text stringlengths 6 9.38M |
|---|
--get all cars
select
cars.year,
cars.model,
cars.trim,
parts.name,
parts.description,
parts.price,
parts.picture,
parts.part_num
from cars
join subaru_key on cars.id = subaru_key.car_id
join parts on subaru_key.part_id = parts.id;
--get all products for specific model, trim, and year
select
cars.year,
cars.model,
cars.trim,
parts.name,
parts.description,
parts.price,
parts.picture,
parts.part_num
from cars
join subaru_key on cars.id = subaru_key.car_id
join parts on subaru_key.part_id = parts.id
where cars.model = 'Outback' and cars.trim = '2.5i' and cars.year = '2018';
--get all orders
select
subaru_users.username,
orders.order_id,
orders.price,
parts.name,
ordered_parts.quanity
from subaru_users
join orders on subaru_users.id = orders.user_id
join ordered_parts on orders.order_id = ordered_parts.order_id
join parts on ordered_parts.part_id = parts.id; |
USE isogjdb;
INSERT INTO isogjdb.city (name) VALUES ('Minsk');
INSERT INTO isogjdb.city (name) VALUES ('Brest');
INSERT INTO isogjdb.type_of_accepted (name_of_accepted) VALUES ('Accept');
INSERT INTO isogjdb.type_of_accepted (name_of_accepted) VALUES ('Not');
INSERT INTO isogjdb.type_of_education (name_type_of_education) VALUES ('High education');
INSERT INTO isogjdb.type_of_education (name_type_of_education) VALUES ('School education');
INSERT INTO isogjdb.type_of_skill (name_of_type_skill) VALUES ('Practical');
INSERT INTO isogjdb.type_of_skill (name_of_type_skill) VALUES ('Theoretical');
INSERT INTO isogjdb.type_of_task (name_type_of_task) VALUES ('Sum type of task');
INSERT INTO isogjdb.type_of_user (name_of_type_user) VALUES ('User');
INSERT INTO isogjdb.type_of_user (name_of_type_user) VALUES ('Company');
INSERT INTO isogjdb.type_of_user (name_of_type_user) VALUES ('Admin');
INSERT INTO isogjdb.type_of_vacancy (name_type_of_vacancy) VALUES ('Dba');
INSERT INTO isogjdb.type_of_vacancy (name_type_of_vacancy) VALUES ('Frontend');
INSERT INTO isogjdb.company (date_of_creation_company, info_of_company, name_of_company, city_of_company) VALUES ('2014-11-14 16:30:18', 'Bsuir company', 'Bsuir', 1);
INSERT INTO isogjdb.gender (name_od_gender) VALUES ('Male');
INSERT INTO isogjdb.gender (name_od_gender) VALUES ('Female');
INSERT INTO isogjdb.position (name_of_position) VALUES ('Junior');
INSERT INTO isogjdb.position (name_of_position) VALUES ('Senior');
INSERT INTO isogjdb.position (name_of_position) VALUES ('Junior');
INSERT INTO isogjdb.position (name_of_position) VALUES ('Senior');
INSERT INTO isogjdb.school (name_of_school, city) VALUES ('Number 6', 1);
INSERT INTO isogjdb.skill (name_of_skill, type_of_skill) VALUES ('Model', 2);
INSERT INTO isogjdb.task (info_of_task, name_of_task, type_of_task) VALUES ('Do frontend', 'Front', 1);
INSERT INTO isogjdb.university (name_of_university, city) VALUES ('BSUIR', 1);
INSERT INTO isogjdb.faculty (name_of_faculty, university) VALUES ('Poit', 1);
INSERT INTO isogjdb.user (active, email, user_name, user_patronymic, user_surname, city_of_living, gender, type_of_user) VALUES (1, 'Vad@bsuir.by', 'Vadim', 'Mikalaevich', 'Vidnichuk', 1, 1, 3);
INSERT INTO isogjdb.user (active, email, user_name, user_patronymic, user_surname, city_of_living, gender, type_of_user) VALUES (1, 'User@Bsuir.by', 'User', 'Userovich', 'Userchuk', 1, 1, 1);
INSERT INTO isogjdb.user (active, email, user_name, user_patronymic, user_surname, city_of_living, gender, type_of_user) VALUES (1, 'Company', 'Company', 'Company', 'Company', 1, 1, 2);
INSERT INTO isogjdb.my_user_credentials (user_login, user_password, user) VALUES ('Admin', 'c1c224b03cd9bc7b6a86d77f5dace40191766c485cd55dc48caf9ac873335d6f', 1);
INSERT INTO isogjdb.my_user_credentials (user_login, user_password, user) VALUES ('User', 'b512d97e7cbf97c273e4db073bbb547aa65a84589227f8f3d9e4a72b9372a24d', 2);
INSERT INTO isogjdb.my_user_credentials (user_login, user_password, user) VALUES ('Company', 'de4743c879734dc38cb3e270ecefcae077c3c2e626f9298115d5a03c8613f89b', 3);
INSERT INTO isogjdb.user_city_to_work (city, user) VALUES (1, 1);
INSERT INTO isogjdb.user_company (company, position, user) VALUES (1, 1, 1);
INSERT INTO isogjdb.user_skill (skill_mark, skill_practical_mark, id_marker, id_skill, id_user) VALUES ('6', '7', 2, 1, 1);
INSERT INTO isogjdb.vacancy (info_of_vacancy, task, type_of_vacancy) VALUES ('Do work', 1, 1);
INSERT INTO isogjdb.vacancy_skill (skill, vacancy) VALUES (1, 1);
INSERT INTO isogjdb.vacancy_user (if_user_accepted, if_company_accepted, user, vacancy) VALUES (2, 2, 1, 1);
INSERT INTO isogjdb.education (end_of_education, start_of_education, faculty, school, type_of_education, user) VALUES ('2014-11-14 16:38:39', '2017-11-14 16:38:42', 1, null, 1, 1);
INSERT INTO isogjdb.experience (date_of_end, date_of_start, prev_company, user) VALUES ('2015-11-14 16:39:36', '2017-11-14 16:39:38', 1, 1);
INSERT INTO isogjdb.summary (text_of_summary, user) VALUES ('Good user summary', 1); |
--- MAKE SURE YOU EDIT efg.sql AFTER ADDING A PATCH ! ---
-- alter cell_type.description to accommodate longer descriptions --
ALTER table cell_type change column description description varchar(80);
# patch identifier
INSERT INTO meta (meta_key, meta_value) VALUES ('patch', 'patch_50_51_a.sql|cell_type_description');
|
SELECT (CASE
WHEN RM101 = 'HA' THEN '桃園'
WHEN RM101 = 'HB' THEN '中壢'
WHEN RM101 = 'HC' THEN '大溪'
WHEN RM101 = 'HD' THEN '楊梅'
WHEN RM101 = 'HE' THEN '蘆竹'
WHEN RM101 = 'HF' THEN '八德'
WHEN RM101 = 'HG' THEN '平鎮'
WHEN RM101 = 'HH' THEN '龜山'
END) AS "收件所", KCNT AS "登記原因", COUNT(*) AS "件數"
FROM MOICAS.CRSMS t
LEFT JOIN MOIADM.RKEYN w
ON t.RM09 = w.KCDE_2
AND w.KCDE_1 = '06' -- 登記原因
WHERE RM07_1 BETWEEN '1090401' and '1090431'
AND RM101 <> 'HB'
AND RM99 = 'Y'
GROUP BY RM101, KCNT |
SELECT
cc.nombre,
j.nrodocumento,
CONCAT(j.apellido, ', ', j.nombres) AS apyn,
CONCAT(tt.temporada,
' ',
ca.categoria,
' ',
di.division,
' ',
t.descripcion) AS torneos,
CONCAT('(', e.idequipo, ') ', e.nombre) AS equipos,
sj.fecha,
sf.cantidadfechas,
0 cumplidas,
ca.categoria
FROM
dbsancionesfallos sf
INNER JOIN
dbsancionesjugadores sj ON sf.refsancionesjugadores = sj.idsancionjugador
INNER JOIN
dbequipos e ON e.idequipo = sj.refequipos
INNER JOIN
dbfixture fix ON fix.idfixture = sj.reffixture
INNER JOIN
dbjugadores j ON j.idjugador = sj.refjugadores
INNER JOIN
dbcountries cc ON cc.idcountrie = j.refcountries
INNER JOIN
dbtorneos t ON t.idtorneo = fix.reftorneos
INNER JOIN
tbtemporadas tt ON t.reftemporadas = tt.idtemporadas
INNER JOIN
tbcategorias ca ON ca.idtcategoria = t.refcategorias
INNER JOIN
tbdivisiones di ON di.iddivision = t.refdivisiones
WHERE
sf.cantidadfechas <> sf.fechascumplidas
OR (sf.fechahasta >= NOW()
AND sf.fechadesde <> '1900-01-01')
ORDER BY j.apellido , j.nombres |
-- View: vg_xxx_stock_move_by_location
-- DROP VIEW vg_xxx_stock_move_by_location;
CREATE OR REPLACE VIEW vg_xxx_stock_move_by_location AS
SELECT a.id,
a.location_id,
a.product_id,
a.description,
a.date,
a.picking_id,
a.company_id,
b.lot_id AS prodlot_id,
CASE
WHEN a.name < 0::numeric THEN (-1)
ELSE 1
END AS stock_qty
FROM stock_move_by_location a
JOIN stock_pack_operation b ON a.picking_id = b.picking_id AND a.product_id = b.product_id AND b.location_dest_id = a.location_id
WHERE a.prodlot_id IS NULL
UNION
SELECT a.id,
a.location_id,
a.product_id,
a.description,
a.date,
a.picking_id,
a.company_id,
b.lot_id AS prodlot_id,
CASE
WHEN a.name < 0::numeric THEN (-1)
ELSE 1
END AS stock_qty
FROM stock_move_by_location a
JOIN stock_pack_operation b ON a.picking_id = b.picking_id AND a.product_id = b.product_id AND b.location_id = a.location_id
WHERE a.prodlot_id IS NULL
UNION
SELECT a.id,
a.location_id,
a.product_id,
a.description,
a.date,
a.picking_id,
a.company_id,
a.prodlot_id,
a.name AS stock_qty
FROM stock_move_by_location a
WHERE a.prodlot_id IS NOT NULL;
ALTER TABLE vg_xxx_stock_move_by_location
OWNER TO postgres;
GRANT ALL ON TABLE vg_xxx_stock_move_by_location TO postgres;
GRANT ALL ON TABLE vg_xxx_stock_move_by_location TO odoo;
GRANT SELECT ON TABLE vg_xxx_stock_move_by_location TO joomla;
|
CREATE OR REPLACE TRIGGER SALARIO_MIN_JUGADOR
BEFORE INSERT OR UPDATE ON Jugador
FOR EACH ROW
DECLARE
v_smi NUMBER(4) := 900;
BEGIN
IF(:new.sueldo <= v_smi) THEN
raise_application_error(-20001, 'El salario del jugador debe ser superior al SMI');
END IF;
END SALARIO_MIN_JUGADOR; |
CREATE TABLE Cities
(
Id INT PRIMARY KEY IDENTITY,
[Name] NVARCHAR(20) NOT NULL,
CountryCode CHAR(2) NOT NULL
)
CREATE TABLE Hotels
(
Id INT PRIMARY KEY IDENTITY,
[Name] NVARCHAR(30) NOT NULL,
CityId INT REFERENCES Cities(Id) NOT NULL,
EmployeeCount INT NOT NULL,
BaseRate DECIMAL(18,2)
)
CREATE TABLE Rooms
(
Id INT PRIMARY KEY IDENTITY,
Price DECIMAL(18,2) NOT NULL,
[Type] NVARCHAR(20) NOT NULL,
Beds INT NOT NULL,
HotelId INT NOT NULL REFERENCES Hotels(Id)
)
CREATE TABLE Trips
(
Id INT PRIMARY KEY IDENTITY,
RoomId INT REFERENCES Rooms(Id),
BookDate DATE NOT NULL,
ArrivalDate DATE NOT NULL,
ReturnDate DATE NOT NULL,
CancelDate DATE,
CHECK(BookDAte<ArrivalDate),
CHECK(ArrivalDate<ReturnDate)
)
CREATE TABLE Accounts
(
Id INT PRIMARY KEY IDENTITY,
FirstName NVARCHAR(50) NOT NULL,
MiddleName NVARCHAR(20),
LastName NVARCHAR(50) NOT NULL,
CityId INT NOT NULL REFERENCES Cities(Id),
BirthDate DATE NOT NULL,
Email VARCHAR(100) NOT NULL UNIQUE
)
CREATE TABLE AccountsTrips
(
AccountId INT NOT NULL REFERENCES Accounts(Id),
TripId INT NOT NULL REFERENCES Trips(Id),
Luggage INT NOT NULL CHECK(Luggage>=0),
PRIMARY KEY(AccountId,TripId)
) |
USE dmab0914_2sem_7;
CREATE TABLE Products
(
id int NOT NULL,
name varchar(15) NOT NULL,
purchasePrice int NOT NULL,
salePrice int NOT NULL,
rentPrice int NOT NULL,
countryOfOrigin char(2),
minStock int NOT NULL,
stock int NOT NULL,
pType varchar(15) NOT NULL,
pDescription varchar(15) NOT NULL,
supplierID int NOT NULL,
PRIMARY KEY(id),
CONSTRAINT fkSupplierID FOREIGN KEY(supplierID) REFERENCES Suppliers(id)
ON DELETE CASCADE
ON UPDATE CASCADE
); |
SELECT pg_terminate_backend(:v1);
|
-- ZUSATZANFRAGE 'FRAUENQUOTE'
-- Anteile Frauen/Männer in den einzelnen Wahlkreisen
SELECT
count(*) as anzahl_maenner,
(SELECT count(*)
FROM kandidaten k2, wahlkreise w2
WHERE k2.wahlkreis_id = w2.id
AND w2.id = w.id) as gesamtanzahl
FROM kandidaten k, wahlkreise w
WHERE k.wahlkreis_id = w.id
AND w.wahljahr = 2017
AND k.geschlecht = 'm'
GROUP BY w.wahljahr, w.id, k.geschlecht;
|
1. 인라인뷰를 사용해서 Student테이블과 department 테이블을 사용해서
학과별로 학생들의 최대키와 몸무게 학과 이름을 출력하세요
-------------------------------------------------------------------
DNAME MAX_HEIGTH MAX_WEIGHT
-------------------------------------------------------------------
Computer Engineering 182 72
-------------------------------------------------------------------
SELECT DNAME, MAX(HEIGHT), MAX(WEIGHT)
FROM (SELECT * FROM STUDENT S JOIN DEPARTMENT D ON S.DEPTNO1 = D.DEPTNO)
GROUP BY DNAME;
2.student 테이블과 department테이블을 사용하여 학과이름,학과별 최대키
학과별로 가장키가 큰학생들의 이름과 키를 인라인뷰를 사용하여 출력하시요
------------------------------------------------------------------------------
DNAME MAX_HEIGTH NAME HEIGHT
-------------------------------------------------------------------------------
Software Engineering 182 Sandra Bullock 182
-------------------------------------------------------------------------------
SELECT S.DNAME, M."MAX_HEIGHT", NAME, HEIGHT
FROM (SELECT * FROM STUDENT S JOIN DEPARTMENT D ON S.DEPTNO1 = D.DEPTNO) S JOIN
(SELECT MAX(HEIGHT) "MAX_HEIGHT",DEPTNO1 FROM STUDENT GROUP BY DEPTNO1) M ON S.DEPTNO1 = M.DEPTNO1 AND S.HEIGHT = "MAX_HEIGHT";
3.student 테이블에서 학생의키가 동일 학년의 평균키보다 큰학생들의 학년과
이름과 키,해당학년의 평균키를 출력하세요(학년컬럼으로 오름차순)
------------------------------------------------------------
GRADE NAME HEIGHT AVG_HEIGHT
------------------------------------------------------------
1 Sean Connery 175 170.4
------------------------------------------------------------
SELECT S1.GRADE, NAME, HEIGHT, "AVG_HEIGHT"
FROM (SELECT * FROM STUDENT) S1 JOIN (SELECT AVG(HEIGHT) "AVG_HEIGHT",GRADE FROM STUDENT GROUP BY GRADE) S2
ON S1.GRADE = S2.GRADE AND S1.HEIGHT > "AVG_HEIGHT"
ORDER BY GRADE;
4.professor 테이블을 조회하여 교수들의 급여순위와 교수이름,급여를출력하세요
급여순위는 급여가 많은 사람부터 1~5위까지 출력하세요.
결과1>
SELECT ROWNUM "RANKING" ,T.NAME, T.PAY
FROM (SELECT NAME, PAY FROM PROFESSOR ORDER BY PAY DESC) T
WHERE ROWNUM >=1 AND ROWNUM <=5;
--------------------------------
Ranking NAME PAY
--------------------------------
1
2
3
4
5
--------------------------------
결과2>
SELECT *
FROM (SELECT ROWNUM "RANKING" ,T.NAME, T.PAY
FROM (SELECT NAME, PAY FROM PROFESSOR ORDER BY PAY DESC) T
WHERE ROWNUM >=1 AND ROWNUM <=5) R
WHERE R."RANKING">=3 AND R."RANKING" <=5;
--------------------------------
Ranking NAME PAY
--------------------------------
3
4
5
--------------------------------
|
-- 내 내장고 속 재료 조회
select a.ingredient_list_id, b.name, b.file_name from
my_refrigerator a left outer join ingredient_list b
on a.ingredient_list_id = b.id
-- 재료 선택 화면에서 선택한 재료명 insert
insert into my_refrigerator (ingredient_name) values ('상추');
-- 내 냉장고 속 재료 삭제
delete from my_refrigerator where id = 2;
|
/*
SQLyog Enterprise Trial - MySQL GUI v7.11
MySQL - 5.7.18-20170830-log : Database - dentist
*********************************************************************
*/
/*!40101 SET NAMES utf8 */;
/*!40101 SET SQL_MODE=''*/;
/*!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 */;
/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */;
CREATE DATABASE /*!32312 IF NOT EXISTS*/`dentist` /*!40100 DEFAULT CHARACTER SET utf8 */;
USE `dentist`;
/*Table structure for table `appoint` */
DROP TABLE IF EXISTS `appoint`;
CREATE TABLE `appoint` (
`orderNumber` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(255) DEFAULT NULL,
`telephone` varchar(255) DEFAULT NULL,
`appointTime` varchar(255) DEFAULT NULL,
`appointDoctor` varchar(255) DEFAULT NULL,
`isDeal` varchar(255) DEFAULT NULL,
`isDelete` varchar(255) DEFAULT NULL,
UNIQUE KEY `orderNumber` (`orderNumber`)
) ENGINE=InnoDB AUTO_INCREMENT=14 DEFAULT CHARSET=utf8;
/*Data for the table `appoint` */
insert into `appoint`(`orderNumber`,`name`,`telephone`,`appointTime`,`appointDoctor`,`isDeal`,`isDelete`) values (1,'','','tuesup','梁少欣',NULL,NULL),(2,'aaa','15523456678','tuesdown','朱傲雪',NULL,NULL),(3,'何小伟','13553475519','tuesup','温凌媛',NULL,NULL),(4,'何小伟','13553475519','tuesup','温凌媛',NULL,NULL),(5,'aaa','aaaaaaaaa','tuesup','朱傲雪',NULL,NULL),(6,'admin','47851254786','tuesup','梁少欣',NULL,NULL),(7,'dd','199999999','monup','何豪麟',NULL,NULL),(8,'123','213','monup','梁少欣',NULL,NULL),(9,'123','23','monup','何豪麟',NULL,NULL),(10,'aaa','aaaaaaaaa','mondown','温凌媛','true',NULL),(11,'aaa','aaaaaaaaa','weddown','梁少欣',NULL,NULL),(12,'aaa','aaaaaaaaa','sunup','朱傲雪',NULL,NULL),(13,'fqp','110','monup','梁少欣','true',NULL);
/*Table structure for table `doctor` */
DROP TABLE IF EXISTS `doctor`;
CREATE TABLE `doctor` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(255) DEFAULT NULL,
`sex` varchar(255) DEFAULT NULL,
`age` int(11) DEFAULT NULL,
`message` varchar(255) DEFAULT NULL,
`isDelete` varchar(255) DEFAULT NULL,
UNIQUE KEY `id` (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8;
/*Data for the table `doctor` */
insert into `doctor`(`id`,`name`,`sex`,`age`,`message`,`isDelete`) values (1,'123','male',12,'123','true'),(2,'朱傲雪','female',17,'国立牙科大学优秀本科毕业生，世界一流牙科医生，有超强的牙科能力',NULL),(3,'芦天腾','female',21,'世立牙科大学毕业，有三年的临床经验，技术娴熟，三秒无痛拔牙技术在学。',NULL);
/*Table structure for table `doctortime` */
DROP TABLE IF EXISTS `doctortime`;
CREATE TABLE `doctortime` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`doctor` varchar(255) DEFAULT NULL,
`monup` int(11) DEFAULT NULL,
`mondown` int(11) DEFAULT NULL,
`tuesup` int(11) DEFAULT NULL,
`tuesdown` int(11) DEFAULT NULL,
`wedup` int(11) DEFAULT NULL,
`weddown` int(11) DEFAULT NULL,
`thurup` int(11) DEFAULT NULL,
`thurdown` int(11) DEFAULT NULL,
`friup` int(11) DEFAULT NULL,
`fridown` int(11) DEFAULT NULL,
`satup` int(11) DEFAULT NULL,
`satdown` int(11) DEFAULT NULL,
`sunup` int(11) DEFAULT NULL,
`sundown` int(11) DEFAULT NULL,
UNIQUE KEY `id` (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=utf8;
/*Data for the table `doctortime` */
insert into `doctortime`(`id`,`doctor`,`monup`,`mondown`,`tuesup`,`tuesdown`,`wedup`,`weddown`,`thurup`,`thurdown`,`friup`,`fridown`,`satup`,`satdown`,`sunup`,`sundown`) values (1,'何豪麟',1,0,0,0,0,0,0,0,0,0,0,0,0,0),(2,'朱傲雪',0,0,0,0,0,0,0,0,0,0,0,0,1,0),(3,'梁少欣',1,0,0,0,0,1,0,0,0,0,0,0,0,0),(4,'温凌媛',0,1,0,0,0,0,0,0,0,0,0,0,0,0);
/*Table structure for table `signupuser` */
DROP TABLE IF EXISTS `signupuser`;
CREATE TABLE `signupuser` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(255) NOT NULL,
`password` varchar(255) DEFAULT NULL,
`isAdmin` varchar(255) DEFAULT NULL,
`isDelete` varchar(255) DEFAULT NULL,
UNIQUE KEY `id` (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=10 DEFAULT CHARSET=utf8;
/*Data for the table `signupuser` */
insert into `signupuser`(`id`,`name`,`password`,`isAdmin`,`isDelete`) values (1,'shiika','123','true',NULL),(2,'mia','123456','true',NULL),(3,'','','false',NULL),(4,'aaa','aaa','false',NULL),(5,'amen','123456','false',NULL),(6,'123','456','false',NULL),(7,'asd','3434','false',NULL),(8,'qwe','123','false',NULL),(9,'Www','123456','false',NULL);
/*!40101 SET SQL_MODE=@OLD_SQL_MODE */;
/*!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS */;
|
DROP TABLE IF EXISTS `brAlliances`;
CREATE TABLE `brAlliances` (
`id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`allianceID` int(11) NOT NULL,
`allianceName` text NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
|
connect infor/sysm@prod
create user idl2 identified by idl2;
grant create session,select any table,create table,create sequence,create view,create procedure to idl2;
alter user idl2 default tablespace dw1 temporary tablespace temp;
alter user idl2 quota 100m on dw1;
|
/*
* Question 1-9
* 1. Result-set is a set of rows queried from the database by SELECT statement.
* 2. UNION ALL returns and combines all the rows queried by two or more SELECT statements in the table, but UNION only returns distinct valuses.
* 3. INTERSECT and EXCEPT.
* 4. UNION is used to combine two or more result-sets, but JOIN is used to combines the rows in two or more tables.
* 5. INNER JOIN only returns rows that have matching values in both left and right table; FULL JOIN returns all rows in left and right table.
* 6. LEFT JOIN returns all the rows in the left table and matched rows in the right table, even there is no matached row in the right table will return NULL; OUTER JOIN returns all the rows in left and right table when there is at least one matched row in left or right table.
* 7. CROSS JOIN returns and combines each row in the left table with each row in the right table.
* 8. WHERE is used to filter individual rows and executed before aggregation; HAVING is applied to group rows as a whole and executed after aggregation.
* 9. Yes.
*/
--Scenarios 1-29
--1.
SELECT COUNT(*)
FROM Production.Product
--2.
SELECT COUNT(ProductSubcategoryID)
FROM Production.Product
WHERE ProductSubcategoryID IS NOT NULL
--3.
SELECT ProductSubcategoryID, COUNT(ProductSubcategoryID) AS CountedProducts
FROM Production.Product
GROUP BY ProductSubcategoryID
HAVING ProductSubcategoryID IS NOT NULL
--4.
SELECT COUNT(*)
FROM Production.Product
WHERE ProductSubcategoryID IS NULL
--5.
SELECT SUM(Quantity)
FROM Production.ProductInventory
--6.
SELECT ProductID, SUM(Quantity) AS TheSum
FROM Production.ProductInventory
WHERE LocationID = 40 AND Quantity <= 100
GROUP BY ProductID
--7.
SELECT Shelf, ProductID, SUM(Quantity) AS TheSum
FROM Production.ProductInventory
WHERE LocationID = 40 AND Quantity <= 100
GROUP BY Shelf, ProductID
--8.
SELECT AVG(Quantity)
FROM Production.ProductInventory
WHERE LocationID = 10
--9.
SELECT ProductID, Shelf, AVG(Quantity)
FROM Production.ProductInventory
GROUP BY ProductID, Shelf
--10.
SELECT ProductID, Shelf, AVG(Quantity)
FROM Production.ProductInventory
WHERE Shelf != 'N/A'
GROUP BY ProductID, Shelf
--11.
SELECT Color, Class, COUNT(ListPrice) AS TheCount, AVG(ListPrice) AS AvgPrice
FROM Production.Product
WHERE Color IS NOT NULL AND Class IS NOT NULL
GROUP BY Color, Class
--12.
SELECT c.Name AS Country, s.Name AS Province
FROM person.CountryRegion c
INNER JOIN person.StateProvince s
ON c.CountryRegionCode = s.StateProvinceCode
--13.
SELECT c.Name AS Country, s.Name AS Province
FROM person.CountryRegion c
INNER JOIN person.StateProvince s
ON c.CountryRegionCode = s.StateProvinceCode
WHERE c.Name IN ('Germany', 'Canada')
--14.
SELECT DISTINCT p.ProductID
FROM Products p
INNER JOIN(
SELECT od.ProductID
FROM [Order Details] od INNER JOIN Orders o
ON od.OrderID = o.OrderID
WHERE Year(getDate()) - Year(OrderDate) <= 25
) od2
ON p.ProductID = od2.ProductID
ORDER BY p.ProductID
--15.
SELECT TOP 5 ShipPostalCode
FROM Orders
GROUP BY ShipPostalCode
ORDER BY COUNT(ShipPostalCode) DESC
--16.
SELECT TOP 5 ShipPostalCode
FROM Orders
WHERE Year(getDate()) - Year(OrderDate) <= 25
GROUP BY ShipPostalCode
ORDER BY COUNT(ShipPostalCode) DESC
--17.
SELECT City, COUNT(CustomerID)
FROM Customers
GROUP BY City
--18.
SELECT City, COUNT(CustomerID)
FROM Customers
GROUP BY City
HAVING COUNT(CustomerID) > 2
--19.
SELECT DISTINCT c.ContactName
FROM Customers c
INNER JOIN Orders o
ON c.CustomerID = o.CustomerID
WHERE o.OrderDate >= '1/1/1998'
--20.
SELECT c.ContactName, MAX(o.OrderDate)
FROM Customers c
INNER JOIN Orders o
ON c.CustomerID = o.CustomerID
GROUP BY c.ContactName
--21.
SELECT c.ContactName, SUM(t.Quantity) AS TotalBought
FROM Customers c
INNER JOIN (
SELECT od.Quantity, o.CustomerID
FROM Orders o
INNER JOIN [Order Details] od
ON o.OrderID = od.OrderID
) t
ON c.CustomerID = t.CustomerID
GROUP BY c.ContactName
--22.
SELECT o.CustomerID
FROM Orders o
INNER JOIN [Order Details] od
ON o.OrderID = od.OrderID
GROUP BY o.CustomerID
HAVING SUM(od.Quantity) > 100
--23.
SELECT sp.CompanyName AS [Supplier Company Name], sh.CompanyName AS [Shipping Company Name]
FROM Suppliers sp
CROSS JOIN Shippers sh
--24.
SELECT o.OrderDate, p.ProductName
FROM Orders o
JOIN [Order Details] od
ON o.OrderID = od.OrderID
JOIN Products p
ON p.ProductID = od.ProductID
--25.
SELECT e1.EmployeeID, e2.EmployeeID
FROM Employees e1
INNER JOIN Employees e2
ON e1.Title = e2.Title
WHERE e1.EmployeeID != e2.EmployeeID
ORDER BY e1.EmployeeID, e2.EmployeeID
--26.
SELECT e1.EmployeeID
FROM Employees e1
INNER JOIN (
SELECT e3.ReportsTo, e3.EmployeeID
FROM Employees e2
INNER JOIN Employees e3
ON e2.EmployeeID = e3.ReportsTo
) e4
ON e1.EmployeeID = e4.ReportsTo
GROUP BY e1.EmployeeID
HAVING COUNT(e4.EmployeeID) > 2
--27.
SELECT City, CompanyName, ContactName, 'Customer' AS TYPE FROM Customers
UNION
SELECT City, CompanyName, ContactName, 'Supplier' AS TYPE FROM Suppliers
--28.
SELECT *
FROM F1
INNER JOIN F2
ON F1.T1 = F2.T2
/* Result
* T1 T2
* -----------
* 2 2
* 3 3
*/
--29.
SELECT *
FROM F1
LEFT JOIN F2
ON F1.T1 = F2.T2
/* Result
* T1 T2
* -----------
* 1 NULL
* 2 2
* 3 3
*/
|
/*
localhost sys계정에 접속
*/
select sal from scott.emp where ename='KING';
-- LOCK경합(sys)
select * from scott.dept;
-- 90번부서가 lock이걸려있으므로 wait
-- 90번부서가 lock이풀리면 update
--transaction시작
update scott.dept set loc='서울'
where deptno=90;
select * from scott.dept;
rollback;
|
-- DROP SCHEMA and Create
DROP DATABASE IF EXISTS chatak_pg;
CREATE DATABASE chatak_pg;
USE chatak_pg;
DROP TABLE IF EXISTS PG_PASSWORD_HISTORY;
DROP TABLE IF EXISTS PG_USER_AUTHENTICATION;
DROP TABLE IF EXISTS PG_USER_PROFILE;
DROP TABLE IF EXISTS PG_USER_ROLES;
DROP TABLE IF EXISTS PG_MERCHANT_BANK;
DROP TABLE IF EXISTS PG_MERCHANT_SETTINGS;
DROP TABLE IF EXISTS PG_MERCHANT;
DROP TABLE IF EXISTS PG_STORE;
DROP TABLE IF EXISTS PG_STORE_SETTINGS;
DROP TABLE IF EXISTS PG_TERMINAL;
DROP TABLE IF EXISTS PG_TERMINAL_SETTINGS;
DROP TABLE IF EXISTS PG_ACTIVITY_LOG;
DROP TABLE IF EXISTS PG_TRANSACTION;
DROP TABLE IF EXISTS PG_TXN_CARD_INFO;
DROP TABLE IF EXISTS PG_ISSUER_LOG;
DROP TABLE IF EXISTS PG_FEE_DETAIL;
DROP TABLE IF EXISTS PG_ACQUIRER;
DROP TABLE IF EXISTS PG_FRAUD_TYPE;
DROP TABLE IF EXISTS PG_FRAUD_CONFIG;
DROP TABLE IF EXISTS PG_BLACKLISTED_CARD;
DROP TABLE IF EXISTS PG_EMV_TRANSACTION;
DROP TABLE IF EXISTS PG_SERVICE_ADMIN_USER;
DROP TABLE IF EXISTS PG_SWITCH_TRANSACTION;
DROP TABLE IF EXISTS PG_SWITCH;
-- 01
-- Table structure for table `PG_USER_ROLES`
--
CREATE TABLE PG_USER_ROLES(
ROLE_ID SMALLINT(2),
ROLE_NAME VARCHAR(30),
constraint RID PRIMARY KEY(ROLE_ID)
)ENGINE=INNODB DEFAULT CHARSET=latin1;
INSERT INTO PG_USER_ROLES (ROLE_ID, ROLE_NAME) VALUES
(1, 'SuperAdmin'),
(2, 'MerchantAdmin'),
(3, 'StoreAdmin'),
(4, 'PortalUser');
-- PGAdmin tables
-- 02
-- Table structure for table `PG_MERCHANT`
--
CREATE TABLE PG_MERCHANT(
ID BIGINT(15) NOT NULL AUTO_INCREMENT,
MERCHANT_ID VARCHAR(15) NOT NULL,
MERCHANT_NAME VARCHAR(50) NOT NULL,
MCC VARCHAR(20),
DAILY_TXN_LIMIT BIGINT(16),
ALLOW_INTERNATIONAL_TXN SMALLINT(1) default 0,
MERCHANT_TYPE VARCHAR(50),
PHONE1 BIGINT(13) NOT NULL,
PHONE2 BIGINT(13),
TIN VARCHAR(20),
SSN VARCHAR(20),
ZIP VARCHAR(10),
ADDRESS1 VARCHAR(50),
ADDRESS2 VARCHAR(50),
CITY VARCHAR(50),
STATE VARCHAR(50),
COUNTRY VARCHAR(50),
CREATED_DATE TIMESTAMP NOT NULL,
UPDATED_DATE TIMESTAMP NOT NULL,
VALID_FROM_DATE TIMESTAMP NOT NULL,
VALID_TO_DATE TIMESTAMP NOT NULL,
STATUS SMALLINT(1) default 0,
CONSTRAINT MI_PK PRIMARY KEY(ID)
)ENGINE=INNODB DEFAULT CHARSET=latin1;
insert into pg_merchant (MERCHANT_ID, MERCHANT_NAME, MCC, DAILY_TXN_LIMIT, ALLOW_INTERNATIONAL_TXN, MERCHANT_TYPE, PHONE1, TIN, ADDRESS1, CREATED_DATE, UPDATED_DATE, VALID_FROM_DATE, VALID_TO_DATE)
values ('222222222222222', "Virtual Merchant1", 'TEST', 10000, 1, 'TEST', 9999999999, "TIN000000001", "virtual Address", now(), now(),now(), now());
-- 03
-- Table structure for table `PG_USER_PROFILE`
--
CREATE TABLE PG_USER_PROFILE(
PROFILE_ID BIGINT(10),
FIRST_NAME VARCHAR(50) NOT NULL,
MIDDLE_NAME VARCHAR(50),
LAST_NAME VARCHAR(50),
DOB TIMESTAMP NOT NULL,
EMAIL VARCHAR(50) NOT NULL UNIQUE,
PASSWORD VARCHAR(50),
SSN VARCHAR(20),
PHONE1 BIGINT(13),
PHONE2 BIGINT(13),
ADDRESS1 VARCHAR(50),
ADDRESS2 VARCHAR(50),
CITY VARCHAR(50),
STATE VARCHAR(50),
ZIP VARCHAR(10),
ROLE_ID SMALLINT(1) NOT NULL,
MERCHANT_ID BIGINT(15) NOT NULL,
STORE_ID BIGINT(10),
CREATED_DATE TIMESTAMP NOT NULL,
UPDATED_DATE TIMESTAMP NOT NULL,
STATUS SMALLINT(1) default 0,
CONSTRAINT UID PRIMARY KEY(PROFILE_ID),
CONSTRAINT FK_ROLEID FOREIGN KEY (ROLE_ID)
REFERENCES PG_USER_ROLES(ROLE_ID),
CONSTRAINT FK_MERCHANT_ID FOREIGN KEY (MERCHANT_ID)
REFERENCES PG_MERCHANT(ID)
)ENGINE=INNODB DEFAULT CHARSET=latin1;
INSERT INTO PG_USER_PROFILE (FIRST_NAME,PROFILE_ID, ROLE_ID, PASSWORD, MERCHANT_ID, EMAIL, CREATED_DATE, UPDATED_DATE) values
('super user', 99999999, 1, '32/3u+t6XemudIJq3adGYw==', 1 , 'testuser@google.com', now(), now());
-- 04
-- Table structure for table `PG_PASSWORD_HISTORY`
--
CREATE TABLE PG_PASSWORD_HISTORY (
ID BIGINT(10) NOT NULL AUTO_INCREMENT,
PROFILE_ID BIGINT(10),
CREATED_DATE TIMESTAMP NOT NULL,
CONSTRAINT AUTH_ID PRIMARY KEY(ID),
CONSTRAINT FK_PGPH_PROFILE_ID FOREIGN KEY (PROFILE_ID)
REFERENCES PG_USER_PROFILE(PROFILE_ID)
)ENGINE=INNODB DEFAULT CHARSET=latin1;
-- 04
-- Table structure for table `PG_USER_AUTHENTICATION`
--
CREATE TABLE PG_USER_AUTHENTICATION (
ID BIGINT(10) NOT NULL AUTO_INCREMENT,
PROFILE_ID BIGINT(10) NOT NULL UNIQUE,
TOKEN VARCHAR(100) NOT NULL UNIQUE,
TOKEN_EXP_TIME TIMESTAMP NOT NULL,
CLIENT_IP VARCHAR(50) NOT NULL,
CONSTRAINT AUTH_ID PRIMARY KEY(ID),
CONSTRAINT FK_PROFILE_ID FOREIGN KEY (PROFILE_ID)
REFERENCES PG_USER_PROFILE(PROFILE_ID)
)ENGINE=INNODB DEFAULT CHARSET=latin1;
-- 04
-- Table structure for table `PG_MERCHANT_BANK`
--
CREATE TABLE PG_MERCHANT_BANK(
ID BIGINT(10) NOT NULL AUTO_INCREMENT,
MERCHANT_ID BIGINT(15) NOT NULL,
BANK_NAME VARCHAR(50) NOT NULL,
BANK_ACC_NUM VARCHAR(20) NOT NULL,
BANK_CODE VARCHAR(20),
CURRENCY_CODE MEDIUMINT(3),
ACCOUNT_TYPE VARCHAR(20),
STATUS SMALLINT(1) default 0,
CREATED_DATE TIMESTAMP ,
UPDATED_DATE TIMESTAMP ,
CREATED_BY BIGINT(10),
CONSTRAINT BID PRIMARY KEY(ID),
CONSTRAINT FK_PGMB_MERCHANT_ID FOREIGN KEY (MERCHANT_ID)
REFERENCES PG_MERCHANT(ID),
CONSTRAINT FK_CREATED_BY FOREIGN KEY (CREATED_BY)
REFERENCES PG_USER_PROFILE(PROFILE_ID)
)ENGINE=INNODB DEFAULT CHARSET=latin1;
-- 05
-- Table structure for table `PG_MERCHANT_SETTINGS`
--
CREATE TABLE PG_MERCHANT_SETTINGS(
ID BIGINT(10) NOT NULL AUTO_INCREMENT,
MERCHANT_ID BIGINT(15) NOT NULL,
SETTLEMENT_OPTION SMALLINT(1) NOT NULL DEFAULT 0,
SETTLEMENT_FREQUENCY MEDIUMINT(3),
MAX_TXN_DAY BIGINT(7) DEFAULT 9999999,
MAX_TXN_WEEK BIGINT(7) DEFAULT 9999999,
MAX_TXN_MONTH BIGINT(7) DEFAULT 9999999,
MAX_TXN_AMT DOUBLE(10,2) DEFAULT 99999.99,
CREATED_DATE TIMESTAMP ,
UPDATED_DATE TIMESTAMP ,
CREATED_BY BIGINT(10),
CONSTRAINT MSID PRIMARY KEY(ID),
CONSTRAINT FK_PGMS_MERCHANT_ID FOREIGN KEY (MERCHANT_ID)
REFERENCES PG_MERCHANT(ID),
CONSTRAINT FK_PGMS_CREATED_BY FOREIGN KEY (CREATED_BY)
REFERENCES PG_USER_PROFILE(PROFILE_ID)
)ENGINE=INNODB DEFAULT CHARSET=latin1;
-- 06
-- Table structure for table `PG_STORE`
--
CREATE TABLE PG_STORE(
STORE_ID BIGINT(10) NOT NULL,
MERCHANT_ID BIGINT(15) NOT NULL,
STORE_NAME VARCHAR(50),
PHONE1 BIGINT(13),
PHONE2 BIGINT(13),
ADDRESS1 VARCHAR(50),
ADDRESS2 VARCHAR(50),
ZIP VARCHAR(10),
CITY VARCHAR(50),
STATE VARCHAR(50),
CREATED_DATE TIMESTAMP ,
UPDATED_DATE TIMESTAMP ,
VALID_FROM_DATE TIMESTAMP NOT NULL,
VALID_TO_DATE TIMESTAMP NOT NULL,
STATUS SMALLINT(1) default 0,
CONSTRAINT UID PRIMARY KEY(STORE_ID),
CONSTRAINT FK_PGS_MERCHANT_ID FOREIGN KEY (MERCHANT_ID)
REFERENCES PG_MERCHANT(ID)
)ENGINE=INNODB DEFAULT CHARSET=latin1;
-- 07
-- Table structure for table `PG_STORE_SETTINGS`
--
CREATE TABLE PG_STORE_SETTINGS(
ID BIGINT(10) NOT NULL AUTO_INCREMENT,
MERCHANT_ID BIGINT(15) NOT NULL,
STORE_ID BIGINT(10),
SETTLEMENT_OPTION MEDIUMINT(1),
SETTLEMENT_FREQUENCY MEDIUMINT(3),
MAX_TXN_DAY BIGINT(7) DEFAULT 9999999,
MAX_TXN_WEEK BIGINT(7) DEFAULT 9999999,
MAX_TXN_MONTH BIGINT(7) DEFAULT 9999999,
MAX_TXN_AMT DOUBLE(10,2) DEFAULT 99999.99,
CREATED_DATE TIMESTAMP ,
UPDATED_DATE TIMESTAMP ,
CREATED_BY BIGINT(10),
CONSTRAINT SSID PRIMARY KEY(ID),
CONSTRAINT FK_PGSS_MERCHANT_ID FOREIGN KEY (MERCHANT_ID)
REFERENCES PG_MERCHANT(ID),
CONSTRAINT FK_PGSS_STORE_ID FOREIGN KEY (STORE_ID)
REFERENCES PG_STORE(STORE_ID),
CONSTRAINT FK_PGSS_CREATED_BY FOREIGN KEY (CREATED_BY)
REFERENCES PG_USER_PROFILE(PROFILE_ID)
)ENGINE=INNODB DEFAULT CHARSET=latin1;
-- 08
-- Table structure for table `PG_TERMINAL`
--
CREATE TABLE PG_TERMINAL(
ID BIGINT(10) NOT NULL AUTO_INCREMENT,
TERMINAL_ID BIGINT(8) NOT NULL,
MERCHANT_ID BIGINT(15) NOT NULL,
STORE_ID BIGINT(10),
CREATED_DATE TIMESTAMP ,
UPDATED_DATE TIMESTAMP ,
VALID_FROM_DATE TIMESTAMP NOT NULL,
VALID_TO_DATE TIMESTAMP NOT NULL,
STATUS SMALLINT(1) default 0,
MAKE VARCHAR(100),
MODEL VARCHAR(100),
TERMINAL_TYPE VARCHAR(50),-- Attended/Un Attended
CATEGORY VARCHAR(50), -- POS/ATM
CURRENCY VARCHAR(20), -- INR/USD/EUR
ZIP VARCHAR(10),
CITY VARCHAR(50),
STATE VARCHAR(50),
COUNTRY VARCHAR(50),
CONSTRAINT TID PRIMARY KEY(ID),
CONSTRAINT FK_PGT_MERCHANT_ID FOREIGN KEY (MERCHANT_ID)
REFERENCES PG_MERCHANT(ID)
-- ,CONSTRAINT FK_PGT_STORE_ID FOREIGN KEY (STORE_ID)
-- REFERENCES PG_STORE(STORE_ID)
)ENGINE=INNODB DEFAULT CHARSET=latin1;
-- insert into pg_terminal (TERMINAL_ID, MERCHANT_ID, STORE_ID, CREATED_DATE, UPDATED_DATE, VALID_FROM_DATE, VALID_TO_DATE)
-- values (22222222, 371815745501832, '', now(), now(), now(), now() );
-- 09
-- Table structure for table `PG_TERMINAL_SETTINGS`
--
CREATE TABLE PG_TERMINAL_SETTINGS(
ID BIGINT(10) NOT NULL AUTO_INCREMENT,
MERCHANT_ID BIGINT(15) NOT NULL,
STORE_ID BIGINT(10),
TERMINAL_ID BIGINT(8) NOT NULL,
SETTLEMENT_OPTION MEDIUMINT(1),
SETTLEMENT_FREQUENCY MEDIUMINT(3),
MAX_TXN_DAY BIGINT(7) DEFAULT 9999999,
MAX_TXN_WEEK BIGINT(7) DEFAULT 9999999,
MAX_TXN_MONTH BIGINT(7) DEFAULT 9999999,
MAX_TXN_AMT DOUBLE(10,2) DEFAULT 99999.99,
CREATED_DATE TIMESTAMP ,
UPDATED_DATE TIMESTAMP ,
CREATED_BY BIGINT(10),
CONSTRAINT SSID PRIMARY KEY(ID),
CONSTRAINT FK_PGTS_MERCHANT_ID FOREIGN KEY (MERCHANT_ID)
REFERENCES PG_MERCHANT(ID),
-- CONSTRAINT FK_PGTS_STORE_ID FOREIGN KEY (STORE_ID) Commented since this is not used
-- REFERENCES PG_STORE(STORE_ID),
CONSTRAINT FK_PGTS_TERMINAL_ID FOREIGN KEY (TERMINAL_ID)
REFERENCES PG_TERMINAL(ID),
CONSTRAINT FK_CREATED_PGTS_BY FOREIGN KEY (CREATED_BY)
REFERENCES PG_USER_PROFILE(PROFILE_ID)
)ENGINE=INNODB DEFAULT CHARSET=latin1;
-- Payment Gateway tables
-- 07
-- Table structure for table `PG_ACTIVITY_LOG`
--
CREATE TABLE PG_ACTIVITY_LOG(
ID BIGINT(10) NOT NULL AUTO_INCREMENT,
SYS_TRACE_NUM BIGINT(12),
REQUEST_IP VARCHAR(20),
REQUEST_PORT MEDIUMINT(5),
RESPONSE_PORT MEDIUMINT(5),
POS_ENTRY_MODE VARCHAR(10),
CHIP_TRANSACTION SMALLINT(1) DEFAULT 0,
PROCESSING_CODE VARCHAR(10),
RESPONSE_CODE VARCHAR(10),
F39 VARCHAR(10),
TXN_AMOUNT DOUBLE(10,2),
ADJ_AMOUNT DOUBLE(10,2),
MTI VARCHAR(4) NOT NULL,
PAN VARCHAR(150),
PAN_MASKED VARCHAR(20),
EXP_DATE VARCHAR(50),
POS_TXN_TIME VARCHAR(6),
POS_TXN_DATE VARCHAR(4),
MCC VARCHAR(4),
TXN_COUNTRY_CODE VARCHAR(3),
TXN_CURRENCY_CODE VARCHAR(3),
AI_COUNTRY_CODE VARCHAR(3),
PAN_COUNTRY_CODE VARCHAR(3),
FWD_COUNTRY_CODE VARCHAR(3),
F55 VARCHAR(1000),
CREATED_DATE TIMESTAMP,
CONSTRAINT ACTIVITYID PRIMARY KEY(ID)
)ENGINE=INNODB DEFAULT CHARSET=latin1;
-- 08
-- Table structure for table `PG_TRANSACTION`
--
CREATE TABLE PG_TRANSACTION(
ID BIGINT(10) NOT NULL AUTO_INCREMENT,
TRANSACTION_ID BIGINT(12) UNIQUE,
REF_TRANSACTION_ID BIGINT(12),
AUTH_ID BIGINT(12),
INVOICE_NUMBER BIGINT(12),
SYS_TRACE_NUM BIGINT(12),
TXN_TYPE VARCHAR(20),
PAYMENT_METHOD VARCHAR(20),
TXN_AMOUNT DOUBLE(10,2),
ADJ_AMOUNT DOUBLE(10,2),
FEE_AMOUNT DOUBLE(10,2),
TOTAL_AMOUNT DOUBLE(10,2),
MERCHANT_ID BIGINT(15) NOT NULL,
TERMINAL_ID BIGINT(8) NOT NULL,
ACQ_CHANNEL VARCHAR(5) NOT NULL DEFAULT "web",
ACQ_TXN_MODE VARCHAR(20) NOT NULL DEFAULT "rest",
ISSUER_TXN_REF_NUM BIGINT(12),
CREATED_DATE TIMESTAMP,
UPDATED_DATE TIMESTAMP,
STATUS SMALLINT(1),
CHIP_TRANSACTION SMALLINT(1) DEFAULT 0,
CHIP_FALLBACK_TRANSACTION SMALLINT(1) DEFAULT 0,
SETTLEMENT_BATCH_ID BIGINT(10),
SETTLEMENT_BATCH_STATUS SMALLINT(1),
MTI VARCHAR(4) NOT NULL,
PROC_CODE VARCHAR(6) NOT NULL,
PAN VARCHAR(150),
PAN_MASKED VARCHAR(20),
EXP_DATE VARCHAR(50),
POS_TXN_TIME VARCHAR(6),
POS_TXN_DATE VARCHAR(4),
MCC VARCHAR(4),
POS_ENTRY_MODE VARCHAR(3),
TXN_COUNTRY_CODE VARCHAR(3),
TXN_CURRENCY_CODE VARCHAR(3),
AI_COUNTRY_CODE VARCHAR(3),
PAN_COUNTRY_CODE VARCHAR(3),
FWD_COUNTRY_CODE VARCHAR(3),
CONSTRAINT TXNID PRIMARY KEY(ID)
)ENGINE=INNODB DEFAULT CHARSET=latin1;
-- 09
-- Table structure for table `PG_TXN_CARD_INFO`
--
CREATE TABLE PG_TXN_CARD_INFO(
ID BIGINT(10) NOT NULL AUTO_INCREMENT,
TRANSACTION_ID BIGINT(12),
CARD_NO VARCHAR(50),
PIN MEDIUMINT(5),
LAST_FOUR VARCHAR(4),
CARD_NO_LENGTH MEDIUMINT(2),
EXP_DATE VARCHAR(4),
NAME_ON_CARD VARCHAR(50),
ADDRESS VARCHAR(50),
AVS_ZIP MEDIUMINT(6),
TRACK1 VARCHAR(100),
TRACK2 VARCHAR(50),
EMV TEXT,
CARD_ACC_TYPE VARCHAR(20),
CREATED_DATE TIMESTAMP,
CONSTRAINT CID PRIMARY KEY(ID)
)ENGINE=INNODB DEFAULT CHARSET=latin1;
-- 10
-- Table structure for table `PG_ISSUER_LOG`
--
CREATE TABLE PG_ISSUER_LOG(
ID BIGINT(10) NOT NULL AUTO_INCREMENT,
REQUEST TEXT,
RESPONSE TEXT,
CREATED_DATE TIMESTAMP,
UPDATED_DATE TIMESTAMP,
CONSTRAINT IID PRIMARY KEY(ID)
)ENGINE=INNODB DEFAULT CHARSET=latin1;
-- 11
-- Table structure for table `PG_FEE_DETAIL`
--
CREATE TABLE PG_FEE_DETAIL(
ID BIGINT(10) NOT NULL AUTO_INCREMENT,
TXN_TYPE VARCHAR(20),
FEE_AMOUNT DOUBLE(10,2),
CREATED_DATE TIMESTAMP,
STATUS SMALLINT(1) default 0,
CONSTRAINT FID PRIMARY KEY(ID)
)ENGINE=INNODB DEFAULT CHARSET=latin1;
INSERT INTO PG_FEE_DETAIL (TXN_TYPE, FEE_AMOUNT, CREATED_DATE)
VALUES
("auth", 0.00, now()),
("sale", 0.00, now()),
("sale-adj", 0.00, now()),
("void", 0.00, now()),
("reversal", 0.00, now());
-- Fraud detection and Merchant config
-- 12
-- Table structure for table `PG_ACQUIRER`
--
CREATE TABLE PG_ACQUIRER(
ACQUIRER_ID BIGINT(10) NOT NULL,
NAME VARCHAR(50),
URL VARCHAR(100),
CONFIG_PARAM1 VARCHAR(50),
CONFIG_PARAM2 VARCHAR(50),
CONFIG_PARAM3 VARCHAR(50),
CONFIG_PARAM4 VARCHAR(50),
CONFIG_PARAM5 VARCHAR(50),
CONFIG_PARAM6 VARCHAR(50),
CREATED_DATE TIMESTAMP,
UPDATED_DATE TIMESTAMP,
STATUS SMALLINT(1) default 0,
CONSTRAINT ACQID PRIMARY KEY(ACQUIRER_ID)
)ENGINE=INNODB DEFAULT CHARSET=latin1;
-- 13
-- Table structure for table `PG_FRAUD_TYPE`
--
CREATE TABLE PG_FRAUD_TYPE(
ID BIGINT(10) NOT NULL AUTO_INCREMENT,
FRAUD_ID MEDIUMINT(5) NOT NULL,
FRAUD_NAME VARCHAR(50),
CREATED_DATE TIMESTAMP,
STATUS SMALLINT(1) default 0,
CONSTRAINT FTID PRIMARY KEY(ID)
)ENGINE=INNODB DEFAULT CHARSET=latin1;
INSERT INTO PG_FRAUD_TYPE ( FRAUD_ID, FRAUD_NAME, CREATED_DATE )
VALUES
(1, 'BLACKLIST CARD', NOW() ),
(2, 'COUNTRY BLOCK', NOW() ),
(3, 'IP ACTIVITY LIMIT', NOW() ),
(4, 'CRAMMING PROTECTION', NOW() ),
(5, 'CVV2 CHECK', NOW() ),
(6, 'VELOCITY CHECK', NOW() ),
(7, 'AMOUNT CHECK', NOW() ),
(8, 'BIN COUNTRY CHECK ', NOW() ),
(9, 'AVS CHECK', NOW() ),
(10, 'SSL CONFIG', NOW() ),
(11, 'THIRD PARTY ANTI FRAUD', NOW() );
-- 14
-- Table structure for table `PG_FRAUD_CONFIG`
--
CREATE TABLE PG_FRAUD_CONFIG(
ID BIGINT(10) NOT NULL AUTO_INCREMENT,
ACQUIRER_ID MEDIUMINT(5) NOT NULL,
FRAUD_ID MEDIUMINT(5) NOT NULL,
FRAUD_NAME VARCHAR(50),
CONFIG_PARAM1 VARCHAR(50),
CONFIG_PARAM2 VARCHAR(50),
CONFIG_PARAM3 VARCHAR(50),
CONFIG_PARAM4 VARCHAR(50),
CONFIG_PARAM5 VARCHAR(50),
CREATED_DATE TIMESTAMP,
STATUS SMALLINT(1) default 0,
CONSTRAINT FCID PRIMARY KEY(ID)
)ENGINE=INNODB DEFAULT CHARSET=latin1;
-- 15
-- Table structure for table `PG_BLACKLISTED_CARD`
--
CREATE TABLE PG_BLACKLISTED_CARD(
ID BIGINT(10) NOT NULL AUTO_INCREMENT,
CARD_NUM VARCHAR(50),
CREATED_DATE TIMESTAMP,
STATUS SMALLINT(1) default 0,
CONSTRAINT BLCID PRIMARY KEY(ID)
)ENGINE=INNODB DEFAULT CHARSET=latin1;
INSERT INTO PG_BLACKLISTED_CARD (CARD_NUM, CREATED_DATE ) VALUES
("1111111111111111", NOW() );
-- 16
-- Table structure for table `PG_FEATURES`
--
CREATE TABLE PG_FEATURES(
FEATURE_ID SMALLINT(2),
FEATURE_NAME VARCHAR(30),
FEATURE_URL VARCHAR(100),
constraint FID PRIMARY KEY(FEATURE_ID)
)ENGINE=INNODB DEFAULT CHARSET=latin1;
INSERT INTO PG_FEATURES (FEATURE_ID, FEATURE_NAME, FEATURE_URL) VALUES
(1, 'Merchant Management', 'merchantManagement'),
(2, 'User Management', 'userManagement'),
(3, 'Transaction Management', 'transactionManagement'),
(4, 'Settlement Report', 'settlementReport');
-- 17
-- Table structure for table `PG_SUB_FEATURES`
--
CREATE TABLE PG_SUB_FEATURES(
SUB_FEATURE_ID SMALLINT(2),
FEATURE_ID SMALLINT(2),
FEATURE_NAME VARCHAR(30),
FEATURE_URL VARCHAR(100),
constraint SFID PRIMARY KEY(SUB_FEATURE_ID),
CONSTRAINT PGSF_FEATURE_ID FOREIGN KEY (FEATURE_ID)
REFERENCES PG_FEATURES(FEATURE_ID)
)ENGINE=INNODB DEFAULT CHARSET=latin1;
INSERT INTO PG_SUB_FEATURES (SUB_FEATURE_ID, FEATURE_ID, FEATURE_NAME, FEATURE_URL) VALUES
(1, 1, 'Store Management', 'storeManagement'),
(2, 1, 'Terminal Merchant', 'terminalmanagement'),
(3, 3, 'Transaction Report', 'transactionReport'),
(4, 3, 'Transaction Summary', 'transactionSummary');
-- 18
-- Table structure for table `PG_ROLE_FEATURE_MAPPING`
--
CREATE TABLE PG_ROLE_FEATURE_MAPPING(
ID MEDIUMINT(5) NOT NULL AUTO_INCREMENT,
ROLE_ID SMALLINT(2) NOT NULL,
FEATURE_ID SMALLINT(2) NOT NULL,
DISPLAY_ORDER SMALLINT(3) NOT NULL,
CONSTRAINT RFID PRIMARY KEY(ID),
CONSTRAINT FK_ROLE_ID FOREIGN KEY (ROLE_ID)
REFERENCES PG_USER_ROLES(ROLE_ID),
CONSTRAINT FK_FEATURE_ID FOREIGN KEY (FEATURE_ID)
REFERENCES PG_FEATURES(FEATURE_ID)
)ENGINE=INNODB DEFAULT CHARSET=latin1;
-- POS Testing records
insert into pg_merchant (MERCHANT_ID, MERCHANT_NAME, MCC, DAILY_TXN_LIMIT, ALLOW_INTERNATIONAL_TXN, MERCHANT_TYPE, PHONE1, TIN, ADDRESS1, CREATED_DATE, UPDATED_DATE, VALID_FROM_DATE, VALID_TO_DATE, STATUS)
values ('471382812818315', "POS merchant", 'TEST', 10000, 1, 'TEST',9999999999, "TIN000000001", "Virtual Address", now(), now(), now(), now(), 0);
insert into PG_STORE ( STORE_ID, MERCHANT_ID, STORE_NAME, CREATED_DATE, UPDATED_DATE, VALID_FROM_DATE, VALID_TO_DATE, STATUS)
values (41314311, 2, "POS store", now(), now(),now(), now(), 0);
insert into pg_terminal (TERMINAL_ID, MERCHANT_ID, STORE_ID, CREATED_DATE, UPDATED_DATE, VALID_FROM_DATE, VALID_TO_DATE, STATUS)
values (85531523, 2, 41314311 , now(), now(),now(), now(), 0);
INSERT INTO PG_ROLE_FEATURE_MAPPING (ROLE_ID, FEATURE_ID, DISPLAY_ORDER)
VALUES
(1, 1, 1),
(1, 2, 2),
(1, 3, 3),
(1, 4, 4),
(2, 1, 1),
(2, 2, 2),
(2, 3, 4),
(2, 4, 3);
-- 19
-- Table structure for table `PG_USER_ACCOUNT`
--
CREATE TABLE PG_USER_ACCOUNT (
ID BIGINT(20) NOT NULL AUTO_INCREMENT,
ACCOUNT_NUMBER VARCHAR(20) NOT NULL,
ACC_HOLDER_ID BIGINT(20) NOT NULL,
ACCOUNT_TYPE VARCHAR(50) NOT NULL,
CURRENCY VARCHAR(5),
STATUS INTEGER(1) NOT NULL DEFAULT 0 CHECK('STATUS' IN (0,1,2,3,4,5,6)),
DELETED INTEGER(1) NOT NULL DEFAULT 0 CHECK('DELETED' IN (0,1)),
CREATED_DATE TIMESTAMP NOT NULL,
CREATED_BY BIGINT(20) NOT NULL,
UPDATED_DATE TIMESTAMP,
UPDATED_BY BIGINT(20),
CONSTRAINT PG_ACCOUNT_ID_PK PRIMARY KEY (ID)
)ENGINE=INNODB DEFAULT CHARSET=LATIN1;
-- 20
-- Table structure for table `PG_USER_ACCOUNT_BALANCE`
--
CREATE TABLE PG_USER_ACCOUNT_BALANCE (
ID BIGINT(20) NOT NULL AUTO_INCREMENT,
ACCOUNT_ID BIGINT(20) NOT NULL,
ACCOUNT_BALANCE BIGINT(20) NOT NULL,
CREATED_DATE TIMESTAMP NOT NULL,
CREATED_BY BIGINT(20) NOT NULL,
UPDATED_DATE TIMESTAMP,
UPDATED_BY BIGINT(20),
CONSTRAINT PG_ACCOUNT_BALANCE_ID_PK PRIMARY KEY (ID)
)ENGINE=INNODB DEFAULT CHARSET=LATIN1;
ALTER TABLE PG_TRANSACTION ADD COLUMN ACCOUNT_NUMBER VARCHAR(20) DEFAULT NULL;
-- 21
-- Table structure for table `PG_SERVICE_ADMIN_USER`
--
CREATE TABLE PG_SERVICE_ADMIN_USER(
ID BIGINT(10) NOT NULL AUTO_INCREMENT,
NAME VARCHAR(100),
USER_EMAIL VARCHAR(100),
P_PASSWORD VARCHAR(200),
PG_SERVICE_TYPE INTEGER(1) NOT NULL DEFAULT 0 CHECK('PG_SERVICE_TYPE' IN (0,1,2,3,4)),
STATUS INTEGER(1) NOT NULL DEFAULT 0 CHECK('STATUS' IN (0,1,2,3,4,5,6)),
constraint SAID PRIMARY KEY(ID)
)ENGINE=INNODB DEFAULT CHARSET=latin1;
INSERT INTO PG_SERVICE_ADMIN_USER VALUES(1, 'PG Acquirer Admin', 'raj.k@girmiti.com', '5F37EF747797C8D64A41BE8BAF5519D2', 1, 1);
-- 21
-- Table structure for table `PG_EMV_TRANSACTION`
--
CREATE TABLE PG_EMV_TRANSACTION(
ID BIGINT(10) NOT NULL AUTO_INCREMENT,
PG_TRANSACTION_ID BIGINT(12) ,
AID VARCHAR(50),
IST VARCHAR(50),
IST1 VARCHAR(50),
AIP VARCHAR(50),
IID VARCHAR(50),
TVR VARCHAR(50),
AED VARCHAR(50),
FCI VARCHAR(50),
FCIP VARCHAR(50),
TXN_STATUS_INFO VARCHAR(50),
PSL VARCHAR(50),
TAVN VARCHAR(50),
IAD VARCHAR(50),
IFD VARCHAR(50),
APP_CRYPTO VARCHAR(50),
CRYPTO_INFO VARCHAR(50),
TERMINAL_CAPABILITIES VARCHAR(50),
CVMR VARCHAR(50),
TERMINAL_TYPE VARCHAR(50),
ATC VARCHAR(50),
UNPRED_NUMBER VARCHAR(50),
TSN VARCHAR(50),
TCC VARCHAR(50),
ISR VARCHAR(50),
LAN_PREF VARCHAR(10),
CONSTRAINT EMVTXNID PRIMARY KEY(ID),
CONSTRAINT FK_EMVTXNID FOREIGN KEY (PG_TRANSACTION_ID)
REFERENCES PG_TRANSACTION(TRANSACTION_ID)
)ENGINE=INNODB DEFAULT CHARSET=latin1;
-- 22
-- Table structure for table `PG_SWITCH`
--
CREATE TABLE PG_SWITCH(
ID BIGINT(10) NOT NULL AUTO_INCREMENT,
SWITCH_NAME VARCHAR(50) NOT NULL,
SWITCH_TYPE VARCHAR(50) NOT NULL,
SWITCH_IP VARCHAR(50),
SWITCH_PORT VARCHAR(50),
STATUS SMALLINT(1),
PRIORITY INT(2) DEFAULT 1,
CREATED_BY BIGINT(10),
UPDATED_BY BIGINT(10),
CONSTRAINT SWITCHID PRIMARY KEY(ID)
)ENGINE=INNODB DEFAULT CHARSET=latin1;
INSERT INTO PG_SWITCH VALUES(1, 'Chatak Switch', 'SOCKET', 'localhost', '20134', 1,1,1,1);
-- 23
-- Table structure for table `PG_SWITCH_TRANSACTION`
--
CREATE TABLE PG_SWITCH_TRANSACTION(
ID BIGINT(10) NOT NULL AUTO_INCREMENT,
TRANSACTION_ID BIGINT(12) UNIQUE,
PG_TRANSACTION_ID BIGINT(12),
SWITCH_ID BIGINT(12) DEFAULT 1,
TXN_AMOUNT DOUBLE(10,2),
CREATED_DATE TIMESTAMP,
STATUS SMALLINT(1),
SETTLEMENT_BATCH_ID BIGINT(10),
SETTLEMENT_BATCH_STATUS SMALLINT(1),
MTI VARCHAR(4) NOT NULL,
PAN VARCHAR(150),
PAN_MASKED VARCHAR(20),
MCC VARCHAR(4),
POS_ENTRY_MODE VARCHAR(3),
CONSTRAINT PGSWITCHTXNID PRIMARY KEY(ID),
CONSTRAINT FK_SWITCHTXNID FOREIGN KEY (PG_TRANSACTION_ID)
REFERENCES PG_TRANSACTION(TRANSACTION_ID),
CONSTRAINT FK_SWITCHID FOREIGN KEY (SWITCH_ID)
REFERENCES PG_SWITCH(ID)
)ENGINE=INNODB DEFAULT CHARSET=latin1;
|
-- phpMyAdmin SQL Dump
-- version 4.4.14
-- http://www.phpmyadmin.net
--
-- Host: 127.0.0.1
-- Generation Time: Nov 23, 2015 at 11:25 AM
-- Server version: 5.6.26
-- PHP Version: 5.6.12
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `sisma`
--
-- --------------------------------------------------------
--
-- Table structure for table `tbl_dokumen`
--
CREATE TABLE IF NOT EXISTS `tbl_dokumen` (
`no_dok` varchar(100) NOT NULL,
`nm_dok` varchar(100) NOT NULL,
`asal` varchar(50) DEFAULT NULL,
`penerima` varchar(50) DEFAULT NULL,
`kategori` varchar(25) DEFAULT NULL,
`sifat` varchar(25) DEFAULT NULL,
`versi` varchar(5) DEFAULT NULL,
`tgl_dok` date NOT NULL,
`tgl_terima` date NOT NULL,
`kondisi` varchar(35) DEFAULT NULL,
`keterangan` text,
`kd_pekerjaan` varchar(25) NOT NULL,
`kd_map` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Table structure for table `tbl_index`
--
CREATE TABLE IF NOT EXISTS `tbl_index` (
`index_arsip` varchar(50) NOT NULL,
`judul` varchar(100) NOT NULL,
`instansi` varchar(150) DEFAULT NULL,
`tgl_input` date NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Table structure for table `tbl_lokasi`
--
CREATE TABLE IF NOT EXISTS `tbl_lokasi` (
`kd_lokasi` int(11) NOT NULL,
`gedung` varchar(50) NOT NULL,
`lantai` varchar(15) NOT NULL,
`rak` varchar(15) NOT NULL,
`baris` varchar(15) NOT NULL,
`kolom` varchar(15) NOT NULL,
`file_path` varchar(150) DEFAULT NULL,
`no_dok` varchar(100) NOT NULL,
`kd_map` int(11) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Table structure for table `tbl_maps`
--
CREATE TABLE IF NOT EXISTS `tbl_maps` (
`kd_map` int(11) NOT NULL,
`lokasi` varchar(60) NOT NULL,
`lat` float(10,6) NOT NULL,
`lng` float(10,6) NOT NULL
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Table structure for table `tbl_pekerjaan`
--
CREATE TABLE IF NOT EXISTS `tbl_pekerjaan` (
`kd_pekerjaan` varchar(25) NOT NULL,
`nm_pekerjaan` varchar(200) NOT NULL,
`unit` int(11) DEFAULT NULL,
`tahun` year(4) NOT NULL,
`provinsi` varchar(50) DEFAULT NULL,
`kabupaten` varchar(50) DEFAULT NULL,
`kecamatan` varchar(50) DEFAULT NULL,
`desa` varchar(50) DEFAULT NULL,
`status` varchar(50) NOT NULL,
`keterangan` text NOT NULL,
`index_arsip` varchar(50) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Table structure for table `tbl_user`
--
CREATE TABLE IF NOT EXISTS `tbl_user` (
`id` int(11) NOT NULL,
`nama` varchar(150) NOT NULL,
`alamat` text NOT NULL,
`email` varchar(100) DEFAULT NULL,
`nohp` varchar(15) NOT NULL,
`tpt_lahir` varchar(50) NOT NULL,
`tgl_lahir` date NOT NULL,
`username` varchar(50) NOT NULL,
`password` varchar(100) NOT NULL,
`role` varchar(25) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Indexes for dumped tables
--
--
-- Indexes for table `tbl_dokumen`
--
ALTER TABLE `tbl_dokumen`
ADD PRIMARY KEY (`no_dok`);
--
-- Indexes for table `tbl_index`
--
ALTER TABLE `tbl_index`
ADD PRIMARY KEY (`index_arsip`);
--
-- Indexes for table `tbl_lokasi`
--
ALTER TABLE `tbl_lokasi`
ADD PRIMARY KEY (`kd_lokasi`);
--
-- Indexes for table `tbl_maps`
--
ALTER TABLE `tbl_maps`
ADD PRIMARY KEY (`kd_map`);
--
-- Indexes for table `tbl_pekerjaan`
--
ALTER TABLE `tbl_pekerjaan`
ADD PRIMARY KEY (`kd_pekerjaan`);
--
-- Indexes for table `tbl_user`
--
ALTER TABLE `tbl_user`
ADD PRIMARY KEY (`id`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `tbl_lokasi`
--
ALTER TABLE `tbl_lokasi`
MODIFY `kd_lokasi` int(11) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `tbl_maps`
--
ALTER TABLE `tbl_maps`
MODIFY `kd_map` int(11) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `tbl_user`
--
ALTER TABLE `tbl_user`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
alter table `elearning`.tc_student_answer
add column sys_subjective_point varchar(10) null comment '系统主观评分值（S、A、B、C、D、E）' after update_date,
ADD COLUMN sys_subjective_date datetime null COMMENT '系统主观评分时间' AFTER sys_subjective_point,
ADD COLUMN man_subjective_point varchar(10) null COMMENT '人工主观评分值（S、A、B、C、D、E）' AFTER sys_subjective_date,
ADD COLUMN man_subjective_by varchar(64) null COMMENT '人工主观评分人id' AFTER man_subjective_point,
ADD COLUMN man_subjective_date datetime null COMMENT '人工主观评分时间' AFTER man_subjective_by
;
|
/***********************************************************************************************
DATE FUNCIONS
***********************************************************************************************/
/*
SYSDATE
Parameters: None
will return the date and time of the operating system on which the server resides.
*/
/*
ROUND(d,i)
Parameters: d is a date (required); i is a format model (optional).
*/
alter session set NLS_DATE_FORMAT='YYYY/MM/DD HH24:MI:SS' ;
select sysdate as now
, round(sysdate) -- defaults to "DD"
, round(sysdate,'DD')
, round(sysdate,'HH')
, round(sysdate,'W')
, round(sysdate,'MM')
, round(sysdate,'RR')
, round(sysdate,'RRRR')
, round(sysdate,'YY')
, round(sysdate,'YYYY')
from dual ;
/*
TRUNC(d,i)
Parameters: d is a date (required); i is a format model (optional).
Process: Performs the same task as ROUND for dates, except TRUNC always rounds down.
*/
select sysdate as now
, TRUNC(sysdate) -- defaults to "DD"
, TRUNC(sysdate,'DD')
, TRUNC(sysdate,'HH')
, TRUNC(sysdate,'W')
, TRUNC(sysdate,'MM')
, TRUNC(sysdate,'RR')
, TRUNC(sysdate,'RRRR')
, TRUNC(sysdate,'YY')
, TRUNC(sysdate,'YYYY')
from dual ;
alter session set NLS_DATE_FORMAT='DD-MON-RR' ;
/*
NEXT_DAY(d, c)
Parameters: d is a date, required; c is a text reference to a day of the week,
required.
Process: Returns a valid date representing the first occurrence of the c day
following the date represented in d.
*/
SELECT NEXT_DAY('31-MAG-11','Sabato')
FROM DUAL;
/*
LAST_DAY(d)
Parameters: d is a date, required.
Process: Returns the last day of the month in which d falls.
*/
SELECT LAST_DAY('14-FEB-11'), LAST_DAY('20-FEB-12')
FROM DUAL;
/*
ADD_MONTHS(d, n)
Parameters: d is a date, required; n is a whole number, required.
Process: Adds n months to d, and returns a valid date value for the result.
*/
SELECT ADD_MONTHS('31-GEN-11',1), -- 28-FEB-11
ADD_MONTHS('01-NOV-11',4), -- 01-MAR-12
ADD_MONTHS('31-GEN-11',-2), -- 30-NOV-11
ADD_MONTHS('01-NOV-11',-4) -- 01-LUG-11
FROM DUAL;
/*
MONTHS_BETWEEN(d1, d2)
Parameters: d1 and d2 are dates, required.
Process: Determines the number of months between the two dates. The result
does not round off automatically—if the result is a partial month,
MONTHS_BETWEEN shows a real number result. Whole months are counted according
to the calendar months involved—if the time spans, say, a February that
has 29 days, then the one month time span for that time period will be 29 days.
The first parameter is expected to be the greater value; the second is expected
to be the lesser. But that’s not required, and as you can see from these examples,
either approach works, but notice the sign of the result—if the second parameter
is the greater value, the result is a negative number.
*/
select MONTHS_BETWEEN('01-GEN-12', '01-FEB-12') from dual; --> -1 ** ATTENZIONE AI SEGNI !!
select MONTHS_BETWEEN('01-FEB-12', '01-GEN-12') from dual; --> +1 ** ATTENZIONE AI SEGNI !!
select MONTHS_BETWEEN('10-AGO-14', '10-LUG-14') from dual; --> +1 ** ATTENZIONE AI SEGNI !!
SELECT MONTHS_BETWEEN('12-GIU-14', '03-OTT-13') FROM DUAL; --> 8.29032258064516129032258064516129032258
/*
NUMTOYMINTERVAL(n, interval_unit)
Parameters: n = number (required).
interval_unit = one of the following values: ‘YEAR’ or ‘MONTH’.
Process: Transform the number n into a value that represents the interval_unit amount of time.
Output: A value in the INTERVAL YEAR TO MONTH datatype.
*/
select NUMTOYMINTERVAL(27, 'MONTH') from dual; --> 2-3 means 2 years and 3 months
/*
NUMTODSINTERVAL(n, interval_unit)
Parameters: n = number (required).
interval_unit = one of the following: ‘DAY’, ‘HOUR’, ‘MINUTE’, or ‘SECOND’.
Process: Converts the numeric value into an interval of time according to the
value of interval_unit.
Output: A value of the datatype INTERVAL DAY TO SECOND.
*/
select NUMTODSINTERVAL(36, 'HOUR') from dual; --> +01 12:00:00.000000 means 1 day and 12 hours
/*
TO_DSINTERVAL(chr, nlsparam)
converts a character string of CHAR, VARCHAR2, NCHAR, or NVARCHAR2 datatype
to an INTERVAL DAY TO SECOND value
The only valid nlsparam you can specify in this function is NLS_NUMERIC_CHARACTERS.
This argument can have the form:
NLS_NUMERIC_CHARACTERS = "dg"
*/
SELECT employee_id, last_name FROM hr.employees
WHERE hire_date + TO_DSINTERVAL('100 10:00:00');
|
use osabluepages;
source category.sql;
source out.out; |
select mu.userid,
mu.page_id,
mp.page_name
from tb_master_user_menu as mu with (nolock)
inner join tb_master_menu_page as mp with (nolock)
on mu.page_id = mp.page_id
--where mu.userid = 'bphi'
and mu.page_id > 100 |
ALTER TABLE `account` CHANGE `avalaible_value` `available_value` INT( 11 ) NOT NULL ; |
# Host: localhost (Version: 5.5.40)
# Date: 2017-08-28 20:28:29
# Generator: MySQL-Front 5.3 (Build 4.120)
/*!40101 SET NAMES utf8 */;
/************************************* 更改或新建表 *****************************/
#
# Structure for table "bh_room"
#
DROP TABLE IF EXISTS `bh_room`;
CREATE TABLE `bh_room` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`type_id` smallint(5) unsigned DEFAULT NULL COMMENT '房间类型',
`display_name` varchar(20) not null default '' comment '房间全名',
`building` varchar(4) DEFAULT NULL,
`unit` tinyint(1) unsigned DEFAULT NULL,
`room_name` varchar(5) DEFAULT NULL,
`person_number` TINYINT(2) UNSIGNED DEFAULT 0 COMMENT '房间内人数',
`record` TEXT comment '房间大事记',
`room_remark` varchar(255) DEFAULT NULL,
PRIMARY KEY (`id`),
KEY `display_name` (`display_name`),
KEY `building` (`building`),
KEY `unit` (`unit`),
KEY `room_name` (`room_name`),
KEY `type_id` (`type_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
DROP TABLE IF EXISTS `bh_room_type`;
CREATE TABLE `bh_room_type` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`type_name` varchar(20) DEFAULT NULL COMMENT '房间类型 1|大学生 2|职工 3|派遣工 4|租赁',
`description` varchar(255) DEFAULT '',
`created_at` datetime DEFAULT NULL,
`deleted` TINYINT(1) UNSIGNED DEFAULT 0,
`deleted_at` DATETIME DEFAULT NULL ,
PRIMARY KEY (`id`),
KEY `type_name` (`type_name`)
) ENGINE=InnoDB AUTO_INCREMENT=938 DEFAULT CHARSET=utf8;
/************************************* 新建表结束 *****************************/
#
# Structure for table "bh_access"
#
DROP TABLE IF EXISTS `bh_access`;
CREATE TABLE `bh_access` (
`role_id` smallint(6) unsigned NOT NULL,
`node_id` smallint(6) unsigned NOT NULL,
`level` tinyint(1) NOT NULL,
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=548 DEFAULT CHARSET=utf8;
#
# Structure for table "bh_admin"
#
DROP TABLE IF EXISTS `bh_admin`;
CREATE TABLE `bh_admin` (
`aid` smallint(5) unsigned NOT NULL AUTO_INCREMENT COMMENT '用户名表主键',
`username` char(10) NOT NULL DEFAULT '' COMMENT '用户名',
`display_name` varchar(20) DEFAULT NULL,
`password` char(32) NOT NULL DEFAULT '' COMMENT '密码',
`logintime` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '最后登录时间',
`rid` smallint(5) unsigned NOT NULL,
PRIMARY KEY (`aid`)
) ENGINE=MyISAM AUTO_INCREMENT=8 DEFAULT CHARSET=utf8;
#
# Structure for table "bh_college"
#
DROP TABLE IF EXISTS `bh_college`;
CREATE TABLE `bh_college` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`room_id` int(10) unsigned DEFAULT NULL,
`department` char(13) NOT NULL DEFAULT '' COMMENT '部门',
`name` char(4) NOT NULL DEFAULT '' COMMENT '姓名',
`sex` tinyint(1) NOT NULL DEFAULT '1' COMMENT '性别 1|男 2|女',
`bed_number` tinyint(1) DEFAULT NULL COMMENT '床号',
`edu` tinyint(1) NOT NULL DEFAULT '0' COMMENT '0|本科以下',
`entrancetime` char(10) NOT NULL DEFAULT '' COMMENT '入住时间',
`tel` char(13) NOT NULL DEFAULT '' COMMENT '电话',
`remark` varchar(255) NOT NULL DEFAULT '' COMMENT '备注',
`identify` char(18) NOT NULL DEFAULT '',
PRIMARY KEY (`id`),
KEY `room_id_key` (`room_id`),
KEY `name_key` (`name`),
KEY `tel_key` (`tel`)
) ENGINE=InnoDB AUTO_INCREMENT=946 DEFAULT CHARSET=utf8;
#
# Structure for table "bh_college_move"
#
DROP TABLE IF EXISTS `bh_college_move`;
CREATE TABLE `bh_college_move` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`old_room` varchar(10) NOT NULL DEFAULT '' COMMENT '原房间',
`department` char(13) NOT NULL DEFAULT '' COMMENT '部门',
`name` char(4) NOT NULL DEFAULT '' COMMENT '姓名',
`sex` tinyint(1) NOT NULL COMMENT '性别',
`bed_number` tinyint(1) DEFAULT NULL COMMENT '床号',
`edu` tinyint(1) NOT NULL DEFAULT '0' COMMENT '0|本科以下',
`entrancetime` char(10) NOT NULL DEFAULT '' COMMENT '入住时间',
`tel` char(13) NOT NULL DEFAULT '' COMMENT '电话',
`remark` varchar(255) NOT NULL DEFAULT '' COMMENT '备注',
`move_time` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '退房时间',
`new_room` varchar(10) NOT NULL DEFAULT '' COMMENT '新房间',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=293 DEFAULT CHARSET=utf8;
#
# Structure for table "bh_college_quit"
#
DROP TABLE IF EXISTS `bh_college_quit`;
CREATE TABLE `bh_college_quit` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`room` char(10) NOT NULL DEFAULT '' COMMENT '房间全名，不关联room表',
`department` char(13) NOT NULL DEFAULT '' COMMENT '部门',
`name` char(4) NOT NULL DEFAULT '' COMMENT '姓名',
`sex` tinyint(1) NOT NULL COMMENT '性别',
`bed_number` tinyint(1) DEFAULT NULL COMMENT '床号',
`edu` tinyint(1) NOT NULL DEFAULT '0' COMMENT '0|本科以下',
`entrancetime` char(10) NOT NULL DEFAULT '' COMMENT '入住时间',
`tel` char(13) NOT NULL DEFAULT '' COMMENT '电话',
`remark` varchar(255) NOT NULL DEFAULT '' COMMENT '备注',
`quit_time` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '退房时间',
PRIMARY KEY (`id`),
KEY `name_key` (`name`)
) ENGINE=InnoDB AUTO_INCREMENT=422 DEFAULT CHARSET=utf8;
#
# Structure for table "bh_dispatch"
#
DROP TABLE IF EXISTS `bh_dispatch`;
CREATE TABLE `bh_dispatch` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`room_id` int(10) unsigned DEFAULT NULL,
`department` char(13) NOT NULL DEFAULT '' COMMENT '部门',
`name` char(4) NOT NULL DEFAULT '' COMMENT '姓名',
`sex` tinyint(1) NOT NULL COMMENT '性别',
`bed_number` tinyint(1) DEFAULT NULL COMMENT '床号',
`edu` tinyint(1) NOT NULL DEFAULT '0' COMMENT '0|本科以下',
`entrancetime` char(10) NOT NULL DEFAULT '' COMMENT '入住时间',
`tel` char(13) NOT NULL DEFAULT '' COMMENT '电话',
`remark` varchar(255) NOT NULL DEFAULT '' COMMENT '备注',
PRIMARY KEY (`id`),
KEY `room_id_key` (`room_id`),
KEY `name_key` (`name`),
KEY `tel_key` (`tel`)
) ENGINE=InnoDB AUTO_INCREMENT=744 DEFAULT CHARSET=utf8;
#
# Structure for table "bh_dispatch_invisible"
#
DROP TABLE IF EXISTS `bh_dispatch_invisible`;
CREATE TABLE `bh_dispatch_invisible` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`room_id` int(10) unsigned DEFAULT NULL,
`department` char(13) NOT NULL DEFAULT '' COMMENT '部门',
`name` char(4) NOT NULL DEFAULT '' COMMENT '姓名',
`sex` tinyint(1) NOT NULL COMMENT '性别',
`bed_number` tinyint(1) DEFAULT NULL COMMENT '床号',
`edu` tinyint(1) NOT NULL DEFAULT '0' COMMENT '0|本科以下',
`entrancetime` char(10) NOT NULL DEFAULT '' COMMENT '入住时间',
`tel` char(13) NOT NULL DEFAULT '' COMMENT '电话',
`remark` varchar(255) NOT NULL DEFAULT '' COMMENT '备注',
PRIMARY KEY (`id`),
KEY `room_id_key` (`room_id`),
KEY `name_key` (`name`),
KEY `tel_key` (`tel`)
) ENGINE=InnoDB AUTO_INCREMENT=446 DEFAULT CHARSET=utf8;
#
# Structure for table "bh_dispatch_move"
#
DROP TABLE IF EXISTS `bh_dispatch_move`;
CREATE TABLE `bh_dispatch_move` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`old_room` varchar(10) NOT NULL DEFAULT '' COMMENT '原房间',
`department` char(13) NOT NULL DEFAULT '' COMMENT '部门',
`name` char(4) NOT NULL DEFAULT '' COMMENT '姓名',
`sex` tinyint(1) NOT NULL COMMENT '性别',
`bed_number` tinyint(1) DEFAULT NULL COMMENT '床号',
`edu` tinyint(1) NOT NULL DEFAULT '0' COMMENT '0|本科以下',
`entrancetime` char(10) NOT NULL DEFAULT '' COMMENT '入住时间',
`tel` char(13) NOT NULL DEFAULT '' COMMENT '电话',
`remark` varchar(255) NOT NULL DEFAULT '' COMMENT '备注',
`move_time` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '退房时间',
`new_room` varchar(10) NOT NULL DEFAULT '' COMMENT '新房间',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
#
# Structure for table "bh_dispatch_quit"
#
DROP TABLE IF EXISTS `bh_dispatch_quit`;
CREATE TABLE `bh_dispatch_quit` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`room` char(10) NOT NULL DEFAULT '' COMMENT '房间全名，不关联room表',
`department` char(13) NOT NULL DEFAULT '' COMMENT '部门',
`name` char(4) NOT NULL DEFAULT '' COMMENT '姓名',
`sex` tinyint(1) NOT NULL COMMENT '性别',
`bed_number` tinyint(1) DEFAULT NULL COMMENT '床号',
`edu` tinyint(1) NOT NULL DEFAULT '0' COMMENT '0|本科以下',
`entrancetime` char(10) NOT NULL DEFAULT '' COMMENT '入住时间',
`tel` char(13) NOT NULL DEFAULT '' COMMENT '电话',
`remark` varchar(255) NOT NULL DEFAULT '' COMMENT '备注',
`quit_time` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '退房时间',
PRIMARY KEY (`id`),
KEY `name_key` (`name`)
) ENGINE=InnoDB AUTO_INCREMENT=81 DEFAULT CHARSET=utf8;
#
# Structure for table "bh_node"
#
DROP TABLE IF EXISTS `bh_node`;
CREATE TABLE `bh_node` (
`id` smallint(5) unsigned NOT NULL AUTO_INCREMENT,
`title` char(10) DEFAULT NULL,
`controller` char(30) NOT NULL,
`action` char(30) NOT NULL,
`status` tinyint(1) unsigned NOT NULL,
`remark` varchar(255) DEFAULT NULL,
`pid` smallint(5) unsigned NOT NULL,
`level` tinyint(1) unsigned NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=107 DEFAULT CHARSET=utf8;
#
# Structure for table "bh_rent"
#
DROP TABLE IF EXISTS `bh_rent`;
CREATE TABLE `bh_rent` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`room_id` int(10) unsigned DEFAULT NULL COMMENT '外键',
`department` char(13) NOT NULL COMMENT '部门',
`name` char(4) NOT NULL COMMENT '姓名',
`sex` tinyint(1) NOT NULL COMMENT '性别 1|男 2|女',
`contract_s` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '合同起始日期',
`contract_e` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '合同终止日期',
`rent_s` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '租赁开始日期',
`rent_e` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '租赁结束日期',
`tel` char(13) NOT NULL COMMENT '电话',
`remark` varchar(255) NOT NULL DEFAULT '' COMMENT '备注',
`identify` char(18) DEFAULT NULL COMMENT '身份证号',
PRIMARY KEY (`id`),
KEY `room_id_key` (`room_id`),
KEY `name_key` (`name`),
KEY `tel_key` (`tel`),
KEY `rent_s` (`rent_s`),
KEY `rent_e` (`rent_e`)
) ENGINE=InnoDB AUTO_INCREMENT=594 DEFAULT CHARSET=utf8;
#
# Structure for table "bh_rent_charge"
#
DROP TABLE IF EXISTS `bh_rent_charge`;
CREATE TABLE `bh_rent_charge` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`rent_id` int(11) unsigned NOT NULL COMMENT '租赁户id',
`charge_type` tinyint(1) unsigned NOT NULL DEFAULT '0' COMMENT '1为押金，2为租金，3为物业费，4为水费，5为电费，6为取暖费，7为燃气费，8为电梯费',
`money` decimal(8,2) NOT NULL DEFAULT '0.00' COMMENT '金额',
`charge_remark` varchar(255) NOT NULL DEFAULT '' COMMENT '费用说明（备注）',
`quarter` tinyint(2) unsigned NOT NULL DEFAULT '0' COMMENT '季度数，1-12',
`charge_time` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '缴费时间',
PRIMARY KEY (`id`),
KEY `rent_id` (`rent_id`)
) ENGINE=InnoDB AUTO_INCREMENT=22406 DEFAULT CHARSET=utf8;
#
# Structure for table "bh_rent_charge_quit"
#
DROP TABLE IF EXISTS `bh_rent_charge_quit`;
CREATE TABLE `bh_rent_charge_quit` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`rent_quit_id` int(11) unsigned NOT NULL COMMENT '已退房租赁户id',
`charge_type` tinyint(1) unsigned NOT NULL DEFAULT '0' COMMENT '1为押金，2为租金，3为物业费，4为水费，5为电费，6为取暖费，7为燃气费，8为电梯费',
`money` decimal(8,2) NOT NULL DEFAULT '0.00' COMMENT '金额',
`charge_remark` varchar(255) NOT NULL DEFAULT '' COMMENT '费用说明（备注）',
`quarter` tinyint(2) unsigned NOT NULL DEFAULT '0' COMMENT '季度数，1-12',
`charge_time` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '缴费时间',
PRIMARY KEY (`id`),
KEY `rent_quit_id_key` (`rent_quit_id`)
) ENGINE=InnoDB AUTO_INCREMENT=20783 DEFAULT CHARSET=utf8;
#
# Structure for table "bh_rent_quit"
#
DROP TABLE IF EXISTS `bh_rent_quit`;
CREATE TABLE `bh_rent_quit` (
`id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`room` char(13) NOT NULL COMMENT '房间全名，不关联room表',
`department` char(13) NOT NULL COMMENT '部门',
`name` char(4) NOT NULL COMMENT '姓名',
`sex` tinyint(1) NOT NULL COMMENT '性别',
`contract_s` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '合同起始日期',
`contract_e` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '合同终止日期',
`rent_s` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '租赁开始日期',
`rent_e` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '租赁结束日期',
`tel` char(13) NOT NULL COMMENT '电话',
`remark` varchar(255) NOT NULL DEFAULT '' COMMENT '备注',
`quit_time` int(10) NOT NULL COMMENT '退租时间',
`identify` char(18) NOT NULL DEFAULT '',
PRIMARY KEY (`id`),
KEY `name_key` (`name`)
) ENGINE=InnoDB AUTO_INCREMENT=63 DEFAULT CHARSET=utf8;
#
# Structure for table "bh_rent_renew"
#
DROP TABLE IF EXISTS `bh_rent_renew`;
CREATE TABLE `bh_rent_renew` (
`renew_id` int(10) unsigned NOT NULL AUTO_INCREMENT COMMENT '续签主键',
`rid` int(11) unsigned NOT NULL,
`department` char(13) NOT NULL COMMENT '部门',
`name` char(4) NOT NULL COMMENT '姓名',
`renew_time` int(11) DEFAULT NULL,
`contract_s` int(10) NOT NULL COMMENT '合同起始日期',
`contract_e` int(10) NOT NULL COMMENT '合同终止日期',
`rent_s` int(10) DEFAULT NULL COMMENT '租赁开始日期',
`rent_e` int(10) NOT NULL COMMENT '租赁结束日期',
`tel` char(13) NOT NULL COMMENT '电话',
`room` char(13) NOT NULL COMMENT '房间号',
`contract_s_new` int(10) NOT NULL COMMENT '合同起始日期-新',
`contract_e_new` int(10) NOT NULL COMMENT '合同终止日期-新',
`rent_e_new` int(10) NOT NULL COMMENT '租赁结束日期-新',
PRIMARY KEY (`renew_id`),
KEY `name` (`name`)
) ENGINE=InnoDB AUTO_INCREMENT=376 DEFAULT CHARSET=utf8;
#
# Structure for table "bh_repair"
#
DROP TABLE IF EXISTS `bh_repair`;
CREATE TABLE `bh_repair` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`input_man` varchar(20) DEFAULT NULL COMMENT '录入人',
`name` varchar(20) DEFAULT NULL COMMENT '报修人',
`location` varchar(255) DEFAULT NULL COMMENT '位置',
`content` varchar(255) DEFAULT NULL COMMENT '报修内容',
`created_at` varchar(20) DEFAULT NULL COMMENT '报修时间',
`is_reviewed` tinyint(3) DEFAULT '0' COMMENT '是否审核',
`reviewer` varchar(20) DEFAULT NULL COMMENT '审核人',
`is_passed` tinyint(3) DEFAULT '0' COMMENT '是否通过审核',
`review_remark` varchar(255) DEFAULT NULL COMMENT '审核意见',
`reviewed_at` varchar(20) DEFAULT NULL COMMENT '审核时间',
`is_printed` tinyint(3) DEFAULT '0' COMMENT '是否已打印',
`printed_at` varchar(20) DEFAULT NULL COMMENT '第一次打印时间',
`is_finished` tinyint(3) DEFAULT '0' COMMENT '是否完工',
`finished_at` varchar(20) DEFAULT NULL COMMENT '完工时间',
`finish_remark` varchar(255) DEFAULT NULL COMMENT '完工说明',
`comment` varchar(255) DEFAULT NULL COMMENT '完工评价',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=14 DEFAULT CHARSET=utf8;
#
# Structure for table "bh_role"
#
DROP TABLE IF EXISTS `bh_role`;
CREATE TABLE `bh_role` (
`rid` tinyint(3) unsigned NOT NULL AUTO_INCREMENT,
`role_name` char(10) NOT NULL,
`remark` char(100) NOT NULL,
`issystem` tinyint(3) unsigned NOT NULL DEFAULT '0',
PRIMARY KEY (`rid`)
) ENGINE=InnoDB AUTO_INCREMENT=3 DEFAULT CHARSET=utf8;
#
# Structure for table "bh_single_sd_base"
#
DROP TABLE IF EXISTS `bh_single_sd_base`;
CREATE TABLE `bh_single_sd_base` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`room_id` int(10) unsigned DEFAULT NULL COMMENT '房间id',
`water_base` int(10) unsigned DEFAULT NULL COMMENT '水表底数',
`electric_base` int(10) unsigned DEFAULT NULL COMMENT '电表底数',
`name` char(4) DEFAULT NULL COMMENT '抄表人',
`month` tinyint(2) unsigned DEFAULT NULL COMMENT '月度',
`year` smallint(4) unsigned DEFAULT NULL COMMENT '年度',
`remark` varchar(255) DEFAULT NULL COMMENT '备注',
`read_time` int(10) unsigned DEFAULT NULL COMMENT '抄表时间',
PRIMARY KEY (`id`),
KEY `room_id_key` (`room_id`),
KEY `month_key` (`month`),
KEY `year_key` (`year`),
KEY `read_time_key` (`read_time`)
) ENGINE=InnoDB AUTO_INCREMENT=1444 DEFAULT CHARSET=utf8 COMMENT='单身住户水电表底数表';
#
# Structure for table "bh_single_sd_charge"
#
DROP TABLE IF EXISTS `bh_single_sd_charge`;
CREATE TABLE `bh_single_sd_charge` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`room_id` int(10) unsigned DEFAULT NULL COMMENT '房间id',
`water` int(11) DEFAULT NULL,
`electric` int(11) DEFAULT NULL,
`water_money` decimal(10,2) DEFAULT NULL COMMENT '水费',
`electric_money` decimal(10,2) DEFAULT NULL COMMENT '电费',
`start_month` tinyint(2) unsigned DEFAULT NULL COMMENT '开始月度',
`end_month` tinyint(2) unsigned DEFAULT NULL COMMENT '结束月度',
`start_year` smallint(4) unsigned DEFAULT NULL COMMENT '开始年度',
`end_year` smallint(4) unsigned DEFAULT NULL COMMENT '结束年度',
`create_time` int(11) DEFAULT NULL COMMENT '生成时间',
`is_charged` tinyint(1) unsigned DEFAULT NULL COMMENT '是否缴费 0|没有 1|已缴费',
`charge_time` int(11) DEFAULT NULL COMMENT '缴费时间',
`remark` varchar(255) DEFAULT NULL COMMENT '备注',
PRIMARY KEY (`id`),
KEY `room_id_key` (`room_id`),
KEY `start_month_key` (`start_month`),
KEY `start_year_key` (`start_year`),
KEY `end_month_key` (`end_month`),
KEY `end_year_key` (`end_year`),
KEY `is_charged_key` (`is_charged`),
KEY `charge_time_key` (`charge_time`)
) ENGINE=InnoDB AUTO_INCREMENT=1471 DEFAULT CHARSET=utf8 COMMENT='单身住户水电费表';
#
# Structure for table "bh_worker"
#
DROP TABLE IF EXISTS `bh_worker`;
CREATE TABLE `bh_worker` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`room_id` int(10) unsigned DEFAULT NULL,
`department` char(13) NOT NULL DEFAULT '' COMMENT '部门',
`name` char(4) NOT NULL DEFAULT '' COMMENT '姓名',
`sex` tinyint(1) NOT NULL COMMENT '性别',
`bed_number` tinyint(1) DEFAULT NULL COMMENT '床号',
`edu` tinyint(1) NOT NULL DEFAULT '0' COMMENT '0|本科以下',
`entrancetime` char(10) NOT NULL DEFAULT '' COMMENT '入住时间',
`tel` char(13) NOT NULL DEFAULT '' COMMENT '电话',
`remark` varchar(255) NOT NULL DEFAULT '' COMMENT '备注',
`identify` char(18) NOT NULL DEFAULT '',
PRIMARY KEY (`id`),
KEY `room_id_key` (`room_id`),
KEY `name_key` (`name`),
KEY `tel_key` (`tel`)
) ENGINE=InnoDB AUTO_INCREMENT=277 DEFAULT CHARSET=utf8;
#
# Structure for table "bh_worker_copy"
#
DROP TABLE IF EXISTS `bh_worker_copy`;
CREATE TABLE `bh_worker_copy` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`room` char(10) DEFAULT NULL,
`department` char(13) NOT NULL DEFAULT '' COMMENT '部门',
`name` char(4) NOT NULL DEFAULT '' COMMENT '姓名',
`sex` tinyint(1) NOT NULL COMMENT '性别',
`bed_number` tinyint(1) DEFAULT NULL COMMENT '床号',
`edu` tinyint(1) NOT NULL DEFAULT '0' COMMENT '0|本科以下',
`entrancetime` char(10) NOT NULL DEFAULT '' COMMENT '入住时间',
`tel` char(13) NOT NULL DEFAULT '' COMMENT '电话',
`remark` varchar(255) NOT NULL DEFAULT '' COMMENT '备注',
PRIMARY KEY (`id`),
KEY `room_id_key` (`room`),
KEY `name_key` (`name`),
KEY `tel_key` (`tel`)
) ENGINE=InnoDB AUTO_INCREMENT=168 DEFAULT CHARSET=utf8;
#
# Structure for table "bh_worker_move"
#
DROP TABLE IF EXISTS `bh_worker_move`;
CREATE TABLE `bh_worker_move` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`old_room` varchar(10) NOT NULL DEFAULT '' COMMENT '原房间',
`department` char(13) NOT NULL DEFAULT '' COMMENT '部门',
`name` char(4) NOT NULL DEFAULT '' COMMENT '姓名',
`sex` tinyint(1) NOT NULL COMMENT '性别',
`bed_number` tinyint(1) DEFAULT NULL COMMENT '床号',
`edu` tinyint(1) NOT NULL DEFAULT '0' COMMENT '0|本科以下',
`entrancetime` char(10) NOT NULL DEFAULT '' COMMENT '入住时间',
`tel` char(13) NOT NULL DEFAULT '' COMMENT '电话',
`remark` varchar(255) NOT NULL DEFAULT '' COMMENT '备注',
`move_time` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '退房时间',
`new_room` varchar(10) NOT NULL DEFAULT '' COMMENT '新房间',
PRIMARY KEY (`id`),
KEY `name_key` (`name`)
) ENGINE=InnoDB AUTO_INCREMENT=61 DEFAULT CHARSET=utf8;
#
# Structure for table "bh_worker_quit"
#
DROP TABLE IF EXISTS `bh_worker_quit`;
CREATE TABLE `bh_worker_quit` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`room` char(10) NOT NULL DEFAULT '' COMMENT '房间全名，不关联room表',
`department` char(13) NOT NULL DEFAULT '' COMMENT '部门',
`name` char(4) NOT NULL DEFAULT '' COMMENT '姓名',
`sex` tinyint(1) NOT NULL COMMENT '性别',
`bed_number` tinyint(1) DEFAULT NULL COMMENT '床号',
`edu` tinyint(1) NOT NULL DEFAULT '0' COMMENT '0|本科以下',
`entrancetime` char(10) NOT NULL DEFAULT '' COMMENT '入住时间',
`tel` char(13) NOT NULL DEFAULT '' COMMENT '电话',
`remark` varchar(255) NOT NULL DEFAULT '' COMMENT '备注',
`quit_time` int(10) unsigned NOT NULL DEFAULT '0' COMMENT '退房时间',
PRIMARY KEY (`id`),
KEY `name_key` (`name`)
) ENGINE=InnoDB AUTO_INCREMENT=95 DEFAULT CHARSET=utf8;
#
# Structure for table "bh_worker_rent_charge"
#
DROP TABLE IF EXISTS `bh_worker_rent_charge`;
CREATE TABLE `bh_worker_rent_charge` (
`charge_id` int(10) unsigned NOT NULL AUTO_INCREMENT COMMENT '主键',
`id` int(10) unsigned NOT NULL COMMENT '人员id',
`money` decimal(7,2) NOT NULL COMMENT '金额',
`worker_rent_remark` varchar(255) NOT NULL COMMENT '备注',
`charge_time` int(11) NOT NULL COMMENT '缴费时间',
`charge_type` tinyint(1) unsigned DEFAULT NULL COMMENT '1|租金 2|床位费',
PRIMARY KEY (`charge_id`),
KEY `id` (`id`,`charge_time`)
) ENGINE=InnoDB AUTO_INCREMENT=962 DEFAULT CHARSET=utf8;
#
# Structure for table "bh_worker_sd_charge"
#
DROP TABLE IF EXISTS `bh_worker_sd_charge`;
CREATE TABLE `bh_worker_sd_charge` (
`sd_id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`name` char(4) NOT NULL COMMENT '缴费人姓名',
`charge_type` tinyint(1) unsigned DEFAULT NULL COMMENT '1|水费 2|电费',
`room_id` int(10) unsigned NOT NULL,
`money` decimal(6,2) NOT NULL,
`remark` varchar(255) NOT NULL,
`charge_time` int(11) unsigned NOT NULL,
PRIMARY KEY (`sd_id`),
KEY `room_id` (`room_id`),
KEY `name` (`name`),
KEY `type` (`charge_type`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
|
-- phpMyAdmin SQL Dump
-- version 4.5.4.1deb2ubuntu2
-- http://www.phpmyadmin.net
--
-- Host: localhost
-- Generation Time: Nov 27, 2017 at 03:41 PM
-- Server version: 5.7.20-0ubuntu0.16.04.1
-- PHP Version: 7.0.22-0ubuntu0.16.04.1
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `Shop`
--
-- --------------------------------------------------------
--
-- Table structure for table `account`
--
CREATE TABLE `account` (
`username` varchar(100) COLLATE utf8_unicode_ci NOT NULL DEFAULT 'admin',
`password` varchar(255) COLLATE utf8_unicode_ci NOT NULL DEFAULT 'admin',
`displayname` varchar(100) COLLATE utf8_unicode_ci NOT NULL,
`role` int(11) NOT NULL DEFAULT '0'
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Dumping data for table `account`
--
INSERT INTO `account` (`username`, `password`, `displayname`, `role`) VALUES
('admin', '21232f297a57a5a743894a0e4a801fc3', 'admin', 1);
-- --------------------------------------------------------
--
-- Table structure for table `bill`
--
CREATE TABLE `bill` (
`bill_id` int(11) NOT NULL,
`id_customer` int(11) NOT NULL,
`method` int(1) NOT NULL COMMENT 'Payment methods',
`checkin` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT 'Date checkin order ',
`checkout` datetime DEFAULT NULL COMMENT 'Date chekout order',
`total_price` double NOT NULL,
`status` int(11) NOT NULL DEFAULT '0' COMMENT 'Payment status'
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `bill_info`
--
CREATE TABLE `bill_info` (
`bill_info_id` int(11) NOT NULL,
`id_product` int(11) NOT NULL,
`id_bill` int(11) NOT NULL,
`amount` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `category`
--
CREATE TABLE `category` (
`category_id` int(11) NOT NULL,
`category_name` varchar(100) COLLATE utf8_unicode_ci NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Dumping data for table `category`
--
INSERT INTO `category` (`category_id`, `category_name`) VALUES
(1, 'Samsung'),
(2, 'Apple'),
(4, 'Asus'),
(7, 'Oppo'),
(8, 'Sony'),
(9, 'Huawei');
-- --------------------------------------------------------
--
-- Table structure for table `customer`
--
CREATE TABLE `customer` (
`customer_id` int(11) NOT NULL,
`customer_name` varchar(100) COLLATE utf8_unicode_ci NOT NULL,
`customer_address` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`customer_phonenumber` varchar(13) COLLATE utf8_unicode_ci NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `product`
--
CREATE TABLE `product` (
`product_id` int(11) NOT NULL,
`product_name` varchar(100) COLLATE utf8_unicode_ci NOT NULL,
`product_price` double NOT NULL,
`product_description` longtext COLLATE utf8_unicode_ci NOT NULL,
`product_image` varchar(200) COLLATE utf8_unicode_ci NOT NULL,
`amount` int(11) NOT NULL,
`category_id` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Indexes for dumped tables
--
--
-- Indexes for table `account`
--
ALTER TABLE `account`
ADD PRIMARY KEY (`username`);
--
-- Indexes for table `bill`
--
ALTER TABLE `bill`
ADD PRIMARY KEY (`bill_id`),
ADD KEY `fk_idCustomer` (`id_customer`);
--
-- Indexes for table `bill_info`
--
ALTER TABLE `bill_info`
ADD PRIMARY KEY (`bill_info_id`),
ADD KEY `fk_idBill` (`id_bill`) USING BTREE,
ADD KEY `fk_idProduct` (`id_product`) USING BTREE;
--
-- Indexes for table `category`
--
ALTER TABLE `category`
ADD PRIMARY KEY (`category_id`);
--
-- Indexes for table `customer`
--
ALTER TABLE `customer`
ADD PRIMARY KEY (`customer_id`);
--
-- Indexes for table `product`
--
ALTER TABLE `product`
ADD PRIMARY KEY (`product_id`),
ADD KEY `category_id` (`category_id`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `bill`
--
ALTER TABLE `bill`
MODIFY `bill_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=10;
--
-- AUTO_INCREMENT for table `bill_info`
--
ALTER TABLE `bill_info`
MODIFY `bill_info_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- AUTO_INCREMENT for table `category`
--
ALTER TABLE `category`
MODIFY `category_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=10;
--
-- AUTO_INCREMENT for table `customer`
--
ALTER TABLE `customer`
MODIFY `customer_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=13;
--
-- AUTO_INCREMENT for table `product`
--
ALTER TABLE `product`
MODIFY `product_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=17;
--
-- Constraints for dumped tables
--
--
-- Constraints for table `bill`
--
ALTER TABLE `bill`
ADD CONSTRAINT `bill_ibfk_2` FOREIGN KEY (`id_customer`) REFERENCES `customer` (`customer_id`) ON DELETE NO ACTION ON UPDATE NO ACTION;
--
-- Constraints for table `bill_info`
--
ALTER TABLE `bill_info`
ADD CONSTRAINT `bill_info_ibfk_1` FOREIGN KEY (`id_bill`) REFERENCES `bill` (`bill_id`) ON DELETE NO ACTION ON UPDATE NO ACTION,
ADD CONSTRAINT `bill_info_ibfk_2` FOREIGN KEY (`id_product`) REFERENCES `product` (`product_id`) ON DELETE NO ACTION ON UPDATE NO ACTION;
--
-- Constraints for table `product`
--
ALTER TABLE `product`
ADD CONSTRAINT `product_ibfk_1` FOREIGN KEY (`category_id`) REFERENCES `category` (`category_id`) ON DELETE NO ACTION ON UPDATE NO ACTION;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
execute dbo.createDimTable
select * from DimDate2 |
set echo on
shutdown immediate;
startup restrict;
ALTER DATABASE CHARACTER SET INTERNAL_USE WE8ISO8859P15;
shutdown immediate;
startup;
@/provision/MAIN.sql
|
--
--
-- Shipyard
--
--
--
-- Create shipyard schema
--
CREATE SCHEMA shipyard AUTHORIZATION shipyard;
-- Switch to shipyard schema
SET search_path TO shipyard;
SET role shipyard;
--
-- Create Types
--
CREATE TYPE funding_type AS ENUM ('ITI', 'Departmental');
CREATE TYPE av_port_direction AS ENUM ('Incoming', 'Outgoing', 'Bi-Directional');
CREATE TYPE av_port_type AS ENUM ('Audio', 'Video', 'Audio/Video');
CREATE TYPE av_system_designation AS ENUM ('production', 'stage', 'development', 'testing');
CREATE TYPE control_panel_ui_type AS ENUM ('blueberry', 'cherry', 'dragonfruit');
--
-- Create Tables
--
-- Rooms
CREATE TABLE campuses (
campus_abbreviation text PRIMARY KEY,
campus_name text
);
CREATE TABLE buildings (
building_id integer PRIMARY KEY GENERATED ALWAYS AS IDENTITY,
building_name text,
building_abbreviation text,
campus_abbreviation text REFERENCES campuses (campus_abbreviation) ON DELETE CASCADE
);
CREATE TABLE room_types (
room_type text PRIMARY KEY,
description text
);
CREATE TABLE rooms (
room_id integer PRIMARY KEY GENERATED ALWAYS AS IDENTITY,
building_id integer REFERENCES buildings (building_id) ON DELETE CASCADE,
room_number text,
room_type text REFERENCES room_types (room_type) ON DELETE RESTRICT,
published_description text,
notes text
);
CREATE TABLE room_photos (
room_photo_id integer PRIMARY KEY GENERATED ALWAYS AS IDENTITY,
room_id integer REFERENCES rooms (room_id) ON DELETE CASCADE,
url text,
owned_by_shipyard boolean
);
CREATE TABLE room_tags (
room_id integer REFERENCES rooms (room_id) ON DELETE CASCADE,
tag_key text,
tag_value text,
PRIMARY KEY(room_id, tag_key)
);
-- Device Models
CREATE TABLE device_drivers (
driver_name text PRIMARY KEY,
description text
);
CREATE TABLE device_models (
model_id integer PRIMARY KEY GENERATED ALWAYS AS IDENTITY,
manufacturer text,
model_number text,
description text,
driver_name text REFERENCES device_drivers (driver_name) ON DELETE RESTRICT,
dynamic_ports boolean,
automated_serial_number boolean
);
CREATE TABLE device_classes (
class_id integer PRIMARY KEY GENERATED ALWAYS AS IDENTITY,
description text
);
CREATE TABLE device_model_classes (
model_id integer REFERENCES device_models (model_id) ON DELETE CASCADE,
class_id integer REFERENCES device_classes (class_id) ON DELETE CASCADE,
PRIMARY KEY(model_id, class_id)
);
CREATE TABLE model_ports (
model_id integer REFERENCES device_models (model_id) ON DELETE CASCADE,
port_name text,
direction av_port_direction,
port_type av_port_type,
PRIMARY KEY(model_id, port_name)
);
-- Devices
CREATE TABLE devices (
device_id integer PRIMARY KEY GENERATED ALWAYS AS IDENTITY,
room_id integer REFERENCES rooms (room_id) ON DELETE SET NULL,
device_name text,
address text,
model_id integer REFERENCES device_models (model_id) ON DELETE SET NULL,
install_date timestamptz,
warranty_date timestamptz,
location text,
serial_number text,
icon text,
funding_type funding_type,
proxy_base_url text,
notes text
);
CREATE TABLE device_ports (
device_id integer REFERENCES devices (device_id) ON DELETE CASCADE,
port_name text,
direction av_port_direction,
port_type av_port_type,
PRIMARY KEY(device_id, port_name)
);
CREATE TABLE device_port_endpoints (
device_id integer,
port_name text,
connected_device_id integer,
connected_port_name text,
PRIMARY KEY(device_id, port_name, connected_device_id, connected_port_name),
FOREIGN KEY (device_id, port_name) REFERENCES device_ports (device_id, port_name),
FOREIGN KEY (connected_device_id, connected_port_name) REFERENCES device_ports (device_id, port_name)
);
CREATE TABLE device_tags (
device_id integer REFERENCES devices (device_id) ON DELETE CASCADE,
tag_key text,
tag_value text,
PRIMARY KEY(device_id, tag_key)
);
CREATE TABLE device_presets (
device_id integer REFERENCES devices (device_id) ON DELETE CASCADE,
preset_name text,
preset_value text,
PRIMARY KEY(device_id, preset_name)
);
-- Systems
CREATE TABLE av_systems (
system_id integer PRIMARY KEY GENERATED ALWAYS AS IDENTITY,
system_name text,
designation av_system_designation,
install_date timestamptz,
check_date timestamptz
);
CREATE TABLE av_system_devices (
system_id integer REFERENCES av_systems (system_id) ON DELETE CASCADE,
device_id integer REFERENCES devices (device_id) ON DELETE CASCADE,
PRIMARY KEY(system_id, device_id)
);
CREATE TABLE av_system_rooms (
system_id integer REFERENCES av_systems (system_id) ON DELETE CASCADE,
room_id integer REFERENCES rooms (room_id) ON DELETE CASCADE,
PRIMARY KEY(system_id, room_id)
);
CREATE TABLE system_control_docs (
system_id integer PRIMARY KEY REFERENCES av_systems (system_id) ON DELETE CASCADE,
system_control_doc jsonb
);
CREATE TABLE system_compiled_ui_configs (
system_id integer PRIMARY KEY REFERENCES av_systems (system_id) ON DELETE CASCADE,
system_compiled_ui_config jsonb
);
-- UI Control Groups
CREATE TABLE ui_control_groups (
control_group_id integer PRIMARY KEY GENERATED ALWAYS AS IDENTITY,
system_id integer REFERENCES av_systems (system_id) ON DELETE CASCADE,
control_group_name text,
master_volume_device_id integer REFERENCES devices (device_id) ON DELETE SET NULL,
master_volume_device_block text
);
CREATE TABLE ui_control_panels (
device_id integer PRIMARY KEY REFERENCES devices (device_id) ON DELETE CASCADE,
control_group_id integer REFERENCES ui_control_groups (control_group_id) ON DELETE CASCADE,
ui_type control_panel_ui_type
);
CREATE TABLE ui_microphone_groups (
microphone_group_id integer PRIMARY KEY GENERATED ALWAYS AS IDENTITY,
microphone_group_name text,
control_group_id integer REFERENCES ui_control_groups (control_group_id) ON DELETE CASCADE
);
CREATE TABLE ui_microphones (
device_id integer REFERENCES devices (device_id) ON DELETE CASCADE,
microphone_group_id integer REFERENCES ui_microphone_groups (microphone_group_id) ON DELETE CASCADE,
PRIMARY KEY(device_id, microphone_group_id)
);
CREATE TABLE ui_inputs (
device_id integer REFERENCES devices (device_id) ON DELETE CASCADE,
control_group_id integer REFERENCES ui_control_groups (control_group_id) ON DELETE CASCADE,
PRIMARY KEY(device_id, control_group_id)
);
CREATE TABLE ui_cameras (
device_id integer REFERENCES devices (device_id) ON DELETE CASCADE,
control_group_id integer REFERENCES ui_control_groups (control_group_id) ON DELETE CASCADE,
PRIMARY KEY(device_id, control_group_id)
);
CREATE TABLE ui_displays (
device_id integer REFERENCES devices (device_id) ON DELETE CASCADE,
control_group_id integer REFERENCES ui_control_groups (control_group_id) ON DELETE CASCADE,
default_input text,
PRIMARY KEY(device_id, control_group_id)
);
-- Config
CREATE TABLE config (
config_id text PRIMARY KEY,
config_value jsonb
);
-- Exit schema
SET search_path TO public;
RESET ROLE;
|
create database liisincart;
use liisincart;
create table usuario(
id_usuario int auto_increment,
Nombre varchar(100),
correo varchar(200),
pass varchar(100),
telefono varchar(20),
rol varchar(20),
estado varchar(20),
primary key(id_usuario)
);
insert into usuario values(null, 'liisin', 'control@liisin.com','12345678', '', 'admin', 'activo');
create table producto(
id_producto int auto_increment,
Descripcion varchar(1000),
Detalles varchar(1000),
precio decimal,
tipo varchar(20),
state varchar(200),
video varchar(2000),
primary key(id_producto)
);
create table proveedor(
id_proveedor int auto_increment,
Nombre varchar(100),
Mail varchar(100),
primary key(id_proveedor)
);
create table calificacion(
id_calificacion int auto_increment,
nota decimal,
comentario varchar(3000),
id_producto int,
id_usuario int,
foreign key(id_producto) references producto(id_producto),
foreign key(id_usuario) references usuario(id_usuario),
primary key(id_calificacion)
);
create table imagen(
id_imagen int auto_increment,
ruta varchar(500),
id_producto int,
foreign key(id_producto) references producto(id_producto),
primary key(id_imagen)
);
create table prod_proveedor(
id_prod_proveedor int auto_increment,
id_producto int,
id_proveedor int,
foreign key(id_producto) references producto(id_producto),
foreign key(id_proveedor) references proveedor(id_proveedor),
primary key(id_prod_proveedor)
);
create table State(
id_state int auto_increment,
nombre varchar(200),
primary key (id_state)
);
create table Mail(
id_mail int,
mail varchar(100),
pass varchar(200),
primary key(id_mail)
);
|
/*
结算中心-应退税，未退税
*/
delimiter $
drop procedure if exists Proc_Settlements_LastTaxRebateReceivable $
create procedure Proc_Settlements_LastTaxRebateReceivable(sInvoiceNO varchar(255))
begin
declare fTaxRebateReceivable decimal(18,2);
set fTaxRebateReceivable=(Select ifnull(TotalExportRebates,0) From Shipments Where InvoiceNo=sInvoiceNO Limit 0,1);
Update Settlements set TaxRebateReceivable=fTaxRebateReceivable,TaxRemain=(fTaxRebateReceivable-ifnull(TaxReceived,0))
Where InvoiceNO=sInvoiceNO;
end $
delimiter ; |
Create Procedure sp_Modify_ProductCategoryGroupAbstract(@GroupId Int, @Active Int)
As
Update ProductCategoryGroupAbstract Set Active = @Active Where GroupId = @GroupId
|
# 1. 테이블 생성
CREATE TABLE `review` (
`id` int NOT NULL AUTO_INCREMENT primary key,
`store` varchar(8) NOT NULL,
`menu` varchar(8) NOT NULL,
`point` decimal(2,1) DEFAULT 3.5,
`review` varchar(256),
`createdAt` timestamp DEFAULT CURRENT_TIMESTAMP,
`updatedAt` timestamp DEFAULT CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4
# 2. 컬럼 추가
ALTER TABLE `review` ADD COLUMN `userName` varchar(32) NOT NULL AFTER `menu`;
# 3. 컬럽 타입 변경
ALTER TABLE `review` MODIFY COLUMN `menu` varchar(32) NOT NULL;
ALTER TABLE `review` CHANGE COLUMN `store` `storeName` varchar(32) NOT NULL; |
-- phpMyAdmin SQL Dump
-- version 4.0.4
-- http://www.phpmyadmin.net
--
-- Host: localhost
-- Generation Time: Apr 11, 2015 at 02:19 PM
-- Server version: 5.6.12-log
-- PHP Version: 5.4.16
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8 */;
--
-- Database: `socialmessaging`
--
CREATE DATABASE IF NOT EXISTS `socialmessaging` DEFAULT CHARACTER SET latin1 COLLATE latin1_swedish_ci;
USE `socialmessaging`;
-- --------------------------------------------------------
--
-- Table structure for table `friends`
--
CREATE TABLE IF NOT EXISTS `friends` (
`user1` int(11) NOT NULL DEFAULT '0',
`user2` int(11) NOT NULL DEFAULT '0',
PRIMARY KEY (`user1`,`user2`),
KEY `user2` (`user2`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Table structure for table `members`
--
CREATE TABLE IF NOT EXISTS `members` (
`username` varchar(50) NOT NULL,
`password` varchar(200) NOT NULL,
`id` int(11) NOT NULL AUTO_INCREMENT,
PRIMARY KEY (`id`),
UNIQUE KEY `username` (`username`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=22 ;
-- --------------------------------------------------------
--
-- Table structure for table `posts`
--
CREATE TABLE IF NOT EXISTS `posts` (
`user` int(11) NOT NULL,
`description` varchar(250) NOT NULL,
`time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (`user`,`description`),
KEY `user` (`user`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Table structure for table `requests`
--
CREATE TABLE IF NOT EXISTS `requests` (
`requestedBy` int(11) NOT NULL,
`requestedTo` int(11) NOT NULL,
`status` varchar(15) NOT NULL,
`timestamp` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (`requestedBy`,`requestedTo`),
KEY `requestedBy` (`requestedBy`,`requestedTo`),
KEY `requestedTo` (`requestedTo`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Constraints for dumped tables
--
--
-- Constraints for table `friends`
--
ALTER TABLE `friends`
ADD CONSTRAINT `friends_ibfk_2` FOREIGN KEY (`user2`) REFERENCES `members` (`id`) ON DELETE CASCADE ON UPDATE CASCADE,
ADD CONSTRAINT `friends_ibfk_1` FOREIGN KEY (`user1`) REFERENCES `members` (`id`) ON DELETE CASCADE ON UPDATE CASCADE;
--
-- Constraints for table `posts`
--
ALTER TABLE `posts`
ADD CONSTRAINT `posts_ibfk_1` FOREIGN KEY (`user`) REFERENCES `members` (`id`) ON DELETE CASCADE ON UPDATE CASCADE;
--
-- Constraints for table `requests`
--
ALTER TABLE `requests`
ADD CONSTRAINT `requests_ibfk_1` FOREIGN KEY (`requestedBy`) REFERENCES `members` (`id`) ON DELETE CASCADE ON UPDATE CASCADE,
ADD CONSTRAINT `requests_ibfk_2` FOREIGN KEY (`requestedTo`) REFERENCES `members` (`id`) ON DELETE CASCADE ON UPDATE CASCADE;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
select aname from author natural join writes natural join book group by aname having count(distinct title)>1;
select title from book natural join writes natural join author group by title having count(distinct aname)=1;
select anme from author natural join writes natural join author group by aname having max(count(distinct title));
select pname from publisher natural join book group by category having max(count(category));
|
CREATE Procedure sp_get_docbatchinfo (@Batch_Code Int)
As
Select Batch_Products.PKD, Batch_Products.Expiry,
Case IsNull(Batch_Products.BatchReference, 0)
When 0 Then
Batch_Products.PTS
Else
(Select PTS From Batch_Products a Where a.Batch_Code = Batch_Products.BatchReference)
End,
Case IsNull(Batch_Products.BatchReference, 0)
When 0 Then
Batch_Products.PTR
Else
(Select PTR From Batch_Products a Where a.Batch_Code = Batch_Products.BatchReference)
End,
Case IsNull(Batch_Products.BatchReference, 0)
When 0 Then
Batch_Products.ECP
Else
(Select ECP From Batch_Products a Where a.Batch_Code = Batch_Products.BatchReference)
End,
Case IsNull(Batch_Products.BatchReference, 0)
When 0 Then
Batch_Products.Company_Price
Else
(Select Company_Price From Batch_Products a Where a.Batch_Code = Batch_Products.BatchReference)
End,
Case IsNull(Batch_Products.BatchReference, 0)
When 0 Then
Batch_Products.GRNApplicableOn
Else
(Select GRNApplicableOn From Batch_Products a Where a.Batch_Code = Batch_Products.BatchReference)
End,
Case IsNull(Batch_Products.BatchReference, 0)
When 0 Then
Batch_Products.GRNPartOff
Else
(Select GRNPartOff From Batch_Products a Where a.Batch_Code = Batch_Products.BatchReference)
End
From Batch_Products
Where Batch_Products.Batch_Code = @Batch_Code
|
--1
select '[' || email || ']' as testing_email
from (
select rtrim(rawdata) as email
from qz_signups
)
order by email
/ |
--liquibase formatted sql
--changeset tsuki:16040707
CREATE TABLE `rock` (
`row_id` int(11) unsigned NOT NULL AUTO_INCREMENT COMMENT '自增id',
`role_id` int(11) unsigned NOT NULL DEFAULT '0' COMMENT '关联role的role_id',
`authority_sum` int(11) unsigned NOT NULL DEFAULT '0' COMMENT 'perms的值的和',
`data_type_id` int(11) unsigned NOT NULL DEFAULT '0' COMMENT '关联data_type的id',
PRIMARY KEY (`row_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='角色的权限值的和，如角色有RD权限，则和为2+8=10';
--changeset tsuki:1604070702
CREATE TABLE `zero` (
`row_id` int(11) unsigned NOT NULL AUTO_INCREMENT COMMENT '自增id',
`role_id` int(11) unsigned NOT NULL DEFAULT '0' COMMENT '关联role的role_id',
`authority_sum` int(11) unsigned NOT NULL DEFAULT '0' COMMENT 'perms的值的和',
`data_type_id` int(11) unsigned NOT NULL DEFAULT '0' COMMENT '关联data_type的id',
PRIMARY KEY (`row_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='角色的权限值的和，如角色有RD权限，则和为2+8=10';
--changeset tsuki:1604070703
CREATE TABLE `dioga` (
`row_id` int(11) unsigned NOT NULL AUTO_INCREMENT COMMENT '自增id',
`role_id` int(11) unsigned NOT NULL DEFAULT '0' COMMENT '关联role的role_id',
`authority_sum` int(11) unsigned NOT NULL DEFAULT '0' COMMENT 'perms的值的和',
`data_type_id` int(11) unsigned NOT NULL DEFAULT '0' COMMENT '关联data_type的id',
PRIMARY KEY (`row_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='角色的权限值的和，如角色有RD权限，则和为2+8=10';
--rollback DROP TABLE `dioga`;
--changeset tsuki:1604070704
CREATE TABLE mach (
`row_id` int(11) unsigned NOT NULL AUTO_INCREMENT COMMENT '自增id',
`role_id` int(11) unsigned NOT NULL DEFAULT '0' COMMENT '关联role的role_id',
`authority_sum` int(11) unsigned NOT NULL DEFAULT '0' COMMENT 'perms的值的和',
`data_type_id` int(11) unsigned NOT NULL DEFAULT '0' COMMENT '关联data_type的id',
PRIMARY KEY (`row_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='角色的权限值的和，如角色有RD权限，则和为2+8=10';
--rollback drop TABLE mach;
--changeset tsuki:1604070704
CREATE TABLE mach (
`row_id` int(11) unsigned NOT NULL AUTO_INCREMENT COMMENT '自增id',
`role_id` int(11) unsigned NOT NULL DEFAULT '0' COMMENT '关联role的role_id',
`authority_sum` int(11) unsigned NOT NULL DEFAULT '0' COMMENT 'perms的值的和',
`data_type_id` int(11) unsigned NOT NULL DEFAULT '0' COMMENT '关联data_type的id',
PRIMARY KEY (`row_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='角色的权限值的和，如角色有RD权限，则和为2+8=10';
--rollback drop TABLE mach;
--changeset tsuki:1604070707
CREATE TABLE MEGAMAN (
MAN VARCHAR(11) NOT NULL
); |
/* Создание процедуры изменения владельца билета */
CREATE PROCEDURE /*PREFIX*/CHANGE_TICKET_OWNER
(
TICKET_ID VARCHAR(32),
SURNAME VARCHAR(100),
NAME VARCHAR(100),
PATRONYMIC VARCHAR(100),
ADDRESS VARCHAR(250),
PHONE VARCHAR(100)
)
AS
BEGIN
UPDATE /*PREFIX*/TICKETS
SET SURNAME=:SURNAME,
NAME=:NAME,
PATRONYMIC=:PATRONYMIC,
ADDRESS=:ADDRESS,
PHONE=:PHONE
WHERE TICKET_ID=:TICKET_ID;
END;
--
/* Фиксация изменений */
COMMIT |
# Create the primary entities
CREATE TABLE IF NOT EXISTS Band
(
bandID INT AUTO_INCREMENT,
bandName VARCHAR(100) NOT NULL,
CONSTRAINT Band_pk
PRIMARY KEY (bandID)
);
CREATE TABLE IF NOT EXISTS Artist
(
artistID INT AUTO_INCREMENT,
fName VARCHAR(100) NOT NULL,
lName VARCHAR(100) NULL,
CONSTRAINT Artist_pk
PRIMARY KEY (artistID)
);
CREATE TABLE IF NOT EXISTS Album
(
albumID INT AUTO_INCREMENT,
albumTitle VARCHAR(100) NOT NULL,
liveRecording BOOL DEFAULT FALSE NULL,
CONSTRAINT Album_pk
PRIMARY KEY (albumID)
);
CREATE TABLE IF NOT EXISTS Label
(
labelID INT AUTO_INCREMENT,
labelName VARCHAR(100) NOT NULL,
CONSTRAINT Label_pk
PRIMARY KEY (labelID)
);
CREATE TABLE IF NOT EXISTS Song
(
songID INT AUTO_INCREMENT,
songTitle VARCHAR(100) NOT NULL,
duration TIME NULL,
lyrics VARCHAR(5000) NULL,
CONSTRAINT Song_pk
PRIMARY KEY (songID)
);
# Create “Playlist” before “Concert” due to One-to-Many relationship
CREATE TABLE IF NOT EXISTS Playlist
(
playlistID INT AUTO_INCREMENT,
playlistTitle VARCHAR(100) NOT NULL,
CONSTRAINT Playlist_pk
PRIMARY KEY (playlistID)
);
CREATE TABLE IF NOT EXISTS Concert
(
concertID INT AUTO_INCREMENT,
playlistID INT NULL,
location VARCHAR(100) NULL,
date DATE NULL,
CONSTRAINT Concert_pk
PRIMARY KEY (concertID),
CONSTRAINT Concert_Playlist_playlistID_fk
FOREIGN KEY (playlistID) REFERENCES Playlist (playlistID)
ON UPDATE CASCADE ON DELETE SET NULL
);
# Create the relational tables
CREATE TABLE IF NOT EXISTS BandArtist
(
bandArtistID INT AUTO_INCREMENT,
bandID INT NOT NULL,
artistID INT NOT NULL,
CONSTRAINT BandArtist_pk
PRIMARY KEY (bandArtistID),
CONSTRAINT BandArtist_Artist_artistID_fk
FOREIGN KEY (artistID) REFERENCES Artist (artistID)
ON UPDATE CASCADE ON DELETE CASCADE,
CONSTRAINT BandArtist_Band_bandID_fk
FOREIGN KEY (bandID) REFERENCES Band (bandID)
ON UPDATE CASCADE ON DELETE CASCADE
);
CREATE TABLE IF NOT EXISTS AlbumSong
(
albumSongID INT AUTO_INCREMENT,
albumID INT NOT NULL,
songID INT NOT NULL,
CONSTRAINT AlbumSong_pk
PRIMARY KEY (albumSongID),
CONSTRAINT AlbumSong_Album_albumID_fk
FOREIGN KEY (albumID) REFERENCES Album (albumID)
ON UPDATE CASCADE ON DELETE CASCADE,
CONSTRAINT AlbumSong_Song_songID_fk
FOREIGN KEY (songID) REFERENCES Song (songID)
ON UPDATE CASCADE ON DELETE CASCADE
);
CREATE TABLE IF NOT EXISTS PlaylistSong
(
playlistSongID INT AUTO_INCREMENT,
playlistID INT NOT NULL,
songID INT NOT NULL,
CONSTRAINT PlaylistSong_pk
PRIMARY KEY (playlistSongID),
CONSTRAINT PlaylistSong_Playlist_playlistID_fk
FOREIGN KEY (playlistID) REFERENCES Playlist (playlistID)
ON UPDATE CASCADE ON DELETE CASCADE,
CONSTRAINT PlaylistSong_Song_songID_fk
FOREIGN KEY (songID) REFERENCES Song (songID)
ON UPDATE CASCADE ON DELETE CASCADE
);
CREATE TABLE IF NOT EXISTS BandAlbum
(
bandAlbumID INT AUTO_INCREMENT,
bandID INT NOT NULL,
albumID INT NOT NULL,
CONSTRAINT BandAlbum_pk
PRIMARY KEY (bandAlbumID),
CONSTRAINT BandAlbum_Album_albumID_fk
FOREIGN KEY (albumID) REFERENCES Album (albumID)
ON UPDATE CASCADE ON DELETE CASCADE,
CONSTRAINT BandAlbum_Band_bandID_fk
FOREIGN KEY (bandID) REFERENCES Band (bandID)
ON UPDATE CASCADE ON DELETE CASCADE
);
CREATE TABLE IF NOT EXISTS BandSong
(
bandSongID INT AUTO_INCREMENT,
bandID INT NOT NULL,
songID INT NOT NULL,
CONSTRAINT BandSong_pk
PRIMARY KEY (bandSongID),
CONSTRAINT BandSong_Band_bandID_fk
FOREIGN KEY (bandID) REFERENCES Band (bandID)
ON UPDATE CASCADE ON DELETE CASCADE,
CONSTRAINT BandSong_Song_songID_fk
FOREIGN KEY (songID) REFERENCES Song (songID)
ON UPDATE CASCADE ON DELETE CASCADE
);
CREATE TABLE IF NOT EXISTS AlbumLabel
(
albumLabelID INT AUTO_INCREMENT,
albumID INT NOT NULL,
labelID INT NOT NULL,
CONSTRAINT AlbumLabel_pk
PRIMARY KEY (albumLabelID),
CONSTRAINT AlbumLabel_Album_albumID_fk
FOREIGN KEY (albumID) REFERENCES Album (albumID)
ON UPDATE CASCADE ON DELETE CASCADE,
CONSTRAINT AlbumLabel_Label_labelID_fk
FOREIGN KEY (labelID) REFERENCES Label (labelID)
ON UPDATE CASCADE ON DELETE CASCADE
);
|
SELECT USER
FROM DUAL;
--==>> HR
--○ 세 개 이상의 테이블 조인(JOIN)
-- 형식 1. (SQL 1992 CODE)
SELECT 테이블명1.컬럼명, 테이블명2.컬럼명, 테이블명3.컬럼명
FROM 테이블명1, 테이블명2, 테이블명3
WHERE 테이블1.컬럼명1 = 테이블명2.컬럼명1
AND 테이블명2.컬럼명2 = 테이블명3.컬럼명2;
-- 형식 2. (SQL 1999 CODE)
SELECT 테이블명1.컬럼명, 테이블명2.컬럼명, 테이블명3.컬럼명
FROM 테이블명1 JOIN 테이블명2
ON 테이블명1.컬럼명1 = 테이블명2.컬럼명1
JOIN 테이블명3
ON 테이블명2.컬럼명2 = 테이블명3.컬럼명2;
--○ HR 계정 소유의 테이블 또는 뷰 목록 조회
SELECT *
FROM TAB;
--==>>
/*
COUNTRIES TABLE
DEPARTMENTS TABLE
EMPLOYEES TABLE
EMP_DETAILS_VIEW VIEW
JOBS TABLE
JOB_HISTORY TABLE
LOCATIONS TABLE
REGIONS TABLE
TBL_ORAUSERTEST TABLE
*/
--○ HR.JOBS, HR.EMPLOYEES, HR.DEPARTMENTS 테이블을 대상으로
-- 직원들의 데이터를
-- FIRST_NAME, LAST_NAME, JOB_TITLE, DEPARTMENT_NAME 항목으로 조회한다.
-- E E J D
-- TEACHER'S CODE
SELECT *
FROM DEPRATMENTS;
-- DEPARTMENT_ID -- 관계 컬럼
SELECT *
FROM EMPLOYEES;
-- JOB_ID -- 관계 컬럼
SELECT *
FROM JOBS;
SELECT *
FROM EMPLOYEES E JOIN DEPARTMENTS D
ON E.DEPARTMENT_ID = D.DEPARTMENT_ID;
SELECT COUNT(*)
FROM EMPLOYEES E JOIN DEPARTMENTS D
ON E.DEPARTMENT_ID = D.DEPARTMENT_ID;
--==>> 106
SELECT COUNT(*)
FROM EMPLOYEES;
--==>> 107 (값이 1개 누락됨)
SELECT COUNT(*)
FROM EMPLOYEES E LEFT JOIN DEPARTMENTS D
ON E.DEPARTMENT_ID = D.DEPARTMENT_ID;
--==>> 107
SELECT COUNT(*)
FROM EMPLOYEES E LEFT JOIN DEPARTMENTS D
ON E.DEPARTMENT_ID = D.DEPARTMENT_ID
JOIN JOBS J
ON E.JOB_ID = J.JOB_ID;
--==>> 107 세개 합칠때 값의 누락이 없음
SELECT E.FIRST_NAME, E.LAST_NAME, J.JOB_TITLE, D.DEPARTMENT_NAME
FROM EMPLOYEES E LEFT JOIN DEPARTMENTS D
ON E.DEPARTMENT_ID = D.DEPARTMENT_ID
JOIN JOBS J
ON E.JOB_ID = J.JOB_ID;
--==>>
/*
Jennifer Whalen Administration Assistant Administration
Pat Fay Marketing Representative Marketing
Michael Hartstein Marketing Manager Marketing
Den Raphaely Purchasing Manager Purchasing
Karen Colmenares Purchasing Clerk Purchasing
Guy Himuro Purchasing Clerk Purchasing
Sigal Tobias Purchasing Clerk Purchasing
Alexander Khoo Purchasing Clerk Purchasing
Shelli Baida Purchasing Clerk Purchasing
Susan Mavris Human Resources Representative Human Resources
Matthew Weiss Stock Manager Shipping
Adam Fripp Stock Manager Shipping
Payam Kaufling Stock Manager Shipping
Shanta Vollman Stock Manager Shipping
Kevin Mourgos Stock Manager Shipping
John Seo Stock Clerk Shipping
Stephen Stiles Stock Clerk Shipping
Renske Ladwig Stock Clerk Shipping
Hazel Philtanker Stock Clerk Shipping
Ki Gee Stock Clerk Shipping
Michael Rogers Stock Clerk Shipping
Jason Mallin Stock Clerk Shipping
Peter Vargas Stock Clerk Shipping
James Marlow Stock Clerk Shipping
Mozhe Atkinson Stock Clerk Shipping
Laura Bissot Stock Clerk Shipping
Steven Markle Stock Clerk Shipping
James Landry Stock Clerk Shipping
Irene Mikkilineni Stock Clerk Shipping
Julia Nayer Stock Clerk Shipping
Joshua Patel Stock Clerk Shipping
Trenna Rajs Stock Clerk Shipping
Curtis Davies Stock Clerk Shipping
Randall Matos Stock Clerk Shipping
TJ Olson Stock Clerk Shipping
Girard Geoni Shipping Clerk Shipping
Martha Sullivan Shipping Clerk Shipping
Jean Fleaur Shipping Clerk Shipping
Winston Taylor Shipping Clerk Shipping
Douglas Grant Shipping Clerk Shipping
Donald OConnell Shipping Clerk Shipping
Kevin Feeney Shipping Clerk Shipping
Alana Walsh Shipping Clerk Shipping
Vance Jones Shipping Clerk Shipping
Samuel McCain Shipping Clerk Shipping
Britney Everett Shipping Clerk Shipping
Sarah Bell Shipping Clerk Shipping
Randall Perkins Shipping Clerk Shipping
Timothy Gates Shipping Clerk Shipping
Jennifer Dilly Shipping Clerk Shipping
Kelly Chung Shipping Clerk Shipping
Anthony Cabrio Shipping Clerk Shipping
Julia Dellinger Shipping Clerk Shipping
Alexis Bull Shipping Clerk Shipping
Nandita Sarchand Shipping Clerk Shipping
David Austin Programmer IT
Valli Pataballa Programmer IT
Diana Lorentz Programmer IT
Bruce Ernst Programmer IT
Alexander Hunold Programmer IT
Hermann Baer Public Relations Representative Public Relations
Clara Vishney Sales Representative Sales
Peter Tucker Sales Representative Sales
David Bernstein Sales Representative Sales
Peter Hall Sales Representative Sales
Christopher Olsen Sales Representative Sales
Nanette Cambrault Sales Representative Sales
Jack Livingston Sales Representative Sales
Jonathon Taylor Sales Representative Sales
Alyssa Hutton Sales Representative Sales
Ellen Abel Sales Representative Sales
Sundita Kumar Sales Representative Sales
Elizabeth Bates Sales Representative Sales
William Smith Sales Representative Sales
Tayler Fox Sales Representative Sales
Harrison Bloom Sales Representative Sales
Lisa Ozer Sales Representative Sales
Amit Banda Sales Representative Sales
Sundar Ande Sales Representative Sales
David Lee Sales Representative Sales
Mattea Marvins Sales Representative Sales
Danielle Greene Sales Representative Sales
Charles Johnson Sales Representative Sales
Sarath Sewall Sales Representative Sales
Louise Doran Sales Representative Sales
Lindsey Smith Sales Representative Sales
Allan McEwen Sales Representative Sales
Patrick Sully Sales Representative Sales
Janette King Sales Representative Sales
Oliver Tuvault Sales Representative Sales
Eleni Zlotkey Sales Manager Sales
John Russell Sales Manager Sales
Karen Partners Sales Manager Sales
Alberto Errazuriz Sales Manager Sales
Gerald Cambrault Sales Manager Sales
Neena Kochhar Administration Vice President Executive
Lex De Haan Administration Vice President Executive
Steven King President Executive
Nancy Greenberg Finance Manager Finance
Jose Manuel Urman Accountant Finance
Ismael Sciarra Accountant Finance
Luis Popp Accountant Finance
Daniel Faviet Accountant Finance
John Chen Accountant Finance
Shelley Higgins Accounting Manager Accounting
William Gietz Public Accountant Accounting
Kimberely Grant Sales Representative
*/
-- MY CODE
-- 1992
SELECT E.FIRST_NAME, E.LAST_NAME
, J.JOB_TITLE, D.DEPARTMENT_NAME
FROM EMPLOYEES E, DEPARTMENTS D, JOBS J
WHERE E.DEPARTMENT_ID = D.DEPARTMENT_ID(+)
AND E.JOB_ID = J.JOB_ID;
-- 1999
SELECT E.FIRST_NAME, E.LAST_NAME, J.JOB_TITLE, D.DEPARTMENT_NAME
FROM EMPLOYEES E LEFT JOIN DEPARTMENTS D
ON E.DEPARTMENT_ID = D.DEPARTMENT_ID
JOIN JOBS J
ON E.JOB_ID = J.JOB_ID;
--○ EMPLOYEES, DEPARTMENTS, JOBS, LOCATIONS, COUNTRIES, REGIONS 테이블을 대상으로
-- 직원들의 데이터를 다음과 같이 조회한다.
-- FIRST_NAME, LAST_NAME, JOB_TITLE, DEPARTMENT_NAME, CITY, COUNTRY_NAME, REGION_NAME
SELECT *
FROM JOBS;
--JOB_ID
SELECT *
FROM EMPLOYEES;
-- DEPARTMENT_ID
SELECT *
FROM DEPARTMENTS;
-- LOCATION_ID
SELECT *
FROM LOCATIONS;
-- COUNTRY_ID
SELECT *
FROM COUNTRIES;
-- REGION_ID
SELECT *
FROM REGION;
SELECT COUNT(*)
FROM EMPLOYEES E, JOBS J, DEPARTMENTS D, LOCATIONS L, COUNTRIES C, REGIONS G
WHERE E.JOB_ID = J.JOB_ID
AND E.DEPARTMENT_ID = D.DEPARTMENT_ID(+)
AND D.LOCATION_ID = L.LOCATION_ID(+)
AND L.COUNTRY_ID = C.COUNTRY_ID(+)
AND C.REGION_ID = G.REGION_ID(+);
-- 1992
SELECT E.FIRST_NAME, E.LAST_NAME, J.JOB_TITLE, D.DEPARTMENT_NAME
, L.CITY, C.COUNTRY_NAME, G.REGION_NAME
FROM EMPLOYEES E, JOBS J, DEPARTMENTS D, LOCATIONS L, COUNTRIES C, REGIONS G
WHERE E.JOB_ID = J.JOB_ID
AND E.DEPARTMENT_ID = D.DEPARTMENT_ID(+)
AND D.LOCATION_ID = L.LOCATION_ID(+)
AND L.COUNTRY_ID = C.COUNTRY_ID(+)
AND C.REGION_ID = G.REGION_ID(+);
-- 1999
SELECT E.FIRST_NAME, E.LAST_NAME, J.JOB_TITLE, D.DEPARTMENT_NAME
, L.CITY, C.COUNTRY_NAME, G.REGION_NAME
FROM EMPLOYEES E JOIN JOBS J
ON E.JOB_ID = J.JOB_ID
LEFT JOIN DEPARTMENTS D
ON E.DEPARTMENT_ID = D.DEPARTMENT_ID
LEFT JOIN LOCATIONS L
ON D.LOCATION_ID = L.LOCATION_ID
LEFT JOIN COUNTRIES C
ON L.COUNTRY_ID = C.COUNTRY_ID
LEFT JOIN REGIONS G
ON C.REGION_ID = G.REGION_ID;
/*
Jennifer Whalen Administration Assistant Administration Seattle United States of America Americas
Pat Fay Marketing Representative Marketing Toronto Canada Americas
Michael Hartstein Marketing Manager Marketing Toronto Canada Americas
Den Raphaely Purchasing Manager Purchasing Seattle United States of America Americas
Karen Colmenares Purchasing Clerk Purchasing Seattle United States of America Americas
Guy Himuro Purchasing Clerk Purchasing Seattle United States of America Americas
Sigal Tobias Purchasing Clerk Purchasing Seattle United States of America Americas
Alexander Khoo Purchasing Clerk Purchasing Seattle United States of America Americas
Shelli Baida Purchasing Clerk Purchasing Seattle United States of America Americas
Susan Mavris Human Resources Representative Human Resources London United Kingdom Europe
Matthew Weiss Stock Manager Shipping South San Francisco United States of America Americas
Adam Fripp Stock Manager Shipping South San Francisco United States of America Americas
Payam Kaufling Stock Manager Shipping South San Francisco United States of America Americas
Shanta Vollman Stock Manager Shipping South San Francisco United States of America Americas
Kevin Mourgos Stock Manager Shipping South San Francisco United States of America Americas
John Seo Stock Clerk Shipping South San Francisco United States of America Americas
Stephen Stiles Stock Clerk Shipping South San Francisco United States of America Americas
Renske Ladwig Stock Clerk Shipping South San Francisco United States of America Americas
Hazel Philtanker Stock Clerk Shipping South San Francisco United States of America Americas
Ki Gee Stock Clerk Shipping South San Francisco United States of America Americas
Michael Rogers Stock Clerk Shipping South San Francisco United States of America Americas
Jason Mallin Stock Clerk Shipping South San Francisco United States of America Americas
Peter Vargas Stock Clerk Shipping South San Francisco United States of America Americas
James Marlow Stock Clerk Shipping South San Francisco United States of America Americas
Mozhe Atkinson Stock Clerk Shipping South San Francisco United States of America Americas
Laura Bissot Stock Clerk Shipping South San Francisco United States of America Americas
Steven Markle Stock Clerk Shipping South San Francisco United States of America Americas
James Landry Stock Clerk Shipping South San Francisco United States of America Americas
Irene Mikkilineni Stock Clerk Shipping South San Francisco United States of America Americas
Julia Nayer Stock Clerk Shipping South San Francisco United States of America Americas
Joshua Patel Stock Clerk Shipping South San Francisco United States of America Americas
Trenna Rajs Stock Clerk Shipping South San Francisco United States of America Americas
Curtis Davies Stock Clerk Shipping South San Francisco United States of America Americas
Randall Matos Stock Clerk Shipping South San Francisco United States of America Americas
TJ Olson Stock Clerk Shipping South San Francisco United States of America Americas
Girard Geoni Shipping Clerk Shipping South San Francisco United States of America Americas
Martha Sullivan Shipping Clerk Shipping South San Francisco United States of America Americas
Jean Fleaur Shipping Clerk Shipping South San Francisco United States of America Americas
Winston Taylor Shipping Clerk Shipping South San Francisco United States of America Americas
Douglas Grant Shipping Clerk Shipping South San Francisco United States of America Americas
Donald OConnell Shipping Clerk Shipping South San Francisco United States of America Americas
Kevin Feeney Shipping Clerk Shipping South San Francisco United States of America Americas
Alana Walsh Shipping Clerk Shipping South San Francisco United States of America Americas
Vance Jones Shipping Clerk Shipping South San Francisco United States of America Americas
Samuel McCain Shipping Clerk Shipping South San Francisco United States of America Americas
Britney Everett Shipping Clerk Shipping South San Francisco United States of America Americas
Sarah Bell Shipping Clerk Shipping South San Francisco United States of America Americas
Randall Perkins Shipping Clerk Shipping South San Francisco United States of America Americas
Timothy Gates Shipping Clerk Shipping South San Francisco United States of America Americas
Jennifer Dilly Shipping Clerk Shipping South San Francisco United States of America Americas
Kelly Chung Shipping Clerk Shipping South San Francisco United States of America Americas
Anthony Cabrio Shipping Clerk Shipping South San Francisco United States of America Americas
Julia Dellinger Shipping Clerk Shipping South San Francisco United States of America Americas
Alexis Bull Shipping Clerk Shipping South San Francisco United States of America Americas
Nandita Sarchand Shipping Clerk Shipping South San Francisco United States of America Americas
David Austin Programmer IT Southlake United States of America Americas
Valli Pataballa Programmer IT Southlake United States of America Americas
Diana Lorentz Programmer IT Southlake United States of America Americas
Bruce Ernst Programmer IT Southlake United States of America Americas
Alexander Hunold Programmer IT Southlake United States of America Americas
Hermann Baer Public Relations Representative Public Relations Munich Germany Europe
Clara Vishney Sales Representative Sales Oxford United Kingdom Europe
Peter Tucker Sales Representative Sales Oxford United Kingdom Europe
David Bernstein Sales Representative Sales Oxford United Kingdom Europe
Peter Hall Sales Representative Sales Oxford United Kingdom Europe
Christopher Olsen Sales Representative Sales Oxford United Kingdom Europe
Nanette Cambrault Sales Representative Sales Oxford United Kingdom Europe
Jack Livingston Sales Representative Sales Oxford United Kingdom Europe
Jonathon Taylor Sales Representative Sales Oxford United Kingdom Europe
Alyssa Hutton Sales Representative Sales Oxford United Kingdom Europe
Ellen Abel Sales Representative Sales Oxford United Kingdom Europe
Sundita Kumar Sales Representative Sales Oxford United Kingdom Europe
Elizabeth Bates Sales Representative Sales Oxford United Kingdom Europe
William Smith Sales Representative Sales Oxford United Kingdom Europe
Tayler Fox Sales Representative Sales Oxford United Kingdom Europe
Harrison Bloom Sales Representative Sales Oxford United Kingdom Europe
Lisa Ozer Sales Representative Sales Oxford United Kingdom Europe
Amit Banda Sales Representative Sales Oxford United Kingdom Europe
Sundar Ande Sales Representative Sales Oxford United Kingdom Europe
David Lee Sales Representative Sales Oxford United Kingdom Europe
Mattea Marvins Sales Representative Sales Oxford United Kingdom Europe
Danielle Greene Sales Representative Sales Oxford United Kingdom Europe
Charles Johnson Sales Representative Sales Oxford United Kingdom Europe
Sarath Sewall Sales Representative Sales Oxford United Kingdom Europe
Louise Doran Sales Representative Sales Oxford United Kingdom Europe
Lindsey Smith Sales Representative Sales Oxford United Kingdom Europe
Allan McEwen Sales Representative Sales Oxford United Kingdom Europe
Patrick Sully Sales Representative Sales Oxford United Kingdom Europe
Janette King Sales Representative Sales Oxford United Kingdom Europe
Oliver Tuvault Sales Representative Sales Oxford United Kingdom Europe
Eleni Zlotkey Sales Manager Sales Oxford United Kingdom Europe
John Russell Sales Manager Sales Oxford United Kingdom Europe
Karen Partners Sales Manager Sales Oxford United Kingdom Europe
Alberto Errazuriz Sales Manager Sales Oxford United Kingdom Europe
Gerald Cambrault Sales Manager Sales Oxford United Kingdom Europe
Neena Kochhar Administration Vice President Executive Seattle United States of America Americas
Lex De Haan Administration Vice President Executive Seattle United States of America Americas
Steven King President Executive Seattle United States of America Americas
Nancy Greenberg Finance Manager Finance Seattle United States of America Americas
Jose Manuel Urman Accountant Finance Seattle United States of America Americas
Ismael Sciarra Accountant Finance Seattle United States of America Americas
Luis Popp Accountant Finance Seattle United States of America Americas
Daniel Faviet Accountant Finance Seattle United States of America Americas
John Chen Accountant Finance Seattle United States of America Americas
Shelley Higgins Accounting Manager Accounting Seattle United States of America Americas
William Gietz Public Accountant Accounting Seattle United States of America Americas
Kimberely Grant Sales Representative
*/ |
insert into b_user values
(null, 'xxx', 'xxx', 0, 'xxx@xxx.com', null),
|
CREATE TABLE QGPL.FFOTEST
(
PLNT VARCHAR(3),
ORDER NUMERIC(6,0),
ORDERITEM NUMERIC (3,0),
BOL NUMERIC (6,0),
BOLITEM NUMERIC(3,0),
INVOICE NUMERIC(6,0),
INVOICEITEM NUMERIC (3,0),
PROMO VARCHAR(255),
RETURNREAS VARCHAR(255),
TERMS VARCHAR(10),
CURRENCY VARCHAR(10),
CUSTPO VARCHAR(255),
ORDERDATE DATE,
REQUESTDATE DATE,
PROMISEDATE DATE,
SHIPDATE DATE,
SALESMONTH VARCHAR(4),
BILLREMITO INT,
BILLCUSTCLASS VARCHAR(255),
BILLCUST VARCHAR(255),
BILLREP VARCHAR(255),
BILLDSM VARCHAR(255),
BILLDIRECTOR VARCHAR(255),
SHIPCUSTCLASS VARCHAR(255),
SHIPCUST VARCHAR(255),
SHIPDSM VARCHAR(255),
SHIPDIRECTOR VARCHAR(255),
ACCOUNT VARCHAR(255),
GEO VARCHAR(255),
CHAN VARCHAR(255),
ORIG_CTRY VARCHAR(3),
ORIG_PROV VARCHAR(3),
ORIG_LANE VARCHAR(3),
ORIG_POST VARCHAR(255),
DEST_CTRY VARCHAR(3),
DEST_PROV VARCHAR(3),
DEST_LANE VARCHAR(3),
DEST_POST VARCHAR(255),
PART VARCHAR(255),
GL_CODE VARCHAR(255),
MAJG VARCHAR(255),
MING VARCHAR(255),
MAJS VARCHAR(255),
MINS VARCHAR(255),
GLDC VARCHAR(255),
GLEC VARCHAR(255),
HARM VARCHAR(255),
CLSS VARCHAR(255),
BRAND VARCHAR(255),
ASSC VARCHAR(255),
FB_QTY NUMERIC (20,5),
FB_VAL_LOC NUMERIC(20,5),
FB_VAL_USD NUMERIC (20,5),
FLAG VARCHAR(255),
CALC_STATUS VARCHAR(255),
B_ORDERDATE DATE,
B_REQUESTDATE DATE,
B_SHIPDATE DATE,
VERSION VARCHAR(255)
) |
-- phpMyAdmin SQL Dump
-- version 4.5.1
-- http://www.phpmyadmin.net
--
-- Client : 127.0.0.1
-- Généré le : Jeu 24 Novembre 2016 à 18:02
-- Version du serveur : 10.1.10-MariaDB
-- Version de PHP : 5.5.33
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Base de données : `auxiliairepuericultrice`
--
-- --------------------------------------------------------
--
-- Structure de la table `modules`
--
CREATE TABLE `modules` (
`id_module` int(11) NOT NULL,
`module` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Contenu de la table `modules`
--
INSERT INTO `modules` (`id_module`, `module`) VALUES
(1, 'apprendre'),
(2, 'bleu'),
(3, 'red'),
(4, 'super');
-- --------------------------------------------------------
--
-- Structure de la table `questionnaire`
--
CREATE TABLE `questionnaire` (
`id_question` int(11) NOT NULL,
`question` varchar(255) NOT NULL,
`id_module` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Contenu de la table `questionnaire`
--
INSERT INTO `questionnaire` (`id_question`, `question`, `id_module`) VALUES
(1, 'Quelle valeur ?', 1),
(2, 'tu as vu ?', 2),
(3, 'Comment allez vous ?', 1),
(4, 'Ca va ?', 2),
(5, 'Tu as faim ?', 4),
(6, 'oui ou non ?', 3),
(7, 'Tu es la ?', 3),
(8, 'qui peux ?', 2);
-- --------------------------------------------------------
--
-- Structure de la table `reponse`
--
CREATE TABLE `reponse` (
`id_question` int(11) NOT NULL,
`reponse` varchar(255) NOT NULL,
`type` varchar(255) NOT NULL,
`correction` tinyint(1) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Contenu de la table `reponse`
--
INSERT INTO `reponse` (`id_question`, `reponse`, `type`, `correction`) VALUES
(0, 'bleu', '', 0),
(0, 'reed', '', 0),
(0, 'bleu', '', 0),
(0, 'velo', '', 0),
(1, 'velo à pedale', '', 0),
(3, 'chinois', '', 0),
(5, 'oui', '', 0),
(4, 'peut etre', '', 0),
(1, 'oui', '', 0),
(1, 'non', '', 0),
(1, 'c''est vrai', 'radio', 0),
(1, 'c''est blue', 'radio', 0),
(2, 'ok', 'checkbox', 0),
(2, 'ok c good', 'checkbox', 0),
(3, 'blabla', 'text', 0),
(3, 'bibi', 'text', 0),
(4, '', 'text', 0),
(5, '', 'text', 0),
(50, 'ok dacc', 'radius', 0),
(8, 'fez', '', 0),
(8, 'fez', '', 0),
(8, 'dav', '', 0),
(8, 'ro', '', 0),
(8, 'tu', '', 0);
--
-- Index pour les tables exportées
--
--
-- Index pour la table `modules`
--
ALTER TABLE `modules`
ADD PRIMARY KEY (`id_module`);
--
-- Index pour la table `questionnaire`
--
ALTER TABLE `questionnaire`
ADD PRIMARY KEY (`id_question`),
ADD KEY `id_module` (`id_module`);
--
-- Index pour la table `reponse`
--
ALTER TABLE `reponse`
ADD KEY `id_question` (`id_question`);
--
-- AUTO_INCREMENT pour les tables exportées
--
--
-- AUTO_INCREMENT pour la table `modules`
--
ALTER TABLE `modules`
MODIFY `id_module` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- AUTO_INCREMENT pour la table `questionnaire`
--
ALTER TABLE `questionnaire`
MODIFY `id_question` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=9;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
-- +micrate Up
CREATE TABLE api_tokens (
id BIGSERIAL PRIMARY KEY,
token VARCHAR NOT NULL UNIQUE,
user_id INT REFERENCES users ON DELETE CASCADE,
expires_at TIMESTAMP,
created_at TIMESTAMP,
updated_at TIMESTAMP
);
-- +micrate Down
DROP TABLE IF EXISTS api_tokens;
|
CREATE TABLE User
(
Id int NOT NULL AUTO_INCREMENT,
Username varchar (255),
Role int,
Hash blob,
Salt blob,
Email varchar (255),
Created date,
PRIMARY KEY(Id)
);
CREATE TABLE Organization
(
Id int NOT NULL AUTO_INCREMENT,
Title varchar (255),
Description varchar (255),
WebsiteUrl varchar (255),
fk_UserId int NOT NULL,
PRIMARY KEY(Id),
UNIQUE(fk_UserId),
FOREIGN KEY(fk_UserId) REFERENCES User (Id)
);
CREATE TABLE Volunteer
(
Id int NOT NULL AUTO_INCREMENT,
FirstName varchar (255),
LastName varchar (255),
Description varchar (255),
fk_UserId int NOT NULL,
PRIMARY KEY(Id),
UNIQUE(fk_UserId),
FOREIGN KEY(fk_UserId) REFERENCES User (Id)
);
CREATE TABLE Project
(
Id int NOT NULL AUTO_INCREMENT,
Title varchar (255),
Description varchar (255),
Email varchar (255),
Phone varchar (255),
Url varchar (255),
Start date,
End date,
fk_OrganizationId int NOT NULL,
PRIMARY KEY(Id),
FOREIGN KEY(fk_OrganizationId) REFERENCES Organization (Id)
);
CREATE TABLE Review
(
Id int NOT NULL AUTO_INCREMENT,
Title varchar (255),
Grade int,
Text varchar (255),
Created date,
fk_OrganizationId int NOT NULL,
PRIMARY KEY(Id),
FOREIGN KEY(fk_OrganizationId) REFERENCES Organization (Id)
);
CREATE TABLE Picture
(
Id int NOT NULL AUTO_INCREMENT,
Title varchar (255),
Url varchar (255),
fk_ProjectId int,
fk_VolunteerId int,
fk_OrganizationId int,
PRIMARY KEY(Id),
FOREIGN KEY(fk_ProjectId) REFERENCES Project (Id),
FOREIGN KEY(fk_VolunteerId) REFERENCES Volunteer (Id),
FOREIGN KEY(fk_OrganizationId) REFERENCES Organization (Id)
);
CREATE TABLE Project_Volunteer
(
fk_ProjectId int,
fk_VolunteerId int,
PRIMARY KEY(fk_ProjectId, fk_VolunteerId),
FOREIGN KEY(fk_ProjectId) REFERENCES Project (Id),
FOREIGN KEY(fk_VolunteerId) REFERENCES Volunteer (Id)
);
|
CREATE OR REPLACE PACKAGE pkg_hr_departments
AS
PROCEDURE prc_add_department(
as_department_name IN departments.department_name%type,
an_manager_id IN departments.manager_id%type,
an_location_id IN departments.location_id%type
);
PROCEDURE prc_adjust_department_data(
an_department_id IN departments.department_id%type,
as_department_name IN departments.department_name%type,
an_manager_id IN departments.manager_id%type,
an_location_id IN departments.location_id%type
);
PROCEDURE prc_remove_department( an_department_id IN departments.department_id%type);
FUNCTION fnc_department_exists( an_department_id IN departments.department_id%type)
RETURN BOOLEAN;
FUNCTION fnc_department_exists_sql( an_department_id IN departments.department_id%type)
RETURN NUMBER;
END pkg_hr_departments;
/ |
/*
国内费用-详细用途
*/
delimiter $
drop trigger if exists Tgr_PaymentDomesticsDetail_AftereUpdate $
create trigger Tgr_PaymentDomesticsDetail_AftereUpdate after update
on PaymentDomesticsDetail
for each row
begin
/*定义变量*/
declare srid varchar(255);
declare sNewKeyNo varchar(255);
declare sOldKeyNo varchar(255);
declare sNewKeyModaul varchar(255);
declare sOldKeyModaul varchar(255);
declare fNewUsedAmount decimal(18,2);
declare fOldUsedAmount decimal(18,2);
declare sNewInvoiceNO varchar(255);
declare sOldInvoiceNO varchar(255);
declare SettlementsRid varchar(255);
set srid=new.pid;
set sNewKeyNo=new.KeyNo;
set sOldKeyNo=old.KeyNo;
set sNewKeyModaul=new.KeyModaul;
set sOldKeyModaul=old.KeyModaul;
set fNewUsedAmount=new.UsedAmount;
set fOldUsedAmount=old.UsedAmount;
set sNewInvoiceNO=new.InvoiceNO;
set sOldInvoiceNO=old.InvoiceNO;
if ifNull(sNewKeyNo,'')<>ifNull(sOldKeyNo,'') or ifNull(sNewKeyModaul,'')<>ifNull(sOldKeyModaul,'') or fNewUsedAmount<>fOldUsedAmount or ifNull(sNewInvoiceNO,'')<>ifNull(sOldInvoiceNO,'') then
call Proc_ReceiveSamples_SumReceiveChargeed(srid,sNewKeyNo);-- 收样管理-已付快件费
call Proc_SendSamples_SumExpressFeesed(srid,sNewKeyNo);-- 寄样管理-已付快件费
set SettlementsRid=(Select rid From Settlements Where InvoiceNO=sNewInvoiceNO Limit 0,1);
call Proc_Settlements_SumMiscellaneousPaidUp(sNewInvoiceNO);-- 结算费用-已付运杂费
call Proc_Settlements_SumExpressFees(sNewInvoiceNO);-- 结算费用-已付快件费
call Proc_Settlements_SumOtherDomesticsPaidUp(sNewInvoiceNO);-- 结算中心-国内其他费用
call Proc_Settlements_MathGrossProfit(SettlementsRid);-- 结算中心-实际业务毛利
call Proc_ReceiveSamples_SumReceiveChargeed(srid,sOldKeyNo);-- 收样管理-已付快件费
call Proc_SendSamples_SumExpressFeesed(srid,sOldKeyNo);-- 寄样管理-已付快件费
set SettlementsRid=(Select rid From Settlements Where InvoiceNO=sOldInvoiceNO Limit 0,1);
call Proc_Settlements_SumMiscellaneousPaidUp(sOldInvoiceNO);-- 结算费用-已付运杂费
call Proc_Settlements_SumExpressFees(sOldInvoiceNO);-- 结算费用-已付快件费
call Proc_Settlements_SumOtherDomesticsPaidUp(sOldInvoiceNO);-- 结算中心-国内其他费用
call Proc_Settlements_MathGrossProfit(SettlementsRid);-- 结算中心-实际业务毛利
end if;
end$
delimiter ; |
Create Procedure sp_insert_Awareness (@Awareness as nvarchar(200))
As
Insert into Awareness ([Description]) Values (@Awareness)
Select @@identity
|
-- phpMyAdmin SQL Dump
-- version 4.8.3
-- https://www.phpmyadmin.net/
--
-- Servidor: 127.0.0.1:3307
-- Tiempo de generación: 31-01-2019 a las 13:20:27
-- Versión del servidor: 10.1.35-MariaDB
-- Versión de PHP: 7.2.9
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET AUTOCOMMIT = 0;
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Base de datos: `proyecto3x1`
--
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `ciudades`
--
CREATE TABLE `ciudades` (
`nombre` varchar(20) NOT NULL,
`visitantes` varchar(20) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Volcado de datos para la tabla `ciudades`
--
INSERT INTO `ciudades` (`nombre`, `visitantes`) VALUES
('Hong kong', '29'),
('Bangkok', '23'),
('Londres', '20'),
('Macao', '18'),
('Singapur', '17'),
('Paris', '16'),
('Dubai', '15'),
('Nueva York', '13'),
('Kuala Lumpur', '13'),
('Shenzhen', '12');
COMMIT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
DROP VIEW balances;
|
-- Sums the rolling days present and establishes X for trend calc
SELECT Site, StudentID, Date, DayPres, RunTotal,
ROW_NUMBER() OVER (PARTITION BY StudentID, TermName ORDER BY StudentID, CONVERT(Date,DATE)) as X,
TermName, TermOrder
FROM (
SELECT Site, StudentID, Date, DayPres, TermName, TermOrder,
SUM(DayPres) OVER (PARTITION BY StudentID, TermName ORDER BY CONVERT(Date,Date)) as RunTotal
FROM ZZ_TEST_BB_RollingAttendance_Prep0_5
) as tot
ORDER BY StudentID, CONVERT(Date,Date) |
# --- !Ups
-- --------------------------------------------------------
-- Host: 127.0.0.1
-- Server version: 5.6.21 - MySQL Community Server (GPL)
-- Server OS: Win64
-- HeidiSQL Version: 9.1.0.4867
-- --------------------------------------------------------
/*!40101 SET @OLD_CHARACTER_SET_CLIENT = @@CHARACTER_SET_CLIENT */;
/*!40101 SET NAMES utf8mb4 */;
/*!40014 SET @OLD_FOREIGN_KEY_CHECKS = @@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS = 0 */;
/*!40101 SET @OLD_SQL_MODE = @@SQL_MODE, SQL_MODE = 'NO_AUTO_VALUE_ON_ZERO' */;
-- Dumping data for table item-inventory-db.app_user: ~1 rows (approximately)
/*!40000 ALTER TABLE `app_user` DISABLE KEYS */;
INSERT INTO `app_user` (`id`, `username`, `password_salt`, `password_hash`) VALUES
(5, 'test', '343421064681527428843826896969', 'NW0ixKJc98ijGVjWxdDM+43aBOnkR3ddgX299pirK4v80pJBtwAzLfTuZ0eLDOwG');
/*!40000 ALTER TABLE `app_user` ENABLE KEYS */;
-- Dumping data for table item-inventory-db.field: ~5 rows (approximately)
/*!40000 ALTER TABLE `field` DISABLE KEYS */;
INSERT INTO `field` (`id`, `name`, `item_type_id`, `username`) VALUES
(37, 'Headquarters', 14, 'test'),
(38, 'Website', 14, 'test'),
(44, 'Author', 16, 'test'),
(45, 'Publisher', 16, 'test'),
(46, 'Year', 16, 'test');
/*!40000 ALTER TABLE `field` ENABLE KEYS */;
-- Dumping data for table item-inventory-db.item: ~10 rows (approximately)
/*!40000 ALTER TABLE `item` DISABLE KEYS */;
INSERT INTO `item` (`id`, `name`, `item_type_id`, `username`) VALUES
(30, 'Samsung', 14, 'test'),
(31, 'Apple', 14, 'test'),
(32, 'Foxconn', 14, 'test'),
(33, 'HP', 14, 'test'),
(34, 'IBM', 14, 'test'),
(35, 'Amazon', 14, 'test'),
(36, 'Microsoft', 14, 'test'),
(37, 'Sony', 14, 'test'),
(38, 'Google', 14, 'test'),
(39, 'Ensemble', 14, 'test'),
(43, 'Clean Code: A Handbook of Agile Software Craftsmanship', 16, 'test'),
(44, 'Object-Oriented Design Heuristics', 16, 'test'),
(45, 'Design Patterns: Elements of Reusable Object-Oriente?d Software', 16, 'test'),
(46, 'Refactoring: Improving the Design of Existing Code', 16, 'test'),
(47, 'The Pragmatic Programmer: From Journeyman to Master', 16, 'test'),
(48, 'Code Complete (2nd Edition)', 16, 'test'),
(49, 'Accelerated C++: Practical Programming by Example', 16, 'test'),
(50, 'Cracking the Coding Interview: 150 Programming Questions and Solutions', 16, 'test'),
(51, 'The 7 Habits of Highly Effective People: Powerful Lessons in Personal Change', 16, 'test'),
(52, 'Getting Things Done: The Art of Stress-Free Productivity', 16, 'test'),
(53, 'The 80/20 Principle: The Secret to Achieving More with Less', 16, 'test'),
(54, 'Your Brain At Work', 16, 'test'),
(55, 'Psycho-Cybernetics: Updated and Revised', 16, 'test'),
(56, 'Team of Teams: New Rules of Engagement for a Complex World', 16, 'test'),
(57, 'Think and Grow Rich', 16, 'test');
/*!40000 ALTER TABLE `item` ENABLE KEYS */;
-- Dumping data for table item-inventory-db.item_field: ~20 rows (approximately)
/*!40000 ALTER TABLE `item_field` DISABLE KEYS */;
INSERT INTO `item_field` (`id`, `item_id`, `field_id`, `username`, `field_val`) VALUES
(129, 30, 37, 'test', 'Suwon, South Korea'),
(130, 30, 38, 'test', 'http://www.samsung.com/'),
(132, 31, 37, 'test', 'Cupertino, CA, USA'),
(133, 31, 38, 'test', 'http://www.apple.com/'),
(135, 32, 37, 'test', 'New Taipei, Taiwan'),
(136, 32, 38, 'test', 'http://www.foxconn.com/'),
(138, 33, 37, 'test', 'Palo Alto, CA, USA'),
(139, 33, 38, 'test', 'http://www.hp.com/'),
(141, 34, 37, 'test', 'Armonk, NY, USA'),
(142, 34, 38, 'test', 'http://www.ibm.com/'),
(144, 35, 37, 'test', 'Seattle, WA, USA'),
(145, 35, 38, 'test', 'http://www.amazon.com'),
(147, 36, 37, 'test', 'Redmond, WA, USA'),
(148, 36, 38, 'test', 'http://www.microsoft.com'),
(150, 37, 37, 'test', 'Tokyo, Japan'),
(151, 37, 38, 'test', 'http://www.sony.net/'),
(153, 38, 37, 'test', 'Mountain View, CA, USA'),
(154, 38, 38, 'test', 'http://www.google.com'),
(156, 39, 37, 'test', 'Richmond, BC, Canada'),
(157, 39, 38, 'test', 'http://www.ensemble.com'),
(170, 43, 44, 'test', 'Robert C. Martin'),
(171, 43, 45, 'test', 'Prentice Hall'),
(172, 43, 46, 'test', '2008'),
(173, 44, 44, 'test', 'Arthur J. Riel'),
(174, 44, 45, 'test', 'Addison-Wesley Professional'),
(175, 44, 46, 'test', '1996'),
(176, 45, 44, 'test', 'Erich Gamma, Richard Helm, Ralph Johnson'),
(177, 45, 45, 'test', 'Addison-Wesley Professional'),
(178, 45, 46, 'test', '1994'),
(179, 46, 44, 'test', 'Martin Fowler, Kent Beck, John Brant'),
(180, 46, 45, 'test', 'Addison-Wesley Professional'),
(181, 46, 46, 'test', '1999'),
(182, 47, 44, 'test', 'Andrew Hunt, David Thomas'),
(183, 47, 45, 'test', 'Addison-Wesley Professional'),
(184, 47, 46, 'test', '1999'),
(185, 48, 44, 'test', 'Steve McConnell'),
(186, 48, 45, 'test', 'Microsoft Press'),
(187, 48, 46, 'test', '2004'),
(188, 49, 44, 'test', 'Andrew Koenig, Barbara E. Moo'),
(189, 49, 45, 'test', 'Addison-Wesley Professional'),
(190, 49, 46, 'test', '2000'),
(191, 50, 44, 'test', 'Gayle Laakmann McDowell'),
(192, 50, 45, 'test', 'CareerCup'),
(193, 50, 46, 'test', '2011'),
(194, 51, 44, 'test', 'Stephen R. Covey'),
(195, 51, 45, 'test', 'Simon & Schuster'),
(196, 51, 46, 'test', '2004'),
(197, 52, 44, 'test', 'David Allen'),
(198, 52, 45, 'test', 'Penguin Books'),
(199, 52, 46, 'test', '2002'),
(200, 53, 44, 'test', 'Richard Koch'),
(201, 53, 45, 'test', 'Crown Business'),
(202, 53, 46, 'test', '1999'),
(203, 54, 44, 'test', 'David Rock'),
(204, 54, 45, 'test', 'Harper Business'),
(205, 54, 46, 'test', '2009'),
(206, 55, 44, 'test', 'Maxwell Maltz, Dan Kennedy'),
(207, 55, 45, 'test', 'Amazon'),
(208, 55, 46, 'test', '2006'),
(209, 56, 44, 'test', 'General Stanley McChrystal, Tantum Collins, David Silverman, Chris Fussell'),
(210, 56, 45, 'test', 'Amazon'),
(211, 56, 46, 'test', '2015'),
(212, 57, 44, 'test', 'Napoleon Hill'),
(213, 57, 45, 'test', 'Amazon'),
(214, 57, 46, 'test', '2014');
/*!40000 ALTER TABLE `item_field` ENABLE KEYS */;
-- Dumping data for table item-inventory-db.item_tag: ~28 rows (approximately)
/*!40000 ALTER TABLE `item_tag` DISABLE KEYS */;
INSERT INTO `item_tag` (`id`, `item_id`, `tag_id`, `username`) VALUES
(44, 30, 28, 'test'),
(46, 30, 29, 'test'),
(45, 30, 30, 'test'),
(48, 31, 28, 'test'),
(49, 31, 30, 'test'),
(47, 31, 31, 'test'),
(50, 32, 32, 'test'),
(52, 33, 30, 'test'),
(53, 33, 33, 'test'),
(51, 33, 34, 'test'),
(54, 34, 35, 'test'),
(55, 34, 36, 'test'),
(57, 35, 37, 'test'),
(56, 35, 38, 'test'),
(60, 36, 28, 'test'),
(61, 36, 30, 'test'),
(59, 36, 31, 'test'),
(58, 36, 35, 'test'),
(62, 37, 28, 'test'),
(63, 37, 30, 'test'),
(67, 38, 28, 'test'),
(70, 38, 30, 'test'),
(66, 38, 31, 'test'),
(65, 38, 35, 'test'),
(69, 38, 37, 'test'),
(64, 38, 38, 'test'),
(68, 38, 39, 'test'),
(71, 39, 34, 'test'),
(75, 43, 43, 'test'),
(76, 43, 46, 'test'),
(77, 44, 43, 'test'),
(78, 44, 46, 'test'),
(79, 45, 44, 'test'),
(80, 45, 46, 'test'),
(81, 46, 44, 'test'),
(82, 46, 46, 'test'),
(83, 47, 43, 'test'),
(84, 47, 46, 'test'),
(85, 48, 43, 'test'),
(86, 48, 46, 'test'),
(88, 49, 43, 'test'),
(87, 49, 47, 'test'),
(90, 50, 43, 'test'),
(89, 50, 47, 'test'),
(92, 51, 43, 'test'),
(91, 51, 47, 'test'),
(94, 52, 43, 'test'),
(93, 52, 47, 'test'),
(96, 53, 43, 'test'),
(95, 53, 47, 'test'),
(97, 54, 44, 'test'),
(98, 54, 47, 'test'),
(99, 55, 45, 'test'),
(100, 55, 47, 'test'),
(101, 56, 45, 'test'),
(102, 56, 46, 'test'),
(103, 57, 45, 'test'),
(104, 57, 46, 'test');
/*!40000 ALTER TABLE `item_tag` ENABLE KEYS */;
-- Dumping data for table item-inventory-db.item_type: ~2 rows (approximately)
/*!40000 ALTER TABLE `item_type` DISABLE KEYS */;
INSERT INTO `item_type` (`id`, `name`, `username`) VALUES
(16, 'Book', 'test'),
(14, 'Tech Company', 'test');
/*!40000 ALTER TABLE `item_type` ENABLE KEYS */;
-- Dumping data for table item-inventory-db.tag: ~12 rows (approximately)
/*!40000 ALTER TABLE `tag` DISABLE KEYS */;
INSERT INTO `tag` (`id`, `name`, `item_type_id`, `username`) VALUES
(28, 'Electronic Devices', 14, 'test'),
(29, 'Semiconductors', 14, 'test'),
(30, 'Personal Computing', 14, 'test'),
(31, 'Consumer Software', 14, 'test'),
(32, 'Components', 14, 'test'),
(33, 'Servers', 14, 'test'),
(34, 'Consulting', 14, 'test'),
(35, 'Computing Services', 14, 'test'),
(36, 'Mainframes', 14, 'test'),
(37, 'Internet Retailer', 14, 'test'),
(38, 'App Hosting', 14, 'test'),
(39, 'Internet Advertising', 14, 'test'),
(43, 'Paperback', 16, 'test'),
(44, 'Hardcover', 16, 'test'),
(45, 'Audiobook', 16, 'test'),
(46, 'Want', 16, 'test'),
(47, 'Own', 16, 'test');
/*!40000 ALTER TABLE `tag` ENABLE KEYS */;
/*!40101 SET SQL_MODE = IFNULL(@OLD_SQL_MODE, '') */;
/*!40014 SET FOREIGN_KEY_CHECKS = IF(@OLD_FOREIGN_KEY_CHECKS IS NULL, 1, @OLD_FOREIGN_KEY_CHECKS) */;
/*!40101 SET CHARACTER_SET_CLIENT = @OLD_CHARACTER_SET_CLIENT */;
|
--修改人：胡双
--修改日期：2012-08-07
--修改内容1：新增“承兑汇票月对账”菜单
--修改内容2：新增表"MONTH_RECONCILE" 承兑汇票月对账功能需要用到
--修改原因：新增功能月对账须存储对账状态
--新增“承兑汇票月对账”菜单
INSERT INTO BT_SYS_RES
(RES_CODE,RES_NAME,SYS_CODE,FATHER_CODE,RES_URL,FUNC_FLAG,RES_TYPE,LINK_TARGET,STATUS,RES_ORDER,RES_LEVEL)
VALUES
((SELECT MAX(RES_CODE) + 1 FROM BT_SYS_RES),
'承兑汇票月对账','ads',151,'/AB/monthReconci.do?method=treeView','0','1','0','0','10','2');
--新增表"MONTH_RECONCILE" 承兑汇票月对账功能需要用到
CREATE TABLE MONTH_RECONCILE(
ID NUMBER(28) NOT NULL , --主键
CORP_ID NUMBER(10) , --单位ID
YEAR NUMBER(4) , --年份
MONTH NUMBER(2) , --月份
START_DATE DATE , --对账开始日期
END_DATE DATE , --对账结束日期
STATUS NUMBER , --对账状态
CONSTRAINT PK_MONTH_RECONCILE PRIMARY KEY (ID)
); |
CREATE procedure sp_modify_SubChannel(@SubChannelTypeID INT,@ACTIVE INT)
AS
update subchannel set Active = @ACTIVE where SubChannelID = @SubChannelTypeID
|
INSERT INTO `publishs` (`issued`,`client`,`user`,`topic`) VALUES (now(),?,?,?); |
<서브 쿼리 - 다중 행, 다중 열>
A) 다중 행 : 여러 개 행이 검색
단일 행 서브쿼리와 구조는 같으나 사용 연산자가 다르다
단일 행은 =, != 를 사용한다
다중 행은 IN : 검색된 값 중에 하나가 일치하면 참
ANY : 검색된 값 중에 조건이 하나 이상 맞으면 참
ALL : 검색된 값들과 모두 조건에 맞으면 참
1) 20번 부서원들과 동일한 관리자로부터 관리받는 사원을 검색하세요
SELECT *
FROM EMP
WHERE MGR IN (SELECT MGR
FROM EMP
WHERE DNO = '20')
AND DNO != '20';
2) 10번 부서원들보다 급여가 낮은 사원을 검색하세요
SELECT ENO, ENAME, DNO
FROM EMP
WHERE SAL < ALL(SELECT SAL
FROM EMP
WHERE DNO = '10')
AND DNO!='10';
SELECT ENO, ENAME, DNO
FROM EMP
WHERE SAL < (SELECT MIN(SAL)
FROM EMP
WHERE DNO = '10')
AND DNO!='10';
3) 20번 부서원들과 보너스가 같은 사원을 검색하세요
SELECT ENO, ENAME, DNO, COMM
FROM EMP
WHERE COMM IN (SELECT COMM
FROM EMP
WHERE DNO = '20')
AND DNO != '20';
--NULL 이 포함된 경우는 0으로 치환할지 결정하자
SELECT ENO, ENAME, DNO, COMM
FROM EMP
WHERE NVL(COMM, 0) IN (SELECT NVL(COMM, 0)
FROM EMP
WHERE DNO = '20')
AND DNO != '20';
<다중 열 서브쿼리>
; 여러 개 컬럼 항목이 검색되는 것
; IN 연산자를 사용한다
4)손하늘과 동일한 관리자의 관리를 받으면서 업무도 같은 사원을 검색하세요
다중열일 경우 IN을 사용하면 모든 열이 만족되는 경우를 찾는다
SELECT ENO, ENAME , MGR, JOB
FROM EMP
WHERE (MGR, JOB) IN (SELECT MGR, JOB
FROM EMP
WHERE ENAME = '손하늘')
AND ENAME != '손하늘';
--아래는 위 문제의 답은 아니다
SELECT ENO, ENAME, MGR, JOB
FROM EMP
WHERE MGR IN (SELECT MGR
FROM EMP
WHERE ENAME = '손하늘')
AND JOB IN (SELECT JOB
FROM EMP
WHERE ENAME = '손하늘')
AND ENAME != '손하늘';
5) 각 부서별로 최소 급여를 받는 사원의 정보를 검색하세요
-- (이름, 급여)
SELECT DNO, ENAME, SAL
FROM EMP
WHERE (DNO, SAL) IN (SELECT DNO, MIN(SAL)
FROM EMP
GROUP BY DNO)
ORDER BY DNO; |
/* Insere uma quantidade X de registros na tabela funcionario*/
CREATE OR REPLACE PROCEDURE SP_INSERIR_FUNCIONARIOS
(
PQTDE_REG INTEGER
)
AS
vCONT INTEGER;
VSEXO CHAR;
VESTADOCIVIL CHAR;
BEGIN
VCONT := 1;
VSEXO := 'M';
vEstadoCivil := 'S';
WHILE (VCONT < PQTDE_REG) LOOP
INSERT INTO TB_FUNCIONARIO VALUES
( VCONT,
'EMPREGADO' || vCONT,
'AVENIDA DAS AMERICAS',
0,
'S/N',
'MUSSURUNGA',
1,
'40000000',
'EM FRENTE AO ESPORTE CLUBE MUSSURUNGA',
'7134560969',
'ESPORTECLUBEMUSURUNGA@MUSSURUNGA.COM.BR',
VSEXO,
vEstadoCivil,
to_date('01/01/1980', 'dd/mm/yyyy'),
'12345678901',
to_date('01/01/2000', 'dd/mm/yyyy'),
NULL
);
IF (vEstadoCivil = 'S') THEN
vEstadoCivil := 'C';
ELSE
vEstadoCivil := 'S';
END IF;
IF (vCont in (10, 100, 300, 500, 700, 1000, 1500, 2000, 4000, 6500)) THEN
vSEXO := 'M';
ELSE
vSEXO := 'F';
END IF;
VCONT := VCONT +1;
END LOOP;
END;
/* Insere uma quantidade X de registros na tabela historico para os
funcionarios jŠ cadastrados. Do ano de 2010*/
CREATE OR REPLACE PROCEDURE SP_INSERIR_HISTORICO
AS
VANO INTEGER;
VMES INTEGER;
vCARGO INTEGER;
VSETOR INTEGER;
vSALARIO INTEGER;
VHORAS INTEGER;
BEGIN
VANO := 2010;
vMES := 1;
VCARGO := 1;
VSETOR := 1;
VSALARIO := 3500;
vHORAS := 120;
WHILE (vANO <= 2010) LOOP
WHILE (vMES < 13) LOOP
INSERT INTO TB_HISTORICO
SELECT
VANO,
vMES,
MATRICULA,
vCARGO,
VSETOR,
vHORAS,
VSALARIO
FROM TB_FUNCIONARIO;
VMES := VMES +1;
vSALARIO := vSALARIO +50;
END LOOP;
VANO := VANO +1;
VCARGO := VCARGO +1;
VSETOR := VSETOR +1;
vMES := 1;
IF (VHORAS = 120) THEN
VHORAS := 180;
ELSE
IF (VHORAS = 180) THEN
vHORAS := 220;
ELSE
vHORAS := 120;
END IF;
END IF;
END LOOP;
END;
|
--문제1.
select em.employee_id,
em.first_name,
em.last_name,
dp.department_name
from employees em,departments dp
where em.department_id=dp.department_id
order by dp.department_name asc, em.employee_id desc;
--문제2.
select em.employee_id,
em.first_name,
em.salary,
dp.department_name,
jb.job_title
from employees em,departments dp,jobs jb
where em.department_id=dp.department_id
and em.job_id=jb.job_id
order by em.employee_id asc;
--문제2-1.
select em.employee_id,
em.first_name,
em.salary,
dp.department_name,
jb.job_title
from employees em,departments dp,jobs jb
where em.department_id=dp.department_id(+)
and em.job_id=jb.job_id
order by em.employee_id asc;
--문제3.
select lo.location_id,
lo.city,
dp.department_name,
dp.department_id
from locations lo,departments dp
where lo.location_id=dp.location_id
order by lo.location_id asc;
--문제3-1.
select lo.location_id,
lo.city,
dp.department_name,
dp.department_id
from locations lo,departments dp
where lo.location_id=dp.location_id(+)
order by lo.location_id asc;
--문제4.
select rg.region_name,
cn.country_name
from countries cn,regions rg
where cn.region_id=rg.region_id
order by rg.region_name asc,cn.country_name desc;
--문제5.
select em.employee_id,
em.first_name,
em.hire_date,
ma.first_name,
ma.hire_date
from employees em,employees ma
where em.manager_id=ma.employee_id
and em.hire_date<ma.hire_date;
--문제6.
select cn.country_name,
cn.country_id,
lo.city,
lo.location_id,
dp.department_name,
dp.department_id
from countries cn,locations lo,departments dp
where cn.country_id=lo.country_id
and lo.location_id=dp.location_id
order by cn.country_name asc;
select *
from employees;
--문제7.
select em.employee_id,
em.first_name||em.last_name,
em.job_id,
jh.job_id,
jh.start_date,
jh.end_date
from employees em,job_history jh
where jh.job_id='AC_ACCOUNT'
and em.employee_id=jh.employee_id;
--문제8.
select dp.department_id,
dp.department_name,
em.first_name,
lo.city,
con.country_name,
rg.region_name
from countries con,employees em,departments dp,locations lo,regions rg
where con.country_id=lo.country_id
and con.region_id=rg.region_id
and lo.location_id=dp.location_id
and dp.manager_id=em.employee_id;
--문제9.
select em.employee_id,
em.first_name,
dp.department_name,
ma.first_name manger_name
from employees em,employees ma,departments dp
where dp.department_id(+)=em.department_id
and em.manager_id=ma.employee_id; |
----- Single nested SQL query for task 5 -----
SELECT chicago.average AS "Average share in Chicago", others.average AS "Average share in other cities"
FROM (SELECT ROUND((SUM(share)/COUNT(robber_id)), 2) AS "average"
FROM accomplices
WHERE accomplices.city = 'Chicago') AS chicago,
(SELECT ROUND((SUM(share)/COUNT(robber_id)), 2) AS "average"
FROM accomplices
WHERE NOT(accomplices.city = 'Chicago')) AS others;
----- EXTRAS: Other approach for task 5 -----
SELECT
ROUND(SUM(CASE WHEN city = 'Chicago'
THEN share ELSE 0 END)/COUNT(CASE WHEN city = 'chicago'
THEN 1 ELSE 0 END), 2) AS "Average share in Chicago",
ROUND(SUM(CASE WHEN NOT (city = 'Chicago')
THEN share ELSE 0 END)/COUNT(CASE WHEN NOT(city = 'chicago')
THEN 1 ELSE 0 END), 2) AS "Average share in other cities"
FROM accomplices
GROUP BY city;
|
CREATE PROCEDURE sp_insert_ChequeInfo( @CHEQUE_BOOK_NAME NVARCHAR(50),
@CHEQUE_START INTEGER,
@TOTAL_LEAVES INTEGER,
@BANKCODE NVARCHAR(10),
@ACCOUNTID INT)
AS
INSERT INTO Cheques( Cheque_Start,
Total_Leaves,
BankCode,
Active,
Cheque_Book_Name,
BankID)
VALUES
( @CHEQUE_START,
@TOTAL_LEAVES,
@BANKCODE,
1,
@CHEQUE_BOOK_NAME,
@ACCOUNTID)
|
drop table "PCDW"."EXP_CFE_CTO_SALES_OFFICE_ALL";
/*
CREATE COLUMN TABLE "PCDW"."EXP_CFE_CTO_SALES_OFFICE_ALL" ("VARIANT" VARCHAR(26) NOT NULL ,
"SALES_ORG" VARCHAR(20) NOT NULL ,
"SALES_OFFICE" VARCHAR(20) NOT NULL ,
"COST_TYPE" NVARCHAR(20),
"CYCLE" VARCHAR(20) NOT NULL ,
"PRODUCTHIER_1" VARCHAR(20) NOT NULL ,
"PRODUCTHIER_2" VARCHAR(20) NOT NULL ,
"PRODUCTHIER_3" VARCHAR(20) NOT NULL ,
"PRODUCTHIER_4" VARCHAR(20) NOT NULL ,
"CURRENCY_NAME" VARCHAR(20),
"PRICE_UNIT" VARCHAR(20),
"M1" DECIMAL(12,
2) CS_FIXED,
"M2" DECIMAL(12,
2) CS_FIXED,
"M3" DECIMAL(12,
2) CS_FIXED,
"M4" DECIMAL(12,
2) CS_FIXED,
"M5" DECIMAL(12,
2) CS_FIXED,
"M6" DECIMAL(12,
2) CS_FIXED,
"M7" DECIMAL(12,
2) CS_FIXED,
"M8" DECIMAL(12,
2) CS_FIXED,
"M9" DECIMAL(12,
2) CS_FIXED,
"M10" DECIMAL(12,
2) CS_FIXED,
"M11" DECIMAL(12,
2) CS_FIXED,
"M12" DECIMAL(12,
2) CS_FIXED,
"PRODUCT_GROUP" VARCHAR(20) NOT NULL ,
"SYS_CREATED_DATE" LONGDATE CS_LONGDATE DEFAULT CURRENT_TIMESTAMP,
"CYCLE_PRODUCTGROUP" VARCHAR(40),
PRIMARY KEY ("VARIANT",
"SALES_ORG",
"SALES_OFFICE",
"PRODUCTHIER_1",
"PRODUCTHIER_2",
"PRODUCTHIER_3",
"PRODUCTHIER_4",
"PRODUCT_GROUP",
"COST_TYPE",
"CYCLE")) UNLOAD PRIORITY 5 AUTO MERGE ;
*/
|
-- --------------- all record select ----------
SELECT *
from ANIMAL_INS
order by ANIMAL_ID asc
-- ------------ reverse sort ---------------
SELECT NAME, DATETIME
from ANIMAL_INS
order by ANIMAL_ID desc
-- ------------ sick animal find --------------
SELECT ANIMAL_ID, NAME
from ANIMAL_INS
where INTAKE_CONDITION = 'Sick'
order by ANIMAL_ID asc
-- -------------- young animal find --------------
SELECT ANIMAL_ID, NAME
from ANIMAL_INS
where INTAKE_CONDITION != 'Aged'
order by ANIMAL_ID asc
-- ---------------- find animal id and name ----------------
SELECT ANIMAL_ID, NAME
from ANIMAL_INS
order by ANIMAL_ID asc
-- ------------- sort using conditions ---------------
SELECT ANIMAL_ID, NAME, DATETIME
from ANIMAL_INS
order by NAME, DATETIME desc
-- ----------- top record limit n --------------------
SELECT NAME
from ANIMAL_INS
order by DATETIME asc limit 1
-- ---------- get max value ---------------------
SELECT max(DATETIME) as 시간
from ANIMAL_INS
-- ---------- get min value ---------------------
SELECT min(DATETIME) as 시간
from ANIMAL_INS
-- ---------- get animal count ---------------
SELECT count(ANIMAL_ID) as count
from ANIMAL_INS
-- ------------ double exception --------------
SELECT count (distinct NAME) as count
from ANIMAL_INS
where NAME != 'NULL'
-- ------------ find animal id missing name -----------
SELECT ANIMAL_ID
from ANIMAL_INS
where NAME is null
-- ------------ find animal id having name -------------
SELECT ANIMAL_ID
from ANIMAL_INS
where NAME is not null
order by ANIMAL_ID
-- ----------- null handling ------------
SELECT
ANIMAL_TYPE,
case
when NAME is NULL then "No name"
else NAME
end as name,
SEX_UPON_INTAKE
from ANIMAL_INS
-- ------------ how many cat and dog ------------
select ANIMAL_TYPE, count(ANIMAL_ID)
from ANIMAL_INS
group by ANIMAL_TYPE
order by ANIMAL_TYPE
-- ---------- find animal which has same name ----------
SELECT NAME, count(ANIMAL_ID) as count
from ANIMAL_INS
group by NAME having NAME != '' and count >=2
order by NAME
-- ----------- find missing tables ---------------
SELECT ANIMAL_OUTS.ANIMAL_ID, ANIMAL_OUTS.NAME
from ANIMAL_OUTS
ANIMAL_OUTS left join ANIMAL_INS
ANIMAL_INS on ANIMAL_OUTS.ANIMAL_ID=ANIMAL_INS.ANIMAL_ID
where ANIMAL_INS.ANIMAL_ID is null
-- --------- find lucy and ella ------------------
SELECT ANIMAL_ID, NAME, SEX_UPON_INTAKE
from ANIMAL_INS
where NAME = 'Lucy' or NAME = 'Ella' or NAME = 'Pickle' or NAME = 'Rogan' or NAME = 'Sabrina' or NAME = 'Mitty'
-- ----------- find name which include 'el' --------------
SELECT ANIMAL_ID, NAME
from ANIMAL_INS
where ANIMAL_TYPE = 'Dog' and NAME like '%el%'
order by name
-- ----------- find sec upon intake ---------------
SELECT ANIMAL_ID, NAME, if(SEX_UPON_INTAKE like 'Intact%', 'X', 'O')
from ANIMAL_INS
order by ANIMAL_ID
-- ----------- change datetype to date --------------
SELECT ANIMAL_ID, NAME, date_format(datetime, '%Y-%m-%d') as 날짜
from ANIMAL_INS
order by ANIMAL_ID
|
DROP TABLE USER;
DROP TABLE BOOKS;
DROP TABLE BIDINGDETAILS;
DROP TABLE BANKINGDETAILS;
DROP TABLE NOTIFICATION:
DROP TABLE FINALBIDING;
DROP TABLE PAYMENT;
DROP TABLE DEPARTMENT;
DROP TABLE RATESERVICE;
DROP VIEW USERDETAILS;
DROP VIEW USERNOTIFICATIONS;
DROP VIEW USERLIST;
DROP TRIGGER RATE_VOILATION; |
CREATE FUNCTION FVDHE()
RETURNS TABLE(
ROOT_VW VARCHAR(255),
LVL VARCHAR(255),
CKEY VARCHAR(255),
TABLE_TEXT VARCHAR(255),
LAST_ALTERED_TIMESTAMP VARCHAR(255),
CVW VARCHAR(255),
CLIB VARCHAR(255)
)
BEGIN
RETURN
WITH RECURSIVE DH
( MVW, MLIB, PLIB , PVW , CLIB, CVW, CKEY, LVL)
AS
(
SELECT
PLIB, PVW, '', '', PLIB, PVW, RTRIM(PLIB)||'.'||RTRIM(PVW), 0
FROM
(SELECT DISTINCT PLIB, PVW FROM RLARP.VVDH) X
UNION ALL
SELECT
DH.MVW, DH.MLIB, DH.CLIB, DH.CVW, VH.CLIB, VH.CVW, RTRIM(VH.CLIB)||'.'||RTRIM(VH.CVW) CKEY, DH.LVL + 1 LVL
FROM
RLARP.VVDH VH
INNER JOIN DH ON
VH.PLIB = DH.CLIB AND
VH.PVW = DH.CVW
WHERE
LVL < 10
)
SEARCH DEPTH FIRST BY CKEY SET ORDCOL
SELECT
RTRIM(MLIB)||'.'||RTRIM(MVW) ROOT_VW,
REPEAT ( '. ' , LVL )||LVL LVL, REPEAT ( '. ' , LVL )||CKEY, TABLE_TEXT, LAST_ALTERED_TIMESTAMP, CVW, CLIB
FROM
DH
LEFT OUTER JOIN RLARP.SYSTABLES T ON
T.TABLE_NAME = CVW AND
T.TABLE_SCHEMA = CLIB
ORDER BY ORDCOL
END; |
/* Создание таблицы автомобилей */
CREATE TABLE /*PREFIX*/CARS
(
CAR_ID VARCHAR(32) NOT NULL,
CAR_TYPE_ID VARCHAR(32) NOT NULL,
STATE_NUM VARCHAR(50) NOT NULL,
CALLSIGN VARCHAR(10),
DESCRIPTION VARCHAR(250),
BRAND VARCHAR(100) NOT NULL,
COLOR VARCHAR(100) NOT NULL,
YEAR_CREATED INTEGER,
PTS VARCHAR(250),
PAYLOAD INTEGER,
AMOUNT INTEGER,
PRIMARY KEY (CAR_ID),
FOREIGN KEY (CAR_TYPE_ID) REFERENCES CAR_TYPES (CAR_TYPE_ID)
)
--
/* Создание просмотра автомобилей */
CREATE VIEW /*PREFIX*/S_CARS
(
CAR_ID,
CAR_TYPE_ID,
STATE_NUM,
CALLSIGN,
DESCRIPTION,
BRAND,
COLOR,
YEAR_CREATED,
PTS,
PAYLOAD,
AMOUNT,
CAR_TYPE_NAME,
CAR_TYPE_FONT_COLOR,
CAR_TYPE_BRUSH_COLOR
)
AS
SELECT C.*,
CT.NAME AS CAR_TYPE_NAME,
CT.FONT_COLOR AS CAR_TYPE_FONT_COLOR,
CT.BRUSH_COLOR AS CAR_TYPE_BRUSH_COLOR
FROM /*PREFIX*/CARS C
JOIN /*PREFIX*/CAR_TYPES CT ON CT.CAR_TYPE_ID=C.CAR_TYPE_ID
--
/* Создание процедуры добавления автомобиля */
CREATE PROCEDURE /*PREFIX*/I_CAR
(
CAR_ID VARCHAR(32),
CAR_TYPE_ID VARCHAR(32),
STATE_NUM VARCHAR(50),
CALLSIGN VARCHAR(10),
DESCRIPTION VARCHAR(250),
BRAND VARCHAR(100),
COLOR VARCHAR(100),
YEAR_CREATED INTEGER,
PTS VARCHAR(250),
PAYLOAD INTEGER,
AMOUNT INTEGER
)
AS
BEGIN
INSERT INTO /*PREFIX*/CARS (CAR_ID,CAR_TYPE_ID,STATE_NUM,CALLSIGN,DESCRIPTION,
BRAND,COLOR,YEAR_CREATED,PTS,PAYLOAD,AMOUNT)
VALUES (:CAR_ID,:CAR_TYPE_ID,:STATE_NUM,:CALLSIGN,:DESCRIPTION,
:BRAND,:COLOR,:YEAR_CREATED,:PTS,:PAYLOAD,:AMOUNT);
END;
--
/* Создание процедуры изменения автомобиля */
CREATE PROCEDURE /*PREFIX*/U_CAR
(
CAR_ID VARCHAR(32),
CAR_TYPE_ID VARCHAR(32),
STATE_NUM VARCHAR(50),
CALLSIGN VARCHAR(10),
DESCRIPTION VARCHAR(250),
BRAND VARCHAR(100),
COLOR VARCHAR(100),
YEAR_CREATED INTEGER,
PTS VARCHAR(250),
PAYLOAD INTEGER,
AMOUNT INTEGER,
OLD_CAR_ID VARCHAR(32)
)
AS
BEGIN
UPDATE /*PREFIX*/CARS
SET CAR_ID=:CAR_ID,
CAR_TYPE_ID=:CAR_TYPE_ID,
STATE_NUM=:STATE_NUM,
CALLSIGN=:CALLSIGN,
DESCRIPTION=:DESCRIPTION,
BRAND=:BRAND,
COLOR=:COLOR,
YEAR_CREATED=:YEAR_CREATED,
PTS=:PTS,
PAYLOAD=:PAYLOAD,
AMOUNT=:AMOUNT
WHERE CAR_ID=:OLD_CAR_ID;
END;
--
/* Создание процедуры удаления автомобиля */
CREATE PROCEDURE /*PREFIX*/D_CAR
(
OLD_CAR_ID VARCHAR(32)
)
AS
BEGIN
DELETE FROM /*PREFIX*/CARS
WHERE CAR_ID=:OLD_CAR_ID;
END;
--
/* Фиксация изменений */
COMMIT |
ALTER TABLE CHATBOT_CUSTOM_CONFIG DROP COLUMN RATING;
ALTER TABLE CHATBOT_CUSTOM_CONFIG DROP COLUMN RATING_MESSAGE;
ALTER TABLE CHATBOT_CUSTOM_CONFIG DROP COLUMN COMMENT;
ALTER TABLE CHATBOT_CUSTOM_CONFIG DROP COLUMN COMMENT_MESSAGE; |
CREATE TABLE `banned` (
`BannedID` int(11) NOT NULL AUTO_INCREMENT,
`IP` varchar(50) NOT NULL,
PRIMARY KEY (`BannedID`),
KEY `index_banned_IP` (`IP`)
) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARSET=latin1;
CREATE PROCEDURE `sp_get_new_banned`(_LastBannedID INT(11))
BEGIN
-- Given the BannedID of the last hacker banned, return the new rows to be added to the list of banned hackers.
SELECT BannedID,IP
FROM banned
WHERE BannedID > _LastBannedID
ORDER BY BannedID;
END |
ALTER TABLE Session DROP COLUMN dtype;
|
SELECT TOP(50)
[Name], FORMAT([Start], 'yyyy-MM-dd') AS [Start]
FROM Games
WHERE YEAR([Start]) IN(2011, 2012)
ORDER BY Games.[Start], [Name] |
-- 产品第一年收入情况
select
s1.product_id, s1.year as 'first_year', s1.quantity, s1.price
from sales1068 s1
group by s1.product_id
having first_year = (select year from sales1068 where product_id = s1.product_id and year = min(s1.year))
|
CREATE TABLE Venta(
idPublicacion int NOT NULL,
PRIMARY KEY (idPublicacion),
FOREIGN KEY (idPublicacion) REFERENCES Publicacion(idPublicacion)
); |
-- colcomm.sql
-- find common columns between a set of tables
-- Jared Still jkstill@gmail.com
-- no spaces allowed
-- @colcom owner1.tab1,owner2.tab2,...
col u_list new_value u_list noprint
prompt
prompt list:
prompt
set feed off term off head off verify off
select '&1' u_list from dual;
set feed on term on head on
set linesize 200 trimspool on
set pagesize 100
col idx format 999
col string format a40
col lft format a40
col rght format a40
col cloc format 999999
col val format a30
col table_owner format a30
col table_name format a30
col tab_list format a31 wrap
with csv (idx,string,cloc,val,rght) as (
select
0 as idx
, t.string
, instr('&u_list',',') cloc
, substr(t.string,1,instr('&u_list',',') -1) val
, substr(t.string,instr('&u_list',',')) rght
from (select upper(regexp_replace('&u_list','\s+','')) string from dual) t
union all
select
csv.idx + 1 as idx
, csv.string
, instr(csv.rght,',') cloc
,
case
when instr(csv.rght,',') != instr(csv.rght,',', -1) -- last two elements will 'val,val'
then substr
(
csv.rght, -- string
instr(csv.rght,',')+1, -- start
instr(csv.rght,',', instr(csv.rght,',')+1) - instr(csv.rght,',') -1 -- length
)
else substr(csv.rght,instr(csv.rght,',')+1)
end val
,
case when instr(csv.rght,',') > 0
then substr(csv.rght,instr(csv.rght,',')+1)
else''
end rght
from csv
where instr(csv.rght,',') > 0
),
tabs as (
select
substr(val,1,instr(val,'.')-1) table_owner
, substr(val,instr(val,'.')+1) table_name
from csv
)
select
--tabs.table_owner
--, tabs.table_name
tc.column_name
, count(*) occurrences
, listagg(dt.object_name,', ') within group (order by dt.object_name) tab_list
from tabs
, dba_objects dt
, dba_tab_columns tc
where dt.owner = tabs.table_owner
and dt.object_name = tabs.table_name
and tc.owner = dt.owner
and tc.table_name = dt.object_name
and dt.object_type in ('TABLE','VIEW')
group by column_name
having count(*) > 1
order by column_name
/
|
CREATE OR ALTER PROCEDURE T7Library.GetPasswordHash
@Username NVARCHAR(32)
AS
SELECT PasswordHash
FROM T7Library.Librarian
WHERE Username = @Username |
-- Table: nivel_carrera
-- DROP TABLE nivel_carrera;
CREATE TABLE nivel_carrera
(
id_nivel_carrera serial NOT NULL primary key,
nombre_nivel_carrera character varying
);
INSERT INTO nivel_carrera(id_nivel_carrera,nombre_nivel_carrera)VALUES(1,'Grado');
INSERT INTO nivel_carrera(id_nivel_carrera,nombre_nivel_carrera)VALUES(2,'Posgrado');
INSERT INTO nivel_carrera(id_nivel_carrera,nombre_nivel_carrera)VALUES(3,'Pregrado');
|
-- phpMyAdmin SQL Dump
-- version 4.5.1
-- http://www.phpmyadmin.net
--
-- Host: 127.0.0.1
-- Generation Time: Apr 22, 2016 at 06:31 AM
-- Server version: 10.1.9-MariaDB
-- PHP Version: 5.6.15
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `document_search_engine`
--
-- --------------------------------------------------------
--
-- Table structure for table `document_table`
--
CREATE TABLE `document_table` (
`document_id` int(11) NOT NULL,
`document_name` varchar(100) NOT NULL,
`document_url` varchar(200) NOT NULL,
`document_thumbnail_url` varchar(200) NOT NULL,
`document_author` varchar(100) DEFAULT NULL,
`document_tag` varchar(200) DEFAULT NULL,
`create_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
`update_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `document_table`
--
INSERT INTO `document_table` (`document_id`, `document_name`, `document_url`, `document_thumbnail_url`, `document_author`, `document_tag`, `create_time`, `update_time`) VALUES
(17, 'hadoop', '57191d171c335_17document.pdf', '57191a90186d7_17_document_thumbnail.png', 'hortonworks', 'Software Tools,DBMS', '2016-04-21 18:23:11', '2016-04-21 18:33:59'),
(20, 'fbhackercup', '5719a59655945_20document.pdf', '5719a59675c38_20_document_thumbnail.jpg', 'facebook', 'Information Security', '2016-04-22 04:16:22', '2016-04-22 04:16:22'),
(21, 'srs', '5719a7dc74fff_21document.pdf', '5719a7a810d73_21_document_thumbnail.png', 'nirmal', 'Software Tools', '2016-04-22 04:25:11', '2016-04-22 04:26:04');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `document_table`
--
ALTER TABLE `document_table`
ADD PRIMARY KEY (`document_id`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `document_table`
--
ALTER TABLE `document_table`
MODIFY `document_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=22;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
--
-- PostgreSQL database dump
--
-- Dumped from database version 10.14
-- Dumped by pg_dump version 10.14
-- Started on 2021-01-07 18:24:30
SET statement_timeout = 0;
SET lock_timeout = 0;
SET idle_in_transaction_session_timeout = 0;
SET client_encoding = 'UTF8';
SET standard_conforming_strings = on;
SELECT pg_catalog.set_config('search_path', '', false);
SET check_function_bodies = false;
SET xmloption = content;
SET client_min_messages = warning;
SET row_security = off;
--
-- TOC entry 196 (class 1259 OID 18409)
-- Name: actor_actor_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE public.actor_actor_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE public.actor_actor_id_seq OWNER TO postgres;
SET default_tablespace = '';
SET default_with_oids = false;
--
-- TOC entry 197 (class 1259 OID 18411)
-- Name: actor; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE public.actor (
actor_id integer DEFAULT nextval('public.actor_actor_id_seq'::regclass) NOT NULL,
first_name character varying(45) NOT NULL,
last_name character varying(45) NOT NULL,
last_update date DEFAULT now()
);
ALTER TABLE public.actor OWNER TO postgres;
--
-- TOC entry 198 (class 1259 OID 18416)
-- Name: address_address_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE public.address_address_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE public.address_address_id_seq OWNER TO postgres;
--
-- TOC entry 199 (class 1259 OID 18418)
-- Name: address; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE public.address (
address_id integer DEFAULT nextval('public.address_address_id_seq'::regclass) NOT NULL,
address character varying(50) NOT NULL,
address2 character varying(50),
district character varying(20) NOT NULL,
city_id smallint NOT NULL,
postal_code character varying(10),
phone character varying(20) NOT NULL,
last_update date DEFAULT now()
);
ALTER TABLE public.address OWNER TO postgres;
--
-- TOC entry 200 (class 1259 OID 18423)
-- Name: category_category_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE public.category_category_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE public.category_category_id_seq OWNER TO postgres;
--
-- TOC entry 201 (class 1259 OID 18425)
-- Name: category; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE public.category (
category_id integer DEFAULT nextval('public.category_category_id_seq'::regclass) NOT NULL,
name character varying(25) NOT NULL,
last_update date DEFAULT now()
);
ALTER TABLE public.category OWNER TO postgres;
--
-- TOC entry 202 (class 1259 OID 18430)
-- Name: city_city_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE public.city_city_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE public.city_city_id_seq OWNER TO postgres;
--
-- TOC entry 203 (class 1259 OID 18432)
-- Name: city; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE public.city (
city_id integer DEFAULT nextval('public.city_city_id_seq'::regclass) NOT NULL,
city character varying(50) NOT NULL,
country_id smallint NOT NULL,
last_update date DEFAULT now()
);
ALTER TABLE public.city OWNER TO postgres;
--
-- TOC entry 204 (class 1259 OID 18437)
-- Name: country_country_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE public.country_country_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE public.country_country_id_seq OWNER TO postgres;
--
-- TOC entry 205 (class 1259 OID 18439)
-- Name: country; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE public.country (
country_id integer DEFAULT nextval('public.country_country_id_seq'::regclass) NOT NULL,
country character varying(50) NOT NULL,
last_update date DEFAULT now()
);
ALTER TABLE public.country OWNER TO postgres;
--
-- TOC entry 206 (class 1259 OID 18444)
-- Name: customer_customer_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE public.customer_customer_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE public.customer_customer_id_seq OWNER TO postgres;
--
-- TOC entry 207 (class 1259 OID 18446)
-- Name: customer; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE public.customer (
customer_id integer DEFAULT nextval('public.customer_customer_id_seq'::regclass) NOT NULL,
store_id smallint NOT NULL,
first_name character varying(45) NOT NULL,
last_name character varying(45) NOT NULL,
email character varying(50),
address_id smallint NOT NULL,
activebool boolean DEFAULT true NOT NULL,
create_date date DEFAULT ('now'::text)::date NOT NULL,
last_update date DEFAULT now(),
active integer
);
ALTER TABLE public.customer OWNER TO postgres;
--
-- TOC entry 208 (class 1259 OID 18453)
-- Name: film_film_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE public.film_film_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE public.film_film_id_seq OWNER TO postgres;
--
-- TOC entry 209 (class 1259 OID 18455)
-- Name: film; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE public.film (
film_id integer DEFAULT nextval('public.film_film_id_seq'::regclass) NOT NULL,
title character varying(255) NOT NULL,
description text,
release_year integer,
language_id smallint NOT NULL,
rental_duration smallint DEFAULT 3 NOT NULL,
rental_rate numeric(4,2) DEFAULT 4.99 NOT NULL,
length smallint,
replacement_cost numeric(5,2) DEFAULT 19.99 NOT NULL,
rating character varying(255),
last_update date DEFAULT now()
);
ALTER TABLE public.film OWNER TO postgres;
--
-- TOC entry 210 (class 1259 OID 18466)
-- Name: film_actor; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE public.film_actor (
actor_id integer NOT NULL,
film_id integer NOT NULL,
last_update date DEFAULT now()
);
ALTER TABLE public.film_actor OWNER TO postgres;
--
-- TOC entry 211 (class 1259 OID 18470)
-- Name: film_category; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE public.film_category (
film_id integer NOT NULL,
category_id integer NOT NULL,
last_update date DEFAULT now()
);
ALTER TABLE public.film_category OWNER TO postgres;
--
-- TOC entry 212 (class 1259 OID 18474)
-- Name: inventory_inventory_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE public.inventory_inventory_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE public.inventory_inventory_id_seq OWNER TO postgres;
--
-- TOC entry 213 (class 1259 OID 18476)
-- Name: inventory; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE public.inventory (
inventory_id integer DEFAULT nextval('public.inventory_inventory_id_seq'::regclass) NOT NULL,
film_id smallint NOT NULL,
store_id smallint NOT NULL,
last_update date DEFAULT now()
);
ALTER TABLE public.inventory OWNER TO postgres;
--
-- TOC entry 214 (class 1259 OID 18481)
-- Name: language_language_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE public.language_language_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE public.language_language_id_seq OWNER TO postgres;
--
-- TOC entry 215 (class 1259 OID 18483)
-- Name: language; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE public.language (
language_id integer DEFAULT nextval('public.language_language_id_seq'::regclass) NOT NULL,
name character varying NOT NULL,
last_update date DEFAULT now()
);
ALTER TABLE public.language OWNER TO postgres;
--
-- TOC entry 216 (class 1259 OID 18488)
-- Name: payment_payment_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE public.payment_payment_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE public.payment_payment_id_seq OWNER TO postgres;
--
-- TOC entry 217 (class 1259 OID 18490)
-- Name: payment; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE public.payment (
payment_id integer DEFAULT nextval('public.payment_payment_id_seq'::regclass) NOT NULL,
customer_id smallint NOT NULL,
staff_id smallint NOT NULL,
rental_id integer NOT NULL,
amount numeric(5,2) NOT NULL,
payment_date date
);
ALTER TABLE public.payment OWNER TO postgres;
--
-- TOC entry 218 (class 1259 OID 18494)
-- Name: rental_rental_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE public.rental_rental_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE public.rental_rental_id_seq OWNER TO postgres;
--
-- TOC entry 219 (class 1259 OID 18496)
-- Name: rental; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE public.rental (
rental_id integer DEFAULT nextval('public.rental_rental_id_seq'::regclass) NOT NULL,
rental_date date DEFAULT now(),
inventory_id integer NOT NULL,
customer_id smallint NOT NULL,
return_date date DEFAULT now(),
staff_id smallint NOT NULL,
last_update date DEFAULT now()
);
ALTER TABLE public.rental OWNER TO postgres;
--
-- TOC entry 220 (class 1259 OID 18501)
-- Name: staff_staff_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE public.staff_staff_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE public.staff_staff_id_seq OWNER TO postgres;
--
-- TOC entry 221 (class 1259 OID 18503)
-- Name: staff; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE public.staff (
staff_id integer DEFAULT nextval('public.staff_staff_id_seq'::regclass) NOT NULL,
first_name character varying(45) NOT NULL,
last_name character varying(45) NOT NULL,
address_id smallint NOT NULL,
email character varying(50),
store_id smallint NOT NULL,
active boolean DEFAULT true NOT NULL,
username character varying(16) NOT NULL,
password character varying(40),
last_update date DEFAULT now()
);
ALTER TABLE public.staff OWNER TO postgres;
--
-- TOC entry 222 (class 1259 OID 18512)
-- Name: store_store_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE public.store_store_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE public.store_store_id_seq OWNER TO postgres;
--
-- TOC entry 223 (class 1259 OID 18514)
-- Name: store; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE public.store (
store_id integer DEFAULT nextval('public.store_store_id_seq'::regclass) NOT NULL,
manager_staff_id smallint NOT NULL,
address_id smallint NOT NULL,
last_update date DEFAULT now()
);
ALTER TABLE public.store OWNER TO postgres;
--
-- TOC entry 2973 (class 0 OID 18411)
-- Dependencies: 197
-- Data for Name: actor; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY public.actor (actor_id, first_name, last_name, last_update) FROM stdin;
1 Penelope Guiness 2013-05-26 14:47:57.62
2 Nick Wahlberg 2013-05-26 14:47:57.62
3 Ed Chase 2013-05-26 14:47:57.62
4 Jennifer Davis 2013-05-26 14:47:57.62
5 Johnny Lollobrigida 2013-05-26 14:47:57.62
6 Bette Nicholson 2013-05-26 14:47:57.62
7 Grace Mostel 2013-05-26 14:47:57.62
8 Matthew Johansson 2013-05-26 14:47:57.62
9 Joe Swank 2013-05-26 14:47:57.62
10 Christian Gable 2013-05-26 14:47:57.62
11 Zero Cage 2013-05-26 14:47:57.62
12 Karl Berry 2013-05-26 14:47:57.62
13 Uma Wood 2013-05-26 14:47:57.62
14 Vivien Bergen 2013-05-26 14:47:57.62
15 Cuba Olivier 2013-05-26 14:47:57.62
16 Fred Costner 2013-05-26 14:47:57.62
17 Helen Voight 2013-05-26 14:47:57.62
18 Dan Torn 2013-05-26 14:47:57.62
19 Bob Fawcett 2013-05-26 14:47:57.62
20 Lucille Tracy 2013-05-26 14:47:57.62
21 Kirsten Paltrow 2013-05-26 14:47:57.62
22 Elvis Marx 2013-05-26 14:47:57.62
23 Sandra Kilmer 2013-05-26 14:47:57.62
24 Cameron Streep 2013-05-26 14:47:57.62
25 Kevin Bloom 2013-05-26 14:47:57.62
26 Rip Crawford 2013-05-26 14:47:57.62
27 Julia Mcqueen 2013-05-26 14:47:57.62
28 Woody Hoffman 2013-05-26 14:47:57.62
29 Alec Wayne 2013-05-26 14:47:57.62
30 Sandra Peck 2013-05-26 14:47:57.62
31 Sissy Sobieski 2013-05-26 14:47:57.62
32 Tim Hackman 2013-05-26 14:47:57.62
33 Milla Peck 2013-05-26 14:47:57.62
34 Audrey Olivier 2013-05-26 14:47:57.62
35 Judy Dean 2013-05-26 14:47:57.62
36 Burt Dukakis 2013-05-26 14:47:57.62
37 Val Bolger 2013-05-26 14:47:57.62
38 Tom Mckellen 2013-05-26 14:47:57.62
39 Goldie Brody 2013-05-26 14:47:57.62
40 Johnny Cage 2013-05-26 14:47:57.62
41 Jodie Degeneres 2013-05-26 14:47:57.62
42 Tom Miranda 2013-05-26 14:47:57.62
43 Kirk Jovovich 2013-05-26 14:47:57.62
44 Nick Stallone 2013-05-26 14:47:57.62
45 Reese Kilmer 2013-05-26 14:47:57.62
46 Parker Goldberg 2013-05-26 14:47:57.62
47 Julia Barrymore 2013-05-26 14:47:57.62
48 Frances Day-Lewis 2013-05-26 14:47:57.62
49 Anne Cronyn 2013-05-26 14:47:57.62
50 Natalie Hopkins 2013-05-26 14:47:57.62
51 Gary Phoenix 2013-05-26 14:47:57.62
52 Carmen Hunt 2013-05-26 14:47:57.62
53 Mena Temple 2013-05-26 14:47:57.62
54 Penelope Pinkett 2013-05-26 14:47:57.62
55 Fay Kilmer 2013-05-26 14:47:57.62
56 Dan Harris 2013-05-26 14:47:57.62
57 Jude Cruise 2013-05-26 14:47:57.62
58 Christian Akroyd 2013-05-26 14:47:57.62
59 Dustin Tautou 2013-05-26 14:47:57.62
60 Henry Berry 2013-05-26 14:47:57.62
61 Christian Neeson 2013-05-26 14:47:57.62
62 Jayne Neeson 2013-05-26 14:47:57.62
63 Cameron Wray 2013-05-26 14:47:57.62
64 Ray Johansson 2013-05-26 14:47:57.62
65 Angela Hudson 2013-05-26 14:47:57.62
66 Mary Tandy 2013-05-26 14:47:57.62
67 Jessica Bailey 2013-05-26 14:47:57.62
68 Rip Winslet 2013-05-26 14:47:57.62
69 Kenneth Paltrow 2013-05-26 14:47:57.62
70 Michelle Mcconaughey 2013-05-26 14:47:57.62
71 Adam Grant 2013-05-26 14:47:57.62
72 Sean Williams 2013-05-26 14:47:57.62
73 Gary Penn 2013-05-26 14:47:57.62
74 Milla Keitel 2013-05-26 14:47:57.62
75 Burt Posey 2013-05-26 14:47:57.62
76 Angelina Astaire 2013-05-26 14:47:57.62
77 Cary Mcconaughey 2013-05-26 14:47:57.62
78 Groucho Sinatra 2013-05-26 14:47:57.62
79 Mae Hoffman 2013-05-26 14:47:57.62
80 Ralph Cruz 2013-05-26 14:47:57.62
81 Scarlett Damon 2013-05-26 14:47:57.62
82 Woody Jolie 2013-05-26 14:47:57.62
83 Ben Willis 2013-05-26 14:47:57.62
84 James Pitt 2013-05-26 14:47:57.62
85 Minnie Zellweger 2013-05-26 14:47:57.62
143 River Dean 2013-05-26 14:47:57.62
86 Greg Chaplin 2013-05-26 14:47:57.62
87 Spencer Peck 2013-05-26 14:47:57.62
88 Kenneth Pesci 2013-05-26 14:47:57.62
89 Charlize Dench 2013-05-26 14:47:57.62
90 Sean Guiness 2013-05-26 14:47:57.62
91 Christopher Berry 2013-05-26 14:47:57.62
92 Kirsten Akroyd 2013-05-26 14:47:57.62
93 Ellen Presley 2013-05-26 14:47:57.62
94 Kenneth Torn 2013-05-26 14:47:57.62
95 Daryl Wahlberg 2013-05-26 14:47:57.62
96 Gene Willis 2013-05-26 14:47:57.62
97 Meg Hawke 2013-05-26 14:47:57.62
98 Chris Bridges 2013-05-26 14:47:57.62
99 Jim Mostel 2013-05-26 14:47:57.62
100 Spencer Depp 2013-05-26 14:47:57.62
101 Susan Davis 2013-05-26 14:47:57.62
102 Walter Torn 2013-05-26 14:47:57.62
103 Matthew Leigh 2013-05-26 14:47:57.62
104 Penelope Cronyn 2013-05-26 14:47:57.62
105 Sidney Crowe 2013-05-26 14:47:57.62
106 Groucho Dunst 2013-05-26 14:47:57.62
107 Gina Degeneres 2013-05-26 14:47:57.62
108 Warren Nolte 2013-05-26 14:47:57.62
109 Sylvester Dern 2013-05-26 14:47:57.62
110 Susan Davis 2013-05-26 14:47:57.62
111 Cameron Zellweger 2013-05-26 14:47:57.62
112 Russell Bacall 2013-05-26 14:47:57.62
113 Morgan Hopkins 2013-05-26 14:47:57.62
114 Morgan Mcdormand 2013-05-26 14:47:57.62
115 Harrison Bale 2013-05-26 14:47:57.62
116 Dan Streep 2013-05-26 14:47:57.62
117 Renee Tracy 2013-05-26 14:47:57.62
118 Cuba Allen 2013-05-26 14:47:57.62
119 Warren Jackman 2013-05-26 14:47:57.62
120 Penelope Monroe 2013-05-26 14:47:57.62
121 Liza Bergman 2013-05-26 14:47:57.62
122 Salma Nolte 2013-05-26 14:47:57.62
123 Julianne Dench 2013-05-26 14:47:57.62
124 Scarlett Bening 2013-05-26 14:47:57.62
125 Albert Nolte 2013-05-26 14:47:57.62
126 Frances Tomei 2013-05-26 14:47:57.62
127 Kevin Garland 2013-05-26 14:47:57.62
128 Cate Mcqueen 2013-05-26 14:47:57.62
129 Daryl Crawford 2013-05-26 14:47:57.62
130 Greta Keitel 2013-05-26 14:47:57.62
131 Jane Jackman 2013-05-26 14:47:57.62
132 Adam Hopper 2013-05-26 14:47:57.62
133 Richard Penn 2013-05-26 14:47:57.62
134 Gene Hopkins 2013-05-26 14:47:57.62
135 Rita Reynolds 2013-05-26 14:47:57.62
136 Ed Mansfield 2013-05-26 14:47:57.62
137 Morgan Williams 2013-05-26 14:47:57.62
138 Lucille Dee 2013-05-26 14:47:57.62
139 Ewan Gooding 2013-05-26 14:47:57.62
140 Whoopi Hurt 2013-05-26 14:47:57.62
141 Cate Harris 2013-05-26 14:47:57.62
142 Jada Ryder 2013-05-26 14:47:57.62
144 Angela Witherspoon 2013-05-26 14:47:57.62
145 Kim Allen 2013-05-26 14:47:57.62
146 Albert Johansson 2013-05-26 14:47:57.62
147 Fay Winslet 2013-05-26 14:47:57.62
148 Emily Dee 2013-05-26 14:47:57.62
149 Russell Temple 2013-05-26 14:47:57.62
150 Jayne Nolte 2013-05-26 14:47:57.62
151 Geoffrey Heston 2013-05-26 14:47:57.62
152 Ben Harris 2013-05-26 14:47:57.62
153 Minnie Kilmer 2013-05-26 14:47:57.62
154 Meryl Gibson 2013-05-26 14:47:57.62
155 Ian Tandy 2013-05-26 14:47:57.62
156 Fay Wood 2013-05-26 14:47:57.62
157 Greta Malden 2013-05-26 14:47:57.62
158 Vivien Basinger 2013-05-26 14:47:57.62
159 Laura Brody 2013-05-26 14:47:57.62
160 Chris Depp 2013-05-26 14:47:57.62
161 Harvey Hope 2013-05-26 14:47:57.62
162 Oprah Kilmer 2013-05-26 14:47:57.62
163 Christopher West 2013-05-26 14:47:57.62
164 Humphrey Willis 2013-05-26 14:47:57.62
165 Al Garland 2013-05-26 14:47:57.62
166 Nick Degeneres 2013-05-26 14:47:57.62
167 Laurence Bullock 2013-05-26 14:47:57.62
168 Will Wilson 2013-05-26 14:47:57.62
169 Kenneth Hoffman 2013-05-26 14:47:57.62
170 Mena Hopper 2013-05-26 14:47:57.62
171 Olympia Pfeiffer 2013-05-26 14:47:57.62
172 Groucho Williams 2013-05-26 14:47:57.62
173 Alan Dreyfuss 2013-05-26 14:47:57.62
174 Michael Bening 2013-05-26 14:47:57.62
175 William Hackman 2013-05-26 14:47:57.62
176 Jon Chase 2013-05-26 14:47:57.62
177 Gene Mckellen 2013-05-26 14:47:57.62
178 Lisa Monroe 2013-05-26 14:47:57.62
179 Ed Guiness 2013-05-26 14:47:57.62
180 Jeff Silverstone 2013-05-26 14:47:57.62
181 Matthew Carrey 2013-05-26 14:47:57.62
182 Debbie Akroyd 2013-05-26 14:47:57.62
183 Russell Close 2013-05-26 14:47:57.62
184 Humphrey Garland 2013-05-26 14:47:57.62
185 Michael Bolger 2013-05-26 14:47:57.62
186 Julia Zellweger 2013-05-26 14:47:57.62
187 Renee Ball 2013-05-26 14:47:57.62
188 Rock Dukakis 2013-05-26 14:47:57.62
189 Cuba Birch 2013-05-26 14:47:57.62
190 Audrey Bailey 2013-05-26 14:47:57.62
191 Gregory Gooding 2013-05-26 14:47:57.62
192 John Suvari 2013-05-26 14:47:57.62
193 Burt Temple 2013-05-26 14:47:57.62
194 Meryl Allen 2013-05-26 14:47:57.62
195 Jayne Silverstone 2013-05-26 14:47:57.62
196 Bela Walken 2013-05-26 14:47:57.62
197 Reese West 2013-05-26 14:47:57.62
198 Mary Keitel 2013-05-26 14:47:57.62
199 Julia Fawcett 2013-05-26 14:47:57.62
200 Thora Temple 2013-05-26 14:47:57.62
\.
--
-- TOC entry 2975 (class 0 OID 18418)
-- Dependencies: 199
-- Data for Name: address; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY public.address (address_id, address, address2, district, city_id, postal_code, phone, last_update) FROM stdin;
1 47 MySakila Drive \N Alberta 300 2006-02-15 09:45:30
2 28 MySQL Boulevard \N QLD 576 2006-02-15 09:45:30
3 23 Workhaven Lane \N Alberta 300 14033335568 2006-02-15 09:45:30
4 1411 Lillydale Drive \N QLD 576 6172235589 2006-02-15 09:45:30
5 1913 Hanoi Way Nagasaki 463 35200 28303384290 2006-02-15 09:45:30
6 1121 Loja Avenue California 449 17886 838635286649 2006-02-15 09:45:30
7 692 Joliet Street Attika 38 83579 448477190408 2006-02-15 09:45:30
8 1566 Inegl Manor Mandalay 349 53561 705814003527 2006-02-15 09:45:30
9 53 Idfu Parkway Nantou 361 42399 10655648674 2006-02-15 09:45:30
10 1795 Santiago de Compostela Way Texas 295 18743 860452626434 2006-02-15 09:45:30
11 900 Santiago de Compostela Parkway Central Serbia 280 93896 716571220373 2006-02-15 09:45:30
12 478 Joliet Way Hamilton 200 77948 657282285970 2006-02-15 09:45:30
13 613 Korolev Drive Masqat 329 45844 380657522649 2006-02-15 09:45:30
14 1531 Sal Drive Esfahan 162 53628 648856936185 2006-02-15 09:45:30
15 1542 Tarlac Parkway Kanagawa 440 1027 635297277345 2006-02-15 09:45:30
16 808 Bhopal Manor Haryana 582 10672 465887807014 2006-02-15 09:45:30
17 270 Amroha Parkway Osmaniye 384 29610 695479687538 2006-02-15 09:45:30
18 770 Bydgoszcz Avenue California 120 16266 517338314235 2006-02-15 09:45:30
19 419 Iligan Lane Madhya Pradesh 76 72878 990911107354 2006-02-15 09:45:30
20 360 Toulouse Parkway England 495 54308 949312333307 2006-02-15 09:45:30
21 270 Toulon Boulevard Kalmykia 156 81766 407752414682 2006-02-15 09:45:30
22 320 Brest Avenue Kaduna 252 43331 747791594069 2006-02-15 09:45:30
23 1417 Lancaster Avenue Northern Cape 267 72192 272572357893 2006-02-15 09:45:30
24 1688 Okara Way Nothwest Border Prov 327 21954 144453869132 2006-02-15 09:45:30
25 262 A Corua (La Corua) Parkway Dhaka 525 34418 892775750063 2006-02-15 09:45:30
26 28 Charlotte Amalie Street Rabat-Sal-Zammour-Z 443 37551 161968374323 2006-02-15 09:45:30
27 1780 Hino Boulevard Liepaja 303 7716 902731229323 2006-02-15 09:45:30
28 96 Tafuna Way Crdoba 128 99865 934730187245 2006-02-15 09:45:30
29 934 San Felipe de Puerto Plata Street Sind 472 99780 196495945706 2006-02-15 09:45:30
30 18 Duisburg Boulevard 121 58327 998009777982 2006-02-15 09:45:30
31 217 Botshabelo Place Southern Mindanao 138 49521 665356572025 2006-02-15 09:45:30
32 1425 Shikarpur Manor Bihar 346 65599 678220867005 2006-02-15 09:45:30
33 786 Aurora Avenue Yamaguchi 474 65750 18461860151 2006-02-15 09:45:30
34 1668 Anpolis Street Taipei 316 50199 525255540978 2006-02-15 09:45:30
35 33 Gorontalo Way West Bengali 257 30348 745994947458 2006-02-15 09:45:30
36 176 Mandaluyong Place Uttar Pradesh 239 65213 627705991774 2006-02-15 09:45:30
37 127 Purnea (Purnia) Manor Piemonte 17 79388 911872220378 2006-02-15 09:45:30
38 61 Tama Street Okayama 284 94065 708403338270 2006-02-15 09:45:30
39 391 Callao Drive Midi-Pyrnes 544 34021 440512153169 2006-02-15 09:45:30
40 334 Munger (Monghyr) Lane Markazi 31 38145 481183273622 2006-02-15 09:45:30
41 1440 Fukuyama Loop Henan 362 47929 912257250465 2006-02-15 09:45:30
42 269 Cam Ranh Parkway Chisinau 115 34689 489783829737 2006-02-15 09:45:30
43 306 Antofagasta Place Esprito Santo 569 3989 378318851631 2006-02-15 09:45:30
44 671 Graz Street Oriental 353 94399 680768868518 2006-02-15 09:45:30
45 42 Brindisi Place Yerevan 586 16744 42384721397 2006-02-15 09:45:30
46 1632 Bislig Avenue Nonthaburi 394 61117 471675840679 2006-02-15 09:45:30
47 1447 Imus Way Tahiti 167 48942 539758313890 2006-02-15 09:45:30
48 1998 Halifax Drive Lipetsk 308 76022 177727722820 2006-02-15 09:45:30
49 1718 Valencia Street Antofagasta 27 37359 675292816413 2006-02-15 09:45:30
50 46 Pjatigorsk Lane Moscow (City) 343 23616 262076994845 2006-02-15 09:45:30
51 686 Garland Manor Cear 247 52535 69493378813 2006-02-15 09:45:30
52 909 Garland Manor Tatarstan 367 69367 705800322606 2006-02-15 09:45:30
53 725 Isesaki Place Mekka 237 74428 876295323994 2006-02-15 09:45:30
54 115 Hidalgo Parkway Khartum 379 80168 307703950263 2006-02-15 09:45:30
55 1135 Izumisano Parkway California 171 48150 171822533480 2006-02-15 09:45:30
56 939 Probolinggo Loop Galicia 1 4166 680428310138 2006-02-15 09:45:30
57 17 Kabul Boulevard Chiba 355 38594 697760867968 2006-02-15 09:45:30
58 1964 Allappuzha (Alleppey) Street Yamaguchi 227 48980 920811325222 2006-02-15 09:45:30
59 1697 Kowloon and New Kowloon Loop Moskova 49 57807 499352017190 2006-02-15 09:45:30
60 1668 Saint Louis Place Tahiti 397 39072 347487831378 2006-02-15 09:45:30
61 943 Tokat Street Vaduz 560 45428 889318963672 2006-02-15 09:45:30
62 1114 Liepaja Street Sarawak 282 69226 212869228936 2006-02-15 09:45:30
63 1213 Ranchi Parkway Karnataka 350 94352 800024380485 2006-02-15 09:45:30
64 81 Hodeida Way Rajasthan 231 55561 250767749542 2006-02-15 09:45:30
65 915 Ponce Place Basel-Stadt 56 83980 1395251317 2006-02-15 09:45:30
66 1717 Guadalajara Lane Missouri 441 85505 914090181665 2006-02-15 09:45:30
67 1214 Hanoi Way Nebraska 306 67055 491001136577 2006-02-15 09:45:30
68 1966 Amroha Avenue Sichuan 139 70385 333489324603 2006-02-15 09:45:30
69 698 Otsu Street Cayenne 105 71110 409983924481 2006-02-15 09:45:30
70 1150 Kimchon Manor Skne ln 321 96109 663449333709 2006-02-15 09:45:30
71 1586 Guaruj Place Hunan 579 5135 947233365992 2006-02-15 09:45:30
72 57 Arlington Manor Madhya Pradesh 475 48960 990214419142 2006-02-15 09:45:30
73 1031 Daugavpils Parkway Bchar 63 59025 107137400143 2006-02-15 09:45:30
74 1124 Buenaventura Drive Mekka 13 6856 407733804223 2006-02-15 09:45:30
75 492 Cam Ranh Street Eastern Visayas 61 50805 565018274456 2006-02-15 09:45:30
76 89 Allappuzha (Alleppey) Manor National Capital Reg 517 75444 255800440636 2006-02-15 09:45:30
77 1947 Poos de Caldas Boulevard Chiayi 114 60951 427454485876 2006-02-15 09:45:30
78 1206 Dos Quebradas Place So Paulo 431 20207 241832790687 2006-02-15 09:45:30
79 1551 Rampur Lane Changhwa 108 72394 251164340471 2006-02-15 09:45:30
80 602 Paarl Street Pavlodar 402 98889 896314772871 2006-02-15 09:45:30
81 1692 Ede Loop So Paulo 30 9223 918711376618 2006-02-15 09:45:30
82 936 Salzburg Lane Uttar Pradesh 425 96709 875756771675 2006-02-15 09:45:30
83 586 Tete Way Kanagawa 256 1079 18581624103 2006-02-15 09:45:30
84 1888 Kabul Drive Oyo & Osun 217 20936 701457319790 2006-02-15 09:45:30
85 320 Baiyin Parkway Mahajanga 319 37307 223664661973 2006-02-15 09:45:30
86 927 Baha Blanca Parkway Krim 479 9495 821972242086 2006-02-15 09:45:30
87 929 Tallahassee Loop Gauteng 497 74671 800716535041 2006-02-15 09:45:30
88 125 Citt del Vaticano Boulevard Puebla 40 67912 48417642933 2006-02-15 09:45:30
89 1557 Ktahya Boulevard England 88 88002 720998247660 2006-02-15 09:45:30
90 870 Ashqelon Loop Songkhla 489 84931 135117278909 2006-02-15 09:45:30
91 1740 Portoviejo Avenue Sucre 480 29932 198123170793 2006-02-15 09:45:30
92 1942 Ciparay Parkway Cheju 113 82624 978987363654 2006-02-15 09:45:30
93 1926 El Alto Avenue Buenos Aires 289 75543 846225459260 2006-02-15 09:45:30
94 1952 Chatsworth Drive Guangdong 332 25958 991562402283 2006-02-15 09:45:30
95 1370 Le Mans Avenue Brunei and Muara 53 52163 345679835036 2006-02-15 09:45:30
96 984 Effon-Alaiye Avenue Gois 183 17119 132986892228 2006-02-15 09:45:30
97 832 Nakhon Sawan Manor Inner Mongolia 592 49021 275595571388 2006-02-15 09:45:30
98 152 Kitwe Parkway Caraga 82 53182 835433605312 2006-02-15 09:45:30
99 1697 Tanauan Lane Punjab 399 22870 4764773857 2006-02-15 09:45:30
100 1308 Arecibo Way Georgia 41 30695 6171054059 2006-02-15 09:45:30
101 1599 Plock Drive Tete 534 71986 817248913162 2006-02-15 09:45:30
102 669 Firozabad Loop Abu Dhabi 12 92265 412903167998 2006-02-15 09:45:30
103 588 Vila Velha Manor Kyongsangbuk 268 51540 333339908719 2006-02-15 09:45:30
104 1913 Kamakura Place Lipetsk 238 97287 942570536750 2006-02-15 09:45:30
105 733 Mandaluyong Place Asir 2 77459 196568435814 2006-02-15 09:45:30
106 659 Vaduz Drive Ha Darom 34 49708 709935135487 2006-02-15 09:45:30
107 1177 Jelets Way Kwara & Kogi 220 3305 484292626944 2006-02-15 09:45:30
108 1386 Yangor Avenue Provence-Alpes-Cte 543 80720 449216226468 2006-02-15 09:45:30
109 454 Nakhon Sawan Boulevard Funafuti 173 76383 963887147572 2006-02-15 09:45:30
110 1867 San Juan Bautista Tuxtepec Avenue Ivanovo 225 78311 547003310357 2006-02-15 09:45:30
111 1532 Dzerzinsk Way Buenos Aires 334 9599 330838016880 2006-02-15 09:45:30
112 1002 Ahmadnagar Manor Mxico 213 93026 371490777743 2006-02-15 09:45:30
113 682 Junan Way North West 273 30418 622255216127 2006-02-15 09:45:30
114 804 Elista Drive Hubei 159 61069 379804592943 2006-02-15 09:45:30
115 1378 Alvorada Avenue Distrito Federal 102 75834 272234298332 2006-02-15 09:45:30
116 793 Cam Ranh Avenue California 292 87057 824370924746 2006-02-15 09:45:30
117 1079 Tel Aviv-Jaffa Boulevard Sucre 132 10885 358178933857 2006-02-15 09:45:30
118 442 Rae Bareli Place Nordrhein-Westfalen 148 24321 886636413768 2006-02-15 09:45:30
119 1107 Nakhon Sawan Avenue Mxico 365 75149 867546627903 2006-02-15 09:45:30
120 544 Malm Parkway Central Java 403 63502 386759646229 2006-02-15 09:45:30
121 1967 Sincelejo Place Gujarat 176 73644 577812616052 2006-02-15 09:45:30
122 333 Goinia Way Texas 185 78625 909029256431 2006-02-15 09:45:30
123 1987 Coacalco de Berriozbal Loop al-Qalyubiya 476 96065 787654415858 2006-02-15 09:45:30
124 241 Mosul Lane Risaralda 147 76157 765345144779 2006-02-15 09:45:30
125 211 Chiayi Drive Uttar Pradesh 164 58186 665993880048 2006-02-15 09:45:30
126 1175 Tanauan Way Lima 305 64615 937222955822 2006-02-15 09:45:30
127 117 Boa Vista Way Uttar Pradesh 566 6804 677976133614 2006-02-15 09:45:30
128 848 Tafuna Manor Ktahya 281 45142 614935229095 2006-02-15 09:45:30
129 569 Baicheng Lane Gauteng 85 60304 490211944645 2006-02-15 09:45:30
130 1666 Qomsheh Drive So Paulo 410 66255 582835362905 2006-02-15 09:45:30
131 801 Hagonoy Drive Smolensk 484 8439 237426099212 2006-02-15 09:45:30
132 1050 Garden Grove Avenue Slaskie 236 4999 973047364353 2006-02-15 09:45:30
133 1854 Tieli Street Shandong 302 15819 509492324775 2006-02-15 09:45:30
134 758 Junan Lane Gois 190 82639 935448624185 2006-02-15 09:45:30
135 1752 So Leopoldo Parkway Taka-Karpatia 345 14014 252265130067 2006-02-15 09:45:30
136 898 Belm Manor Free State 87 49757 707169393853 2006-02-15 09:45:30
137 261 Saint Louis Way Coahuila de Zaragoza 541 83401 321944036800 2006-02-15 09:45:30
138 765 Southampton Drive al-Qalyubiya 421 4285 23712411567 2006-02-15 09:45:30
139 943 Johannesburg Avenue Maharashtra 417 5892 90921003005 2006-02-15 09:45:30
140 788 Atinsk Street Karnataka 211 81691 146497509724 2006-02-15 09:45:30
141 1749 Daxian Place Gelderland 29 11044 963369996279 2006-02-15 09:45:30
142 1587 Sullana Lane Inner Mongolia 207 85769 468060467018 2006-02-15 09:45:30
143 1029 Dzerzinsk Manor Ynlin 542 57519 33173584456 2006-02-15 09:45:30
144 1666 Beni-Mellal Place Tennessee 123 13377 9099941466 2006-02-15 09:45:30
145 928 Jaffna Loop Hiroshima 172 93762 581852137991 2006-02-15 09:45:30
146 483 Ljubertsy Parkway Scotland 149 60562 581174211853 2006-02-15 09:45:30
147 374 Bat Yam Boulevard Kilis 266 97700 923261616249 2006-02-15 09:45:30
148 1027 Songkhla Manor Minsk 340 30861 563660187896 2006-02-15 09:45:30
149 999 Sanaa Loop Gauteng 491 3439 918032330119 2006-02-15 09:45:30
150 879 Newcastle Way Michigan 499 90732 206841104594 2006-02-15 09:45:30
151 1337 Lincoln Parkway Saitama 555 99457 597815221267 2006-02-15 09:45:30
152 1952 Pune Lane Saint-Denis 442 92150 354615066969 2006-02-15 09:45:30
153 782 Mosul Street Massachusetts 94 25545 885899703621 2006-02-15 09:45:30
154 781 Shimonoseki Drive Michoacn de Ocampo 202 95444 632316273199 2006-02-15 09:45:30
155 1560 Jelets Boulevard Shandong 291 77777 189446090264 2006-02-15 09:45:30
156 1963 Moscow Place Assam 354 64863 761379480249 2006-02-15 09:45:30
157 456 Escobar Way Jakarta Raya 232 36061 719202533520 2006-02-15 09:45:30
158 798 Cianjur Avenue Shanxi 590 76990 499408708580 2006-02-15 09:45:30
159 185 Novi Sad Place Bern 72 41778 904253967161 2006-02-15 09:45:30
160 1367 Yantai Manor Ondo & Ekiti 381 21294 889538496300 2006-02-15 09:45:30
161 1386 Nakhon Sawan Boulevard Pyongyang-si 420 53502 368899174225 2006-02-15 09:45:30
162 369 Papeete Way North Carolina 187 66639 170117068815 2006-02-15 09:45:30
163 1440 Compton Place North Austria 307 81037 931059836497 2006-02-15 09:45:30
164 1623 Baha Blanca Manor Moskova 310 81511 149981248346 2006-02-15 09:45:30
165 97 Shimoga Avenue Tel Aviv 533 44660 177167004331 2006-02-15 09:45:30
166 1740 Le Mans Loop Pays de la Loire 297 22853 168476538960 2006-02-15 09:45:30
167 1287 Xiangfan Boulevard Gifu 253 57844 819416131190 2006-02-15 09:45:30
168 842 Salzburg Lane Adana 529 3313 697151428760 2006-02-15 09:45:30
169 154 Tallahassee Loop Xinxiang 199 62250 935508855935 2006-02-15 09:45:30
170 710 San Felipe del Progreso Avenue Lilongwe 304 76901 843801144113 2006-02-15 09:45:30
171 1540 Wroclaw Drive Maharashtra 107 62686 182363341674 2006-02-15 09:45:30
172 475 Atinsk Way Gansu 240 59571 201705577290 2006-02-15 09:45:30
173 1294 Firozabad Drive Jiangxi 407 70618 161801569569 2006-02-15 09:45:30
174 1877 Ezhou Lane Rajasthan 550 63337 264541743403 2006-02-15 09:45:30
175 316 Uruapan Street Perak 223 58194 275788967899 2006-02-15 09:45:30
176 29 Pyongyang Loop Batman 58 47753 734780743462 2006-02-15 09:45:30
177 1010 Klerksdorp Way Steiermark 186 6802 493008546874 2006-02-15 09:45:30
178 1848 Salala Boulevard Miranda 373 25220 48265851133 2006-02-15 09:45:30
179 431 Xiangtan Avenue Kerala 18 4854 230250973122 2006-02-15 09:45:30
180 757 Rustenburg Avenue Skikda 483 89668 506134035434 2006-02-15 09:45:30
181 146 Johannesburg Way Tamaulipas 330 54132 953689007081 2006-02-15 09:45:30
182 1891 Rizhao Boulevard So Paulo 456 47288 391065549876 2006-02-15 09:45:30
183 1089 Iwatsuki Avenue Kirov 270 35109 866092335135 2006-02-15 09:45:30
184 1410 Benin City Parkway Risaralda 405 29747 104150372603 2006-02-15 09:45:30
185 682 Garden Grove Place Tennessee 333 67497 72136330362 2006-02-15 09:45:30
186 533 al-Ayn Boulevard California 126 8862 662227486184 2006-02-15 09:45:30
187 1839 Szkesfehrvr Parkway Gois 317 55709 947468818183 2006-02-15 09:45:30
188 741 Ambattur Manor Noord-Brabant 438 43310 302590383819 2006-02-15 09:45:30
189 927 Barcelona Street Chaharmahal va Bakht 467 65121 951486492670 2006-02-15 09:45:30
190 435 0 Way West Bengali 195 74750 760171523969 2006-02-15 09:45:30
191 140 Chiayi Parkway Sumy 506 38982 855863906434 2006-02-15 09:45:30
192 1166 Changhwa Street Caraga 62 58852 650752094490 2006-02-15 09:45:30
193 891 Novi Sad Manor Ontario 383 5379 247646995453 2006-02-15 09:45:30
194 605 Rio Claro Parkway Tabora 513 49348 352469351088 2006-02-15 09:45:30
195 1077 San Felipe de Puerto Plata Place Rostov-na-Donu 369 65387 812824036424 2006-02-15 09:45:30
196 9 San Miguel de Tucumn Manor Uttar Pradesh 169 90845 956188728558 2006-02-15 09:45:30
197 447 Surakarta Loop Nyanza 271 10428 940830176580 2006-02-15 09:45:30
198 345 Oshawa Boulevard Tokyo-to 204 32114 104491201771 2006-02-15 09:45:30
199 1792 Valle de la Pascua Place Nordrhein-Westfalen 477 15540 419419591240 2006-02-15 09:45:30
200 1074 Binzhou Manor Baden-Wrttemberg 325 36490 331132568928 2006-02-15 09:45:30
201 817 Bradford Loop Jiangsu 109 89459 264286442804 2006-02-15 09:45:30
202 955 Bamenda Way Ondo & Ekiti 218 1545 768481779568 2006-02-15 09:45:30
203 1149 A Corua (La Corua) Boulevard Haiphong 194 95824 470884141195 2006-02-15 09:45:30
204 387 Mwene-Ditu Drive Ahal 35 8073 764477681869 2006-02-15 09:45:30
205 68 Molodetno Manor Nordrhein-Westfalen 575 4662 146640639760 2006-02-15 09:45:30
206 642 Nador Drive Maharashtra 77 3924 369050085652 2006-02-15 09:45:30
207 1688 Nador Lane Sulawesi Utara 184 61613 652218196731 2006-02-15 09:45:30
208 1215 Pyongyang Parkway Usak 557 25238 646237101779 2006-02-15 09:45:30
209 1679 Antofagasta Street Alto Paran 122 86599 905903574913 2006-02-15 09:45:30
210 1304 s-Hertogenbosch Way Santa Catarina 83 10925 90336226227 2006-02-15 09:45:30
211 850 Salala Loop Kitaa 371 10800 403404780639 2006-02-15 09:45:30
212 624 Oshawa Boulevard West Bengali 51 89959 49677664184 2006-02-15 09:45:30
213 43 Dadu Avenue Rajasthan 74 4855 95666951770 2006-02-15 09:45:30
214 751 Lima Loop Aden 7 99405 756460337785 2006-02-15 09:45:30
215 1333 Haldia Street Jilin 174 82161 408304391718 2006-02-15 09:45:30
216 660 Jedda Boulevard Washington 65 25053 168758068397 2006-02-15 09:45:30
217 1001 Miyakonojo Lane Taizz 518 67924 584316724815 2006-02-15 09:45:30
218 226 Brest Manor California 508 2299 785881412500 2006-02-15 09:45:30
219 1229 Valencia Parkway Haskovo 498 99124 352679173732 2006-02-15 09:45:30
220 1201 Qomsheh Manor Gois 28 21464 873492228462 2006-02-15 09:45:30
221 866 Shivapuri Manor Uttar Pradesh 448 22474 778502731092 2006-02-15 09:45:30
222 1168 Najafabad Parkway Kabol 251 40301 886649065861 2006-02-15 09:45:30
223 1244 Allappuzha (Alleppey) Place Buenos Aires 567 20657 991802825778 2006-02-15 09:45:30
224 1842 Luzinia Boulevard Zanzibar West 593 94420 706878974831 2006-02-15 09:45:30
225 1926 Gingoog Street Sisilia 511 22824 469738825391 2006-02-15 09:45:30
226 810 Palghat (Palakkad) Boulevard Jaroslavl 235 73431 516331171356 2006-02-15 09:45:30
227 1820 Maring Parkway Punjab 324 88307 99760893676 2006-02-15 09:45:30
228 60 Poos de Caldas Street Rajasthan 243 82338 963063788669 2006-02-15 09:45:30
229 1014 Loja Manor Tamil Nadu 22 66851 460795526514 2006-02-15 09:45:30
230 201 Effon-Alaiye Way Asuncin 37 64344 684192903087 2006-02-15 09:45:30
231 430 Alessandria Loop Saarland 439 47446 669828224459 2006-02-15 09:45:30
232 754 Valencia Place Phnom Penh 406 87911 594319417514 2006-02-15 09:45:30
233 356 Olomouc Manor Gois 26 93323 22326410776 2006-02-15 09:45:30
234 1256 Bislig Boulevard Botosani 86 50598 479007229460 2006-02-15 09:45:30
235 954 Kimchon Place West Bengali 559 42420 541327526474 2006-02-15 09:45:30
236 885 Yingkou Manor Kaduna 596 31390 588964509072 2006-02-15 09:45:30
237 1736 Cavite Place Qina 216 98775 431770603551 2006-02-15 09:45:30
238 346 Skikda Parkway Hawalli 233 90628 630424482919 2006-02-15 09:45:30
239 98 Stara Zagora Boulevard Valle 96 76448 610173756082 2006-02-15 09:45:30
240 1479 Rustenburg Boulevard Southern Tagalog 527 18727 727785483194 2006-02-15 09:45:30
241 647 A Corua (La Corua) Street Chollanam 357 36971 792557457753 2006-02-15 09:45:30
242 1964 Gijn Manor Karnataka 473 14408 918119601885 2006-02-15 09:45:30
243 47 Syktyvkar Lane West Java 118 22236 63937119031 2006-02-15 09:45:30
244 1148 Saarbrcken Parkway Fukushima 226 1921 137773001988 2006-02-15 09:45:30
245 1103 Bilbays Parkway Hubei 578 87660 279979529227 2006-02-15 09:45:30
246 1246 Boksburg Parkway Hebei 422 28349 890283544295 2006-02-15 09:45:30
247 1483 Pathankot Street Tucumn 454 37288 686015532180 2006-02-15 09:45:30
248 582 Papeete Loop Central Visayas 294 27722 569868543137 2006-02-15 09:45:30
249 300 Junan Street Kyonggi 553 81314 890289150158 2006-02-15 09:45:30
250 829 Grand Prairie Way Paran 328 6461 741070712873 2006-02-15 09:45:30
251 1473 Changhwa Parkway Mxico 124 75933 266798132374 2006-02-15 09:45:30
252 1309 Weifang Street Florida 520 57338 435785045362 2006-02-15 09:45:30
253 1760 Oshawa Manor Tianjin 535 38140 56257502250 2006-02-15 09:45:30
254 786 Stara Zagora Way Oyo & Osun 390 98332 716256596301 2006-02-15 09:45:30
255 1966 Tonghae Street Anhalt Sachsen 198 36481 567359279425 2006-02-15 09:45:30
256 1497 Yuzhou Drive England 312 3433 246810237916 2006-02-15 09:45:30
258 752 Ondo Loop Miyazaki 338 32474 134673576619 2006-02-15 09:45:30
259 1338 Zalantun Lane Minas Gerais 413 45403 840522972766 2006-02-15 09:45:30
260 127 Iwakuni Boulevard Central Luzon 192 20777 987442542471 2006-02-15 09:45:30
261 51 Laredo Avenue Sagaing 342 68146 884536620568 2006-02-15 09:45:30
262 771 Yaound Manor Sofala 64 86768 245477603573 2006-02-15 09:45:30
263 532 Toulon Street Santiago 460 69517 46871694740 2006-02-15 09:45:30
264 1027 Banjul Place West Bengali 197 50390 538241037443 2006-02-15 09:45:30
265 1158 Mandi Bahauddin Parkway Shanxi 136 98484 276555730211 2006-02-15 09:45:30
266 862 Xintai Lane Cagayan Valley 548 30065 265153400632 2006-02-15 09:45:30
267 816 Cayenne Parkway Manab 414 93629 282874611748 2006-02-15 09:45:30
268 1831 Nam Dinh Loop National Capital Reg 323 51990 322888976727 2006-02-15 09:45:30
269 446 Kirovo-Tepetsk Lane Osaka 203 19428 303967439816 2006-02-15 09:45:30
270 682 Halisahar Place Severn Morava 378 20536 475553436330 2006-02-15 09:45:30
271 1587 Loja Manor Salzburg 447 5410 621625204422 2006-02-15 09:45:30
272 1762 Paarl Parkway Hunan 298 53928 192459639410 2006-02-15 09:45:30
273 1519 Ilorin Place Kerala 395 49298 357445645426 2006-02-15 09:45:30
274 920 Kumbakonam Loop California 446 75090 685010736240 2006-02-15 09:45:30
275 906 Goinia Way Wielkopolskie 255 83565 701767622697 2006-02-15 09:45:30
276 1675 Xiangfan Manor Tamil Nadu 283 11763 271149517630 2006-02-15 09:45:30
277 85 San Felipe de Puerto Plata Drive Shandong 584 46063 170739645687 2006-02-15 09:45:30
278 144 South Hill Loop Guanajuato 445 2012 45387294817 2006-02-15 09:45:30
279 1884 Shikarpur Avenue Haryana 263 85548 959949395183 2006-02-15 09:45:30
280 1980 Kamjanets-Podilskyi Street Illinois 404 89502 874337098891 2006-02-15 09:45:30
281 1944 Bamenda Way Michigan 573 24645 75975221996 2006-02-15 09:45:30
282 556 Baybay Manor Oyo & Osun 374 55802 363982224739 2006-02-15 09:45:30
283 457 Tongliao Loop Bursa 222 56254 880756161823 2006-02-15 09:45:30
284 600 Bradford Street East Azerbaidzan 514 96204 117592274996 2006-02-15 09:45:30
285 1006 Santa Brbara dOeste Manor Ondo & Ekiti 389 36229 85059738746 2006-02-15 09:45:30
286 1308 Sumy Loop Fujian 175 30657 583021225407 2006-02-15 09:45:30
287 1405 Chisinau Place Ponce 411 8160 62781725285 2006-02-15 09:45:30
288 226 Halifax Street Xinxiang 277 58492 790651020929 2006-02-15 09:45:30
289 1279 Udine Parkway Edo & Delta 69 75860 195003555232 2006-02-15 09:45:30
290 1336 Benin City Drive Shiga 386 46044 341242939532 2006-02-15 09:45:30
291 1155 Liaocheng Place Oyo & Osun 152 22650 558236142492 2006-02-15 09:45:30
292 1993 Tabuk Lane Tamil Nadu 522 64221 648482415405 2006-02-15 09:45:30
293 86 Higashiosaka Lane Guanajuato 563 33768 957128697225 2006-02-15 09:45:30
294 1912 Allende Manor Kowloon and New Kowl 279 58124 172262454487 2006-02-15 09:45:30
295 544 Tarsus Boulevard Gurico 562 53145 892523334 2006-02-15 09:45:30
296 1936 Cuman Avenue Virginia 433 61195 976798660411 2006-02-15 09:45:30
297 1192 Tongliao Street Sharja 470 19065 350970907017 2006-02-15 09:45:30
298 44 Najafabad Way Baskimaa 146 61391 96604821070 2006-02-15 09:45:30
299 32 Pudukkottai Lane Ohio 140 38834 967274728547 2006-02-15 09:45:30
300 661 Chisinau Lane Pietari 274 8856 816436065431 2006-02-15 09:45:30
301 951 Stara Zagora Manor Punjab 400 98573 429925609431 2006-02-15 09:45:30
302 922 Vila Velha Loop Maharashtra 9 4085 510737228015 2006-02-15 09:45:30
303 898 Jining Lane Pohjois-Pohjanmaa 387 40070 161643343536 2006-02-15 09:45:30
304 1635 Kuwana Boulevard Hiroshima 205 52137 710603868323 2006-02-15 09:45:30
305 41 El Alto Parkway Maharashtra 398 56883 51917807050 2006-02-15 09:45:30
306 1883 Maikop Lane Kaliningrad 254 68469 96110042435 2006-02-15 09:45:30
307 1908 Gaziantep Place Liaoning 536 58979 108053751300 2006-02-15 09:45:30
308 687 Alessandria Parkway Sanaa 455 57587 407218522294 2006-02-15 09:45:30
309 827 Yuncheng Drive Callao 99 79047 504434452842 2006-02-15 09:45:30
310 913 Coacalco de Berriozbal Loop Texas 33 42141 262088367001 2006-02-15 09:45:30
311 715 So Bernardo do Campo Lane Kedah 507 84804 181179321332 2006-02-15 09:45:30
312 1354 Siegen Street Rio de Janeiro 25 80184 573441801529 2006-02-15 09:45:30
313 1191 Sungai Petani Boulevard Missouri 262 9668 983259819766 2006-02-15 09:45:30
314 1224 Huejutla de Reyes Boulevard Lombardia 91 70923 806016930576 2006-02-15 09:45:30
315 543 Bergamo Avenue Minas Gerais 215 59686 103602195112 2006-02-15 09:45:30
316 746 Joliet Lane Kursk 286 94878 688485191923 2006-02-15 09:45:30
317 780 Kimberley Way Tabuk 515 17032 824396883951 2006-02-15 09:45:30
318 1774 Yaound Place Hubei 166 91400 613124286867 2006-02-15 09:45:30
319 1957 Yantai Lane So Paulo 490 59255 704948322302 2006-02-15 09:45:30
320 1542 Lubumbashi Boulevard Tel Aviv 57 62472 508800331065 2006-02-15 09:45:30
321 651 Pathankot Loop Maharashtra 336 59811 139378397418 2006-02-15 09:45:30
322 1359 Zhoushan Parkway Streymoyar 545 29763 46568045367 2006-02-15 09:45:30
323 1769 Iwaki Lane Kujawsko-Pomorskie 97 25787 556100547674 2006-02-15 09:45:30
324 1145 Vilnius Manor Mxico 451 73170 674805712553 2006-02-15 09:45:30
325 1892 Nabereznyje Telny Lane Tutuila 516 28396 478229987054 2006-02-15 09:45:30
326 470 Boksburg Street Central 81 97960 908029859266 2006-02-15 09:45:30
327 1427 A Corua (La Corua) Place Buenos Aires 45 85799 972574862516 2006-02-15 09:45:30
328 479 San Felipe del Progreso Avenue Morelos 130 54949 869051782691 2006-02-15 09:45:30
329 867 Benin City Avenue Henan 591 78543 168884817145 2006-02-15 09:45:30
330 981 Kumbakonam Place Distrito Federal 89 87611 829116184079 2006-02-15 09:45:30
331 1016 Iwakuni Street St George 269 49833 961370847344 2006-02-15 09:45:30
332 663 Baha Blanca Parkway Adana 5 33463 834418779292 2006-02-15 09:45:30
333 1860 Taguig Loop West Java 119 59550 38158430589 2006-02-15 09:45:30
334 1816 Bydgoszcz Loop Dhaka 234 64308 965273813662 2006-02-15 09:45:30
335 587 Benguela Manor Illinois 42 91590 165450987037 2006-02-15 09:45:30
336 430 Kumbakonam Drive Santa F 457 28814 105470691550 2006-02-15 09:45:30
337 1838 Tabriz Lane Dhaka 143 1195 38988715447 2006-02-15 09:45:30
338 431 Szkesfehrvr Avenue Baki 48 57828 119501405123 2006-02-15 09:45:30
339 503 Sogamoso Loop Sumqayit 505 49812 834626715837 2006-02-15 09:45:30
340 507 Smolensk Loop Sousse 492 22971 80303246192 2006-02-15 09:45:30
341 1920 Weifang Avenue Uttar Pradesh 427 15643 869507847714 2006-02-15 09:45:30
342 124 al-Manama Way Hiroshima 382 52368 647899404952 2006-02-15 09:45:30
343 1443 Mardan Street Western Cape 392 31483 231383037471 2006-02-15 09:45:30
344 1909 Benguela Lane Henan 581 19913 624138001031 2006-02-15 09:45:30
345 68 Ponce Parkway Hanoi 201 85926 870635127812 2006-02-15 09:45:30
346 1217 Konotop Avenue Gelderland 151 504 718917251754 2006-02-15 09:45:30
347 1293 Nam Dinh Way Roraima 84 71583 697656479977 2006-02-15 09:45:30
348 785 Vaduz Street Baja California 335 36170 895616862749 2006-02-15 09:45:30
349 1516 Escobar Drive Tongatapu 370 46069 64536069371 2006-02-15 09:45:30
350 1628 Nagareyama Lane Central 453 60079 20064292617 2006-02-15 09:45:30
351 1157 Nyeri Loop Adygea 320 56380 262744791493 2006-02-15 09:45:30
352 1673 Tangail Drive Daugavpils 137 26857 627924259271 2006-02-15 09:45:30
353 381 Kabul Way Taipei 209 87272 55477302294 2006-02-15 09:45:30
354 953 Hodeida Street Southern Tagalog 221 18841 53912826864 2006-02-15 09:45:30
355 469 Nakhon Sawan Street Tuvassia 531 58866 689199636560 2006-02-15 09:45:30
356 1378 Beira Loop Krasnojarsk 597 40792 840957664136 2006-02-15 09:45:30
357 1641 Changhwa Place Nord-Ouest 52 37636 256546485220 2006-02-15 09:45:30
358 1698 Southport Loop Hidalgo 393 49009 754358349853 2006-02-15 09:45:30
359 519 Nyeri Manor So Paulo 461 37650 764680915323 2006-02-15 09:45:30
360 619 Hunuco Avenue Shimane 331 81508 142596392389 2006-02-15 09:45:30
361 45 Aparecida de Goinia Place Madhya Pradesh 464 7431 650496654258 2006-02-15 09:45:30
362 482 Kowloon and New Kowloon Manor Bratislava 90 97056 738968474939 2006-02-15 09:45:30
363 604 Bern Place Jharkhand 429 5373 620719383725 2006-02-15 09:45:30
364 1623 Kingstown Drive Buenos Aires 20 91299 296394569728 2006-02-15 09:45:30
365 1009 Zanzibar Lane Arecibo 32 64875 102396298916 2006-02-15 09:45:30
366 114 Jalib al-Shuyukh Manor Centre 585 60440 845378657301 2006-02-15 09:45:30
367 1163 London Parkway Par 66 6066 675120358494 2006-02-15 09:45:30
368 1658 Jastrzebie-Zdrj Loop Central 372 96584 568367775448 2006-02-15 09:45:30
369 817 Laredo Avenue Jalisco 188 77449 151249681135 2006-02-15 09:45:30
370 1565 Tangail Manor Okinawa 377 45750 634445428822 2006-02-15 09:45:30
371 1912 Emeishan Drive Balikesir 50 33050 99883471275 2006-02-15 09:45:30
372 230 Urawa Drive Andhra Pradesh 8 2738 166898395731 2006-02-15 09:45:30
373 1922 Miraj Way Esfahan 356 13203 320471479776 2006-02-15 09:45:30
374 433 Florencia Street Chihuahua 250 91330 561729882725 2006-02-15 09:45:30
375 1049 Matamoros Parkway Karnataka 191 69640 960505250340 2006-02-15 09:45:30
376 1061 Ede Avenue Southern Tagalog 98 57810 333390595558 2006-02-15 09:45:30
377 154 Oshawa Manor East Java 415 72771 440365973660 2006-02-15 09:45:30
378 1191 Tandil Drive Southern Tagalog 523 6362 45554316010 2006-02-15 09:45:30
379 1133 Rizhao Avenue Pernambuco 572 2800 600264533987 2006-02-15 09:45:30
380 1519 Santiago de los Caballeros Loop East Kasai 348 22025 409315295763 2006-02-15 09:45:30
381 1618 Olomouc Manor Kurgan 285 26385 96846695220 2006-02-15 09:45:30
382 220 Hidalgo Drive Kermanshah 265 45298 342720754566 2006-02-15 09:45:30
383 686 Donostia-San Sebastin Lane Guangdong 471 97390 71857599858 2006-02-15 09:45:30
384 97 Mogiljov Lane Gujarat 73 89294 924815207181 2006-02-15 09:45:30
385 1642 Charlotte Amalie Drive Slaskie 549 75442 821476736117 2006-02-15 09:45:30
386 1368 Maracabo Boulevard 493 32716 934352415130 2006-02-15 09:45:30
387 401 Sucre Boulevard New Hampshire 322 25007 486395999608 2006-02-15 09:45:30
388 368 Hunuco Boulevard Namibe 360 17165 106439158941 2006-02-15 09:45:30
389 500 Lincoln Parkway Jiangsu 210 95509 550306965159 2006-02-15 09:45:30
390 102 Chapra Drive Ibaragi 521 14073 776031833752 2006-02-15 09:45:30
391 1793 Meixian Place Hmelnytskyi 258 33535 619966287415 2006-02-15 09:45:30
392 514 Ife Way Shaba 315 69973 900235712074 2006-02-15 09:45:30
393 717 Changzhou Lane Southern Tagalog 104 21615 426255288071 2006-02-15 09:45:30
394 753 Ilorin Avenue Sichuan 157 3656 464511145118 2006-02-15 09:45:30
395 1337 Mit Ghamr Avenue Nakhon Sawan 358 29810 175283210378 2006-02-15 09:45:30
396 767 Pyongyang Drive Osaka 229 83536 667736124769 2006-02-15 09:45:30
397 614 Pak Kret Street Addis Abeba 6 27796 47808359842 2006-02-15 09:45:30
398 954 Lapu-Lapu Way Moskova 278 8816 737229003916 2006-02-15 09:45:30
399 331 Bydgoszcz Parkway Asturia 181 966 537374465982 2006-02-15 09:45:30
400 1152 Citrus Heights Manor al-Qadarif 15 5239 765957414528 2006-02-15 09:45:30
401 168 Cianjur Manor Saitama 228 73824 679095087143 2006-02-15 09:45:30
402 616 Hagonoy Avenue Krasnojarsk 39 46043 604177838256 2006-02-15 09:45:30
403 1190 0 Place Rio Grande do Sul 44 10417 841876514789 2006-02-15 09:45:30
404 734 Bchar Place Punjab 375 30586 280578750435 2006-02-15 09:45:30
405 530 Lausanne Lane Texas 135 11067 775235029633 2006-02-15 09:45:30
406 454 Patiala Lane Fukushima 276 13496 794553031307 2006-02-15 09:45:30
407 1346 Mysore Drive Bretagne 92 61507 516647474029 2006-02-15 09:45:30
408 990 Etawah Loop Tamil Nadu 564 79940 206169448769 2006-02-15 09:45:30
409 1266 Laredo Parkway Saitama 380 7664 1483365694 2006-02-15 09:45:30
410 88 Nagaon Manor Buenos Aires 524 86868 779461480495 2006-02-15 09:45:30
411 264 Bhimavaram Manor St Thomas 111 54749 302526949177 2006-02-15 09:45:30
412 1639 Saarbrcken Drive North West 437 9827 328494873422 2006-02-15 09:45:30
413 692 Amroha Drive Northern 230 35575 359478883004 2006-02-15 09:45:30
414 1936 Lapu-Lapu Parkway Bauchi & Gombe 141 7122 653436985797 2006-02-15 09:45:30
415 432 Garden Grove Street Ontario 430 65630 615964523510 2006-02-15 09:45:30
416 1445 Carmen Parkway West Java 117 70809 598912394463 2006-02-15 09:45:30
417 791 Salinas Street Punjab 208 40509 129953030512 2006-02-15 09:45:30
418 126 Acua Parkway West Bengali 71 58888 480039662421 2006-02-15 09:45:30
419 397 Sunnyvale Avenue Guanajuato 19 55566 680851640676 2006-02-15 09:45:30
420 992 Klerksdorp Loop Utrecht 23 33711 855290087237 2006-02-15 09:45:30
421 966 Arecibo Loop Sind 134 94018 15273765306 2006-02-15 09:45:30
422 289 Santo Andr Manor al-Sharqiya 16 72410 214976066017 2006-02-15 09:45:30
423 437 Chungho Drive Puerto Plata 450 59489 491271355190 2006-02-15 09:45:30
424 1948 Bayugan Parkway Bihar 264 60622 987306329957 2006-02-15 09:45:30
425 1866 al-Qatif Avenue California 155 89420 546793516940 2006-02-15 09:45:30
426 1661 Abha Drive Tamil Nadu 416 14400 270456873752 2006-02-15 09:45:30
427 1557 Cape Coral Parkway Hubei 293 46875 368284120423 2006-02-15 09:45:30
428 1727 Matamoros Place Sawhaj 465 78813 129673677866 2006-02-15 09:45:30
429 1269 Botosani Manor Guangdong 468 47394 736517327853 2006-02-15 09:45:30
430 355 Vitria de Santo Anto Way Oaxaca 452 81758 548003849552 2006-02-15 09:45:30
431 1596 Acua Parkway Jharkhand 418 70425 157133457169 2006-02-15 09:45:30
432 259 Ipoh Drive So Paulo 189 64964 419009857119 2006-02-15 09:45:30
433 1823 Hoshiarpur Lane Komi 510 33191 307133768620 2006-02-15 09:45:30
434 1404 Taguig Drive Okayama 547 87212 572068624538 2006-02-15 09:45:30
435 740 Udaipur Lane Nizni Novgorod 150 33505 497288595103 2006-02-15 09:45:30
436 287 Cuautla Boulevard Chuquisaca 501 72736 82619513349 2006-02-15 09:45:30
437 1766 Almirante Brown Street KwaZulu-Natal 364 63104 617567598243 2006-02-15 09:45:30
438 596 Huixquilucan Place Nampula 351 65892 342709348083 2006-02-15 09:45:30
439 1351 Aparecida de Goinia Parkway Northern Mindanao 391 41775 959834530529 2006-02-15 09:45:30
440 722 Bradford Lane Shandong 249 90920 746251338300 2006-02-15 09:45:30
441 983 Santa F Way British Colombia 565 47472 145720452260 2006-02-15 09:45:30
442 1245 Ibirit Way La Romana 290 40926 331888642162 2006-02-15 09:45:30
443 1836 Korla Parkway Copperbelt 272 55405 689681677428 2006-02-15 09:45:30
444 231 Kaliningrad Place Lombardia 70 57833 575081026569 2006-02-15 09:45:30
445 495 Bhimavaram Lane Maharashtra 144 3 82088937724 2006-02-15 09:45:30
446 1924 Shimonoseki Drive Batna 59 52625 406784385440 2006-02-15 09:45:30
447 105 Dzerzinsk Manor Inner Mongolia 540 48570 240776414296 2006-02-15 09:45:30
448 614 Denizli Parkway Rio Grande do Sul 486 29444 876491807547 2006-02-15 09:45:30
449 1289 Belm Boulevard Tartumaa 530 88306 237368926031 2006-02-15 09:45:30
450 203 Tambaram Street Buenos Aires 161 73942 411549550611 2006-02-15 09:45:30
451 1704 Tambaram Manor West Bengali 554 2834 39463554936 2006-02-15 09:45:30
452 207 Cuernavaca Loop Tatarstan 352 52671 782900030287 2006-02-15 09:45:30
453 319 Springs Loop Baijeri 160 99552 72524459905 2006-02-15 09:45:30
454 956 Nam Dinh Manor Kerman 481 21872 474047727727 2006-02-15 09:45:30
455 1947 Paarl Way Central Java 509 23636 834061016202 2006-02-15 09:45:30
456 814 Simferopol Loop Sinaloa 154 48745 524567129902 2006-02-15 09:45:30
457 535 Ahmadnagar Manor Abu Dhabi 3 41136 985109775584 2006-02-15 09:45:30
458 138 Caracas Boulevard Zulia 326 16790 974433019532 2006-02-15 09:45:30
459 251 Florencia Drive Michoacn de Ocampo 556 16119 118011831565 2006-02-15 09:45:30
460 659 Gatineau Boulevard La Paz 153 28587 205524798287 2006-02-15 09:45:30
461 1889 Valparai Way Ziguinchor 600 75559 670370974122 2006-02-15 09:45:30
462 1485 Bratislava Place Illinois 435 83183 924663855568 2006-02-15 09:45:30
463 935 Aden Boulevard Central Java 532 64709 335052544020 2006-02-15 09:45:30
464 76 Kermanshah Manor Esfahan 423 23343 762361821578 2006-02-15 09:45:30
465 734 Tanshui Avenue Caquet 170 70664 366776723320 2006-02-15 09:45:30
466 118 Jaffna Loop Northern Mindanao 182 10447 325526730021 2006-02-15 09:45:30
467 1621 Tongliao Avenue Irkutsk 558 22173 209342540247 2006-02-15 09:45:30
468 1844 Usak Avenue Nova Scotia 196 84461 164414772677 2006-02-15 09:45:30
469 1872 Toulon Loop OHiggins 428 7939 928809465153 2006-02-15 09:45:30
470 1088 Ibirit Place Jalisco 595 88502 49084281333 2006-02-15 09:45:30
471 1322 Mosul Parkway Shandong 145 95400 268053970382 2006-02-15 09:45:30
472 1447 Chatsworth Place Chihuahua 129 41545 769370126331 2006-02-15 09:45:30
473 1257 Guadalajara Street Karnataka 78 33599 195337700615 2006-02-15 09:45:30
474 1469 Plock Lane Galicia 388 95835 622884741180 2006-02-15 09:45:30
475 434 Ourense (Orense) Manor Hodeida 206 14122 562370137426 2006-02-15 09:45:30
476 270 Tambaram Parkway Gauteng 244 9668 248446668735 2006-02-15 09:45:30
477 1786 Salinas Place Nam Ha 359 66546 206060652238 2006-02-15 09:45:30
478 1078 Stara Zagora Drive Aceh 301 69221 932992626595 2006-02-15 09:45:30
479 1854 Okara Boulevard Drenthe 158 42123 131912793873 2006-02-15 09:45:30
480 421 Yaound Street Sumy 385 11363 726875628268 2006-02-15 09:45:30
481 1153 Allende Way Qubec 179 20336 856872225376 2006-02-15 09:45:30
482 808 Naala-Porto Parkway England 500 41060 553452430707 2006-02-15 09:45:30
483 632 Usolje-Sibirskoje Parkway Ha Darom 36 73085 667648979883 2006-02-15 09:45:30
484 98 Pyongyang Boulevard Ohio 11 88749 191958435142 2006-02-15 09:45:30
485 984 Novoterkassk Loop Gaziantep 180 28165 435118527255 2006-02-15 09:45:30
486 64 Korla Street Mwanza 347 25145 510383179153 2006-02-15 09:45:30
487 1785 So Bernardo do Campo Street Veracruz 125 71182 684529463244 2006-02-15 09:45:30
488 698 Jelets Boulevard Denizli 142 2596 975185523021 2006-02-15 09:45:30
489 1297 Alvorada Parkway Ningxia 587 11839 508348602835 2006-02-15 09:45:30
490 1909 Dayton Avenue Guangdong 469 88513 702955450528 2006-02-15 09:45:30
491 1789 Saint-Denis Parkway Coahuila de Zaragoza 4 8268 936806643983 2006-02-15 09:45:30
492 185 Mannheim Lane Stavropol 408 23661 589377568313 2006-02-15 09:45:30
493 184 Mandaluyong Street Baja California Sur 288 94239 488425406814 2006-02-15 09:45:30
494 591 Sungai Petani Drive Okayama 376 46400 37247325001 2006-02-15 09:45:30
495 656 Matamoros Drive Boyac 487 19489 17305839123 2006-02-15 09:45:30
496 775 ostka Drive al-Daqahliya 337 22358 171973024401 2006-02-15 09:45:30
497 1013 Tabuk Boulevard West Bengali 261 96203 158399646978 2006-02-15 09:45:30
498 319 Plock Parkway Istanbul 504 26101 854259976812 2006-02-15 09:45:30
499 1954 Kowloon and New Kowloon Way Chimborazo 434 63667 898559280434 2006-02-15 09:45:30
500 362 Rajkot Lane Gansu 47 98030 962020153680 2006-02-15 09:45:30
501 1060 Tandil Lane Shandong 432 72349 211256301880 2006-02-15 09:45:30
502 1515 Korla Way England 589 57197 959467760895 2006-02-15 09:45:30
503 1416 San Juan Bautista Tuxtepec Avenue Zufar 444 50592 144206758053 2006-02-15 09:45:30
504 1 Valle de Santiago Avenue Apulia 93 86208 465897838272 2006-02-15 09:45:30
505 519 Brescia Parkway East Java 318 69504 793996678771 2006-02-15 09:45:30
506 414 Mandaluyong Street Lubelskie 314 16370 52709222667 2006-02-15 09:45:30
507 1197 Sokoto Boulevard West Bengali 478 87687 868602816371 2006-02-15 09:45:30
508 496 Celaya Drive Nagano 552 90797 759586584889 2006-02-15 09:45:30
509 786 Matsue Way Illinois 245 37469 111177206479 2006-02-15 09:45:30
510 48 Maracabo Place Central Luzon 519 1570 82671830126 2006-02-15 09:45:30
511 1152 al-Qatif Lane Kalimantan Barat 412 44816 131370665218 2006-02-15 09:45:30
512 1269 Ipoh Avenue Eskisehir 163 54674 402630109080 2006-02-15 09:45:30
513 758 Korolev Parkway Andhra Pradesh 568 75474 441628280920 2006-02-15 09:45:30
514 1747 Rustenburg Place Bihar 110 51369 442673923363 2006-02-15 09:45:30
515 886 Tonghae Place Volgograd 259 19450 711928348157 2006-02-15 09:45:30
516 1574 Goinia Boulevard Heilongjiang 502 39529 59634255214 2006-02-15 09:45:30
517 548 Uruapan Street Ontario 312 35653 879347453467 2006-02-15 09:45:30
519 962 Tama Loop 583 65952 282667506728 2006-02-15 09:45:30
520 1778 Gijn Manor Hubei 594 35156 288910576761 2006-02-15 09:45:30
521 568 Dhule (Dhulia) Loop Coquimbo 127 92568 602101369463 2006-02-15 09:45:30
522 1768 Udine Loop Battambang 60 32347 448876499197 2006-02-15 09:45:30
523 608 Birgunj Parkway Taipei 116 400 627425618482 2006-02-15 09:45:30
524 680 A Corua (La Corua) Manor Sivas 482 49806 158326114853 2006-02-15 09:45:30
525 1949 Sanya Street Gumma 224 61244 132100972047 2006-02-15 09:45:30
526 617 Klerksdorp Place Khanh Hoa 366 94707 574973479129 2006-02-15 09:45:30
527 1993 0 Loop Liaoning 588 41214 25865528181 2006-02-15 09:45:30
528 1176 Southend-on-Sea Manor Southern Tagalog 458 81651 236679267178 2006-02-15 09:45:30
529 600 Purnea (Purnia) Avenue Nghe An 571 18043 638409958875 2006-02-15 09:45:30
530 1003 Qinhuangdao Street West Java 419 25972 35533115997 2006-02-15 09:45:30
531 1986 Sivas Place Friuli-Venezia Giuli 551 95775 182059202712 2006-02-15 09:45:30
532 1427 Tabuk Place Florida 101 31342 214756839122 2006-02-15 09:45:30
533 556 Asuncin Way Mogiljov 339 35364 338244023543 2006-02-15 09:45:30
534 486 Ondo Parkway Benguela 67 35202 105882218332 2006-02-15 09:45:30
535 635 Brest Manor Andhra Pradesh 75 40899 80593242951 2006-02-15 09:45:30
536 166 Jinchang Street Buenos Aires 165 86760 717566026669 2006-02-15 09:45:30
537 958 Sagamihara Lane Mie 287 88408 427274926505 2006-02-15 09:45:30
538 1817 Livorno Way Khanh Hoa 100 79401 478380208348 2006-02-15 09:45:30
539 1332 Gaziantep Lane Shandong 80 22813 383353187467 2006-02-15 09:45:30
540 949 Allende Lane Uttar Pradesh 24 67521 122981120653 2006-02-15 09:45:30
541 195 Ilorin Street Chari-Baguirmi 363 49250 8912935608 2006-02-15 09:45:30
542 193 Bhusawal Place Kang-won 539 9750 745267607502 2006-02-15 09:45:30
543 43 Vilnius Manor Colorado 42 79814 484500282381 2006-02-15 09:45:30
544 183 Haiphong Street Jilin 46 69953 488600270038 2006-02-15 09:45:30
545 163 Augusta-Richmond County Loop Carabobo 561 33030 754579047924 2006-02-15 09:45:30
546 191 Jos Azueta Parkway Ruse 436 13629 932156667696 2006-02-15 09:45:30
547 379 Lublin Parkway Toscana 309 74568 921960450089 2006-02-15 09:45:30
548 1658 Cuman Loop Sumatera Selatan 396 51309 784907335610 2006-02-15 09:45:30
549 454 Qinhuangdao Drive Tadla-Azilal 68 25866 786270036240 2006-02-15 09:45:30
550 1715 Okayama Street So Paulo 485 55676 169352919175 2006-02-15 09:45:30
551 182 Nukualofa Drive Sumy 275 15414 426346224043 2006-02-15 09:45:30
552 390 Wroclaw Way Hainan 462 5753 357593328658 2006-02-15 09:45:30
553 1421 Quilmes Lane Ishikawa 260 19151 135407755975 2006-02-15 09:45:30
554 947 Trshavn Place Central Luzon 528 841 50898428626 2006-02-15 09:45:30
555 1764 Jalib al-Shuyukh Parkway Galicia 459 77642 84794532510 2006-02-15 09:45:30
556 346 Cam Ranh Avenue Zhejiang 599 39976 978430786151 2006-02-15 09:45:30
557 1407 Pachuca de Soto Place Rio Grande do Sul 21 26284 380077794770 2006-02-15 09:45:30
558 904 Clarksville Drive Zhejiang 193 52234 955349440539 2006-02-15 09:45:30
559 1917 Kumbakonam Parkway Vojvodina 368 11892 698182547686 2006-02-15 09:45:30
560 1447 Imus Place Gujarat 426 12905 62127829280 2006-02-15 09:45:30
561 1497 Fengshan Drive KwaZulu-Natal 112 63022 368738360376 2006-02-15 09:45:30
562 869 Shikarpur Way England 496 57380 590764256785 2006-02-15 09:45:30
563 1059 Yuncheng Avenue Vilna 570 47498 107092893983 2006-02-15 09:45:30
564 505 Madiun Boulevard Dolnoslaskie 577 97271 970638808606 2006-02-15 09:45:30
565 1741 Hoshiarpur Boulevard al-Sharqiya 79 22372 855066328617 2006-02-15 09:45:30
566 1229 Varanasi (Benares) Manor Buenos Aires 43 40195 817740355461 2006-02-15 09:45:30
567 1894 Boa Vista Way Texas 178 77464 239357986667 2006-02-15 09:45:30
568 1342 Sharja Way Sokoto & Kebbi & Zam 488 93655 946114054231 2006-02-15 09:45:30
569 1342 Abha Boulevard Bukarest 95 10714 997453607116 2006-02-15 09:45:30
570 415 Pune Avenue Shandong 580 44274 203202500108 2006-02-15 09:45:30
571 1746 Faaa Way Huanuco 214 32515 863080561151 2006-02-15 09:45:30
572 539 Hami Way Tokat 538 52196 525518075499 2006-02-15 09:45:30
573 1407 Surakarta Manor Moskova 466 33224 324346485054 2006-02-15 09:45:30
574 502 Mandi Bahauddin Parkway Anzotegui 55 15992 618156722572 2006-02-15 09:45:30
575 1052 Pathankot Avenue Sichuan 299 77397 128499386727 2006-02-15 09:45:30
576 1351 Sousse Lane Coahuila de Zaragoza 341 37815 203804046132 2006-02-15 09:45:30
577 1501 Pangkal Pinang Avenue Mazowieckie 409 943 770864062795 2006-02-15 09:45:30
578 1405 Hagonoy Avenue Slaskie 133 86587 867287719310 2006-02-15 09:45:30
579 521 San Juan Bautista Tuxtepec Place Qaraghandy 598 95093 844018348565 2006-02-15 09:45:30
580 923 Tangail Boulevard Tokyo-to 10 33384 315528269898 2006-02-15 09:45:30
581 186 Skikda Lane Morelos 131 89422 14465669789 2006-02-15 09:45:30
582 1568 Celaya Parkway Kaohsiung 168 34750 278669994384 2006-02-15 09:45:30
583 1489 Kakamigahara Lane Taipei 526 98883 29341849811 2006-02-15 09:45:30
584 1819 Alessandria Loop Campeche 103 53829 377633994405 2006-02-15 09:45:30
585 1208 Tama Loop Ninawa 344 73605 954786054144 2006-02-15 09:45:30
586 951 Springs Lane Central Mindanao 219 96115 165164761435 2006-02-15 09:45:30
587 760 Miyakonojo Drive Guerrero 246 64682 294449058179 2006-02-15 09:45:30
588 966 Asuncin Way Hidalgo 212 62703 995527378381 2006-02-15 09:45:30
589 1584 Ljubertsy Lane England 494 22954 285710089439 2006-02-15 09:45:30
590 247 Jining Parkway Banjul 54 53446 170115379190 2006-02-15 09:45:30
591 773 Dallas Manor Buenos Aires 424 12664 914466027044 2006-02-15 09:45:30
592 1923 Stara Zagora Lane Nantou 546 95179 182178609211 2006-02-15 09:45:30
593 1402 Zanzibar Boulevard Guanajuato 106 71102 387448063440 2006-02-15 09:45:30
594 1464 Kursk Parkway Shandong 574 17381 338758048786 2006-02-15 09:45:30
595 1074 Sanaa Parkway Loja 311 22474 154124128457 2006-02-15 09:45:30
596 1759 Niznekamsk Avenue al-Manama 14 39414 864392582257 2006-02-15 09:45:30
597 32 Liaocheng Way Minas Gerais 248 1944 410877354933 2006-02-15 09:45:30
598 42 Fontana Avenue Fejr 512 14684 437829801725 2006-02-15 09:45:30
599 1895 Zhezqazghan Drive California 177 36693 137809746111 2006-02-15 09:45:30
600 1837 Kaduna Parkway Inner Mongolia 241 82580 640843562301 2006-02-15 09:45:30
601 844 Bucuresti Place Liaoning 242 36603 935952366111 2006-02-15 09:45:30
602 1101 Bucuresti Boulevard West Greece 401 97661 199514580428 2006-02-15 09:45:30
603 1103 Quilmes Boulevard Piura 503 52137 644021380889 2006-02-15 09:45:30
604 1331 Usak Boulevard Vaud 296 61960 145308717464 2006-02-15 09:45:30
605 1325 Fukuyama Street Heilongjiang 537 27107 288241215394 2006-02-15 09:45:30
\.
--
-- TOC entry 2977 (class 0 OID 18425)
-- Dependencies: 201
-- Data for Name: category; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY public.category (category_id, name, last_update) FROM stdin;
1 Action 2006-02-15 09:46:27
2 Animation 2006-02-15 09:46:27
3 Children 2006-02-15 09:46:27
4 Classics 2006-02-15 09:46:27
5 Comedy 2006-02-15 09:46:27
6 Documentary 2006-02-15 09:46:27
7 Drama 2006-02-15 09:46:27
8 Family 2006-02-15 09:46:27
9 Foreign 2006-02-15 09:46:27
10 Games 2006-02-15 09:46:27
11 Horror 2006-02-15 09:46:27
12 Music 2006-02-15 09:46:27
13 New 2006-02-15 09:46:27
14 Sci-Fi 2006-02-15 09:46:27
15 Sports 2006-02-15 09:46:27
16 Travel 2006-02-15 09:46:27
\.
--
-- TOC entry 2979 (class 0 OID 18432)
-- Dependencies: 203
-- Data for Name: city; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY public.city (city_id, city, country_id, last_update) FROM stdin;
1 A Corua (La Corua) 87 2006-02-15 09:45:25
2 Abha 82 2006-02-15 09:45:25
3 Abu Dhabi 101 2006-02-15 09:45:25
4 Acua 60 2006-02-15 09:45:25
5 Adana 97 2006-02-15 09:45:25
6 Addis Abeba 31 2006-02-15 09:45:25
7 Aden 107 2006-02-15 09:45:25
8 Adoni 44 2006-02-15 09:45:25
9 Ahmadnagar 44 2006-02-15 09:45:25
10 Akishima 50 2006-02-15 09:45:25
11 Akron 103 2006-02-15 09:45:25
12 al-Ayn 101 2006-02-15 09:45:25
13 al-Hawiya 82 2006-02-15 09:45:25
14 al-Manama 11 2006-02-15 09:45:25
15 al-Qadarif 89 2006-02-15 09:45:25
16 al-Qatif 82 2006-02-15 09:45:25
17 Alessandria 49 2006-02-15 09:45:25
18 Allappuzha (Alleppey) 44 2006-02-15 09:45:25
19 Allende 60 2006-02-15 09:45:25
20 Almirante Brown 6 2006-02-15 09:45:25
21 Alvorada 15 2006-02-15 09:45:25
22 Ambattur 44 2006-02-15 09:45:25
23 Amersfoort 67 2006-02-15 09:45:25
24 Amroha 44 2006-02-15 09:45:25
25 Angra dos Reis 15 2006-02-15 09:45:25
26 Anpolis 15 2006-02-15 09:45:25
27 Antofagasta 22 2006-02-15 09:45:25
28 Aparecida de Goinia 15 2006-02-15 09:45:25
29 Apeldoorn 67 2006-02-15 09:45:25
30 Araatuba 15 2006-02-15 09:45:25
31 Arak 46 2006-02-15 09:45:25
32 Arecibo 77 2006-02-15 09:45:25
33 Arlington 103 2006-02-15 09:45:25
34 Ashdod 48 2006-02-15 09:45:25
35 Ashgabat 98 2006-02-15 09:45:25
36 Ashqelon 48 2006-02-15 09:45:25
37 Asuncin 73 2006-02-15 09:45:25
38 Athenai 39 2006-02-15 09:45:25
39 Atinsk 80 2006-02-15 09:45:25
40 Atlixco 60 2006-02-15 09:45:25
41 Augusta-Richmond County 103 2006-02-15 09:45:25
42 Aurora 103 2006-02-15 09:45:25
43 Avellaneda 6 2006-02-15 09:45:25
44 Bag 15 2006-02-15 09:45:25
45 Baha Blanca 6 2006-02-15 09:45:25
46 Baicheng 23 2006-02-15 09:45:25
47 Baiyin 23 2006-02-15 09:45:25
48 Baku 10 2006-02-15 09:45:25
49 Balaiha 80 2006-02-15 09:45:25
50 Balikesir 97 2006-02-15 09:45:25
51 Balurghat 44 2006-02-15 09:45:25
52 Bamenda 19 2006-02-15 09:45:25
53 Bandar Seri Begawan 16 2006-02-15 09:45:25
54 Banjul 37 2006-02-15 09:45:25
55 Barcelona 104 2006-02-15 09:45:25
56 Basel 91 2006-02-15 09:45:25
57 Bat Yam 48 2006-02-15 09:45:25
58 Batman 97 2006-02-15 09:45:25
59 Batna 2 2006-02-15 09:45:25
60 Battambang 18 2006-02-15 09:45:25
61 Baybay 75 2006-02-15 09:45:25
62 Bayugan 75 2006-02-15 09:45:25
63 Bchar 2 2006-02-15 09:45:25
64 Beira 63 2006-02-15 09:45:25
65 Bellevue 103 2006-02-15 09:45:25
66 Belm 15 2006-02-15 09:45:25
67 Benguela 4 2006-02-15 09:45:25
68 Beni-Mellal 62 2006-02-15 09:45:25
69 Benin City 69 2006-02-15 09:45:25
70 Bergamo 49 2006-02-15 09:45:25
71 Berhampore (Baharampur) 44 2006-02-15 09:45:25
72 Bern 91 2006-02-15 09:45:25
73 Bhavnagar 44 2006-02-15 09:45:25
74 Bhilwara 44 2006-02-15 09:45:25
75 Bhimavaram 44 2006-02-15 09:45:25
76 Bhopal 44 2006-02-15 09:45:25
77 Bhusawal 44 2006-02-15 09:45:25
78 Bijapur 44 2006-02-15 09:45:25
79 Bilbays 29 2006-02-15 09:45:25
80 Binzhou 23 2006-02-15 09:45:25
81 Birgunj 66 2006-02-15 09:45:25
82 Bislig 75 2006-02-15 09:45:25
83 Blumenau 15 2006-02-15 09:45:25
84 Boa Vista 15 2006-02-15 09:45:25
85 Boksburg 85 2006-02-15 09:45:25
86 Botosani 78 2006-02-15 09:45:25
87 Botshabelo 85 2006-02-15 09:45:25
88 Bradford 102 2006-02-15 09:45:25
89 Braslia 15 2006-02-15 09:45:25
90 Bratislava 84 2006-02-15 09:45:25
91 Brescia 49 2006-02-15 09:45:25
92 Brest 34 2006-02-15 09:45:25
93 Brindisi 49 2006-02-15 09:45:25
94 Brockton 103 2006-02-15 09:45:25
95 Bucuresti 78 2006-02-15 09:45:25
96 Buenaventura 24 2006-02-15 09:45:25
97 Bydgoszcz 76 2006-02-15 09:45:25
98 Cabuyao 75 2006-02-15 09:45:25
99 Callao 74 2006-02-15 09:45:25
100 Cam Ranh 105 2006-02-15 09:45:25
101 Cape Coral 103 2006-02-15 09:45:25
102 Caracas 104 2006-02-15 09:45:25
103 Carmen 60 2006-02-15 09:45:25
104 Cavite 75 2006-02-15 09:45:25
105 Cayenne 35 2006-02-15 09:45:25
106 Celaya 60 2006-02-15 09:45:25
107 Chandrapur 44 2006-02-15 09:45:25
108 Changhwa 92 2006-02-15 09:45:25
109 Changzhou 23 2006-02-15 09:45:25
110 Chapra 44 2006-02-15 09:45:25
111 Charlotte Amalie 106 2006-02-15 09:45:25
112 Chatsworth 85 2006-02-15 09:45:25
113 Cheju 86 2006-02-15 09:45:25
114 Chiayi 92 2006-02-15 09:45:25
115 Chisinau 61 2006-02-15 09:45:25
116 Chungho 92 2006-02-15 09:45:25
117 Cianjur 45 2006-02-15 09:45:25
118 Ciomas 45 2006-02-15 09:45:25
119 Ciparay 45 2006-02-15 09:45:25
120 Citrus Heights 103 2006-02-15 09:45:25
121 Citt del Vaticano 41 2006-02-15 09:45:25
122 Ciudad del Este 73 2006-02-15 09:45:25
123 Clarksville 103 2006-02-15 09:45:25
124 Coacalco de Berriozbal 60 2006-02-15 09:45:25
125 Coatzacoalcos 60 2006-02-15 09:45:25
126 Compton 103 2006-02-15 09:45:25
127 Coquimbo 22 2006-02-15 09:45:25
128 Crdoba 6 2006-02-15 09:45:25
129 Cuauhtmoc 60 2006-02-15 09:45:25
130 Cuautla 60 2006-02-15 09:45:25
131 Cuernavaca 60 2006-02-15 09:45:25
132 Cuman 104 2006-02-15 09:45:25
133 Czestochowa 76 2006-02-15 09:45:25
134 Dadu 72 2006-02-15 09:45:25
135 Dallas 103 2006-02-15 09:45:25
136 Datong 23 2006-02-15 09:45:25
137 Daugavpils 54 2006-02-15 09:45:25
138 Davao 75 2006-02-15 09:45:25
139 Daxian 23 2006-02-15 09:45:25
140 Dayton 103 2006-02-15 09:45:25
141 Deba Habe 69 2006-02-15 09:45:25
142 Denizli 97 2006-02-15 09:45:25
143 Dhaka 12 2006-02-15 09:45:25
144 Dhule (Dhulia) 44 2006-02-15 09:45:25
145 Dongying 23 2006-02-15 09:45:25
146 Donostia-San Sebastin 87 2006-02-15 09:45:25
147 Dos Quebradas 24 2006-02-15 09:45:25
148 Duisburg 38 2006-02-15 09:45:25
149 Dundee 102 2006-02-15 09:45:25
150 Dzerzinsk 80 2006-02-15 09:45:25
151 Ede 67 2006-02-15 09:45:25
152 Effon-Alaiye 69 2006-02-15 09:45:25
153 El Alto 14 2006-02-15 09:45:25
154 El Fuerte 60 2006-02-15 09:45:25
155 El Monte 103 2006-02-15 09:45:25
156 Elista 80 2006-02-15 09:45:25
157 Emeishan 23 2006-02-15 09:45:25
158 Emmen 67 2006-02-15 09:45:25
159 Enshi 23 2006-02-15 09:45:25
160 Erlangen 38 2006-02-15 09:45:25
161 Escobar 6 2006-02-15 09:45:25
162 Esfahan 46 2006-02-15 09:45:25
163 Eskisehir 97 2006-02-15 09:45:25
164 Etawah 44 2006-02-15 09:45:25
165 Ezeiza 6 2006-02-15 09:45:25
166 Ezhou 23 2006-02-15 09:45:25
167 Faaa 36 2006-02-15 09:45:25
168 Fengshan 92 2006-02-15 09:45:25
169 Firozabad 44 2006-02-15 09:45:25
170 Florencia 24 2006-02-15 09:45:25
171 Fontana 103 2006-02-15 09:45:25
172 Fukuyama 50 2006-02-15 09:45:25
173 Funafuti 99 2006-02-15 09:45:25
174 Fuyu 23 2006-02-15 09:45:25
175 Fuzhou 23 2006-02-15 09:45:25
176 Gandhinagar 44 2006-02-15 09:45:25
177 Garden Grove 103 2006-02-15 09:45:25
178 Garland 103 2006-02-15 09:45:25
179 Gatineau 20 2006-02-15 09:45:25
180 Gaziantep 97 2006-02-15 09:45:25
181 Gijn 87 2006-02-15 09:45:25
182 Gingoog 75 2006-02-15 09:45:25
183 Goinia 15 2006-02-15 09:45:25
184 Gorontalo 45 2006-02-15 09:45:25
185 Grand Prairie 103 2006-02-15 09:45:25
186 Graz 9 2006-02-15 09:45:25
187 Greensboro 103 2006-02-15 09:45:25
188 Guadalajara 60 2006-02-15 09:45:25
189 Guaruj 15 2006-02-15 09:45:25
190 guas Lindas de Gois 15 2006-02-15 09:45:25
191 Gulbarga 44 2006-02-15 09:45:25
192 Hagonoy 75 2006-02-15 09:45:25
193 Haining 23 2006-02-15 09:45:25
194 Haiphong 105 2006-02-15 09:45:25
195 Haldia 44 2006-02-15 09:45:25
196 Halifax 20 2006-02-15 09:45:25
197 Halisahar 44 2006-02-15 09:45:25
198 Halle/Saale 38 2006-02-15 09:45:25
199 Hami 23 2006-02-15 09:45:25
200 Hamilton 68 2006-02-15 09:45:25
201 Hanoi 105 2006-02-15 09:45:25
202 Hidalgo 60 2006-02-15 09:45:25
203 Higashiosaka 50 2006-02-15 09:45:25
204 Hino 50 2006-02-15 09:45:25
205 Hiroshima 50 2006-02-15 09:45:25
206 Hodeida 107 2006-02-15 09:45:25
207 Hohhot 23 2006-02-15 09:45:25
208 Hoshiarpur 44 2006-02-15 09:45:25
209 Hsichuh 92 2006-02-15 09:45:25
210 Huaian 23 2006-02-15 09:45:25
211 Hubli-Dharwad 44 2006-02-15 09:45:25
212 Huejutla de Reyes 60 2006-02-15 09:45:25
213 Huixquilucan 60 2006-02-15 09:45:25
214 Hunuco 74 2006-02-15 09:45:25
215 Ibirit 15 2006-02-15 09:45:25
216 Idfu 29 2006-02-15 09:45:25
217 Ife 69 2006-02-15 09:45:25
218 Ikerre 69 2006-02-15 09:45:25
219 Iligan 75 2006-02-15 09:45:25
220 Ilorin 69 2006-02-15 09:45:25
221 Imus 75 2006-02-15 09:45:25
222 Inegl 97 2006-02-15 09:45:25
223 Ipoh 59 2006-02-15 09:45:25
224 Isesaki 50 2006-02-15 09:45:25
225 Ivanovo 80 2006-02-15 09:45:25
226 Iwaki 50 2006-02-15 09:45:25
227 Iwakuni 50 2006-02-15 09:45:25
228 Iwatsuki 50 2006-02-15 09:45:25
229 Izumisano 50 2006-02-15 09:45:25
230 Jaffna 88 2006-02-15 09:45:25
231 Jaipur 44 2006-02-15 09:45:25
232 Jakarta 45 2006-02-15 09:45:25
233 Jalib al-Shuyukh 53 2006-02-15 09:45:25
234 Jamalpur 12 2006-02-15 09:45:25
235 Jaroslavl 80 2006-02-15 09:45:25
236 Jastrzebie-Zdrj 76 2006-02-15 09:45:25
237 Jedda 82 2006-02-15 09:45:25
238 Jelets 80 2006-02-15 09:45:25
239 Jhansi 44 2006-02-15 09:45:25
240 Jinchang 23 2006-02-15 09:45:25
241 Jining 23 2006-02-15 09:45:25
242 Jinzhou 23 2006-02-15 09:45:25
243 Jodhpur 44 2006-02-15 09:45:25
244 Johannesburg 85 2006-02-15 09:45:25
245 Joliet 103 2006-02-15 09:45:25
246 Jos Azueta 60 2006-02-15 09:45:25
247 Juazeiro do Norte 15 2006-02-15 09:45:25
248 Juiz de Fora 15 2006-02-15 09:45:25
249 Junan 23 2006-02-15 09:45:25
250 Jurez 60 2006-02-15 09:45:25
251 Kabul 1 2006-02-15 09:45:25
252 Kaduna 69 2006-02-15 09:45:25
253 Kakamigahara 50 2006-02-15 09:45:25
254 Kaliningrad 80 2006-02-15 09:45:25
255 Kalisz 76 2006-02-15 09:45:25
256 Kamakura 50 2006-02-15 09:45:25
257 Kamarhati 44 2006-02-15 09:45:25
258 Kamjanets-Podilskyi 100 2006-02-15 09:45:25
259 Kamyin 80 2006-02-15 09:45:25
260 Kanazawa 50 2006-02-15 09:45:25
261 Kanchrapara 44 2006-02-15 09:45:25
262 Kansas City 103 2006-02-15 09:45:25
263 Karnal 44 2006-02-15 09:45:25
264 Katihar 44 2006-02-15 09:45:25
265 Kermanshah 46 2006-02-15 09:45:25
266 Kilis 97 2006-02-15 09:45:25
267 Kimberley 85 2006-02-15 09:45:25
268 Kimchon 86 2006-02-15 09:45:25
269 Kingstown 81 2006-02-15 09:45:25
270 Kirovo-Tepetsk 80 2006-02-15 09:45:25
271 Kisumu 52 2006-02-15 09:45:25
272 Kitwe 109 2006-02-15 09:45:25
273 Klerksdorp 85 2006-02-15 09:45:25
274 Kolpino 80 2006-02-15 09:45:25
275 Konotop 100 2006-02-15 09:45:25
276 Koriyama 50 2006-02-15 09:45:25
277 Korla 23 2006-02-15 09:45:25
278 Korolev 80 2006-02-15 09:45:25
279 Kowloon and New Kowloon 42 2006-02-15 09:45:25
280 Kragujevac 108 2006-02-15 09:45:25
281 Ktahya 97 2006-02-15 09:45:25
282 Kuching 59 2006-02-15 09:45:25
283 Kumbakonam 44 2006-02-15 09:45:25
284 Kurashiki 50 2006-02-15 09:45:25
285 Kurgan 80 2006-02-15 09:45:25
286 Kursk 80 2006-02-15 09:45:25
287 Kuwana 50 2006-02-15 09:45:25
288 La Paz 60 2006-02-15 09:45:25
289 La Plata 6 2006-02-15 09:45:25
290 La Romana 27 2006-02-15 09:45:25
291 Laiwu 23 2006-02-15 09:45:25
292 Lancaster 103 2006-02-15 09:45:25
293 Laohekou 23 2006-02-15 09:45:25
294 Lapu-Lapu 75 2006-02-15 09:45:25
295 Laredo 103 2006-02-15 09:45:25
296 Lausanne 91 2006-02-15 09:45:25
297 Le Mans 34 2006-02-15 09:45:25
298 Lengshuijiang 23 2006-02-15 09:45:25
299 Leshan 23 2006-02-15 09:45:25
300 Lethbridge 20 2006-02-15 09:45:25
301 Lhokseumawe 45 2006-02-15 09:45:25
302 Liaocheng 23 2006-02-15 09:45:25
303 Liepaja 54 2006-02-15 09:45:25
304 Lilongwe 58 2006-02-15 09:45:25
305 Lima 74 2006-02-15 09:45:25
306 Lincoln 103 2006-02-15 09:45:25
307 Linz 9 2006-02-15 09:45:25
308 Lipetsk 80 2006-02-15 09:45:25
309 Livorno 49 2006-02-15 09:45:25
310 Ljubertsy 80 2006-02-15 09:45:25
311 Loja 28 2006-02-15 09:45:25
312 London 102 2006-02-15 09:45:25
313 London 20 2006-02-15 09:45:25
314 Lublin 76 2006-02-15 09:45:25
315 Lubumbashi 25 2006-02-15 09:45:25
316 Lungtan 92 2006-02-15 09:45:25
317 Luzinia 15 2006-02-15 09:45:25
318 Madiun 45 2006-02-15 09:45:25
319 Mahajanga 57 2006-02-15 09:45:25
320 Maikop 80 2006-02-15 09:45:25
321 Malm 90 2006-02-15 09:45:25
322 Manchester 103 2006-02-15 09:45:25
323 Mandaluyong 75 2006-02-15 09:45:25
324 Mandi Bahauddin 72 2006-02-15 09:45:25
325 Mannheim 38 2006-02-15 09:45:25
326 Maracabo 104 2006-02-15 09:45:25
327 Mardan 72 2006-02-15 09:45:25
328 Maring 15 2006-02-15 09:45:25
329 Masqat 71 2006-02-15 09:45:25
330 Matamoros 60 2006-02-15 09:45:25
331 Matsue 50 2006-02-15 09:45:25
332 Meixian 23 2006-02-15 09:45:25
333 Memphis 103 2006-02-15 09:45:25
334 Merlo 6 2006-02-15 09:45:25
335 Mexicali 60 2006-02-15 09:45:25
336 Miraj 44 2006-02-15 09:45:25
337 Mit Ghamr 29 2006-02-15 09:45:25
338 Miyakonojo 50 2006-02-15 09:45:25
339 Mogiljov 13 2006-02-15 09:45:25
340 Molodetno 13 2006-02-15 09:45:25
341 Monclova 60 2006-02-15 09:45:25
342 Monywa 64 2006-02-15 09:45:25
343 Moscow 80 2006-02-15 09:45:25
344 Mosul 47 2006-02-15 09:45:25
345 Mukateve 100 2006-02-15 09:45:25
346 Munger (Monghyr) 44 2006-02-15 09:45:25
347 Mwanza 93 2006-02-15 09:45:25
348 Mwene-Ditu 25 2006-02-15 09:45:25
349 Myingyan 64 2006-02-15 09:45:25
350 Mysore 44 2006-02-15 09:45:25
351 Naala-Porto 63 2006-02-15 09:45:25
352 Nabereznyje Telny 80 2006-02-15 09:45:25
353 Nador 62 2006-02-15 09:45:25
354 Nagaon 44 2006-02-15 09:45:25
355 Nagareyama 50 2006-02-15 09:45:25
356 Najafabad 46 2006-02-15 09:45:25
357 Naju 86 2006-02-15 09:45:25
358 Nakhon Sawan 94 2006-02-15 09:45:25
359 Nam Dinh 105 2006-02-15 09:45:25
360 Namibe 4 2006-02-15 09:45:25
361 Nantou 92 2006-02-15 09:45:25
362 Nanyang 23 2006-02-15 09:45:25
363 NDjamna 21 2006-02-15 09:45:25
364 Newcastle 85 2006-02-15 09:45:25
365 Nezahualcyotl 60 2006-02-15 09:45:25
366 Nha Trang 105 2006-02-15 09:45:25
367 Niznekamsk 80 2006-02-15 09:45:25
368 Novi Sad 108 2006-02-15 09:45:25
369 Novoterkassk 80 2006-02-15 09:45:25
370 Nukualofa 95 2006-02-15 09:45:25
371 Nuuk 40 2006-02-15 09:45:25
372 Nyeri 52 2006-02-15 09:45:25
373 Ocumare del Tuy 104 2006-02-15 09:45:25
374 Ogbomosho 69 2006-02-15 09:45:25
375 Okara 72 2006-02-15 09:45:25
376 Okayama 50 2006-02-15 09:45:25
377 Okinawa 50 2006-02-15 09:45:25
378 Olomouc 26 2006-02-15 09:45:25
379 Omdurman 89 2006-02-15 09:45:25
380 Omiya 50 2006-02-15 09:45:25
381 Ondo 69 2006-02-15 09:45:25
382 Onomichi 50 2006-02-15 09:45:25
383 Oshawa 20 2006-02-15 09:45:25
384 Osmaniye 97 2006-02-15 09:45:25
385 ostka 100 2006-02-15 09:45:25
386 Otsu 50 2006-02-15 09:45:25
387 Oulu 33 2006-02-15 09:45:25
388 Ourense (Orense) 87 2006-02-15 09:45:25
389 Owo 69 2006-02-15 09:45:25
390 Oyo 69 2006-02-15 09:45:25
391 Ozamis 75 2006-02-15 09:45:25
392 Paarl 85 2006-02-15 09:45:25
393 Pachuca de Soto 60 2006-02-15 09:45:25
394 Pak Kret 94 2006-02-15 09:45:25
395 Palghat (Palakkad) 44 2006-02-15 09:45:25
396 Pangkal Pinang 45 2006-02-15 09:45:25
397 Papeete 36 2006-02-15 09:45:25
398 Parbhani 44 2006-02-15 09:45:25
399 Pathankot 44 2006-02-15 09:45:25
400 Patiala 44 2006-02-15 09:45:25
401 Patras 39 2006-02-15 09:45:25
402 Pavlodar 51 2006-02-15 09:45:25
403 Pemalang 45 2006-02-15 09:45:25
404 Peoria 103 2006-02-15 09:45:25
405 Pereira 24 2006-02-15 09:45:25
406 Phnom Penh 18 2006-02-15 09:45:25
407 Pingxiang 23 2006-02-15 09:45:25
408 Pjatigorsk 80 2006-02-15 09:45:25
409 Plock 76 2006-02-15 09:45:25
410 Po 15 2006-02-15 09:45:25
411 Ponce 77 2006-02-15 09:45:25
412 Pontianak 45 2006-02-15 09:45:25
413 Poos de Caldas 15 2006-02-15 09:45:25
414 Portoviejo 28 2006-02-15 09:45:25
415 Probolinggo 45 2006-02-15 09:45:25
416 Pudukkottai 44 2006-02-15 09:45:25
417 Pune 44 2006-02-15 09:45:25
418 Purnea (Purnia) 44 2006-02-15 09:45:25
419 Purwakarta 45 2006-02-15 09:45:25
420 Pyongyang 70 2006-02-15 09:45:25
421 Qalyub 29 2006-02-15 09:45:25
422 Qinhuangdao 23 2006-02-15 09:45:25
423 Qomsheh 46 2006-02-15 09:45:25
424 Quilmes 6 2006-02-15 09:45:25
425 Rae Bareli 44 2006-02-15 09:45:25
426 Rajkot 44 2006-02-15 09:45:25
427 Rampur 44 2006-02-15 09:45:25
428 Rancagua 22 2006-02-15 09:45:25
429 Ranchi 44 2006-02-15 09:45:25
430 Richmond Hill 20 2006-02-15 09:45:25
431 Rio Claro 15 2006-02-15 09:45:25
432 Rizhao 23 2006-02-15 09:45:25
433 Roanoke 103 2006-02-15 09:45:25
434 Robamba 28 2006-02-15 09:45:25
435 Rockford 103 2006-02-15 09:45:25
436 Ruse 17 2006-02-15 09:45:25
437 Rustenburg 85 2006-02-15 09:45:25
438 s-Hertogenbosch 67 2006-02-15 09:45:25
439 Saarbrcken 38 2006-02-15 09:45:25
440 Sagamihara 50 2006-02-15 09:45:25
441 Saint Louis 103 2006-02-15 09:45:25
442 Saint-Denis 79 2006-02-15 09:45:25
443 Sal 62 2006-02-15 09:45:25
444 Salala 71 2006-02-15 09:45:25
445 Salamanca 60 2006-02-15 09:45:25
446 Salinas 103 2006-02-15 09:45:25
447 Salzburg 9 2006-02-15 09:45:25
448 Sambhal 44 2006-02-15 09:45:25
449 San Bernardino 103 2006-02-15 09:45:25
450 San Felipe de Puerto Plata 27 2006-02-15 09:45:25
451 San Felipe del Progreso 60 2006-02-15 09:45:25
452 San Juan Bautista Tuxtepec 60 2006-02-15 09:45:25
453 San Lorenzo 73 2006-02-15 09:45:25
454 San Miguel de Tucumn 6 2006-02-15 09:45:25
455 Sanaa 107 2006-02-15 09:45:25
456 Santa Brbara dOeste 15 2006-02-15 09:45:25
457 Santa F 6 2006-02-15 09:45:25
458 Santa Rosa 75 2006-02-15 09:45:25
459 Santiago de Compostela 87 2006-02-15 09:45:25
460 Santiago de los Caballeros 27 2006-02-15 09:45:25
461 Santo Andr 15 2006-02-15 09:45:25
462 Sanya 23 2006-02-15 09:45:25
463 Sasebo 50 2006-02-15 09:45:25
464 Satna 44 2006-02-15 09:45:25
465 Sawhaj 29 2006-02-15 09:45:25
466 Serpuhov 80 2006-02-15 09:45:25
467 Shahr-e Kord 46 2006-02-15 09:45:25
468 Shanwei 23 2006-02-15 09:45:25
469 Shaoguan 23 2006-02-15 09:45:25
470 Sharja 101 2006-02-15 09:45:25
471 Shenzhen 23 2006-02-15 09:45:25
472 Shikarpur 72 2006-02-15 09:45:25
473 Shimoga 44 2006-02-15 09:45:25
474 Shimonoseki 50 2006-02-15 09:45:25
475 Shivapuri 44 2006-02-15 09:45:25
476 Shubra al-Khayma 29 2006-02-15 09:45:25
477 Siegen 38 2006-02-15 09:45:25
478 Siliguri (Shiliguri) 44 2006-02-15 09:45:25
479 Simferopol 100 2006-02-15 09:45:25
480 Sincelejo 24 2006-02-15 09:45:25
481 Sirjan 46 2006-02-15 09:45:25
482 Sivas 97 2006-02-15 09:45:25
483 Skikda 2 2006-02-15 09:45:25
484 Smolensk 80 2006-02-15 09:45:25
485 So Bernardo do Campo 15 2006-02-15 09:45:25
486 So Leopoldo 15 2006-02-15 09:45:25
487 Sogamoso 24 2006-02-15 09:45:25
488 Sokoto 69 2006-02-15 09:45:25
489 Songkhla 94 2006-02-15 09:45:25
490 Sorocaba 15 2006-02-15 09:45:25
491 Soshanguve 85 2006-02-15 09:45:25
492 Sousse 96 2006-02-15 09:45:25
493 South Hill 5 2006-02-15 09:45:25
494 Southampton 102 2006-02-15 09:45:25
495 Southend-on-Sea 102 2006-02-15 09:45:25
496 Southport 102 2006-02-15 09:45:25
497 Springs 85 2006-02-15 09:45:25
498 Stara Zagora 17 2006-02-15 09:45:25
499 Sterling Heights 103 2006-02-15 09:45:25
500 Stockport 102 2006-02-15 09:45:25
501 Sucre 14 2006-02-15 09:45:25
502 Suihua 23 2006-02-15 09:45:25
503 Sullana 74 2006-02-15 09:45:25
504 Sultanbeyli 97 2006-02-15 09:45:25
505 Sumqayit 10 2006-02-15 09:45:25
506 Sumy 100 2006-02-15 09:45:25
507 Sungai Petani 59 2006-02-15 09:45:25
508 Sunnyvale 103 2006-02-15 09:45:25
509 Surakarta 45 2006-02-15 09:45:25
510 Syktyvkar 80 2006-02-15 09:45:25
511 Syrakusa 49 2006-02-15 09:45:25
512 Szkesfehrvr 43 2006-02-15 09:45:25
513 Tabora 93 2006-02-15 09:45:25
514 Tabriz 46 2006-02-15 09:45:25
515 Tabuk 82 2006-02-15 09:45:25
516 Tafuna 3 2006-02-15 09:45:25
517 Taguig 75 2006-02-15 09:45:25
518 Taizz 107 2006-02-15 09:45:25
519 Talavera 75 2006-02-15 09:45:25
520 Tallahassee 103 2006-02-15 09:45:25
521 Tama 50 2006-02-15 09:45:25
522 Tambaram 44 2006-02-15 09:45:25
523 Tanauan 75 2006-02-15 09:45:25
524 Tandil 6 2006-02-15 09:45:25
525 Tangail 12 2006-02-15 09:45:25
526 Tanshui 92 2006-02-15 09:45:25
527 Tanza 75 2006-02-15 09:45:25
528 Tarlac 75 2006-02-15 09:45:25
529 Tarsus 97 2006-02-15 09:45:25
530 Tartu 30 2006-02-15 09:45:25
531 Teboksary 80 2006-02-15 09:45:25
532 Tegal 45 2006-02-15 09:45:25
533 Tel Aviv-Jaffa 48 2006-02-15 09:45:25
534 Tete 63 2006-02-15 09:45:25
535 Tianjin 23 2006-02-15 09:45:25
536 Tiefa 23 2006-02-15 09:45:25
537 Tieli 23 2006-02-15 09:45:25
538 Tokat 97 2006-02-15 09:45:25
539 Tonghae 86 2006-02-15 09:45:25
540 Tongliao 23 2006-02-15 09:45:25
541 Torren 60 2006-02-15 09:45:25
542 Touliu 92 2006-02-15 09:45:25
543 Toulon 34 2006-02-15 09:45:25
544 Toulouse 34 2006-02-15 09:45:25
545 Trshavn 32 2006-02-15 09:45:25
546 Tsaotun 92 2006-02-15 09:45:25
547 Tsuyama 50 2006-02-15 09:45:25
548 Tuguegarao 75 2006-02-15 09:45:25
549 Tychy 76 2006-02-15 09:45:25
550 Udaipur 44 2006-02-15 09:45:25
551 Udine 49 2006-02-15 09:45:25
552 Ueda 50 2006-02-15 09:45:25
553 Uijongbu 86 2006-02-15 09:45:25
554 Uluberia 44 2006-02-15 09:45:25
555 Urawa 50 2006-02-15 09:45:25
556 Uruapan 60 2006-02-15 09:45:25
557 Usak 97 2006-02-15 09:45:25
558 Usolje-Sibirskoje 80 2006-02-15 09:45:25
559 Uttarpara-Kotrung 44 2006-02-15 09:45:25
560 Vaduz 55 2006-02-15 09:45:25
561 Valencia 104 2006-02-15 09:45:25
562 Valle de la Pascua 104 2006-02-15 09:45:25
563 Valle de Santiago 60 2006-02-15 09:45:25
564 Valparai 44 2006-02-15 09:45:25
565 Vancouver 20 2006-02-15 09:45:25
566 Varanasi (Benares) 44 2006-02-15 09:45:25
567 Vicente Lpez 6 2006-02-15 09:45:25
568 Vijayawada 44 2006-02-15 09:45:25
569 Vila Velha 15 2006-02-15 09:45:25
570 Vilnius 56 2006-02-15 09:45:25
571 Vinh 105 2006-02-15 09:45:25
572 Vitria de Santo Anto 15 2006-02-15 09:45:25
573 Warren 103 2006-02-15 09:45:25
574 Weifang 23 2006-02-15 09:45:25
575 Witten 38 2006-02-15 09:45:25
576 Woodridge 8 2006-02-15 09:45:25
577 Wroclaw 76 2006-02-15 09:45:25
578 Xiangfan 23 2006-02-15 09:45:25
579 Xiangtan 23 2006-02-15 09:45:25
580 Xintai 23 2006-02-15 09:45:25
581 Xinxiang 23 2006-02-15 09:45:25
582 Yamuna Nagar 44 2006-02-15 09:45:25
583 Yangor 65 2006-02-15 09:45:25
584 Yantai 23 2006-02-15 09:45:25
585 Yaound 19 2006-02-15 09:45:25
586 Yerevan 7 2006-02-15 09:45:25
587 Yinchuan 23 2006-02-15 09:45:25
588 Yingkou 23 2006-02-15 09:45:25
589 York 102 2006-02-15 09:45:25
590 Yuncheng 23 2006-02-15 09:45:25
591 Yuzhou 23 2006-02-15 09:45:25
592 Zalantun 23 2006-02-15 09:45:25
593 Zanzibar 93 2006-02-15 09:45:25
594 Zaoyang 23 2006-02-15 09:45:25
595 Zapopan 60 2006-02-15 09:45:25
596 Zaria 69 2006-02-15 09:45:25
597 Zeleznogorsk 80 2006-02-15 09:45:25
598 Zhezqazghan 51 2006-02-15 09:45:25
599 Zhoushan 23 2006-02-15 09:45:25
600 Ziguinchor 83 2006-02-15 09:45:25
\.
--
-- TOC entry 2981 (class 0 OID 18439)
-- Dependencies: 205
-- Data for Name: country; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY public.country (country_id, country, last_update) FROM stdin;
1 Afghanistan 2006-02-15 09:44:00
2 Algeria 2006-02-15 09:44:00
3 American Samoa 2006-02-15 09:44:00
4 Angola 2006-02-15 09:44:00
5 Anguilla 2006-02-15 09:44:00
6 Argentina 2006-02-15 09:44:00
7 Armenia 2006-02-15 09:44:00
8 Australia 2006-02-15 09:44:00
9 Austria 2006-02-15 09:44:00
10 Azerbaijan 2006-02-15 09:44:00
11 Bahrain 2006-02-15 09:44:00
12 Bangladesh 2006-02-15 09:44:00
13 Belarus 2006-02-15 09:44:00
14 Bolivia 2006-02-15 09:44:00
15 Brazil 2006-02-15 09:44:00
16 Brunei 2006-02-15 09:44:00
17 Bulgaria 2006-02-15 09:44:00
18 Cambodia 2006-02-15 09:44:00
19 Cameroon 2006-02-15 09:44:00
20 Canada 2006-02-15 09:44:00
21 Chad 2006-02-15 09:44:00
22 Chile 2006-02-15 09:44:00
23 China 2006-02-15 09:44:00
24 Colombia 2006-02-15 09:44:00
25 Congo, The Democratic Republic of the 2006-02-15 09:44:00
26 Czech Republic 2006-02-15 09:44:00
27 Dominican Republic 2006-02-15 09:44:00
28 Ecuador 2006-02-15 09:44:00
29 Egypt 2006-02-15 09:44:00
30 Estonia 2006-02-15 09:44:00
31 Ethiopia 2006-02-15 09:44:00
32 Faroe Islands 2006-02-15 09:44:00
33 Finland 2006-02-15 09:44:00
34 France 2006-02-15 09:44:00
35 French Guiana 2006-02-15 09:44:00
36 French Polynesia 2006-02-15 09:44:00
37 Gambia 2006-02-15 09:44:00
38 Germany 2006-02-15 09:44:00
39 Greece 2006-02-15 09:44:00
40 Greenland 2006-02-15 09:44:00
41 Holy See (Vatican City State) 2006-02-15 09:44:00
42 Hong Kong 2006-02-15 09:44:00
43 Hungary 2006-02-15 09:44:00
44 India 2006-02-15 09:44:00
45 Indonesia 2006-02-15 09:44:00
46 Iran 2006-02-15 09:44:00
47 Iraq 2006-02-15 09:44:00
48 Israel 2006-02-15 09:44:00
49 Italy 2006-02-15 09:44:00
50 Japan 2006-02-15 09:44:00
51 Kazakstan 2006-02-15 09:44:00
52 Kenya 2006-02-15 09:44:00
53 Kuwait 2006-02-15 09:44:00
54 Latvia 2006-02-15 09:44:00
55 Liechtenstein 2006-02-15 09:44:00
56 Lithuania 2006-02-15 09:44:00
57 Madagascar 2006-02-15 09:44:00
58 Malawi 2006-02-15 09:44:00
59 Malaysia 2006-02-15 09:44:00
60 Mexico 2006-02-15 09:44:00
61 Moldova 2006-02-15 09:44:00
62 Morocco 2006-02-15 09:44:00
63 Mozambique 2006-02-15 09:44:00
64 Myanmar 2006-02-15 09:44:00
65 Nauru 2006-02-15 09:44:00
66 Nepal 2006-02-15 09:44:00
67 Netherlands 2006-02-15 09:44:00
68 New Zealand 2006-02-15 09:44:00
69 Nigeria 2006-02-15 09:44:00
70 North Korea 2006-02-15 09:44:00
71 Oman 2006-02-15 09:44:00
72 Pakistan 2006-02-15 09:44:00
73 Paraguay 2006-02-15 09:44:00
74 Peru 2006-02-15 09:44:00
75 Philippines 2006-02-15 09:44:00
76 Poland 2006-02-15 09:44:00
77 Puerto Rico 2006-02-15 09:44:00
78 Romania 2006-02-15 09:44:00
79 Runion 2006-02-15 09:44:00
80 Russian Federation 2006-02-15 09:44:00
81 Saint Vincent and the Grenadines 2006-02-15 09:44:00
82 Saudi Arabia 2006-02-15 09:44:00
83 Senegal 2006-02-15 09:44:00
84 Slovakia 2006-02-15 09:44:00
85 South Africa 2006-02-15 09:44:00
86 South Korea 2006-02-15 09:44:00
87 Spain 2006-02-15 09:44:00
88 Sri Lanka 2006-02-15 09:44:00
89 Sudan 2006-02-15 09:44:00
90 Sweden 2006-02-15 09:44:00
91 Switzerland 2006-02-15 09:44:00
92 Taiwan 2006-02-15 09:44:00
93 Tanzania 2006-02-15 09:44:00
94 Thailand 2006-02-15 09:44:00
95 Tonga 2006-02-15 09:44:00
96 Tunisia 2006-02-15 09:44:00
97 Turkey 2006-02-15 09:44:00
98 Turkmenistan 2006-02-15 09:44:00
99 Tuvalu 2006-02-15 09:44:00
100 Ukraine 2006-02-15 09:44:00
101 United Arab Emirates 2006-02-15 09:44:00
102 United Kingdom 2006-02-15 09:44:00
103 United States 2006-02-15 09:44:00
104 Venezuela 2006-02-15 09:44:00
105 Vietnam 2006-02-15 09:44:00
106 Virgin Islands, U.S. 2006-02-15 09:44:00
107 Yemen 2006-02-15 09:44:00
108 Yugoslavia 2006-02-15 09:44:00
109 Zambia 2006-02-15 09:44:00
\.
--
-- TOC entry 2983 (class 0 OID 18446)
-- Dependencies: 207
-- Data for Name: customer; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY public.customer (customer_id, store_id, first_name, last_name, email, address_id, activebool, create_date, last_update, active) FROM stdin;
524 1 Jared Ely jared.ely@sakilacustomer.org 530 t 2006-02-14 2013-05-26 14:49:45.738 1
1 1 Mary Smith mary.smith@sakilacustomer.org 5 t 2006-02-14 2013-05-26 14:49:45.738 1
2 1 Patricia Johnson patricia.johnson@sakilacustomer.org 6 t 2006-02-14 2013-05-26 14:49:45.738 1
3 1 Linda Williams linda.williams@sakilacustomer.org 7 t 2006-02-14 2013-05-26 14:49:45.738 1
4 2 Barbara Jones barbara.jones@sakilacustomer.org 8 t 2006-02-14 2013-05-26 14:49:45.738 1
5 1 Elizabeth Brown elizabeth.brown@sakilacustomer.org 9 t 2006-02-14 2013-05-26 14:49:45.738 1
6 2 Jennifer Davis jennifer.davis@sakilacustomer.org 10 t 2006-02-14 2013-05-26 14:49:45.738 1
7 1 Maria Miller maria.miller@sakilacustomer.org 11 t 2006-02-14 2013-05-26 14:49:45.738 1
8 2 Susan Wilson susan.wilson@sakilacustomer.org 12 t 2006-02-14 2013-05-26 14:49:45.738 1
9 2 Margaret Moore margaret.moore@sakilacustomer.org 13 t 2006-02-14 2013-05-26 14:49:45.738 1
10 1 Dorothy Taylor dorothy.taylor@sakilacustomer.org 14 t 2006-02-14 2013-05-26 14:49:45.738 1
11 2 Lisa Anderson lisa.anderson@sakilacustomer.org 15 t 2006-02-14 2013-05-26 14:49:45.738 1
12 1 Nancy Thomas nancy.thomas@sakilacustomer.org 16 t 2006-02-14 2013-05-26 14:49:45.738 1
13 2 Karen Jackson karen.jackson@sakilacustomer.org 17 t 2006-02-14 2013-05-26 14:49:45.738 1
14 2 Betty White betty.white@sakilacustomer.org 18 t 2006-02-14 2013-05-26 14:49:45.738 1
15 1 Helen Harris helen.harris@sakilacustomer.org 19 t 2006-02-14 2013-05-26 14:49:45.738 1
16 2 Sandra Martin sandra.martin@sakilacustomer.org 20 t 2006-02-14 2013-05-26 14:49:45.738 0
17 1 Donna Thompson donna.thompson@sakilacustomer.org 21 t 2006-02-14 2013-05-26 14:49:45.738 1
18 2 Carol Garcia carol.garcia@sakilacustomer.org 22 t 2006-02-14 2013-05-26 14:49:45.738 1
19 1 Ruth Martinez ruth.martinez@sakilacustomer.org 23 t 2006-02-14 2013-05-26 14:49:45.738 1
20 2 Sharon Robinson sharon.robinson@sakilacustomer.org 24 t 2006-02-14 2013-05-26 14:49:45.738 1
21 1 Michelle Clark michelle.clark@sakilacustomer.org 25 t 2006-02-14 2013-05-26 14:49:45.738 1
22 1 Laura Rodriguez laura.rodriguez@sakilacustomer.org 26 t 2006-02-14 2013-05-26 14:49:45.738 1
23 2 Sarah Lewis sarah.lewis@sakilacustomer.org 27 t 2006-02-14 2013-05-26 14:49:45.738 1
24 2 Kimberly Lee kimberly.lee@sakilacustomer.org 28 t 2006-02-14 2013-05-26 14:49:45.738 1
25 1 Deborah Walker deborah.walker@sakilacustomer.org 29 t 2006-02-14 2013-05-26 14:49:45.738 1
26 2 Jessica Hall jessica.hall@sakilacustomer.org 30 t 2006-02-14 2013-05-26 14:49:45.738 1
27 2 Shirley Allen shirley.allen@sakilacustomer.org 31 t 2006-02-14 2013-05-26 14:49:45.738 1
28 1 Cynthia Young cynthia.young@sakilacustomer.org 32 t 2006-02-14 2013-05-26 14:49:45.738 1
29 2 Angela Hernandez angela.hernandez@sakilacustomer.org 33 t 2006-02-14 2013-05-26 14:49:45.738 1
30 1 Melissa King melissa.king@sakilacustomer.org 34 t 2006-02-14 2013-05-26 14:49:45.738 1
31 2 Brenda Wright brenda.wright@sakilacustomer.org 35 t 2006-02-14 2013-05-26 14:49:45.738 1
32 1 Amy Lopez amy.lopez@sakilacustomer.org 36 t 2006-02-14 2013-05-26 14:49:45.738 1
33 2 Anna Hill anna.hill@sakilacustomer.org 37 t 2006-02-14 2013-05-26 14:49:45.738 1
34 2 Rebecca Scott rebecca.scott@sakilacustomer.org 38 t 2006-02-14 2013-05-26 14:49:45.738 1
35 2 Virginia Green virginia.green@sakilacustomer.org 39 t 2006-02-14 2013-05-26 14:49:45.738 1
36 2 Kathleen Adams kathleen.adams@sakilacustomer.org 40 t 2006-02-14 2013-05-26 14:49:45.738 1
37 1 Pamela Baker pamela.baker@sakilacustomer.org 41 t 2006-02-14 2013-05-26 14:49:45.738 1
38 1 Martha Gonzalez martha.gonzalez@sakilacustomer.org 42 t 2006-02-14 2013-05-26 14:49:45.738 1
39 1 Debra Nelson debra.nelson@sakilacustomer.org 43 t 2006-02-14 2013-05-26 14:49:45.738 1
40 2 Amanda Carter amanda.carter@sakilacustomer.org 44 t 2006-02-14 2013-05-26 14:49:45.738 1
41 1 Stephanie Mitchell stephanie.mitchell@sakilacustomer.org 45 t 2006-02-14 2013-05-26 14:49:45.738 1
42 2 Carolyn Perez carolyn.perez@sakilacustomer.org 46 t 2006-02-14 2013-05-26 14:49:45.738 1
43 2 Christine Roberts christine.roberts@sakilacustomer.org 47 t 2006-02-14 2013-05-26 14:49:45.738 1
44 1 Marie Turner marie.turner@sakilacustomer.org 48 t 2006-02-14 2013-05-26 14:49:45.738 1
45 1 Janet Phillips janet.phillips@sakilacustomer.org 49 t 2006-02-14 2013-05-26 14:49:45.738 1
46 2 Catherine Campbell catherine.campbell@sakilacustomer.org 50 t 2006-02-14 2013-05-26 14:49:45.738 1
47 1 Frances Parker frances.parker@sakilacustomer.org 51 t 2006-02-14 2013-05-26 14:49:45.738 1
48 1 Ann Evans ann.evans@sakilacustomer.org 52 t 2006-02-14 2013-05-26 14:49:45.738 1
49 2 Joyce Edwards joyce.edwards@sakilacustomer.org 53 t 2006-02-14 2013-05-26 14:49:45.738 1
50 1 Diane Collins diane.collins@sakilacustomer.org 54 t 2006-02-14 2013-05-26 14:49:45.738 1
51 1 Alice Stewart alice.stewart@sakilacustomer.org 55 t 2006-02-14 2013-05-26 14:49:45.738 1
52 1 Julie Sanchez julie.sanchez@sakilacustomer.org 56 t 2006-02-14 2013-05-26 14:49:45.738 1
53 1 Heather Morris heather.morris@sakilacustomer.org 57 t 2006-02-14 2013-05-26 14:49:45.738 1
54 1 Teresa Rogers teresa.rogers@sakilacustomer.org 58 t 2006-02-14 2013-05-26 14:49:45.738 1
55 2 Doris Reed doris.reed@sakilacustomer.org 59 t 2006-02-14 2013-05-26 14:49:45.738 1
56 1 Gloria Cook gloria.cook@sakilacustomer.org 60 t 2006-02-14 2013-05-26 14:49:45.738 1
57 2 Evelyn Morgan evelyn.morgan@sakilacustomer.org 61 t 2006-02-14 2013-05-26 14:49:45.738 1
58 1 Jean Bell jean.bell@sakilacustomer.org 62 t 2006-02-14 2013-05-26 14:49:45.738 1
59 1 Cheryl Murphy cheryl.murphy@sakilacustomer.org 63 t 2006-02-14 2013-05-26 14:49:45.738 1
60 1 Mildred Bailey mildred.bailey@sakilacustomer.org 64 t 2006-02-14 2013-05-26 14:49:45.738 1
61 2 Katherine Rivera katherine.rivera@sakilacustomer.org 65 t 2006-02-14 2013-05-26 14:49:45.738 1
62 1 Joan Cooper joan.cooper@sakilacustomer.org 66 t 2006-02-14 2013-05-26 14:49:45.738 1
63 1 Ashley Richardson ashley.richardson@sakilacustomer.org 67 t 2006-02-14 2013-05-26 14:49:45.738 1
64 2 Judith Cox judith.cox@sakilacustomer.org 68 t 2006-02-14 2013-05-26 14:49:45.738 0
65 2 Rose Howard rose.howard@sakilacustomer.org 69 t 2006-02-14 2013-05-26 14:49:45.738 1
66 2 Janice Ward janice.ward@sakilacustomer.org 70 t 2006-02-14 2013-05-26 14:49:45.738 1
67 1 Kelly Torres kelly.torres@sakilacustomer.org 71 t 2006-02-14 2013-05-26 14:49:45.738 1
68 1 Nicole Peterson nicole.peterson@sakilacustomer.org 72 t 2006-02-14 2013-05-26 14:49:45.738 1
69 2 Judy Gray judy.gray@sakilacustomer.org 73 t 2006-02-14 2013-05-26 14:49:45.738 1
70 2 Christina Ramirez christina.ramirez@sakilacustomer.org 74 t 2006-02-14 2013-05-26 14:49:45.738 1
71 1 Kathy James kathy.james@sakilacustomer.org 75 t 2006-02-14 2013-05-26 14:49:45.738 1
72 2 Theresa Watson theresa.watson@sakilacustomer.org 76 t 2006-02-14 2013-05-26 14:49:45.738 1
73 2 Beverly Brooks beverly.brooks@sakilacustomer.org 77 t 2006-02-14 2013-05-26 14:49:45.738 1
74 1 Denise Kelly denise.kelly@sakilacustomer.org 78 t 2006-02-14 2013-05-26 14:49:45.738 1
75 2 Tammy Sanders tammy.sanders@sakilacustomer.org 79 t 2006-02-14 2013-05-26 14:49:45.738 1
76 2 Irene Price irene.price@sakilacustomer.org 80 t 2006-02-14 2013-05-26 14:49:45.738 1
77 2 Jane Bennett jane.bennett@sakilacustomer.org 81 t 2006-02-14 2013-05-26 14:49:45.738 1
78 1 Lori Wood lori.wood@sakilacustomer.org 82 t 2006-02-14 2013-05-26 14:49:45.738 1
79 1 Rachel Barnes rachel.barnes@sakilacustomer.org 83 t 2006-02-14 2013-05-26 14:49:45.738 1
80 1 Marilyn Ross marilyn.ross@sakilacustomer.org 84 t 2006-02-14 2013-05-26 14:49:45.738 1
81 1 Andrea Henderson andrea.henderson@sakilacustomer.org 85 t 2006-02-14 2013-05-26 14:49:45.738 1
82 1 Kathryn Coleman kathryn.coleman@sakilacustomer.org 86 t 2006-02-14 2013-05-26 14:49:45.738 1
83 1 Louise Jenkins louise.jenkins@sakilacustomer.org 87 t 2006-02-14 2013-05-26 14:49:45.738 1
84 2 Sara Perry sara.perry@sakilacustomer.org 88 t 2006-02-14 2013-05-26 14:49:45.738 1
85 2 Anne Powell anne.powell@sakilacustomer.org 89 t 2006-02-14 2013-05-26 14:49:45.738 1
86 2 Jacqueline Long jacqueline.long@sakilacustomer.org 90 t 2006-02-14 2013-05-26 14:49:45.738 1
87 1 Wanda Patterson wanda.patterson@sakilacustomer.org 91 t 2006-02-14 2013-05-26 14:49:45.738 1
88 2 Bonnie Hughes bonnie.hughes@sakilacustomer.org 92 t 2006-02-14 2013-05-26 14:49:45.738 1
89 1 Julia Flores julia.flores@sakilacustomer.org 93 t 2006-02-14 2013-05-26 14:49:45.738 1
90 2 Ruby Washington ruby.washington@sakilacustomer.org 94 t 2006-02-14 2013-05-26 14:49:45.738 1
91 2 Lois Butler lois.butler@sakilacustomer.org 95 t 2006-02-14 2013-05-26 14:49:45.738 1
92 2 Tina Simmons tina.simmons@sakilacustomer.org 96 t 2006-02-14 2013-05-26 14:49:45.738 1
93 1 Phyllis Foster phyllis.foster@sakilacustomer.org 97 t 2006-02-14 2013-05-26 14:49:45.738 1
94 1 Norma Gonzales norma.gonzales@sakilacustomer.org 98 t 2006-02-14 2013-05-26 14:49:45.738 1
95 2 Paula Bryant paula.bryant@sakilacustomer.org 99 t 2006-02-14 2013-05-26 14:49:45.738 1
96 1 Diana Alexander diana.alexander@sakilacustomer.org 100 t 2006-02-14 2013-05-26 14:49:45.738 1
97 2 Annie Russell annie.russell@sakilacustomer.org 101 t 2006-02-14 2013-05-26 14:49:45.738 1
98 1 Lillian Griffin lillian.griffin@sakilacustomer.org 102 t 2006-02-14 2013-05-26 14:49:45.738 1
99 2 Emily Diaz emily.diaz@sakilacustomer.org 103 t 2006-02-14 2013-05-26 14:49:45.738 1
100 1 Robin Hayes robin.hayes@sakilacustomer.org 104 t 2006-02-14 2013-05-26 14:49:45.738 1
101 1 Peggy Myers peggy.myers@sakilacustomer.org 105 t 2006-02-14 2013-05-26 14:49:45.738 1
102 1 Crystal Ford crystal.ford@sakilacustomer.org 106 t 2006-02-14 2013-05-26 14:49:45.738 1
103 1 Gladys Hamilton gladys.hamilton@sakilacustomer.org 107 t 2006-02-14 2013-05-26 14:49:45.738 1
104 1 Rita Graham rita.graham@sakilacustomer.org 108 t 2006-02-14 2013-05-26 14:49:45.738 1
105 1 Dawn Sullivan dawn.sullivan@sakilacustomer.org 109 t 2006-02-14 2013-05-26 14:49:45.738 1
106 1 Connie Wallace connie.wallace@sakilacustomer.org 110 t 2006-02-14 2013-05-26 14:49:45.738 1
107 1 Florence Woods florence.woods@sakilacustomer.org 111 t 2006-02-14 2013-05-26 14:49:45.738 1
108 1 Tracy Cole tracy.cole@sakilacustomer.org 112 t 2006-02-14 2013-05-26 14:49:45.738 1
109 2 Edna West edna.west@sakilacustomer.org 113 t 2006-02-14 2013-05-26 14:49:45.738 1
110 2 Tiffany Jordan tiffany.jordan@sakilacustomer.org 114 t 2006-02-14 2013-05-26 14:49:45.738 1
111 1 Carmen Owens carmen.owens@sakilacustomer.org 115 t 2006-02-14 2013-05-26 14:49:45.738 1
112 2 Rosa Reynolds rosa.reynolds@sakilacustomer.org 116 t 2006-02-14 2013-05-26 14:49:45.738 1
113 2 Cindy Fisher cindy.fisher@sakilacustomer.org 117 t 2006-02-14 2013-05-26 14:49:45.738 1
114 2 Grace Ellis grace.ellis@sakilacustomer.org 118 t 2006-02-14 2013-05-26 14:49:45.738 1
115 1 Wendy Harrison wendy.harrison@sakilacustomer.org 119 t 2006-02-14 2013-05-26 14:49:45.738 1
116 1 Victoria Gibson victoria.gibson@sakilacustomer.org 120 t 2006-02-14 2013-05-26 14:49:45.738 1
117 1 Edith Mcdonald edith.mcdonald@sakilacustomer.org 121 t 2006-02-14 2013-05-26 14:49:45.738 1
118 1 Kim Cruz kim.cruz@sakilacustomer.org 122 t 2006-02-14 2013-05-26 14:49:45.738 1
119 1 Sherry Marshall sherry.marshall@sakilacustomer.org 123 t 2006-02-14 2013-05-26 14:49:45.738 1
120 2 Sylvia Ortiz sylvia.ortiz@sakilacustomer.org 124 t 2006-02-14 2013-05-26 14:49:45.738 1
121 1 Josephine Gomez josephine.gomez@sakilacustomer.org 125 t 2006-02-14 2013-05-26 14:49:45.738 1
122 1 Thelma Murray thelma.murray@sakilacustomer.org 126 t 2006-02-14 2013-05-26 14:49:45.738 1
123 2 Shannon Freeman shannon.freeman@sakilacustomer.org 127 t 2006-02-14 2013-05-26 14:49:45.738 1
124 1 Sheila Wells sheila.wells@sakilacustomer.org 128 t 2006-02-14 2013-05-26 14:49:45.738 0
125 1 Ethel Webb ethel.webb@sakilacustomer.org 129 t 2006-02-14 2013-05-26 14:49:45.738 1
126 1 Ellen Simpson ellen.simpson@sakilacustomer.org 130 t 2006-02-14 2013-05-26 14:49:45.738 1
127 2 Elaine Stevens elaine.stevens@sakilacustomer.org 131 t 2006-02-14 2013-05-26 14:49:45.738 1
128 1 Marjorie Tucker marjorie.tucker@sakilacustomer.org 132 t 2006-02-14 2013-05-26 14:49:45.738 1
129 1 Carrie Porter carrie.porter@sakilacustomer.org 133 t 2006-02-14 2013-05-26 14:49:45.738 1
130 1 Charlotte Hunter charlotte.hunter@sakilacustomer.org 134 t 2006-02-14 2013-05-26 14:49:45.738 1
131 2 Monica Hicks monica.hicks@sakilacustomer.org 135 t 2006-02-14 2013-05-26 14:49:45.738 1
132 2 Esther Crawford esther.crawford@sakilacustomer.org 136 t 2006-02-14 2013-05-26 14:49:45.738 1
133 1 Pauline Henry pauline.henry@sakilacustomer.org 137 t 2006-02-14 2013-05-26 14:49:45.738 1
134 1 Emma Boyd emma.boyd@sakilacustomer.org 138 t 2006-02-14 2013-05-26 14:49:45.738 1
135 2 Juanita Mason juanita.mason@sakilacustomer.org 139 t 2006-02-14 2013-05-26 14:49:45.738 1
136 2 Anita Morales anita.morales@sakilacustomer.org 140 t 2006-02-14 2013-05-26 14:49:45.738 1
137 2 Rhonda Kennedy rhonda.kennedy@sakilacustomer.org 141 t 2006-02-14 2013-05-26 14:49:45.738 1
138 1 Hazel Warren hazel.warren@sakilacustomer.org 142 t 2006-02-14 2013-05-26 14:49:45.738 1
139 1 Amber Dixon amber.dixon@sakilacustomer.org 143 t 2006-02-14 2013-05-26 14:49:45.738 1
140 1 Eva Ramos eva.ramos@sakilacustomer.org 144 t 2006-02-14 2013-05-26 14:49:45.738 1
141 1 Debbie Reyes debbie.reyes@sakilacustomer.org 145 t 2006-02-14 2013-05-26 14:49:45.738 1
142 1 April Burns april.burns@sakilacustomer.org 146 t 2006-02-14 2013-05-26 14:49:45.738 1
143 1 Leslie Gordon leslie.gordon@sakilacustomer.org 147 t 2006-02-14 2013-05-26 14:49:45.738 1
144 1 Clara Shaw clara.shaw@sakilacustomer.org 148 t 2006-02-14 2013-05-26 14:49:45.738 1
145 1 Lucille Holmes lucille.holmes@sakilacustomer.org 149 t 2006-02-14 2013-05-26 14:49:45.738 1
146 1 Jamie Rice jamie.rice@sakilacustomer.org 150 t 2006-02-14 2013-05-26 14:49:45.738 1
147 2 Joanne Robertson joanne.robertson@sakilacustomer.org 151 t 2006-02-14 2013-05-26 14:49:45.738 1
148 1 Eleanor Hunt eleanor.hunt@sakilacustomer.org 152 t 2006-02-14 2013-05-26 14:49:45.738 1
149 1 Valerie Black valerie.black@sakilacustomer.org 153 t 2006-02-14 2013-05-26 14:49:45.738 1
150 2 Danielle Daniels danielle.daniels@sakilacustomer.org 154 t 2006-02-14 2013-05-26 14:49:45.738 1
151 2 Megan Palmer megan.palmer@sakilacustomer.org 155 t 2006-02-14 2013-05-26 14:49:45.738 1
152 1 Alicia Mills alicia.mills@sakilacustomer.org 156 t 2006-02-14 2013-05-26 14:49:45.738 1
153 2 Suzanne Nichols suzanne.nichols@sakilacustomer.org 157 t 2006-02-14 2013-05-26 14:49:45.738 1
154 2 Michele Grant michele.grant@sakilacustomer.org 158 t 2006-02-14 2013-05-26 14:49:45.738 1
155 1 Gail Knight gail.knight@sakilacustomer.org 159 t 2006-02-14 2013-05-26 14:49:45.738 1
156 1 Bertha Ferguson bertha.ferguson@sakilacustomer.org 160 t 2006-02-14 2013-05-26 14:49:45.738 1
157 2 Darlene Rose darlene.rose@sakilacustomer.org 161 t 2006-02-14 2013-05-26 14:49:45.738 1
158 1 Veronica Stone veronica.stone@sakilacustomer.org 162 t 2006-02-14 2013-05-26 14:49:45.738 1
159 1 Jill Hawkins jill.hawkins@sakilacustomer.org 163 t 2006-02-14 2013-05-26 14:49:45.738 1
160 2 Erin Dunn erin.dunn@sakilacustomer.org 164 t 2006-02-14 2013-05-26 14:49:45.738 1
161 1 Geraldine Perkins geraldine.perkins@sakilacustomer.org 165 t 2006-02-14 2013-05-26 14:49:45.738 1
162 2 Lauren Hudson lauren.hudson@sakilacustomer.org 166 t 2006-02-14 2013-05-26 14:49:45.738 1
163 1 Cathy Spencer cathy.spencer@sakilacustomer.org 167 t 2006-02-14 2013-05-26 14:49:45.738 1
164 2 Joann Gardner joann.gardner@sakilacustomer.org 168 t 2006-02-14 2013-05-26 14:49:45.738 1
165 2 Lorraine Stephens lorraine.stephens@sakilacustomer.org 169 t 2006-02-14 2013-05-26 14:49:45.738 1
166 1 Lynn Payne lynn.payne@sakilacustomer.org 170 t 2006-02-14 2013-05-26 14:49:45.738 1
167 2 Sally Pierce sally.pierce@sakilacustomer.org 171 t 2006-02-14 2013-05-26 14:49:45.738 1
168 1 Regina Berry regina.berry@sakilacustomer.org 172 t 2006-02-14 2013-05-26 14:49:45.738 1
169 2 Erica Matthews erica.matthews@sakilacustomer.org 173 t 2006-02-14 2013-05-26 14:49:45.738 0
170 1 Beatrice Arnold beatrice.arnold@sakilacustomer.org 174 t 2006-02-14 2013-05-26 14:49:45.738 1
171 2 Dolores Wagner dolores.wagner@sakilacustomer.org 175 t 2006-02-14 2013-05-26 14:49:45.738 1
172 1 Bernice Willis bernice.willis@sakilacustomer.org 176 t 2006-02-14 2013-05-26 14:49:45.738 1
173 1 Audrey Ray audrey.ray@sakilacustomer.org 177 t 2006-02-14 2013-05-26 14:49:45.738 1
174 2 Yvonne Watkins yvonne.watkins@sakilacustomer.org 178 t 2006-02-14 2013-05-26 14:49:45.738 1
175 1 Annette Olson annette.olson@sakilacustomer.org 179 t 2006-02-14 2013-05-26 14:49:45.738 1
176 1 June Carroll june.carroll@sakilacustomer.org 180 t 2006-02-14 2013-05-26 14:49:45.738 1
177 2 Samantha Duncan samantha.duncan@sakilacustomer.org 181 t 2006-02-14 2013-05-26 14:49:45.738 1
178 2 Marion Snyder marion.snyder@sakilacustomer.org 182 t 2006-02-14 2013-05-26 14:49:45.738 1
179 1 Dana Hart dana.hart@sakilacustomer.org 183 t 2006-02-14 2013-05-26 14:49:45.738 1
180 2 Stacy Cunningham stacy.cunningham@sakilacustomer.org 184 t 2006-02-14 2013-05-26 14:49:45.738 1
181 2 Ana Bradley ana.bradley@sakilacustomer.org 185 t 2006-02-14 2013-05-26 14:49:45.738 1
182 1 Renee Lane renee.lane@sakilacustomer.org 186 t 2006-02-14 2013-05-26 14:49:45.738 1
183 2 Ida Andrews ida.andrews@sakilacustomer.org 187 t 2006-02-14 2013-05-26 14:49:45.738 1
184 1 Vivian Ruiz vivian.ruiz@sakilacustomer.org 188 t 2006-02-14 2013-05-26 14:49:45.738 1
185 1 Roberta Harper roberta.harper@sakilacustomer.org 189 t 2006-02-14 2013-05-26 14:49:45.738 1
186 2 Holly Fox holly.fox@sakilacustomer.org 190 t 2006-02-14 2013-05-26 14:49:45.738 1
187 2 Brittany Riley brittany.riley@sakilacustomer.org 191 t 2006-02-14 2013-05-26 14:49:45.738 1
188 1 Melanie Armstrong melanie.armstrong@sakilacustomer.org 192 t 2006-02-14 2013-05-26 14:49:45.738 1
189 1 Loretta Carpenter loretta.carpenter@sakilacustomer.org 193 t 2006-02-14 2013-05-26 14:49:45.738 1
190 2 Yolanda Weaver yolanda.weaver@sakilacustomer.org 194 t 2006-02-14 2013-05-26 14:49:45.738 1
191 1 Jeanette Greene jeanette.greene@sakilacustomer.org 195 t 2006-02-14 2013-05-26 14:49:45.738 1
192 1 Laurie Lawrence laurie.lawrence@sakilacustomer.org 196 t 2006-02-14 2013-05-26 14:49:45.738 1
193 2 Katie Elliott katie.elliott@sakilacustomer.org 197 t 2006-02-14 2013-05-26 14:49:45.738 1
194 2 Kristen Chavez kristen.chavez@sakilacustomer.org 198 t 2006-02-14 2013-05-26 14:49:45.738 1
195 1 Vanessa Sims vanessa.sims@sakilacustomer.org 199 t 2006-02-14 2013-05-26 14:49:45.738 1
196 1 Alma Austin alma.austin@sakilacustomer.org 200 t 2006-02-14 2013-05-26 14:49:45.738 1
197 2 Sue Peters sue.peters@sakilacustomer.org 201 t 2006-02-14 2013-05-26 14:49:45.738 1
198 2 Elsie Kelley elsie.kelley@sakilacustomer.org 202 t 2006-02-14 2013-05-26 14:49:45.738 1
199 2 Beth Franklin beth.franklin@sakilacustomer.org 203 t 2006-02-14 2013-05-26 14:49:45.738 1
200 2 Jeanne Lawson jeanne.lawson@sakilacustomer.org 204 t 2006-02-14 2013-05-26 14:49:45.738 1
201 1 Vicki Fields vicki.fields@sakilacustomer.org 205 t 2006-02-14 2013-05-26 14:49:45.738 1
202 2 Carla Gutierrez carla.gutierrez@sakilacustomer.org 206 t 2006-02-14 2013-05-26 14:49:45.738 1
203 1 Tara Ryan tara.ryan@sakilacustomer.org 207 t 2006-02-14 2013-05-26 14:49:45.738 1
204 1 Rosemary Schmidt rosemary.schmidt@sakilacustomer.org 208 t 2006-02-14 2013-05-26 14:49:45.738 1
205 2 Eileen Carr eileen.carr@sakilacustomer.org 209 t 2006-02-14 2013-05-26 14:49:45.738 1
206 1 Terri Vasquez terri.vasquez@sakilacustomer.org 210 t 2006-02-14 2013-05-26 14:49:45.738 1
207 1 Gertrude Castillo gertrude.castillo@sakilacustomer.org 211 t 2006-02-14 2013-05-26 14:49:45.738 1
208 1 Lucy Wheeler lucy.wheeler@sakilacustomer.org 212 t 2006-02-14 2013-05-26 14:49:45.738 1
209 2 Tonya Chapman tonya.chapman@sakilacustomer.org 213 t 2006-02-14 2013-05-26 14:49:45.738 1
210 2 Ella Oliver ella.oliver@sakilacustomer.org 214 t 2006-02-14 2013-05-26 14:49:45.738 1
211 1 Stacey Montgomery stacey.montgomery@sakilacustomer.org 215 t 2006-02-14 2013-05-26 14:49:45.738 1
212 2 Wilma Richards wilma.richards@sakilacustomer.org 216 t 2006-02-14 2013-05-26 14:49:45.738 1
213 1 Gina Williamson gina.williamson@sakilacustomer.org 217 t 2006-02-14 2013-05-26 14:49:45.738 1
214 1 Kristin Johnston kristin.johnston@sakilacustomer.org 218 t 2006-02-14 2013-05-26 14:49:45.738 1
215 2 Jessie Banks jessie.banks@sakilacustomer.org 219 t 2006-02-14 2013-05-26 14:49:45.738 1
216 1 Natalie Meyer natalie.meyer@sakilacustomer.org 220 t 2006-02-14 2013-05-26 14:49:45.738 1
217 2 Agnes Bishop agnes.bishop@sakilacustomer.org 221 t 2006-02-14 2013-05-26 14:49:45.738 1
218 1 Vera Mccoy vera.mccoy@sakilacustomer.org 222 t 2006-02-14 2013-05-26 14:49:45.738 1
219 2 Willie Howell willie.howell@sakilacustomer.org 223 t 2006-02-14 2013-05-26 14:49:45.738 1
220 2 Charlene Alvarez charlene.alvarez@sakilacustomer.org 224 t 2006-02-14 2013-05-26 14:49:45.738 1
221 1 Bessie Morrison bessie.morrison@sakilacustomer.org 225 t 2006-02-14 2013-05-26 14:49:45.738 1
222 2 Delores Hansen delores.hansen@sakilacustomer.org 226 t 2006-02-14 2013-05-26 14:49:45.738 1
223 1 Melinda Fernandez melinda.fernandez@sakilacustomer.org 227 t 2006-02-14 2013-05-26 14:49:45.738 1
224 2 Pearl Garza pearl.garza@sakilacustomer.org 228 t 2006-02-14 2013-05-26 14:49:45.738 1
225 1 Arlene Harvey arlene.harvey@sakilacustomer.org 229 t 2006-02-14 2013-05-26 14:49:45.738 1
226 2 Maureen Little maureen.little@sakilacustomer.org 230 t 2006-02-14 2013-05-26 14:49:45.738 1
227 1 Colleen Burton colleen.burton@sakilacustomer.org 231 t 2006-02-14 2013-05-26 14:49:45.738 1
228 2 Allison Stanley allison.stanley@sakilacustomer.org 232 t 2006-02-14 2013-05-26 14:49:45.738 1
229 1 Tamara Nguyen tamara.nguyen@sakilacustomer.org 233 t 2006-02-14 2013-05-26 14:49:45.738 1
230 2 Joy George joy.george@sakilacustomer.org 234 t 2006-02-14 2013-05-26 14:49:45.738 1
231 1 Georgia Jacobs georgia.jacobs@sakilacustomer.org 235 t 2006-02-14 2013-05-26 14:49:45.738 1
232 2 Constance Reid constance.reid@sakilacustomer.org 236 t 2006-02-14 2013-05-26 14:49:45.738 1
233 2 Lillie Kim lillie.kim@sakilacustomer.org 237 t 2006-02-14 2013-05-26 14:49:45.738 1
234 1 Claudia Fuller claudia.fuller@sakilacustomer.org 238 t 2006-02-14 2013-05-26 14:49:45.738 1
235 1 Jackie Lynch jackie.lynch@sakilacustomer.org 239 t 2006-02-14 2013-05-26 14:49:45.738 1
236 1 Marcia Dean marcia.dean@sakilacustomer.org 240 t 2006-02-14 2013-05-26 14:49:45.738 1
237 1 Tanya Gilbert tanya.gilbert@sakilacustomer.org 241 t 2006-02-14 2013-05-26 14:49:45.738 1
238 1 Nellie Garrett nellie.garrett@sakilacustomer.org 242 t 2006-02-14 2013-05-26 14:49:45.738 1
239 2 Minnie Romero minnie.romero@sakilacustomer.org 243 t 2006-02-14 2013-05-26 14:49:45.738 1
240 1 Marlene Welch marlene.welch@sakilacustomer.org 244 t 2006-02-14 2013-05-26 14:49:45.738 1
241 2 Heidi Larson heidi.larson@sakilacustomer.org 245 t 2006-02-14 2013-05-26 14:49:45.738 0
242 1 Glenda Frazier glenda.frazier@sakilacustomer.org 246 t 2006-02-14 2013-05-26 14:49:45.738 1
243 1 Lydia Burke lydia.burke@sakilacustomer.org 247 t 2006-02-14 2013-05-26 14:49:45.738 1
244 2 Viola Hanson viola.hanson@sakilacustomer.org 248 t 2006-02-14 2013-05-26 14:49:45.738 1
245 1 Courtney Day courtney.day@sakilacustomer.org 249 t 2006-02-14 2013-05-26 14:49:45.738 1
246 1 Marian Mendoza marian.mendoza@sakilacustomer.org 250 t 2006-02-14 2013-05-26 14:49:45.738 1
247 1 Stella Moreno stella.moreno@sakilacustomer.org 251 t 2006-02-14 2013-05-26 14:49:45.738 1
248 1 Caroline Bowman caroline.bowman@sakilacustomer.org 252 t 2006-02-14 2013-05-26 14:49:45.738 1
249 2 Dora Medina dora.medina@sakilacustomer.org 253 t 2006-02-14 2013-05-26 14:49:45.738 1
250 2 Jo Fowler jo.fowler@sakilacustomer.org 254 t 2006-02-14 2013-05-26 14:49:45.738 1
251 2 Vickie Brewer vickie.brewer@sakilacustomer.org 255 t 2006-02-14 2013-05-26 14:49:45.738 1
252 2 Mattie Hoffman mattie.hoffman@sakilacustomer.org 256 t 2006-02-14 2013-05-26 14:49:45.738 1
253 1 Terry Carlson terry.carlson@sakilacustomer.org 258 t 2006-02-14 2013-05-26 14:49:45.738 1
254 2 Maxine Silva maxine.silva@sakilacustomer.org 259 t 2006-02-14 2013-05-26 14:49:45.738 1
255 2 Irma Pearson irma.pearson@sakilacustomer.org 260 t 2006-02-14 2013-05-26 14:49:45.738 1
256 2 Mabel Holland mabel.holland@sakilacustomer.org 261 t 2006-02-14 2013-05-26 14:49:45.738 1
257 2 Marsha Douglas marsha.douglas@sakilacustomer.org 262 t 2006-02-14 2013-05-26 14:49:45.738 1
258 1 Myrtle Fleming myrtle.fleming@sakilacustomer.org 263 t 2006-02-14 2013-05-26 14:49:45.738 1
259 2 Lena Jensen lena.jensen@sakilacustomer.org 264 t 2006-02-14 2013-05-26 14:49:45.738 1
260 1 Christy Vargas christy.vargas@sakilacustomer.org 265 t 2006-02-14 2013-05-26 14:49:45.738 1
261 1 Deanna Byrd deanna.byrd@sakilacustomer.org 266 t 2006-02-14 2013-05-26 14:49:45.738 1
262 2 Patsy Davidson patsy.davidson@sakilacustomer.org 267 t 2006-02-14 2013-05-26 14:49:45.738 1
263 1 Hilda Hopkins hilda.hopkins@sakilacustomer.org 268 t 2006-02-14 2013-05-26 14:49:45.738 1
264 1 Gwendolyn May gwendolyn.may@sakilacustomer.org 269 t 2006-02-14 2013-05-26 14:49:45.738 1
265 2 Jennie Terry jennie.terry@sakilacustomer.org 270 t 2006-02-14 2013-05-26 14:49:45.738 1
266 2 Nora Herrera nora.herrera@sakilacustomer.org 271 t 2006-02-14 2013-05-26 14:49:45.738 1
267 1 Margie Wade margie.wade@sakilacustomer.org 272 t 2006-02-14 2013-05-26 14:49:45.738 1
268 1 Nina Soto nina.soto@sakilacustomer.org 273 t 2006-02-14 2013-05-26 14:49:45.738 1
269 1 Cassandra Walters cassandra.walters@sakilacustomer.org 274 t 2006-02-14 2013-05-26 14:49:45.738 1
270 1 Leah Curtis leah.curtis@sakilacustomer.org 275 t 2006-02-14 2013-05-26 14:49:45.738 1
271 1 Penny Neal penny.neal@sakilacustomer.org 276 t 2006-02-14 2013-05-26 14:49:45.738 0
272 1 Kay Caldwell kay.caldwell@sakilacustomer.org 277 t 2006-02-14 2013-05-26 14:49:45.738 1
273 2 Priscilla Lowe priscilla.lowe@sakilacustomer.org 278 t 2006-02-14 2013-05-26 14:49:45.738 1
274 1 Naomi Jennings naomi.jennings@sakilacustomer.org 279 t 2006-02-14 2013-05-26 14:49:45.738 1
275 2 Carole Barnett carole.barnett@sakilacustomer.org 280 t 2006-02-14 2013-05-26 14:49:45.738 1
276 1 Brandy Graves brandy.graves@sakilacustomer.org 281 t 2006-02-14 2013-05-26 14:49:45.738 1
277 2 Olga Jimenez olga.jimenez@sakilacustomer.org 282 t 2006-02-14 2013-05-26 14:49:45.738 1
278 2 Billie Horton billie.horton@sakilacustomer.org 283 t 2006-02-14 2013-05-26 14:49:45.738 1
279 2 Dianne Shelton dianne.shelton@sakilacustomer.org 284 t 2006-02-14 2013-05-26 14:49:45.738 1
280 2 Tracey Barrett tracey.barrett@sakilacustomer.org 285 t 2006-02-14 2013-05-26 14:49:45.738 1
281 2 Leona Obrien leona.obrien@sakilacustomer.org 286 t 2006-02-14 2013-05-26 14:49:45.738 1
282 2 Jenny Castro jenny.castro@sakilacustomer.org 287 t 2006-02-14 2013-05-26 14:49:45.738 1
283 1 Felicia Sutton felicia.sutton@sakilacustomer.org 288 t 2006-02-14 2013-05-26 14:49:45.738 1
284 1 Sonia Gregory sonia.gregory@sakilacustomer.org 289 t 2006-02-14 2013-05-26 14:49:45.738 1
285 1 Miriam Mckinney miriam.mckinney@sakilacustomer.org 290 t 2006-02-14 2013-05-26 14:49:45.738 1
286 1 Velma Lucas velma.lucas@sakilacustomer.org 291 t 2006-02-14 2013-05-26 14:49:45.738 1
287 2 Becky Miles becky.miles@sakilacustomer.org 292 t 2006-02-14 2013-05-26 14:49:45.738 1
288 1 Bobbie Craig bobbie.craig@sakilacustomer.org 293 t 2006-02-14 2013-05-26 14:49:45.738 1
289 1 Violet Rodriquez violet.rodriquez@sakilacustomer.org 294 t 2006-02-14 2013-05-26 14:49:45.738 1
290 1 Kristina Chambers kristina.chambers@sakilacustomer.org 295 t 2006-02-14 2013-05-26 14:49:45.738 1
291 1 Toni Holt toni.holt@sakilacustomer.org 296 t 2006-02-14 2013-05-26 14:49:45.738 1
292 2 Misty Lambert misty.lambert@sakilacustomer.org 297 t 2006-02-14 2013-05-26 14:49:45.738 1
293 2 Mae Fletcher mae.fletcher@sakilacustomer.org 298 t 2006-02-14 2013-05-26 14:49:45.738 1
294 2 Shelly Watts shelly.watts@sakilacustomer.org 299 t 2006-02-14 2013-05-26 14:49:45.738 1
295 1 Daisy Bates daisy.bates@sakilacustomer.org 300 t 2006-02-14 2013-05-26 14:49:45.738 1
296 2 Ramona Hale ramona.hale@sakilacustomer.org 301 t 2006-02-14 2013-05-26 14:49:45.738 1
297 1 Sherri Rhodes sherri.rhodes@sakilacustomer.org 302 t 2006-02-14 2013-05-26 14:49:45.738 1
298 1 Erika Pena erika.pena@sakilacustomer.org 303 t 2006-02-14 2013-05-26 14:49:45.738 1
299 2 James Gannon james.gannon@sakilacustomer.org 304 t 2006-02-14 2013-05-26 14:49:45.738 1
300 1 John Farnsworth john.farnsworth@sakilacustomer.org 305 t 2006-02-14 2013-05-26 14:49:45.738 1
301 2 Robert Baughman robert.baughman@sakilacustomer.org 306 t 2006-02-14 2013-05-26 14:49:45.738 1
302 1 Michael Silverman michael.silverman@sakilacustomer.org 307 t 2006-02-14 2013-05-26 14:49:45.738 1
303 2 William Satterfield william.satterfield@sakilacustomer.org 308 t 2006-02-14 2013-05-26 14:49:45.738 1
304 2 David Royal david.royal@sakilacustomer.org 309 t 2006-02-14 2013-05-26 14:49:45.738 1
305 1 Richard Mccrary richard.mccrary@sakilacustomer.org 310 t 2006-02-14 2013-05-26 14:49:45.738 1
306 1 Charles Kowalski charles.kowalski@sakilacustomer.org 311 t 2006-02-14 2013-05-26 14:49:45.738 1
307 2 Joseph Joy joseph.joy@sakilacustomer.org 312 t 2006-02-14 2013-05-26 14:49:45.738 1
308 1 Thomas Grigsby thomas.grigsby@sakilacustomer.org 313 t 2006-02-14 2013-05-26 14:49:45.738 1
309 1 Christopher Greco christopher.greco@sakilacustomer.org 314 t 2006-02-14 2013-05-26 14:49:45.738 1
310 2 Daniel Cabral daniel.cabral@sakilacustomer.org 315 t 2006-02-14 2013-05-26 14:49:45.738 1
311 2 Paul Trout paul.trout@sakilacustomer.org 316 t 2006-02-14 2013-05-26 14:49:45.738 1
312 2 Mark Rinehart mark.rinehart@sakilacustomer.org 317 t 2006-02-14 2013-05-26 14:49:45.738 1
313 2 Donald Mahon donald.mahon@sakilacustomer.org 318 t 2006-02-14 2013-05-26 14:49:45.738 1
314 1 George Linton george.linton@sakilacustomer.org 319 t 2006-02-14 2013-05-26 14:49:45.738 1
315 2 Kenneth Gooden kenneth.gooden@sakilacustomer.org 320 t 2006-02-14 2013-05-26 14:49:45.738 0
316 1 Steven Curley steven.curley@sakilacustomer.org 321 t 2006-02-14 2013-05-26 14:49:45.738 1
317 2 Edward Baugh edward.baugh@sakilacustomer.org 322 t 2006-02-14 2013-05-26 14:49:45.738 1
318 1 Brian Wyman brian.wyman@sakilacustomer.org 323 t 2006-02-14 2013-05-26 14:49:45.738 1
319 2 Ronald Weiner ronald.weiner@sakilacustomer.org 324 t 2006-02-14 2013-05-26 14:49:45.738 1
320 2 Anthony Schwab anthony.schwab@sakilacustomer.org 325 t 2006-02-14 2013-05-26 14:49:45.738 1
321 1 Kevin Schuler kevin.schuler@sakilacustomer.org 326 t 2006-02-14 2013-05-26 14:49:45.738 1
322 1 Jason Morrissey jason.morrissey@sakilacustomer.org 327 t 2006-02-14 2013-05-26 14:49:45.738 1
323 2 Matthew Mahan matthew.mahan@sakilacustomer.org 328 t 2006-02-14 2013-05-26 14:49:45.738 1
324 2 Gary Coy gary.coy@sakilacustomer.org 329 t 2006-02-14 2013-05-26 14:49:45.738 1
325 1 Timothy Bunn timothy.bunn@sakilacustomer.org 330 t 2006-02-14 2013-05-26 14:49:45.738 1
326 1 Jose Andrew jose.andrew@sakilacustomer.org 331 t 2006-02-14 2013-05-26 14:49:45.738 1
327 2 Larry Thrasher larry.thrasher@sakilacustomer.org 332 t 2006-02-14 2013-05-26 14:49:45.738 1
328 2 Jeffrey Spear jeffrey.spear@sakilacustomer.org 333 t 2006-02-14 2013-05-26 14:49:45.738 1
329 2 Frank Waggoner frank.waggoner@sakilacustomer.org 334 t 2006-02-14 2013-05-26 14:49:45.738 1
330 1 Scott Shelley scott.shelley@sakilacustomer.org 335 t 2006-02-14 2013-05-26 14:49:45.738 1
331 1 Eric Robert eric.robert@sakilacustomer.org 336 t 2006-02-14 2013-05-26 14:49:45.738 1
332 1 Stephen Qualls stephen.qualls@sakilacustomer.org 337 t 2006-02-14 2013-05-26 14:49:45.738 1
333 2 Andrew Purdy andrew.purdy@sakilacustomer.org 338 t 2006-02-14 2013-05-26 14:49:45.738 1
334 2 Raymond Mcwhorter raymond.mcwhorter@sakilacustomer.org 339 t 2006-02-14 2013-05-26 14:49:45.738 1
335 1 Gregory Mauldin gregory.mauldin@sakilacustomer.org 340 t 2006-02-14 2013-05-26 14:49:45.738 1
336 1 Joshua Mark joshua.mark@sakilacustomer.org 341 t 2006-02-14 2013-05-26 14:49:45.738 1
337 1 Jerry Jordon jerry.jordon@sakilacustomer.org 342 t 2006-02-14 2013-05-26 14:49:45.738 1
338 1 Dennis Gilman dennis.gilman@sakilacustomer.org 343 t 2006-02-14 2013-05-26 14:49:45.738 1
339 2 Walter Perryman walter.perryman@sakilacustomer.org 344 t 2006-02-14 2013-05-26 14:49:45.738 1
340 1 Patrick Newsom patrick.newsom@sakilacustomer.org 345 t 2006-02-14 2013-05-26 14:49:45.738 1
341 1 Peter Menard peter.menard@sakilacustomer.org 346 t 2006-02-14 2013-05-26 14:49:45.738 1
342 1 Harold Martino harold.martino@sakilacustomer.org 347 t 2006-02-14 2013-05-26 14:49:45.738 1
343 1 Douglas Graf douglas.graf@sakilacustomer.org 348 t 2006-02-14 2013-05-26 14:49:45.738 1
344 1 Henry Billingsley henry.billingsley@sakilacustomer.org 349 t 2006-02-14 2013-05-26 14:49:45.738 1
345 1 Carl Artis carl.artis@sakilacustomer.org 350 t 2006-02-14 2013-05-26 14:49:45.738 1
346 1 Arthur Simpkins arthur.simpkins@sakilacustomer.org 351 t 2006-02-14 2013-05-26 14:49:45.738 1
347 2 Ryan Salisbury ryan.salisbury@sakilacustomer.org 352 t 2006-02-14 2013-05-26 14:49:45.738 1
348 2 Roger Quintanilla roger.quintanilla@sakilacustomer.org 353 t 2006-02-14 2013-05-26 14:49:45.738 1
349 2 Joe Gilliland joe.gilliland@sakilacustomer.org 354 t 2006-02-14 2013-05-26 14:49:45.738 1
350 1 Juan Fraley juan.fraley@sakilacustomer.org 355 t 2006-02-14 2013-05-26 14:49:45.738 1
351 1 Jack Foust jack.foust@sakilacustomer.org 356 t 2006-02-14 2013-05-26 14:49:45.738 1
352 1 Albert Crouse albert.crouse@sakilacustomer.org 357 t 2006-02-14 2013-05-26 14:49:45.738 1
353 1 Jonathan Scarborough jonathan.scarborough@sakilacustomer.org 358 t 2006-02-14 2013-05-26 14:49:45.738 1
354 2 Justin Ngo justin.ngo@sakilacustomer.org 359 t 2006-02-14 2013-05-26 14:49:45.738 1
355 2 Terry Grissom terry.grissom@sakilacustomer.org 360 t 2006-02-14 2013-05-26 14:49:45.738 1
356 2 Gerald Fultz gerald.fultz@sakilacustomer.org 361 t 2006-02-14 2013-05-26 14:49:45.738 1
357 1 Keith Rico keith.rico@sakilacustomer.org 362 t 2006-02-14 2013-05-26 14:49:45.738 1
358 2 Samuel Marlow samuel.marlow@sakilacustomer.org 363 t 2006-02-14 2013-05-26 14:49:45.738 1
359 2 Willie Markham willie.markham@sakilacustomer.org 364 t 2006-02-14 2013-05-26 14:49:45.738 1
360 2 Ralph Madrigal ralph.madrigal@sakilacustomer.org 365 t 2006-02-14 2013-05-26 14:49:45.738 1
361 2 Lawrence Lawton lawrence.lawton@sakilacustomer.org 366 t 2006-02-14 2013-05-26 14:49:45.738 1
362 1 Nicholas Barfield nicholas.barfield@sakilacustomer.org 367 t 2006-02-14 2013-05-26 14:49:45.738 1
363 2 Roy Whiting roy.whiting@sakilacustomer.org 368 t 2006-02-14 2013-05-26 14:49:45.738 1
364 1 Benjamin Varney benjamin.varney@sakilacustomer.org 369 t 2006-02-14 2013-05-26 14:49:45.738 1
365 2 Bruce Schwarz bruce.schwarz@sakilacustomer.org 370 t 2006-02-14 2013-05-26 14:49:45.738 1
366 1 Brandon Huey brandon.huey@sakilacustomer.org 371 t 2006-02-14 2013-05-26 14:49:45.738 1
367 1 Adam Gooch adam.gooch@sakilacustomer.org 372 t 2006-02-14 2013-05-26 14:49:45.738 1
368 1 Harry Arce harry.arce@sakilacustomer.org 373 t 2006-02-14 2013-05-26 14:49:45.738 0
369 2 Fred Wheat fred.wheat@sakilacustomer.org 374 t 2006-02-14 2013-05-26 14:49:45.738 1
370 2 Wayne Truong wayne.truong@sakilacustomer.org 375 t 2006-02-14 2013-05-26 14:49:45.738 1
371 1 Billy Poulin billy.poulin@sakilacustomer.org 376 t 2006-02-14 2013-05-26 14:49:45.738 1
372 2 Steve Mackenzie steve.mackenzie@sakilacustomer.org 377 t 2006-02-14 2013-05-26 14:49:45.738 1
373 1 Louis Leone louis.leone@sakilacustomer.org 378 t 2006-02-14 2013-05-26 14:49:45.738 1
374 2 Jeremy Hurtado jeremy.hurtado@sakilacustomer.org 379 t 2006-02-14 2013-05-26 14:49:45.738 1
375 2 Aaron Selby aaron.selby@sakilacustomer.org 380 t 2006-02-14 2013-05-26 14:49:45.738 1
376 1 Randy Gaither randy.gaither@sakilacustomer.org 381 t 2006-02-14 2013-05-26 14:49:45.738 1
377 1 Howard Fortner howard.fortner@sakilacustomer.org 382 t 2006-02-14 2013-05-26 14:49:45.738 1
378 1 Eugene Culpepper eugene.culpepper@sakilacustomer.org 383 t 2006-02-14 2013-05-26 14:49:45.738 1
379 1 Carlos Coughlin carlos.coughlin@sakilacustomer.org 384 t 2006-02-14 2013-05-26 14:49:45.738 1
380 1 Russell Brinson russell.brinson@sakilacustomer.org 385 t 2006-02-14 2013-05-26 14:49:45.738 1
381 2 Bobby Boudreau bobby.boudreau@sakilacustomer.org 386 t 2006-02-14 2013-05-26 14:49:45.738 1
382 2 Victor Barkley victor.barkley@sakilacustomer.org 387 t 2006-02-14 2013-05-26 14:49:45.738 1
383 1 Martin Bales martin.bales@sakilacustomer.org 388 t 2006-02-14 2013-05-26 14:49:45.738 1
384 2 Ernest Stepp ernest.stepp@sakilacustomer.org 389 t 2006-02-14 2013-05-26 14:49:45.738 1
385 1 Phillip Holm phillip.holm@sakilacustomer.org 390 t 2006-02-14 2013-05-26 14:49:45.738 1
386 1 Todd Tan todd.tan@sakilacustomer.org 391 t 2006-02-14 2013-05-26 14:49:45.738 1
387 2 Jesse Schilling jesse.schilling@sakilacustomer.org 392 t 2006-02-14 2013-05-26 14:49:45.738 1
388 2 Craig Morrell craig.morrell@sakilacustomer.org 393 t 2006-02-14 2013-05-26 14:49:45.738 1
389 1 Alan Kahn alan.kahn@sakilacustomer.org 394 t 2006-02-14 2013-05-26 14:49:45.738 1
390 1 Shawn Heaton shawn.heaton@sakilacustomer.org 395 t 2006-02-14 2013-05-26 14:49:45.738 1
391 1 Clarence Gamez clarence.gamez@sakilacustomer.org 396 t 2006-02-14 2013-05-26 14:49:45.738 1
392 2 Sean Douglass sean.douglass@sakilacustomer.org 397 t 2006-02-14 2013-05-26 14:49:45.738 1
393 1 Philip Causey philip.causey@sakilacustomer.org 398 t 2006-02-14 2013-05-26 14:49:45.738 1
394 2 Chris Brothers chris.brothers@sakilacustomer.org 399 t 2006-02-14 2013-05-26 14:49:45.738 1
395 2 Johnny Turpin johnny.turpin@sakilacustomer.org 400 t 2006-02-14 2013-05-26 14:49:45.738 1
396 1 Earl Shanks earl.shanks@sakilacustomer.org 401 t 2006-02-14 2013-05-26 14:49:45.738 1
397 1 Jimmy Schrader jimmy.schrader@sakilacustomer.org 402 t 2006-02-14 2013-05-26 14:49:45.738 1
398 1 Antonio Meek antonio.meek@sakilacustomer.org 403 t 2006-02-14 2013-05-26 14:49:45.738 1
399 1 Danny Isom danny.isom@sakilacustomer.org 404 t 2006-02-14 2013-05-26 14:49:45.738 1
400 2 Bryan Hardison bryan.hardison@sakilacustomer.org 405 t 2006-02-14 2013-05-26 14:49:45.738 1
401 2 Tony Carranza tony.carranza@sakilacustomer.org 406 t 2006-02-14 2013-05-26 14:49:45.738 1
402 1 Luis Yanez luis.yanez@sakilacustomer.org 407 t 2006-02-14 2013-05-26 14:49:45.738 1
403 1 Mike Way mike.way@sakilacustomer.org 408 t 2006-02-14 2013-05-26 14:49:45.738 1
404 2 Stanley Scroggins stanley.scroggins@sakilacustomer.org 409 t 2006-02-14 2013-05-26 14:49:45.738 1
405 1 Leonard Schofield leonard.schofield@sakilacustomer.org 410 t 2006-02-14 2013-05-26 14:49:45.738 1
406 1 Nathan Runyon nathan.runyon@sakilacustomer.org 411 t 2006-02-14 2013-05-26 14:49:45.738 0
407 1 Dale Ratcliff dale.ratcliff@sakilacustomer.org 412 t 2006-02-14 2013-05-26 14:49:45.738 1
408 1 Manuel Murrell manuel.murrell@sakilacustomer.org 413 t 2006-02-14 2013-05-26 14:49:45.738 1
409 2 Rodney Moeller rodney.moeller@sakilacustomer.org 414 t 2006-02-14 2013-05-26 14:49:45.738 1
410 2 Curtis Irby curtis.irby@sakilacustomer.org 415 t 2006-02-14 2013-05-26 14:49:45.738 1
411 1 Norman Currier norman.currier@sakilacustomer.org 416 t 2006-02-14 2013-05-26 14:49:45.738 1
412 2 Allen Butterfield allen.butterfield@sakilacustomer.org 417 t 2006-02-14 2013-05-26 14:49:45.738 1
413 2 Marvin Yee marvin.yee@sakilacustomer.org 418 t 2006-02-14 2013-05-26 14:49:45.738 1
414 1 Vincent Ralston vincent.ralston@sakilacustomer.org 419 t 2006-02-14 2013-05-26 14:49:45.738 1
415 1 Glenn Pullen glenn.pullen@sakilacustomer.org 420 t 2006-02-14 2013-05-26 14:49:45.738 1
416 2 Jeffery Pinson jeffery.pinson@sakilacustomer.org 421 t 2006-02-14 2013-05-26 14:49:45.738 1
417 1 Travis Estep travis.estep@sakilacustomer.org 422 t 2006-02-14 2013-05-26 14:49:45.738 1
418 2 Jeff East jeff.east@sakilacustomer.org 423 t 2006-02-14 2013-05-26 14:49:45.738 1
419 1 Chad Carbone chad.carbone@sakilacustomer.org 424 t 2006-02-14 2013-05-26 14:49:45.738 1
420 1 Jacob Lance jacob.lance@sakilacustomer.org 425 t 2006-02-14 2013-05-26 14:49:45.738 1
421 1 Lee Hawks lee.hawks@sakilacustomer.org 426 t 2006-02-14 2013-05-26 14:49:45.738 1
422 1 Melvin Ellington melvin.ellington@sakilacustomer.org 427 t 2006-02-14 2013-05-26 14:49:45.738 1
423 2 Alfred Casillas alfred.casillas@sakilacustomer.org 428 t 2006-02-14 2013-05-26 14:49:45.738 1
424 2 Kyle Spurlock kyle.spurlock@sakilacustomer.org 429 t 2006-02-14 2013-05-26 14:49:45.738 1
425 2 Francis Sikes francis.sikes@sakilacustomer.org 430 t 2006-02-14 2013-05-26 14:49:45.738 1
426 1 Bradley Motley bradley.motley@sakilacustomer.org 431 t 2006-02-14 2013-05-26 14:49:45.738 1
427 2 Jesus Mccartney jesus.mccartney@sakilacustomer.org 432 t 2006-02-14 2013-05-26 14:49:45.738 1
428 2 Herbert Kruger herbert.kruger@sakilacustomer.org 433 t 2006-02-14 2013-05-26 14:49:45.738 1
429 2 Frederick Isbell frederick.isbell@sakilacustomer.org 434 t 2006-02-14 2013-05-26 14:49:45.738 1
430 1 Ray Houle ray.houle@sakilacustomer.org 435 t 2006-02-14 2013-05-26 14:49:45.738 1
431 2 Joel Francisco joel.francisco@sakilacustomer.org 436 t 2006-02-14 2013-05-26 14:49:45.738 1
432 1 Edwin Burk edwin.burk@sakilacustomer.org 437 t 2006-02-14 2013-05-26 14:49:45.738 1
433 1 Don Bone don.bone@sakilacustomer.org 438 t 2006-02-14 2013-05-26 14:49:45.738 1
434 1 Eddie Tomlin eddie.tomlin@sakilacustomer.org 439 t 2006-02-14 2013-05-26 14:49:45.738 1
435 2 Ricky Shelby ricky.shelby@sakilacustomer.org 440 t 2006-02-14 2013-05-26 14:49:45.738 1
436 1 Troy Quigley troy.quigley@sakilacustomer.org 441 t 2006-02-14 2013-05-26 14:49:45.738 1
437 2 Randall Neumann randall.neumann@sakilacustomer.org 442 t 2006-02-14 2013-05-26 14:49:45.738 1
438 1 Barry Lovelace barry.lovelace@sakilacustomer.org 443 t 2006-02-14 2013-05-26 14:49:45.738 1
439 2 Alexander Fennell alexander.fennell@sakilacustomer.org 444 t 2006-02-14 2013-05-26 14:49:45.738 1
440 1 Bernard Colby bernard.colby@sakilacustomer.org 445 t 2006-02-14 2013-05-26 14:49:45.738 1
441 1 Mario Cheatham mario.cheatham@sakilacustomer.org 446 t 2006-02-14 2013-05-26 14:49:45.738 1
442 1 Leroy Bustamante leroy.bustamante@sakilacustomer.org 447 t 2006-02-14 2013-05-26 14:49:45.738 1
443 2 Francisco Skidmore francisco.skidmore@sakilacustomer.org 448 t 2006-02-14 2013-05-26 14:49:45.738 1
444 2 Marcus Hidalgo marcus.hidalgo@sakilacustomer.org 449 t 2006-02-14 2013-05-26 14:49:45.738 1
445 1 Micheal Forman micheal.forman@sakilacustomer.org 450 t 2006-02-14 2013-05-26 14:49:45.738 1
446 2 Theodore Culp theodore.culp@sakilacustomer.org 451 t 2006-02-14 2013-05-26 14:49:45.738 0
447 1 Clifford Bowens clifford.bowens@sakilacustomer.org 452 t 2006-02-14 2013-05-26 14:49:45.738 1
448 1 Miguel Betancourt miguel.betancourt@sakilacustomer.org 453 t 2006-02-14 2013-05-26 14:49:45.738 1
449 2 Oscar Aquino oscar.aquino@sakilacustomer.org 454 t 2006-02-14 2013-05-26 14:49:45.738 1
450 1 Jay Robb jay.robb@sakilacustomer.org 455 t 2006-02-14 2013-05-26 14:49:45.738 1
451 1 Jim Rea jim.rea@sakilacustomer.org 456 t 2006-02-14 2013-05-26 14:49:45.738 1
452 1 Tom Milner tom.milner@sakilacustomer.org 457 t 2006-02-14 2013-05-26 14:49:45.738 1
453 1 Calvin Martel calvin.martel@sakilacustomer.org 458 t 2006-02-14 2013-05-26 14:49:45.738 1
454 2 Alex Gresham alex.gresham@sakilacustomer.org 459 t 2006-02-14 2013-05-26 14:49:45.738 1
455 2 Jon Wiles jon.wiles@sakilacustomer.org 460 t 2006-02-14 2013-05-26 14:49:45.738 1
456 2 Ronnie Ricketts ronnie.ricketts@sakilacustomer.org 461 t 2006-02-14 2013-05-26 14:49:45.738 1
457 2 Bill Gavin bill.gavin@sakilacustomer.org 462 t 2006-02-14 2013-05-26 14:49:45.738 1
458 1 Lloyd Dowd lloyd.dowd@sakilacustomer.org 463 t 2006-02-14 2013-05-26 14:49:45.738 1
459 1 Tommy Collazo tommy.collazo@sakilacustomer.org 464 t 2006-02-14 2013-05-26 14:49:45.738 1
460 1 Leon Bostic leon.bostic@sakilacustomer.org 465 t 2006-02-14 2013-05-26 14:49:45.738 1
461 1 Derek Blakely derek.blakely@sakilacustomer.org 466 t 2006-02-14 2013-05-26 14:49:45.738 1
462 2 Warren Sherrod warren.sherrod@sakilacustomer.org 467 t 2006-02-14 2013-05-26 14:49:45.738 1
463 2 Darrell Power darrell.power@sakilacustomer.org 468 t 2006-02-14 2013-05-26 14:49:45.738 1
464 1 Jerome Kenyon jerome.kenyon@sakilacustomer.org 469 t 2006-02-14 2013-05-26 14:49:45.738 1
465 1 Floyd Gandy floyd.gandy@sakilacustomer.org 470 t 2006-02-14 2013-05-26 14:49:45.738 1
466 1 Leo Ebert leo.ebert@sakilacustomer.org 471 t 2006-02-14 2013-05-26 14:49:45.738 1
467 2 Alvin Deloach alvin.deloach@sakilacustomer.org 472 t 2006-02-14 2013-05-26 14:49:45.738 1
468 1 Tim Cary tim.cary@sakilacustomer.org 473 t 2006-02-14 2013-05-26 14:49:45.738 1
469 2 Wesley Bull wesley.bull@sakilacustomer.org 474 t 2006-02-14 2013-05-26 14:49:45.738 1
470 1 Gordon Allard gordon.allard@sakilacustomer.org 475 t 2006-02-14 2013-05-26 14:49:45.738 1
471 1 Dean Sauer dean.sauer@sakilacustomer.org 476 t 2006-02-14 2013-05-26 14:49:45.738 1
472 1 Greg Robins greg.robins@sakilacustomer.org 477 t 2006-02-14 2013-05-26 14:49:45.738 1
473 2 Jorge Olivares jorge.olivares@sakilacustomer.org 478 t 2006-02-14 2013-05-26 14:49:45.738 1
474 2 Dustin Gillette dustin.gillette@sakilacustomer.org 479 t 2006-02-14 2013-05-26 14:49:45.738 1
475 2 Pedro Chestnut pedro.chestnut@sakilacustomer.org 480 t 2006-02-14 2013-05-26 14:49:45.738 1
476 1 Derrick Bourque derrick.bourque@sakilacustomer.org 481 t 2006-02-14 2013-05-26 14:49:45.738 1
477 1 Dan Paine dan.paine@sakilacustomer.org 482 t 2006-02-14 2013-05-26 14:49:45.738 1
478 1 Lewis Lyman lewis.lyman@sakilacustomer.org 483 t 2006-02-14 2013-05-26 14:49:45.738 1
479 1 Zachary Hite zachary.hite@sakilacustomer.org 484 t 2006-02-14 2013-05-26 14:49:45.738 1
480 1 Corey Hauser corey.hauser@sakilacustomer.org 485 t 2006-02-14 2013-05-26 14:49:45.738 1
481 1 Herman Devore herman.devore@sakilacustomer.org 486 t 2006-02-14 2013-05-26 14:49:45.738 1
482 1 Maurice Crawley maurice.crawley@sakilacustomer.org 487 t 2006-02-14 2013-05-26 14:49:45.738 0
483 2 Vernon Chapa vernon.chapa@sakilacustomer.org 488 t 2006-02-14 2013-05-26 14:49:45.738 1
484 1 Roberto Vu roberto.vu@sakilacustomer.org 489 t 2006-02-14 2013-05-26 14:49:45.738 1
485 1 Clyde Tobias clyde.tobias@sakilacustomer.org 490 t 2006-02-14 2013-05-26 14:49:45.738 1
486 1 Glen Talbert glen.talbert@sakilacustomer.org 491 t 2006-02-14 2013-05-26 14:49:45.738 1
487 2 Hector Poindexter hector.poindexter@sakilacustomer.org 492 t 2006-02-14 2013-05-26 14:49:45.738 1
488 2 Shane Millard shane.millard@sakilacustomer.org 493 t 2006-02-14 2013-05-26 14:49:45.738 1
489 1 Ricardo Meador ricardo.meador@sakilacustomer.org 494 t 2006-02-14 2013-05-26 14:49:45.738 1
490 1 Sam Mcduffie sam.mcduffie@sakilacustomer.org 495 t 2006-02-14 2013-05-26 14:49:45.738 1
491 2 Rick Mattox rick.mattox@sakilacustomer.org 496 t 2006-02-14 2013-05-26 14:49:45.738 1
492 2 Lester Kraus lester.kraus@sakilacustomer.org 497 t 2006-02-14 2013-05-26 14:49:45.738 1
493 1 Brent Harkins brent.harkins@sakilacustomer.org 498 t 2006-02-14 2013-05-26 14:49:45.738 1
494 2 Ramon Choate ramon.choate@sakilacustomer.org 499 t 2006-02-14 2013-05-26 14:49:45.738 1
495 2 Charlie Bess charlie.bess@sakilacustomer.org 500 t 2006-02-14 2013-05-26 14:49:45.738 1
496 2 Tyler Wren tyler.wren@sakilacustomer.org 501 t 2006-02-14 2013-05-26 14:49:45.738 1
497 2 Gilbert Sledge gilbert.sledge@sakilacustomer.org 502 t 2006-02-14 2013-05-26 14:49:45.738 1
498 1 Gene Sanborn gene.sanborn@sakilacustomer.org 503 t 2006-02-14 2013-05-26 14:49:45.738 1
499 2 Marc Outlaw marc.outlaw@sakilacustomer.org 504 t 2006-02-14 2013-05-26 14:49:45.738 1
500 1 Reginald Kinder reginald.kinder@sakilacustomer.org 505 t 2006-02-14 2013-05-26 14:49:45.738 1
501 1 Ruben Geary ruben.geary@sakilacustomer.org 506 t 2006-02-14 2013-05-26 14:49:45.738 1
502 1 Brett Cornwell brett.cornwell@sakilacustomer.org 507 t 2006-02-14 2013-05-26 14:49:45.738 1
503 1 Angel Barclay angel.barclay@sakilacustomer.org 508 t 2006-02-14 2013-05-26 14:49:45.738 1
504 1 Nathaniel Adam nathaniel.adam@sakilacustomer.org 509 t 2006-02-14 2013-05-26 14:49:45.738 1
505 1 Rafael Abney rafael.abney@sakilacustomer.org 510 t 2006-02-14 2013-05-26 14:49:45.738 1
506 2 Leslie Seward leslie.seward@sakilacustomer.org 511 t 2006-02-14 2013-05-26 14:49:45.738 1
507 2 Edgar Rhoads edgar.rhoads@sakilacustomer.org 512 t 2006-02-14 2013-05-26 14:49:45.738 1
508 2 Milton Howland milton.howland@sakilacustomer.org 513 t 2006-02-14 2013-05-26 14:49:45.738 1
509 1 Raul Fortier raul.fortier@sakilacustomer.org 514 t 2006-02-14 2013-05-26 14:49:45.738 1
510 2 Ben Easter ben.easter@sakilacustomer.org 515 t 2006-02-14 2013-05-26 14:49:45.738 0
511 1 Chester Benner chester.benner@sakilacustomer.org 516 t 2006-02-14 2013-05-26 14:49:45.738 1
512 1 Cecil Vines cecil.vines@sakilacustomer.org 517 t 2006-02-14 2013-05-26 14:49:45.738 1
513 2 Duane Tubbs duane.tubbs@sakilacustomer.org 519 t 2006-02-14 2013-05-26 14:49:45.738 1
514 2 Franklin Troutman franklin.troutman@sakilacustomer.org 520 t 2006-02-14 2013-05-26 14:49:45.738 1
515 1 Andre Rapp andre.rapp@sakilacustomer.org 521 t 2006-02-14 2013-05-26 14:49:45.738 1
516 2 Elmer Noe elmer.noe@sakilacustomer.org 522 t 2006-02-14 2013-05-26 14:49:45.738 1
517 2 Brad Mccurdy brad.mccurdy@sakilacustomer.org 523 t 2006-02-14 2013-05-26 14:49:45.738 1
518 1 Gabriel Harder gabriel.harder@sakilacustomer.org 524 t 2006-02-14 2013-05-26 14:49:45.738 1
519 2 Ron Deluca ron.deluca@sakilacustomer.org 525 t 2006-02-14 2013-05-26 14:49:45.738 1
520 2 Mitchell Westmoreland mitchell.westmoreland@sakilacustomer.org 526 t 2006-02-14 2013-05-26 14:49:45.738 1
521 2 Roland South roland.south@sakilacustomer.org 527 t 2006-02-14 2013-05-26 14:49:45.738 1
522 2 Arnold Havens arnold.havens@sakilacustomer.org 528 t 2006-02-14 2013-05-26 14:49:45.738 1
523 1 Harvey Guajardo harvey.guajardo@sakilacustomer.org 529 t 2006-02-14 2013-05-26 14:49:45.738 1
525 2 Adrian Clary adrian.clary@sakilacustomer.org 531 t 2006-02-14 2013-05-26 14:49:45.738 1
526 2 Karl Seal karl.seal@sakilacustomer.org 532 t 2006-02-14 2013-05-26 14:49:45.738 1
527 1 Cory Meehan cory.meehan@sakilacustomer.org 533 t 2006-02-14 2013-05-26 14:49:45.738 1
528 1 Claude Herzog claude.herzog@sakilacustomer.org 534 t 2006-02-14 2013-05-26 14:49:45.738 1
529 2 Erik Guillen erik.guillen@sakilacustomer.org 535 t 2006-02-14 2013-05-26 14:49:45.738 1
530 2 Darryl Ashcraft darryl.ashcraft@sakilacustomer.org 536 t 2006-02-14 2013-05-26 14:49:45.738 1
531 2 Jamie Waugh jamie.waugh@sakilacustomer.org 537 t 2006-02-14 2013-05-26 14:49:45.738 1
532 2 Neil Renner neil.renner@sakilacustomer.org 538 t 2006-02-14 2013-05-26 14:49:45.738 1
533 1 Jessie Milam jessie.milam@sakilacustomer.org 539 t 2006-02-14 2013-05-26 14:49:45.738 1
534 1 Christian Jung christian.jung@sakilacustomer.org 540 t 2006-02-14 2013-05-26 14:49:45.738 0
535 1 Javier Elrod javier.elrod@sakilacustomer.org 541 t 2006-02-14 2013-05-26 14:49:45.738 1
536 2 Fernando Churchill fernando.churchill@sakilacustomer.org 542 t 2006-02-14 2013-05-26 14:49:45.738 1
537 2 Clinton Buford clinton.buford@sakilacustomer.org 543 t 2006-02-14 2013-05-26 14:49:45.738 1
538 2 Ted Breaux ted.breaux@sakilacustomer.org 544 t 2006-02-14 2013-05-26 14:49:45.738 1
539 1 Mathew Bolin mathew.bolin@sakilacustomer.org 545 t 2006-02-14 2013-05-26 14:49:45.738 1
540 1 Tyrone Asher tyrone.asher@sakilacustomer.org 546 t 2006-02-14 2013-05-26 14:49:45.738 1
541 2 Darren Windham darren.windham@sakilacustomer.org 547 t 2006-02-14 2013-05-26 14:49:45.738 1
542 2 Lonnie Tirado lonnie.tirado@sakilacustomer.org 548 t 2006-02-14 2013-05-26 14:49:45.738 1
543 1 Lance Pemberton lance.pemberton@sakilacustomer.org 549 t 2006-02-14 2013-05-26 14:49:45.738 1
544 2 Cody Nolen cody.nolen@sakilacustomer.org 550 t 2006-02-14 2013-05-26 14:49:45.738 1
545 2 Julio Noland julio.noland@sakilacustomer.org 551 t 2006-02-14 2013-05-26 14:49:45.738 1
546 1 Kelly Knott kelly.knott@sakilacustomer.org 552 t 2006-02-14 2013-05-26 14:49:45.738 1
547 1 Kurt Emmons kurt.emmons@sakilacustomer.org 553 t 2006-02-14 2013-05-26 14:49:45.738 1
548 1 Allan Cornish allan.cornish@sakilacustomer.org 554 t 2006-02-14 2013-05-26 14:49:45.738 1
549 1 Nelson Christenson nelson.christenson@sakilacustomer.org 555 t 2006-02-14 2013-05-26 14:49:45.738 1
550 2 Guy Brownlee guy.brownlee@sakilacustomer.org 556 t 2006-02-14 2013-05-26 14:49:45.738 1
551 2 Clayton Barbee clayton.barbee@sakilacustomer.org 557 t 2006-02-14 2013-05-26 14:49:45.738 1
552 2 Hugh Waldrop hugh.waldrop@sakilacustomer.org 558 t 2006-02-14 2013-05-26 14:49:45.738 1
553 1 Max Pitt max.pitt@sakilacustomer.org 559 t 2006-02-14 2013-05-26 14:49:45.738 1
554 1 Dwayne Olvera dwayne.olvera@sakilacustomer.org 560 t 2006-02-14 2013-05-26 14:49:45.738 1
555 1 Dwight Lombardi dwight.lombardi@sakilacustomer.org 561 t 2006-02-14 2013-05-26 14:49:45.738 1
556 2 Armando Gruber armando.gruber@sakilacustomer.org 562 t 2006-02-14 2013-05-26 14:49:45.738 1
557 1 Felix Gaffney felix.gaffney@sakilacustomer.org 563 t 2006-02-14 2013-05-26 14:49:45.738 1
558 1 Jimmie Eggleston jimmie.eggleston@sakilacustomer.org 564 t 2006-02-14 2013-05-26 14:49:45.738 0
559 2 Everett Banda everett.banda@sakilacustomer.org 565 t 2006-02-14 2013-05-26 14:49:45.738 1
560 1 Jordan Archuleta jordan.archuleta@sakilacustomer.org 566 t 2006-02-14 2013-05-26 14:49:45.738 1
561 2 Ian Still ian.still@sakilacustomer.org 567 t 2006-02-14 2013-05-26 14:49:45.738 1
562 1 Wallace Slone wallace.slone@sakilacustomer.org 568 t 2006-02-14 2013-05-26 14:49:45.738 1
563 2 Ken Prewitt ken.prewitt@sakilacustomer.org 569 t 2006-02-14 2013-05-26 14:49:45.738 1
564 2 Bob Pfeiffer bob.pfeiffer@sakilacustomer.org 570 t 2006-02-14 2013-05-26 14:49:45.738 1
565 2 Jaime Nettles jaime.nettles@sakilacustomer.org 571 t 2006-02-14 2013-05-26 14:49:45.738 1
566 1 Casey Mena casey.mena@sakilacustomer.org 572 t 2006-02-14 2013-05-26 14:49:45.738 1
567 2 Alfredo Mcadams alfredo.mcadams@sakilacustomer.org 573 t 2006-02-14 2013-05-26 14:49:45.738 1
568 2 Alberto Henning alberto.henning@sakilacustomer.org 574 t 2006-02-14 2013-05-26 14:49:45.738 1
569 2 Dave Gardiner dave.gardiner@sakilacustomer.org 575 t 2006-02-14 2013-05-26 14:49:45.738 1
570 2 Ivan Cromwell ivan.cromwell@sakilacustomer.org 576 t 2006-02-14 2013-05-26 14:49:45.738 1
571 2 Johnnie Chisholm johnnie.chisholm@sakilacustomer.org 577 t 2006-02-14 2013-05-26 14:49:45.738 1
572 1 Sidney Burleson sidney.burleson@sakilacustomer.org 578 t 2006-02-14 2013-05-26 14:49:45.738 1
573 1 Byron Box byron.box@sakilacustomer.org 579 t 2006-02-14 2013-05-26 14:49:45.738 1
574 2 Julian Vest julian.vest@sakilacustomer.org 580 t 2006-02-14 2013-05-26 14:49:45.738 1
575 2 Isaac Oglesby isaac.oglesby@sakilacustomer.org 581 t 2006-02-14 2013-05-26 14:49:45.738 1
576 2 Morris Mccarter morris.mccarter@sakilacustomer.org 582 t 2006-02-14 2013-05-26 14:49:45.738 1
577 2 Clifton Malcolm clifton.malcolm@sakilacustomer.org 583 t 2006-02-14 2013-05-26 14:49:45.738 1
578 2 Willard Lumpkin willard.lumpkin@sakilacustomer.org 584 t 2006-02-14 2013-05-26 14:49:45.738 1
579 2 Daryl Larue daryl.larue@sakilacustomer.org 585 t 2006-02-14 2013-05-26 14:49:45.738 1
580 1 Ross Grey ross.grey@sakilacustomer.org 586 t 2006-02-14 2013-05-26 14:49:45.738 1
581 1 Virgil Wofford virgil.wofford@sakilacustomer.org 587 t 2006-02-14 2013-05-26 14:49:45.738 1
582 2 Andy Vanhorn andy.vanhorn@sakilacustomer.org 588 t 2006-02-14 2013-05-26 14:49:45.738 1
583 1 Marshall Thorn marshall.thorn@sakilacustomer.org 589 t 2006-02-14 2013-05-26 14:49:45.738 1
584 2 Salvador Teel salvador.teel@sakilacustomer.org 590 t 2006-02-14 2013-05-26 14:49:45.738 1
585 1 Perry Swafford perry.swafford@sakilacustomer.org 591 t 2006-02-14 2013-05-26 14:49:45.738 1
586 1 Kirk Stclair kirk.stclair@sakilacustomer.org 592 t 2006-02-14 2013-05-26 14:49:45.738 1
587 1 Sergio Stanfield sergio.stanfield@sakilacustomer.org 593 t 2006-02-14 2013-05-26 14:49:45.738 1
588 1 Marion Ocampo marion.ocampo@sakilacustomer.org 594 t 2006-02-14 2013-05-26 14:49:45.738 1
589 1 Tracy Herrmann tracy.herrmann@sakilacustomer.org 595 t 2006-02-14 2013-05-26 14:49:45.738 1
590 2 Seth Hannon seth.hannon@sakilacustomer.org 596 t 2006-02-14 2013-05-26 14:49:45.738 1
591 1 Kent Arsenault kent.arsenault@sakilacustomer.org 597 t 2006-02-14 2013-05-26 14:49:45.738 1
592 1 Terrance Roush terrance.roush@sakilacustomer.org 598 t 2006-02-14 2013-05-26 14:49:45.738 0
593 2 Rene Mcalister rene.mcalister@sakilacustomer.org 599 t 2006-02-14 2013-05-26 14:49:45.738 1
594 1 Eduardo Hiatt eduardo.hiatt@sakilacustomer.org 600 t 2006-02-14 2013-05-26 14:49:45.738 1
595 1 Terrence Gunderson terrence.gunderson@sakilacustomer.org 601 t 2006-02-14 2013-05-26 14:49:45.738 1
596 1 Enrique Forsythe enrique.forsythe@sakilacustomer.org 602 t 2006-02-14 2013-05-26 14:49:45.738 1
597 1 Freddie Duggan freddie.duggan@sakilacustomer.org 603 t 2006-02-14 2013-05-26 14:49:45.738 1
598 1 Wade Delvalle wade.delvalle@sakilacustomer.org 604 t 2006-02-14 2013-05-26 14:49:45.738 1
599 2 Austin Cintron austin.cintron@sakilacustomer.org 605 t 2006-02-14 2013-05-26 14:49:45.738 1
\.
--
-- TOC entry 2985 (class 0 OID 18455)
-- Dependencies: 209
-- Data for Name: film; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY public.film (film_id, title, description, release_year, language_id, rental_duration, rental_rate, length, replacement_cost, rating, last_update) FROM stdin;
133 Chamber Italian A Fateful Reflection of a Moose And a Husband who must Overcome a Monkey in Nigeria 2006 1 7 4.99 117 14.99 NC-17 2013-05-26 14:50:58.951
384 Grosse Wonderful A Epic Drama of a Cat And a Explorer who must Redeem a Moose in Australia 2006 1 5 4.99 49 19.99 R 2013-05-26 14:50:58.951
8 Airport Pollock A Epic Tale of a Moose And a Girl who must Confront a Monkey in Ancient India 2006 1 6 4.99 54 15.99 R 2013-05-26 14:50:58.951
1 Academy Dinosaur A Epic Drama of a Feminist And a Mad Scientist who must Battle a Teacher in The Canadian Rockies 2006 1 6 0.99 86 20.99 PG 2013-05-26 14:50:58.951
2 Ace Goldfinger A Astounding Epistle of a Database Administrator And a Explorer who must Find a Car in Ancient China 2006 1 3 4.99 48 12.99 G 2013-05-26 14:50:58.951
3 Adaptation Holes A Astounding Reflection of a Lumberjack And a Car who must Sink a Lumberjack in A Baloon Factory 2006 1 7 2.99 50 18.99 NC-17 2013-05-26 14:50:58.951
4 Affair Prejudice A Fanciful Documentary of a Frisbee And a Lumberjack who must Chase a Monkey in A Shark Tank 2006 1 5 2.99 117 26.99 G 2013-05-26 14:50:58.951
5 African Egg A Fast-Paced Documentary of a Pastry Chef And a Dentist who must Pursue a Forensic Psychologist in The Gulf of Mexico 2006 1 6 2.99 130 22.99 G 2013-05-26 14:50:58.951
6 Agent Truman A Intrepid Panorama of a Robot And a Boy who must Escape a Sumo Wrestler in Ancient China 2006 1 3 2.99 169 17.99 PG 2013-05-26 14:50:58.951
7 Airplane Sierra A Touching Saga of a Hunter And a Butler who must Discover a Butler in A Jet Boat 2006 1 6 4.99 62 28.99 PG-13 2013-05-26 14:50:58.951
9 Alabama Devil A Thoughtful Panorama of a Database Administrator And a Mad Scientist who must Outgun a Mad Scientist in A Jet Boat 2006 1 3 2.99 114 21.99 PG-13 2013-05-26 14:50:58.951
10 Aladdin Calendar A Action-Packed Tale of a Man And a Lumberjack who must Reach a Feminist in Ancient China 2006 1 6 4.99 63 24.99 NC-17 2013-05-26 14:50:58.951
11 Alamo Videotape A Boring Epistle of a Butler And a Cat who must Fight a Pastry Chef in A MySQL Convention 2006 1 6 0.99 126 16.99 G 2013-05-26 14:50:58.951
12 Alaska Phantom A Fanciful Saga of a Hunter And a Pastry Chef who must Vanquish a Boy in Australia 2006 1 6 0.99 136 22.99 PG 2013-05-26 14:50:58.951
213 Date Speed A Touching Saga of a Composer And a Moose who must Discover a Dentist in A MySQL Convention 2006 1 4 0.99 104 19.99 R 2013-05-26 14:50:58.951
13 Ali Forever A Action-Packed Drama of a Dentist And a Crocodile who must Battle a Feminist in The Canadian Rockies 2006 1 4 4.99 150 21.99 PG 2013-05-26 14:50:58.951
14 Alice Fantasia A Emotional Drama of a A Shark And a Database Administrator who must Vanquish a Pioneer in Soviet Georgia 2006 1 6 0.99 94 23.99 NC-17 2013-05-26 14:50:58.951
15 Alien Center A Brilliant Drama of a Cat And a Mad Scientist who must Battle a Feminist in A MySQL Convention 2006 1 5 2.99 46 10.99 NC-17 2013-05-26 14:50:58.951
31 Apache Divine A Awe-Inspiring Reflection of a Pastry Chef And a Teacher who must Overcome a Sumo Wrestler in A U-Boat 2006 3 5 4.99 92 16.99 NC-17 2013-05-26 14:50:58.951
32 Apocalypse Flamingos A Astounding Story of a Dog And a Squirrel who must Defeat a Woman in An Abandoned Amusement Park 2006 3 6 4.99 119 11.99 R 2013-05-26 14:50:58.951
33 Apollo Teen A Action-Packed Reflection of a Crocodile And a Explorer who must Find a Sumo Wrestler in An Abandoned Mine Shaft 2006 3 5 2.99 153 15.99 PG-13 2013-05-26 14:50:58.951
265 Dying Maker A Intrepid Tale of a Boat And a Monkey who must Kill a Cat in California 2006 1 5 4.99 168 28.99 PG 2013-05-26 14:50:58.951
46 Autumn Crow A Beautiful Tale of a Dentist And a Mad Cow who must Battle a Moose in The Sahara Desert 2006 1 3 4.99 108 13.99 G 2013-05-26 14:50:58.951
47 Baby Hall A Boring Character Study of a A Shark And a Girl who must Outrace a Feminist in An Abandoned Mine Shaft 2006 4 5 4.99 153 23.99 NC-17 2013-05-26 14:50:58.951
48 Backlash Undefeated A Stunning Character Study of a Mad Scientist And a Mad Cow who must Kill a Car in A Monastery 2006 4 3 4.99 118 24.99 PG-13 2013-05-26 14:50:58.951
49 Badman Dawn A Emotional Panorama of a Pioneer And a Composer who must Escape a Mad Scientist in A Jet Boat 2006 4 6 2.99 162 22.99 R 2013-05-26 14:50:58.951
50 Baked Cleopatra A Stunning Drama of a Forensic Psychologist And a Husband who must Overcome a Waitress in A Monastery 2006 4 3 2.99 182 20.99 G 2013-05-26 14:50:58.951
126 Casualties Encino A Insightful Yarn of a A Shark And a Pastry Chef who must Face a Boy in A Monastery 2006 1 3 4.99 179 16.99 G 2013-05-26 14:50:58.951
61 Beauty Grease A Fast-Paced Display of a Composer And a Moose who must Sink a Robot in An Abandoned Mine Shaft 2006 5 5 4.99 175 28.99 G 2013-05-26 14:50:58.951
62 Bed Highball A Astounding Panorama of a Lumberjack And a Dog who must Redeem a Woman in An Abandoned Fun House 2006 5 5 2.99 106 23.99 NC-17 2013-05-26 14:50:58.951
63 Bedazzled Married A Astounding Character Study of a Madman And a Robot who must Meet a Mad Scientist in An Abandoned Fun House 2006 5 6 0.99 73 21.99 PG 2013-05-26 14:50:58.951
64 Beethoven Exorcist A Epic Display of a Pioneer And a Student who must Challenge a Butler in The Gulf of Mexico 2006 5 6 0.99 151 26.99 PG-13 2013-05-26 14:50:58.951
65 Behavior Runaway A Unbelieveable Drama of a Student And a Husband who must Outrace a Sumo Wrestler in Berlin 2006 5 3 4.99 100 20.99 PG 2013-05-26 14:50:58.951
66 Beneath Rush A Astounding Panorama of a Man And a Monkey who must Discover a Man in The First Manned Space Station 2006 5 6 0.99 53 27.99 NC-17 2013-05-26 14:50:58.951
67 Berets Agent A Taut Saga of a Crocodile And a Boy who must Overcome a Technical Writer in Ancient China 2006 5 5 2.99 77 24.99 PG-13 2013-05-26 14:50:58.951
76 Birdcage Casper A Fast-Paced Saga of a Frisbee And a Astronaut who must Overcome a Feminist in Ancient India 2006 6 4 0.99 103 23.99 NC-17 2013-05-26 14:50:58.951
77 Birds Perdition A Boring Story of a Womanizer And a Pioneer who must Face a Dog in California 2006 6 5 4.99 61 15.99 G 2013-05-26 14:50:58.951
78 Blackout Private A Intrepid Yarn of a Pastry Chef And a Mad Scientist who must Challenge a Secret Agent in Ancient Japan 2006 6 7 2.99 85 12.99 PG 2013-05-26 14:50:58.951
79 Blade Polish A Thoughtful Character Study of a Frisbee And a Pastry Chef who must Fight a Dentist in The First Manned Space Station 2006 6 5 0.99 114 10.99 PG-13 2013-05-26 14:50:58.951
80 Blanket Beverly A Emotional Documentary of a Student And a Girl who must Build a Boat in Nigeria 2006 6 7 2.99 148 21.99 G 2013-05-26 14:50:58.951
81 Blindness Gun A Touching Drama of a Robot And a Dentist who must Meet a Hunter in A Jet Boat 2006 6 6 4.99 103 29.99 PG-13 2013-05-26 14:50:58.951
82 Blood Argonauts A Boring Drama of a Explorer And a Man who must Kill a Lumberjack in A Manhattan Penthouse 2006 6 3 0.99 71 13.99 G 2013-05-26 14:50:58.951
83 Blues Instinct A Insightful Documentary of a Boat And a Composer who must Meet a Forensic Psychologist in An Abandoned Fun House 2006 6 5 2.99 50 18.99 G 2013-05-26 14:50:58.951
101 Brotherhood Blanket A Fateful Character Study of a Butler And a Technical Writer who must Sink a Astronaut in Ancient Japan 2006 1 3 0.99 73 26.99 R 2013-05-26 14:50:58.951
102 Bubble Grosse A Awe-Inspiring Panorama of a Crocodile And a Moose who must Confront a Girl in A Baloon 2006 1 4 4.99 60 20.99 R 2013-05-26 14:50:58.951
103 Bucket Brotherhood A Amazing Display of a Girl And a Womanizer who must Succumb a Lumberjack in A Baloon Factory 2006 1 7 4.99 133 27.99 PG 2013-05-26 14:50:58.951
104 Bugsy Song A Awe-Inspiring Character Study of a Secret Agent And a Boat who must Find a Squirrel in The First Manned Space Station 2006 1 4 2.99 119 17.99 G 2013-05-26 14:50:58.951
105 Bull Shawshank A Fanciful Drama of a Moose And a Squirrel who must Conquer a Pioneer in The Canadian Rockies 2006 1 6 0.99 125 21.99 NC-17 2013-05-26 14:50:58.951
91 Bound Cheaper A Thrilling Panorama of a Database Administrator And a Astronaut who must Challenge a Lumberjack in A Baloon 2006 6 5 0.99 98 17.99 PG 2013-05-26 14:50:58.951
92 Bowfinger Gables A Fast-Paced Yarn of a Waitress And a Composer who must Outgun a Dentist in California 2006 6 7 4.99 72 19.99 NC-17 2013-05-26 14:50:58.951
93 Brannigan Sunrise A Amazing Epistle of a Moose And a Crocodile who must Outrace a Dog in Berlin 2006 6 4 4.99 121 27.99 PG 2013-05-26 14:50:58.951
94 Braveheart Human A Insightful Story of a Dog And a Pastry Chef who must Battle a Girl in Berlin 2006 6 7 2.99 176 14.99 PG-13 2013-05-26 14:50:58.951
95 Breakfast Goldfinger A Beautiful Reflection of a Student And a Student who must Fight a Moose in Berlin 2006 6 5 4.99 123 18.99 G 2013-05-26 14:50:58.951
106 Bulworth Commandments A Amazing Display of a Mad Cow And a Pioneer who must Redeem a Sumo Wrestler in The Outback 2006 1 4 2.99 61 14.99 G 2013-05-26 14:50:58.951
107 Bunch Minds A Emotional Story of a Feminist And a Feminist who must Escape a Pastry Chef in A MySQL Convention 2006 1 4 2.99 63 13.99 G 2013-05-26 14:50:58.951
108 Butch Panther A Lacklusture Yarn of a Feminist And a Database Administrator who must Face a Hunter in New Orleans 2006 1 6 0.99 67 19.99 PG-13 2013-05-26 14:50:58.951
109 Butterfly Chocolat A Fateful Story of a Girl And a Composer who must Conquer a Husband in A Shark Tank 2006 1 3 0.99 89 17.99 G 2013-05-26 14:50:58.951
110 Cabin Flash A Stunning Epistle of a Boat And a Man who must Challenge a A Shark in A Baloon Factory 2006 1 4 0.99 53 25.99 NC-17 2013-05-26 14:50:58.951
111 Caddyshack Jedi A Awe-Inspiring Epistle of a Woman And a Madman who must Fight a Robot in Soviet Georgia 2006 1 3 0.99 52 17.99 NC-17 2013-05-26 14:50:58.951
112 Calendar Gunfight A Thrilling Drama of a Frisbee And a Lumberjack who must Sink a Man in Nigeria 2006 1 4 4.99 120 22.99 NC-17 2013-05-26 14:50:58.951
113 California Birds A Thrilling Yarn of a Database Administrator And a Robot who must Battle a Database Administrator in Ancient India 2006 1 4 4.99 75 19.99 NC-17 2013-05-26 14:50:58.951
114 Camelot Vacation A Touching Character Study of a Woman And a Waitress who must Battle a Pastry Chef in A MySQL Convention 2006 1 3 0.99 61 26.99 NC-17 2013-05-26 14:50:58.951
115 Campus Remember A Astounding Drama of a Crocodile And a Mad Cow who must Build a Robot in A Jet Boat 2006 1 5 2.99 167 27.99 R 2013-05-26 14:50:58.951
116 Candidate Perdition A Brilliant Epistle of a Composer And a Database Administrator who must Vanquish a Mad Scientist in The First Manned Space Station 2006 1 4 2.99 70 10.99 R 2013-05-26 14:50:58.951
117 Candles Grapes A Fanciful Character Study of a Monkey And a Explorer who must Build a Astronaut in An Abandoned Fun House 2006 1 6 4.99 135 15.99 NC-17 2013-05-26 14:50:58.951
118 Canyon Stock A Thoughtful Reflection of a Waitress And a Feminist who must Escape a Squirrel in A Manhattan Penthouse 2006 1 7 0.99 85 26.99 R 2013-05-26 14:50:58.951
119 Caper Motions A Fateful Saga of a Moose And a Car who must Pursue a Woman in A MySQL Convention 2006 1 6 0.99 176 22.99 G 2013-05-26 14:50:58.951
120 Caribbean Liberty A Fanciful Tale of a Pioneer And a Technical Writer who must Outgun a Pioneer in A Shark Tank 2006 1 3 4.99 92 16.99 NC-17 2013-05-26 14:50:58.951
121 Carol Texas A Astounding Character Study of a Composer And a Student who must Overcome a Composer in A Monastery 2006 1 4 2.99 151 15.99 PG 2013-05-26 14:50:58.951
122 Carrie Bunch A Amazing Epistle of a Student And a Astronaut who must Discover a Frisbee in The Canadian Rockies 2006 1 7 0.99 114 11.99 PG 2013-05-26 14:50:58.951
123 Casablanca Super A Amazing Panorama of a Crocodile And a Forensic Psychologist who must Pursue a Secret Agent in The First Manned Space Station 2006 1 6 4.99 85 22.99 G 2013-05-26 14:50:58.951
124 Casper Dragonfly A Intrepid Documentary of a Boat And a Crocodile who must Chase a Robot in The Sahara Desert 2006 1 3 4.99 163 16.99 PG-13 2013-05-26 14:50:58.951
125 Cassidy Wyoming A Intrepid Drama of a Frisbee And a Hunter who must Kill a Secret Agent in New Orleans 2006 1 5 2.99 61 19.99 NC-17 2013-05-26 14:50:58.951
127 Cat Coneheads A Fast-Paced Panorama of a Girl And a A Shark who must Confront a Boy in Ancient India 2006 1 5 4.99 112 14.99 G 2013-05-26 14:50:58.951
128 Catch Amistad A Boring Reflection of a Lumberjack And a Feminist who must Discover a Woman in Nigeria 2006 1 7 0.99 183 10.99 G 2013-05-26 14:50:58.951
567 Meet Chocolate A Boring Documentary of a Dentist And a Butler who must Confront a Monkey in A MySQL Convention 2006 1 3 2.99 80 26.99 G 2013-05-26 14:50:58.951
129 Cause Date A Taut Tale of a Explorer And a Pastry Chef who must Conquer a Hunter in A MySQL Convention 2006 1 3 2.99 179 16.99 R 2013-05-26 14:50:58.951
130 Celebrity Horn A Amazing Documentary of a Secret Agent And a Astronaut who must Vanquish a Hunter in A Shark Tank 2006 1 7 0.99 110 24.99 PG-13 2013-05-26 14:50:58.951
131 Center Dinosaur A Beautiful Character Study of a Sumo Wrestler And a Dentist who must Find a Dog in California 2006 1 5 4.99 152 12.99 PG 2013-05-26 14:50:58.951
132 Chainsaw Uptown A Beautiful Documentary of a Boy And a Robot who must Discover a Squirrel in Australia 2006 1 6 0.99 114 25.99 PG 2013-05-26 14:50:58.951
134 Champion Flatliners A Amazing Story of a Mad Cow And a Dog who must Kill a Husband in A Monastery 2006 1 4 4.99 51 21.99 PG 2013-05-26 14:50:58.951
135 Chance Resurrection A Astounding Story of a Forensic Psychologist And a Forensic Psychologist who must Overcome a Moose in Ancient China 2006 1 3 2.99 70 22.99 R 2013-05-26 14:50:58.951
154 Clash Freddy A Amazing Yarn of a Composer And a Squirrel who must Escape a Astronaut in Australia 2006 1 6 2.99 81 12.99 G 2013-05-26 14:50:58.951
136 Chaplin License A Boring Drama of a Dog And a Forensic Psychologist who must Outrace a Explorer in Ancient India 2006 1 7 2.99 146 26.99 NC-17 2013-05-26 14:50:58.951
137 Charade Duffel A Action-Packed Display of a Man And a Waitress who must Build a Dog in A MySQL Convention 2006 1 3 2.99 66 21.99 PG 2013-05-26 14:50:58.951
138 Chariots Conspiracy A Unbelieveable Epistle of a Robot And a Husband who must Chase a Robot in The First Manned Space Station 2006 1 5 2.99 71 29.99 R 2013-05-26 14:50:58.951
139 Chasing Fight A Astounding Saga of a Technical Writer And a Butler who must Battle a Butler in A Shark Tank 2006 1 7 4.99 114 21.99 PG 2013-05-26 14:50:58.951
140 Cheaper Clyde A Emotional Character Study of a Pioneer And a Girl who must Discover a Dog in Ancient Japan 2006 1 6 0.99 87 23.99 G 2013-05-26 14:50:58.951
141 Chicago North A Fateful Yarn of a Mad Cow And a Waitress who must Battle a Student in California 2006 1 6 4.99 185 11.99 PG-13 2013-05-26 14:50:58.951
142 Chicken Hellfighters A Emotional Drama of a Dog And a Explorer who must Outrace a Technical Writer in Australia 2006 1 3 0.99 122 24.99 PG 2013-05-26 14:50:58.951
143 Chill Luck A Lacklusture Epistle of a Boat And a Technical Writer who must Fight a A Shark in The Canadian Rockies 2006 1 6 0.99 142 17.99 PG 2013-05-26 14:50:58.951
144 Chinatown Gladiator A Brilliant Panorama of a Technical Writer And a Lumberjack who must Escape a Butler in Ancient India 2006 1 7 4.99 61 24.99 PG 2013-05-26 14:50:58.951
145 Chisum Behavior A Epic Documentary of a Sumo Wrestler And a Butler who must Kill a Car in Ancient India 2006 1 5 4.99 124 25.99 G 2013-05-26 14:50:58.951
146 Chitty Lock A Boring Epistle of a Boat And a Database Administrator who must Kill a Sumo Wrestler in The First Manned Space Station 2006 1 6 2.99 107 24.99 G 2013-05-26 14:50:58.951
166 Color Philadelphia A Thoughtful Panorama of a Car And a Crocodile who must Sink a Monkey in The Sahara Desert 2006 1 6 2.99 149 19.99 G 2013-05-26 14:50:58.951
147 Chocolat Harry A Action-Packed Epistle of a Dentist And a Moose who must Meet a Mad Cow in Ancient Japan 2006 1 5 0.99 101 16.99 NC-17 2013-05-26 14:50:58.951
148 Chocolate Duck A Unbelieveable Story of a Mad Scientist And a Technical Writer who must Discover a Composer in Ancient China 2006 1 3 2.99 132 13.99 R 2013-05-26 14:50:58.951
149 Christmas Moonshine A Action-Packed Epistle of a Feminist And a Astronaut who must Conquer a Boat in A Manhattan Penthouse 2006 1 7 0.99 150 21.99 NC-17 2013-05-26 14:50:58.951
150 Cider Desire A Stunning Character Study of a Composer And a Mad Cow who must Succumb a Cat in Soviet Georgia 2006 1 7 2.99 101 9.99 PG 2013-05-26 14:50:58.951
151 Cincinatti Whisperer A Brilliant Saga of a Pastry Chef And a Hunter who must Confront a Butler in Berlin 2006 1 5 4.99 143 26.99 NC-17 2013-05-26 14:50:58.951
152 Circus Youth A Thoughtful Drama of a Pastry Chef And a Dentist who must Pursue a Girl in A Baloon 2006 1 5 2.99 90 13.99 PG-13 2013-05-26 14:50:58.951
153 Citizen Shrek A Fanciful Character Study of a Technical Writer And a Husband who must Redeem a Robot in The Outback 2006 1 7 0.99 165 18.99 G 2013-05-26 14:50:58.951
155 Cleopatra Devil A Fanciful Documentary of a Crocodile And a Technical Writer who must Fight a A Shark in A Baloon 2006 1 6 0.99 150 26.99 PG-13 2013-05-26 14:50:58.951
156 Clerks Angels A Thrilling Display of a Sumo Wrestler And a Girl who must Confront a Man in A Baloon 2006 1 3 4.99 164 15.99 G 2013-05-26 14:50:58.951
157 Clockwork Paradise A Insightful Documentary of a Technical Writer And a Feminist who must Challenge a Cat in A Baloon 2006 1 7 0.99 143 29.99 PG-13 2013-05-26 14:50:58.951
158 Clones Pinocchio A Amazing Drama of a Car And a Robot who must Pursue a Dentist in New Orleans 2006 1 6 2.99 124 16.99 R 2013-05-26 14:50:58.951
159 Closer Bang A Unbelieveable Panorama of a Frisbee And a Hunter who must Vanquish a Monkey in Ancient India 2006 1 5 4.99 58 12.99 R 2013-05-26 14:50:58.951
160 Club Graffiti A Epic Tale of a Pioneer And a Hunter who must Escape a Girl in A U-Boat 2006 1 4 0.99 65 12.99 PG-13 2013-05-26 14:50:58.951
161 Clue Grail A Taut Tale of a Butler And a Mad Scientist who must Build a Crocodile in Ancient China 2006 1 6 4.99 70 27.99 NC-17 2013-05-26 14:50:58.951
162 Clueless Bucket A Taut Tale of a Car And a Pioneer who must Conquer a Sumo Wrestler in An Abandoned Fun House 2006 1 4 2.99 95 13.99 R 2013-05-26 14:50:58.951
163 Clyde Theory A Beautiful Yarn of a Astronaut And a Frisbee who must Overcome a Explorer in A Jet Boat 2006 1 4 0.99 139 29.99 PG-13 2013-05-26 14:50:58.951
164 Coast Rainbow A Astounding Documentary of a Mad Cow And a Pioneer who must Challenge a Butler in The Sahara Desert 2006 1 4 0.99 55 20.99 PG 2013-05-26 14:50:58.951
184 Core Suit A Unbelieveable Tale of a Car And a Explorer who must Confront a Boat in A Manhattan Penthouse 2006 1 3 2.99 92 24.99 PG-13 2013-05-26 14:50:58.951
165 Coldblooded Darling A Brilliant Panorama of a Dentist And a Moose who must Find a Student in The Gulf of Mexico 2006 1 7 4.99 70 27.99 G 2013-05-26 14:50:58.951
167 Coma Head A Awe-Inspiring Drama of a Boy And a Frisbee who must Escape a Pastry Chef in California 2006 1 6 4.99 109 10.99 NC-17 2013-05-26 14:50:58.951
168 Comancheros Enemy A Boring Saga of a Lumberjack And a Monkey who must Find a Monkey in The Gulf of Mexico 2006 1 5 0.99 67 23.99 R 2013-05-26 14:50:58.951
169 Comforts Rush A Unbelieveable Panorama of a Pioneer And a Husband who must Meet a Mad Cow in An Abandoned Mine Shaft 2006 1 3 2.99 76 19.99 NC-17 2013-05-26 14:50:58.951
170 Command Darling A Awe-Inspiring Tale of a Forensic Psychologist And a Woman who must Challenge a Database Administrator in Ancient Japan 2006 1 5 4.99 120 28.99 PG-13 2013-05-26 14:50:58.951
171 Commandments Express A Fanciful Saga of a Student And a Mad Scientist who must Battle a Hunter in An Abandoned Mine Shaft 2006 1 6 4.99 59 13.99 R 2013-05-26 14:50:58.951
172 Coneheads Smoochy A Touching Story of a Womanizer And a Composer who must Pursue a Husband in Nigeria 2006 1 7 4.99 112 12.99 NC-17 2013-05-26 14:50:58.951
173 Confessions Maguire A Insightful Story of a Car And a Boy who must Battle a Technical Writer in A Baloon 2006 1 7 4.99 65 25.99 PG-13 2013-05-26 14:50:58.951
174 Confidential Interview A Stunning Reflection of a Cat And a Woman who must Find a Astronaut in Ancient Japan 2006 1 6 4.99 180 13.99 NC-17 2013-05-26 14:50:58.951
175 Confused Candles A Stunning Epistle of a Cat And a Forensic Psychologist who must Confront a Pioneer in A Baloon 2006 1 3 2.99 122 27.99 PG-13 2013-05-26 14:50:58.951
176 Congeniality Quest A Touching Documentary of a Cat And a Pastry Chef who must Find a Lumberjack in A Baloon 2006 1 6 0.99 87 21.99 PG-13 2013-05-26 14:50:58.951
177 Connecticut Tramp A Unbelieveable Drama of a Crocodile And a Mad Cow who must Reach a Dentist in A Shark Tank 2006 1 4 4.99 172 20.99 R 2013-05-26 14:50:58.951
178 Connection Microcosmos A Fateful Documentary of a Crocodile And a Husband who must Face a Husband in The First Manned Space Station 2006 1 6 0.99 115 25.99 G 2013-05-26 14:50:58.951
179 Conquerer Nuts A Taut Drama of a Mad Scientist And a Man who must Escape a Pioneer in An Abandoned Mine Shaft 2006 1 4 4.99 173 14.99 G 2013-05-26 14:50:58.951
180 Conspiracy Spirit A Awe-Inspiring Story of a Student And a Frisbee who must Conquer a Crocodile in An Abandoned Mine Shaft 2006 1 4 2.99 184 27.99 PG-13 2013-05-26 14:50:58.951
181 Contact Anonymous A Insightful Display of a A Shark And a Monkey who must Face a Database Administrator in Ancient India 2006 1 7 2.99 166 10.99 PG-13 2013-05-26 14:50:58.951
182 Control Anthem A Fateful Documentary of a Robot And a Student who must Battle a Cat in A Monastery 2006 1 7 4.99 185 9.99 G 2013-05-26 14:50:58.951
183 Conversation Downhill A Taut Character Study of a Husband And a Waitress who must Sink a Squirrel in A MySQL Convention 2006 1 4 4.99 112 14.99 R 2013-05-26 14:50:58.951
185 Cowboy Doom A Astounding Drama of a Boy And a Lumberjack who must Fight a Butler in A Baloon 2006 1 3 2.99 146 10.99 PG 2013-05-26 14:50:58.951
186 Craft Outfield A Lacklusture Display of a Explorer And a Hunter who must Succumb a Database Administrator in A Baloon Factory 2006 1 6 0.99 64 17.99 NC-17 2013-05-26 14:50:58.951
187 Cranes Reservoir A Fanciful Documentary of a Teacher And a Dog who must Outgun a Forensic Psychologist in A Baloon Factory 2006 1 5 2.99 57 12.99 NC-17 2013-05-26 14:50:58.951
188 Crazy Home A Fanciful Panorama of a Boy And a Woman who must Vanquish a Database Administrator in The Outback 2006 1 7 2.99 136 24.99 PG 2013-05-26 14:50:58.951
189 Creatures Shakespeare A Emotional Drama of a Womanizer And a Squirrel who must Vanquish a Crocodile in Ancient India 2006 1 3 0.99 139 23.99 NC-17 2013-05-26 14:50:58.951
190 Creepers Kane A Awe-Inspiring Reflection of a Squirrel And a Boat who must Outrace a Car in A Jet Boat 2006 1 5 4.99 172 23.99 NC-17 2013-05-26 14:50:58.951
191 Crooked Frogmen A Unbelieveable Drama of a Hunter And a Database Administrator who must Battle a Crocodile in An Abandoned Amusement Park 2006 1 6 0.99 143 27.99 PG-13 2013-05-26 14:50:58.951
192 Crossing Divorce A Beautiful Documentary of a Dog And a Robot who must Redeem a Womanizer in Berlin 2006 1 4 4.99 50 19.99 R 2013-05-26 14:50:58.951
193 Crossroads Casualties A Intrepid Documentary of a Sumo Wrestler And a Astronaut who must Battle a Composer in The Outback 2006 1 5 2.99 153 20.99 G 2013-05-26 14:50:58.951
194 Crow Grease A Awe-Inspiring Documentary of a Woman And a Husband who must Sink a Database Administrator in The First Manned Space Station 2006 1 6 0.99 104 22.99 PG 2013-05-26 14:50:58.951
195 Crowds Telemark A Intrepid Documentary of a Astronaut And a Forensic Psychologist who must Find a Frisbee in An Abandoned Fun House 2006 1 3 4.99 112 16.99 R 2013-05-26 14:50:58.951
196 Cruelty Unforgiven A Brilliant Tale of a Car And a Moose who must Battle a Dentist in Nigeria 2006 1 7 0.99 69 29.99 G 2013-05-26 14:50:58.951
197 Crusade Honey A Fast-Paced Reflection of a Explorer And a Butler who must Battle a Madman in An Abandoned Amusement Park 2006 1 4 2.99 112 27.99 R 2013-05-26 14:50:58.951
198 Crystal Breaking A Fast-Paced Character Study of a Feminist And a Explorer who must Face a Pastry Chef in Ancient Japan 2006 1 6 2.99 184 22.99 NC-17 2013-05-26 14:50:58.951
199 Cupboard Sinners A Emotional Reflection of a Frisbee And a Boat who must Reach a Pastry Chef in An Abandoned Amusement Park 2006 1 4 2.99 56 29.99 R 2013-05-26 14:50:58.951
200 Curtain Videotape A Boring Reflection of a Dentist And a Mad Cow who must Chase a Secret Agent in A Shark Tank 2006 1 7 0.99 133 27.99 PG-13 2013-05-26 14:50:58.951
201 Cyclone Family A Lacklusture Drama of a Student And a Monkey who must Sink a Womanizer in A MySQL Convention 2006 1 7 2.99 176 18.99 PG 2013-05-26 14:50:58.951
202 Daddy Pittsburgh A Epic Story of a A Shark And a Student who must Confront a Explorer in The Gulf of Mexico 2006 1 5 4.99 161 26.99 G 2013-05-26 14:50:58.951
203 Daisy Menagerie A Fast-Paced Saga of a Pastry Chef And a Monkey who must Sink a Composer in Ancient India 2006 1 5 4.99 84 9.99 G 2013-05-26 14:50:58.951
204 Dalmations Sweden A Emotional Epistle of a Moose And a Hunter who must Overcome a Robot in A Manhattan Penthouse 2006 1 4 0.99 106 25.99 PG 2013-05-26 14:50:58.951
205 Dances None A Insightful Reflection of a A Shark And a Dog who must Kill a Butler in An Abandoned Amusement Park 2006 1 3 0.99 58 22.99 NC-17 2013-05-26 14:50:58.951
206 Dancing Fever A Stunning Story of a Explorer And a Forensic Psychologist who must Face a Crocodile in A Shark Tank 2006 1 6 0.99 144 25.99 G 2013-05-26 14:50:58.951
207 Dangerous Uptown A Unbelieveable Story of a Mad Scientist And a Woman who must Overcome a Dog in California 2006 1 7 4.99 121 26.99 PG 2013-05-26 14:50:58.951
208 Dares Pluto A Fateful Story of a Robot And a Dentist who must Defeat a Astronaut in New Orleans 2006 1 7 2.99 89 16.99 PG-13 2013-05-26 14:50:58.951
209 Darkness War A Touching Documentary of a Husband And a Hunter who must Escape a Boy in The Sahara Desert 2006 1 6 2.99 99 24.99 NC-17 2013-05-26 14:50:58.951
210 Darko Dorado A Stunning Reflection of a Frisbee And a Husband who must Redeem a Dog in New Orleans 2006 1 3 4.99 130 13.99 NC-17 2013-05-26 14:50:58.951
211 Darling Breaking A Brilliant Documentary of a Astronaut And a Squirrel who must Succumb a Student in The Gulf of Mexico 2006 1 7 4.99 165 20.99 PG-13 2013-05-26 14:50:58.951
212 Darn Forrester A Fateful Story of a A Shark And a Explorer who must Succumb a Technical Writer in A Jet Boat 2006 1 7 4.99 185 14.99 G 2013-05-26 14:50:58.951
214 Daughter Madigan A Beautiful Tale of a Hunter And a Mad Scientist who must Confront a Squirrel in The First Manned Space Station 2006 1 3 4.99 59 13.99 PG-13 2013-05-26 14:50:58.951
215 Dawn Pond A Thoughtful Documentary of a Dentist And a Forensic Psychologist who must Defeat a Waitress in Berlin 2006 1 4 4.99 57 27.99 PG 2013-05-26 14:50:58.951
216 Day Unfaithful A Stunning Documentary of a Composer And a Mad Scientist who must Find a Technical Writer in A U-Boat 2006 1 3 4.99 113 16.99 G 2013-05-26 14:50:58.951
217 Dazed Punk A Action-Packed Story of a Pioneer And a Technical Writer who must Discover a Forensic Psychologist in An Abandoned Amusement Park 2006 1 6 4.99 120 20.99 G 2013-05-26 14:50:58.951
218 Deceiver Betrayed A Taut Story of a Moose And a Squirrel who must Build a Husband in Ancient India 2006 1 7 0.99 122 22.99 NC-17 2013-05-26 14:50:58.951
219 Deep Crusade A Amazing Tale of a Crocodile And a Squirrel who must Discover a Composer in Australia 2006 1 6 4.99 51 20.99 PG-13 2013-05-26 14:50:58.951
220 Deer Virginian A Thoughtful Story of a Mad Cow And a Womanizer who must Overcome a Mad Scientist in Soviet Georgia 2006 1 7 2.99 106 13.99 NC-17 2013-05-26 14:50:58.951
221 Deliverance Mulholland A Astounding Saga of a Monkey And a Moose who must Conquer a Butler in A Shark Tank 2006 1 4 0.99 100 9.99 R 2013-05-26 14:50:58.951
240 Dolls Rage A Thrilling Display of a Pioneer And a Frisbee who must Escape a Teacher in The Outback 2006 1 7 2.99 120 10.99 PG-13 2013-05-26 14:50:58.951
222 Desert Poseidon A Brilliant Documentary of a Butler And a Frisbee who must Build a Astronaut in New Orleans 2006 1 4 4.99 64 27.99 R 2013-05-26 14:50:58.951
242 Doom Dancing A Astounding Panorama of a Car And a Mad Scientist who must Battle a Lumberjack in A MySQL Convention 2006 1 4 0.99 68 13.99 R 2013-05-26 14:50:58.951
223 Desire Alien A Fast-Paced Tale of a Dog And a Forensic Psychologist who must Meet a Astronaut in The First Manned Space Station 2006 1 7 2.99 76 24.99 NC-17 2013-05-26 14:50:58.951
224 Desperate Trainspotting A Epic Yarn of a Forensic Psychologist And a Teacher who must Face a Lumberjack in California 2006 1 7 4.99 81 29.99 G 2013-05-26 14:50:58.951
225 Destination Jerk A Beautiful Yarn of a Teacher And a Cat who must Build a Car in A U-Boat 2006 1 3 0.99 76 19.99 PG-13 2013-05-26 14:50:58.951
226 Destiny Saturday A Touching Drama of a Crocodile And a Crocodile who must Conquer a Explorer in Soviet Georgia 2006 1 4 4.99 56 20.99 G 2013-05-26 14:50:58.951
227 Details Packer A Epic Saga of a Waitress And a Composer who must Face a Boat in A U-Boat 2006 1 4 4.99 88 17.99 R 2013-05-26 14:50:58.951
228 Detective Vision A Fanciful Documentary of a Pioneer And a Woman who must Redeem a Hunter in Ancient Japan 2006 1 4 0.99 143 16.99 PG-13 2013-05-26 14:50:58.951
229 Devil Desire A Beautiful Reflection of a Monkey And a Dentist who must Face a Database Administrator in Ancient Japan 2006 1 6 4.99 87 12.99 R 2013-05-26 14:50:58.951
230 Diary Panic A Thoughtful Character Study of a Frisbee And a Mad Cow who must Outgun a Man in Ancient India 2006 1 7 2.99 107 20.99 G 2013-05-26 14:50:58.951
231 Dinosaur Secretary A Action-Packed Drama of a Feminist And a Girl who must Reach a Robot in The Canadian Rockies 2006 1 7 2.99 63 27.99 R 2013-05-26 14:50:58.951
232 Dirty Ace A Action-Packed Character Study of a Forensic Psychologist And a Girl who must Build a Dentist in The Outback 2006 1 7 2.99 147 29.99 NC-17 2013-05-26 14:50:58.951
233 Disciple Mother A Touching Reflection of a Mad Scientist And a Boat who must Face a Moose in A Shark Tank 2006 1 3 0.99 141 17.99 PG 2013-05-26 14:50:58.951
234 Disturbing Scarface A Lacklusture Display of a Crocodile And a Butler who must Overcome a Monkey in A U-Boat 2006 1 6 2.99 94 27.99 R 2013-05-26 14:50:58.951
235 Divide Monster A Intrepid Saga of a Man And a Forensic Psychologist who must Reach a Squirrel in A Monastery 2006 1 6 2.99 68 13.99 PG-13 2013-05-26 14:50:58.951
236 Divine Resurrection A Boring Character Study of a Man And a Womanizer who must Succumb a Teacher in An Abandoned Amusement Park 2006 1 4 2.99 100 19.99 R 2013-05-26 14:50:58.951
237 Divorce Shining A Unbelieveable Saga of a Crocodile And a Student who must Discover a Cat in Ancient India 2006 1 3 2.99 47 21.99 G 2013-05-26 14:50:58.951
238 Doctor Grail A Insightful Drama of a Womanizer And a Waitress who must Reach a Forensic Psychologist in The Outback 2006 1 4 2.99 57 29.99 G 2013-05-26 14:50:58.951
239 Dogma Family A Brilliant Character Study of a Database Administrator And a Monkey who must Succumb a Astronaut in New Orleans 2006 1 5 4.99 122 16.99 G 2013-05-26 14:50:58.951
241 Donnie Alley A Awe-Inspiring Tale of a Butler And a Frisbee who must Vanquish a Teacher in Ancient Japan 2006 1 4 0.99 125 20.99 NC-17 2013-05-26 14:50:58.951
243 Doors President A Awe-Inspiring Display of a Squirrel And a Woman who must Overcome a Boy in The Gulf of Mexico 2006 1 3 4.99 49 22.99 NC-17 2013-05-26 14:50:58.951
244 Dorado Notting A Action-Packed Tale of a Sumo Wrestler And a A Shark who must Meet a Frisbee in California 2006 1 5 4.99 139 26.99 NC-17 2013-05-26 14:50:58.951
245 Double Wrath A Thoughtful Yarn of a Womanizer And a Dog who must Challenge a Madman in The Gulf of Mexico 2006 1 4 0.99 177 28.99 R 2013-05-26 14:50:58.951
246 Doubtfire Labyrinth A Intrepid Panorama of a Butler And a Composer who must Meet a Mad Cow in The Sahara Desert 2006 1 5 4.99 154 16.99 R 2013-05-26 14:50:58.951
247 Downhill Enough A Emotional Tale of a Pastry Chef And a Forensic Psychologist who must Succumb a Monkey in The Sahara Desert 2006 1 3 0.99 47 19.99 G 2013-05-26 14:50:58.951
248 Dozen Lion A Taut Drama of a Cat And a Girl who must Defeat a Frisbee in The Canadian Rockies 2006 1 6 4.99 177 20.99 NC-17 2013-05-26 14:50:58.951
249 Dracula Crystal A Thrilling Reflection of a Feminist And a Cat who must Find a Frisbee in An Abandoned Fun House 2006 1 7 0.99 176 26.99 G 2013-05-26 14:50:58.951
250 Dragon Squad A Taut Reflection of a Boy And a Waitress who must Outgun a Teacher in Ancient China 2006 1 4 0.99 170 26.99 NC-17 2013-05-26 14:50:58.951
251 Dragonfly Strangers A Boring Documentary of a Pioneer And a Man who must Vanquish a Man in Nigeria 2006 1 6 4.99 133 19.99 NC-17 2013-05-26 14:50:58.951
252 Dream Pickup A Epic Display of a Car And a Composer who must Overcome a Forensic Psychologist in The Gulf of Mexico 2006 1 6 2.99 135 18.99 PG 2013-05-26 14:50:58.951
253 Drifter Commandments A Epic Reflection of a Womanizer And a Squirrel who must Discover a Husband in A Jet Boat 2006 1 5 4.99 61 18.99 PG-13 2013-05-26 14:50:58.951
254 Driver Annie A Lacklusture Character Study of a Butler And a Car who must Redeem a Boat in An Abandoned Fun House 2006 1 4 2.99 159 11.99 PG-13 2013-05-26 14:50:58.951
255 Driving Polish A Action-Packed Yarn of a Feminist And a Technical Writer who must Sink a Boat in An Abandoned Mine Shaft 2006 1 6 4.99 175 21.99 NC-17 2013-05-26 14:50:58.951
256 Drop Waterfront A Fanciful Documentary of a Husband And a Explorer who must Reach a Madman in Ancient China 2006 1 6 4.99 178 20.99 R 2013-05-26 14:50:58.951
257 Drumline Cyclone A Insightful Panorama of a Monkey And a Sumo Wrestler who must Outrace a Mad Scientist in The Canadian Rockies 2006 1 3 0.99 110 14.99 G 2013-05-26 14:50:58.951
258 Drums Dynamite A Epic Display of a Crocodile And a Crocodile who must Confront a Dog in An Abandoned Amusement Park 2006 1 6 0.99 96 11.99 PG 2013-05-26 14:50:58.951
259 Duck Racer A Lacklusture Yarn of a Teacher And a Squirrel who must Overcome a Dog in A Shark Tank 2006 1 4 2.99 116 15.99 NC-17 2013-05-26 14:50:58.951
260 Dude Blindness A Stunning Reflection of a Husband And a Lumberjack who must Face a Frisbee in An Abandoned Fun House 2006 1 3 4.99 132 9.99 G 2013-05-26 14:50:58.951
261 Duffel Apocalypse A Emotional Display of a Boat And a Explorer who must Challenge a Madman in A MySQL Convention 2006 1 5 0.99 171 13.99 G 2013-05-26 14:50:58.951
262 Dumbo Lust A Touching Display of a Feminist And a Dentist who must Conquer a Husband in The Gulf of Mexico 2006 1 5 0.99 119 17.99 NC-17 2013-05-26 14:50:58.951
263 Durham Panky A Brilliant Panorama of a Girl And a Boy who must Face a Mad Scientist in An Abandoned Mine Shaft 2006 1 6 4.99 154 14.99 R 2013-05-26 14:50:58.951
264 Dwarfs Alter A Emotional Yarn of a Girl And a Dog who must Challenge a Composer in Ancient Japan 2006 1 6 2.99 101 13.99 G 2013-05-26 14:50:58.951
266 Dynamite Tarzan A Intrepid Documentary of a Forensic Psychologist And a Mad Scientist who must Face a Explorer in A U-Boat 2006 1 4 0.99 141 27.99 PG-13 2013-05-26 14:50:58.951
267 Eagles Panky A Thoughtful Story of a Car And a Boy who must Find a A Shark in The Sahara Desert 2006 1 4 4.99 140 14.99 NC-17 2013-05-26 14:50:58.951
268 Early Home A Amazing Panorama of a Mad Scientist And a Husband who must Meet a Woman in The Outback 2006 1 6 4.99 96 27.99 NC-17 2013-05-26 14:50:58.951
269 Earring Instinct A Stunning Character Study of a Dentist And a Mad Cow who must Find a Teacher in Nigeria 2006 1 3 0.99 98 22.99 R 2013-05-26 14:50:58.951
270 Earth Vision A Stunning Drama of a Butler And a Madman who must Outrace a Womanizer in Ancient India 2006 1 7 0.99 85 29.99 NC-17 2013-05-26 14:50:58.951
271 Easy Gladiator A Fateful Story of a Monkey And a Girl who must Overcome a Pastry Chef in Ancient India 2006 1 5 4.99 148 12.99 G 2013-05-26 14:50:58.951
272 Edge Kissing A Beautiful Yarn of a Composer And a Mad Cow who must Redeem a Mad Scientist in A Jet Boat 2006 1 5 4.99 153 9.99 NC-17 2013-05-26 14:50:58.951
273 Effect Gladiator A Beautiful Display of a Pastry Chef And a Pastry Chef who must Outgun a Forensic Psychologist in A Manhattan Penthouse 2006 1 6 0.99 107 14.99 PG 2013-05-26 14:50:58.951
274 Egg Igby A Beautiful Documentary of a Boat And a Sumo Wrestler who must Succumb a Database Administrator in The First Manned Space Station 2006 1 4 2.99 67 20.99 PG 2013-05-26 14:50:58.951
275 Egypt Tenenbaums A Intrepid Story of a Madman And a Secret Agent who must Outrace a Astronaut in An Abandoned Amusement Park 2006 1 3 0.99 85 11.99 PG 2013-05-26 14:50:58.951
276 Element Freddy A Awe-Inspiring Reflection of a Waitress And a Squirrel who must Kill a Mad Cow in A Jet Boat 2006 1 6 4.99 115 28.99 NC-17 2013-05-26 14:50:58.951
277 Elephant Trojan A Beautiful Panorama of a Lumberjack And a Forensic Psychologist who must Overcome a Frisbee in A Baloon 2006 1 4 4.99 126 24.99 PG-13 2013-05-26 14:50:58.951
278 Elf Murder A Action-Packed Story of a Frisbee And a Woman who must Reach a Girl in An Abandoned Mine Shaft 2006 1 4 4.99 155 19.99 NC-17 2013-05-26 14:50:58.951
279 Elizabeth Shane A Lacklusture Display of a Womanizer And a Dog who must Face a Sumo Wrestler in Ancient Japan 2006 1 7 4.99 152 11.99 NC-17 2013-05-26 14:50:58.951
280 Empire Malkovich A Amazing Story of a Feminist And a Cat who must Face a Car in An Abandoned Fun House 2006 1 7 0.99 177 26.99 G 2013-05-26 14:50:58.951
281 Encino Elf A Astounding Drama of a Feminist And a Teacher who must Confront a Husband in A Baloon 2006 1 6 0.99 143 9.99 G 2013-05-26 14:50:58.951
282 Encounters Curtain A Insightful Epistle of a Pastry Chef And a Womanizer who must Build a Boat in New Orleans 2006 1 5 0.99 92 20.99 NC-17 2013-05-26 14:50:58.951
283 Ending Crowds A Unbelieveable Display of a Dentist And a Madman who must Vanquish a Squirrel in Berlin 2006 1 6 0.99 85 10.99 NC-17 2013-05-26 14:50:58.951
284 Enemy Odds A Fanciful Panorama of a Mad Scientist And a Woman who must Pursue a Astronaut in Ancient India 2006 1 5 4.99 77 23.99 NC-17 2013-05-26 14:50:58.951
285 English Bulworth A Intrepid Epistle of a Pastry Chef And a Pastry Chef who must Pursue a Crocodile in Ancient China 2006 1 3 0.99 51 18.99 PG-13 2013-05-26 14:50:58.951
286 Enough Raging A Astounding Character Study of a Boat And a Secret Agent who must Find a Mad Cow in The Sahara Desert 2006 1 7 2.99 158 16.99 NC-17 2013-05-26 14:50:58.951
287 Entrapment Satisfaction A Thoughtful Panorama of a Hunter And a Teacher who must Reach a Mad Cow in A U-Boat 2006 1 5 0.99 176 19.99 R 2013-05-26 14:50:58.951
288 Escape Metropolis A Taut Yarn of a Astronaut And a Technical Writer who must Outgun a Boat in New Orleans 2006 1 7 2.99 167 20.99 R 2013-05-26 14:50:58.951
289 Eve Resurrection A Awe-Inspiring Yarn of a Pastry Chef And a Database Administrator who must Challenge a Teacher in A Baloon 2006 1 5 4.99 66 25.99 G 2013-05-26 14:50:58.951
290 Everyone Craft A Fateful Display of a Waitress And a Dentist who must Reach a Butler in Nigeria 2006 1 4 0.99 163 29.99 PG 2013-05-26 14:50:58.951
291 Evolution Alter A Fanciful Character Study of a Feminist And a Madman who must Find a Explorer in A Baloon Factory 2006 1 5 0.99 174 10.99 PG-13 2013-05-26 14:50:58.951
292 Excitement Eve A Brilliant Documentary of a Monkey And a Car who must Conquer a Crocodile in A Shark Tank 2006 1 3 0.99 51 20.99 G 2013-05-26 14:50:58.951
293 Exorcist Sting A Touching Drama of a Dog And a Sumo Wrestler who must Conquer a Mad Scientist in Berlin 2006 1 6 2.99 167 17.99 G 2013-05-26 14:50:58.951
294 Expecations Natural A Amazing Drama of a Butler And a Husband who must Reach a A Shark in A U-Boat 2006 1 5 4.99 138 26.99 PG-13 2013-05-26 14:50:58.951
295 Expendable Stallion A Amazing Character Study of a Mad Cow And a Squirrel who must Discover a Hunter in A U-Boat 2006 1 3 0.99 97 14.99 PG 2013-05-26 14:50:58.951
296 Express Lonely A Boring Drama of a Astronaut And a Boat who must Face a Boat in California 2006 1 5 2.99 178 23.99 R 2013-05-26 14:50:58.951
297 Extraordinary Conquerer A Stunning Story of a Dog And a Feminist who must Face a Forensic Psychologist in Berlin 2006 1 6 2.99 122 29.99 G 2013-05-26 14:50:58.951
298 Eyes Driving A Thrilling Story of a Cat And a Waitress who must Fight a Explorer in The Outback 2006 1 4 2.99 172 13.99 PG-13 2013-05-26 14:50:58.951
356 Giant Troopers A Fateful Display of a Feminist And a Monkey who must Vanquish a Monkey in The Canadian Rockies 2006 1 5 2.99 102 10.99 R 2013-05-26 14:50:58.951
299 Factory Dragon A Action-Packed Saga of a Teacher And a Frisbee who must Escape a Lumberjack in The Sahara Desert 2006 1 4 0.99 144 9.99 PG-13 2013-05-26 14:50:58.951
300 Falcon Volume A Fateful Saga of a Sumo Wrestler And a Hunter who must Redeem a A Shark in New Orleans 2006 1 5 4.99 102 21.99 PG-13 2013-05-26 14:50:58.951
301 Family Sweet A Epic Documentary of a Teacher And a Boy who must Escape a Woman in Berlin 2006 1 4 0.99 155 24.99 R 2013-05-26 14:50:58.951
302 Fantasia Park A Thoughtful Documentary of a Mad Scientist And a A Shark who must Outrace a Feminist in Australia 2006 1 5 2.99 131 29.99 G 2013-05-26 14:50:58.951
303 Fantasy Troopers A Touching Saga of a Teacher And a Monkey who must Overcome a Secret Agent in A MySQL Convention 2006 1 6 0.99 58 27.99 PG-13 2013-05-26 14:50:58.951
304 Fargo Gandhi A Thrilling Reflection of a Pastry Chef And a Crocodile who must Reach a Teacher in The Outback 2006 1 3 2.99 130 28.99 G 2013-05-26 14:50:58.951
305 Fatal Haunted A Beautiful Drama of a Student And a Secret Agent who must Confront a Dentist in Ancient Japan 2006 1 6 2.99 91 24.99 PG 2013-05-26 14:50:58.951
306 Feathers Metal A Thoughtful Yarn of a Monkey And a Teacher who must Find a Dog in Australia 2006 1 3 0.99 104 12.99 PG-13 2013-05-26 14:50:58.951
307 Fellowship Autumn A Lacklusture Reflection of a Dentist And a Hunter who must Meet a Teacher in A Baloon 2006 1 6 4.99 77 9.99 NC-17 2013-05-26 14:50:58.951
308 Ferris Mother A Touching Display of a Frisbee And a Frisbee who must Kill a Girl in The Gulf of Mexico 2006 1 3 2.99 142 13.99 PG 2013-05-26 14:50:58.951
309 Feud Frogmen A Brilliant Reflection of a Database Administrator And a Mad Cow who must Chase a Woman in The Canadian Rockies 2006 1 6 0.99 98 29.99 R 2013-05-26 14:50:58.951
310 Fever Empire A Insightful Panorama of a Cat And a Boat who must Defeat a Boat in The Gulf of Mexico 2006 1 5 4.99 158 20.99 R 2013-05-26 14:50:58.951
311 Fiction Christmas A Emotional Yarn of a A Shark And a Student who must Battle a Robot in An Abandoned Mine Shaft 2006 1 4 0.99 72 14.99 PG 2013-05-26 14:50:58.951
312 Fiddler Lost A Boring Tale of a Squirrel And a Dog who must Challenge a Madman in The Gulf of Mexico 2006 1 4 4.99 75 20.99 R 2013-05-26 14:50:58.951
313 Fidelity Devil A Awe-Inspiring Drama of a Technical Writer And a Composer who must Reach a Pastry Chef in A U-Boat 2006 1 5 4.99 118 11.99 G 2013-05-26 14:50:58.951
314 Fight Jawbreaker A Intrepid Panorama of a Womanizer And a Girl who must Escape a Girl in A Manhattan Penthouse 2006 1 3 0.99 91 13.99 R 2013-05-26 14:50:58.951
315 Finding Anaconda A Fateful Tale of a Database Administrator And a Girl who must Battle a Squirrel in New Orleans 2006 1 4 0.99 156 10.99 R 2013-05-26 14:50:58.951
316 Fire Wolves A Intrepid Documentary of a Frisbee And a Dog who must Outrace a Lumberjack in Nigeria 2006 1 5 4.99 173 18.99 R 2013-05-26 14:50:58.951
317 Fireball Philadelphia A Amazing Yarn of a Dentist And a A Shark who must Vanquish a Madman in An Abandoned Mine Shaft 2006 1 4 0.99 148 25.99 PG 2013-05-26 14:50:58.951
318 Firehouse Vietnam A Awe-Inspiring Character Study of a Boat And a Boy who must Kill a Pastry Chef in The Sahara Desert 2006 1 7 0.99 103 14.99 G 2013-05-26 14:50:58.951
319 Fish Opus A Touching Display of a Feminist And a Girl who must Confront a Astronaut in Australia 2006 1 4 2.99 125 22.99 R 2013-05-26 14:50:58.951
320 Flamingos Connecticut A Fast-Paced Reflection of a Composer And a Composer who must Meet a Cat in The Sahara Desert 2006 1 4 4.99 80 28.99 PG-13 2013-05-26 14:50:58.951
321 Flash Wars A Astounding Saga of a Moose And a Pastry Chef who must Chase a Student in The Gulf of Mexico 2006 1 3 4.99 123 21.99 NC-17 2013-05-26 14:50:58.951
322 Flatliners Killer A Taut Display of a Secret Agent And a Waitress who must Sink a Robot in An Abandoned Mine Shaft 2006 1 5 2.99 100 29.99 G 2013-05-26 14:50:58.951
323 Flight Lies A Stunning Character Study of a Crocodile And a Pioneer who must Pursue a Teacher in New Orleans 2006 1 7 4.99 179 22.99 R 2013-05-26 14:50:58.951
324 Flintstones Happiness A Fateful Story of a Husband And a Moose who must Vanquish a Boy in California 2006 1 3 4.99 148 11.99 PG-13 2013-05-26 14:50:58.951
325 Floats Garden A Action-Packed Epistle of a Robot And a Car who must Chase a Boat in Ancient Japan 2006 1 6 2.99 145 29.99 PG-13 2013-05-26 14:50:58.951
326 Flying Hook A Thrilling Display of a Mad Cow And a Dog who must Challenge a Frisbee in Nigeria 2006 1 6 2.99 69 18.99 NC-17 2013-05-26 14:50:58.951
327 Fool Mockingbird A Lacklusture Tale of a Crocodile And a Composer who must Defeat a Madman in A U-Boat 2006 1 3 4.99 158 24.99 PG 2013-05-26 14:50:58.951
328 Forever Candidate A Unbelieveable Panorama of a Technical Writer And a Man who must Pursue a Frisbee in A U-Boat 2006 1 7 2.99 131 28.99 NC-17 2013-05-26 14:50:58.951
329 Forrest Sons A Thrilling Documentary of a Forensic Psychologist And a Butler who must Defeat a Explorer in A Jet Boat 2006 1 4 2.99 63 15.99 R 2013-05-26 14:50:58.951
330 Forrester Comancheros A Fateful Tale of a Squirrel And a Forensic Psychologist who must Redeem a Man in Nigeria 2006 1 7 4.99 112 22.99 NC-17 2013-05-26 14:50:58.951
331 Forward Temple A Astounding Display of a Forensic Psychologist And a Mad Scientist who must Challenge a Girl in New Orleans 2006 1 6 2.99 90 25.99 NC-17 2013-05-26 14:50:58.951
332 Frankenstein Stranger A Insightful Character Study of a Feminist And a Pioneer who must Pursue a Pastry Chef in Nigeria 2006 1 7 0.99 159 16.99 NC-17 2013-05-26 14:50:58.951
333 Freaky Pocus A Fast-Paced Documentary of a Pastry Chef And a Crocodile who must Chase a Squirrel in The Gulf of Mexico 2006 1 7 2.99 126 16.99 R 2013-05-26 14:50:58.951
334 Freddy Storm A Intrepid Saga of a Man And a Lumberjack who must Vanquish a Husband in The Outback 2006 1 6 4.99 65 21.99 NC-17 2013-05-26 14:50:58.951
335 Freedom Cleopatra A Emotional Reflection of a Dentist And a Mad Cow who must Face a Squirrel in A Baloon 2006 1 5 0.99 133 23.99 PG-13 2013-05-26 14:50:58.951
336 French Holiday A Thrilling Epistle of a Dog And a Feminist who must Kill a Madman in Berlin 2006 1 5 4.99 99 22.99 PG 2013-05-26 14:50:58.951
337 Frida Slipper A Fateful Story of a Lumberjack And a Car who must Escape a Boat in An Abandoned Mine Shaft 2006 1 6 2.99 73 11.99 R 2013-05-26 14:50:58.951
338 Frisco Forrest A Beautiful Documentary of a Woman And a Pioneer who must Pursue a Mad Scientist in A Shark Tank 2006 1 6 4.99 51 23.99 PG 2013-05-26 14:50:58.951
339 Frogmen Breaking A Unbelieveable Yarn of a Mad Scientist And a Cat who must Chase a Lumberjack in Australia 2006 1 5 0.99 111 17.99 R 2013-05-26 14:50:58.951
340 Frontier Cabin A Emotional Story of a Madman And a Waitress who must Battle a Teacher in An Abandoned Fun House 2006 1 6 4.99 183 14.99 PG-13 2013-05-26 14:50:58.951
341 Frost Head A Amazing Reflection of a Lumberjack And a Cat who must Discover a Husband in A MySQL Convention 2006 1 5 0.99 82 13.99 PG 2013-05-26 14:50:58.951
342 Fugitive Maguire A Taut Epistle of a Feminist And a Sumo Wrestler who must Battle a Crocodile in Australia 2006 1 7 4.99 83 28.99 R 2013-05-26 14:50:58.951
343 Full Flatliners A Beautiful Documentary of a Astronaut And a Moose who must Pursue a Monkey in A Shark Tank 2006 1 6 2.99 94 14.99 PG 2013-05-26 14:50:58.951
344 Fury Murder A Lacklusture Reflection of a Boat And a Forensic Psychologist who must Fight a Waitress in A Monastery 2006 1 3 0.99 178 28.99 PG-13 2013-05-26 14:50:58.951
345 Gables Metropolis A Fateful Display of a Cat And a Pioneer who must Challenge a Pastry Chef in A Baloon Factory 2006 1 3 0.99 161 17.99 PG 2013-05-26 14:50:58.951
346 Galaxy Sweethearts A Emotional Reflection of a Womanizer And a Pioneer who must Face a Squirrel in Berlin 2006 1 4 4.99 128 13.99 R 2013-05-26 14:50:58.951
347 Games Bowfinger A Astounding Documentary of a Butler And a Explorer who must Challenge a Butler in A Monastery 2006 1 7 4.99 119 17.99 PG-13 2013-05-26 14:50:58.951
348 Gandhi Kwai A Thoughtful Display of a Mad Scientist And a Secret Agent who must Chase a Boat in Berlin 2006 1 7 0.99 86 9.99 PG-13 2013-05-26 14:50:58.951
349 Gangs Pride A Taut Character Study of a Woman And a A Shark who must Confront a Frisbee in Berlin 2006 1 4 2.99 185 27.99 PG-13 2013-05-26 14:50:58.951
350 Garden Island A Unbelieveable Character Study of a Womanizer And a Madman who must Reach a Man in The Outback 2006 1 3 4.99 80 21.99 G 2013-05-26 14:50:58.951
351 Gaslight Crusade A Amazing Epistle of a Boy And a Astronaut who must Redeem a Man in The Gulf of Mexico 2006 1 4 2.99 106 10.99 PG 2013-05-26 14:50:58.951
352 Gathering Calendar A Intrepid Tale of a Pioneer And a Moose who must Conquer a Frisbee in A MySQL Convention 2006 1 4 0.99 176 22.99 PG-13 2013-05-26 14:50:58.951
353 Gentlemen Stage A Awe-Inspiring Reflection of a Monkey And a Student who must Overcome a Dentist in The First Manned Space Station 2006 1 6 2.99 125 22.99 NC-17 2013-05-26 14:50:58.951
354 Ghost Groundhog A Brilliant Panorama of a Madman And a Composer who must Succumb a Car in Ancient India 2006 1 6 4.99 85 18.99 G 2013-05-26 14:50:58.951
355 Ghostbusters Elf A Thoughtful Epistle of a Dog And a Feminist who must Chase a Composer in Berlin 2006 1 7 0.99 101 18.99 R 2013-05-26 14:50:58.951
357 Gilbert Pelican A Fateful Tale of a Man And a Feminist who must Conquer a Crocodile in A Manhattan Penthouse 2006 1 7 0.99 114 13.99 G 2013-05-26 14:50:58.951
358 Gilmore Boiled A Unbelieveable Documentary of a Boat And a Husband who must Succumb a Student in A U-Boat 2006 1 5 0.99 163 29.99 R 2013-05-26 14:50:58.951
359 Gladiator Westward A Astounding Reflection of a Squirrel And a Sumo Wrestler who must Sink a Dentist in Ancient Japan 2006 1 6 4.99 173 20.99 PG 2013-05-26 14:50:58.951
360 Glass Dying A Astounding Drama of a Frisbee And a Astronaut who must Fight a Dog in Ancient Japan 2006 1 4 0.99 103 24.99 G 2013-05-26 14:50:58.951
361 Gleaming Jawbreaker A Amazing Display of a Composer And a Forensic Psychologist who must Discover a Car in The Canadian Rockies 2006 1 5 2.99 89 25.99 NC-17 2013-05-26 14:50:58.951
362 Glory Tracy A Amazing Saga of a Woman And a Womanizer who must Discover a Cat in The First Manned Space Station 2006 1 7 2.99 115 13.99 PG-13 2013-05-26 14:50:58.951
363 Go Purple A Fast-Paced Display of a Car And a Database Administrator who must Battle a Woman in A Baloon 2006 1 3 0.99 54 12.99 R 2013-05-26 14:50:58.951
364 Godfather Diary A Stunning Saga of a Lumberjack And a Squirrel who must Chase a Car in The Outback 2006 1 3 2.99 73 14.99 NC-17 2013-05-26 14:50:58.951
365 Gold River A Taut Documentary of a Database Administrator And a Waitress who must Reach a Mad Scientist in A Baloon Factory 2006 1 4 4.99 154 21.99 R 2013-05-26 14:50:58.951
366 Goldfinger Sensibility A Insightful Drama of a Mad Scientist And a Hunter who must Defeat a Pastry Chef in New Orleans 2006 1 3 0.99 93 29.99 G 2013-05-26 14:50:58.951
367 Goldmine Tycoon A Brilliant Epistle of a Composer And a Frisbee who must Conquer a Husband in The Outback 2006 1 6 0.99 153 20.99 R 2013-05-26 14:50:58.951
368 Gone Trouble A Insightful Character Study of a Mad Cow And a Forensic Psychologist who must Conquer a A Shark in A Manhattan Penthouse 2006 1 7 2.99 84 20.99 R 2013-05-26 14:50:58.951
369 Goodfellas Salute A Unbelieveable Tale of a Dog And a Explorer who must Sink a Mad Cow in A Baloon Factory 2006 1 4 4.99 56 22.99 PG 2013-05-26 14:50:58.951
370 Gorgeous Bingo A Action-Packed Display of a Sumo Wrestler And a Car who must Overcome a Waitress in A Baloon Factory 2006 1 4 2.99 108 26.99 R 2013-05-26 14:50:58.951
371 Gosford Donnie A Epic Panorama of a Mad Scientist And a Monkey who must Redeem a Secret Agent in Berlin 2006 1 5 4.99 129 17.99 G 2013-05-26 14:50:58.951
372 Graceland Dynamite A Taut Display of a Cat And a Girl who must Overcome a Database Administrator in New Orleans 2006 1 5 4.99 140 26.99 R 2013-05-26 14:50:58.951
373 Graduate Lord A Lacklusture Epistle of a Girl And a A Shark who must Meet a Mad Scientist in Ancient China 2006 1 7 2.99 156 14.99 G 2013-05-26 14:50:58.951
374 Graffiti Love A Unbelieveable Epistle of a Sumo Wrestler And a Hunter who must Build a Composer in Berlin 2006 1 3 0.99 117 29.99 PG 2013-05-26 14:50:58.951
375 Grail Frankenstein A Unbelieveable Saga of a Teacher And a Monkey who must Fight a Girl in An Abandoned Mine Shaft 2006 1 4 2.99 85 17.99 NC-17 2013-05-26 14:50:58.951
376 Grapes Fury A Boring Yarn of a Mad Cow And a Sumo Wrestler who must Meet a Robot in Australia 2006 1 4 0.99 155 20.99 G 2013-05-26 14:50:58.951
377 Grease Youth A Emotional Panorama of a Secret Agent And a Waitress who must Escape a Composer in Soviet Georgia 2006 1 7 0.99 135 20.99 G 2013-05-26 14:50:58.951
378 Greatest North A Astounding Character Study of a Secret Agent And a Robot who must Build a A Shark in Berlin 2006 1 5 2.99 93 24.99 NC-17 2013-05-26 14:50:58.951
379 Greedy Roots A Amazing Reflection of a A Shark And a Butler who must Chase a Hunter in The Canadian Rockies 2006 1 7 0.99 166 14.99 R 2013-05-26 14:50:58.951
380 Greek Everyone A Stunning Display of a Butler And a Teacher who must Confront a A Shark in The First Manned Space Station 2006 1 7 2.99 176 11.99 PG 2013-05-26 14:50:58.951
381 Grinch Massage A Intrepid Display of a Madman And a Feminist who must Pursue a Pioneer in The First Manned Space Station 2006 1 7 4.99 150 25.99 R 2013-05-26 14:50:58.951
382 Grit Clockwork A Thoughtful Display of a Dentist And a Squirrel who must Confront a Lumberjack in A Shark Tank 2006 1 3 0.99 137 21.99 PG 2013-05-26 14:50:58.951
383 Groove Fiction A Unbelieveable Reflection of a Moose And a A Shark who must Defeat a Lumberjack in An Abandoned Mine Shaft 2006 1 6 0.99 111 13.99 NC-17 2013-05-26 14:50:58.951
385 Groundhog Uncut A Brilliant Panorama of a Astronaut And a Technical Writer who must Discover a Butler in A Manhattan Penthouse 2006 1 6 4.99 139 26.99 PG-13 2013-05-26 14:50:58.951
386 Gump Date A Intrepid Yarn of a Explorer And a Student who must Kill a Husband in An Abandoned Mine Shaft 2006 1 3 4.99 53 12.99 NC-17 2013-05-26 14:50:58.951
387 Gun Bonnie A Boring Display of a Sumo Wrestler And a Husband who must Build a Waitress in The Gulf of Mexico 2006 1 7 0.99 100 27.99 G 2013-05-26 14:50:58.951
388 Gunfight Moon A Epic Reflection of a Pastry Chef And a Explorer who must Reach a Dentist in The Sahara Desert 2006 1 5 0.99 70 16.99 NC-17 2013-05-26 14:50:58.951
389 Gunfighter Mussolini A Touching Saga of a Robot And a Boy who must Kill a Man in Ancient Japan 2006 1 3 2.99 127 9.99 PG-13 2013-05-26 14:50:58.951
390 Guys Falcon A Boring Story of a Woman And a Feminist who must Redeem a Squirrel in A U-Boat 2006 1 4 4.99 84 20.99 R 2013-05-26 14:50:58.951
391 Half Outfield A Epic Epistle of a Database Administrator And a Crocodile who must Face a Madman in A Jet Boat 2006 1 6 2.99 146 25.99 PG-13 2013-05-26 14:50:58.951
392 Hall Cassidy A Beautiful Panorama of a Pastry Chef And a A Shark who must Battle a Pioneer in Soviet Georgia 2006 1 5 4.99 51 13.99 NC-17 2013-05-26 14:50:58.951
393 Halloween Nuts A Amazing Panorama of a Forensic Psychologist And a Technical Writer who must Fight a Dentist in A U-Boat 2006 1 6 2.99 47 19.99 PG-13 2013-05-26 14:50:58.951
394 Hamlet Wisdom A Touching Reflection of a Man And a Man who must Sink a Robot in The Outback 2006 1 7 2.99 146 21.99 R 2013-05-26 14:50:58.951
449 Identity Lover A Boring Tale of a Composer And a Mad Cow who must Defeat a Car in The Outback 2006 1 4 2.99 119 12.99 PG-13 2013-05-26 14:50:58.951
395 Handicap Boondock A Beautiful Display of a Pioneer And a Squirrel who must Vanquish a Sumo Wrestler in Soviet Georgia 2006 1 4 0.99 108 28.99 R 2013-05-26 14:50:58.951
396 Hanging Deep A Action-Packed Yarn of a Boat And a Crocodile who must Build a Monkey in Berlin 2006 1 5 4.99 62 18.99 G 2013-05-26 14:50:58.951
397 Hanky October A Boring Epistle of a Database Administrator And a Explorer who must Pursue a Madman in Soviet Georgia 2006 1 5 2.99 107 26.99 NC-17 2013-05-26 14:50:58.951
398 Hanover Galaxy A Stunning Reflection of a Girl And a Secret Agent who must Succumb a Boy in A MySQL Convention 2006 1 5 4.99 47 21.99 NC-17 2013-05-26 14:50:58.951
399 Happiness United A Action-Packed Panorama of a Husband And a Feminist who must Meet a Forensic Psychologist in Ancient Japan 2006 1 6 2.99 100 23.99 G 2013-05-26 14:50:58.951
400 Hardly Robbers A Emotional Character Study of a Hunter And a Car who must Kill a Woman in Berlin 2006 1 7 2.99 72 15.99 R 2013-05-26 14:50:58.951
401 Harold French A Stunning Saga of a Sumo Wrestler And a Student who must Outrace a Moose in The Sahara Desert 2006 1 6 0.99 168 10.99 NC-17 2013-05-26 14:50:58.951
402 Harper Dying A Awe-Inspiring Reflection of a Woman And a Cat who must Confront a Feminist in The Sahara Desert 2006 1 3 0.99 52 15.99 G 2013-05-26 14:50:58.951
403 Harry Idaho A Taut Yarn of a Technical Writer And a Feminist who must Outrace a Dog in California 2006 1 5 4.99 121 18.99 PG-13 2013-05-26 14:50:58.951
404 Hate Handicap A Intrepid Reflection of a Mad Scientist And a Pioneer who must Overcome a Hunter in The First Manned Space Station 2006 1 4 0.99 107 26.99 PG 2013-05-26 14:50:58.951
405 Haunted Antitrust A Amazing Saga of a Man And a Dentist who must Reach a Technical Writer in Ancient India 2006 1 6 4.99 76 13.99 NC-17 2013-05-26 14:50:58.951
406 Haunting Pianist A Fast-Paced Story of a Database Administrator And a Composer who must Defeat a Squirrel in An Abandoned Amusement Park 2006 1 5 0.99 181 22.99 R 2013-05-26 14:50:58.951
407 Hawk Chill A Action-Packed Drama of a Mad Scientist And a Composer who must Outgun a Car in Australia 2006 1 5 0.99 47 12.99 PG-13 2013-05-26 14:50:58.951
408 Head Stranger A Thoughtful Saga of a Hunter And a Crocodile who must Confront a Dog in The Gulf of Mexico 2006 1 4 4.99 69 28.99 R 2013-05-26 14:50:58.951
409 Heartbreakers Bright A Awe-Inspiring Documentary of a A Shark And a Dentist who must Outrace a Pastry Chef in The Canadian Rockies 2006 1 3 4.99 59 9.99 G 2013-05-26 14:50:58.951
410 Heaven Freedom A Intrepid Story of a Butler And a Car who must Vanquish a Man in New Orleans 2006 1 7 2.99 48 19.99 PG 2013-05-26 14:50:58.951
411 Heavenly Gun A Beautiful Yarn of a Forensic Psychologist And a Frisbee who must Battle a Moose in A Jet Boat 2006 1 5 4.99 49 13.99 NC-17 2013-05-26 14:50:58.951
412 Heavyweights Beast A Unbelieveable Story of a Composer And a Dog who must Overcome a Womanizer in An Abandoned Amusement Park 2006 1 6 4.99 102 25.99 G 2013-05-26 14:50:58.951
451 Igby Maker A Epic Documentary of a Hunter And a Dog who must Outgun a Dog in A Baloon Factory 2006 1 7 4.99 160 12.99 NC-17 2013-05-26 14:50:58.951
413 Hedwig Alter A Action-Packed Yarn of a Womanizer And a Lumberjack who must Chase a Sumo Wrestler in A Monastery 2006 1 7 2.99 169 16.99 NC-17 2013-05-26 14:50:58.951
414 Hellfighters Sierra A Taut Reflection of a A Shark And a Dentist who must Battle a Boat in Soviet Georgia 2006 1 3 2.99 75 23.99 PG 2013-05-26 14:50:58.951
415 High Encino A Fateful Saga of a Waitress And a Hunter who must Outrace a Sumo Wrestler in Australia 2006 1 3 2.99 84 23.99 R 2013-05-26 14:50:58.951
416 Highball Potter A Action-Packed Saga of a Husband And a Dog who must Redeem a Database Administrator in The Sahara Desert 2006 1 6 0.99 110 10.99 R 2013-05-26 14:50:58.951
417 Hills Neighbors A Epic Display of a Hunter And a Feminist who must Sink a Car in A U-Boat 2006 1 5 0.99 93 29.99 G 2013-05-26 14:50:58.951
418 Hobbit Alien A Emotional Drama of a Husband And a Girl who must Outgun a Composer in The First Manned Space Station 2006 1 5 0.99 157 27.99 PG-13 2013-05-26 14:50:58.951
419 Hocus Frida A Awe-Inspiring Tale of a Girl And a Madman who must Outgun a Student in A Shark Tank 2006 1 4 2.99 141 19.99 G 2013-05-26 14:50:58.951
420 Holes Brannigan A Fast-Paced Reflection of a Technical Writer And a Student who must Fight a Boy in The Canadian Rockies 2006 1 7 4.99 128 27.99 PG 2013-05-26 14:50:58.951
421 Holiday Games A Insightful Reflection of a Waitress And a Madman who must Pursue a Boy in Ancient Japan 2006 1 7 4.99 78 10.99 PG-13 2013-05-26 14:50:58.951
422 Hollow Jeopardy A Beautiful Character Study of a Robot And a Astronaut who must Overcome a Boat in A Monastery 2006 1 7 4.99 136 25.99 NC-17 2013-05-26 14:50:58.951
423 Hollywood Anonymous A Fast-Paced Epistle of a Boy And a Explorer who must Escape a Dog in A U-Boat 2006 1 7 0.99 69 29.99 PG 2013-05-26 14:50:58.951
424 Holocaust Highball A Awe-Inspiring Yarn of a Composer And a Man who must Find a Robot in Soviet Georgia 2006 1 6 0.99 149 12.99 R 2013-05-26 14:50:58.951
425 Holy Tadpole A Action-Packed Display of a Feminist And a Pioneer who must Pursue a Dog in A Baloon Factory 2006 1 6 0.99 88 20.99 R 2013-05-26 14:50:58.951
426 Home Pity A Touching Panorama of a Man And a Secret Agent who must Challenge a Teacher in A MySQL Convention 2006 1 7 4.99 185 15.99 R 2013-05-26 14:50:58.951
427 Homeward Cider A Taut Reflection of a Astronaut And a Squirrel who must Fight a Squirrel in A Manhattan Penthouse 2006 1 5 0.99 103 19.99 R 2013-05-26 14:50:58.951
428 Homicide Peach A Astounding Documentary of a Hunter And a Boy who must Confront a Boy in A MySQL Convention 2006 1 6 2.99 141 21.99 PG-13 2013-05-26 14:50:58.951
429 Honey Ties A Taut Story of a Waitress And a Crocodile who must Outrace a Lumberjack in A Shark Tank 2006 1 3 0.99 84 29.99 R 2013-05-26 14:50:58.951
430 Hook Chariots A Insightful Story of a Boy And a Dog who must Redeem a Boy in Australia 2006 1 7 0.99 49 23.99 G 2013-05-26 14:50:58.951
450 Idols Snatchers A Insightful Drama of a Car And a Composer who must Fight a Man in A Monastery 2006 1 5 2.99 84 29.99 NC-17 2013-05-26 14:50:58.951
431 Hoosiers Birdcage A Astounding Display of a Explorer And a Boat who must Vanquish a Car in The First Manned Space Station 2006 1 3 2.99 176 12.99 G 2013-05-26 14:50:58.951
432 Hope Tootsie A Amazing Documentary of a Student And a Sumo Wrestler who must Outgun a A Shark in A Shark Tank 2006 1 4 2.99 139 22.99 NC-17 2013-05-26 14:50:58.951
433 Horn Working A Stunning Display of a Mad Scientist And a Technical Writer who must Succumb a Monkey in A Shark Tank 2006 1 4 2.99 95 23.99 PG 2013-05-26 14:50:58.951
434 Horror Reign A Touching Documentary of a A Shark And a Car who must Build a Husband in Nigeria 2006 1 3 0.99 139 25.99 R 2013-05-26 14:50:58.951
435 Hotel Happiness A Thrilling Yarn of a Pastry Chef And a A Shark who must Challenge a Mad Scientist in The Outback 2006 1 6 4.99 181 28.99 PG-13 2013-05-26 14:50:58.951
436 Hours Rage A Fateful Story of a Explorer And a Feminist who must Meet a Technical Writer in Soviet Georgia 2006 1 4 0.99 122 14.99 NC-17 2013-05-26 14:50:58.951
437 House Dynamite A Taut Story of a Pioneer And a Squirrel who must Battle a Student in Soviet Georgia 2006 1 7 2.99 109 13.99 R 2013-05-26 14:50:58.951
438 Human Graffiti A Beautiful Reflection of a Womanizer And a Sumo Wrestler who must Chase a Database Administrator in The Gulf of Mexico 2006 1 3 2.99 68 22.99 NC-17 2013-05-26 14:50:58.951
439 Hunchback Impossible A Touching Yarn of a Frisbee And a Dentist who must Fight a Composer in Ancient Japan 2006 1 4 4.99 151 28.99 PG-13 2013-05-26 14:50:58.951
440 Hunger Roof A Unbelieveable Yarn of a Student And a Database Administrator who must Outgun a Husband in An Abandoned Mine Shaft 2006 1 6 0.99 105 21.99 G 2013-05-26 14:50:58.951
441 Hunter Alter A Emotional Drama of a Mad Cow And a Boat who must Redeem a Secret Agent in A Shark Tank 2006 1 5 2.99 125 21.99 PG-13 2013-05-26 14:50:58.951
442 Hunting Musketeers A Thrilling Reflection of a Pioneer And a Dentist who must Outrace a Womanizer in An Abandoned Mine Shaft 2006 1 6 2.99 65 24.99 NC-17 2013-05-26 14:50:58.951
443 Hurricane Affair A Lacklusture Epistle of a Database Administrator And a Woman who must Meet a Hunter in An Abandoned Mine Shaft 2006 1 6 2.99 49 11.99 PG 2013-05-26 14:50:58.951
444 Hustler Party A Emotional Reflection of a Sumo Wrestler And a Monkey who must Conquer a Robot in The Sahara Desert 2006 1 3 4.99 83 22.99 NC-17 2013-05-26 14:50:58.951
445 Hyde Doctor A Fanciful Documentary of a Boy And a Woman who must Redeem a Womanizer in A Jet Boat 2006 1 5 2.99 100 11.99 G 2013-05-26 14:50:58.951
446 Hysterical Grail A Amazing Saga of a Madman And a Dentist who must Build a Car in A Manhattan Penthouse 2006 1 5 4.99 150 19.99 PG 2013-05-26 14:50:58.951
447 Ice Crossing A Fast-Paced Tale of a Butler And a Moose who must Overcome a Pioneer in A Manhattan Penthouse 2006 1 5 2.99 131 28.99 R 2013-05-26 14:50:58.951
448 Idaho Love A Fast-Paced Drama of a Student And a Crocodile who must Meet a Database Administrator in The Outback 2006 1 3 2.99 172 25.99 PG-13 2013-05-26 14:50:58.951
452 Illusion Amelie A Emotional Epistle of a Boat And a Mad Scientist who must Outrace a Robot in An Abandoned Mine Shaft 2006 1 4 0.99 122 15.99 R 2013-05-26 14:50:58.951
545 Madness Attacks A Fanciful Tale of a Squirrel And a Boat who must Defeat a Crocodile in The Gulf of Mexico 2006 1 4 0.99 178 14.99 PG-13 2013-05-26 14:50:58.951
453 Image Princess A Lacklusture Panorama of a Secret Agent And a Crocodile who must Discover a Madman in The Canadian Rockies 2006 1 3 2.99 178 17.99 PG-13 2013-05-26 14:50:58.951
454 Impact Aladdin A Epic Character Study of a Frisbee And a Moose who must Outgun a Technical Writer in A Shark Tank 2006 1 6 0.99 180 20.99 PG-13 2013-05-26 14:50:58.951
455 Impossible Prejudice A Awe-Inspiring Yarn of a Monkey And a Hunter who must Chase a Teacher in Ancient China 2006 1 7 4.99 103 11.99 NC-17 2013-05-26 14:50:58.951
456 Inch Jet A Fateful Saga of a Womanizer And a Student who must Defeat a Butler in A Monastery 2006 1 6 4.99 167 18.99 NC-17 2013-05-26 14:50:58.951
457 Independence Hotel A Thrilling Tale of a Technical Writer And a Boy who must Face a Pioneer in A Monastery 2006 1 5 0.99 157 21.99 NC-17 2013-05-26 14:50:58.951
458 Indian Love A Insightful Saga of a Mad Scientist And a Mad Scientist who must Kill a Astronaut in An Abandoned Fun House 2006 1 4 0.99 135 26.99 NC-17 2013-05-26 14:50:58.951
459 Informer Double A Action-Packed Display of a Woman And a Dentist who must Redeem a Forensic Psychologist in The Canadian Rockies 2006 1 4 4.99 74 23.99 NC-17 2013-05-26 14:50:58.951
460 Innocent Usual A Beautiful Drama of a Pioneer And a Crocodile who must Challenge a Student in The Outback 2006 1 3 4.99 178 26.99 PG-13 2013-05-26 14:50:58.951
461 Insects Stone A Epic Display of a Butler And a Dog who must Vanquish a Crocodile in A Manhattan Penthouse 2006 1 3 0.99 123 14.99 NC-17 2013-05-26 14:50:58.951
462 Insider Arizona A Astounding Saga of a Mad Scientist And a Hunter who must Pursue a Robot in A Baloon Factory 2006 1 5 2.99 78 17.99 NC-17 2013-05-26 14:50:58.951
463 Instinct Airport A Touching Documentary of a Mad Cow And a Explorer who must Confront a Butler in A Manhattan Penthouse 2006 1 4 2.99 116 21.99 PG 2013-05-26 14:50:58.951
464 Intentions Empire A Astounding Epistle of a Cat And a Cat who must Conquer a Mad Cow in A U-Boat 2006 1 3 2.99 107 13.99 PG-13 2013-05-26 14:50:58.951
465 Interview Liaisons A Action-Packed Reflection of a Student And a Butler who must Discover a Database Administrator in A Manhattan Penthouse 2006 1 4 4.99 59 17.99 R 2013-05-26 14:50:58.951
466 Intolerable Intentions A Awe-Inspiring Story of a Monkey And a Pastry Chef who must Succumb a Womanizer in A MySQL Convention 2006 1 6 4.99 63 20.99 PG-13 2013-05-26 14:50:58.951
467 Intrigue Worst A Fanciful Character Study of a Explorer And a Mad Scientist who must Vanquish a Squirrel in A Jet Boat 2006 1 6 0.99 181 10.99 G 2013-05-26 14:50:58.951
468 Invasion Cyclone A Lacklusture Character Study of a Mad Scientist And a Womanizer who must Outrace a Explorer in A Monastery 2006 1 5 2.99 97 12.99 PG 2013-05-26 14:50:58.951
469 Iron Moon A Fast-Paced Documentary of a Mad Cow And a Boy who must Pursue a Dentist in A Baloon 2006 1 7 4.99 46 27.99 PG 2013-05-26 14:50:58.951
470 Ishtar Rocketeer A Astounding Saga of a Dog And a Squirrel who must Conquer a Dog in An Abandoned Fun House 2006 1 4 4.99 79 24.99 R 2013-05-26 14:50:58.951
471 Island Exorcist A Fanciful Panorama of a Technical Writer And a Boy who must Find a Dentist in An Abandoned Fun House 2006 1 7 2.99 84 23.99 NC-17 2013-05-26 14:50:58.951
472 Italian African A Astounding Character Study of a Monkey And a Moose who must Outgun a Cat in A U-Boat 2006 1 3 4.99 174 24.99 G 2013-05-26 14:50:58.951
473 Jacket Frisco A Insightful Reflection of a Womanizer And a Husband who must Conquer a Pastry Chef in A Baloon 2006 1 5 2.99 181 16.99 PG-13 2013-05-26 14:50:58.951
474 Jade Bunch A Insightful Panorama of a Squirrel And a Mad Cow who must Confront a Student in The First Manned Space Station 2006 1 6 2.99 174 21.99 NC-17 2013-05-26 14:50:58.951
475 Japanese Run A Awe-Inspiring Epistle of a Feminist And a Girl who must Sink a Girl in The Outback 2006 1 6 0.99 135 29.99 G 2013-05-26 14:50:58.951
476 Jason Trap A Thoughtful Tale of a Woman And a A Shark who must Conquer a Dog in A Monastery 2006 1 5 2.99 130 9.99 NC-17 2013-05-26 14:50:58.951
477 Jawbreaker Brooklyn A Stunning Reflection of a Boat And a Pastry Chef who must Succumb a A Shark in A Jet Boat 2006 1 5 0.99 118 15.99 PG 2013-05-26 14:50:58.951
478 Jaws Harry A Thrilling Display of a Database Administrator And a Monkey who must Overcome a Dog in An Abandoned Fun House 2006 1 4 2.99 112 10.99 G 2013-05-26 14:50:58.951
479 Jedi Beneath A Astounding Reflection of a Explorer And a Dentist who must Pursue a Student in Nigeria 2006 1 7 0.99 128 12.99 PG 2013-05-26 14:50:58.951
480 Jeepers Wedding A Astounding Display of a Composer And a Dog who must Kill a Pastry Chef in Soviet Georgia 2006 1 3 2.99 84 29.99 R 2013-05-26 14:50:58.951
481 Jekyll Frogmen A Fanciful Epistle of a Student And a Astronaut who must Kill a Waitress in A Shark Tank 2006 1 4 2.99 58 22.99 PG 2013-05-26 14:50:58.951
482 Jeopardy Encino A Boring Panorama of a Man And a Mad Cow who must Face a Explorer in Ancient India 2006 1 3 0.99 102 12.99 R 2013-05-26 14:50:58.951
483 Jericho Mulan A Amazing Yarn of a Hunter And a Butler who must Defeat a Boy in A Jet Boat 2006 1 3 2.99 171 29.99 NC-17 2013-05-26 14:50:58.951
484 Jerk Paycheck A Touching Character Study of a Pastry Chef And a Database Administrator who must Reach a A Shark in Ancient Japan 2006 1 3 2.99 172 13.99 NC-17 2013-05-26 14:50:58.951
485 Jersey Sassy A Lacklusture Documentary of a Madman And a Mad Cow who must Find a Feminist in Ancient Japan 2006 1 6 4.99 60 16.99 PG 2013-05-26 14:50:58.951
486 Jet Neighbors A Amazing Display of a Lumberjack And a Teacher who must Outrace a Woman in A U-Boat 2006 1 7 4.99 59 14.99 R 2013-05-26 14:50:58.951
487 Jingle Sagebrush A Epic Character Study of a Feminist And a Student who must Meet a Woman in A Baloon 2006 1 6 4.99 124 29.99 PG-13 2013-05-26 14:50:58.951
488 Joon Northwest A Thrilling Panorama of a Technical Writer And a Car who must Discover a Forensic Psychologist in A Shark Tank 2006 1 3 0.99 105 23.99 NC-17 2013-05-26 14:50:58.951
489 Juggler Hardly A Epic Story of a Mad Cow And a Astronaut who must Challenge a Car in California 2006 1 4 0.99 54 14.99 PG-13 2013-05-26 14:50:58.951
490 Jumanji Blade A Intrepid Yarn of a Husband And a Womanizer who must Pursue a Mad Scientist in New Orleans 2006 1 4 2.99 121 13.99 G 2013-05-26 14:50:58.951
491 Jumping Wrath A Touching Epistle of a Monkey And a Feminist who must Discover a Boat in Berlin 2006 1 4 0.99 74 18.99 NC-17 2013-05-26 14:50:58.951
492 Jungle Closer A Boring Character Study of a Boy And a Woman who must Battle a Astronaut in Australia 2006 1 6 0.99 134 11.99 NC-17 2013-05-26 14:50:58.951
493 Kane Exorcist A Epic Documentary of a Composer And a Robot who must Overcome a Car in Berlin 2006 1 5 0.99 92 18.99 R 2013-05-26 14:50:58.951
494 Karate Moon A Astounding Yarn of a Womanizer And a Dog who must Reach a Waitress in A MySQL Convention 2006 1 4 0.99 120 21.99 PG-13 2013-05-26 14:50:58.951
495 Kentuckian Giant A Stunning Yarn of a Woman And a Frisbee who must Escape a Waitress in A U-Boat 2006 1 5 2.99 169 10.99 PG 2013-05-26 14:50:58.951
496 Kick Savannah A Emotional Drama of a Monkey And a Robot who must Defeat a Monkey in New Orleans 2006 1 3 0.99 179 10.99 PG-13 2013-05-26 14:50:58.951
497 Kill Brotherhood A Touching Display of a Hunter And a Secret Agent who must Redeem a Husband in The Outback 2006 1 4 0.99 54 15.99 G 2013-05-26 14:50:58.951
498 Killer Innocent A Fanciful Character Study of a Student And a Explorer who must Succumb a Composer in An Abandoned Mine Shaft 2006 1 7 2.99 161 11.99 R 2013-05-26 14:50:58.951
499 King Evolution A Action-Packed Tale of a Boy And a Lumberjack who must Chase a Madman in A Baloon 2006 1 3 4.99 184 24.99 NC-17 2013-05-26 14:50:58.951
500 Kiss Glory A Lacklusture Reflection of a Girl And a Husband who must Find a Robot in The Canadian Rockies 2006 1 5 4.99 163 11.99 PG-13 2013-05-26 14:50:58.951
501 Kissing Dolls A Insightful Reflection of a Pioneer And a Teacher who must Build a Composer in The First Manned Space Station 2006 1 3 4.99 141 9.99 R 2013-05-26 14:50:58.951
502 Knock Warlock A Unbelieveable Story of a Teacher And a Boat who must Confront a Moose in A Baloon 2006 1 4 2.99 71 21.99 PG-13 2013-05-26 14:50:58.951
503 Kramer Chocolate A Amazing Yarn of a Robot And a Pastry Chef who must Redeem a Mad Scientist in The Outback 2006 1 3 2.99 171 24.99 R 2013-05-26 14:50:58.951
504 Kwai Homeward A Amazing Drama of a Car And a Squirrel who must Pursue a Car in Soviet Georgia 2006 1 5 0.99 46 25.99 PG-13 2013-05-26 14:50:58.951
505 Labyrinth League A Awe-Inspiring Saga of a Composer And a Frisbee who must Succumb a Pioneer in The Sahara Desert 2006 1 6 2.99 46 24.99 PG-13 2013-05-26 14:50:58.951
753 Rush Goodfellas A Emotional Display of a Man And a Dentist who must Challenge a Squirrel in Australia 2006 1 3 0.99 48 20.99 PG 2013-05-26 14:50:58.951
506 Lady Stage A Beautiful Character Study of a Woman And a Man who must Pursue a Explorer in A U-Boat 2006 1 4 4.99 67 14.99 PG 2013-05-26 14:50:58.951
507 Ladybugs Armageddon A Fateful Reflection of a Dog And a Mad Scientist who must Meet a Mad Scientist in New Orleans 2006 1 4 0.99 113 13.99 NC-17 2013-05-26 14:50:58.951
508 Lambs Cincinatti A Insightful Story of a Man And a Feminist who must Fight a Composer in Australia 2006 1 6 4.99 144 18.99 PG-13 2013-05-26 14:50:58.951
509 Language Cowboy A Epic Yarn of a Cat And a Madman who must Vanquish a Dentist in An Abandoned Amusement Park 2006 1 5 0.99 78 26.99 NC-17 2013-05-26 14:50:58.951
510 Lawless Vision A Insightful Yarn of a Boy And a Sumo Wrestler who must Outgun a Car in The Outback 2006 1 6 4.99 181 29.99 G 2013-05-26 14:50:58.951
511 Lawrence Love A Fanciful Yarn of a Database Administrator And a Mad Cow who must Pursue a Womanizer in Berlin 2006 1 7 0.99 175 23.99 NC-17 2013-05-26 14:50:58.951
512 League Hellfighters A Thoughtful Saga of a A Shark And a Monkey who must Outgun a Student in Ancient China 2006 1 5 4.99 110 25.99 PG-13 2013-05-26 14:50:58.951
513 Leathernecks Dwarfs A Fateful Reflection of a Dog And a Mad Cow who must Outrace a Teacher in An Abandoned Mine Shaft 2006 1 6 2.99 153 21.99 PG-13 2013-05-26 14:50:58.951
514 Lebowski Soldiers A Beautiful Epistle of a Secret Agent And a Pioneer who must Chase a Astronaut in Ancient China 2006 1 6 2.99 69 17.99 PG-13 2013-05-26 14:50:58.951
515 Legally Secretary A Astounding Tale of a A Shark And a Moose who must Meet a Womanizer in The Sahara Desert 2006 1 7 4.99 113 14.99 PG 2013-05-26 14:50:58.951
516 Legend Jedi A Awe-Inspiring Epistle of a Pioneer And a Student who must Outgun a Crocodile in The Outback 2006 1 7 0.99 59 18.99 PG 2013-05-26 14:50:58.951
517 Lesson Cleopatra A Emotional Display of a Man And a Explorer who must Build a Boy in A Manhattan Penthouse 2006 1 3 0.99 167 28.99 NC-17 2013-05-26 14:50:58.951
518 Liaisons Sweet A Boring Drama of a A Shark And a Explorer who must Redeem a Waitress in The Canadian Rockies 2006 1 5 4.99 140 15.99 PG 2013-05-26 14:50:58.951
519 Liberty Magnificent A Boring Drama of a Student And a Cat who must Sink a Technical Writer in A Baloon 2006 1 3 2.99 138 27.99 G 2013-05-26 14:50:58.951
520 License Weekend A Insightful Story of a Man And a Husband who must Overcome a Madman in A Monastery 2006 1 7 2.99 91 28.99 NC-17 2013-05-26 14:50:58.951
521 Lies Treatment A Fast-Paced Character Study of a Dentist And a Moose who must Defeat a Composer in The First Manned Space Station 2006 1 7 4.99 147 28.99 NC-17 2013-05-26 14:50:58.951
522 Life Twisted A Thrilling Reflection of a Teacher And a Composer who must Find a Man in The First Manned Space Station 2006 1 4 2.99 137 9.99 NC-17 2013-05-26 14:50:58.951
523 Lights Deer A Unbelieveable Epistle of a Dog And a Woman who must Confront a Moose in The Gulf of Mexico 2006 1 7 0.99 174 21.99 R 2013-05-26 14:50:58.951
560 Mars Roman A Boring Drama of a Car And a Dog who must Succumb a Madman in Soviet Georgia 2006 1 6 0.99 62 21.99 NC-17 2013-05-26 14:50:58.951
524 Lion Uncut A Intrepid Display of a Pastry Chef And a Cat who must Kill a A Shark in Ancient China 2006 1 6 0.99 50 13.99 PG 2013-05-26 14:50:58.951
525 Loathing Legally A Boring Epistle of a Pioneer And a Mad Scientist who must Escape a Frisbee in The Gulf of Mexico 2006 1 4 0.99 140 29.99 R 2013-05-26 14:50:58.951
526 Lock Rear A Thoughtful Character Study of a Squirrel And a Technical Writer who must Outrace a Student in Ancient Japan 2006 1 7 2.99 120 10.99 R 2013-05-26 14:50:58.951
527 Lola Agent A Astounding Tale of a Mad Scientist And a Husband who must Redeem a Database Administrator in Ancient Japan 2006 1 4 4.99 85 24.99 PG 2013-05-26 14:50:58.951
528 Lolita World A Thrilling Drama of a Girl And a Robot who must Redeem a Waitress in An Abandoned Mine Shaft 2006 1 4 2.99 155 25.99 NC-17 2013-05-26 14:50:58.951
529 Lonely Elephant A Intrepid Story of a Student And a Dog who must Challenge a Explorer in Soviet Georgia 2006 1 3 2.99 67 12.99 G 2013-05-26 14:50:58.951
530 Lord Arizona A Action-Packed Display of a Frisbee And a Pastry Chef who must Pursue a Crocodile in A Jet Boat 2006 1 5 2.99 108 27.99 PG-13 2013-05-26 14:50:58.951
531 Lose Inch A Stunning Reflection of a Student And a Technical Writer who must Battle a Butler in The First Manned Space Station 2006 1 3 0.99 137 18.99 R 2013-05-26 14:50:58.951
532 Loser Hustler A Stunning Drama of a Robot And a Feminist who must Outgun a Butler in Nigeria 2006 1 5 4.99 80 28.99 PG 2013-05-26 14:50:58.951
533 Lost Bird A Emotional Character Study of a Robot And a A Shark who must Defeat a Technical Writer in A Manhattan Penthouse 2006 1 4 2.99 98 21.99 PG-13 2013-05-26 14:50:58.951
534 Louisiana Harry A Lacklusture Drama of a Girl And a Technical Writer who must Redeem a Monkey in A Shark Tank 2006 1 5 0.99 70 18.99 PG-13 2013-05-26 14:50:58.951
535 Love Suicides A Brilliant Panorama of a Hunter And a Explorer who must Pursue a Dentist in An Abandoned Fun House 2006 1 6 0.99 181 21.99 R 2013-05-26 14:50:58.951
536 Lovely Jingle A Fanciful Yarn of a Crocodile And a Forensic Psychologist who must Discover a Crocodile in The Outback 2006 1 3 2.99 65 18.99 PG 2013-05-26 14:50:58.951
537 Lover Truman A Emotional Yarn of a Robot And a Boy who must Outgun a Technical Writer in A U-Boat 2006 1 3 2.99 75 29.99 G 2013-05-26 14:50:58.951
538 Loverboy Attacks A Boring Story of a Car And a Butler who must Build a Girl in Soviet Georgia 2006 1 7 0.99 162 19.99 PG-13 2013-05-26 14:50:58.951
539 Luck Opus A Boring Display of a Moose And a Squirrel who must Outrace a Teacher in A Shark Tank 2006 1 7 2.99 152 21.99 NC-17 2013-05-26 14:50:58.951
540 Lucky Flying A Lacklusture Character Study of a A Shark And a Man who must Find a Forensic Psychologist in A U-Boat 2006 1 7 2.99 97 10.99 PG-13 2013-05-26 14:50:58.951
541 Luke Mummy A Taut Character Study of a Boy And a Robot who must Redeem a Mad Scientist in Ancient India 2006 1 5 2.99 74 21.99 NC-17 2013-05-26 14:50:58.951
561 Mask Peach A Boring Character Study of a Student And a Robot who must Meet a Woman in California 2006 1 6 2.99 123 26.99 NC-17 2013-05-26 14:50:58.951
542 Lust Lock A Fanciful Panorama of a Hunter And a Dentist who must Meet a Secret Agent in The Sahara Desert 2006 1 3 2.99 52 28.99 G 2013-05-26 14:50:58.951
543 Madigan Dorado A Astounding Character Study of a A Shark And a A Shark who must Discover a Crocodile in The Outback 2006 1 5 4.99 116 20.99 R 2013-05-26 14:50:58.951
544 Madison Trap A Awe-Inspiring Reflection of a Monkey And a Dentist who must Overcome a Pioneer in A U-Boat 2006 1 4 2.99 147 11.99 R 2013-05-26 14:50:58.951
546 Madre Gables A Intrepid Panorama of a Sumo Wrestler And a Forensic Psychologist who must Discover a Moose in The First Manned Space Station 2006 1 7 2.99 98 27.99 PG-13 2013-05-26 14:50:58.951
547 Magic Mallrats A Touching Documentary of a Pastry Chef And a Pastry Chef who must Build a Mad Scientist in California 2006 1 3 0.99 117 19.99 PG 2013-05-26 14:50:58.951
548 Magnificent Chitty A Insightful Story of a Teacher And a Hunter who must Face a Mad Cow in California 2006 1 3 2.99 53 27.99 R 2013-05-26 14:50:58.951
549 Magnolia Forrester A Thoughtful Documentary of a Composer And a Explorer who must Conquer a Dentist in New Orleans 2006 1 4 0.99 171 28.99 PG-13 2013-05-26 14:50:58.951
550 Maguire Apache A Fast-Paced Reflection of a Waitress And a Hunter who must Defeat a Forensic Psychologist in A Baloon 2006 1 6 2.99 74 22.99 NC-17 2013-05-26 14:50:58.951
551 Maiden Home A Lacklusture Saga of a Moose And a Teacher who must Kill a Forensic Psychologist in A MySQL Convention 2006 1 3 4.99 138 9.99 PG 2013-05-26 14:50:58.951
552 Majestic Floats A Thrilling Character Study of a Moose And a Student who must Escape a Butler in The First Manned Space Station 2006 1 5 0.99 130 15.99 PG 2013-05-26 14:50:58.951
553 Maker Gables A Stunning Display of a Moose And a Database Administrator who must Pursue a Composer in A Jet Boat 2006 1 4 0.99 136 12.99 PG-13 2013-05-26 14:50:58.951
554 Malkovich Pet A Intrepid Reflection of a Waitress And a A Shark who must Kill a Squirrel in The Outback 2006 1 6 2.99 159 22.99 G 2013-05-26 14:50:58.951
555 Mallrats United A Thrilling Yarn of a Waitress And a Dentist who must Find a Hunter in A Monastery 2006 1 4 0.99 133 25.99 PG 2013-05-26 14:50:58.951
556 Maltese Hope A Fast-Paced Documentary of a Crocodile And a Sumo Wrestler who must Conquer a Explorer in California 2006 1 6 4.99 127 26.99 PG-13 2013-05-26 14:50:58.951
557 Manchurian Curtain A Stunning Tale of a Mad Cow And a Boy who must Battle a Boy in Berlin 2006 1 5 2.99 177 27.99 PG 2013-05-26 14:50:58.951
558 Mannequin Worst A Astounding Saga of a Mad Cow And a Pastry Chef who must Discover a Husband in Ancient India 2006 1 3 2.99 71 18.99 PG-13 2013-05-26 14:50:58.951
559 Married Go A Fanciful Story of a Womanizer And a Dog who must Face a Forensic Psychologist in The Sahara Desert 2006 1 7 2.99 114 22.99 G 2013-05-26 14:50:58.951
562 Masked Bubble A Fanciful Documentary of a Pioneer And a Boat who must Pursue a Pioneer in An Abandoned Mine Shaft 2006 1 6 0.99 151 12.99 PG-13 2013-05-26 14:50:58.951
563 Massacre Usual A Fateful Reflection of a Waitress And a Crocodile who must Challenge a Forensic Psychologist in California 2006 1 6 4.99 165 16.99 R 2013-05-26 14:50:58.951
564 Massage Image A Fateful Drama of a Frisbee And a Crocodile who must Vanquish a Dog in The First Manned Space Station 2006 1 4 2.99 161 11.99 PG 2013-05-26 14:50:58.951
565 Matrix Snowman A Action-Packed Saga of a Womanizer And a Woman who must Overcome a Student in California 2006 1 6 4.99 56 9.99 PG-13 2013-05-26 14:50:58.951
566 Maude Mod A Beautiful Documentary of a Forensic Psychologist And a Cat who must Reach a Astronaut in Nigeria 2006 1 6 0.99 72 20.99 R 2013-05-26 14:50:58.951
568 Memento Zoolander A Touching Epistle of a Squirrel And a Explorer who must Redeem a Pastry Chef in The Sahara Desert 2006 1 4 4.99 77 11.99 NC-17 2013-05-26 14:50:58.951
569 Menagerie Rushmore A Unbelieveable Panorama of a Composer And a Butler who must Overcome a Database Administrator in The First Manned Space Station 2006 1 7 2.99 147 18.99 G 2013-05-26 14:50:58.951
570 Mermaid Insects A Lacklusture Drama of a Waitress And a Husband who must Fight a Husband in California 2006 1 5 4.99 104 20.99 NC-17 2013-05-26 14:50:58.951
571 Metal Armageddon A Thrilling Display of a Lumberjack And a Crocodile who must Meet a Monkey in A Baloon Factory 2006 1 6 2.99 161 26.99 PG-13 2013-05-26 14:50:58.951
572 Metropolis Coma A Emotional Saga of a Database Administrator And a Pastry Chef who must Confront a Teacher in A Baloon Factory 2006 1 4 2.99 64 9.99 PG-13 2013-05-26 14:50:58.951
573 Microcosmos Paradise A Touching Character Study of a Boat And a Student who must Sink a A Shark in Nigeria 2006 1 6 2.99 105 22.99 PG-13 2013-05-26 14:50:58.951
574 Midnight Westward A Taut Reflection of a Husband And a A Shark who must Redeem a Pastry Chef in A Monastery 2006 1 3 0.99 86 19.99 G 2013-05-26 14:50:58.951
575 Midsummer Groundhog A Fateful Panorama of a Moose And a Dog who must Chase a Crocodile in Ancient Japan 2006 1 3 4.99 48 27.99 G 2013-05-26 14:50:58.951
576 Mighty Luck A Astounding Epistle of a Mad Scientist And a Pioneer who must Escape a Database Administrator in A MySQL Convention 2006 1 7 2.99 122 13.99 PG 2013-05-26 14:50:58.951
577 Mile Mulan A Lacklusture Epistle of a Cat And a Husband who must Confront a Boy in A MySQL Convention 2006 1 4 0.99 64 10.99 PG 2013-05-26 14:50:58.951
578 Million Ace A Brilliant Documentary of a Womanizer And a Squirrel who must Find a Technical Writer in The Sahara Desert 2006 1 4 4.99 142 16.99 PG-13 2013-05-26 14:50:58.951
579 Minds Truman A Taut Yarn of a Mad Scientist And a Crocodile who must Outgun a Database Administrator in A Monastery 2006 1 3 4.99 149 22.99 PG-13 2013-05-26 14:50:58.951
580 Mine Titans A Amazing Yarn of a Robot And a Womanizer who must Discover a Forensic Psychologist in Berlin 2006 1 3 4.99 166 12.99 PG-13 2013-05-26 14:50:58.951
581 Minority Kiss A Insightful Display of a Lumberjack And a Sumo Wrestler who must Meet a Man in The Outback 2006 1 4 0.99 59 16.99 G 2013-05-26 14:50:58.951
582 Miracle Virtual A Touching Epistle of a Butler And a Boy who must Find a Mad Scientist in The Sahara Desert 2006 1 3 2.99 162 19.99 PG-13 2013-05-26 14:50:58.951
583 Mission Zoolander A Intrepid Story of a Sumo Wrestler And a Teacher who must Meet a A Shark in An Abandoned Fun House 2006 1 3 4.99 164 26.99 PG-13 2013-05-26 14:50:58.951
584 Mixed Doors A Taut Drama of a Womanizer And a Lumberjack who must Succumb a Pioneer in Ancient India 2006 1 6 2.99 180 26.99 PG-13 2013-05-26 14:50:58.951
585 Mob Duffel A Unbelieveable Documentary of a Frisbee And a Boat who must Meet a Boy in The Canadian Rockies 2006 1 4 0.99 105 25.99 G 2013-05-26 14:50:58.951
586 Mockingbird Hollywood A Thoughtful Panorama of a Man And a Car who must Sink a Composer in Berlin 2006 1 4 0.99 60 27.99 PG 2013-05-26 14:50:58.951
587 Mod Secretary A Boring Documentary of a Mad Cow And a Cat who must Build a Lumberjack in New Orleans 2006 1 6 4.99 77 20.99 NC-17 2013-05-26 14:50:58.951
588 Model Fish A Beautiful Panorama of a Boat And a Crocodile who must Outrace a Dog in Australia 2006 1 4 4.99 175 11.99 NC-17 2013-05-26 14:50:58.951
589 Modern Dorado A Awe-Inspiring Story of a Butler And a Sumo Wrestler who must Redeem a Boy in New Orleans 2006 1 3 0.99 74 20.99 PG 2013-05-26 14:50:58.951
590 Money Harold A Touching Tale of a Explorer And a Boat who must Defeat a Robot in Australia 2006 1 3 2.99 135 17.99 PG 2013-05-26 14:50:58.951
591 Monsoon Cause A Astounding Tale of a Crocodile And a Car who must Outrace a Squirrel in A U-Boat 2006 1 6 4.99 182 20.99 PG 2013-05-26 14:50:58.951
592 Monster Spartacus A Fast-Paced Story of a Waitress And a Cat who must Fight a Girl in Australia 2006 1 6 2.99 107 28.99 PG 2013-05-26 14:50:58.951
593 Monterey Labyrinth A Awe-Inspiring Drama of a Monkey And a Composer who must Escape a Feminist in A U-Boat 2006 1 6 0.99 158 13.99 G 2013-05-26 14:50:58.951
594 Montezuma Command A Thrilling Reflection of a Waitress And a Butler who must Battle a Butler in A Jet Boat 2006 1 6 0.99 126 22.99 NC-17 2013-05-26 14:50:58.951
595 Moon Bunch A Beautiful Tale of a Astronaut And a Mad Cow who must Challenge a Cat in A Baloon Factory 2006 1 7 0.99 83 20.99 PG 2013-05-26 14:50:58.951
596 Moonshine Cabin A Thoughtful Display of a Astronaut And a Feminist who must Chase a Frisbee in A Jet Boat 2006 1 4 4.99 171 25.99 PG-13 2013-05-26 14:50:58.951
597 Moonwalker Fool A Epic Drama of a Feminist And a Pioneer who must Sink a Composer in New Orleans 2006 1 5 4.99 184 12.99 G 2013-05-26 14:50:58.951
598 Mosquito Armageddon A Thoughtful Character Study of a Waitress And a Feminist who must Build a Teacher in Ancient Japan 2006 1 6 0.99 57 22.99 G 2013-05-26 14:50:58.951
599 Mother Oleander A Boring Tale of a Husband And a Boy who must Fight a Squirrel in Ancient China 2006 1 3 0.99 103 20.99 R 2013-05-26 14:50:58.951
600 Motions Details A Awe-Inspiring Reflection of a Dog And a Student who must Kill a Car in An Abandoned Fun House 2006 1 5 0.99 166 16.99 PG 2013-05-26 14:50:58.951
601 Moulin Wake A Astounding Story of a Forensic Psychologist And a Cat who must Battle a Teacher in An Abandoned Mine Shaft 2006 1 4 0.99 79 20.99 PG-13 2013-05-26 14:50:58.951
602 Mourning Purple A Lacklusture Display of a Waitress And a Lumberjack who must Chase a Pioneer in New Orleans 2006 1 5 0.99 146 14.99 PG 2013-05-26 14:50:58.951
736 Robbery Bright A Taut Reflection of a Robot And a Squirrel who must Fight a Boat in Ancient Japan 2006 1 4 0.99 134 21.99 R 2013-05-26 14:50:58.951
603 Movie Shakespeare A Insightful Display of a Database Administrator And a Student who must Build a Hunter in Berlin 2006 1 6 4.99 53 27.99 PG 2013-05-26 14:50:58.951
604 Mulan Moon A Emotional Saga of a Womanizer And a Pioneer who must Overcome a Dentist in A Baloon 2006 1 4 0.99 160 10.99 G 2013-05-26 14:50:58.951
605 Mulholland Beast A Awe-Inspiring Display of a Husband And a Squirrel who must Battle a Sumo Wrestler in A Jet Boat 2006 1 7 2.99 157 13.99 PG 2013-05-26 14:50:58.951
606 Mummy Creatures A Fateful Character Study of a Crocodile And a Monkey who must Meet a Dentist in Australia 2006 1 3 0.99 160 15.99 NC-17 2013-05-26 14:50:58.951
607 Muppet Mile A Lacklusture Story of a Madman And a Teacher who must Kill a Frisbee in The Gulf of Mexico 2006 1 5 4.99 50 18.99 PG 2013-05-26 14:50:58.951
608 Murder Antitrust A Brilliant Yarn of a Car And a Database Administrator who must Escape a Boy in A MySQL Convention 2006 1 6 2.99 166 11.99 PG 2013-05-26 14:50:58.951
609 Muscle Bright A Stunning Panorama of a Sumo Wrestler And a Husband who must Redeem a Madman in Ancient India 2006 1 7 2.99 185 23.99 G 2013-05-26 14:50:58.951
610 Music Boondock A Thrilling Tale of a Butler And a Astronaut who must Battle a Explorer in The First Manned Space Station 2006 1 7 0.99 129 17.99 R 2013-05-26 14:50:58.951
611 Musketeers Wait A Touching Yarn of a Student And a Moose who must Fight a Mad Cow in Australia 2006 1 7 4.99 73 17.99 PG 2013-05-26 14:50:58.951
612 Mussolini Spoilers A Thrilling Display of a Boat And a Monkey who must Meet a Composer in Ancient China 2006 1 6 2.99 180 10.99 G 2013-05-26 14:50:58.951
613 Mystic Truman A Epic Yarn of a Teacher And a Hunter who must Outgun a Explorer in Soviet Georgia 2006 1 5 0.99 92 19.99 NC-17 2013-05-26 14:50:58.951
614 Name Detective A Touching Saga of a Sumo Wrestler And a Cat who must Pursue a Mad Scientist in Nigeria 2006 1 5 4.99 178 11.99 PG-13 2013-05-26 14:50:58.951
615 Nash Chocolat A Epic Reflection of a Monkey And a Mad Cow who must Kill a Forensic Psychologist in An Abandoned Mine Shaft 2006 1 6 2.99 180 21.99 PG-13 2013-05-26 14:50:58.951
616 National Story A Taut Epistle of a Mad Scientist And a Girl who must Escape a Monkey in California 2006 1 4 2.99 92 19.99 NC-17 2013-05-26 14:50:58.951
617 Natural Stock A Fast-Paced Story of a Sumo Wrestler And a Girl who must Defeat a Car in A Baloon Factory 2006 1 4 0.99 50 24.99 PG-13 2013-05-26 14:50:58.951
618 Necklace Outbreak A Astounding Epistle of a Database Administrator And a Mad Scientist who must Pursue a Cat in California 2006 1 3 0.99 132 21.99 PG 2013-05-26 14:50:58.951
619 Neighbors Charade A Fanciful Reflection of a Crocodile And a Astronaut who must Outrace a Feminist in An Abandoned Amusement Park 2006 1 3 0.99 161 20.99 R 2013-05-26 14:50:58.951
620 Nemo Campus A Lacklusture Reflection of a Monkey And a Squirrel who must Outrace a Womanizer in A Manhattan Penthouse 2006 1 5 2.99 131 23.99 NC-17 2013-05-26 14:50:58.951
621 Network Peak A Unbelieveable Reflection of a Butler And a Boat who must Outgun a Mad Scientist in California 2006 1 5 2.99 75 23.99 PG-13 2013-05-26 14:50:58.951
622 Newsies Story A Action-Packed Character Study of a Dog And a Lumberjack who must Outrace a Moose in The Gulf of Mexico 2006 1 4 0.99 159 25.99 G 2013-05-26 14:50:58.951
642 Order Betrayed A Amazing Saga of a Dog And a A Shark who must Challenge a Cat in The Sahara Desert 2006 1 7 2.99 120 13.99 PG-13 2013-05-26 14:50:58.951
623 Newton Labyrinth A Intrepid Character Study of a Moose And a Waitress who must Find a A Shark in Ancient India 2006 1 4 0.99 75 9.99 PG 2013-05-26 14:50:58.951
624 Nightmare Chill A Brilliant Display of a Robot And a Butler who must Fight a Waitress in An Abandoned Mine Shaft 2006 1 3 4.99 149 25.99 PG 2013-05-26 14:50:58.951
625 None Spiking A Boring Reflection of a Secret Agent And a Astronaut who must Face a Composer in A Manhattan Penthouse 2006 1 3 0.99 83 18.99 NC-17 2013-05-26 14:50:58.951
626 Noon Papi A Unbelieveable Character Study of a Mad Scientist And a Astronaut who must Find a Pioneer in A Manhattan Penthouse 2006 1 5 2.99 57 12.99 G 2013-05-26 14:50:58.951
627 North Tequila A Beautiful Character Study of a Mad Cow And a Robot who must Reach a Womanizer in New Orleans 2006 1 4 4.99 67 9.99 NC-17 2013-05-26 14:50:58.951
628 Northwest Polish A Boring Character Study of a Boy And a A Shark who must Outrace a Womanizer in The Outback 2006 1 5 2.99 172 24.99 PG 2013-05-26 14:50:58.951
629 Notorious Reunion A Amazing Epistle of a Woman And a Squirrel who must Fight a Hunter in A Baloon 2006 1 7 0.99 128 9.99 NC-17 2013-05-26 14:50:58.951
630 Notting Speakeasy A Thoughtful Display of a Butler And a Womanizer who must Find a Waitress in The Canadian Rockies 2006 1 7 0.99 48 19.99 PG-13 2013-05-26 14:50:58.951
631 Novocaine Flight A Fanciful Display of a Student And a Teacher who must Outgun a Crocodile in Nigeria 2006 1 4 0.99 64 11.99 G 2013-05-26 14:50:58.951
632 Nuts Ties A Thoughtful Drama of a Explorer And a Womanizer who must Meet a Teacher in California 2006 1 5 4.99 145 10.99 NC-17 2013-05-26 14:50:58.951
633 October Submarine A Taut Epistle of a Monkey And a Boy who must Confront a Husband in A Jet Boat 2006 1 6 4.99 54 10.99 PG-13 2013-05-26 14:50:58.951
634 Odds Boogie A Thrilling Yarn of a Feminist And a Madman who must Battle a Hunter in Berlin 2006 1 6 0.99 48 14.99 NC-17 2013-05-26 14:50:58.951
635 Oklahoma Jumanji A Thoughtful Drama of a Dentist And a Womanizer who must Meet a Husband in The Sahara Desert 2006 1 7 0.99 58 15.99 PG 2013-05-26 14:50:58.951
636 Oleander Clue A Boring Story of a Teacher And a Monkey who must Succumb a Forensic Psychologist in A Jet Boat 2006 1 5 0.99 161 12.99 PG 2013-05-26 14:50:58.951
637 Open African A Lacklusture Drama of a Secret Agent And a Explorer who must Discover a Car in A U-Boat 2006 1 7 4.99 131 16.99 PG 2013-05-26 14:50:58.951
638 Operation Operation A Intrepid Character Study of a Man And a Frisbee who must Overcome a Madman in Ancient China 2006 1 7 2.99 156 23.99 G 2013-05-26 14:50:58.951
639 Opposite Necklace A Fateful Epistle of a Crocodile And a Moose who must Kill a Explorer in Nigeria 2006 1 7 4.99 92 9.99 PG 2013-05-26 14:50:58.951
640 Opus Ice A Fast-Paced Drama of a Hunter And a Boy who must Discover a Feminist in The Sahara Desert 2006 1 5 4.99 102 21.99 R 2013-05-26 14:50:58.951
641 Orange Grapes A Astounding Documentary of a Butler And a Womanizer who must Face a Dog in A U-Boat 2006 1 4 0.99 76 21.99 PG-13 2013-05-26 14:50:58.951
643 Orient Closer A Astounding Epistle of a Technical Writer And a Teacher who must Fight a Squirrel in The Sahara Desert 2006 1 3 2.99 118 22.99 R 2013-05-26 14:50:58.951
644 Oscar Gold A Insightful Tale of a Database Administrator And a Dog who must Face a Madman in Soviet Georgia 2006 1 7 2.99 115 29.99 PG 2013-05-26 14:50:58.951
645 Others Soup A Lacklusture Documentary of a Mad Cow And a Madman who must Sink a Moose in The Gulf of Mexico 2006 1 7 2.99 118 18.99 PG 2013-05-26 14:50:58.951
646 Outbreak Divine A Unbelieveable Yarn of a Database Administrator And a Woman who must Succumb a A Shark in A U-Boat 2006 1 6 0.99 169 12.99 NC-17 2013-05-26 14:50:58.951
647 Outfield Massacre A Thoughtful Drama of a Husband And a Secret Agent who must Pursue a Database Administrator in Ancient India 2006 1 4 0.99 129 18.99 NC-17 2013-05-26 14:50:58.951
648 Outlaw Hanky A Thoughtful Story of a Astronaut And a Composer who must Conquer a Dog in The Sahara Desert 2006 1 7 4.99 148 17.99 PG-13 2013-05-26 14:50:58.951
649 Oz Liaisons A Epic Yarn of a Mad Scientist And a Cat who must Confront a Womanizer in A Baloon Factory 2006 1 4 2.99 85 14.99 R 2013-05-26 14:50:58.951
650 Pacific Amistad A Thrilling Yarn of a Dog And a Moose who must Kill a Pastry Chef in A Manhattan Penthouse 2006 1 3 0.99 144 27.99 G 2013-05-26 14:50:58.951
651 Packer Madigan A Epic Display of a Sumo Wrestler And a Forensic Psychologist who must Build a Woman in An Abandoned Amusement Park 2006 1 3 0.99 84 20.99 PG-13 2013-05-26 14:50:58.951
652 Pajama Jawbreaker A Emotional Drama of a Boy And a Technical Writer who must Redeem a Sumo Wrestler in California 2006 1 3 0.99 126 14.99 R 2013-05-26 14:50:58.951
653 Panic Club A Fanciful Display of a Teacher And a Crocodile who must Succumb a Girl in A Baloon 2006 1 3 4.99 102 15.99 G 2013-05-26 14:50:58.951
654 Panky Submarine A Touching Documentary of a Dentist And a Sumo Wrestler who must Overcome a Boy in The Gulf of Mexico 2006 1 4 4.99 93 19.99 G 2013-05-26 14:50:58.951
655 Panther Reds A Brilliant Panorama of a Moose And a Man who must Reach a Teacher in The Gulf of Mexico 2006 1 5 4.99 109 22.99 NC-17 2013-05-26 14:50:58.951
656 Papi Necklace A Fanciful Display of a Car And a Monkey who must Escape a Squirrel in Ancient Japan 2006 1 3 0.99 128 9.99 PG 2013-05-26 14:50:58.951
657 Paradise Sabrina A Intrepid Yarn of a Car And a Moose who must Outrace a Crocodile in A Manhattan Penthouse 2006 1 5 2.99 48 12.99 PG-13 2013-05-26 14:50:58.951
658 Paris Weekend A Intrepid Story of a Squirrel And a Crocodile who must Defeat a Monkey in The Outback 2006 1 7 2.99 121 19.99 PG-13 2013-05-26 14:50:58.951
659 Park Citizen A Taut Epistle of a Sumo Wrestler And a Girl who must Face a Husband in Ancient Japan 2006 1 3 4.99 109 14.99 PG-13 2013-05-26 14:50:58.951
660 Party Knock A Fateful Display of a Technical Writer And a Butler who must Battle a Sumo Wrestler in An Abandoned Mine Shaft 2006 1 7 2.99 107 11.99 PG 2013-05-26 14:50:58.951
661 Past Suicides A Intrepid Tale of a Madman And a Astronaut who must Challenge a Hunter in A Monastery 2006 1 5 4.99 157 17.99 PG-13 2013-05-26 14:50:58.951
662 Paths Control A Astounding Documentary of a Butler And a Cat who must Find a Frisbee in Ancient China 2006 1 3 4.99 118 9.99 PG 2013-05-26 14:50:58.951
663 Patient Sister A Emotional Epistle of a Squirrel And a Robot who must Confront a Lumberjack in Soviet Georgia 2006 1 7 0.99 99 29.99 NC-17 2013-05-26 14:50:58.951
664 Patriot Roman A Taut Saga of a Robot And a Database Administrator who must Challenge a Astronaut in California 2006 1 6 2.99 65 12.99 PG 2013-05-26 14:50:58.951
665 Patton Interview A Thrilling Documentary of a Composer And a Secret Agent who must Succumb a Cat in Berlin 2006 1 4 2.99 175 22.99 PG 2013-05-26 14:50:58.951
666 Paycheck Wait A Awe-Inspiring Reflection of a Boy And a Man who must Discover a Moose in The Sahara Desert 2006 1 4 4.99 145 27.99 PG-13 2013-05-26 14:50:58.951
667 Peach Innocent A Action-Packed Drama of a Monkey And a Dentist who must Chase a Butler in Berlin 2006 1 3 2.99 160 20.99 PG-13 2013-05-26 14:50:58.951
668 Peak Forever A Insightful Reflection of a Boat And a Secret Agent who must Vanquish a Astronaut in An Abandoned Mine Shaft 2006 1 7 4.99 80 25.99 PG 2013-05-26 14:50:58.951
669 Pearl Destiny A Lacklusture Yarn of a Astronaut And a Pastry Chef who must Sink a Dog in A U-Boat 2006 1 3 2.99 74 10.99 NC-17 2013-05-26 14:50:58.951
670 Pelican Comforts A Epic Documentary of a Boy And a Monkey who must Pursue a Astronaut in Berlin 2006 1 4 4.99 48 17.99 PG 2013-05-26 14:50:58.951
671 Perdition Fargo A Fast-Paced Story of a Car And a Cat who must Outgun a Hunter in Berlin 2006 1 7 4.99 99 27.99 NC-17 2013-05-26 14:50:58.951
672 Perfect Groove A Thrilling Yarn of a Dog And a Dog who must Build a Husband in A Baloon 2006 1 7 2.99 82 17.99 PG-13 2013-05-26 14:50:58.951
673 Personal Ladybugs A Epic Saga of a Hunter And a Technical Writer who must Conquer a Cat in Ancient Japan 2006 1 3 0.99 118 19.99 PG-13 2013-05-26 14:50:58.951
674 Pet Haunting A Unbelieveable Reflection of a Explorer And a Boat who must Conquer a Woman in California 2006 1 3 0.99 99 11.99 PG 2013-05-26 14:50:58.951
675 Phantom Glory A Beautiful Documentary of a Astronaut And a Crocodile who must Discover a Madman in A Monastery 2006 1 6 2.99 60 17.99 NC-17 2013-05-26 14:50:58.951
676 Philadelphia Wife A Taut Yarn of a Hunter And a Astronaut who must Conquer a Database Administrator in The Sahara Desert 2006 1 7 4.99 137 16.99 PG-13 2013-05-26 14:50:58.951
677 Pianist Outfield A Intrepid Story of a Boy And a Technical Writer who must Pursue a Lumberjack in A Monastery 2006 1 6 0.99 136 25.99 NC-17 2013-05-26 14:50:58.951
678 Pickup Driving A Touching Documentary of a Husband And a Boat who must Meet a Pastry Chef in A Baloon Factory 2006 1 3 2.99 77 23.99 G 2013-05-26 14:50:58.951
679 Pilot Hoosiers A Awe-Inspiring Reflection of a Crocodile And a Sumo Wrestler who must Meet a Forensic Psychologist in An Abandoned Mine Shaft 2006 1 6 2.99 50 17.99 PG 2013-05-26 14:50:58.951
680 Pinocchio Simon A Action-Packed Reflection of a Mad Scientist And a A Shark who must Find a Feminist in California 2006 1 4 4.99 103 21.99 PG 2013-05-26 14:50:58.951
681 Pirates Roxanne A Stunning Drama of a Woman And a Lumberjack who must Overcome a A Shark in The Canadian Rockies 2006 1 4 0.99 100 20.99 PG 2013-05-26 14:50:58.951
682 Pittsburgh Hunchback A Thrilling Epistle of a Boy And a Boat who must Find a Student in Soviet Georgia 2006 1 4 4.99 134 17.99 PG-13 2013-05-26 14:50:58.951
683 Pity Bound A Boring Panorama of a Feminist And a Moose who must Defeat a Database Administrator in Nigeria 2006 1 5 4.99 60 19.99 NC-17 2013-05-26 14:50:58.951
684 Pizza Jumanji A Epic Saga of a Cat And a Squirrel who must Outgun a Robot in A U-Boat 2006 1 4 2.99 173 11.99 NC-17 2013-05-26 14:50:58.951
685 Platoon Instinct A Thrilling Panorama of a Man And a Woman who must Reach a Woman in Australia 2006 1 6 4.99 132 10.99 PG-13 2013-05-26 14:50:58.951
686 Pluto Oleander A Action-Packed Reflection of a Car And a Moose who must Outgun a Car in A Shark Tank 2006 1 5 4.99 84 9.99 R 2013-05-26 14:50:58.951
687 Pocus Pulp A Intrepid Yarn of a Frisbee And a Dog who must Build a Astronaut in A Baloon Factory 2006 1 6 0.99 138 15.99 NC-17 2013-05-26 14:50:58.951
688 Polish Brooklyn A Boring Character Study of a Database Administrator And a Lumberjack who must Reach a Madman in The Outback 2006 1 6 0.99 61 12.99 PG 2013-05-26 14:50:58.951
689 Pollock Deliverance A Intrepid Story of a Madman And a Frisbee who must Outgun a Boat in The Sahara Desert 2006 1 5 2.99 137 14.99 PG 2013-05-26 14:50:58.951
690 Pond Seattle A Stunning Drama of a Teacher And a Boat who must Battle a Feminist in Ancient China 2006 1 7 2.99 185 25.99 PG-13 2013-05-26 14:50:58.951
691 Poseidon Forever A Thoughtful Epistle of a Womanizer And a Monkey who must Vanquish a Dentist in A Monastery 2006 1 6 4.99 159 29.99 PG-13 2013-05-26 14:50:58.951
692 Potluck Mixed A Beautiful Story of a Dog And a Technical Writer who must Outgun a Student in A Baloon 2006 1 3 2.99 179 10.99 G 2013-05-26 14:50:58.951
693 Potter Connecticut A Thrilling Epistle of a Frisbee And a Cat who must Fight a Technical Writer in Berlin 2006 1 5 2.99 115 16.99 PG 2013-05-26 14:50:58.951
694 Prejudice Oleander A Epic Saga of a Boy And a Dentist who must Outrace a Madman in A U-Boat 2006 1 6 4.99 98 15.99 PG-13 2013-05-26 14:50:58.951
695 President Bang A Fateful Panorama of a Technical Writer And a Moose who must Battle a Robot in Soviet Georgia 2006 1 6 4.99 144 12.99 PG 2013-05-26 14:50:58.951
696 Pride Alamo A Thoughtful Drama of a A Shark And a Forensic Psychologist who must Vanquish a Student in Ancient India 2006 1 6 0.99 114 20.99 NC-17 2013-05-26 14:50:58.951
697 Primary Glass A Fateful Documentary of a Pastry Chef And a Butler who must Build a Dog in The Canadian Rockies 2006 1 7 0.99 53 16.99 G 2013-05-26 14:50:58.951
698 Princess Giant A Thrilling Yarn of a Pastry Chef And a Monkey who must Battle a Monkey in A Shark Tank 2006 1 3 2.99 71 29.99 NC-17 2013-05-26 14:50:58.951
699 Private Drop A Stunning Story of a Technical Writer And a Hunter who must Succumb a Secret Agent in A Baloon 2006 1 7 4.99 106 26.99 PG 2013-05-26 14:50:58.951
700 Prix Undefeated A Stunning Saga of a Mad Scientist And a Boat who must Overcome a Dentist in Ancient China 2006 1 4 2.99 115 13.99 R 2013-05-26 14:50:58.951
701 Psycho Shrunk A Amazing Panorama of a Crocodile And a Explorer who must Fight a Husband in Nigeria 2006 1 5 2.99 155 11.99 PG-13 2013-05-26 14:50:58.951
702 Pulp Beverly A Unbelieveable Display of a Dog And a Crocodile who must Outrace a Man in Nigeria 2006 1 4 2.99 89 12.99 G 2013-05-26 14:50:58.951
703 Punk Divorce A Fast-Paced Tale of a Pastry Chef And a Boat who must Face a Frisbee in The Canadian Rockies 2006 1 6 4.99 100 18.99 PG 2013-05-26 14:50:58.951
704 Pure Runner A Thoughtful Documentary of a Student And a Madman who must Challenge a Squirrel in A Manhattan Penthouse 2006 1 3 2.99 121 25.99 NC-17 2013-05-26 14:50:58.951
705 Purple Movie A Boring Display of a Pastry Chef And a Sumo Wrestler who must Discover a Frisbee in An Abandoned Amusement Park 2006 1 4 2.99 88 9.99 R 2013-05-26 14:50:58.951
706 Queen Luke A Astounding Story of a Girl And a Boy who must Challenge a Composer in New Orleans 2006 1 5 4.99 163 22.99 PG 2013-05-26 14:50:58.951
707 Quest Mussolini A Fateful Drama of a Husband And a Sumo Wrestler who must Battle a Pastry Chef in A Baloon Factory 2006 1 5 2.99 177 29.99 R 2013-05-26 14:50:58.951
708 Quills Bull A Thoughtful Story of a Pioneer And a Woman who must Reach a Moose in Australia 2006 1 4 4.99 112 19.99 R 2013-05-26 14:50:58.951
709 Racer Egg A Emotional Display of a Monkey And a Waitress who must Reach a Secret Agent in California 2006 1 7 2.99 147 19.99 NC-17 2013-05-26 14:50:58.951
710 Rage Games A Fast-Paced Saga of a Astronaut And a Secret Agent who must Escape a Hunter in An Abandoned Amusement Park 2006 1 4 4.99 120 18.99 R 2013-05-26 14:50:58.951
711 Raging Airplane A Astounding Display of a Secret Agent And a Technical Writer who must Escape a Mad Scientist in A Jet Boat 2006 1 4 4.99 154 18.99 R 2013-05-26 14:50:58.951
712 Raiders Antitrust A Amazing Drama of a Teacher And a Feminist who must Meet a Woman in The First Manned Space Station 2006 1 4 0.99 82 11.99 PG-13 2013-05-26 14:50:58.951
713 Rainbow Shock A Action-Packed Story of a Hunter And a Boy who must Discover a Lumberjack in Ancient India 2006 1 3 4.99 74 14.99 PG 2013-05-26 14:50:58.951
714 Random Go A Fateful Drama of a Frisbee And a Student who must Confront a Cat in A Shark Tank 2006 1 6 2.99 73 29.99 NC-17 2013-05-26 14:50:58.951
715 Range Moonwalker A Insightful Documentary of a Hunter And a Dentist who must Confront a Crocodile in A Baloon 2006 1 3 4.99 147 25.99 PG 2013-05-26 14:50:58.951
716 Reap Unfaithful A Thrilling Epistle of a Composer And a Sumo Wrestler who must Challenge a Mad Cow in A MySQL Convention 2006 1 6 2.99 136 26.99 PG-13 2013-05-26 14:50:58.951
717 Rear Trading A Awe-Inspiring Reflection of a Forensic Psychologist And a Secret Agent who must Succumb a Pastry Chef in Soviet Georgia 2006 1 6 0.99 97 23.99 NC-17 2013-05-26 14:50:58.951
718 Rebel Airport A Intrepid Yarn of a Database Administrator And a Boat who must Outrace a Husband in Ancient India 2006 1 7 0.99 73 24.99 G 2013-05-26 14:50:58.951
719 Records Zorro A Amazing Drama of a Mad Scientist And a Composer who must Build a Husband in The Outback 2006 1 7 4.99 182 11.99 PG 2013-05-26 14:50:58.951
720 Redemption Comforts A Emotional Documentary of a Dentist And a Woman who must Battle a Mad Scientist in Ancient China 2006 1 3 2.99 179 20.99 NC-17 2013-05-26 14:50:58.951
721 Reds Pocus A Lacklusture Yarn of a Sumo Wrestler And a Squirrel who must Redeem a Monkey in Soviet Georgia 2006 1 7 4.99 182 23.99 PG-13 2013-05-26 14:50:58.951
722 Reef Salute A Action-Packed Saga of a Teacher And a Lumberjack who must Battle a Dentist in A Baloon 2006 1 5 0.99 123 26.99 NC-17 2013-05-26 14:50:58.951
723 Reign Gentlemen A Emotional Yarn of a Composer And a Man who must Escape a Butler in The Gulf of Mexico 2006 1 3 2.99 82 29.99 PG-13 2013-05-26 14:50:58.951
724 Remember Diary A Insightful Tale of a Technical Writer And a Waitress who must Conquer a Monkey in Ancient India 2006 1 5 2.99 110 15.99 R 2013-05-26 14:50:58.951
725 Requiem Tycoon A Unbelieveable Character Study of a Cat And a Database Administrator who must Pursue a Teacher in A Monastery 2006 1 6 4.99 167 25.99 R 2013-05-26 14:50:58.951
726 Reservoir Adaptation A Intrepid Drama of a Teacher And a Moose who must Kill a Car in California 2006 1 7 2.99 61 29.99 PG-13 2013-05-26 14:50:58.951
727 Resurrection Silverado A Epic Yarn of a Robot And a Explorer who must Challenge a Girl in A MySQL Convention 2006 1 6 0.99 117 12.99 PG 2013-05-26 14:50:58.951
728 Reunion Witches A Unbelieveable Documentary of a Database Administrator And a Frisbee who must Redeem a Mad Scientist in A Baloon Factory 2006 1 3 0.99 63 26.99 R 2013-05-26 14:50:58.951
729 Rider Caddyshack A Taut Reflection of a Monkey And a Womanizer who must Chase a Moose in Nigeria 2006 1 5 2.99 177 28.99 PG 2013-05-26 14:50:58.951
730 Ridgemont Submarine A Unbelieveable Drama of a Waitress And a Composer who must Sink a Mad Cow in Ancient Japan 2006 1 3 0.99 46 28.99 PG-13 2013-05-26 14:50:58.951
731 Right Cranes A Fateful Character Study of a Boat And a Cat who must Find a Database Administrator in A Jet Boat 2006 1 7 4.99 153 29.99 PG-13 2013-05-26 14:50:58.951
732 Rings Heartbreakers A Amazing Yarn of a Sumo Wrestler And a Boat who must Conquer a Waitress in New Orleans 2006 1 5 0.99 58 17.99 G 2013-05-26 14:50:58.951
733 River Outlaw A Thrilling Character Study of a Squirrel And a Lumberjack who must Face a Hunter in A MySQL Convention 2006 1 4 0.99 149 29.99 PG-13 2013-05-26 14:50:58.951
734 Road Roxanne A Boring Character Study of a Waitress And a Astronaut who must Fight a Crocodile in Ancient Japan 2006 1 4 4.99 158 12.99 R 2013-05-26 14:50:58.951
735 Robbers Joon A Thoughtful Story of a Mad Scientist And a Waitress who must Confront a Forensic Psychologist in Soviet Georgia 2006 1 7 2.99 102 26.99 PG-13 2013-05-26 14:50:58.951
737 Rock Instinct A Astounding Character Study of a Robot And a Moose who must Overcome a Astronaut in Ancient India 2006 1 4 0.99 102 28.99 G 2013-05-26 14:50:58.951
738 Rocketeer Mother A Awe-Inspiring Character Study of a Robot And a Sumo Wrestler who must Discover a Womanizer in A Shark Tank 2006 1 3 0.99 178 27.99 PG-13 2013-05-26 14:50:58.951
927 Uprising Uptown A Fanciful Reflection of a Boy And a Butler who must Pursue a Woman in Berlin 2006 1 6 2.99 174 16.99 NC-17 2013-05-26 14:50:58.951
739 Rocky War A Fast-Paced Display of a Squirrel And a Explorer who must Outgun a Mad Scientist in Nigeria 2006 1 4 4.99 145 17.99 PG-13 2013-05-26 14:50:58.951
740 Rollercoaster Bringing A Beautiful Drama of a Robot And a Lumberjack who must Discover a Technical Writer in A Shark Tank 2006 1 5 2.99 153 13.99 PG-13 2013-05-26 14:50:58.951
741 Roman Punk A Thoughtful Panorama of a Mad Cow And a Student who must Battle a Forensic Psychologist in Berlin 2006 1 7 0.99 81 28.99 NC-17 2013-05-26 14:50:58.951
742 Roof Champion A Lacklusture Reflection of a Car And a Explorer who must Find a Monkey in A Baloon 2006 1 7 0.99 101 25.99 R 2013-05-26 14:50:58.951
743 Room Roman A Awe-Inspiring Panorama of a Composer And a Secret Agent who must Sink a Composer in A Shark Tank 2006 1 7 0.99 60 27.99 PG 2013-05-26 14:50:58.951
744 Roots Remember A Brilliant Drama of a Mad Cow And a Hunter who must Escape a Hunter in Berlin 2006 1 4 0.99 89 23.99 PG-13 2013-05-26 14:50:58.951
745 Roses Treasure A Astounding Panorama of a Monkey And a Secret Agent who must Defeat a Woman in The First Manned Space Station 2006 1 5 4.99 162 23.99 PG-13 2013-05-26 14:50:58.951
746 Rouge Squad A Awe-Inspiring Drama of a Astronaut And a Frisbee who must Conquer a Mad Scientist in Australia 2006 1 3 0.99 118 10.99 NC-17 2013-05-26 14:50:58.951
747 Roxanne Rebel A Astounding Story of a Pastry Chef And a Database Administrator who must Fight a Man in The Outback 2006 1 5 0.99 171 9.99 R 2013-05-26 14:50:58.951
748 Rugrats Shakespeare A Touching Saga of a Crocodile And a Crocodile who must Discover a Technical Writer in Nigeria 2006 1 4 0.99 109 16.99 PG-13 2013-05-26 14:50:58.951
749 Rules Human A Beautiful Epistle of a Astronaut And a Student who must Confront a Monkey in An Abandoned Fun House 2006 1 6 4.99 153 19.99 R 2013-05-26 14:50:58.951
750 Run Pacific A Touching Tale of a Cat And a Pastry Chef who must Conquer a Pastry Chef in A MySQL Convention 2006 1 3 0.99 145 25.99 R 2013-05-26 14:50:58.951
751 Runaway Tenenbaums A Thoughtful Documentary of a Boat And a Man who must Meet a Boat in An Abandoned Fun House 2006 1 6 0.99 181 17.99 NC-17 2013-05-26 14:50:58.951
752 Runner Madigan A Thoughtful Documentary of a Crocodile And a Robot who must Outrace a Womanizer in The Outback 2006 1 6 0.99 101 27.99 NC-17 2013-05-26 14:50:58.951
754 Rushmore Mermaid A Boring Story of a Woman And a Moose who must Reach a Husband in A Shark Tank 2006 1 6 2.99 150 17.99 PG-13 2013-05-26 14:50:58.951
755 Sabrina Midnight A Emotional Story of a Squirrel And a Crocodile who must Succumb a Husband in The Sahara Desert 2006 1 5 4.99 99 11.99 PG 2013-05-26 14:50:58.951
756 Saddle Antitrust A Stunning Epistle of a Feminist And a A Shark who must Battle a Woman in An Abandoned Fun House 2006 1 7 2.99 80 10.99 PG-13 2013-05-26 14:50:58.951
757 Sagebrush Clueless A Insightful Story of a Lumberjack And a Hunter who must Kill a Boy in Ancient Japan 2006 1 4 2.99 106 28.99 G 2013-05-26 14:50:58.951
758 Saints Bride A Fateful Tale of a Technical Writer And a Composer who must Pursue a Explorer in The Gulf of Mexico 2006 1 5 2.99 125 11.99 G 2013-05-26 14:50:58.951
759 Salute Apollo A Awe-Inspiring Character Study of a Boy And a Feminist who must Sink a Crocodile in Ancient China 2006 1 4 2.99 73 29.99 R 2013-05-26 14:50:58.951
760 Samurai Lion A Fast-Paced Story of a Pioneer And a Astronaut who must Reach a Boat in A Baloon 2006 1 5 2.99 110 21.99 G 2013-05-26 14:50:58.951
761 Santa Paris A Emotional Documentary of a Moose And a Car who must Redeem a Mad Cow in A Baloon Factory 2006 1 7 2.99 154 23.99 PG 2013-05-26 14:50:58.951
762 Sassy Packer A Fast-Paced Documentary of a Dog And a Teacher who must Find a Moose in A Manhattan Penthouse 2006 1 6 0.99 154 29.99 G 2013-05-26 14:50:58.951
763 Satisfaction Confidential A Lacklusture Yarn of a Dentist And a Butler who must Meet a Secret Agent in Ancient China 2006 1 3 4.99 75 26.99 G 2013-05-26 14:50:58.951
764 Saturday Lambs A Thoughtful Reflection of a Mad Scientist And a Moose who must Kill a Husband in A Baloon 2006 1 3 4.99 150 28.99 G 2013-05-26 14:50:58.951
765 Saturn Name A Fateful Epistle of a Butler And a Boy who must Redeem a Teacher in Berlin 2006 1 7 4.99 182 18.99 R 2013-05-26 14:50:58.951
766 Savannah Town A Awe-Inspiring Tale of a Astronaut And a Database Administrator who must Chase a Secret Agent in The Gulf of Mexico 2006 1 5 0.99 84 25.99 PG-13 2013-05-26 14:50:58.951
767 Scalawag Duck A Fateful Reflection of a Car And a Teacher who must Confront a Waitress in A Monastery 2006 1 6 4.99 183 13.99 NC-17 2013-05-26 14:50:58.951
768 Scarface Bang A Emotional Yarn of a Teacher And a Girl who must Find a Teacher in A Baloon Factory 2006 1 3 4.99 102 11.99 PG-13 2013-05-26 14:50:58.951
769 School Jacket A Intrepid Yarn of a Monkey And a Boy who must Fight a Composer in A Manhattan Penthouse 2006 1 5 4.99 151 21.99 PG-13 2013-05-26 14:50:58.951
770 Scissorhands Slums A Awe-Inspiring Drama of a Girl And a Technical Writer who must Meet a Feminist in The Canadian Rockies 2006 1 5 2.99 147 13.99 G 2013-05-26 14:50:58.951
788 Ship Wonderland A Thrilling Saga of a Monkey And a Frisbee who must Escape a Explorer in The Outback 2006 1 5 2.99 104 15.99 R 2013-05-26 14:50:58.951
771 Scorpion Apollo A Awe-Inspiring Documentary of a Technical Writer And a Husband who must Meet a Monkey in An Abandoned Fun House 2006 1 3 4.99 137 23.99 NC-17 2013-05-26 14:50:58.951
772 Sea Virgin A Fast-Paced Documentary of a Technical Writer And a Pastry Chef who must Escape a Moose in A U-Boat 2006 1 4 2.99 80 24.99 PG 2013-05-26 14:50:58.951
773 Seabiscuit Punk A Insightful Saga of a Man And a Forensic Psychologist who must Discover a Mad Cow in A MySQL Convention 2006 1 6 2.99 112 28.99 NC-17 2013-05-26 14:50:58.951
774 Searchers Wait A Fast-Paced Tale of a Car And a Mad Scientist who must Kill a Womanizer in Ancient Japan 2006 1 3 2.99 182 22.99 NC-17 2013-05-26 14:50:58.951
775 Seattle Expecations A Insightful Reflection of a Crocodile And a Sumo Wrestler who must Meet a Technical Writer in The Sahara Desert 2006 1 4 4.99 110 18.99 PG-13 2013-05-26 14:50:58.951
776 Secret Groundhog A Astounding Story of a Cat And a Database Administrator who must Build a Technical Writer in New Orleans 2006 1 6 4.99 90 11.99 PG 2013-05-26 14:50:58.951
777 Secretary Rouge A Action-Packed Panorama of a Mad Cow And a Composer who must Discover a Robot in A Baloon Factory 2006 1 5 4.99 158 10.99 PG 2013-05-26 14:50:58.951
778 Secrets Paradise A Fateful Saga of a Cat And a Frisbee who must Kill a Girl in A Manhattan Penthouse 2006 1 3 4.99 109 24.99 G 2013-05-26 14:50:58.951
779 Sense Greek A Taut Saga of a Lumberjack And a Pastry Chef who must Escape a Sumo Wrestler in An Abandoned Fun House 2006 1 4 4.99 54 23.99 R 2013-05-26 14:50:58.951
780 Sensibility Rear A Emotional Tale of a Robot And a Sumo Wrestler who must Redeem a Pastry Chef in A Baloon Factory 2006 1 7 4.99 98 15.99 PG 2013-05-26 14:50:58.951
781 Seven Swarm A Unbelieveable Character Study of a Dog And a Mad Cow who must Kill a Monkey in Berlin 2006 1 4 4.99 127 15.99 R 2013-05-26 14:50:58.951
782 Shakespeare Saddle A Fast-Paced Panorama of a Lumberjack And a Database Administrator who must Defeat a Madman in A MySQL Convention 2006 1 6 2.99 60 26.99 PG-13 2013-05-26 14:50:58.951
783 Shane Darkness A Action-Packed Saga of a Moose And a Lumberjack who must Find a Woman in Berlin 2006 1 5 2.99 93 22.99 PG 2013-05-26 14:50:58.951
784 Shanghai Tycoon A Fast-Paced Character Study of a Crocodile And a Lumberjack who must Build a Husband in An Abandoned Fun House 2006 1 7 2.99 47 20.99 PG 2013-05-26 14:50:58.951
785 Shawshank Bubble A Lacklusture Story of a Moose And a Monkey who must Confront a Butler in An Abandoned Amusement Park 2006 1 6 4.99 80 20.99 PG 2013-05-26 14:50:58.951
786 Shepherd Midsummer A Thoughtful Drama of a Robot And a Womanizer who must Kill a Lumberjack in A Baloon 2006 1 7 0.99 113 14.99 R 2013-05-26 14:50:58.951
787 Shining Roses A Awe-Inspiring Character Study of a Astronaut And a Forensic Psychologist who must Challenge a Madman in Ancient India 2006 1 4 0.99 125 12.99 G 2013-05-26 14:50:58.951
789 Shock Cabin A Fateful Tale of a Mad Cow And a Crocodile who must Meet a Husband in New Orleans 2006 1 7 2.99 79 15.99 PG-13 2013-05-26 14:50:58.951
790 Shootist Superfly A Fast-Paced Story of a Crocodile And a A Shark who must Sink a Pioneer in Berlin 2006 1 6 0.99 67 22.99 PG-13 2013-05-26 14:50:58.951
791 Show Lord A Fanciful Saga of a Student And a Girl who must Find a Butler in Ancient Japan 2006 1 3 4.99 167 24.99 PG-13 2013-05-26 14:50:58.951
792 Shrek License A Fateful Yarn of a Secret Agent And a Feminist who must Find a Feminist in A Jet Boat 2006 1 7 2.99 154 15.99 PG-13 2013-05-26 14:50:58.951
793 Shrunk Divine A Fateful Character Study of a Waitress And a Technical Writer who must Battle a Hunter in A Baloon 2006 1 6 2.99 139 14.99 R 2013-05-26 14:50:58.951
794 Side Ark A Stunning Panorama of a Crocodile And a Womanizer who must Meet a Feminist in The Canadian Rockies 2006 1 5 0.99 52 28.99 G 2013-05-26 14:50:58.951
795 Siege Madre A Boring Tale of a Frisbee And a Crocodile who must Vanquish a Moose in An Abandoned Mine Shaft 2006 1 7 0.99 111 23.99 R 2013-05-26 14:50:58.951
796 Sierra Divide A Emotional Character Study of a Frisbee And a Mad Scientist who must Build a Madman in California 2006 1 3 0.99 135 12.99 NC-17 2013-05-26 14:50:58.951
797 Silence Kane A Emotional Drama of a Sumo Wrestler And a Dentist who must Confront a Sumo Wrestler in A Baloon 2006 1 7 0.99 67 23.99 R 2013-05-26 14:50:58.951
798 Silverado Goldfinger A Stunning Epistle of a Sumo Wrestler And a Man who must Challenge a Waitress in Ancient India 2006 1 4 4.99 74 11.99 PG 2013-05-26 14:50:58.951
799 Simon North A Thrilling Documentary of a Technical Writer And a A Shark who must Face a Pioneer in A Shark Tank 2006 1 3 0.99 51 26.99 NC-17 2013-05-26 14:50:58.951
800 Sinners Atlantis A Epic Display of a Dog And a Boat who must Succumb a Mad Scientist in An Abandoned Mine Shaft 2006 1 7 2.99 126 19.99 PG-13 2013-05-26 14:50:58.951
801 Sister Freddy A Stunning Saga of a Butler And a Woman who must Pursue a Explorer in Australia 2006 1 5 4.99 152 19.99 PG-13 2013-05-26 14:50:58.951
802 Sky Miracle A Epic Drama of a Mad Scientist And a Explorer who must Succumb a Waitress in An Abandoned Fun House 2006 1 7 2.99 132 15.99 PG 2013-05-26 14:50:58.951
803 Slacker Liaisons A Fast-Paced Tale of a A Shark And a Student who must Meet a Crocodile in Ancient China 2006 1 7 4.99 179 29.99 R 2013-05-26 14:50:58.951
804 Sleeping Suspects A Stunning Reflection of a Sumo Wrestler And a Explorer who must Sink a Frisbee in A MySQL Convention 2006 1 7 4.99 129 13.99 PG-13 2013-05-26 14:50:58.951
805 Sleepless Monsoon A Amazing Saga of a Moose And a Pastry Chef who must Escape a Butler in Australia 2006 1 5 4.99 64 12.99 G 2013-05-26 14:50:58.951
806 Sleepy Japanese A Emotional Epistle of a Moose And a Composer who must Fight a Technical Writer in The Outback 2006 1 4 2.99 137 25.99 PG 2013-05-26 14:50:58.951
807 Sleuth Orient A Fateful Character Study of a Husband And a Dog who must Find a Feminist in Ancient India 2006 1 4 0.99 87 25.99 NC-17 2013-05-26 14:50:58.951
808 Sling Luke A Intrepid Character Study of a Robot And a Monkey who must Reach a Secret Agent in An Abandoned Amusement Park 2006 1 5 0.99 84 10.99 R 2013-05-26 14:50:58.951
809 Slipper Fidelity A Taut Reflection of a Secret Agent And a Man who must Redeem a Explorer in A MySQL Convention 2006 1 5 0.99 156 14.99 PG-13 2013-05-26 14:50:58.951
810 Slums Duck A Amazing Character Study of a Teacher And a Database Administrator who must Defeat a Waitress in A Jet Boat 2006 1 5 0.99 147 21.99 PG 2013-05-26 14:50:58.951
811 Smile Earring A Intrepid Drama of a Teacher And a Butler who must Build a Pastry Chef in Berlin 2006 1 4 2.99 60 29.99 G 2013-05-26 14:50:58.951
812 Smoking Barbarella A Lacklusture Saga of a Mad Cow And a Mad Scientist who must Sink a Cat in A MySQL Convention 2006 1 7 0.99 50 13.99 PG-13 2013-05-26 14:50:58.951
813 Smoochy Control A Thrilling Documentary of a Husband And a Feminist who must Face a Mad Scientist in Ancient China 2006 1 7 0.99 184 18.99 R 2013-05-26 14:50:58.951
814 Snatch Slipper A Insightful Panorama of a Woman And a Feminist who must Defeat a Forensic Psychologist in Berlin 2006 1 6 4.99 110 15.99 PG 2013-05-26 14:50:58.951
815 Snatchers Montezuma A Boring Epistle of a Sumo Wrestler And a Woman who must Escape a Man in The Canadian Rockies 2006 1 4 2.99 74 14.99 PG-13 2013-05-26 14:50:58.951
816 Snowman Rollercoaster A Fateful Display of a Lumberjack And a Girl who must Succumb a Mad Cow in A Manhattan Penthouse 2006 1 3 0.99 62 27.99 G 2013-05-26 14:50:58.951
817 Soldiers Evolution A Lacklusture Panorama of a A Shark And a Pioneer who must Confront a Student in The First Manned Space Station 2006 1 7 4.99 185 27.99 R 2013-05-26 14:50:58.951
818 Something Duck A Boring Character Study of a Car And a Husband who must Outgun a Frisbee in The First Manned Space Station 2006 1 4 4.99 180 17.99 NC-17 2013-05-26 14:50:58.951
819 Song Hedwig A Amazing Documentary of a Man And a Husband who must Confront a Squirrel in A MySQL Convention 2006 1 3 0.99 165 29.99 PG-13 2013-05-26 14:50:58.951
820 Sons Interview A Taut Character Study of a Explorer And a Mad Cow who must Battle a Hunter in Ancient China 2006 1 3 2.99 184 11.99 NC-17 2013-05-26 14:50:58.951
821 Sorority Queen A Fast-Paced Display of a Squirrel And a Composer who must Fight a Forensic Psychologist in A Jet Boat 2006 1 6 0.99 184 17.99 NC-17 2013-05-26 14:50:58.951
822 Soup Wisdom A Fast-Paced Display of a Robot And a Butler who must Defeat a Butler in A MySQL Convention 2006 1 6 0.99 169 12.99 R 2013-05-26 14:50:58.951
823 South Wait A Amazing Documentary of a Car And a Robot who must Escape a Lumberjack in An Abandoned Amusement Park 2006 1 4 2.99 143 21.99 R 2013-05-26 14:50:58.951
824 Spartacus Cheaper A Thrilling Panorama of a Pastry Chef And a Secret Agent who must Overcome a Student in A Manhattan Penthouse 2006 1 4 4.99 52 19.99 NC-17 2013-05-26 14:50:58.951
825 Speakeasy Date A Lacklusture Drama of a Forensic Psychologist And a Car who must Redeem a Man in A Manhattan Penthouse 2006 1 6 2.99 165 22.99 PG-13 2013-05-26 14:50:58.951
826 Speed Suit A Brilliant Display of a Frisbee And a Mad Scientist who must Succumb a Robot in Ancient China 2006 1 7 4.99 124 19.99 PG-13 2013-05-26 14:50:58.951
827 Spice Sorority A Fateful Display of a Pioneer And a Hunter who must Defeat a Husband in An Abandoned Mine Shaft 2006 1 5 4.99 141 22.99 NC-17 2013-05-26 14:50:58.951
828 Spiking Element A Lacklusture Epistle of a Dentist And a Technical Writer who must Find a Dog in A Monastery 2006 1 7 2.99 79 12.99 G 2013-05-26 14:50:58.951
829 Spinal Rocky A Lacklusture Epistle of a Sumo Wrestler And a Squirrel who must Defeat a Explorer in California 2006 1 7 2.99 138 12.99 PG-13 2013-05-26 14:50:58.951
830 Spirit Flintstones A Brilliant Yarn of a Cat And a Car who must Confront a Explorer in Ancient Japan 2006 1 7 0.99 149 23.99 R 2013-05-26 14:50:58.951
831 Spirited Casualties A Taut Story of a Waitress And a Man who must Face a Car in A Baloon Factory 2006 1 5 0.99 138 20.99 PG-13 2013-05-26 14:50:58.951
832 Splash Gump A Taut Saga of a Crocodile And a Boat who must Conquer a Hunter in A Shark Tank 2006 1 5 0.99 175 16.99 PG 2013-05-26 14:50:58.951
833 Splendor Patton A Taut Story of a Dog And a Explorer who must Find a Astronaut in Berlin 2006 1 5 0.99 134 20.99 R 2013-05-26 14:50:58.951
834 Spoilers Hellfighters A Fanciful Story of a Technical Writer And a Squirrel who must Defeat a Dog in The Gulf of Mexico 2006 1 4 0.99 151 26.99 G 2013-05-26 14:50:58.951
835 Spy Mile A Thrilling Documentary of a Feminist And a Feminist who must Confront a Feminist in A Baloon 2006 1 6 2.99 112 13.99 PG-13 2013-05-26 14:50:58.951
836 Squad Fish A Fast-Paced Display of a Pastry Chef And a Dog who must Kill a Teacher in Berlin 2006 1 3 2.99 136 14.99 PG 2013-05-26 14:50:58.951
837 Stage World A Lacklusture Panorama of a Woman And a Frisbee who must Chase a Crocodile in A Jet Boat 2006 1 4 2.99 85 19.99 PG 2013-05-26 14:50:58.951
838 Stagecoach Armageddon A Touching Display of a Pioneer And a Butler who must Chase a Car in California 2006 1 5 4.99 112 25.99 R 2013-05-26 14:50:58.951
839 Stallion Sundance A Fast-Paced Tale of a Car And a Dog who must Outgun a A Shark in Australia 2006 1 5 0.99 130 23.99 PG-13 2013-05-26 14:50:58.951
840 Stampede Disturbing A Unbelieveable Tale of a Woman And a Lumberjack who must Fight a Frisbee in A U-Boat 2006 1 5 0.99 75 26.99 R 2013-05-26 14:50:58.951
841 Star Operation A Insightful Character Study of a Girl And a Car who must Pursue a Mad Cow in A Shark Tank 2006 1 5 2.99 181 9.99 PG 2013-05-26 14:50:58.951
842 State Wasteland A Beautiful Display of a Cat And a Pastry Chef who must Outrace a Mad Cow in A Jet Boat 2006 1 4 2.99 113 13.99 NC-17 2013-05-26 14:50:58.951
843 Steel Santa A Fast-Paced Yarn of a Composer And a Frisbee who must Face a Moose in Nigeria 2006 1 4 4.99 143 15.99 NC-17 2013-05-26 14:50:58.951
844 Steers Armageddon A Stunning Character Study of a Car And a Girl who must Succumb a Car in A MySQL Convention 2006 1 6 4.99 140 16.99 PG 2013-05-26 14:50:58.951
845 Stepmom Dream A Touching Epistle of a Crocodile And a Teacher who must Build a Forensic Psychologist in A MySQL Convention 2006 1 7 4.99 48 9.99 NC-17 2013-05-26 14:50:58.951
846 Sting Personal A Fanciful Drama of a Frisbee And a Dog who must Fight a Madman in A Jet Boat 2006 1 3 4.99 93 9.99 NC-17 2013-05-26 14:50:58.951
847 Stock Glass A Boring Epistle of a Crocodile And a Lumberjack who must Outgun a Moose in Ancient China 2006 1 7 2.99 160 10.99 PG 2013-05-26 14:50:58.951
848 Stone Fire A Intrepid Drama of a Astronaut And a Crocodile who must Find a Boat in Soviet Georgia 2006 1 3 0.99 94 19.99 G 2013-05-26 14:50:58.951
849 Storm Happiness A Insightful Drama of a Feminist And a A Shark who must Vanquish a Boat in A Shark Tank 2006 1 6 0.99 57 28.99 NC-17 2013-05-26 14:50:58.951
850 Story Side A Lacklusture Saga of a Boy And a Cat who must Sink a Dentist in An Abandoned Mine Shaft 2006 1 7 0.99 163 27.99 R 2013-05-26 14:50:58.951
851 Straight Hours A Boring Panorama of a Secret Agent And a Girl who must Sink a Waitress in The Outback 2006 1 3 0.99 151 19.99 R 2013-05-26 14:50:58.951
852 Strangelove Desire A Awe-Inspiring Panorama of a Lumberjack And a Waitress who must Defeat a Crocodile in An Abandoned Amusement Park 2006 1 4 0.99 103 27.99 NC-17 2013-05-26 14:50:58.951
853 Stranger Strangers A Awe-Inspiring Yarn of a Womanizer And a Explorer who must Fight a Woman in The First Manned Space Station 2006 1 3 4.99 139 12.99 G 2013-05-26 14:50:58.951
890 Tights Dawn A Thrilling Epistle of a Boat And a Secret Agent who must Face a Boy in A Baloon 2006 1 5 0.99 172 14.99 R 2013-05-26 14:50:58.951
854 Strangers Graffiti A Brilliant Character Study of a Secret Agent And a Man who must Find a Cat in The Gulf of Mexico 2006 1 4 4.99 119 22.99 R 2013-05-26 14:50:58.951
855 Streak Ridgemont A Astounding Character Study of a Hunter And a Waitress who must Sink a Man in New Orleans 2006 1 7 0.99 132 28.99 PG-13 2013-05-26 14:50:58.951
856 Streetcar Intentions A Insightful Character Study of a Waitress And a Crocodile who must Sink a Waitress in The Gulf of Mexico 2006 1 5 4.99 73 11.99 R 2013-05-26 14:50:58.951
857 Strictly Scarface A Touching Reflection of a Crocodile And a Dog who must Chase a Hunter in An Abandoned Fun House 2006 1 3 2.99 144 24.99 PG-13 2013-05-26 14:50:58.951
858 Submarine Bed A Amazing Display of a Car And a Monkey who must Fight a Teacher in Soviet Georgia 2006 1 5 4.99 127 21.99 R 2013-05-26 14:50:58.951
859 Sugar Wonka A Touching Story of a Dentist And a Database Administrator who must Conquer a Astronaut in An Abandoned Amusement Park 2006 1 3 4.99 114 20.99 PG 2013-05-26 14:50:58.951
860 Suicides Silence A Emotional Character Study of a Car And a Girl who must Face a Composer in A U-Boat 2006 1 4 4.99 93 13.99 G 2013-05-26 14:50:58.951
861 Suit Walls A Touching Panorama of a Lumberjack And a Frisbee who must Build a Dog in Australia 2006 1 3 4.99 111 12.99 R 2013-05-26 14:50:58.951
862 Summer Scarface A Emotional Panorama of a Lumberjack And a Hunter who must Meet a Girl in A Shark Tank 2006 1 5 0.99 53 25.99 G 2013-05-26 14:50:58.951
863 Sun Confessions A Beautiful Display of a Mad Cow And a Dog who must Redeem a Waitress in An Abandoned Amusement Park 2006 1 5 0.99 141 9.99 R 2013-05-26 14:50:58.951
864 Sundance Invasion A Epic Drama of a Lumberjack And a Explorer who must Confront a Hunter in A Baloon Factory 2006 1 5 0.99 92 21.99 NC-17 2013-05-26 14:50:58.951
865 Sunrise League A Beautiful Epistle of a Madman And a Butler who must Face a Crocodile in A Manhattan Penthouse 2006 1 3 4.99 135 19.99 PG-13 2013-05-26 14:50:58.951
866 Sunset Racer A Awe-Inspiring Reflection of a Astronaut And a A Shark who must Defeat a Forensic Psychologist in California 2006 1 6 0.99 48 28.99 NC-17 2013-05-26 14:50:58.951
867 Super Wyoming A Action-Packed Saga of a Pastry Chef And a Explorer who must Discover a A Shark in The Outback 2006 1 5 4.99 58 10.99 PG 2013-05-26 14:50:58.951
868 Superfly Trip A Beautiful Saga of a Lumberjack And a Teacher who must Build a Technical Writer in An Abandoned Fun House 2006 1 5 0.99 114 27.99 PG 2013-05-26 14:50:58.951
869 Suspects Quills A Emotional Epistle of a Pioneer And a Crocodile who must Battle a Man in A Manhattan Penthouse 2006 1 4 2.99 47 22.99 PG 2013-05-26 14:50:58.951
870 Swarm Gold A Insightful Panorama of a Crocodile And a Boat who must Conquer a Sumo Wrestler in A MySQL Convention 2006 1 4 0.99 123 12.99 PG-13 2013-05-26 14:50:58.951
871 Sweden Shining A Taut Documentary of a Car And a Robot who must Conquer a Boy in The Canadian Rockies 2006 1 6 4.99 176 19.99 PG 2013-05-26 14:50:58.951
891 Timberland Sky A Boring Display of a Man And a Dog who must Redeem a Girl in A U-Boat 2006 1 3 0.99 69 13.99 G 2013-05-26 14:50:58.951
872 Sweet Brotherhood A Unbelieveable Epistle of a Sumo Wrestler And a Hunter who must Chase a Forensic Psychologist in A Baloon 2006 1 3 2.99 185 27.99 R 2013-05-26 14:50:58.951
873 Sweethearts Suspects A Brilliant Character Study of a Frisbee And a Sumo Wrestler who must Confront a Woman in The Gulf of Mexico 2006 1 3 0.99 108 13.99 G 2013-05-26 14:50:58.951
874 Tadpole Park A Beautiful Tale of a Frisbee And a Moose who must Vanquish a Dog in An Abandoned Amusement Park 2006 1 6 2.99 155 13.99 PG 2013-05-26 14:50:58.951
875 Talented Homicide A Lacklusture Panorama of a Dentist And a Forensic Psychologist who must Outrace a Pioneer in A U-Boat 2006 1 6 0.99 173 9.99 PG 2013-05-26 14:50:58.951
876 Tarzan Videotape A Fast-Paced Display of a Lumberjack And a Mad Scientist who must Succumb a Sumo Wrestler in The Sahara Desert 2006 1 3 2.99 91 11.99 PG-13 2013-05-26 14:50:58.951
877 Taxi Kick A Amazing Epistle of a Girl And a Woman who must Outrace a Waitress in Soviet Georgia 2006 1 4 0.99 64 23.99 PG-13 2013-05-26 14:50:58.951
878 Teen Apollo A Awe-Inspiring Drama of a Dog And a Man who must Escape a Robot in A Shark Tank 2006 1 3 4.99 74 25.99 G 2013-05-26 14:50:58.951
879 Telegraph Voyage A Fateful Yarn of a Husband And a Dog who must Battle a Waitress in A Jet Boat 2006 1 3 4.99 148 20.99 PG 2013-05-26 14:50:58.951
880 Telemark Heartbreakers A Action-Packed Panorama of a Technical Writer And a Man who must Build a Forensic Psychologist in A Manhattan Penthouse 2006 1 6 2.99 152 9.99 PG-13 2013-05-26 14:50:58.951
881 Temple Attraction A Action-Packed Saga of a Forensic Psychologist And a Woman who must Battle a Womanizer in Soviet Georgia 2006 1 5 4.99 71 13.99 PG 2013-05-26 14:50:58.951
882 Tenenbaums Command A Taut Display of a Pioneer And a Man who must Reach a Girl in The Gulf of Mexico 2006 1 4 0.99 99 24.99 PG-13 2013-05-26 14:50:58.951
883 Tequila Past A Action-Packed Panorama of a Mad Scientist And a Robot who must Challenge a Student in Nigeria 2006 1 6 4.99 53 17.99 PG 2013-05-26 14:50:58.951
884 Terminator Club A Touching Story of a Crocodile And a Girl who must Sink a Man in The Gulf of Mexico 2006 1 5 4.99 88 11.99 R 2013-05-26 14:50:58.951
885 Texas Watch A Awe-Inspiring Yarn of a Student And a Teacher who must Fight a Teacher in An Abandoned Amusement Park 2006 1 7 0.99 179 22.99 NC-17 2013-05-26 14:50:58.951
886 Theory Mermaid A Fateful Yarn of a Composer And a Monkey who must Vanquish a Womanizer in The First Manned Space Station 2006 1 5 0.99 184 9.99 PG-13 2013-05-26 14:50:58.951
965 Watership Frontier A Emotional Yarn of a Boat And a Crocodile who must Meet a Moose in Soviet Georgia 2006 1 6 0.99 112 28.99 G 2013-05-26 14:50:58.951
887 Thief Pelican A Touching Documentary of a Madman And a Mad Scientist who must Outrace a Feminist in An Abandoned Mine Shaft 2006 1 5 4.99 135 28.99 PG-13 2013-05-26 14:50:58.951
888 Thin Sagebrush A Emotional Drama of a Husband And a Lumberjack who must Build a Cat in Ancient India 2006 1 5 4.99 53 9.99 PG-13 2013-05-26 14:50:58.951
889 Ties Hunger A Insightful Saga of a Astronaut And a Explorer who must Pursue a Mad Scientist in A U-Boat 2006 1 3 4.99 111 28.99 R 2013-05-26 14:50:58.951
892 Titanic Boondock A Brilliant Reflection of a Feminist And a Dog who must Fight a Boy in A Baloon Factory 2006 1 3 4.99 104 18.99 R 2013-05-26 14:50:58.951
893 Titans Jerk A Unbelieveable Panorama of a Feminist And a Sumo Wrestler who must Challenge a Technical Writer in Ancient China 2006 1 4 4.99 91 11.99 PG 2013-05-26 14:50:58.951
894 Tomatoes Hellfighters A Thoughtful Epistle of a Madman And a Astronaut who must Overcome a Monkey in A Shark Tank 2006 1 6 0.99 68 23.99 PG 2013-05-26 14:50:58.951
895 Tomorrow Hustler A Thoughtful Story of a Moose And a Husband who must Face a Secret Agent in The Sahara Desert 2006 1 3 2.99 142 21.99 R 2013-05-26 14:50:58.951
896 Tootsie Pilot A Awe-Inspiring Documentary of a Womanizer And a Pastry Chef who must Kill a Lumberjack in Berlin 2006 1 3 0.99 157 10.99 PG 2013-05-26 14:50:58.951
897 Torque Bound A Emotional Display of a Crocodile And a Husband who must Reach a Man in Ancient Japan 2006 1 3 4.99 179 27.99 G 2013-05-26 14:50:58.951
898 Tourist Pelican A Boring Story of a Butler And a Astronaut who must Outrace a Pioneer in Australia 2006 1 4 4.99 152 18.99 PG-13 2013-05-26 14:50:58.951
899 Towers Hurricane A Fateful Display of a Monkey And a Car who must Sink a Husband in A MySQL Convention 2006 1 7 0.99 144 14.99 NC-17 2013-05-26 14:50:58.951
900 Town Ark A Awe-Inspiring Documentary of a Moose And a Madman who must Meet a Dog in An Abandoned Mine Shaft 2006 1 6 2.99 136 17.99 R 2013-05-26 14:50:58.951
901 Tracy Cider A Touching Reflection of a Database Administrator And a Madman who must Build a Lumberjack in Nigeria 2006 1 3 0.99 142 29.99 G 2013-05-26 14:50:58.951
902 Trading Pinocchio A Emotional Character Study of a Student And a Explorer who must Discover a Frisbee in The First Manned Space Station 2006 1 6 4.99 170 22.99 PG 2013-05-26 14:50:58.951
903 Traffic Hobbit A Amazing Epistle of a Squirrel And a Lumberjack who must Succumb a Database Administrator in A U-Boat 2006 1 5 4.99 139 13.99 G 2013-05-26 14:50:58.951
904 Train Bunch A Thrilling Character Study of a Robot And a Squirrel who must Face a Dog in Ancient India 2006 1 3 4.99 71 26.99 R 2013-05-26 14:50:58.951
905 Trainspotting Strangers A Fast-Paced Drama of a Pioneer And a Mad Cow who must Challenge a Madman in Ancient Japan 2006 1 7 4.99 132 10.99 PG-13 2013-05-26 14:50:58.951
906 Tramp Others A Brilliant Display of a Composer And a Cat who must Succumb a A Shark in Ancient India 2006 1 4 0.99 171 27.99 PG 2013-05-26 14:50:58.951
907 Translation Summer A Touching Reflection of a Man And a Monkey who must Pursue a Womanizer in A MySQL Convention 2006 1 4 0.99 168 10.99 PG-13 2013-05-26 14:50:58.951
908 Trap Guys A Unbelieveable Story of a Boy And a Mad Cow who must Challenge a Database Administrator in The Sahara Desert 2006 1 3 4.99 110 11.99 G 2013-05-26 14:50:58.951
909 Treasure Command A Emotional Saga of a Car And a Madman who must Discover a Pioneer in California 2006 1 3 0.99 102 28.99 PG-13 2013-05-26 14:50:58.951
910 Treatment Jekyll A Boring Story of a Teacher And a Student who must Outgun a Cat in An Abandoned Mine Shaft 2006 1 3 0.99 87 19.99 PG 2013-05-26 14:50:58.951
911 Trip Newton A Fanciful Character Study of a Lumberjack And a Car who must Discover a Cat in An Abandoned Amusement Park 2006 1 7 4.99 64 14.99 PG-13 2013-05-26 14:50:58.951
912 Trojan Tomorrow A Astounding Panorama of a Husband And a Sumo Wrestler who must Pursue a Boat in Ancient India 2006 1 3 2.99 52 9.99 PG 2013-05-26 14:50:58.951
913 Troopers Metal A Fanciful Drama of a Monkey And a Feminist who must Sink a Man in Berlin 2006 1 3 0.99 115 20.99 R 2013-05-26 14:50:58.951
914 Trouble Date A Lacklusture Panorama of a Forensic Psychologist And a Woman who must Kill a Explorer in Ancient Japan 2006 1 6 2.99 61 13.99 PG 2013-05-26 14:50:58.951
915 Truman Crazy A Thrilling Epistle of a Moose And a Boy who must Meet a Database Administrator in A Monastery 2006 1 7 4.99 92 9.99 G 2013-05-26 14:50:58.951
916 Turn Star A Stunning Tale of a Man And a Monkey who must Chase a Student in New Orleans 2006 1 3 2.99 80 10.99 G 2013-05-26 14:50:58.951
917 Tuxedo Mile A Boring Drama of a Man And a Forensic Psychologist who must Face a Frisbee in Ancient India 2006 1 3 2.99 152 24.99 R 2013-05-26 14:50:58.951
918 Twisted Pirates A Touching Display of a Frisbee And a Boat who must Kill a Girl in A MySQL Convention 2006 1 4 4.99 152 23.99 PG 2013-05-26 14:50:58.951
919 Tycoon Gathering A Emotional Display of a Husband And a A Shark who must Succumb a Madman in A Manhattan Penthouse 2006 1 3 4.99 82 17.99 G 2013-05-26 14:50:58.951
920 Unbreakable Karate A Amazing Character Study of a Robot And a Student who must Chase a Robot in Australia 2006 1 3 0.99 62 16.99 G 2013-05-26 14:50:58.951
921 Uncut Suicides A Intrepid Yarn of a Explorer And a Pastry Chef who must Pursue a Mad Cow in A U-Boat 2006 1 7 2.99 172 29.99 PG-13 2013-05-26 14:50:58.951
922 Undefeated Dalmations A Unbelieveable Display of a Crocodile And a Feminist who must Overcome a Moose in An Abandoned Amusement Park 2006 1 7 4.99 107 22.99 PG-13 2013-05-26 14:50:58.951
923 Unfaithful Kill A Taut Documentary of a Waitress And a Mad Scientist who must Battle a Technical Writer in New Orleans 2006 1 7 2.99 78 12.99 R 2013-05-26 14:50:58.951
924 Unforgiven Zoolander A Taut Epistle of a Monkey And a Sumo Wrestler who must Vanquish a A Shark in A Baloon Factory 2006 1 7 0.99 129 15.99 PG 2013-05-26 14:50:58.951
925 United Pilot A Fast-Paced Reflection of a Cat And a Mad Cow who must Fight a Car in The Sahara Desert 2006 1 3 0.99 164 27.99 R 2013-05-26 14:50:58.951
926 Untouchables Sunrise A Amazing Documentary of a Woman And a Astronaut who must Outrace a Teacher in An Abandoned Fun House 2006 1 5 2.99 120 11.99 NC-17 2013-05-26 14:50:58.951
928 Uptown Young A Fateful Documentary of a Dog And a Hunter who must Pursue a Teacher in An Abandoned Amusement Park 2006 1 5 2.99 84 16.99 PG 2013-05-26 14:50:58.951
929 Usual Untouchables A Touching Display of a Explorer And a Lumberjack who must Fight a Forensic Psychologist in A Shark Tank 2006 1 5 4.99 128 21.99 PG-13 2013-05-26 14:50:58.951
930 Vacation Boondock A Fanciful Character Study of a Secret Agent And a Mad Scientist who must Reach a Teacher in Australia 2006 1 4 2.99 145 23.99 R 2013-05-26 14:50:58.951
931 Valentine Vanishing A Thrilling Display of a Husband And a Butler who must Reach a Pastry Chef in California 2006 1 7 0.99 48 9.99 PG-13 2013-05-26 14:50:58.951
932 Valley Packer A Astounding Documentary of a Astronaut And a Boy who must Outrace a Sumo Wrestler in Berlin 2006 1 3 0.99 73 21.99 G 2013-05-26 14:50:58.951
933 Vampire Whale A Epic Story of a Lumberjack And a Monkey who must Confront a Pioneer in A MySQL Convention 2006 1 4 4.99 126 11.99 NC-17 2013-05-26 14:50:58.951
934 Vanilla Day A Fast-Paced Saga of a Girl And a Forensic Psychologist who must Redeem a Girl in Nigeria 2006 1 7 4.99 122 20.99 NC-17 2013-05-26 14:50:58.951
935 Vanished Garden A Intrepid Character Study of a Squirrel And a A Shark who must Kill a Lumberjack in California 2006 1 5 0.99 142 17.99 R 2013-05-26 14:50:58.951
936 Vanishing Rocky A Brilliant Reflection of a Man And a Woman who must Conquer a Pioneer in A MySQL Convention 2006 1 3 2.99 123 21.99 NC-17 2013-05-26 14:50:58.951
937 Varsity Trip A Action-Packed Character Study of a Astronaut And a Explorer who must Reach a Monkey in A MySQL Convention 2006 1 7 2.99 85 14.99 NC-17 2013-05-26 14:50:58.951
938 Velvet Terminator A Lacklusture Tale of a Pastry Chef And a Technical Writer who must Confront a Crocodile in An Abandoned Amusement Park 2006 1 3 4.99 173 14.99 R 2013-05-26 14:50:58.951
939 Vertigo Northwest A Unbelieveable Display of a Mad Scientist And a Mad Scientist who must Outgun a Mad Cow in Ancient Japan 2006 1 4 2.99 90 17.99 R 2013-05-26 14:50:58.951
940 Victory Academy A Insightful Epistle of a Mad Scientist And a Explorer who must Challenge a Cat in The Sahara Desert 2006 1 6 0.99 64 19.99 PG-13 2013-05-26 14:50:58.951
941 Videotape Arsenic A Lacklusture Display of a Girl And a Astronaut who must Succumb a Student in Australia 2006 1 4 4.99 145 10.99 NC-17 2013-05-26 14:50:58.951
942 Vietnam Smoochy A Lacklusture Display of a Butler And a Man who must Sink a Explorer in Soviet Georgia 2006 1 7 0.99 174 27.99 PG-13 2013-05-26 14:50:58.951
943 Villain Desperate A Boring Yarn of a Pioneer And a Feminist who must Redeem a Cat in An Abandoned Amusement Park 2006 1 4 4.99 76 27.99 PG-13 2013-05-26 14:50:58.951
944 Virgin Daisy A Awe-Inspiring Documentary of a Robot And a Mad Scientist who must Reach a Database Administrator in A Shark Tank 2006 1 6 4.99 179 29.99 PG-13 2013-05-26 14:50:58.951
945 Virginian Pluto A Emotional Panorama of a Dentist And a Crocodile who must Meet a Boy in Berlin 2006 1 5 0.99 164 22.99 R 2013-05-26 14:50:58.951
946 Virtual Spoilers A Fateful Tale of a Database Administrator And a Squirrel who must Discover a Student in Soviet Georgia 2006 1 3 4.99 144 14.99 NC-17 2013-05-26 14:50:58.951
947 Vision Torque A Thoughtful Documentary of a Dog And a Man who must Sink a Man in A Shark Tank 2006 1 5 0.99 59 16.99 PG-13 2013-05-26 14:50:58.951
948 Voice Peach A Amazing Panorama of a Pioneer And a Student who must Overcome a Mad Scientist in A Manhattan Penthouse 2006 1 6 0.99 139 22.99 PG-13 2013-05-26 14:50:58.951
949 Volcano Texas A Awe-Inspiring Yarn of a Hunter And a Feminist who must Challenge a Dentist in The Outback 2006 1 6 0.99 157 27.99 NC-17 2013-05-26 14:50:58.951
950 Volume House A Boring Tale of a Dog And a Woman who must Meet a Dentist in California 2006 1 7 4.99 132 12.99 PG 2013-05-26 14:50:58.951
951 Voyage Legally A Epic Tale of a Squirrel And a Hunter who must Conquer a Boy in An Abandoned Mine Shaft 2006 1 6 0.99 78 28.99 PG-13 2013-05-26 14:50:58.951
952 Wagon Jaws A Intrepid Drama of a Moose And a Boat who must Kill a Explorer in A Manhattan Penthouse 2006 1 7 2.99 152 17.99 PG 2013-05-26 14:50:58.951
953 Wait Cider A Intrepid Epistle of a Woman And a Forensic Psychologist who must Succumb a Astronaut in A Manhattan Penthouse 2006 1 3 0.99 112 9.99 PG-13 2013-05-26 14:50:58.951
954 Wake Jaws A Beautiful Saga of a Feminist And a Composer who must Challenge a Moose in Berlin 2006 1 7 4.99 73 18.99 G 2013-05-26 14:50:58.951
955 Walls Artist A Insightful Panorama of a Teacher And a Teacher who must Overcome a Mad Cow in An Abandoned Fun House 2006 1 7 4.99 135 19.99 PG 2013-05-26 14:50:58.951
956 Wanda Chamber A Insightful Drama of a A Shark And a Pioneer who must Find a Womanizer in The Outback 2006 1 7 4.99 107 23.99 PG-13 2013-05-26 14:50:58.951
957 War Notting A Boring Drama of a Teacher And a Sumo Wrestler who must Challenge a Secret Agent in The Canadian Rockies 2006 1 7 4.99 80 26.99 G 2013-05-26 14:50:58.951
958 Wardrobe Phantom A Action-Packed Display of a Mad Cow And a Astronaut who must Kill a Car in Ancient India 2006 1 6 2.99 178 19.99 G 2013-05-26 14:50:58.951
959 Warlock Werewolf A Astounding Yarn of a Pioneer And a Crocodile who must Defeat a A Shark in The Outback 2006 1 6 2.99 83 10.99 G 2013-05-26 14:50:58.951
960 Wars Pluto A Taut Reflection of a Teacher And a Database Administrator who must Chase a Madman in The Sahara Desert 2006 1 5 2.99 128 15.99 G 2013-05-26 14:50:58.951
961 Wash Heavenly A Awe-Inspiring Reflection of a Cat And a Pioneer who must Escape a Hunter in Ancient China 2006 1 7 4.99 161 22.99 R 2013-05-26 14:50:58.951
962 Wasteland Divine A Fanciful Story of a Database Administrator And a Womanizer who must Fight a Database Administrator in Ancient China 2006 1 7 2.99 85 18.99 PG 2013-05-26 14:50:58.951
963 Watch Tracy A Fast-Paced Yarn of a Dog And a Frisbee who must Conquer a Hunter in Nigeria 2006 1 5 0.99 78 12.99 PG 2013-05-26 14:50:58.951
964 Waterfront Deliverance A Unbelieveable Documentary of a Dentist And a Technical Writer who must Build a Womanizer in Nigeria 2006 1 4 4.99 61 17.99 G 2013-05-26 14:50:58.951
966 Wedding Apollo A Action-Packed Tale of a Student And a Waitress who must Conquer a Lumberjack in An Abandoned Mine Shaft 2006 1 3 0.99 70 14.99 PG 2013-05-26 14:50:58.951
967 Weekend Personal A Fast-Paced Documentary of a Car And a Butler who must Find a Frisbee in A Jet Boat 2006 1 5 2.99 134 26.99 R 2013-05-26 14:50:58.951
968 Werewolf Lola A Fanciful Story of a Man And a Sumo Wrestler who must Outrace a Student in A Monastery 2006 1 6 4.99 79 19.99 G 2013-05-26 14:50:58.951
969 West Lion A Intrepid Drama of a Butler And a Lumberjack who must Challenge a Database Administrator in A Manhattan Penthouse 2006 1 4 4.99 159 29.99 G 2013-05-26 14:50:58.951
970 Westward Seabiscuit A Lacklusture Tale of a Butler And a Husband who must Face a Boy in Ancient China 2006 1 7 0.99 52 11.99 NC-17 2013-05-26 14:50:58.951
971 Whale Bikini A Intrepid Story of a Pastry Chef And a Database Administrator who must Kill a Feminist in A MySQL Convention 2006 1 4 4.99 109 11.99 PG-13 2013-05-26 14:50:58.951
972 Whisperer Giant A Intrepid Story of a Dentist And a Hunter who must Confront a Monkey in Ancient Japan 2006 1 4 4.99 59 24.99 PG-13 2013-05-26 14:50:58.951
973 Wife Turn A Awe-Inspiring Epistle of a Teacher And a Feminist who must Confront a Pioneer in Ancient Japan 2006 1 3 4.99 183 27.99 NC-17 2013-05-26 14:50:58.951
974 Wild Apollo A Beautiful Story of a Monkey And a Sumo Wrestler who must Conquer a A Shark in A MySQL Convention 2006 1 4 0.99 181 24.99 R 2013-05-26 14:50:58.951
975 Willow Tracy A Brilliant Panorama of a Boat And a Astronaut who must Challenge a Teacher in A Manhattan Penthouse 2006 1 6 2.99 137 22.99 R 2013-05-26 14:50:58.951
976 Wind Phantom A Touching Saga of a Madman And a Forensic Psychologist who must Build a Sumo Wrestler in An Abandoned Mine Shaft 2006 1 6 0.99 111 12.99 R 2013-05-26 14:50:58.951
977 Window Side A Astounding Character Study of a Womanizer And a Hunter who must Escape a Robot in A Monastery 2006 1 3 2.99 85 25.99 R 2013-05-26 14:50:58.951
978 Wisdom Worker A Unbelieveable Saga of a Forensic Psychologist And a Student who must Face a Squirrel in The First Manned Space Station 2006 1 3 0.99 98 12.99 R 2013-05-26 14:50:58.951
979 Witches Panic A Awe-Inspiring Drama of a Secret Agent And a Hunter who must Fight a Moose in Nigeria 2006 1 6 4.99 100 10.99 NC-17 2013-05-26 14:50:58.951
980 Wizard Coldblooded A Lacklusture Display of a Robot And a Girl who must Defeat a Sumo Wrestler in A MySQL Convention 2006 1 4 4.99 75 12.99 PG 2013-05-26 14:50:58.951
981 Wolves Desire A Fast-Paced Drama of a Squirrel And a Robot who must Succumb a Technical Writer in A Manhattan Penthouse 2006 1 7 0.99 55 13.99 NC-17 2013-05-26 14:50:58.951
982 Women Dorado A Insightful Documentary of a Waitress And a Butler who must Vanquish a Composer in Australia 2006 1 4 0.99 126 23.99 R 2013-05-26 14:50:58.951
983 Won Dares A Unbelieveable Documentary of a Teacher And a Monkey who must Defeat a Explorer in A U-Boat 2006 1 7 2.99 105 18.99 PG 2013-05-26 14:50:58.951
984 Wonderful Drop A Boring Panorama of a Woman And a Madman who must Overcome a Butler in A U-Boat 2006 1 3 2.99 126 20.99 NC-17 2013-05-26 14:50:58.951
985 Wonderland Christmas A Awe-Inspiring Character Study of a Waitress And a Car who must Pursue a Mad Scientist in The First Manned Space Station 2006 1 4 4.99 111 19.99 PG 2013-05-26 14:50:58.951
986 Wonka Sea A Brilliant Saga of a Boat And a Mad Scientist who must Meet a Moose in Ancient India 2006 1 6 2.99 85 24.99 NC-17 2013-05-26 14:50:58.951
987 Words Hunter A Action-Packed Reflection of a Composer And a Mad Scientist who must Face a Pioneer in A MySQL Convention 2006 1 3 2.99 116 13.99 PG 2013-05-26 14:50:58.951
988 Worker Tarzan A Action-Packed Yarn of a Secret Agent And a Technical Writer who must Battle a Sumo Wrestler in The First Manned Space Station 2006 1 7 2.99 139 26.99 R 2013-05-26 14:50:58.951
989 Working Microcosmos A Stunning Epistle of a Dentist And a Dog who must Kill a Madman in Ancient China 2006 1 4 4.99 74 22.99 R 2013-05-26 14:50:58.951
990 World Leathernecks A Unbelieveable Tale of a Pioneer And a Astronaut who must Overcome a Robot in An Abandoned Amusement Park 2006 1 3 0.99 171 13.99 PG-13 2013-05-26 14:50:58.951
991 Worst Banger A Thrilling Drama of a Madman And a Dentist who must Conquer a Boy in The Outback 2006 1 4 2.99 185 26.99 PG 2013-05-26 14:50:58.951
992 Wrath Mile A Intrepid Reflection of a Technical Writer And a Hunter who must Defeat a Sumo Wrestler in A Monastery 2006 1 5 0.99 176 17.99 NC-17 2013-05-26 14:50:58.951
993 Wrong Behavior A Emotional Saga of a Crocodile And a Sumo Wrestler who must Discover a Mad Cow in New Orleans 2006 1 6 2.99 178 10.99 PG-13 2013-05-26 14:50:58.951
994 Wyoming Storm A Awe-Inspiring Panorama of a Robot And a Boat who must Overcome a Feminist in A U-Boat 2006 1 6 4.99 100 29.99 PG-13 2013-05-26 14:50:58.951
995 Yentl Idaho A Amazing Display of a Robot And a Astronaut who must Fight a Womanizer in Berlin 2006 1 5 4.99 86 11.99 R 2013-05-26 14:50:58.951
996 Young Language A Unbelieveable Yarn of a Boat And a Database Administrator who must Meet a Boy in The First Manned Space Station 2006 1 6 0.99 183 9.99 G 2013-05-26 14:50:58.951
997 Youth Kick A Touching Drama of a Teacher And a Cat who must Challenge a Technical Writer in A U-Boat 2006 1 4 0.99 179 14.99 NC-17 2013-05-26 14:50:58.951
998 Zhivago Core A Fateful Yarn of a Composer And a Man who must Face a Boy in The Canadian Rockies 2006 1 6 0.99 105 10.99 NC-17 2013-05-26 14:50:58.951
999 Zoolander Fiction A Fateful Reflection of a Waitress And a Boat who must Discover a Sumo Wrestler in Ancient China 2006 1 5 2.99 101 28.99 R 2013-05-26 14:50:58.951
1000 Zorro Ark A Intrepid Panorama of a Mad Scientist And a Boy who must Redeem a Boy in A Monastery 2006 1 3 4.99 50 18.99 NC-17 2013-05-26 14:50:58.951
16 Alley Evolution A Fast-Paced Drama of a Robot And a Composer who must Battle a Astronaut in New Orleans 2006 2 6 2.99 180 23.99 NC-17 2013-05-26 14:50:58.951
17 Alone Trip A Fast-Paced Character Study of a Composer And a Dog who must Outgun a Boat in An Abandoned Fun House 2006 2 3 0.99 82 14.99 R 2013-05-26 14:50:58.951
18 Alter Victory A Thoughtful Drama of a Composer And a Feminist who must Meet a Secret Agent in The Canadian Rockies 2006 2 6 0.99 57 27.99 PG-13 2013-05-26 14:50:58.951
19 Amadeus Holy A Emotional Display of a Pioneer And a Technical Writer who must Battle a Man in A Baloon 2006 2 6 0.99 113 20.99 PG 2013-05-26 14:50:58.951
20 Amelie Hellfighters A Boring Drama of a Woman And a Squirrel who must Conquer a Student in A Baloon 2006 2 4 4.99 79 23.99 R 2013-05-26 14:50:58.951
21 American Circus A Insightful Drama of a Girl And a Astronaut who must Face a Database Administrator in A Shark Tank 2006 2 3 4.99 129 17.99 R 2013-05-26 14:50:58.951
22 Amistad Midsummer A Emotional Character Study of a Dentist And a Crocodile who must Meet a Sumo Wrestler in California 2006 2 6 2.99 85 10.99 G 2013-05-26 14:50:58.951
23 Anaconda Confessions A Lacklusture Display of a Dentist And a Dentist who must Fight a Girl in Australia 2006 2 3 0.99 92 9.99 R 2013-05-26 14:50:58.951
24 Analyze Hoosiers A Thoughtful Display of a Explorer And a Pastry Chef who must Overcome a Feminist in The Sahara Desert 2006 2 6 2.99 181 19.99 R 2013-05-26 14:50:58.951
25 Angels Life A Thoughtful Display of a Woman And a Astronaut who must Battle a Robot in Berlin 2006 2 3 2.99 74 15.99 G 2013-05-26 14:50:58.951
26 Annie Identity A Amazing Panorama of a Pastry Chef And a Boat who must Escape a Woman in An Abandoned Amusement Park 2006 2 3 0.99 86 15.99 G 2013-05-26 14:50:58.951
27 Anonymous Human A Amazing Reflection of a Database Administrator And a Astronaut who must Outrace a Database Administrator in A Shark Tank 2006 2 7 0.99 179 12.99 NC-17 2013-05-26 14:50:58.951
28 Anthem Luke A Touching Panorama of a Waitress And a Woman who must Outrace a Dog in An Abandoned Amusement Park 2006 2 5 4.99 91 16.99 PG-13 2013-05-26 14:50:58.951
29 Antitrust Tomatoes A Fateful Yarn of a Womanizer And a Feminist who must Succumb a Database Administrator in Ancient India 2006 2 5 2.99 168 11.99 NC-17 2013-05-26 14:50:58.951
30 Anything Savannah A Epic Story of a Pastry Chef And a Woman who must Chase a Feminist in An Abandoned Fun House 2006 2 4 2.99 82 27.99 R 2013-05-26 14:50:58.951
34 Arabia Dogma A Touching Epistle of a Madman And a Mad Cow who must Defeat a Student in Nigeria 2006 3 6 0.99 62 29.99 NC-17 2013-05-26 14:50:58.951
35 Arachnophobia Rollercoaster A Action-Packed Reflection of a Pastry Chef And a Composer who must Discover a Mad Scientist in The First Manned Space Station 2006 3 4 2.99 147 24.99 PG-13 2013-05-26 14:50:58.951
36 Argonauts Town A Emotional Epistle of a Forensic Psychologist And a Butler who must Challenge a Waitress in An Abandoned Mine Shaft 2006 3 7 0.99 127 12.99 PG-13 2013-05-26 14:50:58.951
37 Arizona Bang A Brilliant Panorama of a Mad Scientist And a Mad Cow who must Meet a Pioneer in A Monastery 2006 3 3 2.99 121 28.99 PG 2013-05-26 14:50:58.951
38 Ark Ridgemont A Beautiful Yarn of a Pioneer And a Monkey who must Pursue a Explorer in The Sahara Desert 2006 3 6 0.99 68 25.99 NC-17 2013-05-26 14:50:58.951
39 Armageddon Lost A Fast-Paced Tale of a Boat And a Teacher who must Succumb a Composer in An Abandoned Mine Shaft 2006 3 5 0.99 99 10.99 G 2013-05-26 14:50:58.951
40 Army Flintstones A Boring Saga of a Database Administrator And a Womanizer who must Battle a Waitress in Nigeria 2006 3 4 0.99 148 22.99 R 2013-05-26 14:50:58.951
41 Arsenic Independence A Fanciful Documentary of a Mad Cow And a Womanizer who must Find a Dentist in Berlin 2006 3 4 0.99 137 17.99 PG 2013-05-26 14:50:58.951
42 Artist Coldblooded A Stunning Reflection of a Robot And a Moose who must Challenge a Woman in California 2006 3 5 2.99 170 10.99 NC-17 2013-05-26 14:50:58.951
43 Atlantis Cause A Thrilling Yarn of a Feminist And a Hunter who must Fight a Technical Writer in A Shark Tank 2006 3 6 2.99 170 15.99 G 2013-05-26 14:50:58.951
44 Attacks Hate A Fast-Paced Panorama of a Technical Writer And a Mad Scientist who must Find a Feminist in An Abandoned Mine Shaft 2006 3 5 4.99 113 21.99 PG-13 2013-05-26 14:50:58.951
45 Attraction Newton A Astounding Panorama of a Composer And a Frisbee who must Reach a Husband in Ancient Japan 2006 3 5 4.99 83 14.99 PG-13 2013-05-26 14:50:58.951
51 Balloon Homeward A Insightful Panorama of a Forensic Psychologist And a Mad Cow who must Build a Mad Scientist in The First Manned Space Station 2006 4 5 2.99 75 10.99 NC-17 2013-05-26 14:50:58.951
52 Ballroom Mockingbird A Thrilling Documentary of a Composer And a Monkey who must Find a Feminist in California 2006 4 6 0.99 173 29.99 G 2013-05-26 14:50:58.951
53 Bang Kwai A Epic Drama of a Madman And a Cat who must Face a A Shark in An Abandoned Amusement Park 2006 4 5 2.99 87 25.99 NC-17 2013-05-26 14:50:58.951
54 Banger Pinocchio A Awe-Inspiring Drama of a Car And a Pastry Chef who must Chase a Crocodile in The First Manned Space Station 2006 4 5 0.99 113 15.99 R 2013-05-26 14:50:58.951
55 Barbarella Streetcar A Awe-Inspiring Story of a Feminist And a Cat who must Conquer a Dog in A Monastery 2006 4 6 2.99 65 27.99 G 2013-05-26 14:50:58.951
56 Barefoot Manchurian A Intrepid Story of a Cat And a Student who must Vanquish a Girl in An Abandoned Amusement Park 2006 4 6 2.99 129 15.99 G 2013-05-26 14:50:58.951
57 Basic Easy A Stunning Epistle of a Man And a Husband who must Reach a Mad Scientist in A Jet Boat 2006 4 4 2.99 90 18.99 PG-13 2013-05-26 14:50:58.951
58 Beach Heartbreakers A Fateful Display of a Womanizer And a Mad Scientist who must Outgun a A Shark in Soviet Georgia 2006 4 6 2.99 122 16.99 G 2013-05-26 14:50:58.951
59 Bear Graceland A Astounding Saga of a Dog And a Boy who must Kill a Teacher in The First Manned Space Station 2006 4 4 2.99 160 20.99 R 2013-05-26 14:50:58.951
60 Beast Hunchback A Awe-Inspiring Epistle of a Student And a Squirrel who must Defeat a Boy in Ancient China 2006 4 3 4.99 89 22.99 R 2013-05-26 14:50:58.951
68 Betrayed Rear A Emotional Character Study of a Boat And a Pioneer who must Find a Explorer in A Shark Tank 2006 5 5 4.99 122 26.99 NC-17 2013-05-26 14:50:58.951
69 Beverly Outlaw A Fanciful Documentary of a Womanizer And a Boat who must Defeat a Madman in The First Manned Space Station 2006 5 3 2.99 85 21.99 R 2013-05-26 14:50:58.951
70 Bikini Borrowers A Astounding Drama of a Astronaut And a Cat who must Discover a Woman in The First Manned Space Station 2006 5 7 4.99 142 26.99 NC-17 2013-05-26 14:50:58.951
71 Bilko Anonymous A Emotional Reflection of a Teacher And a Man who must Meet a Cat in The First Manned Space Station 2006 5 3 4.99 100 25.99 PG-13 2013-05-26 14:50:58.951
72 Bill Others A Stunning Saga of a Mad Scientist And a Forensic Psychologist who must Challenge a Squirrel in A MySQL Convention 2006 5 6 2.99 93 12.99 PG 2013-05-26 14:50:58.951
73 Bingo Talented A Touching Tale of a Girl And a Crocodile who must Discover a Waitress in Nigeria 2006 5 5 2.99 150 22.99 PG-13 2013-05-26 14:50:58.951
74 Birch Antitrust A Fanciful Panorama of a Husband And a Pioneer who must Outgun a Dog in A Baloon 2006 5 4 4.99 162 18.99 PG 2013-05-26 14:50:58.951
75 Bird Independence A Thrilling Documentary of a Car And a Student who must Sink a Hunter in The Canadian Rockies 2006 5 6 4.99 163 14.99 G 2013-05-26 14:50:58.951
84 Boiled Dares A Awe-Inspiring Story of a Waitress And a Dog who must Discover a Dentist in Ancient Japan 2006 6 7 4.99 102 13.99 PG 2013-05-26 14:50:58.951
85 Bonnie Holocaust A Fast-Paced Story of a Crocodile And a Robot who must Find a Moose in Ancient Japan 2006 6 4 0.99 63 29.99 G 2013-05-26 14:50:58.951
86 Boogie Amelie A Lacklusture Character Study of a Husband And a Sumo Wrestler who must Succumb a Technical Writer in The Gulf of Mexico 2006 6 6 4.99 121 11.99 R 2013-05-26 14:50:58.951
87 Boondock Ballroom A Fateful Panorama of a Crocodile And a Boy who must Defeat a Monkey in The Gulf of Mexico 2006 6 7 0.99 76 14.99 NC-17 2013-05-26 14:50:58.951
88 Born Spinal A Touching Epistle of a Frisbee And a Husband who must Pursue a Student in Nigeria 2006 6 7 4.99 179 17.99 PG 2013-05-26 14:50:58.951
89 Borrowers Bedazzled A Brilliant Epistle of a Teacher And a Sumo Wrestler who must Defeat a Man in An Abandoned Fun House 2006 6 7 0.99 63 22.99 G 2013-05-26 14:50:58.951
90 Boulevard Mob A Fateful Epistle of a Moose And a Monkey who must Confront a Lumberjack in Ancient China 2006 6 3 0.99 63 11.99 R 2013-05-26 14:50:58.951
96 Breaking Home A Beautiful Display of a Secret Agent And a Monkey who must Battle a Sumo Wrestler in An Abandoned Mine Shaft 2006 6 4 2.99 169 21.99 PG-13 2013-05-26 14:50:58.951
97 Bride Intrigue A Epic Tale of a Robot And a Monkey who must Vanquish a Man in New Orleans 2006 6 7 0.99 56 24.99 G 2013-05-26 14:50:58.951
98 Bright Encounters A Fateful Yarn of a Lumberjack And a Feminist who must Conquer a Student in A Jet Boat 2006 6 4 4.99 73 12.99 PG-13 2013-05-26 14:50:58.951
99 Bringing Hysterical A Fateful Saga of a A Shark And a Technical Writer who must Find a Woman in A Jet Boat 2006 6 7 2.99 136 14.99 PG 2013-05-26 14:50:58.951
100 Brooklyn Desert A Beautiful Drama of a Dentist And a Composer who must Battle a Sumo Wrestler in The First Manned Space Station 2006 6 7 4.99 161 21.99 R 2013-05-26 14:50:58.951
\.
--
-- TOC entry 2986 (class 0 OID 18466)
-- Dependencies: 210
-- Data for Name: film_actor; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY public.film_actor (actor_id, film_id, last_update) FROM stdin;
1 1 2006-02-15 10:05:03
1 23 2006-02-15 10:05:03
1 25 2006-02-15 10:05:03
2 3 2006-02-15 10:05:03
2 31 2006-02-15 10:05:03
2 47 2006-02-15 10:05:03
3 17 2006-02-15 10:05:03
3 40 2006-02-15 10:05:03
3 42 2006-02-15 10:05:03
3 87 2006-02-15 10:05:03
4 23 2006-02-15 10:05:03
4 25 2006-02-15 10:05:03
4 56 2006-02-15 10:05:03
4 62 2006-02-15 10:05:03
4 79 2006-02-15 10:05:03
4 87 2006-02-15 10:05:03
5 19 2006-02-15 10:05:03
5 54 2006-02-15 10:05:03
5 85 2006-02-15 10:05:03
6 29 2006-02-15 10:05:03
6 53 2006-02-15 10:05:03
6 60 2006-02-15 10:05:03
6 70 2006-02-15 10:05:03
7 25 2006-02-15 10:05:03
7 27 2006-02-15 10:05:03
7 35 2006-02-15 10:05:03
7 67 2006-02-15 10:05:03
7 96 2006-02-15 10:05:03
8 47 2006-02-15 10:05:03
9 30 2006-02-15 10:05:03
9 74 2006-02-15 10:05:03
10 1 2006-02-15 10:05:03
10 9 2006-02-15 10:05:03
12 16 2006-02-15 10:05:03
12 17 2006-02-15 10:05:03
12 34 2006-02-15 10:05:03
12 37 2006-02-15 10:05:03
12 91 2006-02-15 10:05:03
12 92 2006-02-15 10:05:03
13 17 2006-02-15 10:05:03
13 29 2006-02-15 10:05:03
13 45 2006-02-15 10:05:03
13 87 2006-02-15 10:05:03
15 31 2006-02-15 10:05:03
15 89 2006-02-15 10:05:03
15 91 2006-02-15 10:05:03
16 80 2006-02-15 10:05:03
16 87 2006-02-15 10:05:03
17 96 2006-02-15 10:05:03
18 44 2006-02-15 10:05:03
18 84 2006-02-15 10:05:03
19 2 2006-02-15 10:05:03
19 3 2006-02-15 10:05:03
20 1 2006-02-15 10:05:03
20 54 2006-02-15 10:05:03
20 63 2006-02-15 10:05:03
21 6 2006-02-15 10:05:03
21 87 2006-02-15 10:05:03
21 88 2006-02-15 10:05:03
22 9 2006-02-15 10:05:03
22 23 2006-02-15 10:05:03
22 56 2006-02-15 10:05:03
22 89 2006-02-15 10:05:03
23 6 2006-02-15 10:05:03
23 42 2006-02-15 10:05:03
23 78 2006-02-15 10:05:03
24 3 2006-02-15 10:05:03
24 83 2006-02-15 10:05:03
25 21 2006-02-15 10:05:03
25 86 2006-02-15 10:05:03
26 9 2006-02-15 10:05:03
26 21 2006-02-15 10:05:03
26 34 2006-02-15 10:05:03
26 90 2006-02-15 10:05:03
26 93 2006-02-15 10:05:03
27 19 2006-02-15 10:05:03
27 34 2006-02-15 10:05:03
27 85 2006-02-15 10:05:03
28 14 2006-02-15 10:05:03
28 43 2006-02-15 10:05:03
28 58 2006-02-15 10:05:03
28 74 2006-02-15 10:05:03
28 96 2006-02-15 10:05:03
29 10 2006-02-15 10:05:03
29 79 2006-02-15 10:05:03
30 1 2006-02-15 10:05:03
30 53 2006-02-15 10:05:03
30 64 2006-02-15 10:05:03
30 69 2006-02-15 10:05:03
30 77 2006-02-15 10:05:03
30 87 2006-02-15 10:05:03
31 88 2006-02-15 10:05:03
32 65 2006-02-15 10:05:03
32 84 2006-02-15 10:05:03
33 56 2006-02-15 10:05:03
34 43 2006-02-15 10:05:03
34 90 2006-02-15 10:05:03
35 10 2006-02-15 10:05:03
35 35 2006-02-15 10:05:03
35 52 2006-02-15 10:05:03
36 15 2006-02-15 10:05:03
36 81 2006-02-15 10:05:03
37 10 2006-02-15 10:05:03
37 12 2006-02-15 10:05:03
37 19 2006-02-15 10:05:03
38 24 2006-02-15 10:05:03
39 71 2006-02-15 10:05:03
39 73 2006-02-15 10:05:03
40 1 2006-02-15 10:05:03
40 11 2006-02-15 10:05:03
40 34 2006-02-15 10:05:03
41 4 2006-02-15 10:05:03
41 60 2006-02-15 10:05:03
41 69 2006-02-15 10:05:03
41 86 2006-02-15 10:05:03
41 100 2006-02-15 10:05:03
42 24 2006-02-15 10:05:03
43 19 2006-02-15 10:05:03
43 42 2006-02-15 10:05:03
43 56 2006-02-15 10:05:03
43 89 2006-02-15 10:05:03
44 58 2006-02-15 10:05:03
44 84 2006-02-15 10:05:03
44 88 2006-02-15 10:05:03
44 94 2006-02-15 10:05:03
45 18 2006-02-15 10:05:03
45 65 2006-02-15 10:05:03
45 66 2006-02-15 10:05:03
46 38 2006-02-15 10:05:03
46 51 2006-02-15 10:05:03
47 25 2006-02-15 10:05:03
47 36 2006-02-15 10:05:03
47 53 2006-02-15 10:05:03
47 67 2006-02-15 10:05:03
48 99 2006-02-15 10:05:03
49 31 2006-02-15 10:05:03
51 5 2006-02-15 10:05:03
51 63 2006-02-15 10:05:03
52 20 2006-02-15 10:05:03
52 92 2006-02-15 10:05:03
52 96 2006-02-15 10:05:03
53 1 2006-02-15 10:05:03
53 9 2006-02-15 10:05:03
53 51 2006-02-15 10:05:03
53 58 2006-02-15 10:05:03
54 84 2006-02-15 10:05:03
55 8 2006-02-15 10:05:03
55 27 2006-02-15 10:05:03
55 75 2006-02-15 10:05:03
56 63 2006-02-15 10:05:03
56 87 2006-02-15 10:05:03
57 16 2006-02-15 10:05:03
57 34 2006-02-15 10:05:03
58 48 2006-02-15 10:05:03
58 68 2006-02-15 10:05:03
59 5 2006-02-15 10:05:03
59 46 2006-02-15 10:05:03
59 54 2006-02-15 10:05:03
59 72 2006-02-15 10:05:03
59 88 2006-02-15 10:05:03
60 31 2006-02-15 10:05:03
60 85 2006-02-15 10:05:03
62 6 2006-02-15 10:05:03
62 42 2006-02-15 10:05:03
62 54 2006-02-15 10:05:03
62 100 2006-02-15 10:05:03
63 73 2006-02-15 10:05:03
64 3 2006-02-15 10:05:03
64 10 2006-02-15 10:05:03
64 37 2006-02-15 10:05:03
64 87 2006-02-15 10:05:03
64 88 2006-02-15 10:05:03
65 39 2006-02-15 10:05:03
65 46 2006-02-15 10:05:03
65 97 2006-02-15 10:05:03
66 55 2006-02-15 10:05:03
67 24 2006-02-15 10:05:03
67 57 2006-02-15 10:05:03
67 67 2006-02-15 10:05:03
68 9 2006-02-15 10:05:03
68 45 2006-02-15 10:05:03
69 15 2006-02-15 10:05:03
69 88 2006-02-15 10:05:03
70 50 2006-02-15 10:05:03
70 53 2006-02-15 10:05:03
70 92 2006-02-15 10:05:03
71 26 2006-02-15 10:05:03
71 52 2006-02-15 10:05:03
72 34 2006-02-15 10:05:03
73 36 2006-02-15 10:05:03
73 45 2006-02-15 10:05:03
73 51 2006-02-15 10:05:03
73 77 2006-02-15 10:05:03
74 28 2006-02-15 10:05:03
74 44 2006-02-15 10:05:03
75 12 2006-02-15 10:05:03
75 34 2006-02-15 10:05:03
76 60 2006-02-15 10:05:03
76 66 2006-02-15 10:05:03
76 68 2006-02-15 10:05:03
76 95 2006-02-15 10:05:03
77 13 2006-02-15 10:05:03
77 22 2006-02-15 10:05:03
77 40 2006-02-15 10:05:03
77 73 2006-02-15 10:05:03
77 78 2006-02-15 10:05:03
78 86 2006-02-15 10:05:03
79 32 2006-02-15 10:05:03
79 33 2006-02-15 10:05:03
79 40 2006-02-15 10:05:03
80 69 2006-02-15 10:05:03
81 4 2006-02-15 10:05:03
81 11 2006-02-15 10:05:03
81 59 2006-02-15 10:05:03
81 89 2006-02-15 10:05:03
82 17 2006-02-15 10:05:03
82 33 2006-02-15 10:05:03
83 49 2006-02-15 10:05:03
83 52 2006-02-15 10:05:03
83 58 2006-02-15 10:05:03
84 19 2006-02-15 10:05:03
84 39 2006-02-15 10:05:03
84 46 2006-02-15 10:05:03
85 2 2006-02-15 10:05:03
85 14 2006-02-15 10:05:03
85 72 2006-02-15 10:05:03
85 85 2006-02-15 10:05:03
85 92 2006-02-15 10:05:03
87 48 2006-02-15 10:05:03
88 4 2006-02-15 10:05:03
88 76 2006-02-15 10:05:03
88 87 2006-02-15 10:05:03
89 47 2006-02-15 10:05:03
90 2 2006-02-15 10:05:03
90 11 2006-02-15 10:05:03
90 100 2006-02-15 10:05:03
91 13 2006-02-15 10:05:03
91 25 2006-02-15 10:05:03
91 48 2006-02-15 10:05:03
92 90 2006-02-15 10:05:03
92 94 2006-02-15 10:05:03
93 71 2006-02-15 10:05:03
94 13 2006-02-15 10:05:03
94 60 2006-02-15 10:05:03
94 76 2006-02-15 10:05:03
95 22 2006-02-15 10:05:03
95 35 2006-02-15 10:05:03
95 47 2006-02-15 10:05:03
95 52 2006-02-15 10:05:03
95 65 2006-02-15 10:05:03
95 74 2006-02-15 10:05:03
96 8 2006-02-15 10:05:03
96 36 2006-02-15 10:05:03
96 40 2006-02-15 10:05:03
96 54 2006-02-15 10:05:03
96 58 2006-02-15 10:05:03
96 66 2006-02-15 10:05:03
98 66 2006-02-15 10:05:03
98 72 2006-02-15 10:05:03
98 81 2006-02-15 10:05:03
98 87 2006-02-15 10:05:03
99 7 2006-02-15 10:05:03
99 27 2006-02-15 10:05:03
99 84 2006-02-15 10:05:03
100 17 2006-02-15 10:05:03
101 60 2006-02-15 10:05:03
101 66 2006-02-15 10:05:03
101 85 2006-02-15 10:05:03
102 20 2006-02-15 10:05:03
102 34 2006-02-15 10:05:03
102 53 2006-02-15 10:05:03
103 5 2006-02-15 10:05:03
104 19 2006-02-15 10:05:03
104 39 2006-02-15 10:05:03
104 40 2006-02-15 10:05:03
104 59 2006-02-15 10:05:03
104 70 2006-02-15 10:05:03
105 12 2006-02-15 10:05:03
105 15 2006-02-15 10:05:03
105 21 2006-02-15 10:05:03
105 29 2006-02-15 10:05:03
105 42 2006-02-15 10:05:03
106 44 2006-02-15 10:05:03
106 83 2006-02-15 10:05:03
107 62 2006-02-15 10:05:03
108 1 2006-02-15 10:05:03
108 6 2006-02-15 10:05:03
108 9 2006-02-15 10:05:03
109 12 2006-02-15 10:05:03
109 48 2006-02-15 10:05:03
109 77 2006-02-15 10:05:03
110 8 2006-02-15 10:05:03
110 27 2006-02-15 10:05:03
110 62 2006-02-15 10:05:03
111 61 2006-02-15 10:05:03
111 78 2006-02-15 10:05:03
111 98 2006-02-15 10:05:03
112 34 2006-02-15 10:05:03
112 37 2006-02-15 10:05:03
113 35 2006-02-15 10:05:03
113 84 2006-02-15 10:05:03
114 13 2006-02-15 10:05:03
114 68 2006-02-15 10:05:03
114 90 2006-02-15 10:05:03
115 49 2006-02-15 10:05:03
115 52 2006-02-15 10:05:03
116 36 2006-02-15 10:05:03
116 48 2006-02-15 10:05:03
116 88 2006-02-15 10:05:03
116 90 2006-02-15 10:05:03
117 10 2006-02-15 10:05:03
117 15 2006-02-15 10:05:03
117 42 2006-02-15 10:05:03
118 35 2006-02-15 10:05:03
118 39 2006-02-15 10:05:03
118 41 2006-02-15 10:05:03
118 49 2006-02-15 10:05:03
118 55 2006-02-15 10:05:03
119 21 2006-02-15 10:05:03
119 49 2006-02-15 10:05:03
119 64 2006-02-15 10:05:03
119 87 2006-02-15 10:05:03
120 57 2006-02-15 10:05:03
120 63 2006-02-15 10:05:03
122 22 2006-02-15 10:05:03
122 29 2006-02-15 10:05:03
122 76 2006-02-15 10:05:03
122 83 2006-02-15 10:05:03
123 3 2006-02-15 10:05:03
123 43 2006-02-15 10:05:03
123 67 2006-02-15 10:05:03
124 22 2006-02-15 10:05:03
124 64 2006-02-15 10:05:03
125 62 2006-02-15 10:05:03
125 98 2006-02-15 10:05:03
125 100 2006-02-15 10:05:03
126 21 2006-02-15 10:05:03
126 34 2006-02-15 10:05:03
126 43 2006-02-15 10:05:03
126 58 2006-02-15 10:05:03
126 85 2006-02-15 10:05:03
126 96 2006-02-15 10:05:03
127 36 2006-02-15 10:05:03
127 47 2006-02-15 10:05:03
127 48 2006-02-15 10:05:03
127 79 2006-02-15 10:05:03
128 26 2006-02-15 10:05:03
128 82 2006-02-15 10:05:03
129 56 2006-02-15 10:05:03
129 89 2006-02-15 10:05:03
130 9 2006-02-15 10:05:03
130 26 2006-02-15 10:05:03
130 37 2006-02-15 10:05:03
130 43 2006-02-15 10:05:03
130 49 2006-02-15 10:05:03
130 57 2006-02-15 10:05:03
131 48 2006-02-15 10:05:03
131 66 2006-02-15 10:05:03
131 94 2006-02-15 10:05:03
132 81 2006-02-15 10:05:03
132 82 2006-02-15 10:05:03
133 7 2006-02-15 10:05:03
133 51 2006-02-15 10:05:03
135 35 2006-02-15 10:05:03
135 41 2006-02-15 10:05:03
135 65 2006-02-15 10:05:03
135 88 2006-02-15 10:05:03
136 20 2006-02-15 10:05:03
136 25 2006-02-15 10:05:03
136 33 2006-02-15 10:05:03
136 56 2006-02-15 10:05:03
136 61 2006-02-15 10:05:03
137 6 2006-02-15 10:05:03
137 14 2006-02-15 10:05:03
137 56 2006-02-15 10:05:03
137 96 2006-02-15 10:05:03
138 8 2006-02-15 10:05:03
138 52 2006-02-15 10:05:03
138 61 2006-02-15 10:05:03
139 20 2006-02-15 10:05:03
139 35 2006-02-15 10:05:03
139 57 2006-02-15 10:05:03
139 74 2006-02-15 10:05:03
139 90 2006-02-15 10:05:03
140 27 2006-02-15 10:05:03
140 77 2006-02-15 10:05:03
141 43 2006-02-15 10:05:03
141 67 2006-02-15 10:05:03
142 10 2006-02-15 10:05:03
142 18 2006-02-15 10:05:03
143 47 2006-02-15 10:05:03
143 79 2006-02-15 10:05:03
144 18 2006-02-15 10:05:03
144 67 2006-02-15 10:05:03
144 79 2006-02-15 10:05:03
144 90 2006-02-15 10:05:03
144 99 2006-02-15 10:05:03
145 39 2006-02-15 10:05:03
146 12 2006-02-15 10:05:03
146 16 2006-02-15 10:05:03
146 33 2006-02-15 10:05:03
147 4 2006-02-15 10:05:03
147 85 2006-02-15 10:05:03
148 27 2006-02-15 10:05:03
148 57 2006-02-15 10:05:03
149 53 2006-02-15 10:05:03
149 72 2006-02-15 10:05:03
149 95 2006-02-15 10:05:03
150 23 2006-02-15 10:05:03
150 63 2006-02-15 10:05:03
150 75 2006-02-15 10:05:03
150 94 2006-02-15 10:05:03
152 59 2006-02-15 10:05:03
153 47 2006-02-15 10:05:03
153 64 2006-02-15 10:05:03
154 27 2006-02-15 10:05:03
155 20 2006-02-15 10:05:03
155 67 2006-02-15 10:05:03
156 53 2006-02-15 10:05:03
157 10 2006-02-15 10:05:03
157 24 2006-02-15 10:05:03
157 34 2006-02-15 10:05:03
158 32 2006-02-15 10:05:03
158 47 2006-02-15 10:05:03
158 64 2006-02-15 10:05:03
158 66 2006-02-15 10:05:03
159 20 2006-02-15 10:05:03
159 82 2006-02-15 10:05:03
160 2 2006-02-15 10:05:03
160 17 2006-02-15 10:05:03
160 43 2006-02-15 10:05:03
161 43 2006-02-15 10:05:03
161 58 2006-02-15 10:05:03
161 89 2006-02-15 10:05:03
161 90 2006-02-15 10:05:03
162 1 2006-02-15 10:05:03
162 4 2006-02-15 10:05:03
162 7 2006-02-15 10:05:03
162 18 2006-02-15 10:05:03
162 28 2006-02-15 10:05:03
162 32 2006-02-15 10:05:03
162 33 2006-02-15 10:05:03
162 41 2006-02-15 10:05:03
162 85 2006-02-15 10:05:03
163 30 2006-02-15 10:05:03
163 45 2006-02-15 10:05:03
164 15 2006-02-15 10:05:03
164 23 2006-02-15 10:05:03
165 72 2006-02-15 10:05:03
165 95 2006-02-15 10:05:03
166 25 2006-02-15 10:05:03
166 38 2006-02-15 10:05:03
166 55 2006-02-15 10:05:03
166 61 2006-02-15 10:05:03
166 68 2006-02-15 10:05:03
166 86 2006-02-15 10:05:03
167 17 2006-02-15 10:05:03
167 25 2006-02-15 10:05:03
167 63 2006-02-15 10:05:03
167 72 2006-02-15 10:05:03
168 32 2006-02-15 10:05:03
168 56 2006-02-15 10:05:03
168 92 2006-02-15 10:05:03
169 6 2006-02-15 10:05:03
169 78 2006-02-15 10:05:03
169 93 2006-02-15 10:05:03
170 7 2006-02-15 10:05:03
170 15 2006-02-15 10:05:03
170 27 2006-02-15 10:05:03
170 33 2006-02-15 10:05:03
171 49 2006-02-15 10:05:03
172 57 2006-02-15 10:05:03
172 100 2006-02-15 10:05:03
173 49 2006-02-15 10:05:03
173 55 2006-02-15 10:05:03
173 74 2006-02-15 10:05:03
173 80 2006-02-15 10:05:03
174 11 2006-02-15 10:05:03
174 61 2006-02-15 10:05:03
175 9 2006-02-15 10:05:03
175 29 2006-02-15 10:05:03
175 67 2006-02-15 10:05:03
176 13 2006-02-15 10:05:03
176 73 2006-02-15 10:05:03
176 89 2006-02-15 10:05:03
177 12 2006-02-15 10:05:03
177 39 2006-02-15 10:05:03
177 52 2006-02-15 10:05:03
177 55 2006-02-15 10:05:03
177 86 2006-02-15 10:05:03
178 30 2006-02-15 10:05:03
178 34 2006-02-15 10:05:03
179 24 2006-02-15 10:05:03
179 27 2006-02-15 10:05:03
179 65 2006-02-15 10:05:03
179 85 2006-02-15 10:05:03
180 12 2006-02-15 10:05:03
180 33 2006-02-15 10:05:03
181 5 2006-02-15 10:05:03
181 40 2006-02-15 10:05:03
181 74 2006-02-15 10:05:03
181 78 2006-02-15 10:05:03
181 83 2006-02-15 10:05:03
182 33 2006-02-15 10:05:03
183 32 2006-02-15 10:05:03
183 40 2006-02-15 10:05:03
183 71 2006-02-15 10:05:03
184 35 2006-02-15 10:05:03
184 87 2006-02-15 10:05:03
185 7 2006-02-15 10:05:03
185 95 2006-02-15 10:05:03
186 95 2006-02-15 10:05:03
187 17 2006-02-15 10:05:03
187 25 2006-02-15 10:05:03
187 29 2006-02-15 10:05:03
187 51 2006-02-15 10:05:03
187 73 2006-02-15 10:05:03
187 76 2006-02-15 10:05:03
187 98 2006-02-15 10:05:03
188 1 2006-02-15 10:05:03
188 10 2006-02-15 10:05:03
188 14 2006-02-15 10:05:03
188 51 2006-02-15 10:05:03
189 43 2006-02-15 10:05:03
189 82 2006-02-15 10:05:03
190 38 2006-02-15 10:05:03
190 54 2006-02-15 10:05:03
190 62 2006-02-15 10:05:03
190 87 2006-02-15 10:05:03
191 16 2006-02-15 10:05:03
191 39 2006-02-15 10:05:03
191 84 2006-02-15 10:05:03
192 16 2006-02-15 10:05:03
192 69 2006-02-15 10:05:03
193 44 2006-02-15 10:05:03
193 80 2006-02-15 10:05:03
194 9 2006-02-15 10:05:03
194 42 2006-02-15 10:05:03
194 67 2006-02-15 10:05:03
194 86 2006-02-15 10:05:03
194 88 2006-02-15 10:05:03
194 98 2006-02-15 10:05:03
196 64 2006-02-15 10:05:03
197 6 2006-02-15 10:05:03
197 29 2006-02-15 10:05:03
197 63 2006-02-15 10:05:03
198 1 2006-02-15 10:05:03
199 67 2006-02-15 10:05:03
199 84 2006-02-15 10:05:03
200 5 2006-02-15 10:05:03
200 49 2006-02-15 10:05:03
200 80 2006-02-15 10:05:03
\.
--
-- TOC entry 2987 (class 0 OID 18470)
-- Dependencies: 211
-- Data for Name: film_category; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY public.film_category (film_id, category_id, last_update) FROM stdin;
1 6 2006-02-15 10:07:09
2 11 2006-02-15 10:07:09
3 6 2006-02-15 10:07:09
4 11 2006-02-15 10:07:09
5 8 2006-02-15 10:07:09
6 9 2006-02-15 10:07:09
7 5 2006-02-15 10:07:09
8 11 2006-02-15 10:07:09
9 11 2006-02-15 10:07:09
10 15 2006-02-15 10:07:09
11 9 2006-02-15 10:07:09
12 12 2006-02-15 10:07:09
13 11 2006-02-15 10:07:09
14 4 2006-02-15 10:07:09
15 9 2006-02-15 10:07:09
16 9 2006-02-15 10:07:09
17 12 2006-02-15 10:07:09
18 2 2006-02-15 10:07:09
19 1 2006-02-15 10:07:09
20 12 2006-02-15 10:07:09
21 1 2006-02-15 10:07:09
22 13 2006-02-15 10:07:09
23 2 2006-02-15 10:07:09
24 11 2006-02-15 10:07:09
25 13 2006-02-15 10:07:09
26 14 2006-02-15 10:07:09
27 15 2006-02-15 10:07:09
28 5 2006-02-15 10:07:09
29 1 2006-02-15 10:07:09
30 11 2006-02-15 10:07:09
31 8 2006-02-15 10:07:09
32 13 2006-02-15 10:07:09
33 7 2006-02-15 10:07:09
34 11 2006-02-15 10:07:09
35 11 2006-02-15 10:07:09
36 2 2006-02-15 10:07:09
37 4 2006-02-15 10:07:09
38 1 2006-02-15 10:07:09
39 14 2006-02-15 10:07:09
40 6 2006-02-15 10:07:09
41 16 2006-02-15 10:07:09
42 15 2006-02-15 10:07:09
43 8 2006-02-15 10:07:09
44 14 2006-02-15 10:07:09
45 13 2006-02-15 10:07:09
46 10 2006-02-15 10:07:09
47 9 2006-02-15 10:07:09
48 3 2006-02-15 10:07:09
49 14 2006-02-15 10:07:09
50 8 2006-02-15 10:07:09
51 12 2006-02-15 10:07:09
52 9 2006-02-15 10:07:09
53 8 2006-02-15 10:07:09
54 12 2006-02-15 10:07:09
55 14 2006-02-15 10:07:09
56 1 2006-02-15 10:07:09
57 16 2006-02-15 10:07:09
58 6 2006-02-15 10:07:09
59 3 2006-02-15 10:07:09
60 4 2006-02-15 10:07:09
61 7 2006-02-15 10:07:09
62 6 2006-02-15 10:07:09
63 8 2006-02-15 10:07:09
64 7 2006-02-15 10:07:09
65 11 2006-02-15 10:07:09
66 3 2006-02-15 10:07:09
67 1 2006-02-15 10:07:09
68 3 2006-02-15 10:07:09
69 14 2006-02-15 10:07:09
70 2 2006-02-15 10:07:09
71 8 2006-02-15 10:07:09
72 6 2006-02-15 10:07:09
73 14 2006-02-15 10:07:09
74 12 2006-02-15 10:07:09
75 16 2006-02-15 10:07:09
76 12 2006-02-15 10:07:09
77 13 2006-02-15 10:07:09
78 2 2006-02-15 10:07:09
79 7 2006-02-15 10:07:09
80 8 2006-02-15 10:07:09
81 14 2006-02-15 10:07:09
82 8 2006-02-15 10:07:09
83 8 2006-02-15 10:07:09
84 16 2006-02-15 10:07:09
85 6 2006-02-15 10:07:09
86 12 2006-02-15 10:07:09
87 16 2006-02-15 10:07:09
88 16 2006-02-15 10:07:09
89 2 2006-02-15 10:07:09
90 13 2006-02-15 10:07:09
91 4 2006-02-15 10:07:09
92 11 2006-02-15 10:07:09
93 13 2006-02-15 10:07:09
94 8 2006-02-15 10:07:09
95 13 2006-02-15 10:07:09
96 13 2006-02-15 10:07:09
97 1 2006-02-15 10:07:09
98 7 2006-02-15 10:07:09
99 5 2006-02-15 10:07:09
100 9 2006-02-15 10:07:09
\.
--
-- TOC entry 2989 (class 0 OID 18476)
-- Dependencies: 213
-- Data for Name: inventory; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY public.inventory (inventory_id, film_id, store_id, last_update) FROM stdin;
1 1 1 2006-02-15 10:09:17
2 1 1 2006-02-15 10:09:17
3 1 1 2006-02-15 10:09:17
4 1 1 2006-02-15 10:09:17
5 1 2 2006-02-15 10:09:17
6 1 2 2006-02-15 10:09:17
7 1 2 2006-02-15 10:09:17
8 1 2 2006-02-15 10:09:17
9 2 2 2006-02-15 10:09:17
10 2 2 2006-02-15 10:09:17
11 2 2 2006-02-15 10:09:17
12 3 2 2006-02-15 10:09:17
13 3 2 2006-02-15 10:09:17
14 3 2 2006-02-15 10:09:17
15 3 2 2006-02-15 10:09:17
16 4 1 2006-02-15 10:09:17
17 4 1 2006-02-15 10:09:17
18 4 1 2006-02-15 10:09:17
19 4 1 2006-02-15 10:09:17
20 4 2 2006-02-15 10:09:17
21 4 2 2006-02-15 10:09:17
22 4 2 2006-02-15 10:09:17
23 5 2 2006-02-15 10:09:17
24 5 2 2006-02-15 10:09:17
25 5 2 2006-02-15 10:09:17
26 6 1 2006-02-15 10:09:17
27 6 1 2006-02-15 10:09:17
28 6 1 2006-02-15 10:09:17
29 6 2 2006-02-15 10:09:17
30 6 2 2006-02-15 10:09:17
31 6 2 2006-02-15 10:09:17
32 7 1 2006-02-15 10:09:17
33 7 1 2006-02-15 10:09:17
34 7 2 2006-02-15 10:09:17
35 7 2 2006-02-15 10:09:17
36 7 2 2006-02-15 10:09:17
37 8 2 2006-02-15 10:09:17
38 8 2 2006-02-15 10:09:17
39 8 2 2006-02-15 10:09:17
40 8 2 2006-02-15 10:09:17
41 9 1 2006-02-15 10:09:17
42 9 1 2006-02-15 10:09:17
43 9 1 2006-02-15 10:09:17
44 9 2 2006-02-15 10:09:17
45 9 2 2006-02-15 10:09:17
46 10 1 2006-02-15 10:09:17
47 10 1 2006-02-15 10:09:17
48 10 1 2006-02-15 10:09:17
49 10 1 2006-02-15 10:09:17
50 10 2 2006-02-15 10:09:17
51 10 2 2006-02-15 10:09:17
52 10 2 2006-02-15 10:09:17
53 11 1 2006-02-15 10:09:17
54 11 1 2006-02-15 10:09:17
55 11 1 2006-02-15 10:09:17
56 11 1 2006-02-15 10:09:17
57 11 2 2006-02-15 10:09:17
58 11 2 2006-02-15 10:09:17
59 11 2 2006-02-15 10:09:17
60 12 1 2006-02-15 10:09:17
61 12 1 2006-02-15 10:09:17
62 12 1 2006-02-15 10:09:17
63 12 2 2006-02-15 10:09:17
64 12 2 2006-02-15 10:09:17
65 12 2 2006-02-15 10:09:17
66 12 2 2006-02-15 10:09:17
67 13 2 2006-02-15 10:09:17
68 13 2 2006-02-15 10:09:17
69 13 2 2006-02-15 10:09:17
70 13 2 2006-02-15 10:09:17
71 15 1 2006-02-15 10:09:17
72 15 1 2006-02-15 10:09:17
73 15 2 2006-02-15 10:09:17
74 15 2 2006-02-15 10:09:17
75 15 2 2006-02-15 10:09:17
76 15 2 2006-02-15 10:09:17
77 16 1 2006-02-15 10:09:17
78 16 1 2006-02-15 10:09:17
79 16 2 2006-02-15 10:09:17
80 16 2 2006-02-15 10:09:17
81 17 1 2006-02-15 10:09:17
82 17 1 2006-02-15 10:09:17
83 17 1 2006-02-15 10:09:17
84 17 2 2006-02-15 10:09:17
85 17 2 2006-02-15 10:09:17
86 17 2 2006-02-15 10:09:17
87 18 1 2006-02-15 10:09:17
88 18 1 2006-02-15 10:09:17
89 18 1 2006-02-15 10:09:17
90 18 2 2006-02-15 10:09:17
91 18 2 2006-02-15 10:09:17
92 18 2 2006-02-15 10:09:17
93 19 1 2006-02-15 10:09:17
94 19 1 2006-02-15 10:09:17
95 19 1 2006-02-15 10:09:17
96 19 1 2006-02-15 10:09:17
97 19 2 2006-02-15 10:09:17
98 19 2 2006-02-15 10:09:17
99 20 1 2006-02-15 10:09:17
100 20 1 2006-02-15 10:09:17
\.
--
-- TOC entry 2991 (class 0 OID 18483)
-- Dependencies: 215
-- Data for Name: language; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY public.language (language_id, name, last_update) FROM stdin;
1 English 2006-02-15 10:02:19
2 Italian 2006-02-15 10:02:19
3 Japanese 2006-02-15 10:02:19
4 Mandarin 2006-02-15 10:02:19
5 French 2006-02-15 10:02:19
6 German 2006-02-15 10:02:19
\.
--
-- TOC entry 2993 (class 0 OID 18490)
-- Dependencies: 217
-- Data for Name: payment; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY public.payment (payment_id, customer_id, staff_id, rental_id, amount, payment_date) FROM stdin;
\.
--
-- TOC entry 2995 (class 0 OID 18496)
-- Dependencies: 219
-- Data for Name: rental; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY public.rental (rental_id, rental_date, inventory_id, customer_id, return_date, staff_id, last_update) FROM stdin;
64 2005-05-25 09:21:29 79 368 2005-06-03 11:31:29 1 2006-02-16 02:30:53
\.
--
-- TOC entry 2997 (class 0 OID 18503)
-- Dependencies: 221
-- Data for Name: staff; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY public.staff (staff_id, first_name, last_name, address_id, email, store_id, active, username, password, last_update) FROM stdin;
1 Mike Hillyer 3 Mike.Hillyer@sakilastaff.com 1 t Mike 8cb2237d0679ca88db6464eac60da96345513964 2006-05-16 16:13:11.79328
2 Jon Stephens 4 Jon.Stephens@sakilastaff.com 2 t Jon 8cb2237d0679ca88db6464eac60da96345513964 2006-05-16 16:13:11.79328
\.
--
-- TOC entry 2999 (class 0 OID 18514)
-- Dependencies: 223
-- Data for Name: store; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY public.store (store_id, manager_staff_id, address_id, last_update) FROM stdin;
1 1 1 2006-02-15 09:57:12
2 2 2 2006-02-15 09:57:12
\.
--
-- TOC entry 3006 (class 0 OID 0)
-- Dependencies: 196
-- Name: actor_actor_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('public.actor_actor_id_seq', 200, true);
--
-- TOC entry 3007 (class 0 OID 0)
-- Dependencies: 198
-- Name: address_address_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('public.address_address_id_seq', 605, true);
--
-- TOC entry 3008 (class 0 OID 0)
-- Dependencies: 200
-- Name: category_category_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('public.category_category_id_seq', 16, true);
--
-- TOC entry 3009 (class 0 OID 0)
-- Dependencies: 202
-- Name: city_city_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('public.city_city_id_seq', 600, true);
--
-- TOC entry 3010 (class 0 OID 0)
-- Dependencies: 204
-- Name: country_country_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('public.country_country_id_seq', 109, true);
--
-- TOC entry 3011 (class 0 OID 0)
-- Dependencies: 206
-- Name: customer_customer_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('public.customer_customer_id_seq', 599, true);
--
-- TOC entry 3012 (class 0 OID 0)
-- Dependencies: 208
-- Name: film_film_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('public.film_film_id_seq', 1001, true);
--
-- TOC entry 3013 (class 0 OID 0)
-- Dependencies: 212
-- Name: inventory_inventory_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('public.inventory_inventory_id_seq', 4581, true);
--
-- TOC entry 3014 (class 0 OID 0)
-- Dependencies: 214
-- Name: language_language_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('public.language_language_id_seq', 6, true);
--
-- TOC entry 3015 (class 0 OID 0)
-- Dependencies: 216
-- Name: payment_payment_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('public.payment_payment_id_seq', 32098, true);
--
-- TOC entry 3016 (class 0 OID 0)
-- Dependencies: 218
-- Name: rental_rental_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('public.rental_rental_id_seq', 16049, true);
--
-- TOC entry 3017 (class 0 OID 0)
-- Dependencies: 220
-- Name: staff_staff_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('public.staff_staff_id_seq', 2, true);
--
-- TOC entry 3018 (class 0 OID 0)
-- Dependencies: 222
-- Name: store_store_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('public.store_store_id_seq', 2, true);
--
-- TOC entry 2787 (class 2606 OID 18520)
-- Name: actor actor_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.actor
ADD CONSTRAINT actor_pkey PRIMARY KEY (actor_id);
--
-- TOC entry 2790 (class 2606 OID 18522)
-- Name: address address_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.address
ADD CONSTRAINT address_pkey PRIMARY KEY (address_id);
--
-- TOC entry 2793 (class 2606 OID 18524)
-- Name: category category_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.category
ADD CONSTRAINT category_pkey PRIMARY KEY (category_id);
--
-- TOC entry 2795 (class 2606 OID 18526)
-- Name: city city_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.city
ADD CONSTRAINT city_pkey PRIMARY KEY (city_id);
--
-- TOC entry 2798 (class 2606 OID 18528)
-- Name: country country_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.country
ADD CONSTRAINT country_pkey PRIMARY KEY (country_id);
--
-- TOC entry 2800 (class 2606 OID 18530)
-- Name: customer customer_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.customer
ADD CONSTRAINT customer_pkey PRIMARY KEY (customer_id);
--
-- TOC entry 2809 (class 2606 OID 41051)
-- Name: film_actor film_actor_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.film_actor
ADD CONSTRAINT film_actor_pkey PRIMARY KEY (actor_id, film_id);
--
-- TOC entry 2812 (class 2606 OID 41075)
-- Name: film_category film_category_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.film_category
ADD CONSTRAINT film_category_pkey PRIMARY KEY (film_id, category_id);
--
-- TOC entry 2805 (class 2606 OID 18536)
-- Name: film film_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.film
ADD CONSTRAINT film_pkey PRIMARY KEY (film_id);
--
-- TOC entry 2815 (class 2606 OID 18538)
-- Name: inventory inventory_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.inventory
ADD CONSTRAINT inventory_pkey PRIMARY KEY (inventory_id);
--
-- TOC entry 2817 (class 2606 OID 18540)
-- Name: language language_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.language
ADD CONSTRAINT language_pkey PRIMARY KEY (language_id);
--
-- TOC entry 2822 (class 2606 OID 18542)
-- Name: payment payment_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.payment
ADD CONSTRAINT payment_pkey PRIMARY KEY (payment_id);
--
-- TOC entry 2826 (class 2606 OID 18544)
-- Name: rental rental_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.rental
ADD CONSTRAINT rental_pkey PRIMARY KEY (rental_id);
--
-- TOC entry 2828 (class 2606 OID 18546)
-- Name: staff staff_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.staff
ADD CONSTRAINT staff_pkey PRIMARY KEY (staff_id);
--
-- TOC entry 2831 (class 2606 OID 18548)
-- Name: store store_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.store
ADD CONSTRAINT store_pkey PRIMARY KEY (store_id);
--
-- TOC entry 2788 (class 1259 OID 18550)
-- Name: idx_actor_last_name; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX idx_actor_last_name ON public.actor USING btree (last_name);
--
-- TOC entry 2801 (class 1259 OID 18551)
-- Name: idx_fk_address_id; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX idx_fk_address_id ON public.customer USING btree (address_id);
--
-- TOC entry 2791 (class 1259 OID 18552)
-- Name: idx_fk_city_id; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX idx_fk_city_id ON public.address USING btree (city_id);
--
-- TOC entry 2796 (class 1259 OID 18553)
-- Name: idx_fk_country_id; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX idx_fk_country_id ON public.city USING btree (country_id);
--
-- TOC entry 2818 (class 1259 OID 18554)
-- Name: idx_fk_customer_id; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX idx_fk_customer_id ON public.payment USING btree (customer_id);
--
-- TOC entry 2810 (class 1259 OID 41052)
-- Name: idx_fk_film_id; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX idx_fk_film_id ON public.film_actor USING btree (film_id);
--
-- TOC entry 2823 (class 1259 OID 18556)
-- Name: idx_fk_inventory_id; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX idx_fk_inventory_id ON public.rental USING btree (inventory_id);
--
-- TOC entry 2806 (class 1259 OID 18557)
-- Name: idx_fk_language_id; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX idx_fk_language_id ON public.film USING btree (language_id);
--
-- TOC entry 2819 (class 1259 OID 18558)
-- Name: idx_fk_rental_id; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX idx_fk_rental_id ON public.payment USING btree (rental_id);
--
-- TOC entry 2820 (class 1259 OID 18559)
-- Name: idx_fk_staff_id; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX idx_fk_staff_id ON public.payment USING btree (staff_id);
--
-- TOC entry 2802 (class 1259 OID 18560)
-- Name: idx_fk_store_id; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX idx_fk_store_id ON public.customer USING btree (store_id);
--
-- TOC entry 2803 (class 1259 OID 18561)
-- Name: idx_last_name; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX idx_last_name ON public.customer USING btree (last_name);
--
-- TOC entry 2813 (class 1259 OID 18562)
-- Name: idx_store_id_film_id; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX idx_store_id_film_id ON public.inventory USING btree (store_id, film_id);
--
-- TOC entry 2807 (class 1259 OID 18563)
-- Name: idx_title; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX idx_title ON public.film USING btree (title);
--
-- TOC entry 2829 (class 1259 OID 18564)
-- Name: idx_unq_manager_staff_id; Type: INDEX; Schema: public; Owner: postgres
--
CREATE UNIQUE INDEX idx_unq_manager_staff_id ON public.store USING btree (manager_staff_id);
--
-- TOC entry 2824 (class 1259 OID 18565)
-- Name: idx_unq_rental_rental_date_inventory_id_customer_id; Type: INDEX; Schema: public; Owner: postgres
--
CREATE UNIQUE INDEX idx_unq_rental_rental_date_inventory_id_customer_id ON public.rental USING btree (rental_date, inventory_id, customer_id);
--
-- TOC entry 2850 (class 2620 OID 18566)
-- Name: film film_fulltext_trigger; Type: TRIGGER; Schema: public; Owner: postgres
--
CREATE TRIGGER film_fulltext_trigger BEFORE INSERT OR UPDATE ON public.film FOR EACH ROW EXECUTE PROCEDURE tsvector_update_trigger('fulltext', 'pg_catalog.english', 'title', 'description');
--
-- TOC entry 2834 (class 2606 OID 18567)
-- Name: customer customer_address_id_fkey; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.customer
ADD CONSTRAINT customer_address_id_fkey FOREIGN KEY (address_id) REFERENCES public.address(address_id) ON UPDATE CASCADE ON DELETE RESTRICT;
--
-- TOC entry 2836 (class 2606 OID 41040)
-- Name: film_actor film_actor_actor_id_fkey; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.film_actor
ADD CONSTRAINT film_actor_actor_id_fkey FOREIGN KEY (actor_id) REFERENCES public.actor(actor_id) ON UPDATE CASCADE ON DELETE RESTRICT;
--
-- TOC entry 2837 (class 2606 OID 41053)
-- Name: film_actor film_actor_film_id_fkey; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.film_actor
ADD CONSTRAINT film_actor_film_id_fkey FOREIGN KEY (film_id) REFERENCES public.film(film_id) ON UPDATE CASCADE ON DELETE RESTRICT;
--
-- TOC entry 2839 (class 2606 OID 41076)
-- Name: film_category film_category_category_id_fkey; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.film_category
ADD CONSTRAINT film_category_category_id_fkey FOREIGN KEY (category_id) REFERENCES public.category(category_id) ON UPDATE CASCADE ON DELETE RESTRICT;
--
-- TOC entry 2838 (class 2606 OID 41065)
-- Name: film_category film_category_film_id_fkey; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.film_category
ADD CONSTRAINT film_category_film_id_fkey FOREIGN KEY (film_id) REFERENCES public.film(film_id) ON UPDATE CASCADE ON DELETE RESTRICT;
--
-- TOC entry 2835 (class 2606 OID 18592)
-- Name: film film_language_id_fkey; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.film
ADD CONSTRAINT film_language_id_fkey FOREIGN KEY (language_id) REFERENCES public.language(language_id) ON UPDATE CASCADE ON DELETE RESTRICT;
--
-- TOC entry 2832 (class 2606 OID 18597)
-- Name: address fk_address_city; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.address
ADD CONSTRAINT fk_address_city FOREIGN KEY (city_id) REFERENCES public.city(city_id);
--
-- TOC entry 2833 (class 2606 OID 18602)
-- Name: city fk_city; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.city
ADD CONSTRAINT fk_city FOREIGN KEY (country_id) REFERENCES public.country(country_id);
--
-- TOC entry 2840 (class 2606 OID 18607)
-- Name: inventory inventory_film_id_fkey; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.inventory
ADD CONSTRAINT inventory_film_id_fkey FOREIGN KEY (film_id) REFERENCES public.film(film_id) ON UPDATE CASCADE ON DELETE RESTRICT;
--
-- TOC entry 2841 (class 2606 OID 18612)
-- Name: payment payment_customer_id_fkey; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.payment
ADD CONSTRAINT payment_customer_id_fkey FOREIGN KEY (customer_id) REFERENCES public.customer(customer_id) ON UPDATE CASCADE ON DELETE RESTRICT;
--
-- TOC entry 2842 (class 2606 OID 18617)
-- Name: payment payment_rental_id_fkey; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.payment
ADD CONSTRAINT payment_rental_id_fkey FOREIGN KEY (rental_id) REFERENCES public.rental(rental_id) ON UPDATE CASCADE ON DELETE SET NULL;
--
-- TOC entry 2843 (class 2606 OID 18622)
-- Name: payment payment_staff_id_fkey; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.payment
ADD CONSTRAINT payment_staff_id_fkey FOREIGN KEY (staff_id) REFERENCES public.staff(staff_id) ON UPDATE CASCADE ON DELETE RESTRICT;
--
-- TOC entry 2844 (class 2606 OID 18627)
-- Name: rental rental_customer_id_fkey; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.rental
ADD CONSTRAINT rental_customer_id_fkey FOREIGN KEY (customer_id) REFERENCES public.customer(customer_id) ON UPDATE CASCADE ON DELETE RESTRICT;
--
-- TOC entry 2845 (class 2606 OID 18632)
-- Name: rental rental_inventory_id_fkey; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.rental
ADD CONSTRAINT rental_inventory_id_fkey FOREIGN KEY (inventory_id) REFERENCES public.inventory(inventory_id) ON UPDATE CASCADE ON DELETE RESTRICT;
--
-- TOC entry 2846 (class 2606 OID 18637)
-- Name: rental rental_staff_id_key; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.rental
ADD CONSTRAINT rental_staff_id_key FOREIGN KEY (staff_id) REFERENCES public.staff(staff_id);
--
-- TOC entry 2847 (class 2606 OID 18642)
-- Name: staff staff_address_id_fkey; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.staff
ADD CONSTRAINT staff_address_id_fkey FOREIGN KEY (address_id) REFERENCES public.address(address_id) ON UPDATE CASCADE ON DELETE RESTRICT;
--
-- TOC entry 2848 (class 2606 OID 18647)
-- Name: store store_address_id_fkey; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.store
ADD CONSTRAINT store_address_id_fkey FOREIGN KEY (address_id) REFERENCES public.address(address_id) ON UPDATE CASCADE ON DELETE RESTRICT;
--
-- TOC entry 2849 (class 2606 OID 18652)
-- Name: store store_manager_staff_id_fkey; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY public.store
ADD CONSTRAINT store_manager_staff_id_fkey FOREIGN KEY (manager_staff_id) REFERENCES public.staff(staff_id) ON UPDATE CASCADE ON DELETE RESTRICT;
-- Completed on 2021-01-07 18:24:31
--
-- PostgreSQL database dump complete
--
|
-- Week 2 Lecture Notes
-- Generic SELECT Syntax to this point
-- SELECT <FieldList comma separated>
-- FROM <tablename>
-- WHERE <one or more conditions>
-- ORDER BY <field list, comma separated, ASC, DESC>
-- Example 1
SELECT *
FROM employees
WHERE SALARY >= 6000;
SELECT employee_id, first_name, last_name, hire_date ,job_id, salary
FROM employees
WHERE SALARY >= 6000;
SELECT employee_id, first_name, last_name, hire_date ,job_id, salary
FROM employees
WHERE SALARY >= 6000
ORDER BY Salary DESC;
-- Example 2 - strings
SELECT employee_id, first_name, last_name, job_id
FROM employees
WHERE last_name = 'Fay';
-- let's add wildcard
SELECT employee_id, first_name, last_name, job_id
FROM employees
WHERE last_name LIKE 'D%';
-- let's add wildcard
SELECT employee_id, first_name, last_name, job_id
FROM employees
WHERE last_name LIKE '%n';
-- let's add wildcard
SELECT employee_id, first_name, last_name, job_id
FROM employees
WHERE last_name LIKE '%n%';
-- DATES
-- give me all employees whom have been here since before 1990
SELECT employee_id, first_name, last_name, hire_date, job_id
FROM employees
WHERE hire_date < DATE '1990-04-01';
-- but this fails when wswoitching between canada and the USA
-- so we need to specify the format we want and lock it in.
SELECT employee_id, first_name, last_name, hire_date, job_id
FROM employees
WHERE hire_date < to_date('04011990', 'ddmmyyyy');
-- AND nad OR ORDER OF PRECEDENCE
SELECT employee_id, first_name AS "fname", last_name, job_id
FROM employees
ORDER BY "fname";
-- ORDER
-- for now
-- 1) FROM
-- 2) SELECT (fields and aliases)
-- 3) ORDER BY
-- 4) WHERE
-- BEDMAS
-- ORDER BY multiple Roiws
SELECT employee_id, first_name AS "fname", last_name, job_id
FROM employees
ORDER BY "fname", last_name DESC;
-- second sort only happens if first has duplicates
-- usingcolumn INDEXES
SELECT employee_id, last_name,first_name AS "fname", job_id
FROM employees
ORDER BY 2, 3 DESC; |
CREATE TABLE IF NOT EXISTS teams (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`name` VARCHAR(255) NOT NULL,
`created_at` DATETIME default NOW(),
`updated_at` DATETIME default NOW(),
PRIMARY KEY (`id`)
)
ENGINE=InnoDB
DEFAULT CHARSET=utf8;
CREATE INDEX teams_id_index USING BTREE ON teams (id);
|
-- Find the count of all the flights going to 'Paris'
|
-- Use Sakila db
USE sakila;
-- * 1a. Display the first and last names of all actors from the table `actor`.
--
SELECT
first_name, last_name
FROM
actor;
-- * 1b. Display the first and last name of each actor in a single column in upper case letters. Name the column `Actor Name`.
--
SELECT
UPPER(CONCAT(first_name, ' ', last_name)) AS 'Actor Name'
FROM
actor;
-- * 2a. You need to find the ID number, first name, and last name of an actor, of whom you know only the first name, "Joe."
-- What is one query would you use to obtain this information?
--
SELECT
actor_id, first_name, last_name
FROM
actor
WHERE
UPPER(first_name) = 'JOE';
-- * 2b. Find all actors whose last name contain the letters `GEN`:
--
SELECT
first_name, last_name
FROM
actor
WHERE
UPPER(last_name) LIKE '%GEN%';
-- * 2c. Find all actors whose last names contain the letters `LI`.
-- This time, order the rows by last name and first name, in that order:
--
SELECT
first_name, last_name
FROM
actor
WHERE
UPPER(last_name) LIKE '%LI%'
ORDER BY last_name , first_name;
-- * 2d. Using `IN`, display the `country_id` and `country` columns of the following countries:
-- Afghanistan, Bangladesh, and China:
--
SELECT
country_id, country
FROM
country
WHERE
country IN ('Afghanistan' , 'Bangladesh', 'China');
-- * 3a. You want to keep a description of each actor. You don't think you will be performing queries on a description,
-- so create a column in the table `actor` named `description` and use the data type `BLOB`
-- (Make sure to research the type `BLOB`, as the difference between it and `VARCHAR` are significant).
--
ALTER TABLE actor
ADD description BLOB;
-- * 3b. Very quickly you realize that entering descriptions for each actor is too much effort.
-- Delete the `description` column.
--
ALTER TABLE actor
DROP description;
-- * 4a. List the last names of actors, as well as how many actors have that last name.
--
SELECT
last_name, COUNT(last_name) AS count
FROM
actor
GROUP BY last_name;
-- * 4b. List last names of actors and the number of actors who have that last name,
-- but only for names that are shared by at least two actors
--
SELECT
last_name, COUNT(last_name) AS count
FROM
actor
GROUP BY last_name
HAVING COUNT(last_name) > 1;
-- * 4c. The actor `HARPO WILLIAMS` was accidentally entered in the `actor` table as `GROUCHO WILLIAMS`.
-- Write a query to fix the record.
--
UPDATE actor
SET
first_name = 'HARPO'
WHERE
first_name = 'GROUCHO'
AND last_name = 'WILLIAMS';
-- * 4d. Perhaps we were too hasty in changing `GROUCHO` to `HARPO`. It turns out that `GROUCHO` was the correct name
-- after all! In a single query, if the first name of the actor is currently `HARPO`, change it to `GROUCHO`.
--
UPDATE actor
SET
first_name = 'GROUCHO'
WHERE
first_name = 'HARPO';
-- * 5a. You cannot locate the schema of the `address` table. Which query would you use to re-create it?
-- * Hint: [https://dev.mysql.com/doc/refman/5.7/en/show-create-table.html](https://dev.mysql.com/doc/refman/5.7/en/show-create-table.html)
--
SHOW CREATE TABLE address;
-- * 6a. Use `JOIN` to display the first and last names, as well as the address, of each staff member.
-- Use the tables `staff` and `address`:
--
SELECT
s.first_name, s.last_name, a.address
FROM
address a
JOIN
staff s ON (a.address_id = s.address_id);
-- * 6b. Use `JOIN` to display the total amount rung up by each staff member in August of 2005.
-- Use tables `staff` and `payment`.
--
SELECT
s.first_name, s.last_name, SUM(p.amount) as total_amount
FROM
payment p
JOIN
staff s ON (p.staff_id = s.staff_id)
GROUP BY p.staff_id;
-- * 6c. List each film and the number of actors who are listed for that film.
-- Use tables `film_actor` and `film`. Use inner join.
--
SELECT
f.title, COUNT(a.actor_id) as num_actors
FROM
film_actor a
JOIN
film f ON (a.film_id = f.film_id)
GROUP BY f.film_id;
-- * 6d. How many copies of the film `Hunchback Impossible` exist in the inventory system?
--
SELECT
f.title, COUNT(i.inventory_id) AS inventory_copies
FROM
inventory i
JOIN
film f ON (i.film_id = f.film_id)
GROUP BY f.film_id
HAVING (LOWER(f.title) = 'hunchback impossible');
-- * 6e. Using the tables `payment` and `customer` and the `JOIN` command, list the total paid by each customer.
-- List the customers alphabetically by last name:
-- 
--
SELECT
c.first_name, c.last_name, SUM(p.amount) AS total_paid
FROM
payment p
JOIN
customer c ON (p.customer_id = c.customer_id)
GROUP BY p.customer_id
ORDER BY c.last_name;
-- * 7a. The music of Queen and Kris Kristofferson have seen an unlikely resurgence.
-- As an unintended consequence, films starting with the letters `K` and `Q` have also soared in popularity.
-- Use subqueries to display the titles of movies starting with the letters `K` and `Q` whose language is English.
--
SELECT
title
FROM
film
WHERE
((UPPER(title) LIKE 'K%')
OR (UPPER(title) LIKE 'Q%'))
AND language_id IN (SELECT
language_id
FROM
language
WHERE
LOWER(name) = 'english');
-- same using joins
SELECT
f.title
FROM
film f
JOIN
language l ON (f.language_id = l.language_id)
WHERE
(LOWER(l.name) = 'english')
AND ((UPPER(f.title) LIKE 'K%')
OR (UPPER(f.title) LIKE 'Q%'));
-- * 7b. Use subqueries to display all actors who appear in the film `Alone Trip`.
--
SELECT
first_name, last_name
FROM
actor
WHERE
actor_id IN (SELECT
actor_id
FROM
film_actor
WHERE
film_id IN (SELECT
film_id
FROM
film
WHERE
(LOWER(title) = 'alone trip')));
-- same using joins
SELECT
a.first_name, a.last_name
FROM
actor a
JOIN
film_actor fa
JOIN
film f ON ((fa.film_id = f.film_id)
AND (fa.actor_id = a.actor_id))
WHERE
(LOWER(f.title) = 'alone trip');
-- * 7c. You want to run an email marketing campaign in Canada,
-- for which you will need the names and email addresses of all Canadian customers. Use joins to retrieve this information.
--
SELECT
c.first_name, c.last_name, c.email
FROM
customer c
JOIN
address a
JOIN
city ct
JOIN
country cy ON ((c.address_id = a.address_id)
AND (a.city_id = ct.city_id)
AND (ct.country_id = cy.country_id))
WHERE
(LOWER(cy.country) = 'canada');
-- * 7d. Sales have been lagging among young families, and you wish to target all family movies for a promotion.
-- Identify all movies categorized as _family_ films.
--
SELECT
f.title
FROM
film f
JOIN
film_category fc
JOIN
category c ON ((f.film_id = fc.film_id)
AND (fc.category_id = c.category_id))
WHERE
(LOWER(c.name) = 'family');
-- * 7e. Display the most frequently rented movies in descending order.
--
SELECT
f.title, COUNT(r.rental_id) AS rental_count
FROM
rental r
JOIN
inventory i
JOIN
film f ON ((r.inventory_id = i.inventory_id)
AND (i.film_id = f.film_id))
GROUP BY f.film_id
ORDER BY rental_count DESC;
-- * 7f. Write a query to display how much business, in dollars, each store brought in.
--
SELECT
s.store_id, SUM(p.amount) AS total_business
FROM
store s
JOIN
inventory i
JOIN
rental r
JOIN
payment p ON ((s.store_id = i.store_id)
AND (i.inventory_id = r.inventory_id)
AND (r.rental_id = p.rental_id))
GROUP BY s.store_id;
-- * 7g. Write a query to display for each store its store ID, city, and country.
--
SELECT
s.store_id, ct.city, cy.country
FROM
store s
JOIN
address a
JOIN
city ct
JOIN
country cy ON ((s.address_id = a.address_id)
AND (a.city_id = ct.city_id)
AND (ct.country_id = cy.country_id));
-- * 7h. List the top five genres in gross revenue in descending order.
-- (**Hint**: you may need to use the following tables: category, film_category, inventory, payment, and rental.)
--
SELECT
c.name, SUM(p.amount) AS gross_revenue
FROM
category c
JOIN
film_category fc
JOIN
inventory i
JOIN
rental r
JOIN
payment p ON ((c.category_id = fc.category_id)
AND (fc.film_id = i.film_id)
AND (i.inventory_id = r.inventory_id)
AND (r.rental_id = p.rental_id))
GROUP BY c.category_id
ORDER BY gross_revenue DESC;
-- * 8a. In your new role as an executive, you would like to have an easy way of viewing the Top five genres by gross revenue.
-- Use the solution from the problem above to create a view.
-- If you haven't solved 7h, you can substitute another query to create a view.
--
CREATE VIEW top_five_genres AS
SELECT
c.name, SUM(p.amount) AS gross_revenue
FROM
category c
JOIN
film_category fc
JOIN
inventory i
JOIN
rental r
JOIN
payment p ON ((c.category_id = fc.category_id)
AND (fc.film_id = i.film_id)
AND (i.inventory_id = r.inventory_id)
AND (r.rental_id = p.rental_id))
GROUP BY c.category_id
ORDER BY gross_revenue DESC
LIMIT 5;
-- * 8b. How would you display the view that you created in 8a?
--
SELECT
*
FROM
top_five_genres;
-- * 8c. You find that you no longer need the view `top_five_genres`. Write a query to delete it.
DROP VIEW top_five_genres;
|
create or replace procedure AsignaturasCurso
(w_curso in asignaturas.curso%type)
as
begin
for rec in
(
select distinct oid_asig
from asignaturas
where (asignaturas.curso=w_curso)
)
loop
dbms_output.put_line(rec.oid_asig);
end loop;
end asignaturascurso; |
insert into Company values("ibm",125.2,"us");
insert into Company values("apple",101.3,"us");
insert into Company values("alibaba",72.78,"china");
insert into Company values("lenovo",6.52,"china");
insert into Company values("microsoft",50.71,"us");
insert into Product values("iphone 5",538.3,"cell phone","apple");
insert into Product values("iphone 6 ",600.8,"cell phone","apple");
insert into Product values("iphone 5s",400,"cell phone","apple");
insert into Product values("iphone 6 plus",700.53,"cell phone","apple");
insert into Product values("ms office 2010",300,"software","microsoft");
insert into Product values("ms office 2013",400,"software","microsoft");
insert into Product values("windows 10",300,"software","microsoft");
insert into Product values("thinkpad t450s",1200.3,"laptop","lenovo");
insert into Product values("thinkpad t460s",900,"laptop","lenovo");
insert into Product values("ideapad s50",500,"laptop","lenovo");
insert into Product values("thinkpad t460",800.5,"laptop","lenovo");
insert into Product values("db2 v9",43000,"software","ibm");
insert into Product values("information server",110000,"software","ibm");
insert into Product values("taobao",230000,"software","alibaba");
insert into Person values("mary","(323)138-8588","los angeles");
insert into Person values("john","(626)123-4586","san gabriel");
insert into Person values("david","(323)687-7022","los angeles");
insert into Person values("bill","(323)183-3838","los angeles");
insert into Person values("jennifer","(626)008-0006","alhambra");
insert into Person values("steve","(323)121-3838","alhambra");
insert into Person values("mark","(323)392-3838","los angeles");
insert into Purchase values("mary","john","Amazon","iphone 6");
insert into Purchase values("mary","david","Ebay","ms office 2013");
insert into Purchase values("mary","john","Amazon","thinkpad t460s");
insert into Purchase values("mary","david","Ebay","db2 v9");
insert into Purchase values("bill","john","Amazon","iphone 6");
insert into Purchase values("bill","john","Amazon","thinkpad t460s");
insert into Purchase values("bill","david","Ebay","ms office 2010");
insert into Purchase values("bill","david","Ebay","windows 10");
insert into Purchase values("bill","jennifer","Bestbuy","ideapad s50");
insert into Purchase values("mark","john","Amazon","iphone 5");
insert into Purchase values("mark","david","Amazon","ms office 2010");
insert into Purchase values("mark","david","Ebay","ms office 2013");
insert into Purchase values("mark","john","Amazon","db2 v9");
insert into Purchase values("mark","david","Ebay","information server");
insert into Purchase values("steve","john","Bestbuy","iphone 6");
insert into Purchase values("steve","david","Bestbuy","ms office 2013");
insert into Purchase values("steve","john","Bestbuy","thinkpad t460s");
insert into Purchase values("steve","david","Bestbuy","windows 10");
insert into Purchase values("steve","john","Bestbuy","iphone 5");
|
select user.name as name, count(user.name) as amount from mydb.photo_post join mydb.user
on photo_post.user_iduser = user.iduser
where photo_post.createdAt like '2019-05-09%'
group by user.name; |
insert into perusers
(username, password,
first_name, last_name,
bio, profile_pic,
user_email)
values
($1,$2,$3,$4,$5,$6,$7)
returning * |
use bnb_hive_db;
insert overwrite table bnb_data_coupon_date
partition(d='${zdt.addDay(-1).format("yyyy-MM-dd")}')
select a.uid as UId
, a.promotionid
, c.name
, a.startdate
, a.enddate
, a.createtime
, b.createdate as usedate
, b.orderid
from Dw_pubsharedb.factcoupon_BNB a
left join Dw_pubsharedb.FactCouponOrdDetail_BNB b on a.couponid = b.couponid
left join Dw_pubsharedb.factpromotion_BNB c on a.promotionid = c.promotionid
where to_date(a.startdate) <= '${zdt.addDay(0).format("yyyy-MM-dd")}'
and a.promotionid in (66644,
73292,
73291,
72772,
72770,
72769,
72767,
58887,
72232,
72230,
72229,
62273,
63137,
63135,
74814,
70810,
65477,
64622,
74880,
74834,
74733,
74255,
74254,
73293,
72169,
72168,
72064,
70693,
70692,
70691,
69099,
69098,
68744,
68741,
68739,
68195,
68193,
68192,
67459,
67458,
67455,
67248,
67247,
67245,
75190,
75165,
75163,
74836
)
---宫格统计
select *
from
(select
lql.promotionid,
lql.promotionname,
lql.date,
lql.lq,
syl.sy,
syl.sy/lql.lq as bl,
syl.yl,
syl.jlr
from
(select promotionid,
promotionname,
to_date(createtime) as date,
count(createtime) as lq
from bnb_hive_db.bnb_data_coupon_date
where d = "$effectdate('yyyy-MM-dd',-1)"
and to_date(createtime) >= "$effectdate('yyyy-MM-dd',-7)"
and promotionid in (73292,
73291,
72772,
72770,
72769,
72767,
72232,
72230,
72229,
74814)
group by promotionid, promotionname, to_date(createtime)) lql
left join
(select a.promotionid,
a.promotionname,
to_date(a.usedate) date,
count(a.usedate) as sy,
sum(b.orderamount-c.costamount) as yl,
sum(b.orderamount-c.costamount)/count(a.usedate) as jlr
from bnb_hive_db.bnb_data_coupon_date a
left join Dw_pubsharedb.FactCouponOrdDetail_BNB b
on a.couponID = b.orderid
left join ods_htl_bnborderdb.order_item c
on a.couponID = c.orderid and c.d = "$effectdate('yyyy-MM-dd',-1)"
where a.d = "$effectdate('yyyy-MM-dd',-1)"
and to_date(a.usedate) >= "$effectdate('yyyy-MM-dd',-7)"
and a.promotionid in (73292,
73291,
72772,
72770,
72769,
72767,
72232,
72230,
72229,
74814)
group by a.promotionid, a.promotionname, to_date(a.usedate)) syl
on lql.promotionid = syl.promotionid and lql.date=syl.date) tj
where tj.date <= "$effectdate('yyyy-MM-dd',-1)"
----非宫格统计
select *
from
(select
lql.promotionid,
lql.promotionname,
if((lql.promotionid in(70693,70692,70691,68195,68193,68192)),'超级会员',
if((lql.promotionid in(74880)),'攻略首页',
if((lql.promotionid in(73293)),'机票订单完成页',
if((lql.promotionid in(68744,68741,68739)),'积分商城',
if((lql.promotionid in(74255,74254,72169,72168,72064,75165,75163,74836)),'其他',
if((lql.promotionid in(62273,63137,63135,70810,65477,64622,69099,69098,67248,67247,67245)),'市场活动',
if((lql.promotionid in(67459,67458,67455)),'我的特权',
if((lql.promotionid in(74733)),'我携领券中心',
if((lql.promotionid in(74834)),'站内信推广',
if((lql.promotionid in(58887)),'众筹活动',
if((lql.promotionid in(75190)),'船票活动页','NULL'))))))))))) as source,
lql.date,
lql.lq,
syl.sy,
syl.sy/lql.lq as bl,
syl.yl,
syl.jlr
from
(select promotionid,
promotionname,
to_date(createtime) as date,
count(createtime) as lq
from bnb_hive_db.bnb_data_coupon_date
where d = "$effectdate('yyyy-MM-dd',-1)"
and to_date(createtime) >= "$effectdate('yyyy-MM-dd',-7)"
and promotionid in (70693,
70692,
70691,
68195,
68193,
68192,
74880,
73293,
68744,
68741,
68739,
74255,
74254,
72169,
72168,
72064,
62273,
63137,
63135,
70810,
65477,
64622,
69099,
69098,
67248,
67247,
67245,
67459,
67458,
67455,
74733,
74834,
58887)
group by promotionid, promotionname, to_date(createtime)) lql
left join
(select a.promotionid,
a.promotionname,
to_date(a.usedate) date,
count(a.usedate) as sy,
sum(b.orderamount-c.costamount) as yl,
sum(b.orderamount-c.costamount)/count(a.usedate) as jlr
from bnb_hive_db.bnb_data_coupon_date a
left join Dw_pubsharedb.FactCouponOrdDetail_BNB b
on a.couponID = b.orderid
left join ods_htl_bnborderdb.order_item c
on a.couponID = c.orderid and c.d = "$effectdate('yyyy-MM-dd',-1)"
where a.d = "$effectdate('yyyy-MM-dd',-1)"
and to_date(a.usedate) >= "$effectdate('yyyy-MM-dd',-7)"
and a.promotionid in (70693,
70692,
70691,
68195,
68193,
68192,
74880,
73293,
68744,
68741,
68739,
74255,
74254,
72169,
72168,
72064,
62273,
63137,
63135,
70810,
65477,
64622,
69099,
69098,
67248,
67247,
67245,
67459,
67458,
67455,
74733,
74834,
58887)
group by a.promotionid, a.promotionname, to_date(a.usedate)) syl
on lql.promotionid = syl.promotionid and lql.date=syl.date) tj
where tj.date <= "$effectdate('yyyy-MM-dd',-1)"
|
select distinct tf.* from ac_dis_fund_tx_acct c left join (
select distinct ab.cust_no,ab.cust_name,ab.id_no,ab.id_type,
ab.corp_acct_no,ab.corp_inst_code,ab.corp_acct_bind_stat,
t.outlet_code,t.dis_code,t.fund_tx_acct_no,t.cust_bank_id,t.pay_sign,t.fund_acct_stat
from (
select a.cust_no,a.cust_name,a.id_no,a.id_type,
b.corp_acct_no,b.corp_inst_code,b.corp_acct_bind_stat from ac_cust a right join ac_corp_acct_bind b
on a.cust_no = b.cust_no
)ab
right join
(
select tt.cust_no,tt.fund_tx_acct_no,tt.cust_bank_id,tt.pay_sign,
ff.fund_acct_stat,bb.*
from AC_DIS_BANK_CARD tt left join ac_fund_acct ff
on tt.fund_tx_acct_no = ff.fund_tx_acct_no
left join (
select u.dis_code,u.outlet_code
from BP_OUTLET u left join BP_DIS h
on u.dis_code = h.dis_code
where u.outlet_name = '理财通' --理财通用户
)bb
on tt.dis_code = bb.dis_code
where tt.is_valid = '1'
and ff.fund_acct_stat = '0' --ac_fund_acct 基金账号状态：正常
)t --AC_DIS_BANK_CARD 有效
on ab.cust_no = t.cust_no
-- and t.pay_sign = '2' --AC_DIS_BANK_CARD 代扣签约状态：已开通
--and t.bank_card_cancel_dt is null -- AC_DIS_BANK_CARD 银行卡注销日期为空
)tf
on tf.cust_no = c.cust_no
where
--ab.cust_name like 'walterwhite01' and
c.fund_tx_acct_stat = '0' and --开户正常
tf.corp_acct_bind_stat = '2' -- 已绑卡
select * from ac_dis_fund_tx_acct
select * from ac_dis_cust
select * from ac_corp_acct_bind
|
-- phpMyAdmin SQL Dump
-- version 4.1.14
-- http://www.phpmyadmin.net
--
-- Client : 127.0.0.1
-- Généré le : Lun 29 Février 2016 à 11:16
-- Version du serveur : 5.6.17
-- Version de PHP : 5.5.12
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8 */;
--
-- Base de données : `vollibre58`
--
-- --------------------------------------------------------
--
-- Structure de la table `talbums`
--
CREATE TABLE IF NOT EXISTS `talbums` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`titre` varchar(255) NOT NULL,
`url` varchar(255) DEFAULT NULL,
PRIMARY KEY (`id`)
) DEFAULT CHARSET=utf8;
-- --------------------------------------------------------
--
-- Structure de la table `talert`
--
CREATE TABLE IF NOT EXISTS `talert` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`date_deb` date NOT NULL,
`date_fin` date NOT NULL,
`titre` varchar(50) NOT NULL,
`description` text NOT NULL,
`id_membre` int(11) NOT NULL,
PRIMARY KEY (`id`)
) DEFAULT CHARSET=utf8;
-- --------------------------------------------------------
--
-- Structure de la table `tdisposition`
--
CREATE TABLE IF NOT EXISTS `tdisposition` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`libelle` varchar(100) NOT NULL,
`description` varchar(255) NOT NULL,
`nom` varchar(50) NOT NULL,
`url` varchar(255) NOT NULL,
PRIMARY KEY (`id`)
) DEFAULT CHARSET=utf8;
--
-- Contenu de la table `tdisposition`
--
INSERT INTO `tdisposition` (`id`, `libelle`, `description`, `nom`, `url`) VALUES
(1, 'standard', 'texte 1 au dessus, image au milieu, texte 2 en dessous', 'std', 'static/images/dispositionsArticles/01standard.png'),
(2, '3 images', 'texte 1 au dessus, 3 images au centre, la plus grande a gauche, texte 2 en dessous', '3pic', 'static/images/dispositionsArticles/02pictures3.png'),
(3, '3 images inversées', 'texte 1 au dessus, 3 images au centre, la plus grande a droite, texte 2 en dessous', '3pic-rev', 'static/images/dispositionsArticles/03pictures3_rev.png'),
(4, '2 images', 'texte 1 au dessus, 2 images au centre, texte 2 en dessous', '2pic', 'static/images/dispositionsArticles/04pictures2.png'),
(5, 'verticale gauche', 'image verticale a gauche, texte a droite', 'vert-left', 'static/images/dispositionsArticles/05verticalLeft.png'),
(6, 'verticale droite', 'image verticale a droite, texte a gauche', 'vert-right', 'static/images/dispositionsArticles/06verticalRight.png');
-- --------------------------------------------------------
--
-- Structure de la table `tevenements`
--
CREATE TABLE IF NOT EXISTS `tevenements` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`date` date NOT NULL,
`titre` varchar(50) NOT NULL,
`description` text NOT NULL,
`id_membre` int(11) NOT NULL,
PRIMARY KEY (`id`)
) DEFAULT CHARSET=utf8;
-- --------------------------------------------------------
--
-- Structure de la table `tgrade`
--
CREATE TABLE IF NOT EXISTS `tgrade` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`libelle` varchar(100) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=5 ;
--
-- Contenu de la table `tgrade`
--
INSERT INTO `tgrade` (`id`, `libelle`) VALUES
(1, 'administrateur'),
(2, 'moderateur'),
(3, 'redacteur'),
(4, 'membre');
-- --------------------------------------------------------
--
-- Structure de la table `timages`
--
CREATE TABLE IF NOT EXISTS `timages` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`chemin` varchar(255) NOT NULL,
`id_news` int(11) NOT NULL,
PRIMARY KEY (`id`)
) DEFAULT CHARSET=utf8;
-- --------------------------------------------------------
--
-- Structure de la table `tmembre`
--
CREATE TABLE IF NOT EXISTS `tmembre` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`pseudo` varchar(50) NOT NULL,
`motDePasse` varchar(255) NOT NULL,
`email` varchar(255) NOT NULL,
`id_grade` int(11) NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `pseudo` (`pseudo`)
) DEFAULT CHARSET=utf8;
--
-- Contenu de la table `tmembre`
--
INSERT INTO `tmembre` VALUES (1, 'admin', '21232f297a57a5a743894a0e4a801fc3', 'admin@example.com', 1);
-- --------------------------------------------------------
--
-- Structure de la table `tmessage`
--
CREATE TABLE IF NOT EXISTS `tmessage` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`mailDestinataire` varchar(255) NOT NULL,
`objet` varchar(255) NOT NULL,
`message` text NOT NULL,
PRIMARY KEY (`id`)
) DEFAULT CHARSET=utf8;
-- --------------------------------------------------------
--
-- Structure de la table `tnews`
--
CREATE TABLE IF NOT EXISTS `tnews` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`titre` varchar(50) NOT NULL,
`texte` text NOT NULL,
`date` date NOT NULL,
`id_membre` int(11) NOT NULL,
`id_disposition` int(11) NOT NULL DEFAULT '1',
`texte2` text,
PRIMARY KEY (`id`)
) DEFAULT CHARSET=utf8;
-- --------------------------------------------------------
--
-- Structure de la table `tvideo_accueil`
--
CREATE TABLE IF NOT EXISTS `tvideo_accueil` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`chemin` varchar(255) NOT NULL,
PRIMARY KEY (`id`)
) DEFAULT CHARSET=utf8;
--
-- Contenu de la table `tvideo_accueil`
--
INSERT INTO `tvideo_accueil` (`id`, `chemin`) VALUES
(1, 'https://www.youtube.com/embed/JW2ShQsMFEk');
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
CREATE procedure sp_acc_prn_cus_depositchequedetail (@depositid int)
as
select distinct
"Party Name" =
case
when Collections.CustomerID is Not NULL then
(Select Company_Name from Customer where CustomerID=Collections.CustomerID)
else
(
case when ISNULL(Others,0) <> 0 then dbo.getaccountname(Others)
else dbo.getaccountname(ExpenseAccount)
end
)
end,
"Bank Name" = Bankmaster.BankName,
"Branch Name" = BranchMaster.BranchName,
"Value" = collections.value,
"Cheque Number" = collections.ChequeNumber
from collections, Bankmaster, BranchMaster
where collections.depositid = @depositid
and BankMaster.BankCode = BranchMaster.BankCode
and Collections.BranchCode = BranchMaster.BranchCode
and Collections.BankCode = BankMaster.BankCode
|
drop table if exists tb_attachment CASCADE;
drop table if exists tb_notice CASCADE;
drop table if exists tb_user CASCADE;
create table tb_attachment (
att_id varchar(50) not null,
created_by varchar(50),
created_dt timestamp,
modified_by varchar(50),
modified_dt timestamp,
content_type varchar(30),
download_cnt bigint,
file_nm varchar(50),
file_size bigint,
saved_file_dir varchar(100),
notice_id varchar(50),
primary key (att_id)
);
create table tb_notice (
notice_id varchar(50) not null,
created_by varchar(50),
created_dt timestamp,
modified_by varchar(50),
modified_dt timestamp,
content clob,
read_cnt bigint,
title varchar(50),
user_id varchar(50),
primary key (notice_id)
);
create table tb_user (
user_id varchar(50) not null,
created_by varchar(50),
created_dt timestamp,
modified_by varchar(50),
modified_dt timestamp,
email varchar(30) not null,
enabled boolean default 0 not null,
name varchar(20) not null,
password varchar(100) not null,
role varchar(15) not null,
primary key (user_id)
);
alter table tb_user
drop constraint if exists UK_4vih17mube9j7cqyjlfbcrk4m;
alter table tb_user
add constraint UK_4vih17mube9j7cqyjlfbcrk4m unique (email);
alter table tb_attachment
add constraint FKrdqrnxaloq5fm51so1asa2uuo
foreign key (notice_id)
references tb_notice;
alter table tb_notice
add constraint FKk13e5la5lb855d9agsf9lgsn4
foreign key (user_id)
references tb_user
on delete cascade; |
# normalize post blocks, calculate normalized line count, calculate fingerprint of normalized content
SELECT
Id,
PostBlockTypeId,
PostId,
PostTypeId,
ParentId,
CreationDate,
LineCount,
LineCountNormalized,
FARM_FINGERPRINT(ContentNormalized) AS ContentNormalizedHash,
Content,
ContentNoEmptyLines,
ContentNormalized
FROM (
SELECT
Id,
PostBlockTypeId,
PostId,
PostTypeId,
ParentId,
CreationDate,
LineCount,
ARRAY_LENGTH(SPLIT(ContentNoEmptyLines, '
')) AS LineCountNormalized,
Content,
ContentNoEmptyLines,
REGEXP_REPLACE(ContentNoEmptyLines, r'\s|(
)|(
)|[^a-zA-Z0-9]', '') AS ContentNormalized
FROM (
SELECT
pbv.Id AS Id,
PostBlockTypeId,
PostId,
PostTypeId,
CASE
WHEN ParentId IS NULL THEN PostId
ELSE ParentId
END AS ParentId,
CreationDate,
LineCount,
Content,
REGEXP_REPLACE(REGEXP_REPLACE(REGEXP_REPLACE(Content,
r'\s*[()[\]{}]+\s*
\s*
\s*', ''), # remove lines only containing brackets
r'(\s*
\s*
\s*)+', '
'), # normalize new lines
r'(\s*
\s*
\s*)+$', '') # remove new lines in last line
AS ContentNoEmptyLines
FROM
`sotorrent-org.2018_09_23.PostBlockVersion` pbv
JOIN
`sotorrent-org.2018_09_23.Posts` p
ON
pbv.PostId = p.Id
WHERE
PostHistoryId = (
SELECT
MAX(PostHistoryId)
FROM
`sotorrent-org.2018_09_23.PostVersion` pv
WHERE
pv.PostId = pbv.PostId
)
)
);
=> sotorrent-extension.2018_09_23.MostRecentPostBlockVersionNormalized
# count distinct code blocks
SELECT COUNT(DISTINCT(ContentNormalizedHash))
FROM `sotorrent-extension.2018_09_23.MostRecentPostBlockVersionNormalized`
WHERE PostBlockTypeId = 2;
# 43,942,960
# count clones
SELECT
ContentNormalizedHash,
PostBlockTypeId,
STRING_AGG(CAST(PostId AS STRING), ' ') AS PostIds,
MIN(LineCountNormalized) AS LineCount,
COUNT(DISTINCT ParentId) AS ThreadCount,
ContentNormalized
FROM
`sotorrent-extension.2018_09_23.MostRecentPostBlockVersionNormalized`
GROUP BY
ContentNormalizedHash, ContentNormalized, PostBlockTypeId;
=> sotorrent-extension.2018_09_23.MostRecentPostBlockVersionNormalizedClones
# count distinct code blocks present in at least two threads
SELECT COUNT(DISTINCT(ContentNormalizedHash))
FROM `sotorrent-extension.2018_09_23.MostRecentPostBlockVersionNormalizedClones`
WHERE PostBlockTypeId = 2 AND ThreadCount > 1;
# 909,323
# copy clones without content (for export)
SELECT
ContentNormalizedHash,
PostBlockTypeId,
PostIds,
LineCount,
ThreadCount
FROM
`sotorrent-extension.2018_09_23.MostRecentPostBlockVersionNormalizedClones`;
=> sotorrent-extension.2018_09_23.MostRecentPostBlockVersionNormalizedClonesExport
# retrieve initial sample for web visualization
SELECT
ContentNormalizedHash,
PostId,
PostTypeId,
ParentId,
CreationDate
FROM
`sotorrent-extension.2018_09_23.MostRecentPostBlockVersionNormalized`
WHERE
ContentNormalizedHash IN (
SELECT
ContentNormalizedHash
FROM
`sotorrent-extension.2018_09_23.MostRecentPostBlockVersionNormalizedClones`
WHERE
PostBlockTypeId = 2 AND LineCount > 5 AND ThreadCount >= 10
)
ORDER BY ContentNormalizedHash, CreationDate, PostId;
=> sotorrent-extension.2018_09_23.CodeClonesSample
# retrieve data for inital sample
SELECT
ContentNormalizedHash,
ARRAY_LENGTH(SPLIT(Content, '
')) AS LineCount,
ThreadCount,
Content
FROM (
SELECT
clones.ContentNormalizedHash AS ContentNormalizedHash,
MIN(Content) as Content,
MAX(ThreadCount) as ThreadCount
FROM
`sotorrent-extension.2018_09_23.MostRecentPostBlockVersionNormalized` post_blocks
JOIN
`sotorrent-extension.2018_09_23.MostRecentPostBlockVersionNormalizedClones` clones
ON
post_blocks.ContentNormalizedHash = clones.ContentNormalizedHash
WHERE
clones.PostBlockTypeId = 2 AND clones.LineCount > 5 AND ThreadCount >= 10
GROUP BY ContentNormalizedHash
);
=> sotorrent-extension.2018_09_23.CodeClonesSampleData
# retrieve second sample for web visualization
SELECT
ContentNormalizedHash,
PostId,
PostTypeId,
ParentId,
CreationDate
FROM
`sotorrent-extension.2018_09_23.MostRecentPostBlockVersionNormalized`
WHERE
ContentNormalizedHash IN (
SELECT
ContentNormalizedHash
FROM
`sotorrent-extension.2018_09_23.MostRecentPostBlockVersionNormalizedClones`
WHERE
PostBlockTypeId = 2 AND LineCount >= 20 AND ThreadCount >= 5
)
ORDER BY ContentNormalizedHash, CreationDate, PostId;
=> sotorrent-extension.2018_09_23.CodeClonesSample2
# retrieve data for second sample
SELECT
ContentNormalizedHash,
ARRAY_LENGTH(SPLIT(Content, '
')) AS LineCount,
ThreadCount,
Content
FROM (
SELECT
clones.ContentNormalizedHash AS ContentNormalizedHash,
MIN(Content) as Content,
MAX(ThreadCount) as ThreadCount
FROM
`sotorrent-extension.2018_09_23.MostRecentPostBlockVersionNormalized` post_blocks
JOIN
`sotorrent-extension.2018_09_23.MostRecentPostBlockVersionNormalizedClones` clones
ON
post_blocks.ContentNormalizedHash = clones.ContentNormalizedHash
WHERE
clones.PostBlockTypeId = 2 AND clones.LineCount >= 20 AND ThreadCount >= 5
GROUP BY ContentNormalizedHash
);
=> sotorrent-extension.2018_09_23.CodeClonesSample2Data
# Retrieve links from posts containing clones (second sample)
SELECT
ContentNormalizedHash,
clones.PostId,
PostTypeId,
ParentId,
RootDomain,
CompleteDomain,
Url
FROM
`sotorrent-org.2018_09_23.PostVersionUrl` post_version_url
JOIN
`sotorrent-extension.2018_09_23.CodeClonesSample2` clones
ON
post_version_url.PostId = clones.PostId
WHERE
PostHistoryId = (
SELECT
MAX(PostHistoryId)
FROM
`sotorrent-org.2018_09_23.PostVersion` pv
WHERE
pv.PostId = post_version_url.PostId
);
=> sotorrent-extension.2018_09_23.CodeClonesSample2Links
# Retrieve and normalize SO links (second sample)
SELECT
ContentNormalizedHash,
PostId,
PostTypeId,
ParentId,
REGEXP_EXTRACT(Url, r'https:\/\/stackoverflow\.com\/(?:a|q)\/([\d]+)') AS LinkedPostId,
CASE
WHEN REGEXP_CONTAINS(Url, r'https:\/\/stackoverflow\.com\/q') THEN 1
WHEN REGEXP_CONTAINS(Url, r'https:\/\/stackoverflow\.com\/a') THEN 2
ELSE NULL
END AS LinkedPostTypeId,
Url
FROM (
SELECT
ContentNormalizedHash,
PostId,
PostTypeId,
ParentId,
CASE
WHEN REGEXP_CONTAINS(Url, r'(https:\/\/stackoverflow\.com\/a\/[\d]+)')
THEN REGEXP_EXTRACT(Url, r'(https:\/\/stackoverflow\.com\/a\/[\d]+)')
WHEN REGEXP_CONTAINS(Url, r'(https:\/\/stackoverflow\.com\/q\/[\d]+)')
THEN REGEXP_EXTRACT(Url, r'(https:\/\/stackoverflow\.com\/q\/[\d]+)')
WHEN REGEXP_CONTAINS(Url, r'https:\/\/stackoverflow\.com\/questions\/[\d]+\/[^\s\/\#]+(?:\/|\#)([\d]+)')
THEN CONCAT("https://stackoverflow.com/a/", REGEXP_EXTRACT(Url, r'https:\/\/stackoverflow\.com\/questions\/[\d]+\/[^\s\/\#]+(?:\/|\#)([\d]+)'))
WHEN REGEXP_CONTAINS(Url, r'(https:\/\/stackoverflow\.com\/questions\/[\d]+)')
THEN CONCAT("https://stackoverflow.com/q/", REGEXP_EXTRACT(Url, r'https:\/\/stackoverflow\.com\/questions\/([\d]+)'))
ELSE Url
END AS Url
FROM (
SELECT
ContentNormalizedHash,
PostId,
PostTypeId,
ParentId,
REGEXP_REPLACE(LOWER(Url), r'^http:', 'https:') AS Url
FROM
`sotorrent-extension.2018_09_23.CodeClonesSample2Links`
WHERE
RootDomain = "stackoverflow.com"
)
);
=> sotorrent-extension.2018_09_23.CodeClonesSample2LinksSO
# Retrieve external links (second sample)
SELECT
ContentNormalizedHash,
clones.PostId as PostId,
PostTypeId,
ParentId,
RootDomain,
CompleteDomain,
Url
FROM
`sotorrent-org.2018_09_23.PostVersionUrl` post_version_url
JOIN
`sotorrent-extension.2018_09_23.CodeClonesSample2` clones
ON
post_version_url.PostId = clones.PostId
WHERE
PostHistoryId = (
SELECT
MAX(PostHistoryId)
FROM
`sotorrent-org.2018_09_23.PostVersion` pv
WHERE
pv.PostId = post_version_url.PostId
)
AND RootDomain <> "stackoverflow.com";
=> sotorrent-extension.2018_09_23.CodeClonesSample2LinksNonSO
# Count SO links per code block hash
SELECT ContentNormalizedHash, LinkedPostId, LinkedPostTypeId, COUNT(PostId) AS PostCount
FROM `sotorrent-extension.2018_09_23.CodeClonesSample2LinksSO`
WHERE LinkedPostId IS NOT NULL
GROUP BY ContentNormalizedHash, LinkedPostId, LinkedPostTypeId;
=> sotorrent-extension.2018_09_23.CodeClonesSample2LinksSOExport
# Count non-SO links per code block hash
SELECT ContentNormalizedHash, Url, COUNT(PostId) AS PostCount
FROM `sotorrent-extension.2018_09_23.CodeClonesSample2Links`
WHERE RootDomain <> "stackoverflow.com"
GROUP BY ContentNormalizedHash, Url;
=> sotorrent-extension.2018_09_23.CodeClonesSample2LinksNonSOExport
# How many posts contain links to other SO posts?
SELECT COUNT(DISTINCT PostId) FROM `sotorrent-extension.2018_09_23.CodeClonesSample2`;
# 7,375
SELECT COUNT(DISTINCT PostId) FROM `sotorrent-extension.2018_09_23.CodeClonesSample2LinksSO` WHERE LinkedPostId IS NOT NULL;
# 413 (5.6%)
# ...and to external domains?
SELECT COUNT(DISTINCT PostId) FROM `sotorrent-extension.2018_09_23.CodeClonesSample2LinksNonSO`;
# 3,071 (41.6%)
# either SO or external
SELECT COUNT(DISTINCT PostId)
FROM (
SELECT DISTINCT PostId FROM `sotorrent-extension.2018_09_23.CodeClonesSample2LinksSO` WHERE LinkedPostId IS NOT NULL
UNION DISTINCT
SELECT DISTINCT PostId FROM `sotorrent-extension.2018_09_23.CodeClonesSample2LinksNonSO`
);
# 3,304 (44.8%)
# both SO and external
SELECT COUNT(*) FROM
(SELECT DISTINCT PostId FROM `sotorrent-extension.2018_09_23.CodeClonesSample2LinksSO` WHERE LinkedPostId IS NOT NULL) so
JOIN
(SELECT DISTINCT PostId FROM `sotorrent-extension.2018_09_23.CodeClonesSample2LinksNonSO`) external
ON so.PostId = external.PostId;
# 180 (2.4%)
###################
### ICSME paper ###
###################
# retrieve second code snippet sample described in paper (see also R script "clones.R")
SELECT *
FROM `sotorrent-extension.2018_09_23.MostRecentPostBlockVersionNormalizedClones`
WHERE PostBlockTypeId = 2 AND ThreadCount > 1 AND LineCount >= 20;
=> sotorrent-extension.2018_09_23.MostRecentCodeBlockVersionNormalizedClonesFiltered
SELECT COUNT(*)
FROM `sotorrent-extension.2018_09_23.MostRecentCodeBlockVersionNormalizedClonesFiltered`;
# 46,818
# Retrieve question tags and other metadata to be able to compare programming languages
SELECT
filtered_code_blocks_2.PostId,
filtered_code_blocks_2.PostTypeId,
filtered_code_blocks_2.ParentId,
PostBlockTypeId,
filtered_code_blocks_2.OwnerUserId,
filtered_code_blocks_2.OwnerDisplayName,
filtered_code_blocks_2.CreationDate,
LineCount,
filtered_code_blocks_2.Score,
Tags,
LineCountNormalized,
ContentNormalizedHash,
Content,
ContentNoEmptyLines,
ContentNormalized
FROM (
SELECT
filtered_code_blocks.PostId,
filtered_code_blocks.PostTypeId,
filtered_code_blocks.ParentId,
PostBlockTypeId,
OwnerUserId,
OwnerDisplayName,
filtered_code_blocks.CreationDate,
LineCount,
Score,
LineCountNormalized,
ContentNormalizedHash,
Content,
ContentNoEmptyLines,
ContentNormalized
FROM (
SELECT code_blocks.*
FROM `sotorrent-extension.2018_09_23.MostRecentPostBlockVersionNormalized` code_blocks
JOIN `sotorrent-extension.2018_09_23.MostRecentCodeBlockVersionNormalizedClonesFiltered` filter
ON code_blocks.ContentNormalizedHash = filter.ContentNormalizedHash
) filtered_code_blocks
JOIN `sotorrent-org.2018_09_23.Posts` posts
ON filtered_code_blocks.PostId = posts.Id
) filtered_code_blocks_2
JOIN `sotorrent-org.2018_09_23.Posts` posts_2
ON filtered_code_blocks_2.ParentId = posts_2.Id;
=> sotorrent-extension.2018_09_23.CodeBlocksComparison
SELECT Tag, COUNT(DISTINCT ParentId) AS ThreadCount
FROM `sotorrent-extension.2018_09_23.CodeBlocksComparison`
CROSS JOIN UNNEST(REGEXP_EXTRACT_ALL(Tags, r'<([^>]+)>')) AS Tag
GROUP BY Tag
ORDER BY ThreadCount DESC;
=> sotorrent-extension.2018_09_23.CodeBlocksComparisonTagFrequency
# Tags selected in CodeBlocksComparisonTagFrequency.ods
SELECT
ContentNormalizedHash,
COUNT(DISTINCT ParentId) AS ThreadCount,
COUNT(DISTINCT PostId) AS PostCount,
STRING_AGG(CAST(ParentId AS String), ";") AS ParentIds,
STRING_AGG(CAST(PostId AS String), ";") AS PostIds,
STRING_AGG(OwnerUserId, ";") AS OwnerUserIds,
STRING_AGG(OwnerDisplayName, ";") AS OwnerDisplayNames,
STRING_AGG(CAST(CreationDate AS String), ";") AS CreationDates,
STRING_AGG(CAST(Score AS String), ";") AS Scores,
ARRAY_LENGTH(SPLIT(MIN(Content), '
')) AS LineCount,
LOGICAL_OR(Java) AS Java,
LOGICAL_OR(JavaScript) AS JavaScript,
LOGICAL_OR(PHP) AS PHP,
LOGICAL_OR(HTMLCSS) AS HTMLCSS,
LOGICAL_OR(CSharp) AS CSharp,
LOGICAL_OR(Python) AS Python,
LOGICAL_OR(SQL) AS SQL,
LOGICAL_OR(Swift) AS Swift,
LOGICAL_OR(CPP) AS CPP,
LOGICAL_OR(ObjectiveC) AS ObjectiveC,
LOGICAL_OR(C) AS C,
LOGICAL_OR(Ruby) AS Ruby,
LOGICAL_OR(VBA) AS VBA,
LOGICAL_OR(R) AS R,
MIN(Content) AS Content
FROM (
SELECT
ContentNormalizedHash,
PostId,
ParentId,
CASE
WHEN OwnerUserId IS NULL THEN "N/A"
ELSE CAST(OwnerUserId AS String)
END AS OwnerUserId,
CASE
WHEN OwnerDisplayName IS NULL THEN "N/A"
ELSE CAST(OwnerDisplayName AS String)
END AS OwnerDisplayName,
CreationDate,
Score,
LineCount,
REGEXP_CONTAINS(Tags, r'<(java|spring|swing|spring-mvc|hibernate)>') AS Java,
REGEXP_CONTAINS(Tags, r'<(javascript|jquery|json|angularjs|node\.js)>') AS JavaScript,
REGEXP_CONTAINS(Tags, r'<(php)>') AS PHP,
REGEXP_CONTAINS(Tags, r'<(html|css|html5|css3)>') AS HTMLCSS,
REGEXP_CONTAINS(Tags, r'<(c#|asp\.net|asp\.net-mvc)>') AS CSharp,
REGEXP_CONTAINS(Tags, r'<(python|django)>') AS Python,
REGEXP_CONTAINS(Tags, r'<(mysql|sql)>') AS SQL,
REGEXP_CONTAINS(Tags, r'<(swift)>') AS Swift,
REGEXP_CONTAINS(Tags, r'<(c\+\+)>') AS CPP,
REGEXP_CONTAINS(Tags, r'<(objective-c)>') AS ObjectiveC,
REGEXP_CONTAINS(Tags, r'<(c)>') AS C,
REGEXP_CONTAINS(Tags, r'<(ruby)>') AS Ruby,
REGEXP_CONTAINS(Tags, r'<(vba|excel-vba)>') AS VBA,
REGEXP_CONTAINS(Tags, r'<(r)>') AS R,
Content
FROM `sotorrent-extension.2018_09_23.CodeBlocksComparison` cb
WHERE REGEXP_CONTAINS(Tags, r'<(javascript|java|php|jquery|html|c#|css|python|json|mysql|c\+\+|ruby-on-rails|sql|asp\.net|angularjs|objective-c|spring|vba|c|node\.js|html5|angular|ruby|excel-vba|swing|asp\.net-mvc|css3|spring-mvc|swift|r|django|hibernate)>')
)
GROUP BY ContentNormalizedHash
HAVING ThreadCount > 1;
=> sotorrent-extension.2018_09_23.CodeBlocksComparisonFiltered
# Retrieve links from posts containing clones (third sample)
SELECT
ContentNormalizedHash,
clones.PostId,
PostTypeId,
ParentId,
RootDomain,
CompleteDomain,
Url
FROM
`sotorrent-org.2018_09_23.PostVersionUrl` post_version_url
JOIN
`sotorrent-extension.2018_09_23.CodeBlocksComparison` clones
ON
post_version_url.PostId = clones.PostId
WHERE
PostHistoryId = (
SELECT
MAX(PostHistoryId)
FROM
`sotorrent-org.2018_09_23.PostVersion` pv
WHERE
pv.PostId = post_version_url.PostId
);
=> sotorrent-extension.2018_09_23.CodeBlocksComparisonLinks
# Retrieve and normalize SO links (third sample)
SELECT
ContentNormalizedHash,
PostId,
PostTypeId,
ParentId,
REGEXP_EXTRACT(Url, r'https:\/\/stackoverflow\.com\/(?:a|q)\/([\d]+)') AS LinkedPostId,
CASE
WHEN REGEXP_CONTAINS(Url, r'https:\/\/stackoverflow\.com\/q') THEN 1
WHEN REGEXP_CONTAINS(Url, r'https:\/\/stackoverflow\.com\/a') THEN 2
ELSE NULL
END AS LinkedPostTypeId,
Url
FROM (
SELECT
ContentNormalizedHash,
PostId,
PostTypeId,
ParentId,
CASE
WHEN REGEXP_CONTAINS(Url, r'(https:\/\/stackoverflow\.com\/a\/[\d]+)')
THEN REGEXP_EXTRACT(Url, r'(https:\/\/stackoverflow\.com\/a\/[\d]+)')
WHEN REGEXP_CONTAINS(Url, r'(https:\/\/stackoverflow\.com\/q\/[\d]+)')
THEN REGEXP_EXTRACT(Url, r'(https:\/\/stackoverflow\.com\/q\/[\d]+)')
WHEN REGEXP_CONTAINS(Url, r'https:\/\/stackoverflow\.com\/questions\/[\d]+\/[^\s\/\#]+(?:\/|\#)([\d]+)')
THEN CONCAT("https://stackoverflow.com/a/", REGEXP_EXTRACT(Url, r'https:\/\/stackoverflow\.com\/questions\/[\d]+\/[^\s\/\#]+(?:\/|\#)([\d]+)'))
WHEN REGEXP_CONTAINS(Url, r'(https:\/\/stackoverflow\.com\/questions\/[\d]+)')
THEN CONCAT("https://stackoverflow.com/q/", REGEXP_EXTRACT(Url, r'https:\/\/stackoverflow\.com\/questions\/([\d]+)'))
ELSE Url
END AS Url
FROM (
SELECT
ContentNormalizedHash,
PostId,
PostTypeId,
ParentId,
REGEXP_REPLACE(LOWER(Url), r'^http:', 'https:') AS Url
FROM
`sotorrent-extension.2018_09_23.CodeBlocksComparisonLinks`
WHERE
RootDomain = "stackoverflow.com"
)
);
=> sotorrent-extension.2018_09_23.CodeBlocksComparisonLinksSO
# Retrieve external links (third sample)
SELECT
ContentNormalizedHash,
clones.PostId as PostId,
PostTypeId,
ParentId,
RootDomain,
CompleteDomain,
Url
FROM
`sotorrent-org.2018_09_23.PostVersionUrl` post_version_url
JOIN
`sotorrent-extension.2018_09_23.CodeBlocksComparison` clones
ON
post_version_url.PostId = clones.PostId
WHERE
PostHistoryId = (
SELECT
MAX(PostHistoryId)
FROM
`sotorrent-org.2018_09_23.PostVersion` pv
WHERE
pv.PostId = post_version_url.PostId
)
AND RootDomain <> "stackoverflow.com";
=> sotorrent-extension.2018_09_23.CodeBlocksComparisonLinksNonSO
# Count SO links per code block hash
SELECT ContentNormalizedHash, LinkedPostId, LinkedPostTypeId, COUNT(PostId) AS PostCount
FROM `sotorrent-extension.2018_09_23.CodeBlocksComparisonLinksSO`
WHERE LinkedPostId IS NOT NULL
GROUP BY ContentNormalizedHash, LinkedPostId, LinkedPostTypeId;
=> sotorrent-extension.2018_09_23.CodeBlocksComparisonLinksSOExport
# Count non-SO links per code block hash
SELECT ContentNormalizedHash, Url, COUNT(PostId) AS PostCount
FROM `sotorrent-extension.2018_09_23.CodeBlocksComparisonLinks`
WHERE RootDomain <> "stackoverflow.com"
GROUP BY ContentNormalizedHash, Url;
=> sotorrent-extension.2018_09_23.CodeBlocksComparisonLinksNonSOExport
# get links for all filtered code block hashes
SELECT
ContentNormalizedHash,
selected_posts.PostId as PostId,
ParentId,
PostTypeId,
PostHistoryId,
Url,
RootDomain,
CompleteDomain,
Path,
Query,
FragmentIdentifier
FROM (
SELECT ContentNormalizedHash, PostId, ParentId, PostTypeId
FROM `sotorrent-org.2019_03_17.Posts` posts
JOIN (
SELECT ContentNormalizedHash, CAST(PostId AS INT64) as PostId
FROM `sotorrent-extension.2018_09_23.CodeBlocksComparisonFiltered`
CROSS JOIN UNNEST(SPLIT(PostIds, ";")) AS PostId
) sample
ON posts.Id = sample.PostId
) selected_posts
JOIN `sotorrent-org.2019_03_17.PostVersionUrl` links
ON selected_posts.PostId = links.PostId
WHERE
PostHistoryId = (
SELECT
MAX(PostHistoryId)
FROM
`sotorrent-org.2018_09_23.PostVersion` pv
WHERE
pv.PostId = selected_posts.PostId
);
=> sotorrent-extension.2018_09_23.CodeBlocksComparisonFilteredLinks
# Retrieve and normalize SO links (filtered code blocks)
SELECT
ContentNormalizedHash,
PostId,
PostTypeId,
ParentId,
REGEXP_EXTRACT(Url, r'https:\/\/stackoverflow\.com\/(?:a|q)\/([\d]+)') AS LinkedPostId,
CASE
WHEN REGEXP_CONTAINS(Url, r'https:\/\/stackoverflow\.com\/q') THEN 1
WHEN REGEXP_CONTAINS(Url, r'https:\/\/stackoverflow\.com\/a') THEN 2
ELSE NULL
END AS LinkedPostTypeId,
Url
FROM (
SELECT
ContentNormalizedHash,
PostId,
PostTypeId,
ParentId,
CASE
WHEN REGEXP_CONTAINS(Url, r'(https:\/\/stackoverflow\.com\/a\/[\d]+)')
THEN REGEXP_EXTRACT(Url, r'(https:\/\/stackoverflow\.com\/a\/[\d]+)')
WHEN REGEXP_CONTAINS(Url, r'(https:\/\/stackoverflow\.com\/q\/[\d]+)')
THEN REGEXP_EXTRACT(Url, r'(https:\/\/stackoverflow\.com\/q\/[\d]+)')
WHEN REGEXP_CONTAINS(Url, r'https:\/\/stackoverflow\.com\/questions\/[\d]+\/[^\s\/\#]+(?:\/|\#)([\d]+)')
THEN CONCAT("https://stackoverflow.com/a/", REGEXP_EXTRACT(Url, r'https:\/\/stackoverflow\.com\/questions\/[\d]+\/[^\s\/\#]+(?:\/|\#)([\d]+)'))
WHEN REGEXP_CONTAINS(Url, r'(https:\/\/stackoverflow\.com\/questions\/[\d]+)')
THEN CONCAT("https://stackoverflow.com/q/", REGEXP_EXTRACT(Url, r'https:\/\/stackoverflow\.com\/questions\/([\d]+)'))
ELSE Url
END AS Url
FROM (
SELECT
ContentNormalizedHash,
PostId,
PostTypeId,
ParentId,
REGEXP_REPLACE(LOWER(Url), r'^http:', 'https:') AS Url
FROM
`sotorrent-extension.2018_09_23.CodeBlocksComparisonFilteredLinks`
WHERE
RootDomain = "stackoverflow.com"
)
);
=> sotorrent-extension.2018_09_23.CodeBlocksComparisonFilteredLinksSO
# Retrieve external links (filtered code blocks)
SELECT *
FROM `sotorrent-extension.2018_09_23.CodeBlocksComparisonFilteredLinks` clones
WHERE RootDomain <> "stackoverflow.com";
=> sotorrent-extension.2018_09_23.CodeBlocksComparisonFilteredLinksNonSO
# Count SO links per code block hash
SELECT ContentNormalizedHash, LinkedPostId, LinkedPostTypeId, COUNT(PostId) AS PostCount
FROM `sotorrent-extension.2018_09_23.CodeBlocksComparisonFilteredLinksSO`
WHERE LinkedPostId IS NOT NULL
GROUP BY ContentNormalizedHash, LinkedPostId, LinkedPostTypeId;
=> sotorrent-extension.2018_09_23.CodeBlocksComparisonFilteredLinksSOExport
# Count non-SO links per code block hash
SELECT ContentNormalizedHash, Url, COUNT(PostId) AS PostCount
FROM `sotorrent-extension.2018_09_23.CodeBlocksComparisonFilteredLinksNonSO`
GROUP BY ContentNormalizedHash, Url;
=> sotorrent-extension.2018_09_23.CodeBlocksComparisonFilteredLinksNonSOExport
|
insert into user values(10001,sysdate(),'AB');
insert into user values(20001,sysdate(),'CD');
insert into user values(30001,sysdate(),'EF');
insert into post values(11001,'My First Post',10001);
insert into post values(11002,'My Second Post',10001);
insert into post values(11003,'My First Awsome Post',30001);
insert into post values(11004,null,30001);
insert into post values(11005,null,30001);
|
WITH y
AS (
WITH x AS (
SELECT id,
NAME,
split_part(NAME::TEXT, '-'::TEXT, 1) AS make,
split_part(NAME::TEXT, '-'::TEXT, 2) AS model,
split_part(NAME::TEXT, '-'::TEXT, 3) AS hdd,
split_part(NAME::TEXT, '-'::TEXT, 4) AS grade,
upper(split_part(NAME::TEXT, '-'::TEXT, 6)) AS color,
list_price
FROM product_template
WHERE active = true
)
SELECT make,
model,
hdd,
CASE WHEN x.grade = 'NO'::TEXT THEN x.list_price ELSE 0::NUMERIC END AS no_list_price,
CASE WHEN x.grade = 'NS'::TEXT THEN x.list_price ELSE 0::NUMERIC END AS ns_list_price,
CASE WHEN x.grade = 'NR'::TEXT THEN x.list_price ELSE 0::NUMERIC END AS nr_list_price,
CASE WHEN x.grade = 'NE'::TEXT THEN x.list_price ELSE 0::NUMERIC END AS ne_list_price,
CASE WHEN x.grade = 'NW'::TEXT THEN x.list_price ELSE 0::NUMERIC END AS nw_list_price,
CASE WHEN x.grade = 'NB'::TEXT THEN x.list_price ELSE 0::NUMERIC END AS nb_list_price,
CASE WHEN x.grade = 'NM'::TEXT THEN x.list_price ELSE 0::NUMERIC END AS nm_list_price
FROM x
)
SELECT make,
model,
hdd,
max(no_list_price) AS no_list_price,
max(ns_list_price) AS ns_list_price,
max(nr_list_price) AS nr_list_price,
max(ne_list_price) AS ne_list_price,
max(nw_list_price) AS nw_list_price,
max(nb_list_price) AS nb_list_price,
max(nm_list_price) AS nm_list_price
FROM y
GROUP BY make,
model,
hdd;
with y as (
WITH x
AS (
SELECT id,
NAME,
split_part(NAME::TEXT, '-'::TEXT, 1) AS make,
split_part(NAME::TEXT, '-'::TEXT, 2) AS model,
split_part(NAME::TEXT, '-'::TEXT, 3) AS hdd,
split_part(NAME::TEXT, '-'::TEXT, 4) AS grade,
upper(split_part(NAME::TEXT, '-'::TEXT, 6)) AS color,
list_price
FROM product_template
WHERE active = true
)
SELECT DISTINCT make,
model,
hdd,
grade
FROM x )
select make , model , hdd , string_agg(grade,',') as all_grades
from y group by make , model , hdd
WITH x AS (
SELECT id,
NAME,
split_part(NAME::TEXT, '-'::TEXT, 1) AS make,
split_part(NAME::TEXT, '-'::TEXT, 2) AS model,
split_part(NAME::TEXT, '-'::TEXT, 3) AS hdd,
split_part(NAME::TEXT, '-'::TEXT, 4) AS grade,
upper(split_part(NAME::TEXT, '-'::TEXT, 6)) AS color,
list_price
FROM product_template
WHERE active = true
)
select make , model , hdd , distinct grade from x
select make , model , hdd , string_agg(grade,',') as all_grades , string_agg(color,',') as all_colors
from x group by make , model , hdd
WITH x AS (
SELECT id,
NAME,
split_part(NAME::TEXT, '-'::TEXT, 1) AS make,
split_part(NAME::TEXT, '-'::TEXT, 2) AS model,
split_part(NAME::TEXT, '-'::TEXT, 3) AS hdd,
split_part(NAME::TEXT, '-'::TEXT, 4) AS grade,
upper(split_part(NAME::TEXT, '-'::TEXT, 6)) AS color,
list_price
FROM product_template
WHERE active = true
)
select make , model , hdd , string_agg(format('%s, %s', grade, color), E'\n') as color_grade
from x group by make , model , hdd |
select sum (ss_quantity)
from store_sales
, store
, customer_demographics
, customer_address
, date_dim
where store.s_store_sk = store_sales.ss_store_sk
and store_sales.ss_sold_date_sk = date_dim.d_date_sk and d_year = 1998
and
(
( customer_demographics.cd_demo_sk = store_sales.ss_cdemo_sk
and cd_marital_status = 'M'
and cd_education_status = '4 yr Degree'
and ss_sales_price between 100.00 and 150.00
) or
( customer_demographics.cd_demo_sk = store_sales.ss_cdemo_sk
and cd_marital_status = 'M'
and cd_education_status = '4 yr Degree'
and ss_sales_price between 50.00 and 100.00
) or
( customer_demographics.cd_demo_sk = store_sales.ss_cdemo_sk
and cd_marital_status = 'M'
and cd_education_status = '4 yr Degree'
and ss_sales_price between 150.00 and 200.00
)
) and
(
( store_sales.ss_addr_sk = customer_address.ca_address_sk
and ca_country = 'United States'
and ca_state in ('KY', 'GA', 'NM')
and ss_net_profit between 0 and 2000
) or
( store_sales.ss_addr_sk = customer_address.ca_address_sk
and ca_country = 'United States'
and ca_state in ('MT', 'OR', 'IN')
and ss_net_profit between 150 and 3000
) or
( store_sales.ss_addr_sk = customer_address.ca_address_sk
and ca_country = 'United States'
and ca_state in ('WI', 'MO', 'WV')
and ss_net_profit between 50 and 25000
)
)
;
|
SET SCAN OFF
CREATE OR REPLACE
PACKAGE zsi_wsa_lib IS
/*
=======================================================================
*
* Copyright (c) 20014-2014 by ZSI. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification is strictly prohibited.
*
===========================================================================================================================
*/
/* Modification History
Date By History
--------- ---- ----------------------------------------------------------------------------------------------------------
20-OCT-14 BD New
*/
FUNCTION IsMACValid (p_mac_addr IN VARCHAR2) RETURN VARCHAR2;
END zsi_wsa_lib;
/ |
-- Databricks notebook source
-- MAGIC %md
-- MAGIC <img src="https://www.trivadis.com/sites/all/themes/custom/img/trivadis-logo.svg"/>
-- MAGIC
-- MAGIC # triCast Demo Azure Databricks in 5 minutes
-- COMMAND ----------
-- MAGIC %md
-- MAGIC ## Create a quickstart cluster
-- MAGIC
-- MAGIC 1. In the sidebar, right-click the **Clusters** button and open the link in a new window.
-- MAGIC 1. On the Clusters page, click **Create Cluster**.
-- MAGIC 1. Name the cluster **QuickStartDemo**.
-- MAGIC 1. In the Databricks Runtime Version drop-down, select **4.2 (includes Apache Spark 2.3.1, Scala 11)**.
-- MAGIC 1. Click **Create Cluster**.
-- COMMAND ----------
-- MAGIC %md
-- MAGIC ## Demo
-- MAGIC
-- MAGIC - Display folder with databricks sample Datasets
-- MAGIC - create a table (airports) from a tab delimited file (airport-codes-na.txt)
-- MAGIC - Display airports content
-- MAGIC - Query airports:
-- MAGIC - count airports by contry and state
-- MAGIC - compare airport count (US and CAN)
-- COMMAND ----------
-- MAGIC %fs ls "/databricks-datasets/"
-- COMMAND ----------
-- MAGIC %scala
-- MAGIC display(dbutils.fs.ls("/databricks-datasets/"))
-- COMMAND ----------
-- MAGIC %scala
-- MAGIC display(dbutils.fs.ls("/databricks-datasets/flights"))
-- COMMAND ----------
-- MAGIC %md
-- MAGIC ## Create a table from a tab delimited file (airport-codes-na.txt)
-- COMMAND ----------
DROP TABLE IF EXISTS airports;
CREATE TABLE airports
USING csv
OPTIONS (path "/databricks-datasets/flights/airport-codes-na.txt", header "true", delimiter "\t")
-- COMMAND ----------
SHOW TABLES;
-- COMMAND ----------
-- MAGIC %md
-- MAGIC ## Display airport content
-- COMMAND ----------
SELECT COUNT(*) FROM airports
-- COMMAND ----------
SELECT * FROM airports
-- COMMAND ----------
SELECT Country, State, COUNT(*) AS AirportCount FROM airports GROUP BY Country, State ORDER BY COUNT(*) DESC
-- COMMAND ----------
SELECT Country, COUNT(*) AS AirportCount FROM airports GROUP BY Country ORDER BY COUNT(*) DESC
-- COMMAND ----------
-- MAGIC %md
-- MAGIC ## Convert the table to a chart
-- MAGIC
-- MAGIC Under the table, click the bar chart <img src="http://docs.databricks.com/_static/images/notebooks/chart-button.png"/></a> icon.
-- COMMAND ----------
-- MAGIC %python
-- MAGIC airports = spark.sql("SELECT * FROM airports")
-- COMMAND ----------
-- MAGIC %md
-- MAGIC ## Repeat the same operations using Python DataFrame API.
-- MAGIC This is a SQL notebook.
-- MAGIC By default command statements are passed to a SQL interpreter.
-- MAGIC To pass command statements to a Python interpreter,
-- MAGIC include the `%python` magic command.
-- COMMAND ----------
-- MAGIC %md
-- MAGIC ## Create a DataFrame from tab delimited file
-- COMMAND ----------
-- MAGIC %python
-- MAGIC airports = sqlContext.read.format("csv") \
-- MAGIC .options(header="true", inferSchema="true", delimiter="\t") \
-- MAGIC .load("/databricks-datasets/flights/airport-codes-na.txt")
-- COMMAND ----------
-- MAGIC %md
-- MAGIC ## Query airports DataFrame
-- MAGIC - Count airports by country and state
-- MAGIC - Compare airport count (US and CAN)
-- COMMAND ----------
-- MAGIC %md
-- MAGIC ### Compare airport count (US and CAN)
-- COMMAND ----------
-- MAGIC %python
-- MAGIC from pyspark.sql.functions import count
-- MAGIC
-- MAGIC airportsByCountry = airports.select("Country").groupBy("Country").agg(count("*").alias("AirportCount"))
-- MAGIC
-- MAGIC display(airportsByCountry.sort("AirportCount", ascending=False))
-- COMMAND ----------
-- MAGIC %md
-- MAGIC ### Count airports by country and state
-- COMMAND ----------
-- MAGIC %python
-- MAGIC from pyspark.sql.functions import count
-- MAGIC
-- MAGIC airportsByCountryAndState = airports.select("Country", "State").groupBy("Country", "State").agg(count("*").alias("AirportCount"))
-- MAGIC
-- MAGIC display(airportsByCountryAndState.sort("AirportCount", ascending=False))
-- COMMAND ----------
-- MAGIC %md
-- MAGIC ### Create Crosstab by Country / State
-- COMMAND ----------
-- MAGIC %python
-- MAGIC airportsCT = airports.crosstab("Country", "State")
-- MAGIC display(airportsCT) |
CREATE TABLE IF NOT EXISTS statuses
(
id serial not null,
name text not null,
constraint statuses_pk primary key (id)
);
CREATE TABLE IF NOT EXISTS payments
(
id serial not null,
name text not null,
constraint payments_pk primary key (id)
);
CREATE TABLE IF NOT EXISTS customers
(
id serial not null,
first_name text not null,
last_name text not null,
billing_address text not null,
billing_city text not null,
billing_country text not null,
billing_zip_code text not null,
shipping_address text not null,
shipping_city text not null,
shipping_country text not null,
shipping_zip_code text not null,
phone text not null,
email text not null,
password text not null,
constraint customers_pk primary key (id)
);
CREATE TABLE IF NOT EXISTS departments
(
id serial not null,
name text not null,
constraint departments_pk primary key (id)
);
CREATE TABLE IF NOT EXISTS categories
(
id serial not null,
name text not null,
department_id integer not null,
constraint categories_pk primary key (id),
constraint fk_categories_department_id foreign key (department_id) references departments
);
CREATE TABLE IF NOT EXISTS suppliers
(
id serial not null,
name text not null,
constraint suppliers_pk primary key (id)
);
CREATE TABLE IF NOT EXISTS products
(
id serial not null,
name text not null,
description text not null,
price decimal not null,
currency text not null,
category_id integer not null,
supplier_id integer not null,
constraint products_pk primary key (id),
constraint fk_products_category_id foreign key (category_id) references categories,
constraint fk_products_supplier_id foreign key (supplier_id) references suppliers
);
CREATE TABLE IF NOT EXISTS orders
(
id serial not null,
data timestamp not null,
customer_id integer not null,
payment_id integer,
total_price decimal,
status_id integer not null default 1,
constraint orders_pk primary key (id),
constraint fk_orders_customer_id foreign key (customer_id) references customers,
constraint fk_orders_payment_id foreign key (payment_id) references payments,
constraint fk_orders_status_id foreign key (status_id) references statuses
);
CREATE TABLE IF NOT EXISTS line_items
(
id serial not null,
product_id integer not null,
quantity integer not null,
orders_id integer not null,
constraint line_items_pk primary key (id),
constraint fk_line_items_product_id foreign key (product_id) references products,
constraint fk_line_items_orders_id foreign key (orders_id) references orders
);
|
alter table gha_repos add license_key character varying(30);
alter table gha_repos add license_name character varying(160);
alter table gha_repos add license_prob double precision;
create index repos_license_key_idx on public.gha_repos using btree(license_key);
create index repos_license_name_idx on public.gha_repos using btree(license_name);
create index repos_license_prob_idx on public.gha_repos using btree(license_prob);
|
-- Host: localhost Database: mcdesign
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8 */;
/*!40103 SET @OLD_TIME_ZONE=@@TIME_ZONE */;
/*!40103 SET TIME_ZONE='+00:00' */;
/*!40014 SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0 */;
/*!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 */;
/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */;
/*!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 */;
--
-- Table structure for table `mc_designs`
--
DROP TABLE IF EXISTS `mc_designs`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `mc_designs` (
`id` varchar(8) NOT NULL,
`design` longtext NOT NULL,
`width` smallint(6) NOT NULL,
`height` smallint(6) NOT NULL,
`timestamp` int(11) NOT NULL,
UNIQUE KEY `ID` (`id`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
/*!40101 SET character_set_client = @saved_cs_client */;
|
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