text stringlengths 6 9.38M |
|---|
-----------------
-- RESTAURACJE --
-----------------
INSERT INTO Restauracje VALUES (1, 'U Romka', 'ul. Chojnacki 22815, 88-457 Węgorzewo', 8, 20, 51)
INSERT INTO Restauracje VALUES (2, 'U Tomka', 'ul. Zagórski 9733, 08-481 Chełmek', 7, 20, 47)
INSERT INTO Restauracje VALUES (3, 'U Grzesia', 'al. Maciejewski 290, 61-003 Polanów', 7, 21, 66)
INSERT INTO Restauracje VALUES (4, 'U Fabiana', 'ul. Gawroński 530, 30-287 Poznań', 7, 21, 77)
INSERT INTO Restauracje VALUES (5, 'U Maćka', 'al. Rzepka 52271, 72-013 Sokołów Małopolski', 7, 19, 31)
INSERT INTO Restauracje VALUES (6, 'U Jakuba', 'ul. Rakowski 343, 00-865 Skwierzyna', 7, 19, 48)
INSERT INTO Restauracje VALUES (7, 'U Marzenny', 'al. Mróz 92110, 04-601 Dobra (powiat turecki)', 7, 19, 81)
INSERT INTO Restauracje VALUES (8, 'U Patrycji', 'ul. Kasprzyk 7560, 67-661 Głogów Małopolski', 8, 20, 33)
INSERT INTO Restauracje VALUES (9, 'U Filipa', 'al. Piłat 2072, 93-940 Ostrowiec Świętokrzyski', 8, 20, 31)
INSERT INTO Restauracje VALUES (10, 'U Michała', 'ul. Kacprzak 62457, 69-475 Lubaczów', 7, 19, 31)
INSERT INTO Restauracje VALUES (11, 'U Gabriela', 'al. Gołębiewski 34597, 96-087 Turek', 7, 19, 50)
INSERT INTO Restauracje VALUES (12, 'U Szymona', 'al. Kobus 3484, 51-355 Drezdenko', 8, 21, 72)
INSERT INTO Restauracje VALUES (13, 'U Anieli', 'al. Lech 640, 16-510 Poniec', 8, 20, 46)
--------------
-- KELNERZY --
--------------
INSERT INTO Kelnerzy VALUES (1, 1, 'Frączek', 'Julian', '2012-09-01')
INSERT INTO Kelnerzy VALUES (2, 1, 'Wesołowski', 'Wiktor', '2012-09-01')
INSERT INTO Kelnerzy VALUES (3, 1, 'Jędrzejewski', 'Ksawery', '2012-09-01')
INSERT INTO Kelnerzy VALUES (4, 1, 'Płonka', 'Hieronim', '2012-09-01')
INSERT INTO Kelnerzy VALUES (5, 1, 'Młynarczyk', 'Rafał', '2012-09-01')
INSERT INTO Kelnerzy VALUES (6, 1, 'Zdunek', 'Leon', '2012-09-01')
INSERT INTO Kelnerzy VALUES (7, 1, 'Wypych', 'Olaf', '2012-09-01')
INSERT INTO Kelnerzy VALUES (8, 2, 'Kubicki', 'Romeo', '2012-09-01')
INSERT INTO Kelnerzy VALUES (9, 2, 'Biernat', 'Piotr', '2012-09-01')
INSERT INTO Kelnerzy VALUES (10, 2, 'Wieczorek', 'Alfred', '2012-09-01')
INSERT INTO Kelnerzy VALUES (11, 2, 'Pająk', 'Ilona', '2012-09-01')
INSERT INTO Kelnerzy VALUES (12, 2, 'Hajduk', 'Joachim', '2012-09-01')
INSERT INTO Kelnerzy VALUES (13, 2, 'Bilski', 'Tymoteusz', '2012-09-01')
INSERT INTO Kelnerzy VALUES (14, 3, 'Matuszewski', 'Lilia', '2012-09-01')
INSERT INTO Kelnerzy VALUES (15, 3, 'Strzelczyk', 'Bibianna', '2012-09-01')
INSERT INTO Kelnerzy VALUES (16, 3, 'Malicki', 'Marianna', '2012-09-01')
INSERT INTO Kelnerzy VALUES (17, 3, 'Popławski', 'Barbara', '2012-09-01')
INSERT INTO Kelnerzy VALUES (18, 3, 'Kogut', 'Arkady', '2012-09-01')
INSERT INTO Kelnerzy VALUES (19, 3, 'Sokołowski', 'Porfiry', '2012-09-01')
INSERT INTO Kelnerzy VALUES (20, 3, 'Kalinowski', 'Łucja', '2012-09-01')
INSERT INTO Kelnerzy VALUES (21, 3, 'Pakuła', 'Natalia', '2012-09-01')
INSERT INTO Kelnerzy VALUES (22, 4, 'Kolasa', 'Rajmund', '2012-09-01')
INSERT INTO Kelnerzy VALUES (23, 4, 'Jankowski', 'Nikodem', '2012-09-01')
INSERT INTO Kelnerzy VALUES (24, 4, 'Głąb', 'Aurora', '2012-09-01')
INSERT INTO Kelnerzy VALUES (25, 4, 'Olejnik', 'Dina', '2012-09-01')
INSERT INTO Kelnerzy VALUES (26, 4, 'Żmuda', 'Olimpia', '2012-09-01')
INSERT INTO Kelnerzy VALUES (27, 4, 'Sobczyk', 'Hipolit', '2012-09-01')
INSERT INTO Kelnerzy VALUES (28, 4, 'Cieślik', 'Renata', '2012-09-01')
INSERT INTO Kelnerzy VALUES (29, 4, 'Osiński', 'Wilhelmina', '2012-09-01')
INSERT INTO Kelnerzy VALUES (30, 4, 'Rakowski', 'Wiktoria', '2012-09-01')
INSERT INTO Kelnerzy VALUES (31, 4, 'Skiba', 'Sylwia', '2012-09-01')
INSERT INTO Kelnerzy VALUES (32, 5, 'Szczęsna', 'Żaneta', '2012-09-01')
INSERT INTO Kelnerzy VALUES (33, 5, 'Wolak', 'Paula', '2012-09-01')
INSERT INTO Kelnerzy VALUES (34, 5, 'Szczepaniak', 'Ilona', '2012-09-01')
INSERT INTO Kelnerzy VALUES (35, 5, 'Strzelecki', 'Wirginia', '2012-09-01')
INSERT INTO Kelnerzy VALUES (36, 6, 'Kania', 'Florian', '2012-09-01')
INSERT INTO Kelnerzy VALUES (37, 6, 'Molenda', 'Oliwia', '2012-09-01')
INSERT INTO Kelnerzy VALUES (38, 6, 'Dębski', 'Igor', '2012-09-01')
INSERT INTO Kelnerzy VALUES (39, 6, 'Niedźwiecki', 'Maja', '2012-09-01')
INSERT INTO Kelnerzy VALUES (40, 6, 'Michalak', 'Arkadiusz', '2012-09-01')
INSERT INTO Kelnerzy VALUES (41, 6, 'Kozak', 'Brygida', '2012-09-01')
INSERT INTO Kelnerzy VALUES (42, 7, 'Kot', 'Joachim', '2012-09-01')
INSERT INTO Kelnerzy VALUES (43, 7, 'Jackowski', '—', '2012-09-01')
INSERT INTO Kelnerzy VALUES (44, 7, 'Jóźwik', 'Judyta', '2012-09-01')
INSERT INTO Kelnerzy VALUES (45, 7, 'Świerczyński', 'Albert', '2012-09-01')
INSERT INTO Kelnerzy VALUES (46, 7, 'Kulig', 'Maryna', '2012-09-01')
INSERT INTO Kelnerzy VALUES (47, 7, 'Bednarek', 'Laurencjusz', '2012-09-01')
INSERT INTO Kelnerzy VALUES (48, 7, 'Barański', 'Fryderyk', '2012-09-01')
INSERT INTO Kelnerzy VALUES (49, 7, 'Zajączkowski', 'Olaf', '2012-09-01')
INSERT INTO Kelnerzy VALUES (50, 7, 'Wasiak', 'Cezary', '2012-09-01')
INSERT INTO Kelnerzy VALUES (51, 7, 'Kozieł', 'Joanna', '2012-09-01')
INSERT INTO Kelnerzy VALUES (52, 8, 'Brzeziński', 'Porfiriusz', '2012-09-01')
INSERT INTO Kelnerzy VALUES (53, 8, 'Klimczak', 'Terencjusz', '2012-09-01')
INSERT INTO Kelnerzy VALUES (54, 8, 'Banach', 'Sylwester', '2012-09-01')
INSERT INTO Kelnerzy VALUES (55, 8, 'Rakowski', 'Zachariasz', '2012-09-01')
INSERT INTO Kelnerzy VALUES (56, 9, 'Adamczak', 'Kazimierz', '2012-09-01')
INSERT INTO Kelnerzy VALUES (57, 9, 'Zalewski', 'Anastazja', '2012-09-01')
INSERT INTO Kelnerzy VALUES (58, 9, 'Różycki', 'Walgierz', '2012-09-01')
INSERT INTO Kelnerzy VALUES (59, 9, 'Adamczyk', 'Ksenofont', '2012-09-01')
INSERT INTO Kelnerzy VALUES (60, 10, 'Wąsik', 'Waleria', '2012-09-01')
INSERT INTO Kelnerzy VALUES (61, 10, 'Piasecki', 'Korneli', '2012-09-01')
INSERT INTO Kelnerzy VALUES (62, 10, 'Kuc', 'Irena', '2012-09-01')
INSERT INTO Kelnerzy VALUES (63, 10, 'Smoliński', 'Beniamin', '2012-09-01')
INSERT INTO Kelnerzy VALUES (64, 11, 'Czerniak', 'Irena', '2012-09-01')
INSERT INTO Kelnerzy VALUES (65, 11, 'Łapiński', 'Witalis', '2012-09-01')
INSERT INTO Kelnerzy VALUES (66, 11, 'Wysocki', 'Polikarp', '2012-09-01')
INSERT INTO Kelnerzy VALUES (67, 11, 'Popławski', 'Nazary', '2012-09-01')
INSERT INTO Kelnerzy VALUES (68, 11, 'Rudzki', 'Gabriela', '2012-09-01')
INSERT INTO Kelnerzy VALUES (69, 11, 'Kaczor', 'Katarzyna', '2012-09-01')
INSERT INTO Kelnerzy VALUES (70, 11, 'Słowik', 'Wilhelm', '2012-09-01')
INSERT INTO Kelnerzy VALUES (71, 12, 'Łukaszewski', 'Jakub', '2012-09-01')
INSERT INTO Kelnerzy VALUES (72, 12, 'Głogowski', 'Bazyli', '2012-09-01')
INSERT INTO Kelnerzy VALUES (73, 12, 'Wierzbicki', 'Regina', '2012-09-01')
INSERT INTO Kelnerzy VALUES (74, 12, 'Andrzejewski', 'Rajnold', '2012-09-01')
INSERT INTO Kelnerzy VALUES (75, 12, 'Romanowski', 'Wiktoria', '2012-09-01')
INSERT INTO Kelnerzy VALUES (76, 12, 'Stolarczyk', 'Nikola', '2012-09-01')
INSERT INTO Kelnerzy VALUES (77, 12, 'Szymański', 'Konstantyn', '2012-09-01')
INSERT INTO Kelnerzy VALUES (78, 12, 'Lenart', 'Demetriusz', '2012-09-01')
INSERT INTO Kelnerzy VALUES (79, 12, 'Orzechowski', 'Szczepan', '2012-09-01')
INSERT INTO Kelnerzy VALUES (80, 13, 'Biernat', 'Edmund', '2012-09-01')
INSERT INTO Kelnerzy VALUES (81, 13, 'Jagodziński', 'Karolina', '2012-09-01')
INSERT INTO Kelnerzy VALUES (82, 13, 'Kołakowski', 'Pankracy', '2012-09-01')
INSERT INTO Kelnerzy VALUES (83, 13, 'Skrzypek', 'Regina', '2012-09-01')
INSERT INTO Kelnerzy VALUES (84, 13, 'Kulig', 'Oleg', '2012-09-01')
INSERT INTO Kelnerzy VALUES (85, 13, 'Milewski', 'Gonsalwy', '2012-09-01')
---------------
-- KATEGORIE --
---------------
INSERT INTO Kategorie VALUES (1, 'alkohole', 'palące w ustach trunki oraz te wyrafinowane - wszystko czego pragnie alkoholowy smakosz')
INSERT INTO Kategorie VALUES (2, 'napoje', 'coś do wypicia na ciepło i na zimno')
INSERT INTO Kategorie VALUES (3, 'przekąski', 'podawane przed obiadem')
INSERT INTO Kategorie VALUES (4, 'pizza', 'smaczna pizza')
INSERT INTO Kategorie VALUES (5, 'Przystawki Zimne', 'na zimno')
INSERT INTO Kategorie VALUES (6, 'Przystawki Gorące', 'na gorąco')
INSERT INTO Kategorie VALUES (7, 'Zupy', 'wszelakie zupy')
INSERT INTO Kategorie VALUES (8, 'Makarony', 'pełen asortyment włoskich makaronów - wszystkie aldente')
INSERT INTO Kategorie VALUES (9, 'Dania Główne', '')
INSERT INTO Kategorie VALUES (10, 'Desery', '')
INSERT INTO Kategorie VALUES (11, 'Sałatki', '')
-----------
-- DANIA --
-----------
INSERT INTO Dania VALUES (1, 1, 'Piwo jasne', 7, 350, 'ml')
INSERT INTO Dania VALUES (2, 1, 'Piwo ciemne', 7, 350, 'ml')
INSERT INTO Dania VALUES (3, 1, 'Wódka czysta', 14, 100, 'ml')
INSERT INTO Dania VALUES (4, 1, 'Wino wytrawne czerwone', 18, 150, 'ml')
INSERT INTO Dania VALUES (5, 1, 'Wino wytrawne białe', 18, 150, 'ml')
INSERT INTO Dania VALUES (6, 1, 'Wino słodkie białe', 21, 150, 'ml')
INSERT INTO Dania VALUES (7, 4, 'Margerita', 24, 400, 'g')
INSERT INTO Dania VALUES (8, 4, 'Capricciosa', 23, 400, 'g')
INSERT INTO Dania VALUES (9, 4, 'Fungi', 23, 400, 'g')
INSERT INTO Dania VALUES (10, 4, 'Wiejska', 23, 400, 'g')
INSERT INTO Dania VALUES (11, 2, 'herbata', 6, 400, 'ml')
INSERT INTO Dania VALUES (12, 2, 'kawa', 8, 300, 'ml')
INSERT INTO Dania VALUES (13, 3, 'oscypek z żurawiną', 32, 130, 'g')
INSERT INTO Dania VALUES (14, 5, 'Tatar z łososia norweskiego na ogórkowym carpaccio', 24, 150, 'g')
INSERT INTO Dania VALUES (15, 5, 'Balsamiczne polędwiczki drobiowe na sałatce z melonem i sosem curry', 19, 150, 'g')
INSERT INTO Dania VALUES (16, 5, 'Ruloniki orzechowej ricotty w płatkach wołowiny', 24, 100, 'g')
INSERT INTO Dania VALUES (17, 5, 'Tatar wołowy drobno siekany w towarzystwie grzybka i ogórka', 28, 200, 'g')
INSERT INTO Dania VALUES (18, 5, 'Carpaccio wołowe pod pierzynką rukolą i parmezanu', 25, 150, 'g')
INSERT INTO Dania VALUES (19, 6, 'Wykwintne scampi w oliwie z oliwek z czosnkiem i peperoncino', 31, 100, 'g')
INSERT INTO Dania VALUES (20, 6, 'Grzanka francuska z wątróbką i borowikami', 14, 120, 'g')
INSERT INTO Dania VALUES (21, 6, 'Krewetki królewskie w szynce parmeńskiej', 29, 100, 'g')
INSERT INTO Dania VALUES (22, 7, 'Consome drobiowe z warzywnym julienne', 8, 400, 'ml')
INSERT INTO Dania VALUES (23, 7, 'Krem kalafiorowo-brokułowy', 10, 400, 'ml')
INSERT INTO Dania VALUES (24, 7, 'Prowansalska zupa rybna', 17, 400, 'ml')
INSERT INTO Dania VALUES (25, 7, 'Krem z dyni w aromacie gałki muszkatołowej', 9, 300, 'ml')
INSERT INTO Dania VALUES (26, 7, 'Krem z leśnych grzybów zapiekany z ciastem francuskim', 18, 400, 'ml')
INSERT INTO Dania VALUES (27, 7, 'Krem pomidorowy z delikatną mozzarellą', 11, 300, 'ml')
INSERT INTO Dania VALUES (28, 7, 'Zupa pomidorowa z fikuśnym makaronikiem', 6, 200, 'ml')
INSERT INTO Dania VALUES (29, 7, 'Rosół z lanymi kluseczkami', 6, 200, 'ml')
INSERT INTO Dania VALUES (30, 8, 'Conchiglioni z borowikami i szpinakiem w pomidorach', 28, 400, 'g')
INSERT INTO Dania VALUES (31, 8, 'Fusilli avelinesi z trzema serami i orzechami włoskimi', 25, 350, 'g')
INSERT INTO Dania VALUES (32, 8, 'Tagliatelle z wędzonym łososiem', 24, 350, 'g')
INSERT INTO Dania VALUES (33, 8, 'Spaghetti z czosnkiem papryczką peperoncino i zieloną pietruszką', 20, 350, 'g')
INSERT INTO Dania VALUES (34, 8, 'Pappardelle ze szpinakiem i borowikami', 26, 300, 'g')
INSERT INTO Dania VALUES (35, 8, 'Spaghetti z frutti di mare w oliwie z oliwek', 33, 400, 'g')
INSERT INTO Dania VALUES (36, 9, 'Grillowany stek wołowy podany z cukiniami i opiekanymi ziemniaczkami', 53, 400, 'g')
INSERT INTO Dania VALUES (37, 9, 'Pierś kurczęca z suszonym pomidorkiem w parmeńskim płaszczyku w sosie gorgonzola podane z kopytkami', 36, 400, 'g')
INSERT INTO Dania VALUES (38, 9, 'Polędwiczki wieprzowe z faszerowanym pomidorkiem w sosie gorczycowym z ziemniaczkami drążonymi', 38, 350, 'g')
INSERT INTO Dania VALUES (39, 9, 'Skoki królicze z rulonikiem ziemniaczano – bekonowym i buraczkami zasmażanymi', 41, 330, 'g')
INSERT INTO Dania VALUES (40, 9, 'Marynowana pierś kacza z pierożkami gryczanymi i buraczkami', 40, 380, 'g')
INSERT INTO Dania VALUES (41, 9, 'Duet łososia i halibuta zawijany liść kapusty włoskiej z warzywnym risotto', 39, 320, 'g')
INSERT INTO Dania VALUES (42, 9, 'Filet z sandacza na warzywnym julienne w aksamitnym sosie czsnkowym z ziemniaczkami', 41, 310, 'g')
INSERT INTO Dania VALUES (43, 9, 'T-Bone steak z warzywamii z grilla i opiekanymi ziemniaczkami', 68, 320, 'g')
INSERT INTO Dania VALUES (44, 9, 'Kęski kurczaka w chrupiącej panierce z frytkami i surówka wiosenną', 18, 200, 'g')
INSERT INTO Dania VALUES (45, 9, 'Naleśniki z serem i owocami', 15, 200, 'g')
INSERT INTO Dania VALUES (46, 9, 'Pierożki własnej roboty z jagodami', 18, 200, 'g')
INSERT INTO Dania VALUES (47, 10, 'Aksamitny torcik "monte bianco"', 15, 100, 'g')
INSERT INTO Dania VALUES (48, 10, 'Tarta tatin na lustrze sosu karmelowego z lodami waniliowymi', 14, 100, 'g')
INSERT INTO Dania VALUES (49, 10, 'Torcik czekoladowo-miętowy z łezką sosu truskawkowego', 14, 100, 'g')
INSERT INTO Dania VALUES (50, 10, 'Krem Brulee', 14, 100, 'g')
INSERT INTO Dania VALUES (51, 10, 'Panna Cotta z aksamitnym musem owocowym', 14, 90, 'g')
INSERT INTO Dania VALUES (52, 10, 'Carpaccio z pomarańczy (lub innych owoców sezonowych) skropione nutą słodyczy', 10, 100, 'g')
INSERT INTO Dania VALUES (53, 10, 'Deser lodowy', 10, 90, 'g')
INSERT INTO Dania VALUES (54, 11, 'Sałatka Cezara', 26, 180, 'g')
INSERT INTO Dania VALUES (55, 11, 'Sałatka grecka', 23, 180, 'g')
INSERT INTO Dania VALUES (56, 11, 'Sałatka z mozzarellą, pomidorkami i bazylią zakrapiana salsą verde', 18, 150, 'g')
INSERT INTO Dania VALUES (57, 11, 'Bakłażan zapiekany nazłoto z mozzarellą i pomidorkami suszonymi serwowany na rucoli', 26, 200, 'g')
----------------
-- ZAMOWIENIA --
----------------
----------------------
-- ZAMOWIENIA_DANIA --
----------------------
|
/*
Navicat MySQL Data Transfer
Source Server : localhost_3306
Source Server Version : 60005
Source Host : localhost:3306
Source Database : test
Target Server Type : MYSQL
Target Server Version : 60005
File Encoding : 65001
Date: 2015-05-12 19:41:02
*/
SET FOREIGN_KEY_CHECKS=0;
-- ----------------------------
-- Table structure for `user`
-- ----------------------------
DROP TABLE IF EXISTS `user`;
CREATE TABLE `user` (
`userid` int(11) NOT NULL AUTO_INCREMENT,
`username` varchar(32) CHARACTER SET gbk DEFAULT NULL COMMENT '账号名称',
`password` varchar(32) CHARACTER SET gbk DEFAULT NULL COMMENT '用户密码，保存的是密码的md5值',
`age` int(11) DEFAULT NULL,
`birthday` datetime DEFAULT NULL,
PRIMARY KEY (`userid`),
UNIQUE KEY `uni_username` (`username`) USING BTREE
) ENGINE=InnoDB AUTO_INCREMENT=20 DEFAULT CHARSET=utf8;
-- ----------------------------
-- Records of user
-- ----------------------------
|
SELECT teachers.name as teacher, students.name as student, assignments.name as assignment, (completed_at-started_at) as duration
FROM assistance_requests
JOIN teachers ON teachers.id = teacher_id
JOIN students ON students.id = student_id
JOIN assignments ON assignments.id = assignment_id
ORDER BY duration; |
create or replace type type_varchar2_col as object (v varchar2(2000))
/
|
INSERT INTO public.parking_spots (available,lat,lon,address,"cost") VALUES
(true,22.1234131,-41.5673332,'address2',0.5)
,(false,14.1674004,34.3456345,'address4',2)
,(true,9.12314034,41.7865562,'address3',2)
,(true,18.5655003,73.8050003,'address1',0.5)
; |
IF EXISTS (SELECT * FROM sys.objects WHERE object_id = OBJECT_ID(N'[dbo].[fnc_ClientPortal_GetUserName]') AND type in (N'FN', N'IF', N'TF', N'FS', N'FT'))
DROP FUNCTION [dbo].[fnc_ClientPortal_GetUserName]
GO
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE FUNCTION [dbo].[fnc_ClientPortal_GetUserName]
(
@UserID int
,@IsClientUser bit
)
RETURNS varchar(100)
AS
BEGIN
DECLARE @UserName varchar(100) = ''
IF(@IsClientUser = 1)
SELECT @UserName = ISNULL(CC.Name, 'No Name')
FROM CWI_ClientContact CC
INNER JOIN CWI_ClientContactPortal CCP
ON CCP.Email = CC.Email
WHERE CCP.ID = @USerID
ElSE
SELECT @UserName = ISNULL(U.Login,'No Name')
FROM CWI_User U
WHERE U.ID = @UserID
RETURN @UserName
END |
delete from tid_interface_status;
delete from tid_facility_map;
delete from scheduled_outages;
delete from pm_history;
delete from pm_info;
delete from alarms;
delete from fiber_routes;
delete from fiber_segments;
delete from facilities;
delete from tid_queue;
delete from tids;
delete from cities;
insert into cities (id, name, state, clli_tid, latitude, longitude) select rownum, city, state, tid, latitude, longitude from city@geonet.oss.sprint.com where city is not null;
insert into customers (id, name, short_name, flag, customer_type_id) select rownum, customer, short_name, 'n', 1 from customer@geonet.oss.sprint.com where customer is not null;
------------------
create or replace view migrate_tids as
select distinct t.tid as name, t.ipaddress as ipaddress, 'n' as flag, NULL as cause, 'UNK' as grouping_name, 'UNK' as dwdm_facility, c.id as city_id, t.element_typeid as element_type_id, 't' as keephistory, 0 as connect_attempt, NULL as directionality
from tid@geonet.oss.sprint.com t, city@geonet.oss.sprint.com cc, cities c
where cc.cityid = t.cityid and c.name = cc.city and t.tid is not null and t.element_typeid is not null;
insert into tids (id, name, ipaddress, flag, cause, grouping_name, dwdm_facility, city_id, element_type_id, keephistory, connect_attempt, directionality)
select rownum, name, ipaddress, flag, cause, grouping_name, dwdm_facility, city_id, element_type_id, keephistory, connect_attempt, directionality from migrate_tids;
drop view migrate_tids;
update tids set (grouping_name, dwdm_facility, directionality) = (select max(grouping_name), max(dwdm_facility), max(directionality) from tids@porky.oss.sprint.com tt where tt.name = tids.name) where tids.name in (select name from tids@porky.oss.sprint.com);
--------------------
insert into facilities (id, name, active, flag, customer_id, keephistory)
select rownum, f.facility as name, 'f', 'n', c.id, 't'
from facility@geonet.oss.sprint.com f, customer@geonet.oss.sprint.com cc, customers c
where cc.customerid = f.customerid and c.name = cc.customer and f.facility is not null;
--------------------
create or replace view migrate_tids as
select
tt.tidid as id
from
tid@geonet.oss.sprint.com tt
where
(tt.tid, tt.channel, tt.timeentered) in (select max(tid), max(channel), max(timeentered) from tid@geonet.oss.sprint.com where tid = tt.tid and channel = tt.channel)
;
drop table blahblah;
create table blahblah as
select rownum as xx, t.id tid_id, f.id facility_id, i.id interface_id, tt.trans_facility_path trans_seq, tt.recv_facility_path recv_seq, 't' certified, SYSDATE last_updatedate, 't' certified_recv
from
tid@geonet.oss.sprint.com tt,
tids t,
facilities f,
facility@geonet.oss.sprint.com ff,
interfaces i,
interface_types ii
where
tt.tid = t.name
and tt.tidid in (select id from migrate_tids)
and (tt.channel is not null or tt.aid is not null)
and ff.facility = f.name
and ff.facilityid = tt.facilityid
and ii.element_type_id = t.element_type_id
and ii.id = i.interface_type_id
and ( ( tt.channel is not null
and i.name = tt.channel
)
or ( tt.aid is not null
and i.name = tt.aid
)
)
;
delete from blahblah where xx in (select a.xx from blahblah a, blahblah b where a.xx < b.xx and a.tid_id = b.tid_id and a.facility_id = b.facility_id and a.interface_id = b.interface_id);
insert into tid_facility_map select trans_seq, recv_seq, tid_id, facility_id, interface_id, certified, last_updatedate, certified_recv from blahblah;
drop table blahblah;
drop view migrate_tids;
----------------------------
insert into pm_info (tid_id, interface_id, timeentered) select tid_id, interface_id, SYSDATE from tid_facility_map;
insert into tid_interface_status (tid_id, interface_id, timeentered, flag, connect_attempt) select tid_id, interface_id, sysdate, 'n', 0 from tid_facility_map; |
CREATE TABLE users(id INTEGER PRIMARY KEY,
username TEXT,
password TEXT
);
CREATE TABLE pizza_providers(id INTEGER PRIMARY KEY,
name TEXT
);
CREATE TABLE pizza_sizes(id INTEGER PRIMARY KEY,
size INTEGER
);
CREATE TABLE crusts(id INTEGER PRIMARY KEY,
name TEXT
);
CREATE TABLE toppings(id INTEGER PRIMARY KEY,
name TEXT,
quantity INTEGER
);
CREATE TABLE orders(id INTEGER PRIMARY KEY,
average_price DOUBLE,
user_id INTEGER,
timestamp DATETIME
);
INSERT INTO users VALUES (NULL, 'claire', 'NOOOOOOOOOO');
|
-- phpMyAdmin SQL Dump
-- version 4.7.3
-- https://www.phpmyadmin.net/
--
-- Anamakine: localhost:3306
-- Üretim Zamanı: 11 Ara 2017, 23:36:32
-- Sunucu sürümü: 10.1.29-MariaDB
-- PHP Sürümü: 5.6.30
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 */;
--
-- Veritabanı: `alibabas_1773`
--
-- --------------------------------------------------------
--
-- Görünüm yapısı durumu `manageUser`
-- (Asıl görünüm için aşağıya bakın)
--
CREATE TABLE `manageUser` (
`id` int(10)
,`full_name` varchar(50)
,`user_name` varchar(50)
,`password` varchar(100)
,`address` varchar(250)
,`email` varchar(100)
,`user_type` varchar(20)
);
-- --------------------------------------------------------
--
-- Tablo için tablo yapısı `MAP`
--
CREATE TABLE `MAP` (
`id` int(10) NOT NULL,
`road_id` int(11) NOT NULL
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Tablo için tablo yapısı `ORDERS`
--
CREATE TABLE `ORDERS` (
`id` int(10) NOT NULL,
`distributor_id` int(10) NOT NULL,
`create_date` date NOT NULL,
`status` varchar(20) CHARACTER SET utf8 COLLATE utf8_turkish_ci NOT NULL
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
--
-- Tablo döküm verisi `ORDERS`
--
INSERT INTO `ORDERS` (`id`, `distributor_id`, `create_date`, `status`) VALUES
(1, 1, '2017-12-01', 'pending'),
(2, 1, '2017-12-04', 'confirmed'),
(3, 5, '2017-12-04', 'pending'),
(4, 5, '2017-12-05', 'pending'),
(71, 14, '2017-12-08', 'pending'),
(68, 11, '2017-12-08', 'pending'),
(69, 12, '2017-12-08', 'pending'),
(70, 13, '2017-12-08', 'pending'),
(66, 9, '2017-12-08', 'pending'),
(67, 10, '2017-12-08', 'pending'),
(65, 8, '2017-12-08', 'pending'),
(64, 7, '2017-12-08', 'pending');
-- --------------------------------------------------------
--
-- Tablo için tablo yapısı `ORDER_DETAIL`
--
CREATE TABLE `ORDER_DETAIL` (
`id` int(10) NOT NULL,
`order_id` int(10) NOT NULL,
`product_id` int(10) NOT NULL,
`amount` int(10) NOT NULL
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
--
-- Tablo döküm verisi `ORDER_DETAIL`
--
INSERT INTO `ORDER_DETAIL` (`id`, `order_id`, `product_id`, `amount`) VALUES
(124, 68, 1, 112),
(123, 67, 3, 111),
(122, 67, 2, 110),
(121, 67, 1, 109),
(120, 66, 3, 108),
(119, 66, 2, 107),
(118, 66, 1, 106),
(117, 65, 3, 105),
(116, 65, 2, 104),
(128, 69, 1, 114),
(115, 65, 1, 103),
(114, 64, 3, 102),
(113, 64, 2, 101),
(136, 71, 3, 121),
(135, 71, 2, 119),
(134, 71, 1, 120),
(133, 70, 3, 118),
(112, 64, 1, 100),
(111, 2, 3, 350),
(110, 2, 2, 250),
(109, 2, 1, 150),
(108, 1, 3, 300),
(107, 1, 2, 200),
(106, 1, 1, 100),
(132, 70, 2, 117),
(131, 70, 1, 116),
(130, 69, 3, 116),
(129, 69, 2, 115),
(126, 68, 3, 114),
(125, 68, 2, 113);
-- --------------------------------------------------------
--
-- Tablo için tablo yapısı `POOLPOINT`
--
CREATE TABLE `POOLPOINT` (
`id` int(10) NOT NULL,
`name` varchar(100) CHARACTER SET utf8 COLLATE utf8_turkish_ci NOT NULL,
`address` varchar(250) CHARACTER SET utf8 COLLATE utf8_turkish_ci NOT NULL
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
--
-- Tablo döküm verisi `POOLPOINT`
--
INSERT INTO `POOLPOINT` (`id`, `name`, `address`) VALUES
(1, 'A', 'A'),
(2, 'B', 'B'),
(3, 'C', 'C'),
(4, 'D', 'D'),
(5, 'E', 'E'),
(6, 'F', 'F'),
(7, 'G', 'G'),
(8, 'H', 'H');
-- --------------------------------------------------------
--
-- Tablo için tablo yapısı `PRODUCT`
--
CREATE TABLE `PRODUCT` (
`id` int(11) NOT NULL,
`name` varchar(50) CHARACTER SET utf8 COLLATE utf8_turkish_ci NOT NULL
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
--
-- Tablo döküm verisi `PRODUCT`
--
INSERT INTO `PRODUCT` (`id`, `name`) VALUES
(1, 'yoghurt'),
(2, 'cheese'),
(3, 'milk');
-- --------------------------------------------------------
--
-- Tablo için tablo yapısı `ROAD`
--
CREATE TABLE `ROAD` (
`id` int(11) NOT NULL,
`point1` varchar(100) CHARACTER SET utf8 COLLATE utf8_turkish_ci NOT NULL,
`point2` varchar(100) CHARACTER SET utf8 COLLATE utf8_turkish_ci NOT NULL,
`distance` int(11) NOT NULL
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
--
-- Tablo döküm verisi `ROAD`
--
INSERT INTO `ROAD` (`id`, `point1`, `point2`, `distance`) VALUES
(1, 'A', 'B', 15),
(19, 'E', 'C', 16),
(18, 'C', 'D', 5),
(17, 'B', 'C', 10),
(16, 'B', 'E', 13),
(15, 'F', 'E', 12),
(14, 'F', 'B', 8),
(13, 'A', 'F', 14),
(12, 'A', 'D', 20),
(11, 'A', 'C', 18),
(20, 'E', 'G', 14),
(21, 'C', 'G', 9),
(22, 'C', 'H', 20),
(23, 'D', 'H', 16),
(24, 'G', 'H', 15),
(25, 'E', 'H', 25);
-- --------------------------------------------------------
--
-- Tablo için tablo yapısı `SHIPPING`
--
CREATE TABLE `SHIPPING` (
`id` int(10) NOT NULL,
`create_date` date NOT NULL
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Tablo için tablo yapısı `SHIPPING_DETAIL`
--
CREATE TABLE `SHIPPING_DETAIL` (
`id` int(10) NOT NULL,
`shipping_id` int(10) NOT NULL,
`order_id` int(10) NOT NULL
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Görünüm yapısı durumu `showManageOrder`
-- (Asıl görünüm için aşağıya bakın)
--
CREATE TABLE `showManageOrder` (
`id` int(10)
,`full_name` varchar(50)
,`name` varchar(50)
,`amount` int(10)
,`status` varchar(20)
,`create_date` date
);
-- --------------------------------------------------------
--
-- Görünüm yapısı durumu `showOrderHistory`
-- (Asıl görünüm için aşağıya bakın)
--
CREATE TABLE `showOrderHistory` (
`id` int(10)
,`full_name` varchar(50)
,`name` varchar(50)
,`amount` int(10)
,`status` varchar(20)
,`create_date` date
);
-- --------------------------------------------------------
--
-- Görünüm yapısı durumu `showRouteDraw`
-- (Asıl görünüm için aşağıya bakın)
--
CREATE TABLE `showRouteDraw` (
`id` int(10)
,`full_name` varchar(50)
,`name` varchar(50)
,`amount` int(10)
,`status` varchar(20)
,`create_date` date
);
-- --------------------------------------------------------
--
-- Tablo için tablo yapısı `siparis`
--
CREATE TABLE `siparis` (
`id` int(50) NOT NULL,
`milk` int(10) NOT NULL,
`cheese` int(10) NOT NULL,
`yoghurt` int(10) NOT NULL,
`status` varchar(50) DEFAULT NULL
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
--
-- Tablo döküm verisi `siparis`
--
INSERT INTO `siparis` (`id`, `milk`, `cheese`, `yoghurt`, `status`) VALUES
(33, 2, 3, 2, NULL),
(34, 3, 3, 5, NULL),
(30, 3, 3, 3, NULL),
(31, 0, 0, 0, NULL),
(32, 3, 2, 1, NULL),
(25, 1, 2, 1, 'waiting');
-- --------------------------------------------------------
--
-- Tablo için tablo yapısı `USER`
--
CREATE TABLE `USER` (
`id` int(10) NOT NULL,
`user_name` varchar(50) CHARACTER SET utf8 COLLATE utf8_turkish_ci NOT NULL,
`full_name` varchar(50) CHARACTER SET utf8 COLLATE utf8_turkish_ci NOT NULL,
`address` varchar(250) CHARACTER SET utf8 COLLATE utf8_turkish_ci NOT NULL,
`email` varchar(100) CHARACTER SET utf8 COLLATE utf8_turkish_ci NOT NULL,
`user_type` varchar(20) CHARACTER SET utf8 COLLATE utf8_turkish_ci NOT NULL,
`authority` int(10) NOT NULL,
`password` varchar(100) CHARACTER SET utf8 COLLATE utf8_turkish_ci NOT NULL
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
--
-- Tablo döküm verisi `USER`
--
INSERT INTO `USER` (`id`, `user_name`, `full_name`, `address`, `email`, `user_type`, `authority`, `password`) VALUES
(1, 'hasanemre', 'Hasan Emre ARI', 'Luleburgaz-KIRKLARELI', 'hasanemreari@gmail.com', 'distributor', 2, '123'),
(2, 'okan', 'Okan YILDIRIM', 'Eryaman-ANKARA', 'okanyildirim@gmail.com', 'companyofficial', 1, '123'),
(3, 'ozgur', 'Ozgur AKTAS', 'Kozan-ADANA', 'ozguraktas@gmail.com', 'companyofficial', 1, '123'),
(4, 'fatih', 'Fatih YILMAZ', 'Gaziosmanpaşa-İSTANBUL', 'fatihyilmaz@gmail.com', 'admin', 0, '123'),
(5, 'ali', 'Ali Uçar', 'Kartepe-Kocaeli', 'aliucar@gmail.com', 'distributor', 2, '120'),
(7, 'A', 'A', 'A', 'A@A', 'distributor', 2, '123'),
(8, 'B', 'B', 'B', 'B@B', 'distributor', 2, '123'),
(9, 'C', 'C', 'C', 'C@C', 'distributor', 2, '123'),
(10, 'D', 'D', 'D', 'D@D', 'distributor', 2, '123'),
(11, 'E', 'E', 'E', 'E@E', 'distributor', 2, '123'),
(12, 'F', 'F', 'F', 'F@F', 'distributor', 2, '123'),
(13, 'G', 'G', 'G', 'G@G', 'distributor', 2, '123'),
(14, 'H', 'H', 'H', 'H@H', 'distributor', 2, '123');
-- --------------------------------------------------------
--
-- Görünüm yapısı `manageUser`
--
DROP TABLE IF EXISTS `manageUser`;
CREATE ALGORITHM=UNDEFINED DEFINER=`cpses_al2wm6xkf5`@`localhost` SQL SECURITY DEFINER VIEW `manageUser` AS select `USER`.`id` AS `id`,`USER`.`full_name` AS `full_name`,`USER`.`user_name` AS `user_name`,`USER`.`password` AS `password`,`USER`.`address` AS `address`,`USER`.`email` AS `email`,`USER`.`user_type` AS `user_type` from `USER` ;
-- --------------------------------------------------------
--
-- Görünüm yapısı `showManageOrder`
--
DROP TABLE IF EXISTS `showManageOrder`;
CREATE ALGORITHM=UNDEFINED DEFINER=`cpses_al2wm6xkf5`@`localhost` SQL SECURITY DEFINER VIEW `showManageOrder` AS select `ORDER_DETAIL`.`id` AS `id`,`USER`.`full_name` AS `full_name`,`PRODUCT`.`name` AS `name`,`ORDER_DETAIL`.`amount` AS `amount`,`ORDERS`.`status` AS `status`,`ORDERS`.`create_date` AS `create_date` from (((`ORDER_DETAIL` join `ORDERS` on((`ORDER_DETAIL`.`order_id` = `ORDERS`.`id`))) join `PRODUCT` on((`ORDER_DETAIL`.`product_id` = `PRODUCT`.`id`))) join `USER` on((`ORDERS`.`distributor_id` = `USER`.`id`))) where (`ORDERS`.`create_date` >= (curdate() - interval 7 day)) ;
-- --------------------------------------------------------
--
-- Görünüm yapısı `showOrderHistory`
--
DROP TABLE IF EXISTS `showOrderHistory`;
CREATE ALGORITHM=UNDEFINED DEFINER=`cpses_al2wm6xkf5`@`localhost` SQL SECURITY DEFINER VIEW `showOrderHistory` AS select `ORDER_DETAIL`.`id` AS `id`,`USER`.`full_name` AS `full_name`,`PRODUCT`.`name` AS `name`,`ORDER_DETAIL`.`amount` AS `amount`,`ORDERS`.`status` AS `status`,`ORDERS`.`create_date` AS `create_date` from (((`ORDER_DETAIL` join `ORDERS` on((`ORDER_DETAIL`.`order_id` = `ORDERS`.`id`))) join `PRODUCT` on((`ORDER_DETAIL`.`product_id` = `PRODUCT`.`id`))) join `USER` on((`ORDERS`.`distributor_id` = `USER`.`id`))) where (`ORDERS`.`create_date` < (curdate() - interval 7 day)) ;
-- --------------------------------------------------------
--
-- Görünüm yapısı `showRouteDraw`
--
DROP TABLE IF EXISTS `showRouteDraw`;
CREATE ALGORITHM=UNDEFINED DEFINER=`cpses_al2wm6xkf5`@`localhost` SQL SECURITY DEFINER VIEW `showRouteDraw` AS select `ORDER_DETAIL`.`id` AS `id`,`USER`.`full_name` AS `full_name`,`PRODUCT`.`name` AS `name`,`ORDER_DETAIL`.`amount` AS `amount`,`ORDERS`.`status` AS `status`,`ORDERS`.`create_date` AS `create_date` from (((`ORDER_DETAIL` join `ORDERS` on((`ORDER_DETAIL`.`order_id` = `ORDERS`.`id`))) join `PRODUCT` on((`ORDER_DETAIL`.`product_id` = `PRODUCT`.`id`))) join `USER` on((`ORDERS`.`distributor_id` = `USER`.`id`))) where (`ORDERS`.`create_date` >= (curdate() - interval 7 day)) ;
--
-- Dökümü yapılmış tablolar için indeksler
--
--
-- Tablo için indeksler `MAP`
--
ALTER TABLE `MAP`
ADD PRIMARY KEY (`id`);
--
-- Tablo için indeksler `ORDERS`
--
ALTER TABLE `ORDERS`
ADD PRIMARY KEY (`id`);
--
-- Tablo için indeksler `ORDER_DETAIL`
--
ALTER TABLE `ORDER_DETAIL`
ADD PRIMARY KEY (`id`);
--
-- Tablo için indeksler `POOLPOINT`
--
ALTER TABLE `POOLPOINT`
ADD PRIMARY KEY (`id`);
--
-- Tablo için indeksler `PRODUCT`
--
ALTER TABLE `PRODUCT`
ADD PRIMARY KEY (`id`);
--
-- Tablo için indeksler `ROAD`
--
ALTER TABLE `ROAD`
ADD PRIMARY KEY (`id`);
--
-- Tablo için indeksler `SHIPPING`
--
ALTER TABLE `SHIPPING`
ADD PRIMARY KEY (`id`);
--
-- Tablo için indeksler `SHIPPING_DETAIL`
--
ALTER TABLE `SHIPPING_DETAIL`
ADD PRIMARY KEY (`id`);
--
-- Tablo için indeksler `siparis`
--
ALTER TABLE `siparis`
ADD PRIMARY KEY (`id`);
--
-- Tablo için indeksler `USER`
--
ALTER TABLE `USER`
ADD PRIMARY KEY (`id`);
--
-- Dökümü yapılmış tablolar için AUTO_INCREMENT değeri
--
--
-- Tablo için AUTO_INCREMENT değeri `MAP`
--
ALTER TABLE `MAP`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT;
--
-- Tablo için AUTO_INCREMENT değeri `ORDERS`
--
ALTER TABLE `ORDERS`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=72;
--
-- Tablo için AUTO_INCREMENT değeri `ORDER_DETAIL`
--
ALTER TABLE `ORDER_DETAIL`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=137;
--
-- Tablo için AUTO_INCREMENT değeri `POOLPOINT`
--
ALTER TABLE `POOLPOINT`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=9;
--
-- Tablo için AUTO_INCREMENT değeri `PRODUCT`
--
ALTER TABLE `PRODUCT`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- Tablo için AUTO_INCREMENT değeri `ROAD`
--
ALTER TABLE `ROAD`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=26;
--
-- Tablo için AUTO_INCREMENT değeri `SHIPPING`
--
ALTER TABLE `SHIPPING`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT;
--
-- Tablo için AUTO_INCREMENT değeri `SHIPPING_DETAIL`
--
ALTER TABLE `SHIPPING_DETAIL`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT;
--
-- Tablo için AUTO_INCREMENT değeri `siparis`
--
ALTER TABLE `siparis`
MODIFY `id` int(50) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=35;
--
-- Tablo için AUTO_INCREMENT değeri `USER`
--
ALTER TABLE `USER`
MODIFY `id` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=15;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 */;
|
--별명을 이용한 검색
--SELECT 컬럼 AS "별명", 컬럼 AS "별명", ...
--FROM 테이블;
--1) 각 사원의 이름과 담당업무를 검색하라
SELECT eno 사번, ename 이름, job 업무
FROM emp;
SELECT eno as 사번, ename as 이름, job as 업무
FROM emp;
SELECT eno as "사번", ename as "이름", job as "업무"
FROM emp;
--2) 각 사원의 급여와 1년간 수급하는 급여를 검색하라
SELECT eno 사번, ename 이름, sal*12 "연간 급여"
FROM emp;
--3) 각 사원의 연봉을 검색하라(12개월 급여 + 보너스(comm))
SELECT eno 사번, ename 이름, sal 급여, comm 보너스, sal*12+comm 연봉
FROM emp;
--데이터베이스에서는 0과 null은 전혀 다르다
--0은 값이 0인 것
--null 은 값을 알 수 없다 or 값이 정해지지 않았다의 의미
--이 경우 2가지로 결과를 선택해야 한다
--1) sal*12+comm 으로 연산해서 null 컬럼이 포함되었을때 결과를 null 로 나오게 할지
--2) sal*12+NVL(comm, 0)으로 연산해서 null을 0으로 치환한 후 연산을 할지
4) 각 사원의 연봉을 검색한다(단, null은 0으로 치환한다)
SELECT eno 사번, ename 이름, sal 급여, comm 보너스, sal*12+NVL(comm,0) 연봉
FROM emp; |
CREATE TABLE IF NOT EXISTS log(id INTEGER PRIMARY KEY AUTOINCREMENT, user TEXT, pwd TEXT);
INSERT INTO log(id, user, pwd) VALUES (1,'admin', 'password');
INSERT INTO log(id, user, pwd) VALUES (2,'user', '1234'); |
-- CONNECT WITH BASKET_USER@BASKET_PWD
DROP TYPE T_LOCATION FORCE;
DROP TYPE T_MATCH FORCE;
DROP TYPE T_SEASON FORCE;
DROP TYPE T_SCOREDETAILS FORCE;
DROP TYPE T_SCOREDETAIL FORCE;
DROP TYPE T_TEAM_WITH_PLAYER FORCE;
DROP TYPE T_COACH FORCE;
DROP TYPE T_TEAM_WITH_COACH FORCE;
DROP TYPE T_PLAYER FORCE;
DROP TYPE T_TEAM_MANY FORCE;
DROP TYPE T_TEAMS FORCE;
DROP TYPE T_TEAM FORCE;
DROP TYPE T_CATEGORIES FORCE;
DROP TYPE T_CATEGORY FORCE;
DROP TYPE T_CLUB FORCE;
DROP TYPE T_SECRETARY FORCE;
DROP TYPE T_TREASURER FORCE;
DROP TYPE T_VICE_PRESIDENT FORCE;
DROP TYPE T_PRESIDENT FORCE;
DROP TYPE T_PERSON FORCE;
DROP TYPE T_OFFICE FORCE;
DROP TYPE T_ADDRESS FORCE;
DROP TYPE T_USER FORCE;
CREATE OR REPLACE TYPE T_LOCATION AS OBJECT
(
ID INT,
loc SDO_GEOMETRY,
DELETED INT,
MEMBER FUNCTION distance(locObj IN T_LOCATION) RETURN number
) not final
/
CREATE OR REPLACE TYPE BODY T_LOCATION AS
MEMBER FUNCTION distance(locObj T_LOCATION) RETURN NUMBER IS
d number;
BEGIN
select SDO_GEOM.SDO_DISTANCE(self.loc, locObj.loc, 1, 'unit=km') into d from dual;
return d;
END;
END;
/
CREATE OR REPLACE TYPE T_USER AS OBJECT
(
ID INT,
USERNAME VARCHAR(50),
PASSWORD VARCHAR(50),
DELETED INT
)
/
CREATE OR REPLACE TYPE T_ADDRESS AS OBJECT
(
ADDRESS_NUMBER VARCHAR(50),
ADDRESS_STREET VARCHAR(50),
ADDRESS_DISTRICT VARCHAR(50),
ADDRESS_CITY VARCHAR(50)
)
/
CREATE OR REPLACE TYPE T_OFFICE UNDER T_LOCATION
(
OFFICE_NAME VARCHAR (50),
OFFICE_ADDRESS T_ADDRESS
)
/
CREATE OR REPLACE TYPE T_PERSON AS OBJECT
(
ID INT,
PERSON_NAME VARCHAR(50),
DELETED INT
) NOT FINAL NOT INSTANTIABLE
/
CREATE OR REPLACE TYPE T_PRESIDENT UNDER T_PERSON()
/
CREATE OR REPLACE TYPE T_VICE_PRESIDENT UNDER T_PERSON()
/
CREATE OR REPLACE TYPE T_TREASURER UNDER T_PERSON()
/
CREATE OR REPLACE TYPE T_SECRETARY UNDER T_PERSON()
/
CREATE OR REPLACE TYPE T_TEAM AS OBJECT
(
ID INT,
TEAM_NAME VARCHAR(50),
DELETED INT
)
/
CREATE TYPE T_TEAMS AS TABLE OF T_TEAM;
/
CREATE OR REPLACE TYPE T_CATEGORY AS OBJECT
(
ID INT,
CATEGORY_NAME VARCHAR(50),
LISTTEAM T_TEAMS,
DELETED INT
)
/
CREATE TYPE T_CATEGORIES AS TABLE OF T_CATEGORY
/
CREATE OR REPLACE TYPE T_CLUB AS OBJECT
(
ID INT,
CLUB_NAME VARCHAR(50),
CLUB_OFFICE REF T_OFFICE,
CLUB_PRESIDENT REF T_PRESIDENT,
CLUB_VICE_PRESIDENT REF T_VICE_PRESIDENT,
CLUB_TREASURER REF T_TREASURER,
CLUB_SECRETARY REF T_SECRETARY,
LISTCATEGORY T_CATEGORIES,
DELETED INT
)
/
CREATE OR REPLACE TYPE T_TEAM_MANY AS OBJECT -- MANY - MANY TABLE
(
MANY_TEAM REF T_TEAM,
START_DATE DATE,
END_DATE DATE
) NOT FINAL;
/
CREATE OR REPLACE TYPE T_TEAM_WITH_COACH AS TABLE OF T_TEAM_MANY; -- INNER TABLE
/
CREATE OR REPLACE TYPE T_COACH UNDER T_PERSON
(
TEAM_WITH_COACH T_TEAM_WITH_COACH -- STORE ALL TEAM OF THIS COACH
) NOT FINAL;
/
CREATE OR REPLACE TYPE T_TEAM_WITH_PLAYER AS TABLE OF T_TEAM_MANY; -- INNER TABLE
/
CREATE OR REPLACE TYPE T_PLAYER UNDER T_PERSON
(
PLAYER_LICENCE_NUMBER VARCHAR(50),
PLAYER_BIRTHDAY DATE,
PLAYER_ADDRESS T_ADDRESS,
TEAM_WITH_PLAYERS T_TEAM_WITH_PLAYER -- STORE ALL TEAM OF THIS PLAYER
) NOT FINAL;
/
CREATE OR REPLACE TYPE T_SCOREDETAIL AS OBJECT
(
ID INT,
TEAM REF T_TEAM,
PLAYER REF T_PLAYER,
VALUE INT
)
/
CREATE TYPE T_SCOREDETAILS AS TABLE OF T_SCOREDETAIL;
/
CREATE OR REPLACE TYPE T_SEASON AS OBJECT
(
ID INT,
SEASON_NAME VARCHAR(50),
SEASON_STARTDATE DATE,
SEASON_ENDDATE DATE,
DELETED INT
)
/
CREATE OR REPLACE TYPE T_MATCH AS OBJECT
(
ID INT,
MATCH_DATE DATE,
TEAM1 REF T_TEAM,
TEAM2 REF T_TEAM,
SEASON REF T_SEASON,
DETAILS T_SCOREDETAILS,
DELETED INT
)
/
COMMIT; |
INSERT INTO PRODUCTTABLE VALUES(1,300.0,20.0,10.80,'mouse');
INSERT INTO PRODUCTTABLE VALUES(2,200.0,20.0,10.80,'keyboard');
INSERT INTO PRODUCTTABLE VALUES(3,100.0,20.0,10.80,'mobile');
INSERT INTO PRODUCTTABLE VALUES(4,700.0,20.0,10.80,'watch');
INSERT INTO PRODUCTTABLE VALUES(5,800.0,20.0,10.80,'System'); |
--Provide a query that shows the top 3 best selling artists.
select a.Name, count(i.TrackId) as NumberSold
from InvoiceLine i, Track t, Album b, Artist a
where i.TrackId = t.TrackId
and b.ArtistId = a.ArtistId
and t.AlbumId = b.AlbumId
group by a.ArtistId
order by NumberSold desc limit 3 |
SELECT a.id, a.title, a.content, a.picture, a.date_publish, u.firstname, u.lastname
FROM articles a LEFT JOIN users u
ON a.id_user = u.id
WHERE a.id=10; |
CREATE TABLE `graffiti` (
`graffitiid` int(4) unsigned NOT NULL AUTO_INCREMENT,
`postid` int(4) unsigned NOT NULL,
`userid` varchar(20) NOT NULL,
`graffitipath` text NOT NULL,
`graffititdate` datetime NOT NULL,
`graffitiip` int(4) unsigned NOT NULL,
PRIMARY KEY (`graffitiid`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8;
|
create view V@P1@@P2@_@AA@ ( drawon, @P1@, @P2@, N ) as
select eventon, @P1@, @P2@, @AA@ from PlanetPos where 1 in ( select count(*) from SGToto where N = @AA@ and eventOn = drawon )
union
select eventon, @P1@, @P2@, 0 from PlanetPos where eventon < ( select max(drawon) from SGToto ) and 0 in ( select count(*) from SGToto where N = @AA@ and eventOn = drawon ) ;
|
--liquibase formatted sql
DROP TABLE IF EXISTS dbo.subcategory;
CREATE TABLE subcategory(
id BIGSERIAL NOT NULL,
title VARCHAR UNIQUE NOT NULL,
PRIMARY KEY(id)
) |
INSERT INTO Employee VALUES('Andy', 5000.00);
INSERT INTO Employee VALUES('Bob', 3500.00);
INSERT INTO Employee VALUES('Cathy', 4000.00);
INSERT INTO Employee VALUES('Daniel', 5000.00);
INSERT INTO Employee VALUES('Eden', 3500.00);
INSERT INTO Employee VALUES('Edison', 2000.00);
INSERT INTO Employee VALUES('Michael', 3200.00);
INSERT INTO Employee VALUES('Iiern', 4000.00);
INSERT INTO Employee VALUES('Jennifer', 3800.00);
INSERT INTO Employee VALUES('Tenessee', 3200.00);
INSERT INTO Employee VALUES('Khristopher', 3400.00);
INSERT INTO Employee VALUES('Nelson', 3420.00);
INSERT INTO Employee VALUES('Otovan',3450.00);
INSERT INTO Employee VALUES('Pillip', 3480.00);
INSERT INTO Employee VALUES('Quinn', 3490.00);
INSERT INTO Employee VALUES('Rose', 3500.00);
INSERT INTO Employee VALUES('Silvia', 3540.00);
INSERT INTO Employee VALUES('Unica', 3600.00);
INSERT INTO Employee VALUES('Veronica', 3700.00);
INSERT INTO Employee VALUES('William', 3800.00);
INSERT INTO Employee VALUES('Xander', 3750.00);
INSERT INTO Complaint_Staff VALUES(1);
INSERT INTO Complaint_Staff VALUES(3);
INSERT INTO Complaint_Staff VALUES(5);
INSERT INTO Complaint_Staff VALUES(6);
INSERT INTO Complaint_Staff VALUES(9);
INSERT INTO Complaint_Staff VALUES(10);
INSERT INTO Complaint_Staff VALUES(12);
INSERT INTO Complaint_Staff VALUES(13);
INSERT INTO Complaint_Staff VALUES(14);
INSERT INTO Complaint_Staff VALUES(15);
INSERT INTO Complaint_Staff VALUES(16);
INSERT INTO Complaint_Staff VALUES(17);
INSERT INTO Users VALUES('Muhammad Salleh', 'Gold');
INSERT INTO Users VALUES('Joshen Lim', 'Gold');
INSERT INTO Users VALUES('James Ng', 'Silver');
INSERT INTO Users VALUES('Kenneth', 'Silver');
INSERT INTO Users VALUES('Bryan', 'Bronze');
INSERT INTO Users VALUES('Jia Ying', 'Silver');
INSERT INTO Users VALUES('Christopher', 'Bronze');
INSERT INTO Users VALUES('Cedric', 'Gold');
INSERT INTO Users VALUES('Julia', 'Silver');
INSERT INTO Users VALUES('Mila', 'Silver');
INSERT INTO Users VALUES('Alex', 'Gold');
INSERT INTO Users VALUES('Bruce', 'Bronze');
INSERT INTO Users VALUES('Carrie', 'Bronze');
INSERT INTO Users VALUES('Dennis','Bronze');
INSERT INTO Users VALUES('Eileen','Bronze');
INSERT INTO Users VALUES('Felicia','Silver');
INSERT INTO Users VALUES('Gary','Silver');
INSERT INTO Users VALUES('Harvey','Bronze');
INSERT INTO Users VALUES('Ivy','Bronze');
INSERT INTO Products VALUES('iPhone XS Max', 'Apple', 'Mobile Phone');
INSERT INTO Products VALUES('iPhone XS', 'Apple', 'Mobile Phone');
INSERT INTO Products VALUES('iPhone XR', 'Apple', 'Mobile Phone');
INSERT INTO Products VALUES('iPhone X', 'Apple', 'Mobile Phone');
INSERT INTO Products VALUES('iPhone SE', 'Apple', 'Mobile Phone');
INSERT INTO Products VALUES('iPhone 8 Plus', 'Apple', 'Mobile Phone');
INSERT INTO Products VALUES('iPhone 8', 'Apple', 'Mobile Phone');
INSERT INTO Products VALUES('iPhone 7 Plus', 'Apple', 'Mobile Phone');
INSERT INTO Products VALUES('iPhone 7', 'Apple', 'Mobile Phone');
INSERT INTO Products VALUES('Galaxy S9', 'Samsung', 'Mobile Phone');
INSERT INTO Products VALUES('Galaxy S8', 'Samsung', 'Mobile Phone');
INSERT INTO Products VALUES('Galaxy S7', 'Samsung', 'Mobile Phone');
INSERT INTO Products VALUES('Galaxy S6', 'Samsung', 'Mobile Phone');
INSERT INTO Products VALUES('KAVAL Hoodie', 'Adidas', 'Sports Wear');
INSERT INTO Products VALUES('KAVAL Cap', 'Adidas', 'Sports Wear');
INSERT INTO Products VALUES('Pureboost RBL Shoes', 'Adidas', 'Sports Wear');
INSERT INTO Products VALUES('Ultraboost Shoes', 'Adidas', 'Sports Wear');
INSERT INTO Products VALUES('Quickdrive Washing Machine','Samsung','Home Appliances');
INSERT INTO Products VALUES('Ecobubble Washing Machine','Samsung','Home Appliances');
INSERT INTO Shops VALUES('Nubox', 'Singapore''s Apple Premium Reseller', 'Singapore');
INSERT INTO Shops VALUES('iStudio', 'Apple Premium Reseller for all Apple products', 'Singapore');
INSERT INTO Shops VALUES('Singtel', 'Singapore''s largest mobile network operator', 'Singapore');
INSERT INTO Shops VALUES('Adidas', 'Through sport, we have the power to change lives', 'Germany');
INSERT INTO Shops VALUES('Uniqlo', 'Providing casual clothes for all kinds of events', 'Japan');
INSERT INTO Shops VALUES('H&M', 'One of the world''s leading fashion company', 'Sweden');
INSERT INTO Shops VALUES('Royal Sporting House', 'Leading multi-brand sports retailer', 'Singapore');
INSERT INTO Shops VALUES('Popular', 'Leading Bookstore Chain that publishes, distributes and retails books', 'Singapore');
INSERT INTO Shops VALUES('Watsons', 'Covering your healthcare and beauty needs', 'Hong Kong');
INSERT INTO Shops VALUES('Guardian', 'Health and beauty brands online from Guardian', 'Singapore');
INSERT INTO Shops VALUES('Starhub','Singapore''s 2nd largest mobile network operator','Singapore');
INSERT INTO Shops VALUES('COURTS', 'We sell Samsung products and soft sofas','Singapore');
INSERT INTO Shops VALUES('TV ARENA', 'We sell all types of TVs in SG','Singapore');
INSERT INTO Shops VALUES('Family House', 'Taking care of your home applicances needs', 'Singapore');
INSERT INTO Shops VALUES('Home Buy', 'Taking care of your home applicances needs', 'Singapore');
INSERT INTO Shops VALUES('Phone Buy', 'Singapore''s Apple Reseller', 'Singapore');
INSERT INTO Shops VALUES('iChallenger', 'We sell Apple Reseller', 'Singapore')
INSERT INTO Inventory VALUES('Nubox', 'iPhone X', 500);
INSERT INTO Inventory VALUES('Nubox', 'iPhone XS', 600);
INSERT INTO Inventory VALUES('Nubox', 'Galaxy S9', 550);
INSERT INTO Inventory VALUES('Nubox', 'Galaxy S7', 600);
INSERT INTO Inventory VALUES('Nubox', 'Galaxy S6', 600);
INSERT INTO Inventory VALUES('iStudio', 'iPhone X', 600);
INSERT INTO Inventory VALUES('iStudio', 'iPhone XS', 650);
INSERT INTO Inventory VALUES('iStudio', 'iPhone XR', 900);
INSERT INTO Inventory VALUES('Royal Sporting House', 'Ultraboost Shoes', 550);
INSERT INTO Inventory VALUES('Royal Sporting House', 'KAVAL Hoodie', 570);
INSERT INTO Inventory VALUES('Royal Sporting House', 'KAVAL Cap', 584);
INSERT INTO Inventory VALUES('Adidas', 'Ultraboost Shoes', 593);
INSERT INTO Inventory VALUES('Adidas', 'Pureboost RBL Shoes', 585);
INSERT INTO Inventory VALUES('Family House','Quickdrive Washing Machine', 510);
INSERT INTO Inventory VALUES('Family House','Ecobubble Washing Machine', 510);
INSERT INTO Inventory VALUES('Phone Buy', 'iPhone X', 500);
INSERT INTO Inventory VALUES('Phone Buy', 'iPhone XS', 500);
INSERT INTO Inventory VALUES('Phone Buy', 'iPhone XR', 700);
INSERT INTO Inventory VALUES('iChallenger', 'iPhone X', 500);
INSERT INTO Inventory VALUES('iChallenger', 'iPhone XS', 650);
INSERT INTO Inventory VALUES('iChallenger', 'iPhone XR', 570);
--user_id = 1 make 1 orders (from order_id = 1 to 1)
INSERT INTO Orders(created_at, user_id) VALUES('2018-06-01 23:00:26.726', 1);
--user_id = 1 make 1 orders (from order_id = 2 to 2)
INSERT INTO Orders(created_at, user_id) VALUES('2018-06-03 15:47:48.746', 1);
--user_id = 2 make 1 orders (from order_id = 3 to 3)
INSERT INTO Orders(created_at, user_id) VALUES('2018-06-10 13:14:36.744', 2);
--user_id = 3 make 1 orders (from order_id = 4 to 4)
INSERT INTO Orders(created_at, user_id) VALUES('2018-06-13 11:21:19.874', 3);
--user_id = 4 make 1 orders (from order_id = 5 to 5)
INSERT INTO Orders(created_at, user_id) VALUES('2018-06-15 22:56:12.945', 4);
--user_id = 5 make 1 orders (from order_id = 6 to 6)
INSERT INTO Orders(created_at, user_id) VALUES('2018-06-16 21:49:59.609', 5);
--user_id = 6 make 1 orders (from order_id = 7 to 7)
INSERT INTO Orders(created_at, user_id) VALUES('2018-06-11 10:53:35.143', 6);
--user_id = 7 make 1 orders (from order_id = 8 to 8)
INSERT INTO Orders(created_at, user_id) VALUES('2018-06-19 16:20:10.349', 7);
--user_id = 8 make 1 orders (from order_id = 9 to 9)
INSERT INTO Orders(created_at, user_id) VALUES('2018-06-21 16:01:51.492', 8);
--user_id = 9 make 4 orders (from order_id = 10 to 13)
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-02 06:20:13.247', 9);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-03 17:06:25.503', 9);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-04 08:13:06.771', 9);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-05 14:30:27.407', 9);
--user_id = 9 make 4 orders (from order_id = 11 to 14)
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-03 03:16:50.573', 9);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-04 13:41:24.985', 9);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-05 00:40:53.491', 9);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-06 23:37:44.851', 9);
--user_id = 10 make 4 orders (from order_id = 18 to 21)
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-05 22:40:20.642', 10);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-06 19:17:06.781', 10);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-07 07:22:09.877', 10);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-08 20:35:57.799', 10);
--user_id = 10 make 4 orders (from order_id = 22 to 25)
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-06 17:52:42.298', 10);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-07 06:26:39.121', 10);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-08 04:07:57.027', 10);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-09 08:29:23.832', 10);
--user_id = 11 make 4 orders (from order_id = 26 to 29)
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-09 12:22:51.947', 11);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-10 12:53:29.295', 11);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-11 00:35:07.673', 11);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-12 22:14:50.637', 11);
--user_id = 11 make 4 orders (from order_id = 30 to 33)
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-10 06:39:43.358', 11);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-11 01:05:00.622', 11);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-12 08:18:03.640', 11);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-13 09:04:50.528', 11);
--user_id = 12 make 4 orders (from order_id = 34 to 37)
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-12 11:46:21.440', 12);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-13 04:23:28.649', 12);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-14 01:11:46.338', 12);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-15 14:01:43.624', 12);
--user_id = 12 make 4 orders (from order_id = 38 to 41)
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-12 19:20:15.955', 12);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-13 02:22:09.050', 12);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-14 22:46:35.108', 12);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-15 10:50:43.645', 12);
--user_id = 13 make 4 orders (from order_id = 42 to 45)
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-11 01:36:38.658', 13);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-12 23:36:10.482', 13);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-13 10:16:21.077', 13);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-14 22:25:23.487', 13);
--user_id = 14 make 4 orders (from order_id = 46 to 49)
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-13 08:23:12.257', 14);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-14 22:04:12.692', 14);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-15 02:14:40.474', 14);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-16 09:25:58.863', 14);
--user_id = 15 make 4 orders (from order_id = 50 to 53)
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-14 07:00:30.147', 15);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-15 05:39:27.185', 15);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-16 10:00:00.820', 15);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-17 05:55:24.856', 15);
--user_id = 16 make 4 orders (from order_id = 54 to 57)
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-15 10:33:15.249', 16);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-16 13:12:55.491', 16);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-17 23:46:36.263', 16);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-18 11:02:32.277', 16);
--user_id = 17 make 4 orders (from order_id = 58 to 61)
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-16 15:00:11.112', 17);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-17 04:23:25.846', 17);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-18 08:51:37.976', 17);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-19 03:19:47.282', 17);
--user_id = 18 make 4 orders (from order_id = 62 to 65)
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-19 14:57:44.963', 18);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-20 15:46:49.383', 18);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-21 21:32:18.470', 18);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-22 22:01:52.499', 18);
--user_id = 19 make 4 orders (from order_id = 66 to 69)
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-20 17:16:57.597', 19);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-21 21:34:17.166', 19);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-22 03:06:20.540', 19);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-23 10:59:37.393', 19);
--user_id = 1 make 10 orders (from order_id = 70 to 79)
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-13 18:48:04.729', 1);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-14 12:51:09.676', 1);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-15 23:08:26.565', 1);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-16 16:41:20.962', 1);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-17 13:49:48.021', 1);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-18 00:23:01.292', 1);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-19 05:38:34.534', 1);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-20 05:25:20.221', 1);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-21 16:33:04.375', 1);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-22 12:35:36.611', 1);
--user_id = 2 make 10 orders (from order_id = 80 to 89)
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-10 17:50:06.050', 2);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-11 11:07:07.951', 2);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-12 06:35:22.650', 2);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-13 04:26:16.648', 2);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-14 08:45:07.089', 2);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-15 07:17:40.305', 2);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-16 04:28:03.059', 2);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-17 08:48:25.01', 2);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-18 04:50:29.955', 2);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-19 07:19:52.727', 2);
--user_id = 3 make 10 orders (from order_id = 90 to 99)
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-09 09:13:07.850', 3);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-10 05:03:08.264', 3);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-11 22:26:42.361', 3);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-12 09:28:14.521', 3);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-13 05:25:39.580', 3);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-14 03:28:43.307', 3);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-15 00:36:40.615', 3);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-16 08:56:06.888', 3);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-17 22:22:25.453', 3);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-18 02:32:40.105', 3);
--user_id = 4 make 10 orders (from order_id = 100 to 109)
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-07 22:13:04.337', 4);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-08 11:31:13.779', 4);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-09 13:30:01.450', 4);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-10 14:32:09.134', 4);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-11 10:59:24.334', 4);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-12 19:06:40.411', 4);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-13 18:26:36.625', 4);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-14 13:17:18.185', 4);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-15 04:11:52.644', 4);
INSERT INTO Orders(created_at, user_id) VALUES('2018-08-16 20:14:07.389', 4);
--order_id = 1, user_id = 1 with created_at date of 2018-6-1
INSERT INTO Order_Items VALUES(1, 'DELIVERED', '2018-06-05 00:56:07.962', 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(1, 'DELIVERED', '2018-06-15 13:52:10.266', 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(1, 'DELIVERED', '2018-06-19 20:13:25.467', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(1, 'DELIVERED', '2018-06-28 21:50:18.540', 'Royal Sporting House', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(1, 'DELIVERED', '2018-06-21 10:34:47.377', 'Royal Sporting House', 'KAVAL Hoodie');
INSERT INTO Order_Items VALUES(1, 'DELIVERED', '2018-06-18 00:29:10.813', 'Royal Sporting House', 'KAVAL Cap');
INSERT INTO Order_Items VALUES(1, 'BEING_PROCESSED', NULL, 'Adidas', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(1, 'DELIVERED', '2018-06-29 21:49:21.357', 'Adidas', 'Pureboost RBL Shoes');
INSERT INTO Order_Items VALUES(1, 'DELIVERED', '2018-06-02 00:00:35.870', 'Family House','Quickdrive Washing Machine');
INSERT INTO Order_Items VALUES(1, 'DELIVERED', '2018-06-27 23:56:10.310', 'Family House','Ecobubble Washing Machine');
--order_id = 2, user_id = 1 with created_at date of 2018-6-3
INSERT INTO Order_Items VALUES(2, 'DELIVERED', '2018-06-04 19:15:20.863', 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(2, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(2, 'DELIVERED', '2018-06-12 02:32:43.531', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(2, 'DELIVERED', '2018-06-08 10:42:45.060', 'Royal Sporting House', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(2, 'BEING_PROCESSED', NULL, 'Royal Sporting House', 'KAVAL Hoodie');
INSERT INTO Order_Items VALUES(2, 'DELIVERED', '2018-06-04 10:54:18.616', 'Royal Sporting House', 'KAVAL Cap');
INSERT INTO Order_Items VALUES(2, 'DELIVERED', '2018-06-06 00:07:01.606', 'Adidas', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(2, 'DELIVERED', '2018-06-26 16:56:59.148', 'Adidas', 'Pureboost RBL Shoes');
INSERT INTO Order_Items VALUES(2, 'DELIVERED', '2018-06-14 10:09:24.577', 'Family House','Quickdrive Washing Machine');
INSERT INTO Order_Items VALUES(2, 'BEING_PROCESSED', NULL, 'Family House','Ecobubble Washing Machine');
--order_id = 3, user_id = 2 with created_at date of 2018-6-10
INSERT INTO Order_Items VALUES(3, 'DELIVERED', '2018-06-26 00:18:31.398', 'Nubox', 'Galaxy S7');
INSERT INTO Order_Items VALUES(3, 'BEING_PROCESSED', NULL, 'Nubox', 'Galaxy S6');
INSERT INTO Order_Items VALUES(3, 'DELIVERED', '2018-06-11 01:13:39.768', 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(3, 'DELIVERED', '2018-06-22 15:54:28.118', 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(3, 'DELIVERED', '2018-06-28 07:42:38.113', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(3, 'DELIVERED', '2018-06-23 23:52:53.227', 'Royal Sporting House', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(3, 'DELIVERED', '2018-06-21 14:17:25.103', 'Royal Sporting House', 'KAVAL Hoodie');
INSERT INTO Order_Items VALUES(3, 'DELIVERED', '2018-06-17 16:00:46.657', 'Royal Sporting House', 'KAVAL Cap');
INSERT INTO Order_Items VALUES(3, 'DELIVERED', '2018-06-15 15:34:26.403', 'Adidas', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(3, 'DELIVERED', '2018-06-18 11:50:59.996', 'Adidas', 'Pureboost RBL Shoes');
--order_id = 4, user_id = 3 with created_at date of 2018-6-13
INSERT INTO Order_Items VALUES(4, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(4, 'SHIPPED', NULL, 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(4, 'DELIVERED', '2018-06-19 14:18:27.260', 'Royal Sporting House', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(4, 'DELIVERED', '2018-06-27 10:26:13.054', 'Royal Sporting House', 'KAVAL Hoodie');
INSERT INTO Order_Items VALUES(4, 'DELIVERED', '2018-06-14 01:50:03.209', 'Royal Sporting House', 'KAVAL Cap');
INSERT INTO Order_Items VALUES(4, 'DELIVERED', '2018-06-27 18:56:43.203', 'Adidas', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(4, 'BEING_PROCESSED', NULL, 'Adidas', 'Pureboost RBL Shoes');
INSERT INTO Order_Items VALUES(4, 'BEING_PROCESSED', NULL, 'Family House','Quickdrive Washing Machine');
INSERT INTO Order_Items VALUES(4, 'DELIVERED', '2018-06-28 03:45:12.841', 'Family House','Ecobubble Washing Machine');
INSERT INTO Order_Items VALUES(4, 'DELIVERED', '2018-06-24 23:51:23.244', 'Phone Buy', 'iPhone X');
--order_id = 5, user_id = 4 with created_at date of 2018-6-15
INSERT INTO Order_Items VALUES(5, 'DELIVERED', '2018-06-16 21:39:16.066', 'Nubox', 'Galaxy S9');
INSERT INTO Order_Items VALUES(5, 'BEING_PROCESSED', NULL, 'Nubox', 'Galaxy S7');
INSERT INTO Order_Items VALUES(5, 'DELIVERED', '2018-06-25 19:33:29.492', 'Nubox', 'Galaxy S6');
INSERT INTO Order_Items VALUES(5, 'DELIVERED', '2018-06-17 22:23:30.295', 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(5, 'DELIVERED', '2018-06-23 22:09:36.288', 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(5, 'DELIVERED', '2018-06-28 18:24:47.710', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(5, 'BEING_PROCESSED', NULL, 'Royal Sporting House', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(5, 'DELIVERED', '2018-06-19 10:04:33.064', 'Royal Sporting House', 'KAVAL Hoodie');
INSERT INTO Order_Items VALUES(5, 'DELIVERED', '2018-06-24 05:26:59.275', 'Royal Sporting House', 'KAVAL Cap');
INSERT INTO Order_Items VALUES(5, 'DELIVERED', '2018-06-18 10:47:33.464', 'Adidas', 'Ultraboost Shoes');
--order_id = 6, user_id = 5 with created_at date of 2018-6-16
INSERT INTO Order_Items VALUES(6, 'DELIVERED', '2018-06-26 06:44:41.647', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(6, 'BEING_PROCESSED', NULL, 'Royal Sporting House', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(6, 'DELIVERED', '2018-06-20 17:25:43.010', 'Royal Sporting House', 'KAVAL Hoodie');
INSERT INTO Order_Items VALUES(6, 'DELIVERED', '2018-06-22 01:30:46.655', 'Royal Sporting House', 'KAVAL Cap');
INSERT INTO Order_Items VALUES(6, 'DELIVERED', '2018-06-21 19:21:12.557', 'Adidas', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(6, 'DELIVERED', '2018-06-24 05:58:56.992', 'Adidas', 'Pureboost RBL Shoes');
INSERT INTO Order_Items VALUES(6, 'BEING_PROCESSED', NULL, 'Family House','Quickdrive Washing Machine');
INSERT INTO Order_Items VALUES(6, 'DELIVERED', '2018-06-27 06:57:36.570', 'Family House','Ecobubble Washing Machine');
INSERT INTO Order_Items VALUES(6, 'DELIVERED', '2018-06-28 15:45:37.493', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(6, 'DELIVERED', '2018-06-27 00:35:17.046', 'Phone Buy', 'iPhone XS');
--order_id = 7, user_id = 6 with created_at date of 2018-6-11
INSERT INTO Order_Items VALUES(7, 'DELIVERED', '2018-06-18 03:44:07.355', 'Royal Sporting House', 'KAVAL Hoodie');
INSERT INTO Order_Items VALUES(7, 'DELIVERED', '2018-06-28 01:21:52.427', 'Royal Sporting House', 'KAVAL Cap');
INSERT INTO Order_Items VALUES(7, 'DELIVERED', '2018-06-18 19:23:54.888', 'Adidas', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(7, 'DELIVERED', '2018-06-25 09:05:00.104', 'Adidas', 'Pureboost RBL Shoes');
INSERT INTO Order_Items VALUES(7, 'BEING_PROCESSED', NULL, 'Family House','Quickdrive Washing Machine');
INSERT INTO Order_Items VALUES(7, 'DELIVERED', '2018-06-27 10:38:03.307', 'Family House','Ecobubble Washing Machine');
INSERT INTO Order_Items VALUES(7, 'DELIVERED', '2018-06-27 08:00:22.267', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(7, 'DELIVERED', '2018-06-12 04:14:35.325', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(7, 'DELIVERED', '2018-06-26 22:47:16.516', 'Phone Buy', 'iPhone XR');
INSERT INTO Order_Items VALUES(7, 'BEING_PROCESSED', NULL, 'iChallenger', 'iPhone X');
--order_id = 8, user_id = 7 with created_at date of 2018-6-19
INSERT INTO Order_Items VALUES(8, 'DELIVERED', '2018-06-23 01:53:46.596', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(8, 'BEING_PROCESSED', NULL, 'Royal Sporting House', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(8, 'BEING_PROCESSED', NULL, 'Royal Sporting House', 'KAVAL Hoodie');
INSERT INTO Order_Items VALUES(8, 'DELIVERED', '2018-06-24 17:08:39.388', 'Royal Sporting House', 'KAVAL Cap');
INSERT INTO Order_Items VALUES(8, 'DELIVERED', '2018-06-22 22:24:24.209', 'Adidas', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(8, 'DELIVERED', '2018-06-23 18:26:36.716', 'Adidas', 'Pureboost RBL Shoes');
INSERT INTO Order_Items VALUES(8, 'DELIVERED', '2018-06-20 07:59:22.945', 'Family House','Quickdrive Washing Machine');
INSERT INTO Order_Items VALUES(8, 'DELIVERED', '2018-06-20 08:19:55.553', 'Family House','Ecobubble Washing Machine');
INSERT INTO Order_Items VALUES(8, 'DELIVERED', '2018-06-25 01:59:50.766', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(8, 'DELIVERED', '2018-06-23 16:18:44.460', 'Phone Buy', 'iPhone XS');
--order_id = 9, user_id = 8 with created_at date of 2018-6-21
INSERT INTO Order_Items VALUES(9, 'BEING_PROCESSED', NULL, 'Royal Sporting House', 'KAVAL Cap');
INSERT INTO Order_Items VALUES(9, 'DELIVERED', '2018-06-26 07:28:52.527', 'Adidas', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(9, 'DELIVERED', '2018-06-23 08:42:39.034', 'Adidas', 'Pureboost RBL Shoes');
INSERT INTO Order_Items VALUES(9, 'DELIVERED', '2018-06-28 22:00:25.188', 'Family House','Quickdrive Washing Machine');
INSERT INTO Order_Items VALUES(9, 'DELIVERED', '2018-06-24 22:45:04.920', 'Family House','Ecobubble Washing Machine');
INSERT INTO Order_Items VALUES(9, 'DELIVERED', '2018-06-24 06:04:54.769', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(9, 'DELIVERED', '2018-06-25 15:22:02.254', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(9, 'DELIVERED', '2018-06-27 20:23:12.245', 'Phone Buy', 'iPhone XR');
INSERT INTO Order_Items VALUES(9, 'BEING_PROCESSED', NULL, 'iChallenger', 'iPhone X');
INSERT INTO Order_Items VALUES(9, 'BEING_PROCESSED', NULL, 'iChallenger', 'iPhone XS');
--order_id = 10, user_id = 9 with created_at date of 2018-8-2
INSERT INTO Order_Items VALUES(10, 'DELIVERED', '2018-08-11 15:47:38.135', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(10, 'DELIVERED', '2018-08-05 15:23:22.143', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(10, 'DELIVERED', '2018-08-27 10:11:10.727', 'Phone Buy', 'iPhone XR');
INSERT INTO Order_Items VALUES(10, 'DELIVERED', '2018-08-27 04:02:44.561', 'iChallenger', 'iPhone X');
INSERT INTO Order_Items VALUES(10, 'DELIVERED', '2018-08-05 22:16:01.575', 'iChallenger', 'iPhone XS');
--order_id = 11, user_id = 9 with created_at date of 2018-8-3
INSERT INTO Order_Items VALUES(11, 'DELIVERED', '2018-08-09 08:17:40.076', 'Family House','Quickdrive Washing Machine');
INSERT INTO Order_Items VALUES(11, 'BEING_PROCESSED', NULL, 'Family House','Ecobubble Washing Machine');
INSERT INTO Order_Items VALUES(11, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(11, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(11, 'DELIVERED', '2018-08-27 01:12:46.398', 'Phone Buy', 'iPhone XR');
--order_id = 12, user_id = 9 with created_at date of 2018-8-4
INSERT INTO Order_Items VALUES(12, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(12, 'DELIVERED', '2018-08-12 01:35:49.050', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(12, 'BEING_PROCESSED', NULL, 'Royal Sporting House', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(12, 'DELIVERED', '2018-08-19 02:35:33.307', 'Royal Sporting House', 'KAVAL Hoodie');
INSERT INTO Order_Items VALUES(12, 'DELIVERED', '2018-08-26 15:41:06.603', 'Royal Sporting House', 'KAVAL Cap');
--order_id = 13, user_id = 9 with created_at date of 2018-8-5
INSERT INTO Order_Items VALUES(13, 'DELIVERED', '2018-08-21 18:21:40.785', 'Family House','Quickdrive Washing Machine');
INSERT INTO Order_Items VALUES(13, 'DELIVERED', '2018-08-20 17:44:40.265', 'Family House','Ecobubble Washing Machine');
INSERT INTO Order_Items VALUES(13, 'DELIVERED', '2018-08-27 12:36:45.233', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(13, 'DELIVERED', '2018-08-23 14:33:16.167', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(13, 'DELIVERED', '2018-08-29 02:03:14.449', 'Phone Buy', 'iPhone XR');
--order_id = 11, user_id = 9 with created_at date of 2018-8-3
INSERT INTO Order_Items VALUES(14, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(14, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(14, 'DELIVERED', '2018-08-14 19:39:18.229', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(14, 'BEING_PROCESSED', NULL, 'Royal Sporting House', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(14, 'BEING_PROCESSED', NULL, 'Royal Sporting House', 'KAVAL Hoodie');
--order_id = 12, user_id = 9 with created_at date of 2018-8-4
INSERT INTO Order_Items VALUES(15, 'DELIVERED', '2018-08-12 18:03:23.114', 'Nubox', 'iPhone XS');
INSERT INTO Order_Items VALUES(15, 'DELIVERED', '2018-08-06 20:56:01.725', 'Nubox', 'Galaxy S9');
INSERT INTO Order_Items VALUES(15, 'DELIVERED', '2018-08-14 08:35:26.336', 'Nubox', 'Galaxy S7');
INSERT INTO Order_Items VALUES(15, 'DELIVERED', '2018-08-23 10:35:25.263', 'Nubox', 'Galaxy S6');
INSERT INTO Order_Items VALUES(15, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone X');
--order_id = 13, user_id = 9 with created_at date of 2018-8-5
INSERT INTO Order_Items VALUES(16, 'BEING_PROCESSED', NULL, 'Adidas', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(16, 'DELIVERED', '2018-08-15 07:10:51.881', 'Adidas', 'Pureboost RBL Shoes');
INSERT INTO Order_Items VALUES(16, 'BEING_PROCESSED', NULL, 'Family House','Quickdrive Washing Machine');
INSERT INTO Order_Items VALUES(16, 'BEING_PROCESSED', NULL, 'Family House','Ecobubble Washing Machine');
INSERT INTO Order_Items VALUES(16, 'DELIVERED', '2018-08-30 15:09:21.615', 'Phone Buy', 'iPhone X');
--order_id = 14, user_id = 9 with created_at date of 2018-8-6
INSERT INTO Order_Items VALUES(17, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(17, 'DELIVERED', '2018-08-30 00:05:02.873', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(17, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone XR');
INSERT INTO Order_Items VALUES(17, 'BEING_PROCESSED', NULL, 'iChallenger', 'iPhone X');
INSERT INTO Order_Items VALUES(17, 'BEING_PROCESSED', NULL, 'iChallenger', 'iPhone XS');
--order_id = 18, user_id = 10 with created_at date of 2018-8-5
INSERT INTO Order_Items VALUES(18, 'BEING_PROCESSED', NULL, 'Royal Sporting House', 'KAVAL Cap');
INSERT INTO Order_Items VALUES(18, 'DELIVERED', '2018-08-11 04:26:28.731', 'Adidas', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(18, 'DELIVERED', '2018-08-15 15:19:05.022', 'Adidas', 'Pureboost RBL Shoes');
INSERT INTO Order_Items VALUES(18, 'DELIVERED', '2018-08-06 04:08:07.936', 'Family House','Quickdrive Washing Machine');
INSERT INTO Order_Items VALUES(18, 'DELIVERED', '2018-08-23 01:55:49.288', 'Family House','Ecobubble Washing Machine');
--order_id = 19, user_id = 10 with created_at date of 2018-8-6
INSERT INTO Order_Items VALUES(19, 'DELIVERED', '2018-08-30 22:12:38.505', 'Adidas', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(19, 'DELIVERED', '2018-08-16 11:59:58.582', 'Adidas', 'Pureboost RBL Shoes');
INSERT INTO Order_Items VALUES(19, 'BEING_PROCESSED', NULL, 'Family House','Quickdrive Washing Machine');
INSERT INTO Order_Items VALUES(19, 'DELIVERED', '2018-08-21 20:14:11.640', 'Family House','Ecobubble Washing Machine');
INSERT INTO Order_Items VALUES(19, 'DELIVERED', '2018-08-12 20:25:13.846', 'Phone Buy', 'iPhone X');
--order_id = 20, user_id = 10 with created_at date of 2018-8-7
INSERT INTO Order_Items VALUES(20, 'DELIVERED', '2018-08-26 19:22:22.188', 'Adidas', 'Pureboost RBL Shoes');
INSERT INTO Order_Items VALUES(20, 'DELIVERED', '2018-08-29 21:39:08.355', 'Family House','Quickdrive Washing Machine');
INSERT INTO Order_Items VALUES(20, 'DELIVERED', '2018-08-25 11:37:45.722', 'Family House','Ecobubble Washing Machine');
INSERT INTO Order_Items VALUES(20, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(20, 'DELIVERED', '2018-08-23 16:47:48.271', 'Phone Buy', 'iPhone XS');
--order_id = 21, user_id = 10 with created_at date of 2018-8-8
INSERT INTO Order_Items VALUES(21, 'DELIVERED', '2018-08-27 20:49:11.603', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(21, 'DELIVERED', '2018-08-12 15:19:21.852', 'Royal Sporting House', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(21, 'BEING_PROCESSED', NULL, 'Royal Sporting House', 'KAVAL Hoodie');
INSERT INTO Order_Items VALUES(21, 'DELIVERED', '2018-08-31 11:30:22.214', 'Royal Sporting House', 'KAVAL Cap');
INSERT INTO Order_Items VALUES(21, 'DELIVERED', '2018-08-25 20:32:38.247', 'Adidas', 'Ultraboost Shoes');
--order_id = 22, user_id = 10 with created_at date of 2018-8-6
INSERT INTO Order_Items VALUES(22, 'DELIVERED', '2018-08-09 04:46:57.419', 'Adidas', 'Pureboost RBL Shoes');
INSERT INTO Order_Items VALUES(22, 'DELIVERED', '2018-08-19 19:01:16.733', 'Family House','Quickdrive Washing Machine');
INSERT INTO Order_Items VALUES(22, 'BEING_PROCESSED', NULL, 'Family House','Ecobubble Washing Machine');
INSERT INTO Order_Items VALUES(22, 'DELIVERED', '2018-08-13 20:32:31.940', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(22, 'SHIPPED', NULL, 'Phone Buy', 'iPhone XS');
--order_id = 23, user_id = 10 with created_at date of 2018-8-7
INSERT INTO Order_Items VALUES(23, 'BEING_PROCESSED', NULL, 'Royal Sporting House', 'KAVAL Hoodie');
INSERT INTO Order_Items VALUES(23, 'DELIVERED', '2018-08-16 10:00:38.630', 'Royal Sporting House', 'KAVAL Cap');
INSERT INTO Order_Items VALUES(23, 'BEING_PROCESSED', NULL, 'Adidas', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(23, 'BEING_PROCESSED', NULL, 'Adidas', 'Pureboost RBL Shoes');
INSERT INTO Order_Items VALUES(23, 'DELIVERED', '2018-08-25 15:45:26.238', 'Family House','Quickdrive Washing Machine');
--order_id = 24, user_id = 10 with created_at date of 2018-8-8
INSERT INTO Order_Items VALUES(24, 'DELIVERED', '2018-08-15 23:01:25.586', 'Nubox', 'iPhone X');
INSERT INTO Order_Items VALUES(24, 'DELIVERED', '2018-08-25 15:38:59.745', 'Nubox', 'iPhone XS');
INSERT INTO Order_Items VALUES(24, 'DELIVERED', '2018-08-09 11:51:29.827', 'Nubox', 'Galaxy S9');
INSERT INTO Order_Items VALUES(24, 'DELIVERED', '2018-08-25 10:04:38.327', 'Nubox', 'Galaxy S7');
INSERT INTO Order_Items VALUES(24, 'DELIVERED', '2018-08-18 19:59:07.721', 'Nubox', 'Galaxy S6');
--order_id = 25, user_id = 10 with created_at date of 2018-8-9
INSERT INTO Order_Items VALUES(25, 'DELIVERED', '2018-08-26 03:12:45.762', 'Family House','Quickdrive Washing Machine');
INSERT INTO Order_Items VALUES(25, 'DELIVERED', '2018-08-23 01:12:55.554', 'Family House','Ecobubble Washing Machine');
INSERT INTO Order_Items VALUES(25, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(25, 'DELIVERED', '2018-08-20 15:43:34.660', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(25, 'DELIVERED', '2018-08-12 11:39:29.934', 'Phone Buy', 'iPhone XR');
--order_id = 26, user_id = 11 with created_at date of 2018-8-9
INSERT INTO Order_Items VALUES(26, 'DELIVERED', '2018-08-12 22:01:55.499', 'Nubox', 'iPhone X');
INSERT INTO Order_Items VALUES(26, 'DELIVERED', '2018-08-14 13:04:25.898', 'Nubox', 'iPhone XS');
INSERT INTO Order_Items VALUES(26, 'DELIVERED', '2018-08-25 06:18:33.332', 'Nubox', 'Galaxy S9');
INSERT INTO Order_Items VALUES(26, 'BEING_PROCESSED', NULL, 'Nubox', 'Galaxy S7');
INSERT INTO Order_Items VALUES(26, 'BEING_PROCESSED', NULL, 'Nubox', 'Galaxy S6');
--order_id = 27, user_id = 11 with created_at date of 2018-8-10
INSERT INTO Order_Items VALUES(27, 'DELIVERED', '2018-08-22 07:08:42.865', 'Adidas', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(27, 'BEING_PROCESSED', NULL, 'Adidas', 'Pureboost RBL Shoes');
INSERT INTO Order_Items VALUES(27, 'BEING_PROCESSED', NULL, 'Family House','Quickdrive Washing Machine');
INSERT INTO Order_Items VALUES(27, 'DELIVERED', '2018-08-22 19:21:06.423', 'Family House','Ecobubble Washing Machine');
INSERT INTO Order_Items VALUES(27, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone X');
--order_id = 28, user_id = 11 with created_at date of 2018-8-11
INSERT INTO Order_Items VALUES(28, 'DELIVERED', '2018-08-17 03:19:54.635', 'Nubox', 'iPhone X');
INSERT INTO Order_Items VALUES(28, 'BEING_PROCESSED', NULL, 'Nubox', 'iPhone XS');
INSERT INTO Order_Items VALUES(28, 'DELIVERED', '2018-08-30 22:24:09.837', 'Nubox', 'Galaxy S9');
INSERT INTO Order_Items VALUES(28, 'BEING_PROCESSED', NULL, 'Nubox', 'Galaxy S7');
INSERT INTO Order_Items VALUES(28, 'DELIVERED', '2018-08-22 20:24:37.100', 'Nubox', 'Galaxy S6');
--order_id = 29, user_id = 11 with created_at date of 2018-8-12
INSERT INTO Order_Items VALUES(29, 'DELIVERED', '2018-08-14 12:21:44.650', 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(29, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(29, 'DELIVERED', '2018-08-13 09:53:19.817', 'Royal Sporting House', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(29, 'DELIVERED', '2018-08-13 12:53:49.084', 'Royal Sporting House', 'KAVAL Hoodie');
INSERT INTO Order_Items VALUES(29, 'BEING_PROCESSED', NULL, 'Royal Sporting House', 'KAVAL Cap');
--order_id = 30, user_id = 11 with created_at date of 2018-8-10
INSERT INTO Order_Items VALUES(30, 'DELIVERED', '2018-08-23 09:11:32.516', 'Family House','Ecobubble Washing Machine');
INSERT INTO Order_Items VALUES(30, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(30, 'DELIVERED', '2018-08-18 19:53:16.528', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(30, 'DELIVERED', '2018-08-23 09:14:49.220', 'Phone Buy', 'iPhone XR');
INSERT INTO Order_Items VALUES(30, 'DELIVERED', '2018-08-19 07:30:14.907', 'iChallenger', 'iPhone X');
--order_id = 31, user_id = 11 with created_at date of 2018-8-11
INSERT INTO Order_Items VALUES(31, 'BEING_PROCESSED', NULL, 'Nubox', 'Galaxy S9');
INSERT INTO Order_Items VALUES(31, 'DELIVERED', '2018-08-22 20:36:08.913', 'Nubox', 'Galaxy S7');
INSERT INTO Order_Items VALUES(31, 'DELIVERED', '2018-08-26 14:00:06.659', 'Nubox', 'Galaxy S6');
INSERT INTO Order_Items VALUES(31, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(31, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone XS');
--order_id = 32, user_id = 11 with created_at date of 2018-8-12
INSERT INTO Order_Items VALUES(32, 'BEING_PROCESSED', NULL, 'Nubox', 'Galaxy S6');
INSERT INTO Order_Items VALUES(32, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(32, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(32, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(32, 'BEING_PROCESSED', NULL, 'Royal Sporting House', 'Ultraboost Shoes');
--order_id = 33, user_id = 11 with created_at date of 2018-8-13
INSERT INTO Order_Items VALUES(33, 'DELIVERED', '2018-08-30 00:18:39.956', 'Royal Sporting House', 'KAVAL Cap');
INSERT INTO Order_Items VALUES(33, 'BEING_PROCESSED', NULL, 'Adidas', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(33, 'DELIVERED', '2018-08-22 03:08:19.509', 'Adidas', 'Pureboost RBL Shoes');
INSERT INTO Order_Items VALUES(33, 'DELIVERED', '2018-08-17 17:12:48.370', 'Family House','Quickdrive Washing Machine');
INSERT INTO Order_Items VALUES(33, 'DELIVERED', '2018-08-14 08:06:59.345', 'Family House','Ecobubble Washing Machine');
--order_id = 34, user_id = 12 with created_at date of 2018-8-12
INSERT INTO Order_Items VALUES(34, 'BEING_PROCESSED', NULL, 'Adidas', 'Pureboost RBL Shoes');
INSERT INTO Order_Items VALUES(34, 'DELIVERED', '2018-08-13 15:25:23.237', 'Family House','Quickdrive Washing Machine');
INSERT INTO Order_Items VALUES(34, 'DELIVERED', '2018-08-28 15:32:42.609', 'Family House','Ecobubble Washing Machine');
INSERT INTO Order_Items VALUES(34, 'DELIVERED', '2018-08-23 11:27:44.185', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(34, 'DELIVERED', '2018-08-23 14:46:23.294', 'Phone Buy', 'iPhone XS');
--order_id = 35, user_id = 12 with created_at date of 2018-8-13
INSERT INTO Order_Items VALUES(35, 'DELIVERED', '2018-08-21 01:19:22.291', 'Family House','Quickdrive Washing Machine');
INSERT INTO Order_Items VALUES(35, 'DELIVERED', '2018-08-18 23:00:36.231', 'Family House','Ecobubble Washing Machine');
INSERT INTO Order_Items VALUES(35, 'DELIVERED', '2018-08-27 01:24:24.269', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(35, 'DELIVERED', '2018-08-17 18:30:40.923', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(35, 'DELIVERED', '2018-08-30 08:38:32.167', 'Phone Buy', 'iPhone XR');
--order_id = 36, user_id = 12 with created_at date of 2018-8-14
INSERT INTO Order_Items VALUES(36, 'BEING_PROCESSED', NULL, 'Nubox', 'iPhone X');
INSERT INTO Order_Items VALUES(36, 'DELIVERED', '2018-08-26 09:43:42.199', 'Nubox', 'iPhone XS');
INSERT INTO Order_Items VALUES(36, 'BEING_PROCESSED', NULL, 'Nubox', 'Galaxy S9');
INSERT INTO Order_Items VALUES(36, 'DELIVERED', '2018-08-25 05:53:42.941', 'Nubox', 'Galaxy S7');
INSERT INTO Order_Items VALUES(36, 'DELIVERED', '2018-08-20 18:55:47.923', 'Nubox', 'Galaxy S6');
--order_id = 37, user_id = 12 with created_at date of 2018-8-15
INSERT INTO Order_Items VALUES(37, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(37, 'DELIVERED', '2018-08-16 11:54:41.619', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(37, 'DELIVERED', '2018-08-22 15:57:22.990', 'Royal Sporting House', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(37, 'DELIVERED', '2018-08-26 08:24:50.348', 'Royal Sporting House', 'KAVAL Hoodie');
INSERT INTO Order_Items VALUES(37, 'DELIVERED', '2018-08-28 14:29:21.068', 'Royal Sporting House', 'KAVAL Cap');
--order_id = 38, user_id = 12 with created_at date of 2018-8-12
INSERT INTO Order_Items VALUES(38, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(38, 'DELIVERED', '2018-08-31 04:23:34.380', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(38, 'DELIVERED', '2018-08-20 04:28:13.957', 'Phone Buy', 'iPhone XR');
INSERT INTO Order_Items VALUES(38, 'BEING_PROCESSED', NULL, 'iChallenger', 'iPhone X');
INSERT INTO Order_Items VALUES(38, 'BEING_PROCESSED', NULL, 'iChallenger', 'iPhone XS');
--order_id = 39, user_id = 12 with created_at date of 2018-8-13
INSERT INTO Order_Items VALUES(39, 'BEING_PROCESSED', NULL, 'Royal Sporting House', 'KAVAL Hoodie');
INSERT INTO Order_Items VALUES(39, 'DELIVERED', '2018-08-19 17:54:32.297', 'Royal Sporting House', 'KAVAL Cap');
INSERT INTO Order_Items VALUES(39, 'BEING_PROCESSED', NULL, 'Adidas', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(39, 'DELIVERED', '2018-08-14 06:36:14.252', 'Adidas', 'Pureboost RBL Shoes');
INSERT INTO Order_Items VALUES(39, 'BEING_PROCESSED', NULL, 'Family House','Quickdrive Washing Machine');
--order_id = 40, user_id = 12 with created_at date of 2018-8-14
INSERT INTO Order_Items VALUES(40, 'DELIVERED', '2018-08-23 05:50:01.341', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(40, 'BEING_PROCESSED', NULL, 'Royal Sporting House', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(40, 'DELIVERED', '2018-08-26 06:13:00.447', 'Royal Sporting House', 'KAVAL Hoodie');
INSERT INTO Order_Items VALUES(40, 'DELIVERED', '2018-08-17 17:14:08.404', 'Royal Sporting House', 'KAVAL Cap');
INSERT INTO Order_Items VALUES(40, 'BEING_PROCESSED', NULL, 'Adidas', 'Ultraboost Shoes');
--order_id = 41, user_id = 12 with created_at date of 2018-8-15
INSERT INTO Order_Items VALUES(41, 'DELIVERED', '2018-08-23 11:19:57.769', 'Family House','Ecobubble Washing Machine');
INSERT INTO Order_Items VALUES(41, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(41, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(41, 'DELIVERED', '2018-08-21 22:55:27.077', 'Phone Buy', 'iPhone XR');
INSERT INTO Order_Items VALUES(41, 'BEING_PROCESSED', NULL, 'iChallenger', 'iPhone X');
--order_id = 42, user_id = 13 with created_at date of 2018-8-11
INSERT INTO Order_Items VALUES(42, 'DELIVERED', '2018-08-21 11:27:43.456', 'Adidas', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(42, 'DELIVERED', '2018-08-23 20:13:55.282', 'Adidas', 'Pureboost RBL Shoes');
INSERT INTO Order_Items VALUES(42, 'BEING_PROCESSED', NULL, 'Family House','Quickdrive Washing Machine');
INSERT INTO Order_Items VALUES(42, 'DELIVERED', '2018-08-19 01:37:02.995', 'Family House','Ecobubble Washing Machine');
INSERT INTO Order_Items VALUES(42, 'DELIVERED', '2018-08-26 06:29:29.010', 'Phone Buy', 'iPhone X');
--order_id = 43, user_id = 13 with created_at date of 2018-8-12
INSERT INTO Order_Items VALUES(43, 'DELIVERED', '2018-08-19 22:32:05.105', 'Nubox', 'iPhone XS');
INSERT INTO Order_Items VALUES(43, 'BEING_PROCESSED', NULL, 'Nubox', 'Galaxy S9');
INSERT INTO Order_Items VALUES(43, 'SHIPPED', NULL, 'Nubox', 'Galaxy S7');
INSERT INTO Order_Items VALUES(43, 'DELIVERED', '2018-08-19 12:46:25.832', 'Nubox', 'Galaxy S6');
INSERT INTO Order_Items VALUES(43, 'DELIVERED', '2018-08-28 10:31:47.378', 'iStudio', 'iPhone X');
--order_id = 44, user_id = 13 with created_at date of 2018-8-13
INSERT INTO Order_Items VALUES(44, 'DELIVERED', '2018-08-23 17:36:52.274', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(44, 'DELIVERED', '2018-08-18 02:43:23.731', 'Royal Sporting House', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(44, 'DELIVERED', '2018-08-19 14:44:34.732', 'Royal Sporting House', 'KAVAL Hoodie');
INSERT INTO Order_Items VALUES(44, 'BEING_PROCESSED', NULL, 'Royal Sporting House', 'KAVAL Cap');
INSERT INTO Order_Items VALUES(44, 'DELIVERED', '2018-08-27 02:34:48.739', 'Adidas', 'Ultraboost Shoes');
--order_id = 45, user_id = 13 with created_at date of 2018-8-14
INSERT INTO Order_Items VALUES(45, 'DELIVERED', '2018-08-15 07:42:06.720', 'Family House','Ecobubble Washing Machine');
INSERT INTO Order_Items VALUES(45, 'SHIPPED', NULL, 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(45, 'DELIVERED', '2018-08-16 15:59:11.309', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(45, 'DELIVERED', '2018-08-19 03:44:48.782', 'Phone Buy', 'iPhone XR');
INSERT INTO Order_Items VALUES(45, 'DELIVERED', '2018-08-18 22:47:48.013', 'iChallenger', 'iPhone X');
--order_id = 46, user_id = 14 with created_at date of 2018-8-13
INSERT INTO Order_Items VALUES(46, 'DELIVERED', '2018-08-21 05:18:46.140', 'Family House','Quickdrive Washing Machine');
INSERT INTO Order_Items VALUES(46, 'DELIVERED', '2018-08-25 10:16:00.429', 'Family House','Ecobubble Washing Machine');
INSERT INTO Order_Items VALUES(46, 'DELIVERED', '2018-08-26 14:10:19.895', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(46, 'DELIVERED', '2018-08-31 14:31:54.449', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(46, 'DELIVERED', '2018-08-30 00:52:51.556', 'Phone Buy', 'iPhone XR');
--order_id = 47, user_id = 14 with created_at date of 2018-8-14
INSERT INTO Order_Items VALUES(47, 'BEING_PROCESSED', NULL, 'Adidas', 'Pureboost RBL Shoes');
INSERT INTO Order_Items VALUES(47, 'DELIVERED', '2018-08-27 18:53:51.981', 'Family House','Quickdrive Washing Machine');
INSERT INTO Order_Items VALUES(47, 'DELIVERED', '2018-08-21 09:02:15.918', 'Family House','Ecobubble Washing Machine');
INSERT INTO Order_Items VALUES(47, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(47, 'DELIVERED', '2018-08-23 04:13:53.356', 'Phone Buy', 'iPhone XS');
--order_id = 48, user_id = 14 with created_at date of 2018-8-15
INSERT INTO Order_Items VALUES(48, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(48, 'DELIVERED', '2018-08-16 10:33:44.807', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(48, 'DELIVERED', '2018-08-20 23:36:32.107', 'Royal Sporting House', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(48, 'DELIVERED', '2018-08-16 12:50:57.432', 'Royal Sporting House', 'KAVAL Hoodie');
INSERT INTO Order_Items VALUES(48, 'DELIVERED', '2018-08-29 00:41:44.506', 'Royal Sporting House', 'KAVAL Cap');
--order_id = 49, user_id = 14 with created_at date of 2018-8-16
INSERT INTO Order_Items VALUES(49, 'DELIVERED', '2018-08-29 13:24:48.932', 'Nubox', 'Galaxy S9');
INSERT INTO Order_Items VALUES(49, 'BEING_PROCESSED', NULL, 'Nubox', 'Galaxy S7');
INSERT INTO Order_Items VALUES(49, 'DELIVERED', '2018-08-28 22:42:14.916', 'Nubox', 'Galaxy S6');
INSERT INTO Order_Items VALUES(49, 'DELIVERED', '2018-08-17 04:08:51.211', 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(49, 'DELIVERED', '2018-08-20 19:29:32.769', 'iStudio', 'iPhone XS');
--order_id = 50, user_id = 15 with created_at date of 2018-8-14
INSERT INTO Order_Items VALUES(50, 'DELIVERED', '2018-08-25 20:44:17.534', 'Nubox', 'Galaxy S6');
INSERT INTO Order_Items VALUES(50, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(50, 'DELIVERED', '2018-08-22 15:07:20.904', 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(50, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(50, 'DELIVERED', '2018-08-30 04:18:46.778', 'Royal Sporting House', 'Ultraboost Shoes');
--order_id = 51, user_id = 15 with created_at date of 2018-8-15
INSERT INTO Order_Items VALUES(51, 'DELIVERED', '2018-08-24 18:08:13.120', 'Nubox', 'iPhone XS');
INSERT INTO Order_Items VALUES(51, 'DELIVERED', '2018-08-27 04:01:00.393', 'Nubox', 'Galaxy S9');
INSERT INTO Order_Items VALUES(51, 'DELIVERED', '2018-08-31 12:49:03.440', 'Nubox', 'Galaxy S7');
INSERT INTO Order_Items VALUES(51, 'DELIVERED', '2018-08-23 02:43:35.633', 'Nubox', 'Galaxy S6');
INSERT INTO Order_Items VALUES(51, 'DELIVERED', '2018-08-25 02:02:02.800', 'iStudio', 'iPhone X');
--order_id = 52, user_id = 15 with created_at date of 2018-8-16
INSERT INTO Order_Items VALUES(52, 'BEING_PROCESSED', NULL, 'Nubox', 'Galaxy S7');
INSERT INTO Order_Items VALUES(52, 'DELIVERED', '2018-08-17 01:48:27.702', 'Nubox', 'Galaxy S6');
INSERT INTO Order_Items VALUES(52, 'DELIVERED', '2018-08-23 01:29:59.129', 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(52, 'DELIVERED', '2018-08-19 22:46:50.105', 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(52, 'DELIVERED', '2018-08-21 13:56:52.950', 'iStudio', 'iPhone XR');
--order_id = 53, user_id = 15 with created_at date of 2018-8-17
INSERT INTO Order_Items VALUES(53, 'BEING_PROCESSED', NULL, 'Family House','Ecobubble Washing Machine');
INSERT INTO Order_Items VALUES(53, 'DELIVERED', '2018-08-25 00:11:29.121', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(53, 'DELIVERED', '2018-08-23 02:46:49.400', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(53, 'DELIVERED', '2018-08-25 01:20:05.394', 'Phone Buy', 'iPhone XR');
INSERT INTO Order_Items VALUES(53, 'DELIVERED', '2018-08-18 11:52:46.841', 'iChallenger', 'iPhone X');
--order_id = 54, user_id = 16 with created_at date of 2018-8-15
INSERT INTO Order_Items VALUES(54, 'DELIVERED', '2018-08-23 03:45:23.613', 'Royal Sporting House', 'KAVAL Cap');
INSERT INTO Order_Items VALUES(54, 'DELIVERED', '2018-08-22 19:37:28.750', 'Adidas', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(54, 'DELIVERED', '2018-08-29 21:40:32.366', 'Adidas', 'Pureboost RBL Shoes');
INSERT INTO Order_Items VALUES(54, 'BEING_PROCESSED', NULL, 'Family House','Quickdrive Washing Machine');
INSERT INTO Order_Items VALUES(54, 'DELIVERED', '2018-08-28 15:41:45.273', 'Family House','Ecobubble Washing Machine');
--order_id = 55, user_id = 16 with created_at date of 2018-8-16
INSERT INTO Order_Items VALUES(55, 'DELIVERED', '2018-08-20 06:38:59.754', 'Family House','Ecobubble Washing Machine');
INSERT INTO Order_Items VALUES(55, 'DELIVERED', '2018-08-17 14:11:20.360', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(55, 'DELIVERED', '2018-08-18 16:17:04.461', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(55, 'DELIVERED', '2018-08-20 18:27:35.779', 'Phone Buy', 'iPhone XR');
INSERT INTO Order_Items VALUES(55, 'DELIVERED', '2018-08-21 12:20:45.889', 'iChallenger', 'iPhone X');
--order_id = 56, user_id = 16 with created_at date of 2018-8-17
INSERT INTO Order_Items VALUES(56, 'DELIVERED', '2018-08-19 03:48:52.454', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(56, 'BEING_PROCESSED', NULL, 'Royal Sporting House', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(56, 'DELIVERED', '2018-08-18 03:01:23.557', 'Royal Sporting House', 'KAVAL Hoodie');
INSERT INTO Order_Items VALUES(56, 'BEING_PROCESSED', NULL, 'Royal Sporting House', 'KAVAL Cap');
INSERT INTO Order_Items VALUES(56, 'DELIVERED', '2018-08-18 01:49:47.382', 'Adidas', 'Ultraboost Shoes');
--order_id = 57, user_id = 16 with created_at date of 2018-8-18
INSERT INTO Order_Items VALUES(57, 'DELIVERED', '2018-08-21 08:18:40.371', 'Adidas', 'Pureboost RBL Shoes');
INSERT INTO Order_Items VALUES(57, 'BEING_PROCESSED', NULL, 'Family House','Quickdrive Washing Machine');
INSERT INTO Order_Items VALUES(57, 'BEING_PROCESSED', NULL, 'Family House','Ecobubble Washing Machine');
INSERT INTO Order_Items VALUES(57, 'DELIVERED', '2018-08-19 10:04:08.417', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(57, 'DELIVERED', '2018-08-21 10:08:17.065', 'Phone Buy', 'iPhone XS');
--order_id = 58, user_id = 17 with created_at date of 2018-8-16
INSERT INTO Order_Items VALUES(58, 'DELIVERED', '2018-08-18 19:33:29.051', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(58, 'DELIVERED', '2018-08-23 03:32:21.282', 'Royal Sporting House', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(58, 'DELIVERED', '2018-08-27 15:46:54.830', 'Royal Sporting House', 'KAVAL Hoodie');
INSERT INTO Order_Items VALUES(58, 'DELIVERED', '2018-08-26 02:47:48.522', 'Royal Sporting House', 'KAVAL Cap');
INSERT INTO Order_Items VALUES(58, 'DELIVERED', '2018-08-31 14:45:47.930', 'Adidas', 'Ultraboost Shoes');
--order_id = 59, user_id = 17 with created_at date of 2018-8-17
INSERT INTO Order_Items VALUES(59, 'DELIVERED', '2018-08-25 13:29:26.333', 'Adidas', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(59, 'DELIVERED', '2018-08-18 08:41:00.307', 'Adidas', 'Pureboost RBL Shoes');
INSERT INTO Order_Items VALUES(59, 'DELIVERED', '2018-08-27 05:29:44.562', 'Family House','Quickdrive Washing Machine');
INSERT INTO Order_Items VALUES(59, 'DELIVERED', '2018-08-21 13:32:57.830', 'Family House','Ecobubble Washing Machine');
INSERT INTO Order_Items VALUES(59, 'DELIVERED', '2018-08-29 20:06:53.367', 'Phone Buy', 'iPhone X');
--order_id = 60, user_id = 17 with created_at date of 2018-8-18
INSERT INTO Order_Items VALUES(60, 'DELIVERED', '2018-08-19 16:06:15.334', 'Family House','Ecobubble Washing Machine');
INSERT INTO Order_Items VALUES(60, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(60, 'DELIVERED', '2018-08-20 19:47:30.374', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(60, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone XR');
INSERT INTO Order_Items VALUES(60, 'DELIVERED', '2018-08-24 03:14:55.895', 'iChallenger', 'iPhone X');
--order_id = 61, user_id = 17 with created_at date of 2018-8-19
INSERT INTO Order_Items VALUES(61, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(61, 'DELIVERED', '2018-08-20 21:49:46.740', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(61, 'DELIVERED', '2018-08-23 07:40:02.715', 'Phone Buy', 'iPhone XR');
INSERT INTO Order_Items VALUES(61, 'BEING_PROCESSED', NULL, 'iChallenger', 'iPhone X');
INSERT INTO Order_Items VALUES(61, 'BEING_PROCESSED', NULL, 'iChallenger', 'iPhone XS');
--order_id = 62, user_id = 18 with created_at date of 2018-8-19
INSERT INTO Order_Items VALUES(62, 'DELIVERED', '2018-08-30 17:33:25.063', 'Royal Sporting House', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(62, 'DELIVERED', '2018-08-22 11:29:34.157', 'Royal Sporting House', 'KAVAL Hoodie');
INSERT INTO Order_Items VALUES(62, 'DELIVERED', '2018-08-30 23:10:35.014', 'Royal Sporting House', 'KAVAL Cap');
INSERT INTO Order_Items VALUES(62, 'DELIVERED', '2018-08-20 17:52:57.626', 'Adidas', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(62, 'DELIVERED', '2018-08-29 12:49:51.526', 'Adidas', 'Pureboost RBL Shoes');
--order_id = 63, user_id = 18 with created_at date of 2018-8-20
INSERT INTO Order_Items VALUES(63, 'DELIVERED', '2018-08-31 14:56:34.413', 'Royal Sporting House', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(63, 'DELIVERED', '2018-08-21 01:32:54.412', 'Royal Sporting House', 'KAVAL Hoodie');
INSERT INTO Order_Items VALUES(63, 'DELIVERED', '2018-08-31 15:15:04.159', 'Royal Sporting House', 'KAVAL Cap');
INSERT INTO Order_Items VALUES(63, 'BEING_PROCESSED', NULL, 'Adidas', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(63, 'DELIVERED', '2018-08-25 12:47:31.616', 'Adidas', 'Pureboost RBL Shoes');
--order_id = 64, user_id = 18 with created_at date of 2018-8-21
INSERT INTO Order_Items VALUES(64, 'DELIVERED', '2018-08-28 11:31:16.946', 'Nubox', 'Galaxy S6');
INSERT INTO Order_Items VALUES(64, 'DELIVERED', '2018-08-23 05:52:32.675', 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(64, 'DELIVERED', '2018-08-25 01:34:44.109', 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(64, 'DELIVERED', '2018-08-22 03:28:34.938', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(64, 'DELIVERED', '2018-08-27 00:36:53.832', 'Royal Sporting House', 'Ultraboost Shoes');
--order_id = 65, user_id = 18 with created_at date of 2018-8-22
INSERT INTO Order_Items VALUES(65, 'DELIVERED', '2018-08-28 20:53:53.668', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(65, 'DELIVERED', '2018-08-23 03:50:31.547', 'Royal Sporting House', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(65, 'BEING_PROCESSED', NULL, 'Royal Sporting House', 'KAVAL Hoodie');
INSERT INTO Order_Items VALUES(65, 'DELIVERED', '2018-08-28 19:44:51.969', 'Royal Sporting House', 'KAVAL Cap');
INSERT INTO Order_Items VALUES(65, 'DELIVERED', '2018-08-28 00:02:57.612', 'Adidas', 'Ultraboost Shoes');
--order_id = 66, user_id = 19 with created_at date of 2018-8-20
INSERT INTO Order_Items VALUES(66, 'DELIVERED', '2018-08-24 15:42:46.736', 'Nubox', 'Galaxy S6');
INSERT INTO Order_Items VALUES(66, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(66, 'DELIVERED', '2018-08-27 08:56:54.189', 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(66, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(66, 'DELIVERED', '2018-08-29 04:53:21.804', 'Royal Sporting House', 'Ultraboost Shoes');
--order_id = 67, user_id = 19 with created_at date of 2018-8-21
INSERT INTO Order_Items VALUES(67, 'DELIVERED', '2018-08-22 15:41:11.313', 'Royal Sporting House', 'KAVAL Cap');
INSERT INTO Order_Items VALUES(67, 'DELIVERED', '2018-08-26 23:52:38.245', 'Adidas', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(67, 'DELIVERED', '2018-08-23 14:33:21.163', 'Adidas', 'Pureboost RBL Shoes');
INSERT INTO Order_Items VALUES(67, 'DELIVERED', '2018-08-24 09:31:30.346', 'Family House','Quickdrive Washing Machine');
INSERT INTO Order_Items VALUES(67, 'BEING_PROCESSED', NULL, 'Family House','Ecobubble Washing Machine');
--order_id = 68, user_id = 19 with created_at date of 2018-8-22
INSERT INTO Order_Items VALUES(68, 'DELIVERED', '2018-08-23 10:40:25.793', 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(68, 'DELIVERED', '2018-08-31 13:14:27.553', 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(68, 'DELIVERED', '2018-08-24 14:46:45.584', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(68, 'BEING_PROCESSED', NULL, 'Royal Sporting House', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(68, 'DELIVERED', '2018-08-25 13:37:39.651', 'Royal Sporting House', 'KAVAL Hoodie');
--order_id = 69, user_id = 19 with created_at date of 2018-8-23
INSERT INTO Order_Items VALUES(69, 'BEING_PROCESSED', NULL, 'Adidas', 'Ultraboost Shoes');
INSERT INTO Order_Items VALUES(69, 'DELIVERED', '2018-08-31 03:22:24.441', 'Adidas', 'Pureboost RBL Shoes');
INSERT INTO Order_Items VALUES(69, 'BEING_PROCESSED', NULL, 'Family House','Quickdrive Washing Machine');
INSERT INTO Order_Items VALUES(69, 'DELIVERED', '2018-08-24 13:50:49.239', 'Family House','Ecobubble Washing Machine');
INSERT INTO Order_Items VALUES(69, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone X');
--order_id = 70, user_id = 1 with created_at date of 2018-8-13
INSERT INTO Order_Items VALUES(70, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(70, 'DELIVERED', '2018-08-20 12:21:14.491', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(70, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone XR');
INSERT INTO Order_Items VALUES(70, 'DELIVERED', '2018-08-22 22:50:35.865', 'iChallenger', 'iPhone X');
INSERT INTO Order_Items VALUES(70, 'DELIVERED', '2018-08-26 16:27:37.078', 'iChallenger', 'iPhone XS');
--order_id = 71, user_id = 1 with created_at date of 2018-8-14
INSERT INTO Order_Items VALUES(71, 'DELIVERED', '2018-08-17 01:59:09.144', 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(71, 'DELIVERED', '2018-08-27 07:10:20.575', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(71, 'DELIVERED', '2018-08-17 13:03:03.450', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(71, 'DELIVERED', '2018-08-27 19:33:04.793', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(71, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone XR');
--order_id = 72, user_id = 1 with created_at date of 2018-8-15
INSERT INTO Order_Items VALUES(72, 'DELIVERED', '2018-08-18 15:42:50.846', 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(72, 'DELIVERED', '2018-08-17 04:32:59.395', 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(72, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(72, 'DELIVERED', '2018-08-28 03:37:50.702', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(72, 'DELIVERED', '2018-08-28 16:57:44.495', 'Phone Buy', 'iPhone XS');
--order_id = 73, user_id = 1 with created_at date of 2018-8-16
INSERT INTO Order_Items VALUES(73, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(73, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(73, 'DELIVERED', '2018-08-21 22:19:22.743', 'Phone Buy', 'iPhone XR');
INSERT INTO Order_Items VALUES(73, 'DELIVERED', '2018-08-25 10:09:17.447', 'iChallenger', 'iPhone X');
INSERT INTO Order_Items VALUES(73, 'DELIVERED', '2018-08-19 11:46:12.706', 'iChallenger', 'iPhone XS');
--order_id = 74, user_id = 1 with created_at date of 2018-8-17
INSERT INTO Order_Items VALUES(74, 'DELIVERED', '2018-08-29 23:19:00.896', 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(74, 'DELIVERED', '2018-08-25 05:03:31.944', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(74, 'DELIVERED', '2018-08-27 23:03:26.940', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(74, 'DELIVERED', '2018-08-21 22:16:47.567', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(74, 'DELIVERED', '2018-08-25 10:33:47.599', 'Phone Buy', 'iPhone XR');
--order_id = 75, user_id = 1 with created_at date of 2018-8-18
INSERT INTO Order_Items VALUES(75, 'DELIVERED', '2018-08-20 18:04:08.500', 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(75, 'DELIVERED', '2018-08-28 09:58:12.757', 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(75, 'DELIVERED', '2018-08-30 03:35:08.402', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(75, 'DELIVERED', '2018-08-24 07:06:03.362', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(75, 'DELIVERED', '2018-08-19 04:22:17.957', 'Phone Buy', 'iPhone XS');
--order_id = 76, user_id = 1 with created_at date of 2018-8-19
INSERT INTO Order_Items VALUES(76, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(76, 'DELIVERED', '2018-08-25 07:33:05.953', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(76, 'DELIVERED', '2018-08-20 16:23:18.118', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(76, 'DELIVERED', '2018-08-20 07:17:26.996', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(76, 'SHIPPED', NULL, 'Phone Buy', 'iPhone XR');
--order_id = 77, user_id = 1 with created_at date of 2018-8-20
INSERT INTO Order_Items VALUES(77, 'DELIVERED', '2018-08-29 23:50:59.353', 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(77, 'DELIVERED', '2018-08-29 09:07:28.507', 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(77, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(77, 'DELIVERED', '2018-08-25 03:58:34.587', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(77, 'DELIVERED', '2018-08-21 20:17:07.714', 'Phone Buy', 'iPhone XS');
--order_id = 78, user_id = 1 with created_at date of 2018-8-21
INSERT INTO Order_Items VALUES(78, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(78, 'DELIVERED', '2018-08-22 10:48:33.313', 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(78, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(78, 'DELIVERED', '2018-08-26 09:11:49.309', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(78, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone XS');
--order_id = 79, user_id = 1 with created_at date of 2018-8-22
INSERT INTO Order_Items VALUES(79, 'DELIVERED', '2018-08-26 22:53:43.387', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(79, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(79, 'DELIVERED', '2018-08-31 00:42:58.981', 'Phone Buy', 'iPhone XR');
INSERT INTO Order_Items VALUES(79, 'DELIVERED', '2018-08-31 05:14:16.695', 'iChallenger', 'iPhone X');
INSERT INTO Order_Items VALUES(79, 'BEING_PROCESSED', NULL, 'iChallenger', 'iPhone XS');
--order_id = 80, user_id = 2 with created_at date of 2018-8-10
INSERT INTO Order_Items VALUES(80, 'DELIVERED', '2018-08-16 03:48:35.169', 'Nubox', 'iPhone XS');
INSERT INTO Order_Items VALUES(80, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(80, 'DELIVERED', '2018-08-12 08:36:10.331', 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(80, 'DELIVERED', '2018-08-11 03:38:29.933', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(80, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone X');
--order_id = 81, user_id = 2 with created_at date of 2018-8-11
INSERT INTO Order_Items VALUES(81, 'DELIVERED', '2018-08-21 04:05:15.673', 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(81, 'DELIVERED', '2018-08-18 03:28:44.038', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(81, 'DELIVERED', '2018-08-14 08:34:14.272', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(81, 'DELIVERED', '2018-08-24 01:53:21.550', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(81, 'DELIVERED', '2018-08-12 13:28:54.456', 'Phone Buy', 'iPhone XR');
--order_id = 82, user_id = 2 with created_at date of 2018-8-12
INSERT INTO Order_Items VALUES(82, 'DELIVERED', '2018-08-17 17:58:04.398', 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(82, 'DELIVERED', '2018-08-19 15:04:15.538', 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(82, 'DELIVERED', '2018-08-18 14:56:30.809', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(82, 'DELIVERED', '2018-08-21 16:29:59.104', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(82, 'DELIVERED', '2018-08-13 06:29:00.679', 'Phone Buy', 'iPhone XS');
--order_id = 83, user_id = 2 with created_at date of 2018-8-13
INSERT INTO Order_Items VALUES(83, 'DELIVERED', '2018-08-24 05:37:33.204', 'Nubox', 'iPhone XS');
INSERT INTO Order_Items VALUES(83, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(83, 'DELIVERED', '2018-08-20 17:02:35.168', 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(83, 'DELIVERED', '2018-08-14 18:29:42.165', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(83, 'DELIVERED', '2018-08-21 02:03:05.854', 'Phone Buy', 'iPhone X');
--order_id = 84, user_id = 2 with created_at date of 2018-8-14
INSERT INTO Order_Items VALUES(84, 'DELIVERED', '2018-08-31 14:08:00.412', 'Nubox', 'iPhone XS');
INSERT INTO Order_Items VALUES(84, 'DELIVERED', '2018-08-25 07:51:27.035', 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(84, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(84, 'DELIVERED', '2018-08-20 21:01:53.712', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(84, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone X');
--order_id = 85, user_id = 2 with created_at date of 2018-8-15
INSERT INTO Order_Items VALUES(85, 'DELIVERED', '2018-08-22 15:48:29.825', 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(85, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(85, 'DELIVERED', '2018-08-30 06:55:29.219', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(85, 'DELIVERED', '2018-08-23 21:06:11.124', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(85, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone XR');
--order_id = 86, user_id = 2 with created_at date of 2018-8-16
INSERT INTO Order_Items VALUES(86, 'DELIVERED', '2018-08-29 16:03:10.549', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(86, 'DELIVERED', '2018-08-29 16:56:22.347', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(86, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone XR');
INSERT INTO Order_Items VALUES(86, 'BEING_PROCESSED', NULL, 'iChallenger', 'iPhone X');
INSERT INTO Order_Items VALUES(86, 'DELIVERED', '2018-08-19 04:36:38.632', 'iChallenger', 'iPhone XS');
--order_id = 87, user_id = 2 with created_at date of 2018-8-17
INSERT INTO Order_Items VALUES(87, 'DELIVERED', '2018-08-18 15:11:20.105', 'Nubox', 'iPhone XS');
INSERT INTO Order_Items VALUES(87, 'DELIVERED', '2018-08-25 16:20:25.072', 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(87, 'DELIVERED', '2018-08-23 23:23:52.061', 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(87, 'DELIVERED', '2018-08-22 13:26:19.534', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(87, 'DELIVERED', '2018-08-18 22:07:16.474', 'Phone Buy', 'iPhone X');
--order_id = 88, user_id = 2 with created_at date of 2018-8-18
INSERT INTO Order_Items VALUES(88, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(88, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(88, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(88, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone XR');
INSERT INTO Order_Items VALUES(88, 'DELIVERED', '2018-08-29 23:27:22.803', 'iChallenger', 'iPhone X');
--order_id = 89, user_id = 2 with created_at date of 2018-8-19
INSERT INTO Order_Items VALUES(89, 'DELIVERED', '2018-08-28 10:21:00.222', 'Nubox', 'iPhone X');
INSERT INTO Order_Items VALUES(89, 'DELIVERED', '2018-08-25 11:43:35.714', 'Nubox', 'iPhone XS');
INSERT INTO Order_Items VALUES(89, 'DELIVERED', '2018-08-24 09:18:59.977', 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(89, 'DELIVERED', '2018-08-26 13:27:33.721', 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(89, 'DELIVERED', '2018-08-28 19:15:23.709', 'iStudio', 'iPhone XR');
--order_id = 90, user_id = 3 with created_at date of 2018-8-9
INSERT INTO Order_Items VALUES(90, 'DELIVERED', '2018-08-24 19:57:54.911', 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(90, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(90, 'DELIVERED', '2018-08-13 19:09:25.781', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(90, 'DELIVERED', '2018-08-15 09:55:03.482', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(90, 'DELIVERED', '2018-08-29 06:33:17.517', 'Phone Buy', 'iPhone XS');
--order_id = 91, user_id = 3 with created_at date of 2018-8-10
INSERT INTO Order_Items VALUES(91, 'DELIVERED', '2018-08-30 23:07:17.756', 'Nubox', 'iPhone XS');
INSERT INTO Order_Items VALUES(91, 'DELIVERED', '2018-08-26 14:36:02.602', 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(91, 'DELIVERED', '2018-08-26 13:34:25.688', 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(91, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(91, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone X');
--order_id = 92, user_id = 3 with created_at date of 2018-8-11
INSERT INTO Order_Items VALUES(92, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(92, 'DELIVERED', '2018-08-25 02:53:08.780', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(92, 'DELIVERED', '2018-08-30 11:09:27.287', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(92, 'DELIVERED', '2018-08-14 02:17:23.664', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(92, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone XR');
--order_id = 93, user_id = 3 with created_at date of 2018-8-12
INSERT INTO Order_Items VALUES(93, 'BEING_PROCESSED', NULL, 'Nubox', 'iPhone X');
INSERT INTO Order_Items VALUES(93, 'BEING_PROCESSED', NULL, 'Nubox', 'iPhone XS');
INSERT INTO Order_Items VALUES(93, 'DELIVERED', '2018-08-29 01:50:46.641', 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(93, 'DELIVERED', '2018-08-25 15:37:57.510', 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(93, 'DELIVERED', '2018-08-19 03:27:43.169', 'iStudio', 'iPhone XR');
--order_id = 94, user_id = 3 with created_at date of 2018-8-13
INSERT INTO Order_Items VALUES(94, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(94, 'DELIVERED', '2018-08-25 03:07:44.194', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(94, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(94, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone XR');
INSERT INTO Order_Items VALUES(94, 'DELIVERED', '2018-08-16 01:16:34.837', 'iChallenger', 'iPhone X');
--order_id = 95, user_id = 3 with created_at date of 2018-8-14
INSERT INTO Order_Items VALUES(95, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(95, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(95, 'DELIVERED', '2018-08-19 23:13:36.126', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(95, 'DELIVERED', '2018-08-23 13:17:33.726', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(95, 'DELIVERED', '2018-08-18 03:00:56.508', 'Phone Buy', 'iPhone XS');
--order_id = 96, user_id = 3 with created_at date of 2018-8-15
INSERT INTO Order_Items VALUES(96, 'DELIVERED', '2018-08-27 13:48:23.504', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(96, 'DELIVERED', '2018-08-30 05:30:33.023', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(96, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(96, 'DELIVERED', '2018-08-26 06:05:48.639', 'Phone Buy', 'iPhone XR');
INSERT INTO Order_Items VALUES(96, 'DELIVERED', '2018-08-21 15:06:41.026', 'iChallenger', 'iPhone X');
--order_id = 97, user_id = 3 with created_at date of 2018-8-16
INSERT INTO Order_Items VALUES(97, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(97, 'DELIVERED', '2018-08-26 20:11:09.818', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(97, 'DELIVERED', '2018-08-18 17:05:49.877', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(97, 'DELIVERED', '2018-08-22 06:09:39.966', 'Phone Buy', 'iPhone XR');
INSERT INTO Order_Items VALUES(97, 'BEING_PROCESSED', NULL, 'iChallenger', 'iPhone X');
--order_id = 98, user_id = 3 with created_at date of 2018-8-17
INSERT INTO Order_Items VALUES(98, 'DELIVERED', '2018-08-31 04:46:41.786', 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(98, 'DELIVERED', '2018-08-18 14:12:45.170', 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(98, 'DELIVERED', '2018-08-20 16:56:18.183', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(98, 'DELIVERED', '2018-08-18 19:59:28.432', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(98, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone XS');
--order_id = 99, user_id = 3 with created_at date of 2018-8-18
INSERT INTO Order_Items VALUES(99, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(99, 'DELIVERED', '2018-08-26 11:37:06.995', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(99, 'DELIVERED', '2018-08-19 19:41:55.103', 'Phone Buy', 'iPhone XR');
INSERT INTO Order_Items VALUES(99, 'BEING_PROCESSED', NULL, 'iChallenger', 'iPhone X');
INSERT INTO Order_Items VALUES(99, 'DELIVERED', '2018-08-22 18:25:14.536', 'iChallenger', 'iPhone XS');
--order_id = 100, user_id = 4 with created_at date of 2018-8-7
INSERT INTO Order_Items VALUES(100, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(100, 'DELIVERED', '2018-08-14 22:41:52.298', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(100, 'DELIVERED', '2018-08-22 06:16:13.729', 'Phone Buy', 'iPhone XR');
INSERT INTO Order_Items VALUES(100, 'DELIVERED', '2018-08-08 14:46:58.385', 'iChallenger', 'iPhone X');
INSERT INTO Order_Items VALUES(100, 'DELIVERED', '2018-08-17 20:01:14.970', 'iChallenger', 'iPhone XS');
--order_id = 101, user_id = 4 with created_at date of 2018-8-8
INSERT INTO Order_Items VALUES(101, 'DELIVERED', '2018-08-12 18:07:39.795', 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(101, 'DELIVERED', '2018-08-09 20:27:39.546', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(101, 'DELIVERED', '2018-08-11 03:29:19.879', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(101, 'DELIVERED', '2018-08-29 11:45:24.323', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(101, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone XR');
--order_id = 102, user_id = 4 with created_at date of 2018-8-9
INSERT INTO Order_Items VALUES(102, 'DELIVERED', '2018-08-17 23:32:25.787', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(102, 'DELIVERED', '2018-08-30 14:18:45.288', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(102, 'DELIVERED', '2018-08-10 23:40:55.411', 'Phone Buy', 'iPhone XR');
INSERT INTO Order_Items VALUES(102, 'DELIVERED', '2018-08-31 06:01:44.069', 'iChallenger', 'iPhone X');
INSERT INTO Order_Items VALUES(102, 'BEING_PROCESSED', NULL, 'iChallenger', 'iPhone XS');
--order_id = 103, user_id = 4 with created_at date of 2018-8-10
INSERT INTO Order_Items VALUES(103, 'DELIVERED', '2018-08-11 11:41:04.543', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(103, 'DELIVERED', '2018-08-15 23:11:49.571', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(103, 'DELIVERED', '2018-08-24 19:23:20.222', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(103, 'DELIVERED', '2018-08-14 14:20:00.404', 'Phone Buy', 'iPhone XR');
INSERT INTO Order_Items VALUES(103, 'DELIVERED', '2018-08-27 20:37:52.697', 'iChallenger', 'iPhone X');
--order_id = 104, user_id = 4 with created_at date of 2018-8-11
INSERT INTO Order_Items VALUES(104, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(104, 'DELIVERED', '2018-08-29 06:33:32.099', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(104, 'DELIVERED', '2018-08-13 09:51:42.434', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(104, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone XR');
INSERT INTO Order_Items VALUES(104, 'DELIVERED', '2018-08-13 09:51:08.273', 'iChallenger', 'iPhone X');
--order_id = 105, user_id = 4 with created_at date of 2018-8-12
INSERT INTO Order_Items VALUES(105, 'DELIVERED', '2018-08-18 12:46:59.336', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(105, 'DELIVERED', '2018-08-22 04:22:35.115', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(105, 'DELIVERED', '2018-08-15 05:38:18.478', 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(105, 'DELIVERED', '2018-08-21 20:49:36.128', 'Phone Buy', 'iPhone XR');
INSERT INTO Order_Items VALUES(105, 'DELIVERED', '2018-08-22 08:23:08.443', 'iChallenger', 'iPhone X');
--order_id = 106, user_id = 4 with created_at date of 2018-8-13
INSERT INTO Order_Items VALUES(106, 'DELIVERED', '2018-08-23 03:51:44.747', 'Nubox', 'iPhone XS');
INSERT INTO Order_Items VALUES(106, 'DELIVERED', '2018-08-14 06:52:28.534', 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(106, 'DELIVERED', '2018-08-29 08:49:20.406', 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(106, 'DELIVERED', '2018-08-17 14:20:35.582', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(106, 'DELIVERED', '2018-08-19 21:47:19.995', 'Phone Buy', 'iPhone X');
--order_id = 107, user_id = 4 with created_at date of 2018-8-14
INSERT INTO Order_Items VALUES(107, 'BEING_PROCESSED', NULL, 'Nubox', 'iPhone XS');
INSERT INTO Order_Items VALUES(107, 'DELIVERED', '2018-08-19 07:52:00.226', 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(107, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(107, 'DELIVERED', '2018-08-15 01:32:43.247', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(107, 'DELIVERED', '2018-08-22 12:19:56.593', 'Phone Buy', 'iPhone X');
--order_id = 108, user_id = 4 with created_at date of 2018-8-15
INSERT INTO Order_Items VALUES(108, 'DELIVERED', '2018-08-27 06:20:25.682', 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(108, 'DELIVERED', '2018-08-21 00:42:17.964', 'Phone Buy', 'iPhone X');
INSERT INTO Order_Items VALUES(108, 'BEING_PROCESSED', NULL, 'Phone Buy', 'iPhone XS');
INSERT INTO Order_Items VALUES(108, 'DELIVERED', '2018-08-23 14:00:57.600', 'Phone Buy', 'iPhone XR');
INSERT INTO Order_Items VALUES(108, 'DELIVERED', '2018-08-26 04:10:22.498', 'iChallenger', 'iPhone X');
--order_id = 109, user_id = 4 with created_at date of 2018-8-16
INSERT INTO Order_Items VALUES(109, 'BEING_PROCESSED', NULL, 'Nubox', 'iPhone XS');
INSERT INTO Order_Items VALUES(109, 'DELIVERED', '2018-08-17 15:03:25.140', 'iStudio', 'iPhone X');
INSERT INTO Order_Items VALUES(109, 'DELIVERED', '2018-08-23 15:28:27.430', 'iStudio', 'iPhone XS');
INSERT INTO Order_Items VALUES(109, 'BEING_PROCESSED', NULL, 'iStudio', 'iPhone XR');
INSERT INTO Order_Items VALUES(109, 'DELIVERED', '2018-08-29 05:28:04.775', 'Phone Buy', 'iPhone X');
-- Comments(comment_id, user_id, description)
-- Only have comments for each delivered/returned item
-- user_id 1 and user_id 13 to 19 has 20 comments each
-- user_id 2 to 8 has 10 comments each
-- user_id 9 to 12 has 40 comments each
INSERT INTO Comments VALUES(1, 'Item in great condition as always.');--conc 1
INSERT INTO Comments VALUES(1, 'Good to know, thanks mate');
INSERT INTO Comments VALUES(1, 'Great!');
INSERT INTO Comments VALUES(1, 'Item was delivered early!');
INSERT INTO Comments VALUES(1, 'Wonderful!'); --conc 2
INSERT INTO Comments VALUES(1, 'Item in perfect condition');
INSERT INTO Comments VALUES(1, 'Great product');
INSERT INTO Comments VALUES(1, 'Wonderful!');
INSERT INTO Comments VALUES(1, 'Buying it was a good decision');
INSERT INTO Comments VALUES(1, 'Item came late');-- conc 3
INSERT INTO Comments VALUES(1, 'Great!');
INSERT INTO Comments VALUES(1, 'Great product');
INSERT INTO Comments VALUES(1, 'Item came late');
INSERT INTO Comments VALUES(1, 'I liked it!');
INSERT INTO Comments VALUES(1, 'Great!');--conc 4
INSERT INTO Comments VALUES(1, 'Wonderful!');
INSERT INTO Comments VALUES(1, 'Item was delivered early!');
INSERT INTO Comments VALUES(1, 'Great!');
INSERT INTO Comments VALUES(1, 'Great product');
INSERT INTO Comments VALUES(1, 'It was in perfect condition'); -- conc 5
INSERT INTO Comments VALUES(2, 'Buying it was a good decision');
INSERT INTO Comments VALUES(2, 'Good!');
INSERT INTO Comments VALUES(2, 'Item came late');
INSERT INTO Comments VALUES(2, 'Item came late');
INSERT INTO Comments VALUES(2, 'I regret buying it but I guess it is okay');--conc 6
INSERT INTO Comments VALUES(2, 'Useful product!');
INSERT INTO Comments VALUES(2, 'Good!');
INSERT INTO Comments VALUES(2, 'Item came late');
INSERT INTO Comments VALUES(2, 'Wonderful!');
INSERT INTO Comments VALUES(2, 'Item in good condition'); --conc 7
INSERT INTO Comments VALUES(3, 'I liked it!');
INSERT INTO Comments VALUES(3, 'I liked it!');
INSERT INTO Comments VALUES(3, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(3, 'Useful product!');
INSERT INTO Comments VALUES(3, 'Item was delivered early!'); --conc 8
INSERT INTO Comments VALUES(3, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(3, 'Buying it was a good decision');
INSERT INTO Comments VALUES(3, 'Buying it was a good decision');
INSERT INTO Comments VALUES(3, 'Item in perfect condition');
INSERT INTO Comments VALUES(3, 'Item in perfect condition');--conc 9
INSERT INTO Comments VALUES(4, 'Item in good condition');
INSERT INTO Comments VALUES(4, 'Buying it was a good decision');
INSERT INTO Comments VALUES(4, 'Useful product!');
INSERT INTO Comments VALUES(4, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(4, 'Great!');-- conc 10
INSERT INTO Comments VALUES(4, 'I liked it!');
INSERT INTO Comments VALUES(4, 'Item in good condition');
INSERT INTO Comments VALUES(4, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(4, 'Item in good condition');
INSERT INTO Comments VALUES(4, 'Good!');
INSERT INTO Comments VALUES(5, 'I liked it!');
INSERT INTO Comments VALUES(5, 'Item was delivered early!');
INSERT INTO Comments VALUES(5, 'Item in perfect condition');
INSERT INTO Comments VALUES(5, 'Item was delivered early!');
INSERT INTO Comments VALUES(5, 'Wonderful!');
INSERT INTO Comments VALUES(5, 'Buying it was a good decision');
INSERT INTO Comments VALUES(5, 'Item in perfect condition');
INSERT INTO Comments VALUES(5, 'Item came late');
INSERT INTO Comments VALUES(5, 'Wonderful!');
INSERT INTO Comments VALUES(5, 'Item in good condition');
INSERT INTO Comments VALUES(6, 'Item in good condition');
INSERT INTO Comments VALUES(6, 'Wonderful!');
INSERT INTO Comments VALUES(6, 'Great product');
INSERT INTO Comments VALUES(6, 'Useful product!');
INSERT INTO Comments VALUES(6, 'Useful product!');
INSERT INTO Comments VALUES(6, 'Great product');
INSERT INTO Comments VALUES(6, 'Item in good condition');
INSERT INTO Comments VALUES(6, 'Buying it was a good decision');
INSERT INTO Comments VALUES(6, 'Great!');
INSERT INTO Comments VALUES(6, 'Item in perfect condition');
INSERT INTO Comments VALUES(7, 'Useful product!');
INSERT INTO Comments VALUES(7, 'I liked it!');
INSERT INTO Comments VALUES(7, 'Item was delivered early!');
INSERT INTO Comments VALUES(7, 'Item came late');
INSERT INTO Comments VALUES(7, 'Item came late');
INSERT INTO Comments VALUES(7, 'Great!');
INSERT INTO Comments VALUES(7, 'Great product');
INSERT INTO Comments VALUES(7, 'Good!');
INSERT INTO Comments VALUES(7, 'Great!');
INSERT INTO Comments VALUES(7, 'Good!');
INSERT INTO Comments VALUES(8, 'Item was delivered early!');
INSERT INTO Comments VALUES(8, 'Good!');
INSERT INTO Comments VALUES(8, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(8, 'Good!');
INSERT INTO Comments VALUES(8, 'Useful product!');
INSERT INTO Comments VALUES(8, 'Great product');
INSERT INTO Comments VALUES(8, 'Great!');
INSERT INTO Comments VALUES(8, 'Item came late');
INSERT INTO Comments VALUES(8, 'I liked it!');
INSERT INTO Comments VALUES(8, 'Great product');
INSERT INTO Comments VALUES(9, 'Useful product!');
INSERT INTO Comments VALUES(9, 'Wonderful!');
INSERT INTO Comments VALUES(9, 'Item was delivered early!');
INSERT INTO Comments VALUES(9, 'Item was delivered early!');
INSERT INTO Comments VALUES(9, 'Item in perfect condition');
INSERT INTO Comments VALUES(9, 'Useful product!');
INSERT INTO Comments VALUES(9, 'Good!');
INSERT INTO Comments VALUES(9, 'Great!');
INSERT INTO Comments VALUES(9, 'Item in perfect condition');
INSERT INTO Comments VALUES(9, 'Wonderful!');
INSERT INTO Comments VALUES(9, 'Buying it was a good decision');
INSERT INTO Comments VALUES(9, 'Useful product!');
INSERT INTO Comments VALUES(9, 'Great product');
INSERT INTO Comments VALUES(9, 'Buying it was a good decision');
INSERT INTO Comments VALUES(9, 'Item in perfect condition');
INSERT INTO Comments VALUES(9, 'Buying it was a good decision');
INSERT INTO Comments VALUES(9, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(9, 'Great product');
INSERT INTO Comments VALUES(9, 'Item in good condition');
INSERT INTO Comments VALUES(9, 'Item in perfect condition');
INSERT INTO Comments VALUES(9, 'I liked it!');
INSERT INTO Comments VALUES(9, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(9, 'Item came late');
INSERT INTO Comments VALUES(9, 'Item in good condition');
INSERT INTO Comments VALUES(9, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(9, 'Wonderful!');
INSERT INTO Comments VALUES(9, 'Good!');
INSERT INTO Comments VALUES(9, 'Item was delivered early!');
INSERT INTO Comments VALUES(9, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(9, 'I liked it!');
INSERT INTO Comments VALUES(9, 'I liked it!');
INSERT INTO Comments VALUES(9, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(9, 'Item came late');
INSERT INTO Comments VALUES(9, 'Item in good condition');
INSERT INTO Comments VALUES(9, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(9, 'Wonderful!');
INSERT INTO Comments VALUES(9, 'Good!');
INSERT INTO Comments VALUES(9, 'Item was delivered early!');
INSERT INTO Comments VALUES(9, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(9, 'I liked it!');
INSERT INTO Comments VALUES(10, 'Good!');
INSERT INTO Comments VALUES(10, 'I liked it!');
INSERT INTO Comments VALUES(10, 'Item in great condition as always.');
INSERT INTO Comments VALUES(10, 'Good to know, thanks mate');
INSERT INTO Comments VALUES(10, 'Great!');
INSERT INTO Comments VALUES(10, 'Item was delivered early!');
INSERT INTO Comments VALUES(10, 'Wonderful!');
INSERT INTO Comments VALUES(10, 'Item in perfect condition');
INSERT INTO Comments VALUES(10, 'Great product');
INSERT INTO Comments VALUES(10, 'Wonderful!');
INSERT INTO Comments VALUES(10, 'Buying it was a good decision');
INSERT INTO Comments VALUES(10, 'Item came late');
INSERT INTO Comments VALUES(10, 'Great!');
INSERT INTO Comments VALUES(10, 'Great product');
INSERT INTO Comments VALUES(10, 'Item came late');
INSERT INTO Comments VALUES(10, 'I liked it!');
INSERT INTO Comments VALUES(10, 'Great!');
INSERT INTO Comments VALUES(10, 'Wonderful!');
INSERT INTO Comments VALUES(10, 'Item was delivered early!');
INSERT INTO Comments VALUES(10, 'Great!');
INSERT INTO Comments VALUES(10, 'Great product');
INSERT INTO Comments VALUES(10, 'Item in good condition');
INSERT INTO Comments VALUES(10, 'Buying it was a good decision');
INSERT INTO Comments VALUES(10, 'Good!');
INSERT INTO Comments VALUES(10, 'Item came late');
INSERT INTO Comments VALUES(10, 'Item came late');
INSERT INTO Comments VALUES(10, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(10, 'Useful product!');
INSERT INTO Comments VALUES(10, 'Good!');
INSERT INTO Comments VALUES(10, 'Item came late');
INSERT INTO Comments VALUES(10, 'Wonderful!');
INSERT INTO Comments VALUES(10, 'Item in good condition');
INSERT INTO Comments VALUES(10, 'I liked it!');
INSERT INTO Comments VALUES(10, 'I liked it!');
INSERT INTO Comments VALUES(10, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(10, 'Useful product!');
INSERT INTO Comments VALUES(10, 'Item was delivered early!');
INSERT INTO Comments VALUES(10, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(10, 'Buying it was a good decision');
INSERT INTO Comments VALUES(10, 'Buying it was a good decision');
INSERT INTO Comments VALUES(11, 'Item in perfect condition');
INSERT INTO Comments VALUES(11, 'Item in perfect condition');
INSERT INTO Comments VALUES(11, 'Item in good condition');
INSERT INTO Comments VALUES(11, 'Buying it was a good decision');
INSERT INTO Comments VALUES(11, 'Useful product!');
INSERT INTO Comments VALUES(11, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(11, 'Great!');
INSERT INTO Comments VALUES(11, 'I liked it!');
INSERT INTO Comments VALUES(11, 'Item in good condition');
INSERT INTO Comments VALUES(11, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(11, 'Item in good condition');
INSERT INTO Comments VALUES(11, 'Good!');
INSERT INTO Comments VALUES(11, 'I liked it!');
INSERT INTO Comments VALUES(11, 'Item was delivered early!');
INSERT INTO Comments VALUES(11, 'Item in perfect condition');
INSERT INTO Comments VALUES(11, 'Item was delivered early!');
INSERT INTO Comments VALUES(11, 'Wonderful!');
INSERT INTO Comments VALUES(11, 'Buying it was a good decision');
INSERT INTO Comments VALUES(11, 'Item in perfect condition');
INSERT INTO Comments VALUES(11, 'Item came late');
INSERT INTO Comments VALUES(11, 'Wonderful!');
INSERT INTO Comments VALUES(11, 'Item in good condition');
INSERT INTO Comments VALUES(11, 'Item in good condition');
INSERT INTO Comments VALUES(11, 'Wonderful!');
INSERT INTO Comments VALUES(11, 'Great product');
INSERT INTO Comments VALUES(11, 'Useful product!');
INSERT INTO Comments VALUES(11, 'Useful product!');
INSERT INTO Comments VALUES(11, 'Great product');
INSERT INTO Comments VALUES(11, 'Item in good condition');
INSERT INTO Comments VALUES(11, 'Buying it was a good decision');
INSERT INTO Comments VALUES(11, 'Great!');
INSERT INTO Comments VALUES(11, 'Item in perfect condition');
INSERT INTO Comments VALUES(11, 'Useful product!');
INSERT INTO Comments VALUES(11, 'I liked it!');
INSERT INTO Comments VALUES(11, 'Item was delivered early!');
INSERT INTO Comments VALUES(11, 'Item came late');
INSERT INTO Comments VALUES(11, 'Item came late');
INSERT INTO Comments VALUES(11, 'Great!');
INSERT INTO Comments VALUES(11, 'Great product');
INSERT INTO Comments VALUES(11, 'Good!');
INSERT INTO Comments VALUES(12, 'Great!');
INSERT INTO Comments VALUES(12, 'Good!');
INSERT INTO Comments VALUES(12, 'Item was delivered early!');
INSERT INTO Comments VALUES(12, 'Good!');
INSERT INTO Comments VALUES(12, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(12, 'Good!');
INSERT INTO Comments VALUES(12, 'Useful product!');
INSERT INTO Comments VALUES(12, 'Great product');
INSERT INTO Comments VALUES(12, 'Great!');
INSERT INTO Comments VALUES(12, 'Item came late');
INSERT INTO Comments VALUES(12, 'I liked it!');
INSERT INTO Comments VALUES(12, 'Great product');
INSERT INTO Comments VALUES(12, 'Useful product!');
INSERT INTO Comments VALUES(12, 'Wonderful!');
INSERT INTO Comments VALUES(12, 'Item was delivered early!');
INSERT INTO Comments VALUES(12, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(12, 'Useful product!');
INSERT INTO Comments VALUES(12, 'Good!');
INSERT INTO Comments VALUES(12, 'Item came late');
INSERT INTO Comments VALUES(12, 'Wonderful!');
INSERT INTO Comments VALUES(12, 'Item in good condition');
INSERT INTO Comments VALUES(12, 'I liked it!');
INSERT INTO Comments VALUES(12, 'I liked it!');
INSERT INTO Comments VALUES(12, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(12, 'Useful product!');
INSERT INTO Comments VALUES(12, 'Item was delivered early!');
INSERT INTO Comments VALUES(12, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(12, 'Buying it was a good decision');
INSERT INTO Comments VALUES(12, 'Buying it was a good decision');
INSERT INTO Comments VALUES(12, 'Item in perfect condition');
INSERT INTO Comments VALUES(12, 'Item in perfect condition');
INSERT INTO Comments VALUES(12, 'Item in good condition');
INSERT INTO Comments VALUES(12, 'Buying it was a good decision');
INSERT INTO Comments VALUES(12, 'Useful product!');
INSERT INTO Comments VALUES(12, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(12, 'Great!');
INSERT INTO Comments VALUES(12, 'I liked it!');
INSERT INTO Comments VALUES(12, 'Item in good condition');
INSERT INTO Comments VALUES(12, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(12, 'Item in good condition');
INSERT INTO Comments VALUES(13, 'Good!');
INSERT INTO Comments VALUES(13, 'I liked it!');
INSERT INTO Comments VALUES(13, 'Item was delivered early!');
INSERT INTO Comments VALUES(13, 'Item in perfect condition');
INSERT INTO Comments VALUES(13, 'Item was delivered early!');
INSERT INTO Comments VALUES(13, 'Wonderful!');
INSERT INTO Comments VALUES(13, 'Buying it was a good decision');
INSERT INTO Comments VALUES(13, 'Item in perfect condition');
INSERT INTO Comments VALUES(13, 'Item came late');
INSERT INTO Comments VALUES(13, 'Wonderful!');
INSERT INTO Comments VALUES(13, 'Item in good condition');
INSERT INTO Comments VALUES(13, 'Item in good condition');
INSERT INTO Comments VALUES(13, 'Wonderful!');
INSERT INTO Comments VALUES(13, 'Great product');
INSERT INTO Comments VALUES(13, 'Useful product!');
INSERT INTO Comments VALUES(13, 'Useful product!');
INSERT INTO Comments VALUES(13, 'Great product');
INSERT INTO Comments VALUES(13, 'Item in good condition');
INSERT INTO Comments VALUES(13, 'Buying it was a good decision');
INSERT INTO Comments VALUES(13, 'Great!');
INSERT INTO Comments VALUES(14, 'Item in perfect condition');
INSERT INTO Comments VALUES(14, 'Useful product!');
INSERT INTO Comments VALUES(14, 'I liked it!');
INSERT INTO Comments VALUES(14, 'Item was delivered early!');
INSERT INTO Comments VALUES(14, 'Item came late');
INSERT INTO Comments VALUES(14, 'Item came late');
INSERT INTO Comments VALUES(14, 'Great!');
INSERT INTO Comments VALUES(14, 'Great product');
INSERT INTO Comments VALUES(14, 'Good!');
INSERT INTO Comments VALUES(14, 'Great!');
INSERT INTO Comments VALUES(14, 'Good!');
INSERT INTO Comments VALUES(14, 'Item was delivered early!');
INSERT INTO Comments VALUES(14, 'Good!');
INSERT INTO Comments VALUES(14, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(14, 'Good!');
INSERT INTO Comments VALUES(14, 'Useful product!');
INSERT INTO Comments VALUES(14, 'Great product');
INSERT INTO Comments VALUES(14, 'Great!');
INSERT INTO Comments VALUES(14, 'Item came late');
INSERT INTO Comments VALUES(14, 'I liked it!');
INSERT INTO Comments VALUES(15, 'Great product');
INSERT INTO Comments VALUES(15, 'Useful product!');
INSERT INTO Comments VALUES(15, 'Wonderful!');
INSERT INTO Comments VALUES(15, 'Item was delivered early!');
INSERT INTO Comments VALUES(15, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(15, 'Useful product!');
INSERT INTO Comments VALUES(15, 'Good!');
INSERT INTO Comments VALUES(15, 'Item came late');
INSERT INTO Comments VALUES(15, 'Wonderful!');
INSERT INTO Comments VALUES(15, 'Item in good condition');
INSERT INTO Comments VALUES(15, 'I liked it!');
INSERT INTO Comments VALUES(15, 'I liked it!');
INSERT INTO Comments VALUES(15, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(15, 'Useful product!');
INSERT INTO Comments VALUES(15, 'Item was delivered early!');
INSERT INTO Comments VALUES(15, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(15, 'Buying it was a good decision');
INSERT INTO Comments VALUES(15, 'Buying it was a good decision');
INSERT INTO Comments VALUES(15, 'Item in perfect condition');
INSERT INTO Comments VALUES(15, 'Item in perfect condition');
INSERT INTO Comments VALUES(16, 'Item in good condition');
INSERT INTO Comments VALUES(16, 'Buying it was a good decision');
INSERT INTO Comments VALUES(16, 'Useful product!');
INSERT INTO Comments VALUES(16, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(16, 'Great!');
INSERT INTO Comments VALUES(16, 'I liked it!');
INSERT INTO Comments VALUES(16, 'Item in good condition');
INSERT INTO Comments VALUES(16, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(16, 'Item in good condition');
INSERT INTO Comments VALUES(16, 'Good!');
INSERT INTO Comments VALUES(16, 'I liked it!');
INSERT INTO Comments VALUES(16, 'Item was delivered early!');
INSERT INTO Comments VALUES(16, 'Item in perfect condition');
INSERT INTO Comments VALUES(16, 'Item was delivered early!');
INSERT INTO Comments VALUES(16, 'Wonderful!');
INSERT INTO Comments VALUES(16, 'Buying it was a good decision');
INSERT INTO Comments VALUES(16, 'Item in perfect condition');
INSERT INTO Comments VALUES(16, 'Item came late');
INSERT INTO Comments VALUES(16, 'Wonderful!');
INSERT INTO Comments VALUES(16, 'Item in good condition');
INSERT INTO Comments VALUES(17, 'Item in good condition');
INSERT INTO Comments VALUES(17, 'Wonderful!');
INSERT INTO Comments VALUES(17, 'Great product');
INSERT INTO Comments VALUES(17, 'Useful product!');
INSERT INTO Comments VALUES(17, 'Useful product!');
INSERT INTO Comments VALUES(17, 'Great product');
INSERT INTO Comments VALUES(17, 'Item in good condition');
INSERT INTO Comments VALUES(17, 'Buying it was a good decision');
INSERT INTO Comments VALUES(17, 'Great!');
INSERT INTO Comments VALUES(17, 'Item in perfect condition');
INSERT INTO Comments VALUES(17, 'Useful product!');
INSERT INTO Comments VALUES(17, 'I liked it!');
INSERT INTO Comments VALUES(17, 'Item was delivered early!');
INSERT INTO Comments VALUES(17, 'Item came late');
INSERT INTO Comments VALUES(17, 'Item came late');
INSERT INTO Comments VALUES(17, 'Great!');
INSERT INTO Comments VALUES(17, 'Great product');
INSERT INTO Comments VALUES(17, 'Good!');
INSERT INTO Comments VALUES(17, 'Great!');
INSERT INTO Comments VALUES(17, 'Good!');
INSERT INTO Comments VALUES(18, 'Item was delivered early!');
INSERT INTO Comments VALUES(18, 'Good!');
INSERT INTO Comments VALUES(18, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(18, 'Good!');
INSERT INTO Comments VALUES(18, 'Useful product!');
INSERT INTO Comments VALUES(18, 'Great product');
INSERT INTO Comments VALUES(18, 'Great!');
INSERT INTO Comments VALUES(18, 'Item came late');
INSERT INTO Comments VALUES(18, 'I liked it!');
INSERT INTO Comments VALUES(18, 'Great product');
INSERT INTO Comments VALUES(18, 'Useful product!');
INSERT INTO Comments VALUES(18, 'Wonderful!');
INSERT INTO Comments VALUES(18, 'Item was delivered early!');
INSERT INTO Comments VALUES(18, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(18, 'Useful product!');
INSERT INTO Comments VALUES(18, 'Good!');
INSERT INTO Comments VALUES(18, 'Item came late');
INSERT INTO Comments VALUES(18, 'Wonderful!');
INSERT INTO Comments VALUES(18, 'Item in good condition');
INSERT INTO Comments VALUES(18, 'I liked it!');
INSERT INTO Comments VALUES(19, 'I liked it!');
INSERT INTO Comments VALUES(19, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(19, 'Useful product!');
INSERT INTO Comments VALUES(19, 'Item was delivered early!');
INSERT INTO Comments VALUES(19, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(19, 'Buying it was a good decision');
INSERT INTO Comments VALUES(19, 'Buying it was a good decision');
INSERT INTO Comments VALUES(19, 'Item in perfect condition');
INSERT INTO Comments VALUES(19, 'Item in perfect condition');
INSERT INTO Comments VALUES(19, 'Item in good condition');
INSERT INTO Comments VALUES(19, 'Buying it was a good decision');
INSERT INTO Comments VALUES(19, 'Useful product!');
INSERT INTO Comments VALUES(19, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(19, 'Great!');
INSERT INTO Comments VALUES(19, 'I liked it!');
INSERT INTO Comments VALUES(19, 'Item in good condition');
INSERT INTO Comments VALUES(19, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(19, 'Item in good condition');
INSERT INTO Comments VALUES(19, 'Good!');
INSERT INTO Comments VALUES(19, 'I liked it!');
-- ConC comments
INSERT INTO Comments VALUES(19, 'I like the item as well');
INSERT INTO Comments VALUES(18, 'Item in perfect condition');
INSERT INTO Comments VALUES(17, 'Item came late for me');
INSERT INTO Comments VALUES(16, 'Item came on time for me');
INSERT INTO Comments VALUES(15, 'Item was good');
INSERT INTO Comments VALUES(19, 'In my opinion, it was a good item');
INSERT INTO Comments VALUES(18, 'Yep definitely a good buy');
INSERT INTO Comments VALUES(17, 'Worth noting');
INSERT INTO Comments VALUES(16, 'Worth considering');
INSERT INTO Comments VALUES(15, 'Maybe it is not what it seems like');
INSERT INTO Comments VALUES(14, 'Great item');
INSERT INTO Comments VALUES(13, 'Everyone should try it');
INSERT INTO Comments VALUES(12, 'Maybe it is not what it seems like');
INSERT INTO Comments VALUES(11, 'Worth noting');
INSERT INTO Comments VALUES(10, 'Worth considering');
INSERT INTO Comments VALUES(14, 'Item was good');
INSERT INTO Comments VALUES(13, 'Item came on time for me');
INSERT INTO Comments VALUES(12, 'Maybe it is not what it seems like');
INSERT INTO Comments VALUES(11, 'Worth noting');
INSERT INTO Comments VALUES(10, 'Item in perfect condition');
-- 410
INSERT INTO Comments VALUES(1, 'I liked it!');
INSERT INTO Comments VALUES(1, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(1, 'Useful product!');
INSERT INTO Comments VALUES(1, 'Item was delivered early!');
INSERT INTO Comments VALUES(1, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(1, 'Buying it was a good decision');
INSERT INTO Comments VALUES(1, 'Buying it was a good decision');
INSERT INTO Comments VALUES(1, 'Item in perfect condition');
INSERT INTO Comments VALUES(1, 'Item in perfect condition');
INSERT INTO Comments VALUES(1, 'Item in good condition');
INSERT INTO Comments VALUES(1, 'Buying it was a good decision');
INSERT INTO Comments VALUES(1, 'Useful product!');
INSERT INTO Comments VALUES(1, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(1, 'Great!');
INSERT INTO Comments VALUES(1, 'I liked it!');
INSERT INTO Comments VALUES(1, 'Item in good condition');
INSERT INTO Comments VALUES(1, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(1, 'Item in good condition');
INSERT INTO Comments VALUES(1, 'Good!');
INSERT INTO Comments VALUES(1, 'I liked it!');
INSERT INTO Comments VALUES(1, 'I liked it!');
INSERT INTO Comments VALUES(1, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(1, 'Useful product!');
INSERT INTO Comments VALUES(1, 'Item was delivered early!');
INSERT INTO Comments VALUES(1, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(1, 'Buying it was a good decision');
INSERT INTO Comments VALUES(1, 'Buying it was a good decision');
INSERT INTO Comments VALUES(1, 'Item in perfect condition');
INSERT INTO Comments VALUES(1, 'Item in perfect condition');
INSERT INTO Comments VALUES(1, 'Item in good condition');
INSERT INTO Comments VALUES(1, 'Buying it was a good decision');
INSERT INTO Comments VALUES(1, 'Useful product!');
INSERT INTO Comments VALUES(1, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(1, 'Great!');
INSERT INTO Comments VALUES(1, 'I liked it!');
INSERT INTO Comments VALUES(1, 'Item in good condition');
INSERT INTO Comments VALUES(1, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(1, 'Item in good condition');
INSERT INTO Comments VALUES(1, 'Good!');
INSERT INTO Comments VALUES(1, 'I liked it!');
INSERT INTO Comments VALUES(1, 'Buying it was a good decision');
INSERT INTO Comments VALUES(1, 'Useful product!');
INSERT INTO Comments VALUES(1, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(1, 'Great!');
INSERT INTO Comments VALUES(1, 'I liked it!');
INSERT INTO Comments VALUES(1, 'Item in good condition');
INSERT INTO Comments VALUES(1, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(1, 'Item in good condition');
INSERT INTO Comments VALUES(1, 'Good!');
INSERT INTO Comments VALUES(1, 'I liked it!');
--460
INSERT INTO Comments VALUES(2, 'I liked it!');
INSERT INTO Comments VALUES(2, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(2, 'Useful product!');
INSERT INTO Comments VALUES(2, 'Item was delivered early!');
INSERT INTO Comments VALUES(2, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(2, 'Buying it was a good decision');
INSERT INTO Comments VALUES(2, 'Buying it was a good decision');
INSERT INTO Comments VALUES(2, 'Item in perfect condition');
INSERT INTO Comments VALUES(2, 'Item in perfect condition');
INSERT INTO Comments VALUES(2, 'Item in good condition');
INSERT INTO Comments VALUES(2, 'Buying it was a good decision');
INSERT INTO Comments VALUES(2, 'Useful product!');
INSERT INTO Comments VALUES(2, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(2, 'Great!');
INSERT INTO Comments VALUES(2, 'I liked it!');
INSERT INTO Comments VALUES(2, 'Item in good condition');
INSERT INTO Comments VALUES(2, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(2, 'Item in good condition');
INSERT INTO Comments VALUES(2, 'Good!');
INSERT INTO Comments VALUES(2, 'I liked it!');
INSERT INTO Comments VALUES(2, 'I liked it!');
INSERT INTO Comments VALUES(2, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(2, 'Useful product!');
INSERT INTO Comments VALUES(2, 'Item was delivered early!');
INSERT INTO Comments VALUES(2, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(2, 'Buying it was a good decision');
INSERT INTO Comments VALUES(2, 'Buying it was a good decision');
INSERT INTO Comments VALUES(2, 'Item in perfect condition');
INSERT INTO Comments VALUES(2, 'Item in perfect condition');
INSERT INTO Comments VALUES(2, 'Item in good condition');
INSERT INTO Comments VALUES(2, 'Buying it was a good decision');
INSERT INTO Comments VALUES(2, 'Useful product!');
INSERT INTO Comments VALUES(2, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(2, 'Great!');
INSERT INTO Comments VALUES(2, 'I liked it!');
INSERT INTO Comments VALUES(2, 'Item in good condition');
INSERT INTO Comments VALUES(2, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(2, 'Item in good condition');
INSERT INTO Comments VALUES(2, 'Good!');
INSERT INTO Comments VALUES(2, 'I liked it!');
INSERT INTO Comments VALUES(2, 'Buying it was a good decision');
INSERT INTO Comments VALUES(2, 'Useful product!');
INSERT INTO Comments VALUES(2, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(2, 'Great!');
INSERT INTO Comments VALUES(2, 'I liked it!');
INSERT INTO Comments VALUES(2, 'Item in good condition');
INSERT INTO Comments VALUES(2, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(2, 'Item in good condition');
INSERT INTO Comments VALUES(2, 'Good!');
INSERT INTO Comments VALUES(2, 'I liked it!');
--510
INSERT INTO Comments VALUES(3, 'I liked it!');
INSERT INTO Comments VALUES(3, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(3, 'Useful product!');
INSERT INTO Comments VALUES(3, 'Item was delivered early!');
INSERT INTO Comments VALUES(3, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(3, 'Buying it was a good decision');
INSERT INTO Comments VALUES(3, 'Buying it was a good decision');
INSERT INTO Comments VALUES(3, 'Item in perfect condition');
INSERT INTO Comments VALUES(3, 'Item in perfect condition');
INSERT INTO Comments VALUES(3, 'Item in good condition');
INSERT INTO Comments VALUES(3, 'Buying it was a good decision');
INSERT INTO Comments VALUES(3, 'Useful product!');
INSERT INTO Comments VALUES(3, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(3, 'Great!');
INSERT INTO Comments VALUES(3, 'I liked it!');
INSERT INTO Comments VALUES(3, 'Item in good condition');
INSERT INTO Comments VALUES(3, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(3, 'Item in good condition');
INSERT INTO Comments VALUES(3, 'Good!');
INSERT INTO Comments VALUES(3, 'I liked it!');
INSERT INTO Comments VALUES(3, 'I liked it!');
INSERT INTO Comments VALUES(3, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(3, 'Useful product!');
INSERT INTO Comments VALUES(3, 'Item was delivered early!');
INSERT INTO Comments VALUES(3, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(3, 'Buying it was a good decision');
INSERT INTO Comments VALUES(3, 'Buying it was a good decision');
INSERT INTO Comments VALUES(3, 'Item in perfect condition');
INSERT INTO Comments VALUES(3, 'Item in perfect condition');
INSERT INTO Comments VALUES(3, 'Item in good condition');
INSERT INTO Comments VALUES(3, 'Buying it was a good decision');
INSERT INTO Comments VALUES(3, 'Useful product!');
INSERT INTO Comments VALUES(3, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(3, 'Great!');
INSERT INTO Comments VALUES(3, 'I liked it!');
INSERT INTO Comments VALUES(3, 'Item in good condition');
INSERT INTO Comments VALUES(3, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(3, 'Item in good condition');
INSERT INTO Comments VALUES(3, 'Good!');
INSERT INTO Comments VALUES(3, 'I liked it!');
INSERT INTO Comments VALUES(3, 'Buying it was a good decision');
INSERT INTO Comments VALUES(3, 'Useful product!');
INSERT INTO Comments VALUES(3, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(3, 'Great!');
INSERT INTO Comments VALUES(3, 'I liked it!');
INSERT INTO Comments VALUES(3, 'Item in good condition');
INSERT INTO Comments VALUES(3, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(3, 'Item in good condition');
INSERT INTO Comments VALUES(3, 'Good!');
INSERT INTO Comments VALUES(3, 'I liked it!');
--560
INSERT INTO Comments VALUES(4, 'I liked it!');
INSERT INTO Comments VALUES(4, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(4, 'Useful product!');
INSERT INTO Comments VALUES(4, 'Item was delivered early!');
INSERT INTO Comments VALUES(4, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(4, 'Buying it was a good decision');
INSERT INTO Comments VALUES(4, 'Buying it was a good decision');
INSERT INTO Comments VALUES(4, 'Item in perfect condition');
INSERT INTO Comments VALUES(4, 'Item in perfect condition');
INSERT INTO Comments VALUES(4, 'Item in good condition');
INSERT INTO Comments VALUES(4, 'Buying it was a good decision');
INSERT INTO Comments VALUES(4, 'Useful product!');
INSERT INTO Comments VALUES(4, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(4, 'Great!');
INSERT INTO Comments VALUES(4, 'I liked it!');
INSERT INTO Comments VALUES(4, 'Item in good condition');
INSERT INTO Comments VALUES(4, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(4, 'Item in good condition');
INSERT INTO Comments VALUES(4, 'Good!');
INSERT INTO Comments VALUES(4, 'I liked it!');
INSERT INTO Comments VALUES(4, 'I liked it!');
INSERT INTO Comments VALUES(4, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(4, 'Useful product!');
INSERT INTO Comments VALUES(4, 'Item was delivered early!');
INSERT INTO Comments VALUES(4, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(4, 'Buying it was a good decision');
INSERT INTO Comments VALUES(4, 'Buying it was a good decision');
INSERT INTO Comments VALUES(4, 'Item in perfect condition');
INSERT INTO Comments VALUES(4, 'Item in perfect condition');
INSERT INTO Comments VALUES(4, 'Item in good condition');
INSERT INTO Comments VALUES(4, 'Buying it was a good decision');
INSERT INTO Comments VALUES(4, 'Useful product!');
INSERT INTO Comments VALUES(4, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(4, 'Great!');
INSERT INTO Comments VALUES(4, 'I liked it!');
INSERT INTO Comments VALUES(4, 'Item in good condition');
INSERT INTO Comments VALUES(4, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(4, 'Item in good condition');
INSERT INTO Comments VALUES(4, 'Good!');
INSERT INTO Comments VALUES(4, 'I liked it!');
INSERT INTO Comments VALUES(4, 'Buying it was a good decision');
INSERT INTO Comments VALUES(4, 'Useful product!');
INSERT INTO Comments VALUES(4, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(4, 'Great!');
INSERT INTO Comments VALUES(4, 'I liked it!');
INSERT INTO Comments VALUES(4, 'Item in good condition');
INSERT INTO Comments VALUES(4, 'I regret buying it but I guess it is okay');
INSERT INTO Comments VALUES(4, 'Item in good condition');
INSERT INTO Comments VALUES(4, 'Good!');
INSERT INTO Comments VALUES(4, 'I liked it!');
INSERT INTO Comments_on_Comments VALUES(391, 1);
INSERT INTO Comments_on_Comments VALUES(392, 5);
INSERT INTO Comments_on_Comments VALUES(393, 10);
INSERT INTO Comments_on_Comments VALUES(394, 15);
INSERT INTO Comments_on_Comments VALUES(395, 20);
INSERT INTO Comments_on_Comments VALUES(396, 25);
INSERT INTO Comments_on_Comments VALUES(397, 30);
INSERT INTO Comments_on_Comments VALUES(398, 35);
INSERT INTO Comments_on_Comments VALUES(399, 40);
INSERT INTO Comments_on_Comments VALUES(400, 45);
INSERT INTO Comments_on_Comments VALUES(401, 50);
INSERT INTO Comments_on_Comments VALUES(402, 55);
INSERT INTO Comments_on_Comments VALUES(403, 60);
INSERT INTO Comments_on_Comments VALUES(404, 65);
INSERT INTO Comments_on_Comments VALUES(405, 70);
INSERT INTO Comments_on_Comments VALUES(406, 75);
INSERT INTO Comments_on_Comments VALUES(407, 80);
INSERT INTO Comments_on_Comments VALUES(408, 85);
INSERT INTO Comments_on_Comments VALUES(409, 90);
INSERT INTO Comments_on_Comments VALUES(410, 100);
--order_id = 1, user_id = 1 with created_at date of 2018-6-1
INSERT INTO Review VALUES(1, 1, 'iStudio', 'iPhone X', 5, 1, '2018-06-13 23:23:09.399');
INSERT INTO Review VALUES(1, 1, 'iStudio', 'iPhone XS', 5, 2, '2018-06-06 02:57:56.384');
INSERT INTO Review VALUES(1, 1, 'iStudio', 'iPhone XR', 3, 3, '2018-06-05 04:12:31.442');
INSERT INTO Review VALUES(1, 1, 'Royal Sporting House', 'Ultraboost Shoes', 5, 4, '2018-06-11 02:59:35.085');
INSERT INTO Review VALUES(1, 1, 'Royal Sporting House', 'KAVAL Hoodie', 5, 5, '2018-06-23 11:06:42.669');
INSERT INTO Review VALUES(1, 1, 'Royal Sporting House', 'KAVAL Cap', 3, 6, '2018-06-17 08:21:16.824');
INSERT INTO Review VALUES(1, 1, 'Adidas', 'Ultraboost Shoes', 5, 7, '2018-06-09 21:49:05.935');
INSERT INTO Review VALUES(1, 1, 'Adidas', 'Pureboost RBL Shoes', 5, 8, '2018-06-23 01:46:21.697');
INSERT INTO Review VALUES(1, 1, 'Family House','Quickdrive Washing Machine', 4, 9, '2018-06-12 07:30:00.747');
INSERT INTO Review VALUES(1, 1, 'Family House','Ecobubble Washing Machine', 5, 10, '2018-06-02 03:29:08.196');
--order_id = 2, user_id = 1 with created_at date of 2018-6-3
INSERT INTO Review VALUES(2, 1, 'iStudio', 'iPhone X', 5, 11, '2018-06-04 06:46:03.961');
INSERT INTO Review VALUES(2, 1, 'iStudio', 'iPhone XS', 5, 12, '2018-06-15 18:20:49.906');
INSERT INTO Review VALUES(2, 1, 'iStudio', 'iPhone XR', 5, 13, '2018-06-23 10:20:45.277');
INSERT INTO Review VALUES(2, 1, 'Royal Sporting House', 'Ultraboost Shoes', 5, 14, '2018-06-27 09:07:19.393');
INSERT INTO Review VALUES(2, 1, 'Royal Sporting House', 'KAVAL Hoodie', 5, 15, '2018-06-25 06:33:24.922');
INSERT INTO Review VALUES(2, 1, 'Royal Sporting House', 'KAVAL Cap', 5, 16, '2018-06-30 09:56:54.628');
INSERT INTO Review VALUES(2, 1, 'Adidas', 'Ultraboost Shoes', 1, 17, '2018-06-30 16:16:53.700');
INSERT INTO Review VALUES(2, 1, 'Adidas', 'Pureboost RBL Shoes', 1, 18, '2018-06-07 17:04:55.182');
INSERT INTO Review VALUES(2, 1, 'Family House','Quickdrive Washing Machine', 5, 19, '2018-06-30 12:55:58.529');
INSERT INTO Review VALUES(2, 1, 'Family House','Ecobubble Washing Machine', 5, 20, '2018-06-10 00:28:22.905');
--order_id = 3, user_id = 2 with created_at date of 2018-6-10
INSERT INTO Review VALUES(3, 2, 'Nubox', 'Galaxy S7', 2, 21, '2018-06-13 09:12:24.344');
INSERT INTO Review VALUES(3, 2, 'Nubox', 'Galaxy S6', 4, 22, '2018-06-20 20:46:41.462');
INSERT INTO Review VALUES(3, 2, 'iStudio', 'iPhone X', 5, 23, '2018-06-20 19:56:21.170');
INSERT INTO Review VALUES(3, 2, 'iStudio', 'iPhone XS', 5, 24, '2018-06-11 08:49:00.221');
INSERT INTO Review VALUES(3, 2, 'iStudio', 'iPhone XR', 2, 25, '2018-06-24 23:22:07.794');
INSERT INTO Review VALUES(3, 2, 'Royal Sporting House', 'Ultraboost Shoes', 5, 26, '2018-06-16 00:25:18.432');
INSERT INTO Review VALUES(3, 2, 'Royal Sporting House', 'KAVAL Hoodie', 5, 27, '2018-06-17 04:01:50.536');
INSERT INTO Review VALUES(3, 2, 'Royal Sporting House', 'KAVAL Cap', 5, 28, '2018-06-16 13:04:00.987');
INSERT INTO Review VALUES(3, 2, 'Adidas', 'Ultraboost Shoes', 5, 29, '2018-06-14 10:50:31.757');
INSERT INTO Review VALUES(3, 2, 'Adidas', 'Pureboost RBL Shoes', 5, 30, '2018-06-18 16:40:49.247');
--order_id = 4, user_id = 3 with created_at date of 2018-6-13
INSERT INTO Review VALUES(4, 3, 'iStudio', 'iPhone XS', 5, 31, '2018-06-29 11:13:00.941');
INSERT INTO Review VALUES(4, 3, 'iStudio', 'iPhone XR', 5, 32, '2018-06-17 14:53:05.581');
INSERT INTO Review VALUES(4, 3, 'Royal Sporting House', 'Ultraboost Shoes', 1, 33, '2018-06-28 00:20:25.233');
INSERT INTO Review VALUES(4, 3, 'Royal Sporting House', 'KAVAL Hoodie', 5, 34, '2018-06-27 05:42:05.574');
INSERT INTO Review VALUES(4, 3, 'Royal Sporting House', 'KAVAL Cap', 5, 35, '2018-06-21 16:11:47.437');
INSERT INTO Review VALUES(4, 3, 'Adidas', 'Ultraboost Shoes', 1, 36, '2018-06-30 16:55:10.371');
INSERT INTO Review VALUES(4, 3, 'Adidas', 'Pureboost RBL Shoes', 5, 37, '2018-06-29 21:32:46.388');
INSERT INTO Review VALUES(4, 3, 'Family House','Quickdrive Washing Machine', 1, 38, '2018-06-26 06:19:55.732');
INSERT INTO Review VALUES(4, 3, 'Family House','Ecobubble Washing Machine', 5, 39, '2018-06-22 21:39:04.346');
INSERT INTO Review VALUES(4, 3, 'Phone Buy', 'iPhone X', 5, 40, '2018-06-30 09:15:48.565');
--order_id = 5, user_id = 4 with created_at date of 2018-6-15
INSERT INTO Review VALUES(5, 4, 'Nubox', 'Galaxy S9', 5, 41, '2018-06-24 02:41:17.979');
INSERT INTO Review VALUES(5, 4, 'Nubox', 'Galaxy S7', 5, 42, '2018-06-28 23:45:03.246');
INSERT INTO Review VALUES(5, 4, 'Nubox', 'Galaxy S6', 5, 43, '2018-06-23 02:18:45.946');
INSERT INTO Review VALUES(5, 4, 'iStudio', 'iPhone X', 1, 44, '2018-06-19 21:17:37.242');
INSERT INTO Review VALUES(5, 4, 'iStudio', 'iPhone XS', 3, 45, '2018-06-19 00:35:36.187');
INSERT INTO Review VALUES(5, 4, 'iStudio', 'iPhone XR', 5, 46, '2018-06-24 17:52:04.092');
INSERT INTO Review VALUES(5, 4, 'Royal Sporting House', 'Ultraboost Shoes', 5, 47, '2018-06-29 17:05:39.161');
INSERT INTO Review VALUES(5, 4, 'Royal Sporting House', 'KAVAL Hoodie', 5, 48, '2018-06-21 22:45:24.564');
INSERT INTO Review VALUES(5, 4, 'Royal Sporting House', 'KAVAL Cap', 5, 49, '2018-06-20 06:21:18.283');
INSERT INTO Review VALUES(5, 4, 'Adidas', 'Ultraboost Shoes', 5, 50, '2018-06-16 06:02:11.486');
--order_id = 6, user_id = 5 with created_at date of 2018-6-16
INSERT INTO Review VALUES(6, 5, 'iStudio', 'iPhone XR', 1, 51, '2018-06-20 14:58:42.653');
INSERT INTO Review VALUES(6, 5, 'Royal Sporting House', 'Ultraboost Shoes', 3, 52, '2018-06-25 20:10:07.187');
INSERT INTO Review VALUES(6, 5, 'Royal Sporting House', 'KAVAL Hoodie', 5, 53, '2018-06-25 06:30:11.761');
INSERT INTO Review VALUES(6, 5, 'Royal Sporting House', 'KAVAL Cap', 5, 54, '2018-06-19 23:16:47.199');
INSERT INTO Review VALUES(6, 5, 'Adidas', 'Ultraboost Shoes', 5, 55, '2018-06-18 12:52:39.803');
INSERT INTO Review VALUES(6, 5, 'Adidas', 'Pureboost RBL Shoes', 4, 56, '2018-06-29 14:28:05.174');
INSERT INTO Review VALUES(6, 5, 'Family House','Quickdrive Washing Machine', 5, 57, '2018-06-30 00:10:01.566');
INSERT INTO Review VALUES(6, 5, 'Family House','Ecobubble Washing Machine', 3, 58, '2018-06-20 23:28:38.687');
INSERT INTO Review VALUES(6, 5, 'Phone Buy', 'iPhone X', 5, 59, '2018-06-27 13:51:32.653');
INSERT INTO Review VALUES(6, 5, 'Phone Buy', 'iPhone XS', 3, 60, '2018-06-24 02:40:54.603');
--order_id = 7, user_id = 6 with created_at date of 2018-6-11
INSERT INTO Review VALUES(7, 6, 'Royal Sporting House', 'KAVAL Hoodie', 5, 61, '2018-06-23 12:08:41.554');
INSERT INTO Review VALUES(7, 6, 'Royal Sporting House', 'KAVAL Cap', 1, 62, '2018-06-15 18:31:18.699');
INSERT INTO Review VALUES(7, 6, 'Adidas', 'Ultraboost Shoes', 5, 63, '2018-06-27 10:12:54.702');
INSERT INTO Review VALUES(7, 6, 'Adidas', 'Pureboost RBL Shoes', 5, 64, '2018-06-30 12:17:05.812');
INSERT INTO Review VALUES(7, 6, 'Family House','Quickdrive Washing Machine', 2, 65, '2018-06-18 20:54:51.867');
INSERT INTO Review VALUES(7, 6, 'Family House','Ecobubble Washing Machine', 5, 66, '2018-06-21 07:48:27.636');
INSERT INTO Review VALUES(7, 6, 'Phone Buy', 'iPhone X', 5, 67, '2018-06-30 15:23:29.134');
INSERT INTO Review VALUES(7, 6, 'Phone Buy', 'iPhone XS', 5, 68, '2018-06-21 10:04:45.465');
INSERT INTO Review VALUES(7, 6, 'Phone Buy', 'iPhone XR', 1, 69, '2018-06-14 19:37:22.972');
INSERT INTO Review VALUES(7, 6, 'iChallenger', 'iPhone X', 5, 70, '2018-06-27 17:20:11.173');
--order_id = 8, user_id = 7 with created_at date of 2018-6-19
INSERT INTO Review VALUES(8, 7, 'iStudio', 'iPhone XR', 1, 71, '2018-06-26 04:51:04.860');
INSERT INTO Review VALUES(8, 7, 'Royal Sporting House', 'Ultraboost Shoes', 5, 72, '2018-06-20 07:54:07.872');
INSERT INTO Review VALUES(8, 7, 'Royal Sporting House', 'KAVAL Hoodie', 4, 73, '2018-06-30 12:24:20.278');
INSERT INTO Review VALUES(8, 7, 'Royal Sporting House', 'KAVAL Cap', 4, 74, '2018-06-20 11:08:20.207');
INSERT INTO Review VALUES(8, 7, 'Adidas', 'Ultraboost Shoes', 5, 75, '2018-06-22 15:36:28.094');
INSERT INTO Review VALUES(8, 7, 'Adidas', 'Pureboost RBL Shoes', 3, 76, '2018-06-22 07:18:58.020');
INSERT INTO Review VALUES(8, 7, 'Family House','Quickdrive Washing Machine', 5, 77, '2018-06-28 21:08:47.372');
INSERT INTO Review VALUES(8, 7, 'Family House','Ecobubble Washing Machine', 5, 78, '2018-06-20 05:45:15.434');
INSERT INTO Review VALUES(8, 7, 'Phone Buy', 'iPhone X', 5, 79, '2018-06-24 19:41:31.478');
INSERT INTO Review VALUES(8, 7, 'Phone Buy', 'iPhone XS', 5, 80, '2018-06-24 17:59:02.744');
--order_id = 9, user_id = 8 with created_at date of 2018-6-21
INSERT INTO Review VALUES(9, 8, 'Royal Sporting House', 'KAVAL Cap', 5, 81, '2018-06-27 16:52:52.037');
INSERT INTO Review VALUES(9, 8, 'Adidas', 'Ultraboost Shoes', 5, 82, '2018-06-22 04:03:49.055');
INSERT INTO Review VALUES(9, 8, 'Adidas', 'Pureboost RBL Shoes', 5, 83, '2018-06-27 20:01:15.444');
INSERT INTO Review VALUES(9, 8, 'Family House','Quickdrive Washing Machine', 5, 84, '2018-06-23 03:29:28.08');
INSERT INTO Review VALUES(9, 8, 'Family House','Ecobubble Washing Machine', 3, 85, '2018-06-27 14:03:42.274');
INSERT INTO Review VALUES(9, 8, 'Phone Buy', 'iPhone X', 5, 86, '2018-06-28 14:38:18.658');
INSERT INTO Review VALUES(9, 8, 'Phone Buy', 'iPhone XS', 5, 87, '2018-06-23 12:20:04.373');
INSERT INTO Review VALUES(9, 8, 'Phone Buy', 'iPhone XR', 5, 88, '2018-06-29 19:26:38.654');
INSERT INTO Review VALUES(9, 8, 'iChallenger', 'iPhone X', 5, 89, '2018-06-30 00:03:57.521');
INSERT INTO Review VALUES(9, 8, 'iChallenger', 'iPhone XS', 5, 90, '2018-06-22 18:46:12.325');
--order_id = 10, user_id = 9 with created_at date of 2018-8-2
INSERT INTO Review VALUES(10, 9, 'Phone Buy', 'iPhone X', 5, 91, '2018-08-22 13:36:27.645');
INSERT INTO Review VALUES(10, 9, 'Phone Buy', 'iPhone XS', 1, 92, '2018-08-08 06:12:14.864');
INSERT INTO Review VALUES(10, 9, 'Phone Buy', 'iPhone XR', 5, 93, '2018-08-20 13:17:05.021');
INSERT INTO Review VALUES(10, 9, 'iChallenger', 'iPhone X', 5, 94, '2018-08-21 01:08:12.193');
INSERT INTO Review VALUES(10, 9, 'iChallenger', 'iPhone XS', 5, 95, '2018-08-13 12:21:20.454');
--order_id = 11, user_id = 9 with created_at date of 2018-8-3
INSERT INTO Review VALUES(11, 9, 'Family House','Quickdrive Washing Machine', 5, 96, '2018-08-10 02:27:33.832');
INSERT INTO Review VALUES(11, 9, 'Family House','Ecobubble Washing Machine', 5, 97, '2018-08-07 11:50:32.490');
INSERT INTO Review VALUES(11, 9, 'Phone Buy', 'iPhone X', 5, 98, '2018-08-16 16:30:32.268');
INSERT INTO Review VALUES(11, 9, 'Phone Buy', 'iPhone XS', 5, 99, '2018-08-07 19:11:04.596');
INSERT INTO Review VALUES(11, 9, 'Phone Buy', 'iPhone XR', 5, 100, '2018-08-10 03:11:20.323');
--order_id = 12, user_id = 9 with created_at date of 2018-8-4
INSERT INTO Review VALUES(12, 9, 'iStudio', 'iPhone XS', 5, 101, '2018-08-29 20:01:02.075');
INSERT INTO Review VALUES(12, 9, 'iStudio', 'iPhone XR', 5, 102, '2018-08-05 04:46:50.230');
INSERT INTO Review VALUES(12, 9, 'Royal Sporting House', 'Ultraboost Shoes', 3, 103, '2018-08-05 03:00:16.822');
INSERT INTO Review VALUES(12, 9, 'Royal Sporting House', 'KAVAL Hoodie', 5, 104, '2018-08-17 04:23:45.632');
INSERT INTO Review VALUES(12, 9, 'Royal Sporting House', 'KAVAL Cap', 5, 105, '2018-08-27 16:07:33.919');
--order_id = 13, user_id = 9 with created_at date of 2018-8-5
INSERT INTO Review VALUES(13, 9, 'Family House','Quickdrive Washing Machine', 5, 106, '2018-08-23 04:53:56.381');
INSERT INTO Review VALUES(13, 9, 'Family House','Ecobubble Washing Machine', 3, 107, '2018-08-19 16:39:43.162');
INSERT INTO Review VALUES(13, 9, 'Phone Buy', 'iPhone X', 5, 108, '2018-08-25 03:22:30.855');
INSERT INTO Review VALUES(13, 9, 'Phone Buy', 'iPhone XS', 1, 109, '2018-08-28 09:33:07.575');
INSERT INTO Review VALUES(13, 9, 'Phone Buy', 'iPhone XR', 3, 110, '2018-08-06 14:03:47.276');
--order_id = 11, user_id = 9 with created_at date of 2018-8-3
INSERT INTO Review VALUES(14, 9, 'iStudio', 'iPhone X', 5, 111, '2018-08-28 07:38:58.143');
INSERT INTO Review VALUES(14, 9, 'iStudio', 'iPhone XS', 5, 112, '2018-08-17 20:14:47.491');
INSERT INTO Review VALUES(14, 9, 'iStudio', 'iPhone XR', 5, 113, '2018-08-11 05:22:09.077');
INSERT INTO Review VALUES(14, 9, 'Royal Sporting House', 'Ultraboost Shoes', 5, 114, '2018-08-11 17:25:47.488');
INSERT INTO Review VALUES(14, 9, 'Royal Sporting House', 'KAVAL Hoodie', 4, 115, '2018-08-04 05:41:15.437');
--order_id = 12, user_id = 9 with created_at date of 2018-8-4
INSERT INTO Review VALUES(15, 9, 'Nubox', 'iPhone XS', 5, 116, '2018-08-25 09:05:11.445');
INSERT INTO Review VALUES(15, 9, 'Nubox', 'Galaxy S9', 5, 117, '2018-08-15 06:55:23.473');
INSERT INTO Review VALUES(15, 9, 'Nubox', 'Galaxy S7', 5, 118, '2018-08-13 09:16:28.443');
INSERT INTO Review VALUES(15, 9, 'Nubox', 'Galaxy S6', 5, 119, '2018-08-25 23:06:35.173');
INSERT INTO Review VALUES(15, 9, 'iStudio', 'iPhone X', 1, 120, '2018-08-17 09:22:13.320');
--order_id = 13, user_id = 9 with created_at date of 2018-8-5
INSERT INTO Review VALUES(16, 9, 'Adidas', 'Ultraboost Shoes', 5, 121, '2018-08-17 06:12:49.356');
INSERT INTO Review VALUES(16, 9, 'Adidas', 'Pureboost RBL Shoes', 5, 122, '2018-08-23 04:18:45.637');
INSERT INTO Review VALUES(16, 9, 'Family House','Quickdrive Washing Machine', 5, 123, '2018-08-23 23:19:49.159');
INSERT INTO Review VALUES(16, 9, 'Family House','Ecobubble Washing Machine', 5, 124, '2018-08-12 17:25:03.520');
INSERT INTO Review VALUES(16, 9, 'Phone Buy', 'iPhone X', 5, 125, '2018-08-09 11:26:32.210');
--order_id = 14, user_id = 9 with created_at date of 2018-8-6
INSERT INTO Review VALUES(17, 9, 'Phone Buy', 'iPhone X', 5, 126, '2018-08-21 12:36:50.469');
INSERT INTO Review VALUES(17, 9, 'Phone Buy', 'iPhone XS', 5, 127, '2018-08-26 22:51:08.265');
INSERT INTO Review VALUES(17, 9, 'Phone Buy', 'iPhone XR', 5, 128, '2018-08-30 08:39:48.648');
INSERT INTO Review VALUES(17, 9, 'iChallenger', 'iPhone X', 5, 129, '2018-08-10 15:53:26.773');
INSERT INTO Review VALUES(17, 9, 'iChallenger', 'iPhone XS', 5, 130, '2018-08-09 03:49:33.426');
--order_id = 18, user_id = 10 with created_at date of 2018-8-5
INSERT INTO Review VALUES(18, 10, 'Royal Sporting House', 'KAVAL Cap', 5, 131, '2018-08-15 22:04:47.987');
INSERT INTO Review VALUES(18, 10, 'Adidas', 'Ultraboost Shoes', 5, 132, '2018-08-07 09:09:30.964');
INSERT INTO Review VALUES(18, 10, 'Adidas', 'Pureboost RBL Shoes', 5, 133, '2018-08-11 23:56:01.376');
INSERT INTO Review VALUES(18, 10, 'Family House','Quickdrive Washing Machine', 3, 134, '2018-08-24 13:47:29.456');
INSERT INTO Review VALUES(18, 10, 'Family House','Ecobubble Washing Machine', 5, 135, '2018-08-15 02:33:24.761');
--order_id = 19, user_id = 10 with created_at date of 2018-8-6
INSERT INTO Review VALUES(19, 10, 'Adidas', 'Ultraboost Shoes', 1, 136, '2018-08-12 14:15:36.147');
INSERT INTO Review VALUES(19, 10, 'Adidas', 'Pureboost RBL Shoes', 4, 137, '2018-08-14 04:07:31.511');
INSERT INTO Review VALUES(19, 10, 'Family House','Quickdrive Washing Machine', 5, 138, '2018-08-26 07:18:57.852');
INSERT INTO Review VALUES(19, 10, 'Family House','Ecobubble Washing Machine', 5, 139, '2018-08-12 00:34:18.373');
INSERT INTO Review VALUES(19, 10, 'Phone Buy', 'iPhone X', 5, 140, '2018-08-11 21:07:47.528');
--order_id = 20, user_id = 10 with created_at date of 2018-8-7
INSERT INTO Review VALUES(20, 10, 'Adidas', 'Pureboost RBL Shoes', 5, 141, '2018-08-09 16:05:02.408');
INSERT INTO Review VALUES(20, 10, 'Family House','Quickdrive Washing Machine', 1, 142, '2018-08-12 21:45:24.183');
INSERT INTO Review VALUES(20, 10, 'Family House','Ecobubble Washing Machine', 5, 143, '2018-08-15 20:38:09.243');
INSERT INTO Review VALUES(20, 10, 'Phone Buy', 'iPhone X', 5, 144, '2018-08-18 04:55:49.301');
INSERT INTO Review VALUES(20, 10, 'Phone Buy', 'iPhone XS', 5, 145, '2018-08-13 11:30:09.421');
--order_id = 21, user_id = 10 with created_at date of 2018-8-8
INSERT INTO Review VALUES(21, 10, 'iStudio', 'iPhone XR', 5, 146, '2018-08-27 14:49:42.153');
INSERT INTO Review VALUES(21, 10, 'Royal Sporting House', 'Ultraboost Shoes', 5, 147, '2018-08-21 13:09:54.376');
INSERT INTO Review VALUES(21, 10, 'Royal Sporting House', 'KAVAL Hoodie', 5, 148, '2018-08-30 20:22:06.404');
INSERT INTO Review VALUES(21, 10, 'Royal Sporting House', 'KAVAL Cap', 2, 149, '2018-08-28 22:23:26.109');
INSERT INTO Review VALUES(21, 10, 'Adidas', 'Ultraboost Shoes', 5, 150, '2018-08-15 00:14:38.231');
--order_id = 22, user_id = 10 with created_at date of 2018-8-6
INSERT INTO Review VALUES(22, 10, 'Adidas', 'Pureboost RBL Shoes', 5, 151, '2018-08-17 01:49:46.011');
INSERT INTO Review VALUES(22, 10, 'Family House','Quickdrive Washing Machine', 5, 152, '2018-08-13 08:44:51.412');
INSERT INTO Review VALUES(22, 10, 'Family House','Ecobubble Washing Machine', 2, 153, '2018-08-15 03:02:09.280');
INSERT INTO Review VALUES(22, 10, 'Phone Buy', 'iPhone X', 5, 154, '2018-08-27 14:05:10.487');
INSERT INTO Review VALUES(22, 10, 'Phone Buy', 'iPhone XS', 5, 155, '2018-08-16 17:57:07.437');
--order_id = 23, user_id = 10 with created_at date of 2018-8-7
INSERT INTO Review VALUES(23, 10, 'Royal Sporting House', 'KAVAL Hoodie', 5, 156, '2018-08-08 08:10:25.01');
INSERT INTO Review VALUES(23, 10, 'Royal Sporting House', 'KAVAL Cap', 5, 157, '2018-08-12 11:27:38.783');
INSERT INTO Review VALUES(23, 10, 'Adidas', 'Ultraboost Shoes', 4, 158, '2018-08-23 14:34:48.505');
INSERT INTO Review VALUES(23, 10, 'Adidas', 'Pureboost RBL Shoes', 5, 159, '2018-08-16 14:57:40.293');
INSERT INTO Review VALUES(23, 10, 'Family House','Quickdrive Washing Machine', 5, 160, '2018-08-19 00:19:32.237');
--order_id = 24, user_id = 10 with created_at date of 2018-8-8
INSERT INTO Review VALUES(24, 10, 'Nubox', 'iPhone X', 5, 161, '2018-08-30 06:47:21.200');
INSERT INTO Review VALUES(24, 10, 'Nubox', 'iPhone XS', 5, 162, '2018-08-11 08:40:47.144');
INSERT INTO Review VALUES(24, 10, 'Nubox', 'Galaxy S9', 5, 163, '2018-08-22 07:53:22.992');
INSERT INTO Review VALUES(24, 10, 'Nubox', 'Galaxy S7', 5, 164, '2018-08-17 10:32:09.997');
INSERT INTO Review VALUES(24, 10, 'Nubox', 'Galaxy S6', 5, 165, '2018-08-31 10:04:11.472');
--order_id = 25, user_id = 10 with created_at date of 2018-8-9
INSERT INTO Review VALUES(25, 10, 'Family House','Quickdrive Washing Machine', 3, 166, '2018-08-18 22:30:45.713');
INSERT INTO Review VALUES(25, 10, 'Family House','Ecobubble Washing Machine', 3, 167, '2018-08-11 03:42:41.231');
INSERT INTO Review VALUES(25, 10, 'Phone Buy', 'iPhone X', 5, 168, '2018-08-28 03:49:06.924');
INSERT INTO Review VALUES(25, 10, 'Phone Buy', 'iPhone XS', 5, 169, '2018-08-24 19:30:50.096');
INSERT INTO Review VALUES(25, 10, 'Phone Buy', 'iPhone XR', 5, 170, '2018-08-16 04:15:49.283');
--order_id = 26, user_id = 11 with created_at date of 2018-8-9
INSERT INTO Review VALUES(26, 11, 'Nubox', 'iPhone X', 5, 171, '2018-08-31 05:29:25.805');
INSERT INTO Review VALUES(26, 11, 'Nubox', 'iPhone XS', 5, 172, '2018-08-11 22:58:09.528');
INSERT INTO Review VALUES(26, 11, 'Nubox', 'Galaxy S9', 3, 173, '2018-08-28 08:20:26.975');
INSERT INTO Review VALUES(26, 11, 'Nubox', 'Galaxy S7', 5, 174, '2018-08-16 18:53:50.570');
INSERT INTO Review VALUES(26, 11, 'Nubox', 'Galaxy S6', 5, 175, '2018-08-10 04:00:12.448');
--order_id = 27, user_id = 11 with created_at date of 2018-8-10
INSERT INTO Review VALUES(27, 11, 'Adidas', 'Ultraboost Shoes', 5, 176, '2018-08-27 18:38:50.677');
INSERT INTO Review VALUES(27, 11, 'Adidas', 'Pureboost RBL Shoes', 5, 177, '2018-08-31 15:20:21.677');
INSERT INTO Review VALUES(27, 11, 'Family House','Quickdrive Washing Machine', 5, 178, '2018-08-28 10:15:07.901');
INSERT INTO Review VALUES(27, 11, 'Family House','Ecobubble Washing Machine', 5, 179, '2018-08-17 22:03:26.389');
INSERT INTO Review VALUES(27, 11, 'Phone Buy', 'iPhone X', 5, 180, '2018-08-20 14:46:15.268');
--order_id = 28, user_id = 11 with created_at date of 2018-8-11
INSERT INTO Review VALUES(28, 11, 'Nubox', 'iPhone X', 5, 181, '2018-08-25 06:16:39.388');
INSERT INTO Review VALUES(28, 11, 'Nubox', 'iPhone XS', 5, 182, '2018-08-21 02:20:00.197');
INSERT INTO Review VALUES(28, 11, 'Nubox', 'Galaxy S9', 5, 183, '2018-08-19 02:44:12.838');
INSERT INTO Review VALUES(28, 11, 'Nubox', 'Galaxy S7', 5, 184, '2018-08-24 11:30:45.981');
INSERT INTO Review VALUES(28, 11, 'Nubox', 'Galaxy S6', 2, 185, '2018-08-13 22:51:27.917');
--order_id = 29, user_id = 11 with created_at date of 2018-8-12
INSERT INTO Review VALUES(29, 11, 'iStudio', 'iPhone XS', 5, 186, '2018-08-27 05:57:25.539');
INSERT INTO Review VALUES(29, 11, 'iStudio', 'iPhone XR', 5, 187, '2018-08-13 06:09:05.859');
INSERT INTO Review VALUES(29, 11, 'Royal Sporting House', 'Ultraboost Shoes', 5, 188, '2018-08-26 04:06:41.294');
INSERT INTO Review VALUES(29, 11, 'Royal Sporting House', 'KAVAL Hoodie', 5, 189, '2018-08-31 17:18:43.968');
INSERT INTO Review VALUES(29, 11, 'Royal Sporting House', 'KAVAL Cap', 5, 190, '2018-08-22 19:27:06.468');
--order_id = 30, user_id = 11 with created_at date of 2018-8-10
INSERT INTO Review VALUES(30, 11, 'Family House','Ecobubble Washing Machine', 2, 191, '2018-08-13 20:21:40.293');
INSERT INTO Review VALUES(30, 11, 'Phone Buy', 'iPhone X', 5, 192, '2018-08-11 14:45:39.441');
INSERT INTO Review VALUES(30, 11, 'Phone Buy', 'iPhone XS', 5, 193, '2018-08-28 05:41:03.02');
INSERT INTO Review VALUES(30, 11, 'Phone Buy', 'iPhone XR', 3, 194, '2018-08-29 14:50:47.225');
INSERT INTO Review VALUES(30, 11, 'iChallenger', 'iPhone X', 5, 195, '2018-08-27 02:12:32.836');
--order_id = 31, user_id = 11 with created_at date of 2018-8-11
INSERT INTO Review VALUES(31, 11, 'Nubox', 'Galaxy S9', 4, 196, '2018-08-25 14:59:20.378');
INSERT INTO Review VALUES(31, 11, 'Nubox', 'Galaxy S7', 5, 197, '2018-08-29 08:32:04.549');
INSERT INTO Review VALUES(31, 11, 'Nubox', 'Galaxy S6', 5, 198, '2018-08-13 08:32:14.272');
INSERT INTO Review VALUES(31, 11, 'iStudio', 'iPhone X', 3, 199, '2018-08-29 02:58:47.701');
INSERT INTO Review VALUES(31, 11, 'iStudio', 'iPhone XS', 5, 200, '2018-08-18 00:25:19.432');
--order_id = 32, user_id = 11 with created_at date of 2018-8-12
INSERT INTO Review VALUES(32, 11, 'Nubox', 'Galaxy S6', 5, 201, '2018-08-13 20:34:21.021');
INSERT INTO Review VALUES(32, 11, 'iStudio', 'iPhone X', 5, 202, '2018-08-17 00:55:39.137');
INSERT INTO Review VALUES(32, 11, 'iStudio', 'iPhone XS', 5, 203, '2018-08-24 19:56:37.375');
INSERT INTO Review VALUES(32, 11, 'iStudio', 'iPhone XR', 5, 204, '2018-08-20 08:58:40.623');
INSERT INTO Review VALUES(32, 11, 'Royal Sporting House', 'Ultraboost Shoes', 5, 205, '2018-08-21 19:41:46.770');
--order_id = 33, user_id = 11 with created_at date of 2018-8-13
INSERT INTO Review VALUES(33, 11, 'Royal Sporting House', 'KAVAL Cap', 5, 206, '2018-08-24 05:22:26.841');
INSERT INTO Review VALUES(33, 11, 'Adidas', 'Ultraboost Shoes', 5, 207, '2018-08-16 13:46:13.796');
INSERT INTO Review VALUES(33, 11, 'Adidas', 'Pureboost RBL Shoes', 5, 208, '2018-08-27 16:42:43.123');
INSERT INTO Review VALUES(33, 11, 'Family House','Quickdrive Washing Machine', 3, 209, '2018-08-31 02:12:19.284');
INSERT INTO Review VALUES(33, 11, 'Family House','Ecobubble Washing Machine', 5, 210, '2018-08-15 21:14:55.044');
--order_id = 34, user_id = 12 with created_at date of 2018-8-12
INSERT INTO Review VALUES(34, 12, 'Adidas', 'Pureboost RBL Shoes', 5, 211, '2018-08-20 00:28:11.735');
INSERT INTO Review VALUES(34, 12, 'Family House','Quickdrive Washing Machine', 5, 212, '2018-08-21 04:56:45.041');
INSERT INTO Review VALUES(34, 12, 'Family House','Ecobubble Washing Machine', 5, 213, '2018-08-22 15:19:36.651');
INSERT INTO Review VALUES(34, 12, 'Phone Buy', 'iPhone X', 5, 214, '2018-08-31 20:08:53.737');
INSERT INTO Review VALUES(34, 12, 'Phone Buy', 'iPhone XS', 5, 215, '2018-08-17 21:21:06.190');
--order_id = 35, user_id = 12 with created_at date of 2018-8-13
INSERT INTO Review VALUES(35, 12, 'Family House','Quickdrive Washing Machine', 5, 216, '2018-08-23 05:16:15.694');
INSERT INTO Review VALUES(35, 12, 'Family House','Ecobubble Washing Machine', 5, 217, '2018-08-14 00:52:56.947');
INSERT INTO Review VALUES(35, 12, 'Phone Buy', 'iPhone X', 5, 218, '2018-08-15 08:36:16.279');
INSERT INTO Review VALUES(35, 12, 'Phone Buy', 'iPhone XS', 5, 219, '2018-08-23 02:31:37.301');
INSERT INTO Review VALUES(35, 12, 'Phone Buy', 'iPhone XR', 5, 220, '2018-08-22 04:52:37.904');
--order_id = 36, user_id = 12 with created_at date of 2018-8-14
INSERT INTO Review VALUES(36, 12, 'Nubox', 'iPhone X', 1, 221, '2018-08-29 00:00:07.086');
INSERT INTO Review VALUES(36, 12, 'Nubox', 'iPhone XS', 5, 222, '2018-08-20 22:55:23.567');
INSERT INTO Review VALUES(36, 12, 'Nubox', 'Galaxy S9', 4, 223, '2018-08-16 19:59:50.570');
INSERT INTO Review VALUES(36, 12, 'Nubox', 'Galaxy S7', 5, 224, '2018-08-21 19:29:54.954');
INSERT INTO Review VALUES(36, 12, 'Nubox', 'Galaxy S6', 5, 225, '2018-08-29 10:50:53.553');
--order_id = 37, user_id = 12 with created_at date of 2018-8-15
INSERT INTO Review VALUES(37, 12, 'iStudio', 'iPhone XS', 5, 226, '2018-08-22 17:56:45.032');
INSERT INTO Review VALUES(37, 12, 'iStudio', 'iPhone XR', 5, 227, '2018-08-17 12:03:59.958');
INSERT INTO Review VALUES(37, 12, 'Royal Sporting House', 'Ultraboost Shoes', 5, 228, '2018-08-30 07:05:52.592');
INSERT INTO Review VALUES(37, 12, 'Royal Sporting House', 'KAVAL Hoodie', 1, 229, '2018-08-22 04:28:17.175');
INSERT INTO Review VALUES(37, 12, 'Royal Sporting House', 'KAVAL Cap', 4, 230, '2018-08-26 11:48:51.943');
--order_id = 38, user_id = 12 with created_at date of 2018-8-12
INSERT INTO Review VALUES(38, 12, 'Phone Buy', 'iPhone X', 5, 231, '2018-08-15 00:53:51.416');
INSERT INTO Review VALUES(38, 12, 'Phone Buy', 'iPhone XS', 5, 232, '2018-08-26 23:20:33.359');
INSERT INTO Review VALUES(38, 12, 'Phone Buy', 'iPhone XR', 5, 233, '2018-08-31 16:23:09.912');
INSERT INTO Review VALUES(38, 12, 'iChallenger', 'iPhone X', 5, 234, '2018-08-28 09:51:24.316');
INSERT INTO Review VALUES(38, 12, 'iChallenger', 'iPhone XS', 5, 235, '2018-08-27 17:34:24.414');
--order_id = 39, user_id = 12 with created_at date of 2018-8-13
INSERT INTO Review VALUES(39, 12, 'Royal Sporting House', 'KAVAL Hoodie', 5, 236, '2018-08-14 19:01:49.343');
INSERT INTO Review VALUES(39, 12, 'Royal Sporting House', 'KAVAL Cap', 5, 237, '2018-08-30 09:55:41.651');
INSERT INTO Review VALUES(39, 12, 'Adidas', 'Ultraboost Shoes', 5, 238, '2018-08-27 09:21:07.423');
INSERT INTO Review VALUES(39, 12, 'Adidas', 'Pureboost RBL Shoes', 2, 239, '2018-08-22 08:26:42.635');
INSERT INTO Review VALUES(39, 12, 'Family House','Quickdrive Washing Machine', 5, 240, '2018-08-27 10:57:23.806');
--order_id = 40, user_id = 12 with created_at date of 2018-8-14
INSERT INTO Review VALUES(40, 12, 'iStudio', 'iPhone XR', 5, 241, '2018-08-31 04:39:27.631');
INSERT INTO Review VALUES(40, 12, 'Royal Sporting House', 'Ultraboost Shoes', 5, 242, '2018-08-22 10:03:35.163');
INSERT INTO Review VALUES(40, 12, 'Royal Sporting House', 'KAVAL Hoodie', 5, 243, '2018-08-19 21:48:43.945');
INSERT INTO Review VALUES(40, 12, 'Royal Sporting House', 'KAVAL Cap', 2, 244, '2018-08-23 05:34:18.178');
INSERT INTO Review VALUES(40, 12, 'Adidas', 'Ultraboost Shoes', 5, 245, '2018-08-15 04:39:31.711');
--order_id = 41, user_id = 12 with created_at date of 2018-8-15
INSERT INTO Review VALUES(41, 12, 'Family House','Ecobubble Washing Machine', 5, 246, '2018-08-16 23:59:44.410');
INSERT INTO Review VALUES(41, 12, 'Phone Buy', 'iPhone X', 5, 247, '2018-08-28 23:12:40.361');
INSERT INTO Review VALUES(41, 12, 'Phone Buy', 'iPhone XS', 1, 248, '2018-08-20 01:58:27.225');
INSERT INTO Review VALUES(41, 12, 'Phone Buy', 'iPhone XR', 5, 249, '2018-08-20 21:03:18.304');
INSERT INTO Review VALUES(41, 12, 'iChallenger', 'iPhone X', 5, 250, '2018-08-16 17:26:57.541');
--order_id = 42, user_id = 13 with created_at date of 2018-8-11
INSERT INTO Review VALUES(42, 13, 'Adidas', 'Ultraboost Shoes', 5, 251, '2018-08-12 20:04:58.443');
INSERT INTO Review VALUES(42, 13, 'Adidas', 'Pureboost RBL Shoes', 1, 252, '2018-08-12 00:21:39.025');
INSERT INTO Review VALUES(42, 13, 'Family House','Quickdrive Washing Machine', 5, 253, '2018-08-26 09:36:24.381');
INSERT INTO Review VALUES(42, 13, 'Family House','Ecobubble Washing Machine', 2, 254, '2018-08-27 01:43:18.821');
INSERT INTO Review VALUES(42, 13, 'Phone Buy', 'iPhone X', 5, 255, '2018-08-16 11:37:30.673');
--order_id = 43, user_id = 13 with created_at date of 2018-8-12
INSERT INTO Review VALUES(43, 13, 'Nubox', 'iPhone XS', 5, 256, '2018-08-31 22:38:22.351');
INSERT INTO Review VALUES(43, 13, 'Nubox', 'Galaxy S9', 5, 257, '2018-08-27 16:59:39.519');
INSERT INTO Review VALUES(43, 13, 'Nubox', 'Galaxy S7', 5, 258, '2018-08-24 06:12:39.458');
INSERT INTO Review VALUES(43, 13, 'Nubox', 'Galaxy S6', 5, 259, '2018-08-17 15:44:33.268');
INSERT INTO Review VALUES(43, 13, 'iStudio', 'iPhone X', 3, 260, '2018-08-21 23:18:00.415');
--order_id = 44, user_id = 13 with created_at date of 2018-8-13
INSERT INTO Review VALUES(44, 13, 'iStudio', 'iPhone XR', 1, 261, '2018-08-21 16:01:26.332');
INSERT INTO Review VALUES(44, 13, 'Royal Sporting House', 'Ultraboost Shoes', 5, 262, '2018-08-19 09:53:59.587');
INSERT INTO Review VALUES(44, 13, 'Royal Sporting House', 'KAVAL Hoodie', 5, 263, '2018-08-22 20:09:28.767');
INSERT INTO Review VALUES(44, 13, 'Royal Sporting House', 'KAVAL Cap', 1, 264, '2018-08-26 07:19:35.656');
INSERT INTO Review VALUES(44, 13, 'Adidas', 'Ultraboost Shoes', 5, 265, '2018-08-29 14:28:32.380');
--order_id = 45, user_id = 13 with created_at date of 2018-8-14
INSERT INTO Review VALUES(45, 13, 'Family House','Ecobubble Washing Machine', 2, 266, '2018-08-24 14:34:22.281');
INSERT INTO Review VALUES(45, 13, 'Phone Buy', 'iPhone X', 5, 267, '2018-08-26 09:46:34.958');
INSERT INTO Review VALUES(45, 13, 'Phone Buy', 'iPhone XS', 5, 268, '2018-08-15 19:35:24.135');
INSERT INTO Review VALUES(45, 13, 'Phone Buy', 'iPhone XR', 5, 269, '2018-08-17 00:53:50.419');
INSERT INTO Review VALUES(45, 13, 'iChallenger', 'iPhone X', 5, 270, '2018-08-23 11:23:41.695');
--order_id = 46, user_id = 14 with created_at date of 2018-8-13
INSERT INTO Review VALUES(46, 14, 'Family House','Quickdrive Washing Machine', 5, 271, '2018-08-30 22:49:50.554');
INSERT INTO Review VALUES(46, 14, 'Family House','Ecobubble Washing Machine', 5, 272, '2018-08-15 08:29:51.443');
INSERT INTO Review VALUES(46, 14, 'Phone Buy', 'iPhone X', 5, 273, '2018-08-18 22:30:42.866');
INSERT INTO Review VALUES(46, 14, 'Phone Buy', 'iPhone XS', 2, 274, '2018-08-27 10:47:08.048');
INSERT INTO Review VALUES(46, 14, 'Phone Buy', 'iPhone XR', 3, 275, '2018-08-26 16:58:11.174');
--order_id = 47, user_id = 14 with created_at date of 2018-8-14
INSERT INTO Review VALUES(47, 14, 'Adidas', 'Pureboost RBL Shoes', 5, 276, '2018-08-24 14:10:14.329');
INSERT INTO Review VALUES(47, 14, 'Family House','Quickdrive Washing Machine', 5, 277, '2018-08-27 03:06:58.783');
INSERT INTO Review VALUES(47, 14, 'Family House','Ecobubble Washing Machine', 5, 278, '2018-08-16 17:39:44.423');
INSERT INTO Review VALUES(47, 14, 'Phone Buy', 'iPhone X', 3, 279, '2018-08-29 02:43:55.513');
INSERT INTO Review VALUES(47, 14, 'Phone Buy', 'iPhone XS', 1, 280, '2018-08-21 22:46:12.224');
--order_id = 48, user_id = 14 with created_at date of 2018-8-15
INSERT INTO Review VALUES(48, 14, 'iStudio', 'iPhone XS', 5, 281, '2018-08-21 23:25:41.161');
INSERT INTO Review VALUES(48, 14, 'iStudio', 'iPhone XR', 5, 282, '2018-08-26 11:08:39.307');
INSERT INTO Review VALUES(48, 14, 'Royal Sporting House', 'Ultraboost Shoes', 3, 283, '2018-08-25 07:15:58.966');
INSERT INTO Review VALUES(48, 14, 'Royal Sporting House', 'KAVAL Hoodie', 3, 284, '2018-08-30 14:14:04.383');
INSERT INTO Review VALUES(48, 14, 'Royal Sporting House', 'KAVAL Cap', 5, 285, '2018-08-23 01:47:02.185');
--order_id = 49, user_id = 14 with created_at date of 2018-8-16
INSERT INTO Review VALUES(49, 14, 'Nubox', 'Galaxy S9', 5, 286, '2018-08-28 02:18:37.871');
INSERT INTO Review VALUES(49, 14, 'Nubox', 'Galaxy S7', 1, 287, '2018-08-26 18:33:20.137');
INSERT INTO Review VALUES(49, 14, 'Nubox', 'Galaxy S6', 5, 288, '2018-08-30 17:25:51.627');
INSERT INTO Review VALUES(49, 14, 'iStudio', 'iPhone X', 5, 289, '2018-08-17 03:14:41.183');
INSERT INTO Review VALUES(49, 14, 'iStudio', 'iPhone XS', 5, 290, '2018-08-27 14:43:59.460');
--order_id = 50, user_id = 15 with created_at date of 2018-8-14
INSERT INTO Review VALUES(50, 15, 'Nubox', 'Galaxy S6', 5, 291, '2018-08-17 18:39:48.638');
INSERT INTO Review VALUES(50, 15, 'iStudio', 'iPhone X', 5, 292, '2018-08-19 21:23:11.712');
INSERT INTO Review VALUES(50, 15, 'iStudio', 'iPhone XS', 2, 293, '2018-08-25 21:21:35.983');
INSERT INTO Review VALUES(50, 15, 'iStudio', 'iPhone XR', 5, 294, '2018-08-26 08:00:48.146');
INSERT INTO Review VALUES(50, 15, 'Royal Sporting House', 'Ultraboost Shoes', 1, 295, '2018-08-15 13:14:41.789');
--order_id = 51, user_id = 15 with created_at date of 2018-8-15
INSERT INTO Review VALUES(51, 15, 'Nubox', 'iPhone XS', 1, 296, '2018-08-24 04:03:45.661');
INSERT INTO Review VALUES(51, 15, 'Nubox', 'Galaxy S9', 5, 297, '2018-08-20 16:43:40.849');
INSERT INTO Review VALUES(51, 15, 'Nubox', 'Galaxy S7', 3, 298, '2018-08-25 10:29:55.573');
INSERT INTO Review VALUES(51, 15, 'Nubox', 'Galaxy S6', 1, 299, '2018-08-21 12:18:24.079');
INSERT INTO Review VALUES(51, 15, 'iStudio', 'iPhone X', 5, 300, '2018-08-18 19:37:26.722');
--order_id = 52, user_id = 15 with created_at date of 2018-8-16
INSERT INTO Review VALUES(52, 15, 'Nubox', 'Galaxy S7', 3, 301, '2018-08-31 05:29:22.08');
INSERT INTO Review VALUES(52, 15, 'Nubox', 'Galaxy S6', 1, 302, '2018-08-17 11:15:38.425');
INSERT INTO Review VALUES(52, 15, 'iStudio', 'iPhone X', 5, 303, '2018-08-31 23:51:36.580');
INSERT INTO Review VALUES(52, 15, 'iStudio', 'iPhone XS', 5, 304, '2018-08-23 07:01:15.563');
INSERT INTO Review VALUES(52, 15, 'iStudio', 'iPhone XR', 5, 305, '2018-08-19 00:37:04.265');
--order_id = 53, user_id = 15 with created_at date of 2018-8-17
INSERT INTO Review VALUES(53, 15, 'Family House','Ecobubble Washing Machine', 3, 306, '2018-08-23 03:33:07.516');
INSERT INTO Review VALUES(53, 15, 'Phone Buy', 'iPhone X', 5, 307, '2018-08-22 18:20:31.333');
INSERT INTO Review VALUES(53, 15, 'Phone Buy', 'iPhone XS', 5, 308, '2018-08-29 11:07:04.924');
INSERT INTO Review VALUES(53, 15, 'Phone Buy', 'iPhone XR', 5, 309, '2018-08-21 20:01:24.982');
INSERT INTO Review VALUES(53, 15, 'iChallenger', 'iPhone X', 2, 310, '2018-08-30 05:27:49.249');
--order_id = 54, user_id = 16 with created_at date of 2018-8-15
INSERT INTO Review VALUES(54, 16, 'Royal Sporting House', 'KAVAL Cap', 5, 311, '2018-08-26 13:48:18.056');
INSERT INTO Review VALUES(54, 16, 'Adidas', 'Ultraboost Shoes', 4, 312, '2018-08-27 08:29:52.712');
INSERT INTO Review VALUES(54, 16, 'Adidas', 'Pureboost RBL Shoes', 1, 313, '2018-08-18 19:21:38.026');
INSERT INTO Review VALUES(54, 16, 'Family House','Quickdrive Washing Machine', 5, 314, '2018-08-30 22:24:26.687');
INSERT INTO Review VALUES(54, 16, 'Family House','Ecobubble Washing Machine', 5, 315, '2018-08-20 20:29:50.887');
--order_id = 55, user_id = 16 with created_at date of 2018-8-16
INSERT INTO Review VALUES(55, 16, 'Family House','Ecobubble Washing Machine', 5, 316, '2018-08-23 12:03:23.558');
INSERT INTO Review VALUES(55, 16, 'Phone Buy', 'iPhone X', 5, 317, '2018-08-25 18:12:36.355');
INSERT INTO Review VALUES(55, 16, 'Phone Buy', 'iPhone XS', 5, 318, '2018-08-30 07:55:38.023');
INSERT INTO Review VALUES(55, 16, 'Phone Buy', 'iPhone XR', 5, 319, '2018-08-17 15:31:18.156');
INSERT INTO Review VALUES(55, 16, 'iChallenger', 'iPhone X', 1, 320, '2018-08-31 06:26:52.572');
--order_id = 56, user_id = 16 with created_at date of 2018-8-17
INSERT INTO Review VALUES(56, 16, 'iStudio', 'iPhone XR', 1, 321, '2018-08-28 00:56:56.959');
INSERT INTO Review VALUES(56, 16, 'Royal Sporting House', 'Ultraboost Shoes', 5, 322, '2018-08-25 07:48:52.406');
INSERT INTO Review VALUES(56, 16, 'Royal Sporting House', 'KAVAL Hoodie', 3, 323, '2018-08-23 05:10:50.377');
INSERT INTO Review VALUES(56, 16, 'Royal Sporting House', 'KAVAL Cap', 1, 324, '2018-08-25 01:06:55.312');
INSERT INTO Review VALUES(56, 16, 'Adidas', 'Ultraboost Shoes', 4, 325, '2018-08-24 20:03:48.526');
--order_id = 57, user_id = 16 with created_at date of 2018-8-18
INSERT INTO Review VALUES(57, 16, 'Adidas', 'Pureboost RBL Shoes', 5, 326, '2018-08-31 03:43:37.355');
INSERT INTO Review VALUES(57, 16, 'Family House','Quickdrive Washing Machine', 5, 327, '2018-08-22 18:29:09.442');
INSERT INTO Review VALUES(57, 16, 'Family House','Ecobubble Washing Machine', 5, 328, '2018-08-29 12:53:58.148');
INSERT INTO Review VALUES(57, 16, 'Phone Buy', 'iPhone X', 5, 329, '2018-08-26 10:45:16.655');
INSERT INTO Review VALUES(57, 16, 'Phone Buy', 'iPhone XS', 5, 330, '2018-08-28 14:26:06.045');
--order_id = 58, user_id = 17 with created_at date of 2018-8-16
INSERT INTO Review VALUES(58, 17, 'iStudio', 'iPhone XR', 2, 331, '2018-08-17 08:27:24.282');
INSERT INTO Review VALUES(58, 17, 'Royal Sporting House', 'Ultraboost Shoes', 5, 332, '2018-08-23 21:57:32.461');
INSERT INTO Review VALUES(58, 17, 'Royal Sporting House', 'KAVAL Hoodie', 5, 333, '2018-08-22 04:42:02.122');
INSERT INTO Review VALUES(58, 17, 'Royal Sporting House', 'KAVAL Cap', 5, 334, '2018-08-23 03:25:26.685');
INSERT INTO Review VALUES(58, 17, 'Adidas', 'Ultraboost Shoes', 5, 335, '2018-08-28 05:15:32.635');
--order_id = 59, user_id = 17 with created_at date of 2018-8-17
INSERT INTO Review VALUES(59, 17, 'Adidas', 'Ultraboost Shoes', 5, 336, '2018-08-21 10:04:32.381');
INSERT INTO Review VALUES(59, 17, 'Adidas', 'Pureboost RBL Shoes', 5, 337, '2018-08-23 12:51:31.482');
INSERT INTO Review VALUES(59, 17, 'Family House','Quickdrive Washing Machine', 1, 338, '2018-08-23 21:20:54.898');
INSERT INTO Review VALUES(59, 17, 'Family House','Ecobubble Washing Machine', 5, 339, '2018-08-23 12:22:52.987');
INSERT INTO Review VALUES(59, 17, 'Phone Buy', 'iPhone X', 5, 340, '2018-08-28 02:02:34.391');
--order_id = 60, user_id = 17 with created_at date of 2018-8-18
INSERT INTO Review VALUES(60, 17, 'Family House','Ecobubble Washing Machine', 2, 341, '2018-08-19 15:56:21.123');
INSERT INTO Review VALUES(60, 17, 'Phone Buy', 'iPhone X', 5, 342, '2018-08-27 03:27:35.687');
INSERT INTO Review VALUES(60, 17, 'Phone Buy', 'iPhone XS', 5, 343, '2018-08-19 18:33:10.191');
INSERT INTO Review VALUES(60, 17, 'Phone Buy', 'iPhone XR', 1, 344, '2018-08-20 07:03:17.256');
INSERT INTO Review VALUES(60, 17, 'iChallenger', 'iPhone X', 5, 345, '2018-08-22 08:34:03.395');
--order_id = 61, user_id = 17 with created_at date of 2018-8-19
INSERT INTO Review VALUES(61, 17, 'Phone Buy', 'iPhone X', 1, 346, '2018-08-20 22:45:57.404');
INSERT INTO Review VALUES(61, 17, 'Phone Buy', 'iPhone XS', 2, 347, '2018-08-20 10:15:51.086');
INSERT INTO Review VALUES(61, 17, 'Phone Buy', 'iPhone XR', 1, 348, '2018-08-25 00:38:50.898');
INSERT INTO Review VALUES(61, 17, 'iChallenger', 'iPhone X', 5, 349, '2018-08-28 02:51:09.218');
INSERT INTO Review VALUES(61, 17, 'iChallenger', 'iPhone XS', 1, 350, '2018-08-22 20:27:24.250');
--order_id = 62, user_id = 18 with created_at date of 2018-8-19
INSERT INTO Review VALUES(62, 18, 'Royal Sporting House', 'Ultraboost Shoes', 1, 351, '2018-08-20 15:52:56.803');
INSERT INTO Review VALUES(62, 18, 'Royal Sporting House', 'KAVAL Hoodie', 5, 352, '2018-08-24 22:56:43.326');
INSERT INTO Review VALUES(62, 18, 'Royal Sporting House', 'KAVAL Cap', 5, 353, '2018-08-23 07:33:00.913');
INSERT INTO Review VALUES(62, 18, 'Adidas', 'Ultraboost Shoes', 5, 354, '2018-08-31 16:10:30.283');
INSERT INTO Review VALUES(62, 18, 'Adidas', 'Pureboost RBL Shoes', 5, 355, '2018-08-28 12:29:15.843');
--order_id = 63, user_id = 18 with created_at date of 2018-8-20
INSERT INTO Review VALUES(63, 18, 'Royal Sporting House', 'Ultraboost Shoes', 5, 356, '2018-08-29 09:43:58.491');
INSERT INTO Review VALUES(63, 18, 'Royal Sporting House', 'KAVAL Hoodie', 5, 357, '2018-08-21 13:52:59.765');
INSERT INTO Review VALUES(63, 18, 'Royal Sporting House', 'KAVAL Cap', 5, 358, '2018-08-22 06:59:22.176');
INSERT INTO Review VALUES(63, 18, 'Adidas', 'Ultraboost Shoes', 5, 359, '2018-08-25 06:55:56.829');
INSERT INTO Review VALUES(63, 18, 'Adidas', 'Pureboost RBL Shoes', 1, 360, '2018-08-21 03:11:32.234');
--order_id = 64, user_id = 18 with created_at date of 2018-8-21
INSERT INTO Review VALUES(64, 18, 'Nubox', 'Galaxy S6', 5, 361, '2018-08-29 05:53:34.186');
INSERT INTO Review VALUES(64, 18, 'iStudio', 'iPhone X', 5, 362, '2018-08-22 13:01:07.649');
INSERT INTO Review VALUES(64, 18, 'iStudio', 'iPhone XS', 5, 363, '2018-08-28 07:31:36.822');
INSERT INTO Review VALUES(64, 18, 'iStudio', 'iPhone XR', 4, 364, '2018-08-31 07:22:49.506');
INSERT INTO Review VALUES(64, 18, 'Royal Sporting House', 'Ultraboost Shoes', 5, 365, '2018-08-23 03:37:33.365');
--order_id = 65, user_id = 18 with created_at date of 2018-8-22
INSERT INTO Review VALUES(65, 18, 'iStudio', 'iPhone XR', 5, 366, '2018-08-24 00:31:57.022');
INSERT INTO Review VALUES(65, 18, 'Royal Sporting House', 'Ultraboost Shoes', 1, 367, '2018-08-23 16:18:42.961');
INSERT INTO Review VALUES(65, 18, 'Royal Sporting House', 'KAVAL Hoodie', 5, 368, '2018-08-31 04:41:11.826');
INSERT INTO Review VALUES(65, 18, 'Royal Sporting House', 'KAVAL Cap', 5, 369, '2018-08-23 21:50:37.282');
INSERT INTO Review VALUES(65, 18, 'Adidas', 'Ultraboost Shoes', 5, 370, '2018-08-23 15:35:40.879');
--order_id = 66, user_id = 19 with created_at date of 2018-8-20
INSERT INTO Review VALUES(66, 19, 'Nubox', 'Galaxy S6', 5, 371, '2018-08-24 08:48:26.638');
INSERT INTO Review VALUES(66, 19, 'iStudio', 'iPhone X', 5, 372, '2018-08-27 23:36:43.908');
INSERT INTO Review VALUES(66, 19, 'iStudio', 'iPhone XS', 5, 373, '2018-08-29 04:24:10.919');
INSERT INTO Review VALUES(66, 19, 'iStudio', 'iPhone XR', 5, 374, '2018-08-26 04:04:14.455');
INSERT INTO Review VALUES(66, 19, 'Royal Sporting House', 'Ultraboost Shoes', 5, 375, '2018-08-27 09:47:32.530');
--order_id = 67, user_id = 19 with created_at date of 2018-8-21
INSERT INTO Review VALUES(67, 19, 'Royal Sporting House', 'KAVAL Cap', 5, 376, '2018-08-23 08:19:30.875');
INSERT INTO Review VALUES(67, 19, 'Adidas', 'Ultraboost Shoes', 5, 377, '2018-08-27 23:04:25.178');
INSERT INTO Review VALUES(67, 19, 'Adidas', 'Pureboost RBL Shoes', 1, 378, '2018-08-28 22:08:21.974');
INSERT INTO Review VALUES(67, 19, 'Family House','Quickdrive Washing Machine', 5, 379, '2018-08-22 05:40:46.642');
INSERT INTO Review VALUES(67, 19, 'Family House','Ecobubble Washing Machine', 4, 380, '2018-08-30 07:44:05.227');
--order_id = 68, user_id = 19 with created_at date of 2018-8-22
INSERT INTO Review VALUES(68, 19, 'iStudio', 'iPhone X', 3, 381, '2018-08-29 12:25:47.132');
INSERT INTO Review VALUES(68, 19, 'iStudio', 'iPhone XS', 2, 382, '2018-08-25 04:00:48.603');
INSERT INTO Review VALUES(68, 19, 'iStudio', 'iPhone XR', 1, 383, '2018-08-29 18:25:43.319');
INSERT INTO Review VALUES(68, 19, 'Royal Sporting House', 'Ultraboost Shoes', 2, 384, '2018-08-28 13:56:25.409');
INSERT INTO Review VALUES(68, 19, 'Royal Sporting House', 'KAVAL Hoodie', 1, 385, '2018-08-31 19:09:41.334');
--order_id = 69, user_id = 19 with created_at date of 2018-8-23
INSERT INTO Review VALUES(69, 19, 'Adidas', 'Ultraboost Shoes', 5, 386, '2018-08-26 12:19:13.876');
INSERT INTO Review VALUES(69, 19, 'Adidas', 'Pureboost RBL Shoes', 5, 387, '2018-08-25 12:11:04.577');
INSERT INTO Review VALUES(69, 19, 'Family House','Quickdrive Washing Machine', 2, 388, '2018-08-31 16:52:13.649');
INSERT INTO Review VALUES(69, 19, 'Family House','Ecobubble Washing Machine', 5, 389, '2018-08-30 10:19:39.628');
INSERT INTO Review VALUES(69, 19, 'Phone Buy', 'iPhone X', 5, 390, '2018-08-30 15:17:28.120');
--30/10/18 Update
--order_id = 70, user_id = 1 with created_at date of 2018-8-13
INSERT INTO Review VALUES(70, 1, 'Phone Buy', 'iPhone X', 5, 411, '2018-08-16 16:39:45.766');
INSERT INTO Review VALUES(70, 1, 'Phone Buy', 'iPhone XS', 1, 412, '2018-08-27 12:21:16.957');
INSERT INTO Review VALUES(70, 1, 'Phone Buy', 'iPhone XR', 5, 413, '2018-08-20 13:12:11.903');
INSERT INTO Review VALUES(70, 1, 'iChallenger', 'iPhone X', 5, 414, '2018-08-14 18:13:52.122');
INSERT INTO Review VALUES(70, 1, 'iChallenger', 'iPhone XS', 5, 415, '2018-08-25 00:22:41.978');
--order_id = 71, user_id = 1 with created_at date of 2018-8-14
INSERT INTO Review VALUES(71, 1, 'iStudio', 'iPhone XS', 5, 416, '2018-08-20 01:46:58.749');
INSERT INTO Review VALUES(71, 1, 'iStudio', 'iPhone XR', 5, 417, '2018-08-16 22:40:30.389');
INSERT INTO Review VALUES(71, 1, 'Phone Buy', 'iPhone X', 5, 418, '2018-08-15 11:30:36.577');
INSERT INTO Review VALUES(71, 1, 'Phone Buy', 'iPhone XS', 2, 419, '2018-08-20 04:52:15.608');
INSERT INTO Review VALUES(71, 1, 'Phone Buy', 'iPhone XR', 5, 420, '2018-08-31 08:30:20.916');
--order_id = 72, user_id = 1 with created_at date of 2018-8-15
INSERT INTO Review VALUES(72, 1, 'iStudio', 'iPhone X', 1, 421, '2018-08-24 10:25:55.650');
INSERT INTO Review VALUES(72, 1, 'iStudio', 'iPhone XS', 5, 422, '2018-08-30 08:49:26.813');
INSERT INTO Review VALUES(72, 1, 'iStudio', 'iPhone XR', 5, 423, '2018-08-18 22:08:10.017');
INSERT INTO Review VALUES(72, 1, 'Phone Buy', 'iPhone X', 5, 424, '2018-08-16 13:39:47.754');
INSERT INTO Review VALUES(72, 1, 'Phone Buy', 'iPhone XS', 5, 425, '2018-08-27 18:13:49.272');
--order_id = 73, user_id = 1 with created_at date of 2018-8-16
INSERT INTO Review VALUES(73, 1, 'Phone Buy', 'iPhone X', 1, 426, '2018-08-22 19:33:53.896');
INSERT INTO Review VALUES(73, 1, 'Phone Buy', 'iPhone XS', 5, 427, '2018-08-22 19:56:29.454');
INSERT INTO Review VALUES(73, 1, 'Phone Buy', 'iPhone XR', 5, 428, '2018-08-18 20:04:05.570');
INSERT INTO Review VALUES(73, 1, 'iChallenger', 'iPhone X', 5, 429, '2018-08-21 18:51:40.416');
INSERT INTO Review VALUES(73, 1, 'iChallenger', 'iPhone XS', 5, 430, '2018-08-27 02:27:00.763');
--order_id = 74, user_id = 1 with created_at date of 2018-8-17
INSERT INTO Review VALUES(74, 1, 'iStudio', 'iPhone XS', 5, 431, '2018-08-28 14:10:09.510');
INSERT INTO Review VALUES(74, 1, 'iStudio', 'iPhone XR', 5, 432, '2018-08-31 05:52:07.542');
INSERT INTO Review VALUES(74, 1, 'Phone Buy', 'iPhone X', 5, 433, '2018-08-19 07:53:28.072');
INSERT INTO Review VALUES(74, 1, 'Phone Buy', 'iPhone XS', 5, 434, '2018-08-18 06:33:14.775');
INSERT INTO Review VALUES(74, 1, 'Phone Buy', 'iPhone XR', 5, 435, '2018-08-28 10:46:35.339');
--order_id = 75, user_id = 1 with created_at date of 2018-8-18
INSERT INTO Review VALUES(75, 1, 'iStudio', 'iPhone X', 5, 436, '2018-08-31 12:53:07.551');
INSERT INTO Review VALUES(75, 1, 'iStudio', 'iPhone XS', 5, 437, '2018-08-24 14:36:53.476');
INSERT INTO Review VALUES(75, 1, 'iStudio', 'iPhone XR', 5, 438, '2018-08-25 07:48:46.552');
INSERT INTO Review VALUES(75, 1, 'Phone Buy', 'iPhone X', 2, 439, '2018-08-23 10:08:56.834');
INSERT INTO Review VALUES(75, 1, 'Phone Buy', 'iPhone XS', 5, 440, '2018-08-20 13:25:38.653');
--order_id = 76, user_id = 1 with created_at date of 2018-8-19
INSERT INTO Review VALUES(76, 1, 'iStudio', 'iPhone XS', 5, 441, '2018-08-28 07:31:47.788');
INSERT INTO Review VALUES(76, 1, 'iStudio', 'iPhone XR', 5, 442, '2018-08-31 17:10:29.821');
INSERT INTO Review VALUES(76, 1, 'Phone Buy', 'iPhone X', 5, 443, '2018-08-20 07:18:33.047');
INSERT INTO Review VALUES(76, 1, 'Phone Buy', 'iPhone XS', 5, 444, '2018-08-29 14:14:15.691');
INSERT INTO Review VALUES(76, 1, 'Phone Buy', 'iPhone XR', 1, 445, '2018-08-30 00:08:35.446');
--order_id = 77, user_id = 1 with created_at date of 2018-8-20
INSERT INTO Review VALUES(77, 1, 'iStudio', 'iPhone X', 5, 446, '2018-08-28 06:00:21.643');
INSERT INTO Review VALUES(77, 1, 'iStudio', 'iPhone XS', 1, 447, '2018-08-29 11:00:26.157');
INSERT INTO Review VALUES(77, 1, 'iStudio', 'iPhone XR', 1, 448, '2018-08-21 08:25:18.405');
INSERT INTO Review VALUES(77, 1, 'Phone Buy', 'iPhone X', 5, 449, '2018-08-22 05:16:26.986');
INSERT INTO Review VALUES(77, 1, 'Phone Buy', 'iPhone XS', 5, 450, '2018-08-21 22:23:03.317');
--order_id = 78, user_id = 1 with created_at date of 2018-8-21
INSERT INTO Review VALUES(78, 1, 'iStudio', 'iPhone X', 5, 451, '2018-08-26 07:16:08.166');
INSERT INTO Review VALUES(78, 1, 'iStudio', 'iPhone XS', 5, 452, '2018-08-25 10:43:31.589');
INSERT INTO Review VALUES(78, 1, 'iStudio', 'iPhone XR', 5, 453, '2018-08-31 16:55:43.202');
INSERT INTO Review VALUES(78, 1, 'Phone Buy', 'iPhone X', 5, 454, '2018-08-28 16:52:22.07');
INSERT INTO Review VALUES(78, 1, 'Phone Buy', 'iPhone XS', 5, 455, '2018-08-27 08:18:32.882');
--order_id = 79, user_id = 1 with created_at date of 2018-8-22
INSERT INTO Review VALUES(79, 1, 'Phone Buy', 'iPhone X', 5, 456, '2018-08-23 08:36:53.079');
INSERT INTO Review VALUES(79, 1, 'Phone Buy', 'iPhone XS', 5, 457, '2018-08-29 10:14:58.648');
INSERT INTO Review VALUES(79, 1, 'Phone Buy', 'iPhone XR', 3, 458, '2018-08-31 15:08:13.780');
INSERT INTO Review VALUES(79, 1, 'iChallenger', 'iPhone X', 1, 459, '2018-08-24 10:33:47.787');
INSERT INTO Review VALUES(79, 1, 'iChallenger', 'iPhone XS', 5, 460, '2018-08-28 06:36:52.652');
--order_id = 80, user_id = 2 with created_at date of 2018-8-10
INSERT INTO Review VALUES(80, 2, 'Nubox', 'iPhone XS', 5, 461, '2018-08-19 16:03:06.166');
INSERT INTO Review VALUES(80, 2, 'iStudio', 'iPhone X', 5, 462, '2018-08-15 11:29:17.623');
INSERT INTO Review VALUES(80, 2, 'iStudio', 'iPhone XS', 5, 463, '2018-08-27 05:14:42.539');
INSERT INTO Review VALUES(80, 2, 'iStudio', 'iPhone XR', 5, 464, '2018-08-19 06:00:45.391');
INSERT INTO Review VALUES(80, 2, 'Phone Buy', 'iPhone X', 5, 465, '2018-08-17 23:51:41.077');
--order_id = 81, user_id = 2 with created_at date of 2018-8-11
INSERT INTO Review VALUES(81, 2, 'iStudio', 'iPhone XS', 5, 466, '2018-08-30 05:39:12.920');
INSERT INTO Review VALUES(81, 2, 'iStudio', 'iPhone XR', 5, 467, '2018-08-27 07:40:28.219');
INSERT INTO Review VALUES(81, 2, 'Phone Buy', 'iPhone X', 1, 468, '2018-08-21 22:43:18.561');
INSERT INTO Review VALUES(81, 2, 'Phone Buy', 'iPhone XS', 5, 469, '2018-08-16 08:52:20.381');
INSERT INTO Review VALUES(81, 2, 'Phone Buy', 'iPhone XR', 5, 470, '2018-08-23 21:36:28.423');
--order_id = 82, user_id = 2 with created_at date of 2018-8-12
INSERT INTO Review VALUES(82, 2, 'iStudio', 'iPhone X', 5, 471, '2018-08-18 14:58:31.393');
INSERT INTO Review VALUES(82, 2, 'iStudio', 'iPhone XS', 3, 472, '2018-08-15 21:31:00.258');
INSERT INTO Review VALUES(82, 2, 'iStudio', 'iPhone XR', 5, 473, '2018-08-29 09:09:13.367');
INSERT INTO Review VALUES(82, 2, 'Phone Buy', 'iPhone X', 5, 474, '2018-08-25 03:45:09.891');
INSERT INTO Review VALUES(82, 2, 'Phone Buy', 'iPhone XS', 5, 475, '2018-08-29 00:01:38.411');
--order_id = 83, user_id = 2 with created_at date of 2018-8-13
INSERT INTO Review VALUES(83, 2, 'Nubox', 'iPhone XS', 5, 476, '2018-08-19 11:47:28.478');
INSERT INTO Review VALUES(83, 2, 'iStudio', 'iPhone X', 5, 477, '2018-08-31 10:16:46.786');
INSERT INTO Review VALUES(83, 2, 'iStudio', 'iPhone XS', 5, 478, '2018-08-14 00:13:51.133');
INSERT INTO Review VALUES(83, 2, 'iStudio', 'iPhone XR', 5, 479, '2018-08-21 10:28:13.506');
INSERT INTO Review VALUES(83, 2, 'Phone Buy', 'iPhone X', 5, 480, '2018-08-14 15:51:45.850');
--order_id = 84, user_id = 2 with created_at date of 2018-8-14
INSERT INTO Review VALUES(84, 2, 'Nubox', 'iPhone XS', 5, 481, '2018-08-22 13:31:53.282');
INSERT INTO Review VALUES(84, 2, 'iStudio', 'iPhone X', 5, 482, '2018-08-23 10:10:31.545');
INSERT INTO Review VALUES(84, 2, 'iStudio', 'iPhone XS', 5, 483, '2018-08-21 08:30:56.988');
INSERT INTO Review VALUES(84, 2, 'iStudio', 'iPhone XR', 1, 484, '2018-08-30 06:50:54.078');
INSERT INTO Review VALUES(84, 2, 'Phone Buy', 'iPhone X', 5, 485, '2018-08-29 04:38:23.244');
--order_id = 85, user_id = 2 with created_at date of 2018-8-15
INSERT INTO Review VALUES(85, 2, 'iStudio', 'iPhone XS', 5, 486, '2018-08-23 06:44:25.233');
INSERT INTO Review VALUES(85, 2, 'iStudio', 'iPhone XR', 5, 487, '2018-08-23 10:56:03.776');
INSERT INTO Review VALUES(85, 2, 'Phone Buy', 'iPhone X', 5, 488, '2018-08-16 08:01:45.643');
INSERT INTO Review VALUES(85, 2, 'Phone Buy', 'iPhone XS', 5, 489, '2018-08-30 01:34:20.093');
INSERT INTO Review VALUES(85, 2, 'Phone Buy', 'iPhone XR', 3, 490, '2018-08-20 19:04:52.335');
--order_id = 86, user_id = 2 with created_at date of 2018-8-16
INSERT INTO Review VALUES(86, 2, 'Phone Buy', 'iPhone X', 5, 491, '2018-08-18 05:39:46.375');
INSERT INTO Review VALUES(86, 2, 'Phone Buy', 'iPhone XS', 3, 492, '2018-08-27 08:55:53.289');
INSERT INTO Review VALUES(86, 2, 'Phone Buy', 'iPhone XR', 5, 493, '2018-08-17 02:14:16.457');
INSERT INTO Review VALUES(86, 2, 'iChallenger', 'iPhone X', 1, 494, '2018-08-23 03:49:22.558');
INSERT INTO Review VALUES(86, 2, 'iChallenger', 'iPhone XS', 5, 495, '2018-08-26 07:41:26.235');
--order_id = 87, user_id = 2 with created_at date of 2018-8-17
INSERT INTO Review VALUES(87, 2, 'Nubox', 'iPhone XS', 5, 496, '2018-08-18 18:48:26.882');
INSERT INTO Review VALUES(87, 2, 'iStudio', 'iPhone X', 5, 497, '2018-08-18 08:06:30.801');
INSERT INTO Review VALUES(87, 2, 'iStudio', 'iPhone XS', 5, 498, '2018-08-31 00:45:30.456');
INSERT INTO Review VALUES(87, 2, 'iStudio', 'iPhone XR', 5, 499, '2018-08-29 04:20:14.881');
INSERT INTO Review VALUES(87, 2, 'Phone Buy', 'iPhone X', 5, 500, '2018-08-19 17:00:21.602');
--order_id = 88, user_id = 2 with created_at date of 2018-8-18
INSERT INTO Review VALUES(88, 2, 'iStudio', 'iPhone XR', 4, 501, '2018-08-22 03:59:15.056');
INSERT INTO Review VALUES(88, 2, 'Phone Buy', 'iPhone X', 4, 502, '2018-08-29 16:11:15.421');
INSERT INTO Review VALUES(88, 2, 'Phone Buy', 'iPhone XS', 1, 503, '2018-08-22 01:40:46.957');
INSERT INTO Review VALUES(88, 2, 'Phone Buy', 'iPhone XR', 5, 504, '2018-08-24 18:02:46.982');
INSERT INTO Review VALUES(88, 2, 'iChallenger', 'iPhone X', 1, 505, '2018-08-22 03:41:39.918');
--order_id = 89, user_id = 2 with created_at date of 2018-8-19
INSERT INTO Review VALUES(89, 2, 'Nubox', 'iPhone X', 5, 506, '2018-08-28 06:20:45.825');
INSERT INTO Review VALUES(89, 2, 'Nubox', 'iPhone XS', 5, 507, '2018-08-27 05:56:00.336');
INSERT INTO Review VALUES(89, 2, 'iStudio', 'iPhone X', 5, 508, '2018-08-20 21:36:39.745');
INSERT INTO Review VALUES(89, 2, 'iStudio', 'iPhone XS', 5, 509, '2018-08-31 01:42:46.663');
INSERT INTO Review VALUES(89, 2, 'iStudio', 'iPhone XR', 5, 510, '2018-08-21 23:01:36.841');
--order_id = 90, user_id = 3 with created_at date of 2018-8-9
INSERT INTO Review VALUES(90, 3, 'iStudio', 'iPhone X', 5, 511, '2018-08-14 19:30:24.468');
INSERT INTO Review VALUES(90, 3, 'iStudio', 'iPhone XS', 5, 512, '2018-08-15 02:05:40.683');
INSERT INTO Review VALUES(90, 3, 'iStudio', 'iPhone XR', 2, 513, '2018-08-28 13:56:52.563');
INSERT INTO Review VALUES(90, 3, 'Phone Buy', 'iPhone X', 5, 514, '2018-08-28 12:17:28.408');
INSERT INTO Review VALUES(90, 3, 'Phone Buy', 'iPhone XS', 5, 515, '2018-08-22 00:49:37.489');
--order_id = 91, user_id = 3 with created_at date of 2018-8-10
INSERT INTO Review VALUES(91, 3, 'Nubox', 'iPhone XS', 5, 516, '2018-08-23 02:19:57.655');
INSERT INTO Review VALUES(91, 3, 'iStudio', 'iPhone X', 5, 517, '2018-08-15 22:52:02.183');
INSERT INTO Review VALUES(91, 3, 'iStudio', 'iPhone XS', 5, 518, '2018-08-21 08:38:40.363');
INSERT INTO Review VALUES(91, 3, 'iStudio', 'iPhone XR', 5, 519, '2018-08-13 14:26:07.235');
INSERT INTO Review VALUES(91, 3, 'Phone Buy', 'iPhone X', 5, 520, '2018-08-17 13:18:35.659');
--order_id = 92, user_id = 3 with created_at date of 2018-8-11
INSERT INTO Review VALUES(92, 3, 'iStudio', 'iPhone XS', 5, 521, '2018-08-12 08:28:58.956');
INSERT INTO Review VALUES(92, 3, 'iStudio', 'iPhone XR', 5, 522, '2018-08-30 02:38:50.741');
INSERT INTO Review VALUES(92, 3, 'Phone Buy', 'iPhone X', 1, 523, '2018-08-12 03:44:26.373');
INSERT INTO Review VALUES(92, 3, 'Phone Buy', 'iPhone XS', 5, 524, '2018-08-25 22:16:45.768');
INSERT INTO Review VALUES(92, 3, 'Phone Buy', 'iPhone XR', 5, 525, '2018-08-23 20:22:43.798');
--order_id = 93, user_id = 3 with created_at date of 2018-8-12
INSERT INTO Review VALUES(93, 3, 'Nubox', 'iPhone X', 5, 526, '2018-08-28 22:32:35.779');
INSERT INTO Review VALUES(93, 3, 'Nubox', 'iPhone XS', 5, 527, '2018-08-18 02:44:15.735');
INSERT INTO Review VALUES(93, 3, 'iStudio', 'iPhone X', 5, 528, '2018-08-15 02:19:42.882');
INSERT INTO Review VALUES(93, 3, 'iStudio', 'iPhone XS', 5, 529, '2018-08-29 05:03:18.292');
INSERT INTO Review VALUES(93, 3, 'iStudio', 'iPhone XR', 5, 530, '2018-08-22 00:20:35.937');
--order_id = 94, user_id = 3 with created_at date of 2018-8-13
INSERT INTO Review VALUES(94, 3, 'iStudio', 'iPhone XR', 4, 531, '2018-08-23 09:19:29.617');
INSERT INTO Review VALUES(94, 3, 'Phone Buy', 'iPhone X', 3, 532, '2018-08-17 10:52:08.395');
INSERT INTO Review VALUES(94, 3, 'Phone Buy', 'iPhone XS', 5, 533, '2018-08-29 09:44:47.896');
INSERT INTO Review VALUES(94, 3, 'Phone Buy', 'iPhone XR', 3, 534, '2018-08-16 22:45:50.370');
INSERT INTO Review VALUES(94, 3, 'iChallenger', 'iPhone X', 1, 535, '2018-08-22 18:18:51.289');
--order_id = 95, user_id = 3 with created_at date of 2018-8-14
INSERT INTO Review VALUES(95, 3, 'iStudio', 'iPhone X', 4, 536, '2018-08-19 13:33:08.248');
INSERT INTO Review VALUES(95, 3, 'iStudio', 'iPhone XS', 5, 537, '2018-08-22 14:30:02.893');
INSERT INTO Review VALUES(95, 3, 'iStudio', 'iPhone XR', 1, 538, '2018-08-24 20:55:10.081');
INSERT INTO Review VALUES(95, 3, 'Phone Buy', 'iPhone X', 5, 539, '2018-08-15 10:50:37.462');
INSERT INTO Review VALUES(95, 3, 'Phone Buy', 'iPhone XS', 5, 540, '2018-08-24 05:24:31.388');
--order_id = 96, user_id = 3 with created_at date of 2018-8-15
INSERT INTO Review VALUES(96, 3, 'iStudio', 'iPhone XR', 5, 541, '2018-08-30 21:00:46.390');
INSERT INTO Review VALUES(96, 3, 'Phone Buy', 'iPhone X', 5, 542, '2018-08-26 06:27:40.949');
INSERT INTO Review VALUES(96, 3, 'Phone Buy', 'iPhone XS', 5, 543, '2018-08-17 16:33:48.999');
INSERT INTO Review VALUES(96, 3, 'Phone Buy', 'iPhone XR', 4, 544, '2018-08-27 13:38:28.315');
INSERT INTO Review VALUES(96, 3, 'iChallenger', 'iPhone X', 5, 545, '2018-08-26 12:44:52.333');
--order_id = 97, user_id = 3 with created_at date of 2018-8-16
INSERT INTO Review VALUES(97, 3, 'iStudio', 'iPhone XR', 5, 546, '2018-08-22 15:12:18.556');
INSERT INTO Review VALUES(97, 3, 'Phone Buy', 'iPhone X', 5, 547, '2018-08-30 09:08:58.254');
INSERT INTO Review VALUES(97, 3, 'Phone Buy', 'iPhone XS', 5, 548, '2018-08-17 01:13:10.012');
INSERT INTO Review VALUES(97, 3, 'Phone Buy', 'iPhone XR', 1, 549, '2018-08-23 08:11:36.074');
INSERT INTO Review VALUES(97, 3, 'iChallenger', 'iPhone X', 5, 550, '2018-08-20 11:05:36.559');
--order_id = 98, user_id = 3 with created_at date of 2018-8-17
INSERT INTO Review VALUES(98, 3, 'iStudio', 'iPhone X', 5, 551, '2018-08-25 16:28:43.525');
INSERT INTO Review VALUES(98, 3, 'iStudio', 'iPhone XS', 5, 552, '2018-08-25 21:51:36.674');
INSERT INTO Review VALUES(98, 3, 'iStudio', 'iPhone XR', 5, 553, '2018-08-30 19:13:21.705');
INSERT INTO Review VALUES(98, 3, 'Phone Buy', 'iPhone X', 5, 554, '2018-08-18 22:07:27.694');
INSERT INTO Review VALUES(98, 3, 'Phone Buy', 'iPhone XS', 5, 555, '2018-08-31 02:59:00.136');
--order_id = 99, user_id = 3 with created_at date of 2018-8-18
INSERT INTO Review VALUES(99, 3, 'Phone Buy', 'iPhone X', 5, 556, '2018-08-25 10:46:18.187');
INSERT INTO Review VALUES(99, 3, 'Phone Buy', 'iPhone XS', 5, 557, '2018-08-20 02:03:55.199');
INSERT INTO Review VALUES(99, 3, 'Phone Buy', 'iPhone XR', 5, 558, '2018-08-24 12:39:54.174');
INSERT INTO Review VALUES(99, 3, 'iChallenger', 'iPhone X', 5, 559, '2018-08-19 04:08:39.555');
INSERT INTO Review VALUES(99, 3, 'iChallenger', 'iPhone XS', 5, 560, '2018-08-22 01:30:37.038');
--order_id = 100, user_id = 4 with created_at date of 2018-8-7
INSERT INTO Review VALUES(100, 4, 'Phone Buy', 'iPhone X', 2, 561, '2018-08-11 06:17:59.339');
INSERT INTO Review VALUES(100, 4, 'Phone Buy', 'iPhone XS', 5, 562, '2018-08-22 09:47:11.338');
INSERT INTO Review VALUES(100, 4, 'Phone Buy', 'iPhone XR', 2, 563, '2018-08-11 15:14:29.130');
INSERT INTO Review VALUES(100, 4, 'iChallenger', 'iPhone X', 5, 564, '2018-08-08 03:04:50.122');
INSERT INTO Review VALUES(100, 4, 'iChallenger', 'iPhone XS', 5, 565, '2018-08-08 02:39:55.191');
--order_id = 101, user_id = 4 with created_at date of 2018-8-8
INSERT INTO Review VALUES(101, 4, 'iStudio', 'iPhone XS', 5, 566, '2018-08-27 07:24:50.943');
INSERT INTO Review VALUES(101, 4, 'iStudio', 'iPhone XR', 5, 567, '2018-08-10 13:37:48.864');
INSERT INTO Review VALUES(101, 4, 'Phone Buy', 'iPhone X', 5, 568, '2018-08-18 13:14:04.191');
INSERT INTO Review VALUES(101, 4, 'Phone Buy', 'iPhone XS', 5, 569, '2018-08-13 17:27:46.905');
INSERT INTO Review VALUES(101, 4, 'Phone Buy', 'iPhone XR', 5, 570, '2018-08-16 05:18:34.326');
--order_id = 102, user_id = 4 with created_at date of 2018-8-9
INSERT INTO Review VALUES(102, 4, 'Phone Buy', 'iPhone X', 5, 571, '2018-08-14 15:47:06.198');
INSERT INTO Review VALUES(102, 4, 'Phone Buy', 'iPhone XS', 5, 572, '2018-08-20 13:06:45.810');
INSERT INTO Review VALUES(102, 4, 'Phone Buy', 'iPhone XR', 5, 573, '2018-08-11 11:28:40.623');
INSERT INTO Review VALUES(102, 4, 'iChallenger', 'iPhone X', 5, 574, '2018-08-30 04:54:05.207');
INSERT INTO Review VALUES(102, 4, 'iChallenger', 'iPhone XS', 5, 575, '2018-08-26 15:34:35.347');
--order_id = 103, user_id = 4 with created_at date of 2018-8-10
INSERT INTO Review VALUES(103, 4, 'iStudio', 'iPhone XR', 5, 576, '2018-08-19 17:38:17.025');
INSERT INTO Review VALUES(103, 4, 'Phone Buy', 'iPhone X', 5, 577, '2018-08-31 22:43:19.010');
INSERT INTO Review VALUES(103, 4, 'Phone Buy', 'iPhone XS', 5, 578, '2018-08-17 09:36:03.681');
INSERT INTO Review VALUES(103, 4, 'Phone Buy', 'iPhone XR', 5, 579, '2018-08-26 16:32:47.852');
INSERT INTO Review VALUES(103, 4, 'iChallenger', 'iPhone X', 5, 580, '2018-08-25 03:23:17.07');
--order_id = 104, user_id = 4 with created_at date of 2018-8-11
INSERT INTO Review VALUES(104, 4, 'iStudio', 'iPhone XR', 3, 581, '2018-08-23 20:14:13.892');
INSERT INTO Review VALUES(104, 4, 'Phone Buy', 'iPhone X', 5, 582, '2018-08-12 06:16:26.492');
INSERT INTO Review VALUES(104, 4, 'Phone Buy', 'iPhone XS', 5, 583, '2018-08-31 08:23:32.828');
INSERT INTO Review VALUES(104, 4, 'Phone Buy', 'iPhone XR', 5, 584, '2018-08-21 14:40:00.210');
INSERT INTO Review VALUES(104, 4, 'iChallenger', 'iPhone X', 5, 585, '2018-08-15 18:44:49.529');
--order_id = 105, user_id = 4 with created_at date of 2018-8-12
INSERT INTO Review VALUES(105, 4, 'iStudio', 'iPhone XR', 5, 586, '2018-08-15 01:30:14.373');
INSERT INTO Review VALUES(105, 4, 'Phone Buy', 'iPhone X', 5, 587, '2018-08-21 18:13:14.475');
INSERT INTO Review VALUES(105, 4, 'Phone Buy', 'iPhone XS', 5, 588, '2018-08-16 14:12:38.522');
INSERT INTO Review VALUES(105, 4, 'Phone Buy', 'iPhone XR', 5, 589, '2018-08-31 05:31:56.674');
INSERT INTO Review VALUES(105, 4, 'iChallenger', 'iPhone X', 1, 590, '2018-08-30 05:46:56.159');
--order_id = 106, user_id = 4 with created_at date of 2018-8-13
INSERT INTO Review VALUES(106, 4, 'Nubox', 'iPhone XS', 5, 591, '2018-08-21 12:05:28.752');
INSERT INTO Review VALUES(106, 4, 'iStudio', 'iPhone X', 5, 592, '2018-08-27 04:22:44.703');
INSERT INTO Review VALUES(106, 4, 'iStudio', 'iPhone XS', 5, 593, '2018-08-24 07:23:08.542');
INSERT INTO Review VALUES(106, 4, 'iStudio', 'iPhone XR', 1, 594, '2018-08-29 00:26:06.953');
INSERT INTO Review VALUES(106, 4, 'Phone Buy', 'iPhone X', 5, 595, '2018-08-21 08:02:19.221');
--order_id = 107, user_id = 4 with created_at date of 2018-8-14
INSERT INTO Review VALUES(107, 4, 'Nubox', 'iPhone XS', 5, 596, '2018-08-29 05:33:23.793');
INSERT INTO Review VALUES(107, 4, 'iStudio', 'iPhone X', 2, 597, '2018-08-22 13:27:52.302');
INSERT INTO Review VALUES(107, 4, 'iStudio', 'iPhone XS', 5, 598, '2018-08-16 08:00:31.967');
INSERT INTO Review VALUES(107, 4, 'iStudio', 'iPhone XR', 5, 599, '2018-08-22 06:34:33.884');
INSERT INTO Review VALUES(107, 4, 'Phone Buy', 'iPhone X', 5, 600, '2018-08-19 07:18:30.408');
--order_id = 108, user_id = 4 with created_at date of 2018-8-15
INSERT INTO Review VALUES(108, 4, 'iStudio', 'iPhone XR', 4, 601, '2018-08-19 13:50:22.631');
INSERT INTO Review VALUES(108, 4, 'Phone Buy', 'iPhone X', 5, 602, '2018-08-19 18:20:32.279');
INSERT INTO Review VALUES(108, 4, 'Phone Buy', 'iPhone XS', 5, 603, '2018-08-20 00:36:02.940');
INSERT INTO Review VALUES(108, 4, 'Phone Buy', 'iPhone XR', 5, 604, '2018-08-17 01:38:55.974');
INSERT INTO Review VALUES(108, 4, 'iChallenger', 'iPhone X', 5, 605, '2018-08-26 10:58:14.266');
--order_id = 109, user_id = 4 with created_at date of 2018-8-16
INSERT INTO Review VALUES(109, 4, 'Nubox', 'iPhone XS', 5, 606, '2018-08-21 00:02:57.435');
INSERT INTO Review VALUES(109, 4, 'iStudio', 'iPhone X', 5, 607, '2018-08-16 17:05:01.086');
INSERT INTO Review VALUES(109, 4, 'iStudio', 'iPhone XS', 5, 608, '2018-08-18 21:11:50.871');
INSERT INTO Review VALUES(109, 4, 'iStudio', 'iPhone XR', 5, 609, '2018-08-25 18:06:58.856');
INSERT INTO Review VALUES(109, 4, 'Phone Buy', 'iPhone X', 5, 610, '2018-08-30 06:35:23.811');
INSERT INTO Complaints VALUES(1, 'I ordered a hoodie and it had holes', 1, 'ADDRESSED', '2018-10-05 13:45:21.529', '2018-10-06 15:02:12.101');
INSERT INTO Complaints VALUES(10, 'The galaxy s6 that i ordered stopped functioning after 2 days', 5, 'BEING_HANDLED', '2018-10-25 09:12:10.002', NULL);
INSERT INTO Complaints VALUES(2, 'The shoe soles gave way after my first 100km run', NULL, 'PENDING', '2018-10-22 19:35:15.230', NULL);
INSERT INTO Complaints VALUES(6, 'I think this guy is lying about his hooding', 6, 'BEING HANDLED', '2018-10-06 10:20:15.110', NULL);
INSERT INTO Complaints VALUES(1, 'Royal Sporting House has been pretty slow with their deliveries', 3, 'BEING HANDLED', '2018-10-20 20:54:19.199', NULL);
INSERT INTO Complaints VALUES(3, 'I''ve been trying to contact iStudio for some inquiry but they never get back to me at all', 5, 'ADDRESSED', '2018-10-18 15:31:20.765', '2018-10-22 19:21:40.119');
INSERT INTO Complaints VALUES(9, 'Nubox seems to be selling their products at a way higher price than a normal Apple Store', NULL, 'PENDING', '2018-10-05 12:10:20.123', NULL);
INSERT INTO Complaints VALUES(12, 'Packaging came damaged and unsatifactory', NULL, 'PENDING', '2018-10-05 12:10:20.123', NULL);
INSERT INTO Complaints VALUES(14, 'Store sent the wrong item!!!', 1, 'ADDRESSED', '2018-10-05 12:10:20.123', '2018-10-06 16:02:12.101');
INSERT INTO Complaints VALUES(15, 'False advertising: item was not as described', NULL, 'PENDING', '2018-10-05 12:10:20.123', NULL);
INSERT INTO Complaints VALUES(12, 'defective goods, reported', NULL, 'PENDING', '2018-10-05 12:10:20.123', NULL);
INSERT INTO Complaints VALUES(13, 'Item sent is a imitation product, help please', 1, 'ADDRESSED', '2018-10-05 12:10:20.123', '2018-10-05 16:02:12.101');
INSERT INTO Complaints VALUES(3, 'I got charged a higher amount then the price reflected on the store', 13, 'BEING_HANDLED', '2018-10-05 12:10:20.123', NULL);
INSERT INTO Complaints VALUES(5, 'The discount code did not work!!!', NULL, 'PENDING', '2018-10-05 12:10:20.123', NULL);
INSERT INTO Complaints VALUES(17, 'store staff was rude and made scarcastic remarks when I queried about their product', 14, 'ADDRESSED', '2018-10-05 12:10:20.123', '2018-10-06 17:02:12.101');
INSERT INTO Complaints VALUES(9, 'Website lagged and crashed frequently', 13, 'BEING_HANDLED', '2018-10-05 12:10:20.123', NULL);
INSERT INTO Complaints VALUES(18, 'This comment is Ai generated', 1, 'ADDRESSED', '2018-10-05 12:10:20.123', '2018-10-05 14:10:20.123');
INSERT INTO Complaints VALUES(2,'unhelpfull comment', NULL, 'PENDING', '2018-10-05 12:10:20.123', NULL);
INSERT INTO Complaints VALUES(16, 'I seen this comment so many times', NULL, 'PENDING', '2018-09-05 12:10:20.123', NULL);
INSERT INTO Complaints VALUES(15, 'this is a false comment', 1, 'ADDRESSED', '2018-10-03 12:10:20.123', '2018-10-04 12:10:20.123');
INSERT INTO Complaints VALUES(14, 'Hey stop advertising your items', 6, 'BEING_HANDLED', '2018-10-05 12:10:20.123', NULL);
INSERT INTO Complaints VALUES(13, 'oh dear not like this', NULL, 'PENDING', '2018-10-05 12:10:20.123', NULL);
INSERT INTO Complaints VALUES(16, 'Lazada is so much better', 5, 'BEING_HANDLED', '2018-10-05 12:10:20.123', NULL);
INSERT INTO Complaints VALUES(17, 'woohoo', NULL, 'PENDING', '2018-10-05 12:10:20.123', NULL);
INSERT INTO Complaints VALUES(18, 'Ai generated comment', NULL, 'PENDING', '2018-10-05 12:10:20.123', NULL);
INSERT INTO Complaints VALUES(16, 'AI generated comment', NULL, 'PENDING', '2018-10-05 12:10:20.123', NULL);
INSERT INTO Complaints VALUES(14, 'hi', NULL, 'PENDING', '2018-10-05 12:10:20.123', NULL);
INSERT INTO Complaints VALUES(13, 'Packaging came damaged and unsatifactory', NULL, 'PENDING', '2018-10-05 12:10:20.123', NULL);
INSERT INTO Complaints VALUES(2, 'Wrong item sent! ' , 12, 'BEING_HANDLED', '2018-10-05 12:10:20.123', NULL);
INSERT INTO Complaints VALUES(6, 'Requesting swap', 1, 'ADDRESSED', '2018-08-05 12:10:20.123', '2018-08-05 19:10:20.123');
INSERT INTO Complaints VALUES(10, 'Packaging came damaged and unsatifactory', 13, 'BEING_HANDLED', '2018-07-05 12:10:20.123', NULL);
INSERT INTO Complaints VALUES(13, 'item not as descripted', NULL, 'PENDING', '2018-10-05 12:10:20.123', NULL);
INSERT INTO Complaints VALUES(14, 'faulty Item', 15, 'ADDRESSED', '2018-08-05 12:10:20.123', '2018-09-05 12:10:20.123');
INSERT INTO Complaints VALUES(17, 'excessive wrapping', 17, 'BEING_HANDLED', '2018-10-05 12:10:20.123', NULL);
INSERT INTO Complaints VALUES(12, 'Product not send in eco friendly wrapping', 12, 'ADDRESSED', '2018-10-05 12:10:20.123', '2018-11-05 12:10:20.123');
INSERT INTO Complaints VALUES(18, 'item came damaged', NULL, 'PENDING', '2018-04-05 12:10:20.123', NULL);
INSERT INTO Complaints VALUES(11, 'Packaging came damaged and unsatifactory', NULL, 'PENDING', '2018-06-05 12:10:20.123', NULL);
INSERT INTO Complaints VALUES(9, 'I got scammed!!', 13, 'BEING_HANDLED', '2018-10-05 12:10:20.123', NULL);
INSERT INTO Complaints VALUES(6, 'very aggressive selling tatic', 13, 'ADDRESSED', '2018-08-05 12:10:20.123', '2018-10-05 12:10:20.123');
INSERT INTO Complaints VALUES(3, 'Fake Apple Store', 12, 'ADDRESSED', '2018-10-05 12:10:20.123', '2018-10-05 13:10:20.123');
INSERT INTO Complaints VALUES(7, 'they carry imitation goods', NULL, 'PENDING', '2018-10-05 12:10:20.123', NULL);
INSERT INTO Complaints VALUES(4, 'Very messy interface', 1, 'ADDRESSED', '2018-09-05 12:10:20.123', '2018-09-05 13:10:20.123');
INSERT INTO Complaints VALUES(15, 'unclear pricing', 6, 'ADDRESSED', '2018-10-05 12:10:20.123', '2018-10-06 12:10:20.123');
INSERT INTO Complaints VALUES(13, 'they tried to scam me', 5, 'ADDRESSED', '2018-10-05 12:10:20.123', '2018-11-05 12:10:20.123');
INSERT INTO Complaints VALUES(16, 'dont bother with this shop', NULL, 'PENDING', '2018-10-05 12:10:20.123', NULL);
INSERT INTO Complaints_on_Shops VALUES(5, 'Royal Sporting House');
INSERT INTO Complaints_on_Shops VALUES(6, 'iStudio');
INSERT INTO Complaints_on_Shops VALUES(7, 'Nubox');
INSERT INTO Complaints_on_Shops VALUES(9, 'Adidas');
INSERT INTO Complaints_on_Shops VALUES(10, 'Popular');
INSERT INTO Complaints_on_Shops VALUES(13, 'Starhub');
INSERT INTO Complaints_on_Shops VALUES(38, 'Uniqlo');
INSERT INTO Complaints_on_Shops VALUES(39, 'H&M');
INSERT INTO Complaints_on_Shops VALUES(40, 'Starhub');
INSERT INTO Complaints_on_Shops VALUES(41, 'COURTS');
INSERT INTO Complaints_on_Shops VALUES(42, 'Starhub');
INSERT INTO Complaints_on_Shops VALUES(43, 'Home Buy');
INSERT INTO Complaints_on_Shops VALUES(44, 'Starhub');
INSERT INTO Complaints_on_Shops VALUES(45, 'iChallenger');
INSERT INTO Complaints_on_Products VALUES(1, 'KAVAL Hoodie');
INSERT INTO Complaints_on_Products VALUES(2, 'Galaxy S6');
INSERT INTO Complaints_on_Products VALUES(3, 'Pureboost RBL Shoes');
INSERT INTO Complaints_on_Products VALUES(8, 'KAVAL Cap');
INSERT INTO Complaints_on_Products VALUES(11, 'iPhone XR');
INSERT INTO Complaints_on_Products VALUES(12, 'iPhone X');
INSERT INTO Complaints_on_Products VALUES(28, 'iPhone XS');
INSERT INTO Complaints_on_Products VALUES(29, 'iPhone 8');
INSERT INTO Complaints_on_Products VALUES(30, 'iPhone 8 Plus');
INSERT INTO Complaints_on_Products VALUES(31, 'iPhone X');
INSERT INTO Complaints_on_Products VALUES(32, 'iPhone X');
INSERT INTO Complaints_on_Products VALUES(33, 'iPhone X');
INSERT INTO Complaints_on_Products VALUES(34, 'Galaxy S9');
INSERT INTO Complaints_on_Products VALUES(35, 'Galaxy S9');
INSERT INTO Complaints_on_Products VALUES(36, 'iPhone XR');
INSERT INTO Complaints_on_Products VALUES(37, 'iPhone XR');
INSERT INTO Complaints_on_Comments VALUES(4, 2);
INSERT INTO Complaints_on_Comments VALUES(14, 5);
INSERT INTO Complaints_on_Comments VALUES(15, 6);
INSERT INTO Complaints_on_Comments VALUES(16, 8);
INSERT INTO Complaints_on_Comments VALUES(17, 12);
INSERT INTO Complaints_on_Comments VALUES(18, 12);
INSERT INTO Complaints_on_Comments VALUES(19, 12);
INSERT INTO Complaints_on_Comments VALUES(20, 12);
INSERT INTO Complaints_on_Comments VALUES(21, 12);
INSERT INTO Complaints_on_Comments VALUES(22, 12);
INSERT INTO Complaints_on_Comments VALUES(23, 12);
INSERT INTO Complaints_on_Comments VALUES(24, 12);
INSERT INTO Complaints_on_Comments VALUES(25, 12);
INSERT INTO Complaints_on_Comments VALUES(26, 12);
INSERT INTO Complaints_on_Comments VALUES(27, 12);
INSERT INTO Price_History VALUES('Nubox', 'iPhone X', 1759, '2018-01-26', '2018-03-26');
INSERT INTO Price_History VALUES('Nubox', 'iPhone X', 1659, '2018-03-26', '2018-05-26');
INSERT INTO Price_History VALUES('Nubox', 'iPhone X', 1699, '2018-05-26', '2018-07-26');
INSERT INTO Price_History VALUES('Nubox', 'iPhone X', 1619, '2018-07-26', '2018-09-26');
INSERT INTO Price_History VALUES('Nubox', 'iPhone X', 1569, '2018-09-26', '2018-11-26');
INSERT INTO Price_History VALUES('Nubox', 'iPhone XS', 1859, '2018-01-26', '2018-03-26');
INSERT INTO Price_History VALUES('Nubox', 'iPhone XS', 1899, '2018-03-26', '2018-05-26');
INSERT INTO Price_History VALUES('Nubox', 'iPhone XS', 1699, '2018-05-26', '2018-07-26');
INSERT INTO Price_History VALUES('Nubox', 'iPhone XS', 1459, '2018-07-26', '2018-09-26');
INSERT INTO Price_History VALUES('Nubox', 'iPhone XS', 1649, '2018-09-26', '2018-12-26');
INSERT INTO Price_History VALUES('Nubox', 'Galaxy S9', 1359, '2018-01-26', '2018-03-26');
INSERT INTO Price_History VALUES('Nubox', 'Galaxy S9', 1399, '2018-03-26', '2018-05-26');
INSERT INTO Price_History VALUES('Nubox', 'Galaxy S9', 1158, '2018-05-26', '2018-07-26');
INSERT INTO Price_History VALUES('Nubox', 'Galaxy S9', 1299, '2018-07-26', '2018-09-26');
INSERT INTO Price_History VALUES('Nubox', 'Galaxy S9', 1198, '2018-09-26', '2018-12-26');
INSERT INTO Price_History VALUES('Nubox', 'Galaxy S7', 1359, '2018-01-26', '2018-03-26');
INSERT INTO Price_History VALUES('Nubox', 'Galaxy S7', 1299, '2018-03-26', '2018-05-26');
INSERT INTO Price_History VALUES('Nubox', 'Galaxy S7', 1059, '2018-05-26', '2018-07-26');
INSERT INTO Price_History VALUES('Nubox', 'Galaxy S7', 1195, '2018-07-26', '2018-09-26');
INSERT INTO Price_History VALUES('Nubox', 'Galaxy S7', 1098, '2018-09-26', '2018-12-26');
INSERT INTO Price_History VALUES('Nubox', 'Galaxy S6', 1129, '2018-01-26', '2018-03-26');
INSERT INTO Price_History VALUES('Nubox', 'Galaxy S6', 1059, '2018-03-26', '2018-05-26');
INSERT INTO Price_History VALUES('Nubox', 'Galaxy S6', 1150, '2018-05-26', '2018-07-26');
INSERT INTO Price_History VALUES('Nubox', 'Galaxy S6', 1095, '2018-07-26', '2018-09-26');
INSERT INTO Price_History VALUES('Nubox', 'Galaxy S6', 998, '2018-09-26', '2018-12-26');
INSERT INTO Price_History VALUES('iStudio', 'iPhone X', 1659, '2018-01-01', '2018-03-01');
INSERT INTO Price_History VALUES('iStudio', 'iPhone X', 1500, '2018-03-01', '2018-05-01');
INSERT INTO Price_History VALUES('iStudio', 'iPhone X', 1459, '2018-05-01', '2018-06-01');
INSERT INTO Price_History VALUES('iStudio', 'iPhone X', 1698, '2018-06-01', '2018-08-01');
INSERT INTO Price_History VALUES('iStudio', 'iPhone X', 1550, '2018-08-01', '2018-08-31');
INSERT INTO Price_History VALUES('iStudio', 'iPhone X', 1569, '2018-08-31', '2018-11-26');
INSERT INTO Price_History VALUES('iStudio', 'iPhone XS', 1599, '2018-01-01', '2018-03-01');
INSERT INTO Price_History VALUES('iStudio', 'iPhone XS', 1589, '2018-03-01', '2018-05-01');
INSERT INTO Price_History VALUES('iStudio', 'iPhone XS', 1600, '2018-05-01', '2018-06-01');
INSERT INTO Price_History VALUES('iStudio', 'iPhone XS', 1559, '2018-06-01', '2018-08-01');
INSERT INTO Price_History VALUES('iStudio', 'iPhone XS', 1599, '2018-08-01', '2018-08-31');
INSERT INTO Price_History VALUES('iStudio', 'iPhone XS', 1699, '2018-08-31', '2018-11-26');
INSERT INTO Price_History VALUES('iStudio', 'iPhone XR', 1759, '2018-01-01', '2018-03-01');
INSERT INTO Price_History VALUES('iStudio', 'iPhone XR', 1799, '2018-03-01', '2018-05-01');
INSERT INTO Price_History VALUES('iStudio', 'iPhone XR', 1829, '2018-05-01', '2018-06-01');
INSERT INTO Price_History VALUES('iStudio', 'iPhone XR', 1859, '2018-06-01', '2018-08-01');
INSERT INTO Price_History VALUES('iStudio', 'iPhone XR', 1799, '2018-08-01', '2018-08-31');
INSERT INTO Price_History VALUES('iStudio', 'iPhone XR', 1899, '2018-08-31', '2018-11-26');
INSERT INTO Price_History VALUES('Royal Sporting House', 'Ultraboost Shoes', 265, '2018-01-01', '2018-03-01');
INSERT INTO Price_History VALUES('Royal Sporting House', 'Ultraboost Shoes', 255, '2018-03-01', '2018-05-01');
INSERT INTO Price_History VALUES('Royal Sporting House', 'Ultraboost Shoes', 239, '2018-05-01', '2018-06-01');
INSERT INTO Price_History VALUES('Royal Sporting House', 'Ultraboost Shoes', 250, '2018-06-01', '2018-08-01');
INSERT INTO Price_History VALUES('Royal Sporting House', 'Ultraboost Shoes', 280, '2018-08-01', '2018-09-01');
INSERT INTO Price_History VALUES('Royal Sporting House', 'Ultraboost Shoes', 210, '2018-09-01', '2018-11-01');
INSERT INTO Price_History VALUES('Royal Sporting House', 'KAVAL Hoodie', 155, '2018-01-01', '2018-03-01');
INSERT INTO Price_History VALUES('Royal Sporting House', 'KAVAL Hoodie', 165, '2018-03-01', '2018-05-01');
INSERT INTO Price_History VALUES('Royal Sporting House', 'KAVAL Hoodie', 140, '2018-05-01', '2018-06-01');
INSERT INTO Price_History VALUES('Royal Sporting House', 'KAVAL Hoodie', 150, '2018-06-01', '2018-08-01');
INSERT INTO Price_History VALUES('Royal Sporting House', 'KAVAL Hoodie', 135, '2018-08-01', '2018-09-01');
INSERT INTO Price_History VALUES('Royal Sporting House', 'KAVAL Hoodie', 125, '2018-09-01', '2018-11-01');
INSERT INTO Price_History VALUES('Royal Sporting House', 'KAVAL Cap', 36, '2018-01-01', '2018-03-01');
INSERT INTO Price_History VALUES('Royal Sporting House', 'KAVAL Cap', 38, '2018-03-01', '2018-05-01');
INSERT INTO Price_History VALUES('Royal Sporting House', 'KAVAL Cap', 40, '2018-05-01', '2018-06-01');
INSERT INTO Price_History VALUES('Royal Sporting House', 'KAVAL Cap', 33, '2018-06-01', '2018-08-01');
INSERT INTO Price_History VALUES('Royal Sporting House', 'KAVAL Cap', 30, '2018-08-01', '2018-09-01');
INSERT INTO Price_History VALUES('Royal Sporting House', 'KAVAL Cap', 35, '2018-09-01', '2018-11-01');
INSERT INTO Price_History VALUES('Adidas', 'Ultraboost Shoes', 231, '2018-01-01', '2018-03-01');
INSERT INTO Price_History VALUES('Adidas', 'Ultraboost Shoes', 240, '2018-03-01', '2018-05-01');
INSERT INTO Price_History VALUES('Adidas', 'Ultraboost Shoes', 245, '2018-05-01', '2018-06-01');
INSERT INTO Price_History VALUES('Adidas', 'Ultraboost Shoes', 255, '2018-06-01', '2018-08-01');
INSERT INTO Price_History VALUES('Adidas', 'Ultraboost Shoes', 260, '2018-08-01', '2018-09-01');
INSERT INTO Price_History VALUES('Adidas', 'Ultraboost Shoes', 230, '2018-09-01', '2018-11-01');
INSERT INTO Price_History VALUES('Adidas', 'Pureboost RBL Shoes', 158, '2018-01-01', '2018-03-01');
INSERT INTO Price_History VALUES('Adidas', 'Pureboost RBL Shoes', 162, '2018-03-01', '2018-05-01');
INSERT INTO Price_History VALUES('Adidas', 'Pureboost RBL Shoes', 155, '2018-05-01', '2018-06-01');
INSERT INTO Price_History VALUES('Adidas', 'Pureboost RBL Shoes', 145, '2018-06-01', '2018-08-01');
INSERT INTO Price_History VALUES('Adidas', 'Pureboost RBL Shoes', 165, '2018-08-01', '2018-09-01');
INSERT INTO Price_History VALUES('Adidas', 'Pureboost RBL Shoes', 150, '2018-09-01', '2018-11-01');
INSERT INTO Price_History VALUES('Family House', 'Quickdrive Washing Machine', 999, '2018-01-01', '2018-03-01');
INSERT INTO Price_History VALUES('Family House', 'Quickdrive Washing Machine', 949, '2018-03-01', '2018-05-01');
INSERT INTO Price_History VALUES('Family House', 'Quickdrive Washing Machine', 919, '2018-05-01', '2018-06-01');
INSERT INTO Price_History VALUES('Family House', 'Quickdrive Washing Machine', 939, '2018-06-01', '2018-08-01');
INSERT INTO Price_History VALUES('Family House', 'Quickdrive Washing Machine', 899, '2018-08-01', '2018-09-01');
INSERT INTO Price_History VALUES('Family House', 'Quickdrive Washing Machine', 799, '2018-09-01', '2018-11-01');
INSERT INTO Price_History VALUES('Family House', 'Ecobubble Washing Machine', 1199,'2018-01-01', '2018-03-01');
INSERT INTO Price_History VALUES('Family House', 'Ecobubble Washing Machine', 1100,'2018-03-01', '2018-05-01');
INSERT INTO Price_History VALUES('Family House', 'Ecobubble Washing Machine', 1129,'2018-05-01', '2018-06-01');
INSERT INTO Price_History VALUES('Family House', 'Ecobubble Washing Machine', 1111,'2018-06-01', '2018-08-01');
INSERT INTO Price_History VALUES('Family House', 'Ecobubble Washing Machine', 999,'2018-08-01', '2018-09-01');
INSERT INTO Price_History VALUES('Family House', 'Ecobubble Washing Machine', 1099,'2018-09-01', '2018-11-01');
INSERT INTO Price_History VALUES('Phone Buy', 'iPhone X', 1699, '2018-01-01', '2018-03-01');
INSERT INTO Price_History VALUES('Phone Buy', 'iPhone X', 1599, '2018-03-01', '2018-05-01');
INSERT INTO Price_History VALUES('Phone Buy', 'iPhone X', 1455, '2018-05-01', '2018-06-01');
INSERT INTO Price_History VALUES('Phone Buy', 'iPhone X', 1529, '2018-06-01', '2018-08-01');
INSERT INTO Price_History VALUES('Phone Buy', 'iPhone X', 1329, '2018-08-01', '2018-09-01');
INSERT INTO Price_History VALUES('Phone Buy', 'iPhone X', 1600, '2018-09-01', '2018-11-01');
INSERT INTO Price_History VALUES('Phone Buy', 'iPhone XS', 1599, '2018-01-01', '2018-03-01');
INSERT INTO Price_History VALUES('Phone Buy', 'iPhone XS', 1589, '2018-03-01', '2018-05-01');
INSERT INTO Price_History VALUES('Phone Buy', 'iPhone XS', 1500, '2018-05-01', '2018-06-01');
INSERT INTO Price_History VALUES('Phone Buy', 'iPhone XS', 1359, '2018-06-01', '2018-08-01');
INSERT INTO Price_History VALUES('Phone Buy', 'iPhone XS', 1590, '2018-08-01', '2018-08-31');
INSERT INTO Price_History VALUES('Phone Buy', 'iPhone XS', 1400, '2018-08-31', '2018-11-26');
INSERT INTO Price_History VALUES('Phone Buy', 'iPhone XR', 1759, '2018-01-01', '2018-03-01');
INSERT INTO Price_History VALUES('Phone Buy', 'iPhone XR', 1729, '2018-03-01', '2018-05-01');
INSERT INTO Price_History VALUES('Phone Buy', 'iPhone XR', 1719, '2018-05-01', '2018-06-01');
INSERT INTO Price_History VALUES('Phone Buy', 'iPhone XR', 1699, '2018-06-01', '2018-08-01');
INSERT INTO Price_History VALUES('Phone Buy', 'iPhone XR', 1688, '2018-08-01', '2018-08-31');
INSERT INTO Price_History VALUES('Phone Buy', 'iPhone XR', 1700, '2018-08-31', '2018-11-26');
INSERT INTO Price_History VALUES('iChallenger', 'iPhone X', 1399, '2018-01-01', '2018-03-01');
INSERT INTO Price_History VALUES('iChallenger', 'iPhone X', 1400, '2018-03-01', '2018-05-01');
INSERT INTO Price_History VALUES('iChallenger', 'iPhone X', 1322, '2018-05-01', '2018-06-01');
INSERT INTO Price_History VALUES('iChallenger', 'iPhone X', 1299, '2018-06-01', '2018-08-01');
INSERT INTO Price_History VALUES('iChallenger', 'iPhone X', 1350, '2018-08-01', '2018-09-01');
INSERT INTO Price_History VALUES('iChallenger', 'iPhone X', 1360, '2018-09-01', '2018-11-01');
INSERT INTO Price_History VALUES('iChallenger', 'iPhone XS', 1699, '2018-01-01', '2018-03-01');
INSERT INTO Price_History VALUES('iChallenger', 'iPhone XS', 1600, '2018-03-01', '2018-05-01');
INSERT INTO Price_History VALUES('iChallenger', 'iPhone XS', 1629, '2018-05-01', '2018-06-01');
INSERT INTO Price_History VALUES('iChallenger', 'iPhone XS', 1528, '2018-06-01', '2018-08-01');
INSERT INTO Price_History VALUES('iChallenger', 'iPhone XS', 1600, '2018-08-01', '2018-08-31');
INSERT INTO Price_History VALUES('iChallenger', 'iPhone XS', 1679, '2018-08-31', '2018-11-26');
INSERT INTO Price_History VALUES('iChallenger', 'iPhone XR', 1759, '2018-01-01', '2018-03-01');
INSERT INTO Price_History VALUES('iChallenger', 'iPhone XR', 1728, '2018-03-01', '2018-05-01');
INSERT INTO Price_History VALUES('iChallenger', 'iPhone XR', 1700, '2018-05-01', '2018-06-01');
INSERT INTO Price_History VALUES('iChallenger', 'iPhone XR', 1600, '2018-06-01', '2018-08-01');
INSERT INTO Price_History VALUES('iChallenger', 'iPhone XR', 1650, '2018-08-01', '2018-08-31');
INSERT INTO Price_History VALUES('iChallenger', 'iPhone XR', 1800, '2018-08-31', '2018-11-26');
|
CREATE VIEW [sn].[u_internal_activity]
AS
SELECT
TOP (100)
--Dates/Users
[sys_created_on_value] AS [sys created on value],
[sys_created_by_value] AS [sys created by value],
[sys_updated_on_value] AS [sys updated on value],
[sys_updated_by_value] AS [sys updated by value],
[closed_at_value] AS [closed at value],
[closed_by_value] AS [closed by value],
[closed_by_display_value] AS [closed by display value],
[opened_at_value] AS [opened at value],
[opened_by_value] AS [opened by value],
[opened_by_display_value] AS [opened by display value],
[work_start_display_value] AS [work start display value],
[work_end_display_value] AS [work end display value],
[u_start_date_display_value] AS [u start date display value],
[u_end_date_display_value] AS [u end date display value],
--IDs
[sys_id_value] AS [sys id value],
[number_value] AS [number value],
[upon_reject_value] AS [upon reject value],
[upon_reject_display_value] AS [upon reject display value],
[u_allocation_type_display_value] AS [u allocation type display value],
[location_value] AS [location value],
[location_display_value] AS [location display value],
[cmdb_ci_value] AS [cmdb ci value],
[cmdb_ci_display_value] AS [cmdb ci display value],
[u_configuration_item_value] AS [u configuration item value],
[u_configuration_item_display_value] AS [u configuration item display value],
[service_offering_value] AS [service offering value],
[service_offering_display_value] AS [service offering display value],
[assignment_group_value] AS [assignment group value],
[assignment_group_display_value] AS [assignment group display value],
[priority_value] AS [priority value],
[priority_display_value] AS [priority display value],
[state_value] AS [state value],
[state_display_value] AS [state display value],
[additional_assignee_list_value] AS [additional assignee list value],
[additional_assignee_list_display_value] AS [additional assignee list display value],
[assigned_to_value] AS [assigned to value],
[u_parent_value] AS [u parent value],
[u_parent_display_value] AS [u parent display value],
--Extra
[contact_type_display_value] AS [contact type display value],
[description_display_value] AS [description display value],
[comments_display_value] AS [comments display value],
[impact_value] AS [impact value],
[impact_display_value] AS [impact display value],
[escalation_display_value] AS [escalation display value],
[active_value] AS [active value],
[approval_display_value] AS [approval display value],
[upon_approval_display_value] AS [upon approval display value] ,
[sys_class_name_value] AS [sys class name value],
[u_cost_object_type_display_value] AS [u cost object type display value],
[u_cost_object_display_value] AS [u cost object display value],
[sys_mod_count_value] AS [sys mod count value],
[u_fte_display_value] AS [u fte display value],
[u_user_updates_value] AS [u user updates value],
[u_assignee_reassignment_count_value] AS [u assignee reassignment count value],
[reassignment_count_value] AS [reassignment count value],
[u_user_updates_display_value] AS [u user updates display value],
[u_has_attachments_value] AS [u has attachments value],
[u_planned_hours_display_value] AS [u planned hours display value],
[u_work_days_display_value] AS [u work days display value]
FROM [actual].[u_internal_activity] AS [internal_activityA]
LEFT OUTER JOIN [display].[u_internal_activity] AS [internal_activityD]
ON [internal_activityA].[sys_id_value] = [internal_activityD].[sys_id_display_value] |
SET NAMES UTF8; #设置语言
DROP DATABASE IF EXISTS zsf; #丢弃并重新创建数据库
CREATE DATABASE zsf CHARSET=UTF8; #创建数据库
USE zsf; #进入数据库
#用户信息表
CREATE TABLE zsf_user(
uid int PRIMARY KEY AUTO_INCREMENT, #用户id
uphone BIGINT(25), #用户手机号
uname VARCHAR(20), #昵称
upwd VARCHAR(16), #密码
usex CHAR(1), #性别 1.男 0.女
ubirthday VARCHAR(20), #生日
uborn VARCHAR(50), #居住地
upslst VARCHAR(150), #个人简介
uheadportrait VARCHAR(50), #头像
uemail VARCHAR(20), #邮箱
umoney DECIMAL(10,2), #钱包余额
uqq VARCHAR(20), #绑定qq
uwx VARCHAR(20), #绑定微信
uwb VARCHAR(20), #绑定微博
utb VARCHAR(20), #绑定淘宝
ulogin CHAR(1) #是否登陆 (1.是 0.否)
);
create table index_list(
img_url VARCHAR(50),
detail VARCHAR(255),
price INT(11)
);
/*限时立减商品表*/
create table reduction(
/*商品编号*/
Tid int not null primary key AUTO_INCREMENT,
/*商品标题*/
Ttitle char(20) not null,
/*商品图片*/
Timg char(20) not null,
/*商品简介*/
TsuBtitle varchar(200) not null,
-- 商品价格
Tprice int not null,
-- 商品优惠价格
T_re_price int not null,
-- 商品销量
Tsale_volume int not null,
-- 商家id
Tbus_id int not null,
-- 浏览量
Tsee int
);
create table reduction_img(
Tid int not null, #图片id
timg_url varchar(255) #图片路径
);
CREATE TABLE travel(
tid INT PRIMARY KEY AUTO_INCREMENT,
title VARCHAR(30),
ddescribe VARCHAR(50),
price VARCHAR(8),
browse INT,
sale INT,
suitable INT,
ttype VARCHAR(10),
country VARCHAR(20),
vexemption Boolean,
img_url VARCHAR(128)
);
#查看评论
CREATE TABLE comments(
cid INT PRIMARY KEY AUTO_INCREMENT, #评论id
time DATE, #订单时间
content VARCHAR(150), #评论内容
grade TINYINT(5), #评分
lid VARCHAR(8), #商品id
uid VARCHAR(8) #用户id
)
#插入数据
INSERT INTO comments values(null,"2018-04-12","很不错,导游也很负责",4,1,1);
INSERT INTO comments values(null,"2018-04-12","打撒奥大所多",3,1,1);
INSERT INTO comments values(null,"2018-04-12","阿斯顿撒多",1,1,1);
INSERT INTO comments values(null,"2018-04-12","阿豪你老婆真棒",5,1,1);
INSERT INTO comments values(null,"2018-04-12","很不错,我证明",2,1,1);
INSERT INTO comments values(null,"2018-04-12","是的，我也证明",1,1,1);
INSERT INTO comments values(null,"2018-04-12","大家都可以证明",4,1,1);
INSERT INTO comments values(null,"2018-04-12","很不错",4,2,2);
INSERT INTO comments values(null,"2018-04-12","导游也很负责",2,2,2);
INSERT INTO comments values(null,"2018-04-12","企鹅窝群饿",3,2,2);
INSERT INTO comments values(null,"2018-04-12","吃不出现",5,2,2);
INSERT INTO comments values(null,"2018-04-12","发嘚瑟安抚",2,2,2);
INSERT INTO comments values(null,"2018-04-12","范德萨发",4,2,2);
INSERT INTO comments values(null,"2018-04-12","很不错",4,2,2);
INSERT INTO comments values(null,"2018-04-12","导游也很负责",2,2,2);
INSERT INTO comments values(null,"2018-04-12","企鹅窝群饿",3,2,2);
INSERT INTO comments values(null,"2018-04-12","吃不出现",5,2,2);
INSERT INTO comments values(null,"2018-04-12","发嘚瑟安抚",2,2,2);
INSERT INTO comments values(null,"2018-04-12","范德萨发",4,3,2);
INSERT INTO comments values(null,"2018-04-12","很不错",4,3,2);
INSERT INTO comments values(null,"2018-04-12","导游也很负责",2,3,2);
INSERT INTO comments values(null,"2018-04-12","企鹅窝群饿",3,3,2);
INSERT INTO comments values(null,"2018-04-12","吃不出现",5,3,2);
INSERT INTO comments values(null,"2018-04-12","发嘚瑟安抚",2,3,2);
INSERT INTO comments values(null,"2018-04-12","范德萨发",4,4,2);
INSERT INTO comments values(null,"2018-04-12","很不错",4,4,2);
INSERT INTO comments values(null,"2018-04-12","导游也很负责",2,4,2);
INSERT INTO comments values(null,"2018-04-12","企鹅窝群饿",3,4,2);
INSERT INTO comments values(null,"2018-04-12","吃不出现",5,4,2);
INSERT INTO comments values(null,"2018-04-12","发嘚瑟安抚",2,4,2);
INSERT INTO comments values(null,"2018-04-12","范德萨发",4,4,2);
INSERT INTO zsf_user values(null,15515531989,"海绵宝宝","123456","1","19970821","河南省郑州市金水区信息学院路","此人很懒，没留下什么","img1","2587773542@qq.com",300,"2587773542","gyl19970821","13721419865","15515531989","0");
INSERT INTO zsf_user values(null,13681871401,"海绵宝宝","123456","1","19970821","河南省郑州市金水区信息学院路","此人很懒，没留下什么","img2","2587773542@qq.com",400,"2587773542","gyl19970821","13721419865","15515531989","0");
-- #插入数据
INSERT INTO index_list VALUES('index/maerdaifu.png','北京直飞马尔代夫6-7天往返含税机票（首都航空/售完为止）',2699);
INSERT INTO index_list VALUES('index/dongjing.jpg','[圣诞]天津直飞日本大阪/东京/名古屋/冲绳/北海道4-7天往返含税机票(多航司甩尾机票)',1299);
INSERT INTO index_list VALUES('index/taiguo.jpg','[圣诞节/元旦]北京直飞泰国清迈7天往返含税机票',2390);
INSERT INTO index_list VALUES('index/pujidao.jpg', '[圣诞节/元旦]南京直飞普吉岛7天往返含税机票', 980);
insert into reduction values(1,'北京直飞札幌','shop/bz_01_1.jpg','北京直飞札幌6日往返税机票(充足库存+优质白航班+可升级酒自由行+超大行李额任性买买买)',2930,2630,1000,1,132123);
insert into reduction values(2,'北京直飞泰国','shop/bt_02_1.jpg','北京直飞泰国清迈7天往返含税机票',2930,2379,1000,2,231321);
insert into reduction values(3,'南京直飞普吉岛','shop/np_03_1.jpg','南京直飞普吉岛7天往返机票',2930,980,1000,3,2351236);
insert into reduction values(4,'上海直飞北海道','shop/sb_04_1.jpg','上海直飞北海道5-7天往返含税机票(可选1晚酒店住宿套餐+早去午回航班)',2930,999,1000,4,1325361);
insert into reduction values(5,'天津直飞日本大阪','shop/sb_04_1.jpg','[圣诞]天津直飞日本大阪/东京/名古屋/冲绳/北海道4-7天往返含税机票(多航司甩尾机票)',2900,1099,1000,5,1325361);
insert into reduction_img values (1,"shop/bz_01_1.jpg");
insert into reduction_img values (1,"shop/bz_01_2.jpg");
insert into reduction_img values (1,"shop/bz_01_3.jpg");
insert into reduction_img values (2,"shop/bt_02_1.jpg");
insert into reduction_img values (2,"shop/bt_02_2.jpg");
insert into reduction_img values (2,"shop/bt_02_3.jpg");
insert into reduction_img values (3,"shop/np_03_1.jpg");
insert into reduction_img values (3,"shop/np_03_2.jpg");
insert into reduction_img values (3,"shop/np_03_3.jpg");
insert into reduction_img values (4,"shop/sb_04_1.jpg");
insert into reduction_img values (4,"shop/sb_04_2.jpg");
insert into reduction_img values (4,"shop/sb_04_3.jpg");
INSERT INTO travel VALUES(null,'罗马胡同','--当地人带你领略罗马人千年历史',348,71153,1553,10,'怀旧时光','罗马1',1,'travel/luoma.jpg');
INSERT INTO travel VALUES(null,'罗马胡同','--当地人带你领略罗马人千年历史',348,71153,1553,2,'怀旧时光','罗马2',1,'travel/luoma.jpg');
INSERT INTO travel VALUES(null,'罗马胡同','--当地人带你领略罗马人千年历史',348,71153,1553,3,'怀旧时光','罗马3',1,'travel/luoma.jpg');
INSERT INTO travel VALUES(null,'罗马胡同','--当地人带你领略罗马人千年历史',348,71153,1553,4,'怀旧时光','罗马4',1,'travel/luoma.jpg');
INSERT INTO travel VALUES(null,'罗马胡同','--当地人带你领略罗马人千年历史',348,71153,1553,5,'怀旧时光','罗马5',1,'travel/luoma.jpg');
INSERT INTO travel VALUES(null,'克姆林宫','--当地人带你领略俄罗斯人千年历史',348,71153,1553,10,'俯瞰城市','俄罗斯10',1,'travel/eluosi.jpg');
INSERT INTO travel VALUES(null,'克姆林宫','--当地人带你领略俄罗斯人千年历史',348,71153,1553,3,'俯瞰城市','俄罗斯3',1,'travel/eluosi.jpg');
INSERT INTO travel VALUES(null,'克姆林宫','--当地人带你领略俄罗斯人千年历史',348,71153,1553,4,'俯瞰城市','俄罗斯4',1,'travel/eluosi.jpg');
INSERT INTO travel VALUES(null,'克姆林宫','--当地人带你领略俄罗斯人千年历史',348,71153,1553,5,'俯瞰城市','俄罗斯5',1,'travel/eluosi.jpg');
INSERT INTO travel VALUES(null,'克姆林宫','--当地人带你领略俄罗斯人千年历史',348,71153,1553,6,'俯瞰城市','俄罗斯6',1,'travel/eluosi.jpg');
INSERT INTO travel VALUES(null,'少女峰','--当地人带你领略瑞士人千年历史',348,71153,1553,10,'俯瞰城市','瑞士10',1,'travel/ruishi.jpg');
INSERT INTO travel VALUES(null,'少女峰','--当地人带你领略瑞士人千年历史',348,71153,1553,10,'俯瞰城市','瑞士6',1,'travel/ruishi.jpg');
|
--
DEF cs_snap_id_from = '';
DEF cs_snap_id_to = '';
COL cs_snap_id_from NEW_V cs_snap_id_from NOPRI;
COL cs_snap_id_to NEW_V cs_snap_id_to NOPRI;
--
SELECT TO_CHAR(snap_id) cs_snap_id_from
FROM dba_hist_snapshot
WHERE dbid = TO_NUMBER('&&cs_dbid.')
AND instance_number = TO_NUMBER('&&cs_instance_number.')
--AND TO_TIMESTAMP('&&cs_sample_time_from.', '&&cs_datetime_full_format.') BETWEEN begin_interval_time AND end_interval_time
AND CAST(begin_interval_time AS DATE) <= TO_DATE('&&cs_sample_time_from.', '&&cs_datetime_full_format.')
AND CAST(end_interval_time AS DATE) > TO_DATE('&&cs_sample_time_from.', '&&cs_datetime_full_format.')
AND begin_interval_time <> startup_time -- filter out bogus data
AND end_interval_time <> startup_time -- filter out bogus data
/
SELECT TO_CHAR(snap_id) cs_snap_id_to
FROM dba_hist_snapshot
WHERE dbid = TO_NUMBER('&&cs_dbid.')
AND instance_number = TO_NUMBER('&&cs_instance_number.')
--AND TO_TIMESTAMP('&&cs_sample_time_to.', '&&cs_datetime_full_format.') BETWEEN begin_interval_time AND end_interval_time
AND CAST(begin_interval_time AS DATE) < TO_DATE('&&cs_sample_time_to.', '&&cs_datetime_full_format.')
AND CAST(end_interval_time AS DATE) >= TO_DATE('&&cs_sample_time_to.', '&&cs_datetime_full_format.')
AND begin_interval_time <> startup_time -- filter out bogus data
AND end_interval_time <> startup_time -- filter out bogus data
/
SELECT COALESCE('&&cs_snap_id_from.', TO_CHAR(MIN(snap_id))) AS cs_snap_id_from,
COALESCE('&&cs_snap_id_to.', TO_CHAR(MAX(snap_id))) AS cs_snap_id_to
FROM dba_hist_snapshot
WHERE dbid = TO_NUMBER('&&cs_dbid.')
AND instance_number = TO_NUMBER('&&cs_instance_number.')
AND begin_interval_time <> startup_time -- filter out bogus data
AND end_interval_time <> startup_time -- filter out bogus data
/
--
DEF cs_begin_date_from = '&&cs_sample_time_from.';
DEF cs_end_date_to = '&&cs_sample_time_to.';
COL cs_begin_date_from NEW_V cs_begin_date_from NOPRI;
COL cs_end_date_to NEW_V cs_end_date_to NOPRI;
--
SELECT TO_CHAR(begin_interval_time, '&&cs_datetime_full_format.') cs_begin_date_from
FROM dba_hist_snapshot
WHERE dbid = TO_NUMBER('&&cs_dbid.')
AND instance_number = TO_NUMBER('&&cs_instance_number.')
AND snap_id = TO_NUMBER('&&cs_snap_id_from.')
/
SELECT TO_CHAR(end_interval_time, '&&cs_datetime_full_format.') cs_end_date_to
FROM dba_hist_snapshot
WHERE dbid = TO_NUMBER('&&cs_dbid.')
AND instance_number = TO_NUMBER('&&cs_instance_number.')
AND snap_id = TO_NUMBER('&&cs_snap_id_to.')
/
--
COL cs_begin_end_seconds NEW_V cs_begin_end_seconds NOPRI;
SELECT (TO_DATE('&&cs_end_date_to.', '&&cs_datetime_full_format.') - TO_DATE('&&cs_begin_date_from.', '&&cs_datetime_full_format.')) * 24 * 3600 cs_begin_end_seconds FROM DUAL
/
--
COL cs_from_to_seconds NEW_V cs_from_to_seconds NOPRI;
SELECT (TO_DATE('&&cs_sample_time_to.', '&&cs_datetime_full_format.') - TO_DATE('&&cs_sample_time_from.', '&&cs_datetime_full_format.')) * 24 * 3600 cs_from_to_seconds FROM DUAL
/
--
|
CREATE OR REPLACE PROCEDURE sp_scalecqt_infospot_resolve
(
inAnalysePeriodDatetime in date
)
IS
--runBeginTime date := SYSDATE;
abnormalgridCategory2g varchar2(128) := '2G异常栅格';
abnormalgridCategory3g varchar2(128) := '3G异常栅格';
abnormalgridCategory2g3g varchar2(128) := '2G/3G异常栅格';
netTechnology2g varchar2(2) := '2G';
netTechnology3g varchar2(2) := '3G';
--该信息点为异常栅格关联的信息点
--infospotSourceFlagOfRelated number := 1;
--异常栅格周边一层栅格关联的信息点
--infospotSourceFlagOfLayerGrid number := 2;
--异常栅格中心经纬度附近的信息点
--infospotSourceFlagOfNearby number := 3;
--异常栅格无信息点，辅助一层栅格信息点进行后续判断，tap_scalecqt_infospot.infospot_source_flag = 2，tap_scalecqt_infospot.infospot_source_flag = 3；（初始步骤）
--infospotFlag0 number := 0;
--异常栅格无信息点，辅助的一层栅格也无信息点，直接按栅格派单；（初始步骤，条件infospot_flag = 0）
--infospotFlag1 number := 1;
--异常栅格有信息点，后续做正常判断，tap_scalecqt_infospot.infospot_source_flag = 1；（初始步骤）
--infospotFlag2 number := 2;
--异常栅格有信息点，但无问题信息点，辅助一层栅格信息点进行后续判断，tap_scalecqt_infospot.infospot_source_flag = 2，tap_scalecqt_infospot.infospot_source_flag = 3；（第二圈，条件infospot_flag = 2）
--infospotFlag3 number := 3;
--异常栅格有信息点，但无问题信息点，辅助一层栅格也无信息点；（第二圈，条件infospot_flag = 2）
--infospotFlag4 number := 4;
--异常栅格中心经纬度距离最近的TOP N（TODO：从配置中读取）
--topNOfNearby number := 10;
problemCategory0 varchar2(128) := '信息点异常，室分直放站异常';
problemCategory1 varchar2(128) := '信息点异常，信源小区异常';
problemCategory2 varchar2(128) := '信息点异常，历史测试差，不在质量库';
problemCategory3 varchar2(128) := '信息点异常，提升已有室分规划等级';
problemCategory4 varchar2(128) := '信息点异常，提升已有宏站规划等级';
problemCategory5 varchar2(128) := '信息点异常，已在质量问题库，无规划';
problemCategory6 varchar2(128) := '信息点异常，周边基站异常';
--problemCategory7 varchar2(128) := '无信息点，栅格异常';
problemCategory8 varchar2(128) := '信息点异常，规划级别已是最大值，无需提升';
--2G异常小区类型
abnormalCellCategory2g varchar2(200);
--3G异常小区类型
abnormalCellCategory3g varchar2(200);
--信源小区的输出
signalSourceCellResult1 varchar2(128) := '该信息点室分信源小区性能异常，已通过异常小区派单，规模CQT不再重复派单';
signalSourceCellResult2 varchar2(128) := '该信息点室分信源小区性能异常，异常小区未派单，规模CQT按小区派单';
--周边基站小区的输出
nearbyCellResult1 varchar2(128) := '该信息点周边基站小区性能异常，已通过异常小区派单，规模CQT不再重复派单';
nearbyCellResult2 varchar2(128) := '该信息点周边基站小区性能异常，异常小区未派单，规模CQT按小区派单';
--异常小区的工单源
woSourceOfAbnormalCell number := 2;
--工单的结单状态
woStatusOfFinish number := 4;
--派单对象
dispatchObjectOfCell varchar2(20) := 'Cell';
dispatchObjectOfInfoSpot varchar2(20) := 'InfoSpot';
--测试结果-差
testResultOfPoor varchar2(20) := '差';
--室分规划的 M 天 N 次（TODO：从配置中读取）
surveyIndoorDays number := 90;
surveyIndoorTimes number := 0;
--宏站规划的 M 天 N 次（TODO：从配置中读取）
surveyBtsDays number := 90;
surveyBtsTimes number := 0;
--周边基站的个数，默认是4
btsNumberOfNearby number := 4;
yes varchar2(1) := 'Y';
no varchar2(1) := 'N';
BEGIN
--4.1 信息点有室分
UPDATE tap_scalecqt_infospot
SET(indoor_id, indoor_code, is_has_indoor, ss_cell_id, ss_cell_name,repeater_code) =
(
SELECT indoor.int_id,
indoor.indds_code,
yes,
indoor.related_cell,
cell.name,
indoor.reserve_field_1
FROM c_tco_pro_indoors indoor
INNER JOIN c_tco_pro_cell cell ON indoor.related_cell = cell.int_id
WHERE tap_scalecqt_infospot.related_indoor_code = indoor.indds_code
)
WHERE id IN
(
SELECT id
FROM tap_scalecqt_infospot_cache
WHERE analyse_period_datetime = inAnalysePeriodDatetime
);
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 101, sysdate);
commit; --add by maojun 调试
--4.2 利用异常栅格的打分时间，初始化信源小区的时间点
INSERT INTO tap_scalecqt_cell_cache
(
analyse_period_datetime,
net_technology,
scalecqt_abnormalgrid_id,
scalecqt_infospot_id,
scalecqt_cell_id,
cell_id,
analyse_datetime
)
SELECT g.analyse_period_datetime,
gd.net_technology,
g.id AS scalecqt_abnormalgrid_id,
infospot.id AS scalecqt_infospot_id,
NULL AS scalecqt_cell_id,
infospot.ss_cell_id,
gd.analyse_datetime
FROM tap_scalecqt_abnormalgrid g
INNER JOIN tap_scalecqt_infospot infospot ON g.id = infospot.scalecqt_abnormalgrid_id
INNER JOIN tap_scalecqt_infospot_cache scic ON infospot.id = scic.id
AND scic.analyse_period_datetime = inAnalysePeriodDatetime
INNER JOIN tap_scalecqt_grid_detail gd ON g.id = gd.scalecqt_abnormalgrid_id
WHERE g.analyse_period_datetime = inAnalysePeriodDatetime
AND infospot.is_has_indoor = yes
AND infospot.ss_cell_id IS NOT NULL
UNION
SELECT g2.analyse_period_datetime,
gd.net_technology,
g.id AS scalecqt_abnormalgrid_id,
infospot.id AS scalecqt_infospot_id,
NULL AS scalecqt_cell_id,
infospot.ss_cell_id,
gd.analyse_datetime
FROM tap_scalecqt_abnormalgrid g
INNER JOIN tap_scalecqt_abnormalgrid g2 ON g.parent_id = g2.id
INNER JOIN tap_scalecqt_infospot infospot ON g.id = infospot.scalecqt_abnormalgrid_id
INNER JOIN tap_scalecqt_infospot_cache scic ON infospot.id = scic.id
AND scic.analyse_period_datetime = inAnalysePeriodDatetime
INNER JOIN tap_scalecqt_grid_detail gd ON g2.id = gd.scalecqt_abnormalgrid_id
WHERE g2.analyse_period_datetime = inAnalysePeriodDatetime
AND infospot.is_has_indoor = yes
AND infospot.ss_cell_id IS NOT NULL;
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 102, sysdate);
commit; --add by maojun 调试
--4.3 初始胡2G异常小区的时间点
--2G异常小区类型
SELECT config_content
INTO abnormalCellCategory2g
FROM tap_cqt_config_performance
WHERE config_type = 'AbPlotType_2G';
INSERT INTO tap_scalecqt_abcell_cache
(
analyse_period_datetime,
net_technology,
scalecqt_abnormalgrid_id,
scalecqt_infospot_id,
scalecqt_cell_id,
cell_id,
analyse_datetime,
rule_id,
abnormalcell_category,
abnormalcell_level,
repeat_num,
abnormalcell_threshold
)
SELECT cc.analyse_period_datetime,
cc.net_technology,
cc.scalecqt_abnormalgrid_id,
cc.scalecqt_infospot_id,
cc.scalecqt_cell_id,
ac.int_id AS cell_id,
ac.scan_start_time AS analyse_datetime,
ac.rule_id,
ac.result_name AS abnormalcell_category,
ac.alarm_grade AS abnormalcell_level,
ac.re_num AS repeat_num,
ac.scenes AS abnormalcell_threshold
FROM tap_scalecqt_cell_cache cc
INNER JOIN tap_scalecqt_abcell ac ON cc.analyse_datetime = ac.scan_start_time AND cc.cell_id = ac.int_id
WHERE cc.analyse_period_datetime = inAnalysePeriodDatetime
AND cc.net_technology = netTechnology2g
AND ac.result_name IN
(
SELECT column_value
FROM TABLE(f_wf_split(abnormalCellCategory2g, ','))
);
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 103, sysdate);
commit; --add by maojun 调试
--4.4 初始胡3G异常小区的时间点
--3G异常小区类型
SELECT config_content
INTO abnormalCellCategory3g
FROM tap_cqt_config_performance
WHERE config_type = 'AbPlotType_3G';
INSERT INTO tap_scalecqt_abcell_cache
(
analyse_period_datetime,
net_technology,
scalecqt_abnormalgrid_id,
scalecqt_infospot_id,
scalecqt_cell_id,
cell_id,
analyse_datetime,
rule_id,
abnormalcell_category,
abnormalcell_level,
repeat_num,
abnormalcell_threshold
)
SELECT cc.analyse_period_datetime,
cc.net_technology,
cc.scalecqt_abnormalgrid_id,
cc.scalecqt_infospot_id,
cc.scalecqt_cell_id,
ac.int_id AS cell_id,
ac.scan_start_time AS analyse_datetime,
ac.rule_id,
ac.result_name AS abnormalcell_category,
ac.alarm_grade AS abnormalcell_level,
ac.re_num AS repeat_num,
ac.scenes AS abnormalcell_threshold
FROM tap_scalecqt_cell_cache cc
INNER JOIN tap_scalecqt_abcell ac ON cc.analyse_datetime = ac.scan_start_time AND cc.cell_id = ac.int_id
WHERE cc.analyse_period_datetime = inAnalysePeriodDatetime
AND cc.net_technology = netTechnology3g
AND ac.result_name IN
(
SELECT column_value
FROM TABLE(f_wf_split(abnormalCellCategory3g, ','))
);
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 104, sysdate);
commit; --add by maojun 调试
--4.5 初始化信源小区的异常门限
INSERT INTO tap_scalecqt_cellthreshold
(
id,
scalecqt_infospot_id,
scalecqt_cell_id,
analyse_datetime,
rule_id,
abnormalcell_category,
abnormalcell_level,
repeat_num,
abnormalcell_threshold
)
SELECT SYS_GUID() AS id,
t3.scalecqt_infospot_id,
abc.scalecqt_cell_id,
abc.analyse_datetime,
abc.rule_id,
abc.abnormalcell_category,
abc.abnormalcell_level,
abc.repeat_num,
abc.abnormalcell_threshold
FROM tap_scalecqt_abcell_cache abc
INNER JOIN
(
SELECT t1.analyse_period_datetime, t1.net_technology, t1.scalecqt_abnormalgrid_id, t1.scalecqt_infospot_id, t1.scalecqt_cell_id, t1.cell_id
FROM
(
SELECT cc.analyse_period_datetime, cc.net_technology, cc.scalecqt_abnormalgrid_id, cc.scalecqt_infospot_id, cc.scalecqt_cell_id, cc.cell_id, count(analyse_datetime) count
FROM tap_scalecqt_cell_cache cc
WHERE cc.analyse_period_datetime = inAnalysePeriodDatetime
GROUP BY cc.analyse_period_datetime, cc.net_technology, cc.scalecqt_abnormalgrid_id, cc.scalecqt_infospot_id, cc.scalecqt_cell_id, cc.cell_id
) t1
INNER JOIN
(
SELECT acc.analyse_period_datetime, acc.net_technology, acc.scalecqt_abnormalgrid_id, acc.scalecqt_infospot_id, acc.scalecqt_cell_id, acc.cell_id, count(analyse_datetime) count
FROM tap_scalecqt_abcell_cache acc
WHERE acc.analyse_period_datetime = inAnalysePeriodDatetime
GROUP BY acc.analyse_period_datetime, acc.net_technology, acc.scalecqt_abnormalgrid_id, acc.scalecqt_infospot_id, acc.scalecqt_cell_id, acc.cell_id
) t2 ON t1.analyse_period_datetime = t2.analyse_period_datetime
AND t1.net_technology = t2.net_technology
AND t1.scalecqt_abnormalgrid_id = t2.scalecqt_abnormalgrid_id
AND t1.scalecqt_infospot_id = t2.scalecqt_infospot_id
AND t1.scalecqt_cell_id = t2.scalecqt_cell_id
AND t1.cell_id = t2.cell_id
AND t1.count = t2.count
) t3 ON abc.analyse_period_datetime = t3.analyse_period_datetime
AND abc.net_technology = t3.net_technology
AND abc.scalecqt_abnormalgrid_id = t3.scalecqt_abnormalgrid_id
AND abc.scalecqt_infospot_id = t3.scalecqt_infospot_id
AND abc.scalecqt_cell_id = t3.scalecqt_cell_id
AND abc.cell_id = t3.cell_id;
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 105, sysdate);
commit; --add by maojun 调试
DELETE FROM tap_scalecqt_cell_cache
WHERE analyse_period_datetime = inAnalysePeriodDatetime;
DELETE FROM tap_scalecqt_abcell_cache
WHERE analyse_period_datetime = inAnalysePeriodDatetime;
--4.6 标记信息点的信源小区是否正常，is_over_abnormalcell_threshold = 'Y'为不正常
UPDATE tap_scalecqt_infospot
SET is_over_abnormalcell_threshold = yes
WHERE id IN
(
SELECT id
FROM tap_scalecqt_infospot_cache
WHERE analyse_period_datetime = inAnalysePeriodDatetime
)
--AND is_has_indoor = yes，待测试
AND is_has_indoor = yes
AND EXISTS
(
SELECT 1
FROM tap_scalecqt_cellthreshold
WHERE tap_scalecqt_infospot.id = scalecqt_infospot_id
);
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 106, sysdate);
commit; --add by maojun 调试
--add by moajun 增加直放站判断
UPDATE tap_scalecqt_infospot k
SET result='室分直放站异常',
problem_category = problemCategory0,
is_need_dispatch_wo = yes
WHERE id IN
(
SELECT id
FROM tap_scalecqt_infospot_cache
WHERE analyse_period_datetime = inAnalysePeriodDatetime
)
AND k.repeater_code is not NULL
AND EXISTS
(
select 1 from TY_ALARMHISTORY A
JOIN TY_NE_ZFZ B ON A.NE_ID = B.NE_ID
where A.objclass = 'ZFZ'
AND B.ZFZ_ID = K.repeater_code
AND STARTTIME > trunc(inAnalysePeriodDatetime - 3)
AND STARTTIME <= inAnalysePeriodDatetime
AND to_number(TO_CHAR(STARTTIME,'hh24')) >=9
AND to_number(TO_CHAR(STARTTIME,'hh24')) <22
);
--4.7 对信息点的异常信源小区派单――不重复派单
UPDATE tap_scalecqt_infospot
SET result = signalSourceCellResult1,
problem_category = problemCategory1
WHERE id IN
(
SELECT id
FROM tap_scalecqt_infospot_cache
WHERE analyse_period_datetime = inAnalysePeriodDatetime
)
AND is_over_abnormalcell_threshold = yes
AND EXISTS
(
SELECT 1
FROM tap_wo wo
INNER JOIN tap_wo_baseinfo wob ON wo.id = wob.id
WHERE tap_scalecqt_infospot.ss_cell_id = wo.ne_id
AND wo.wo_source = woSourceOfAbnormalCell
AND wob.wo_status <> woStatusOfFinish
);
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 107, sysdate);
commit; --add by maojun 调试
--4.8 对信息点的异常信源小区派单
UPDATE tap_scalecqt_infospot
SET result = signalSourceCellResult2,
problem_category = problemCategory1,
is_need_dispatch_wo = yes,
dispatch_object = dispatchObjectOfCell
WHERE id IN
(
SELECT id
FROM tap_scalecqt_infospot_cache
WHERE analyse_period_datetime = inAnalysePeriodDatetime
)
AND is_over_abnormalcell_threshold = yes
AND NOT EXISTS
(
SELECT 1
FROM tap_wo wo
INNER JOIN tap_wo_baseinfo wob ON wo.id = wob.id
WHERE tap_scalecqt_infospot.ss_cell_id = wo.ne_id
AND wo.wo_source = woSourceOfAbnormalCell
AND wob.wo_status <> woStatusOfFinish
);
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 108, sysdate);
commit; --add by maojun 调试
--5 信息点历史测试结果判断
--5.1 初始化无室分和信源小区正常的信息点
INSERT INTO tap_scalecqt_tt_infospot_cache
(
analyse_period_datetime,
id,
net_technology,
test_result
)
--2G
SELECT g.analyse_period_datetime, sci.id, netTechnology2g,
CASE WHEN sci.signal2g = testResultOfPoor THEN testResultOfPoor END AS test_result
FROM tap_scalecqt_abnormalgrid g
INNER JOIN tap_scalecqt_infospot sci ON g.id = sci.scalecqt_abnormalgrid_id
INNER JOIN tap_scalecqt_infospot_cache scic ON sci.id = scic.id AND scic.analyse_period_datetime = inAnalysePeriodDatetime
WHERE g.analyse_period_datetime = inAnalysePeriodDatetime
AND (sci.is_has_indoor IS NULL OR (sci.is_has_indoor = yes AND sci.is_over_abnormalcell_threshold IS NULL))
AND g.abnormalgrid_category IN(abnormalgridCategory2g, abnormalgridCategory2g3g)
UNION
--2G
SELECT g2.analyse_period_datetime, sci.id, netTechnology2g,
CASE WHEN sci.signal2g = testResultOfPoor THEN testResultOfPoor END AS test_result
FROM tap_scalecqt_abnormalgrid g
INNER JOIN tap_scalecqt_abnormalgrid g2 ON g.parent_id = g2.id
INNER JOIN tap_scalecqt_infospot sci ON g.id = sci.scalecqt_abnormalgrid_id
INNER JOIN tap_scalecqt_infospot_cache scic ON sci.id = scic.id AND scic.analyse_period_datetime = inAnalysePeriodDatetime
WHERE g2.analyse_period_datetime = inAnalysePeriodDatetime
AND (sci.is_has_indoor IS NULL OR (sci.is_has_indoor = yes AND sci.is_over_abnormalcell_threshold IS NULL))
AND g2.abnormalgrid_category IN(abnormalgridCategory2g, abnormalgridCategory2g3g)
UNION
--3G
SELECT g.analyse_period_datetime, sci.id, netTechnology3g,
CASE WHEN sci.signal3g = testResultOfPoor THEN testResultOfPoor END AS test_result
FROM tap_scalecqt_abnormalgrid g
INNER JOIN tap_scalecqt_infospot sci ON g.id = sci.scalecqt_abnormalgrid_id
INNER JOIN tap_scalecqt_infospot_cache scic ON sci.id = scic.id AND scic.analyse_period_datetime = inAnalysePeriodDatetime
WHERE g.analyse_period_datetime = inAnalysePeriodDatetime
AND (sci.is_has_indoor IS NULL OR (sci.is_has_indoor = yes AND sci.is_over_abnormalcell_threshold IS NULL))
AND g.abnormalgrid_category IN(abnormalgridCategory3g, abnormalgridCategory2g3g)
UNION
--3G
SELECT g2.analyse_period_datetime, sci.id, netTechnology3g,
CASE WHEN sci.signal3g = testResultOfPoor THEN testResultOfPoor END AS test_result
FROM tap_scalecqt_abnormalgrid g
INNER JOIN tap_scalecqt_abnormalgrid g2 ON g.parent_id = g2.id
INNER JOIN tap_scalecqt_infospot sci ON g.id = sci.scalecqt_abnormalgrid_id
INNER JOIN tap_scalecqt_infospot_cache scic ON sci.id = scic.id AND scic.analyse_period_datetime = inAnalysePeriodDatetime
WHERE g2.analyse_period_datetime = inAnalysePeriodDatetime
AND (sci.is_has_indoor IS NULL OR (sci.is_has_indoor = yes AND sci.is_over_abnormalcell_threshold IS NULL))
AND g2.abnormalgrid_category IN(abnormalgridCategory3g, abnormalgridCategory2g3g);
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 109, sysdate);
commit; --add by maojun 调试
--5.2 test_result = '差'，判断信息点是否在质量问题库
UPDATE tap_scalecqt_infospot
SET(is_in_wqp_lib, wqp_lib_id, c_solved_date) =
(
SELECT CASE WHEN wqp_lib.related_inforspot IS NULL THEN '否' ELSE '是' END AS is_in_wqp_lib,
wqp_lib.mark_id AS wqp_lib_id,
wqp_lib.c_solved_date
FROM tap_scalecqt_tt_infospot_cache scic
LEFT JOIN tap_scalecqt_infospot sci ON scic.id = sci.id
LEFT JOIN c_tco_pro_cover_benchmark wqp_lib ON sci.infospot_id = wqp_lib.related_inforspot
WHERE scic.analyse_period_datetime = inAnalysePeriodDatetime
AND scic.test_result = testResultOfPoor
AND tap_scalecqt_infospot.id = sci.id
)
WHERE id IN
(
SELECT id
FROM tap_scalecqt_tt_infospot_cache
WHERE analyse_period_datetime = inAnalysePeriodDatetime
AND test_result = testResultOfPoor
);
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 110, sysdate);
commit; --add by maojun 调试
--5.3 不在质量问题库的按信息点派单
UPDATE tap_scalecqt_infospot
--SET problem_category = problemCategory3, modify by maojun 20141107
SET problem_category = problemCategory2,
is_need_dispatch_wo = yes,
dispatch_object = dispatchObjectOfInfoSpot
WHERE id IN
(
SELECT scic.id
FROM tap_scalecqt_tt_infospot_cache scic
INNER JOIN tap_scalecqt_infospot sci ON scic.id = sci.id
WHERE scic.analyse_period_datetime = inAnalysePeriodDatetime
AND scic.test_result = testResultOfPoor
AND sci.is_in_wqp_lib = '否'
);
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 111, sysdate);
commit; --add by maojun 调试
--5.4 在质量问题库，但质量问题未解决，有室分规划
UPDATE tap_scalecqt_infospot
SET(indoor_adjustscheme_category, indoor_adjustscheme_code,
survey_indoor_id, survey_indoor_code, survey_indoor_name, is_has_survey_indoor, indoor_level_before_adjust) =
(
SELECT wqp_lib.indoor_adjust_type AS indoor_adjustscheme_category,
wqp_lib.room_adjust_scheme AS indoor_adjustscheme_code,
survey_indoor.mark_id AS survey_indoor_id,
survey_indoor.probtsid AS survey_indoor_code,
survey_indoor.indoor_num AS survey_indoor_name,
CASE WHEN survey_indoor.mark_id IS NOT NULL THEN 'Y' ELSE 'N' END AS is_has_survey_indoor,
survey_indoor.indoor_level AS indoor_level_before_adjust
FROM tap_scalecqt_tt_infospot_cache scic
INNER JOIN tap_scalecqt_infospot sci ON scic.id = sci.id
LEFT JOIN c_tco_pro_cover_benchmark wqp_lib ON sci.infospot_id = wqp_lib.related_inforspot
AND wqp_lib.indoor_adjust_type = '已规划'
LEFT JOIN c_tco_pro_survey_indoor survey_indoor ON wqp_lib.room_adjust_scheme = survey_indoor.probtsid
WHERE scic.analyse_period_datetime = inAnalysePeriodDatetime
AND scic.test_result = testResultOfPoor
AND sci.is_in_wqp_lib = '是'
AND sci.c_solved_date IS NULL
AND tap_scalecqt_infospot.id = sci.id
)
WHERE id IN
(
SELECT sci.id
FROM tap_scalecqt_tt_infospot_cache scic
INNER JOIN tap_scalecqt_infospot sci ON scic.id = sci.id
WHERE scic.analyse_period_datetime = inAnalysePeriodDatetime
AND scic.test_result = testResultOfPoor
AND sci.is_in_wqp_lib = '是'
AND sci.c_solved_date IS NULL
);
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 112, sysdate);
commit; --add by maojun 调试
--5.5 在质量问题库，但质量问题未解决，有室分规划，提升规划级别
--TODO：相同的代码块2
UPDATE c_tco_pro_survey_indoor
SET indoor_level = 'C'
WHERE mark_id IN
(
SELECT sci.survey_indoor_id
FROM tap_scalecqt_tt_infospot_cache scic
INNER JOIN tap_scalecqt_infospot sci ON scic.id = sci.id
WHERE scic.analyse_period_datetime = inAnalysePeriodDatetime
AND scic.test_result = testResultOfPoor
AND sci.is_in_wqp_lib = '是'
AND sci.c_solved_date IS NULL
AND sci.is_has_survey_indoor = yes
)
AND EXISTS
(
SELECT 1
FROM tap_scalecqt_infospot sci2
INNER JOIN tap_scalecqt_abnormalgrid ag ON sci2.scalecqt_abnormalgrid_id = ag.id
WHERE c_tco_pro_survey_indoor.mark_id = sci2.survey_indoor_id
AND ag.analyse_period_datetime >= SYSDATE - surveyIndoorDays AND ag.analyse_period_datetime <= SYSDATE
GROUP BY sci2.id
HAVING COUNT(sci2.id) >= surveyIndoorTimes
)
AND indoor_level = 'B';
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 113, sysdate);
commit; --add by maojun 调试
--TODO：相同的代码块2
UPDATE c_tco_pro_survey_indoor
SET indoor_level = 'B'
WHERE mark_id IN
(
SELECT sci.survey_indoor_id
FROM tap_scalecqt_tt_infospot_cache scic
INNER JOIN tap_scalecqt_infospot sci ON scic.id = sci.id
WHERE scic.analyse_period_datetime = inAnalysePeriodDatetime
AND scic.test_result = testResultOfPoor
AND sci.is_in_wqp_lib = '是'
AND sci.c_solved_date IS NULL
AND sci.is_has_survey_indoor = yes
)
AND EXISTS
(
SELECT 1
FROM tap_scalecqt_infospot sci2
INNER JOIN tap_scalecqt_abnormalgrid ag ON sci2.scalecqt_abnormalgrid_id = ag.id
WHERE c_tco_pro_survey_indoor.mark_id = sci2.survey_indoor_id
AND ag.analyse_period_datetime >= SYSDATE - surveyIndoorDays AND ag.analyse_period_datetime <= SYSDATE
GROUP BY sci2.id
HAVING COUNT(sci2.id) >= surveyIndoorTimes
)
AND indoor_level = 'A';
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 114, sysdate);
commit; --add by maojun 调试
--5.6 修改problem_category，信息点异常，提升规划级别
UPDATE tap_scalecqt_infospot
--SET problem_category = problemCategory5, modify by maojun 20141107
SET problem_category = problemCategory3,
indoor_level = CASE
WHEN indoor_level_before_adjust = 'A' THEN 'B'
WHEN indoor_level_before_adjust = 'B' THEN 'C'
END
WHERE id IN
(
SELECT sci.id
FROM tap_scalecqt_tt_infospot_cache scic
INNER JOIN tap_scalecqt_infospot sci ON scic.id = sci.id
WHERE scic.analyse_period_datetime = inAnalysePeriodDatetime
AND scic.test_result = testResultOfPoor
AND sci.is_in_wqp_lib = '是'
AND sci.c_solved_date IS NULL
AND sci.is_has_survey_indoor = yes
)
AND EXISTS
(
SELECT 1
FROM tap_scalecqt_infospot sci2
INNER JOIN tap_scalecqt_abnormalgrid ag ON sci2.scalecqt_abnormalgrid_id = ag.id
INNER JOIN c_tco_pro_survey_indoor survey_indoor ON sci2.survey_indoor_id = survey_indoor.mark_id
WHERE tap_scalecqt_infospot.scalecqt_abnormalgrid_id = ag.id
AND ag.analyse_period_datetime >= SYSDATE - surveyIndoorDays AND ag.analyse_period_datetime <= SYSDATE
GROUP BY sci2.id
HAVING COUNT(sci2.id) >= surveyIndoorTimes
)
AND indoor_level_before_adjust IN('A', 'B');
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 115, sysdate);
commit; --add by maojun 调试
--5.7 修改problem_category，信息点异常，规划级别已是最大值，无需提升
UPDATE tap_scalecqt_infospot
SET problem_category = problemCategory8
WHERE id IN
(
SELECT sci.id
FROM tap_scalecqt_tt_infospot_cache scic
INNER JOIN tap_scalecqt_infospot sci ON scic.id = sci.id
WHERE scic.analyse_period_datetime = inAnalysePeriodDatetime
AND scic.test_result = testResultOfPoor
AND sci.is_in_wqp_lib = '是'
AND sci.c_solved_date IS NULL
AND sci.is_has_survey_indoor = yes
)
AND indoor_level_before_adjust = 'C';
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 116, sysdate);
commit; --add by maojun 调试
--5.8 修改problem_category，信息点异常，待提升规划级别
UPDATE tap_scalecqt_infospot
SET problem_category = problemCategory3
WHERE id IN
(
SELECT sci.id
FROM tap_scalecqt_tt_infospot_cache scic
INNER JOIN tap_scalecqt_infospot sci ON scic.id = sci.id
WHERE scic.analyse_period_datetime = inAnalysePeriodDatetime
AND scic.test_result = testResultOfPoor
AND sci.is_in_wqp_lib = '是'
AND sci.c_solved_date IS NULL
AND sci.is_has_survey_indoor = yes
)
AND NOT EXISTS
(
SELECT 1
FROM tap_scalecqt_infospot sci2
INNER JOIN tap_scalecqt_abnormalgrid ag ON sci2.scalecqt_abnormalgrid_id = ag.id
INNER JOIN c_tco_pro_survey_indoor survey_indoor ON sci2.survey_indoor_id = survey_indoor.mark_id
WHERE tap_scalecqt_infospot.scalecqt_abnormalgrid_id = ag.id
AND ag.analyse_period_datetime >= SYSDATE - surveyIndoorDays AND ag.analyse_period_datetime <= SYSDATE
GROUP BY sci2.id
HAVING COUNT(sci2.id) >= surveyIndoorTimes
)
AND indoor_level_before_adjust IN('A', 'B');
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 117, sysdate);
commit; --add by maojun 调试
--5.9 在质量问题库，但质量问题未解决，无室分规划
UPDATE tap_scalecqt_infospot
SET(bts_adjustscheme_category, bts_adjustscheme_code,
survey_bts_id, survey_bts_code, survey_bts_name, is_has_survey_bts, bts_priority_before_adjust) =
(
SELECT wqp_lib.adjust_scheme AS bts_adjustscheme_category,
wqp_lib.adjust_scheme_id AS bts_adjustscheme_code,
survey_bts.mark_id AS survey_bts_id,
survey_bts.probtsid AS survey_bts_code,
survey_bts.bts_name AS survey_bts_name,
CASE WHEN survey_bts.mark_id IS NOT NULL THEN 'Y' ELSE 'N' END AS is_has_survey_bts,
survey_bts.priority AS bts_priority_before_adjust
FROM tap_scalecqt_tt_infospot_cache scic
INNER JOIN tap_scalecqt_infospot sci ON scic.id = sci.id
LEFT JOIN c_tco_pro_cover_benchmark wqp_lib ON sci.infospot_id = wqp_lib.related_inforspot
AND wqp_lib.adjust_scheme = '已规划'
LEFT JOIN c_tco_pro_survey_bts survey_bts ON wqp_lib.adjust_scheme_id = survey_bts.probtsid
WHERE scic.analyse_period_datetime = inAnalysePeriodDatetime
AND scic.test_result = testResultOfPoor
AND sci.is_in_wqp_lib = '是'
AND sci.c_solved_date IS NULL
AND sci.is_has_survey_indoor = no
AND tap_scalecqt_infospot.id = sci.id
)
WHERE id IN
(
SELECT sci.id
FROM tap_scalecqt_tt_infospot_cache scic
INNER JOIN tap_scalecqt_infospot sci ON scic.id = sci.id
WHERE scic.analyse_period_datetime = inAnalysePeriodDatetime
AND scic.test_result = testResultOfPoor
AND sci.is_in_wqp_lib = '是'
AND sci.c_solved_date IS NULL
AND sci.is_has_survey_indoor = no
);
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 118, sysdate);
commit; --add by maojun 调试
--5.10 在质量问题库，但质量问题未解决，无室分规划，有宏站规划，提升规划级别
--TODO：相同的代码块3
UPDATE c_tco_pro_survey_bts
SET priority = 3
WHERE mark_id IN
(
SELECT sci.survey_bts_id
FROM tap_scalecqt_tt_infospot_cache scic
INNER JOIN tap_scalecqt_infospot sci ON scic.id = sci.id
WHERE scic.analyse_period_datetime = inAnalysePeriodDatetime
AND scic.test_result = testResultOfPoor
AND sci.is_in_wqp_lib = '是'
AND sci.c_solved_date IS NULL
AND sci.is_has_survey_indoor = no
AND sci.is_has_survey_bts = yes
)
AND EXISTS
(
SELECT 1
FROM tap_scalecqt_infospot sci2
INNER JOIN tap_scalecqt_abnormalgrid ag ON sci2.scalecqt_abnormalgrid_id = ag.id
WHERE c_tco_pro_survey_bts.mark_id = sci2.survey_bts_id
AND ag.analyse_period_datetime >= SYSDATE - surveyBtsDays AND ag.analyse_period_datetime <= SYSDATE
GROUP BY sci2.id
HAVING COUNT(sci2.id) >= surveyBtsTimes
)
AND priority = 2;
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 119, sysdate);
commit; --add by maojun 调试
--TODO：相同的代码块3
UPDATE c_tco_pro_survey_bts
SET priority = 2
WHERE mark_id IN
(
SELECT sci.survey_bts_id
FROM tap_scalecqt_tt_infospot_cache scic
INNER JOIN tap_scalecqt_infospot sci ON scic.id = sci.id
WHERE scic.analyse_period_datetime = inAnalysePeriodDatetime
AND scic.test_result = testResultOfPoor
AND sci.is_in_wqp_lib = '是'
AND sci.c_solved_date IS NULL
AND sci.is_has_survey_indoor = no
AND sci.is_has_survey_bts = yes
)
AND EXISTS
(
SELECT 1
FROM tap_scalecqt_infospot sci2
INNER JOIN tap_scalecqt_abnormalgrid ag ON sci2.scalecqt_abnormalgrid_id = ag.id
WHERE c_tco_pro_survey_bts.mark_id = sci2.survey_bts_id
AND ag.analyse_period_datetime >= SYSDATE - surveyBtsDays AND ag.analyse_period_datetime <= SYSDATE
GROUP BY sci2.id
HAVING COUNT(sci2.id) >= surveyBtsTimes
)
AND priority = 1;
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 120, sysdate);
commit; --add by maojun 调试
--5.11 修改problem_category，信息点异常，提升规划级别
UPDATE tap_scalecqt_infospot
SET problem_category = problemCategory4,
--SET problem_category = '信息点异常，提升已有宏站规划等级',
bts_priority = CASE
WHEN bts_priority_before_adjust = 1 THEN 2
WHEN bts_priority_before_adjust = 2 THEN 3
END
WHERE id IN
(
SELECT sci.id
FROM tap_scalecqt_tt_infospot_cache scic
INNER JOIN tap_scalecqt_infospot sci ON scic.id = sci.id
WHERE scic.analyse_period_datetime = inAnalysePeriodDatetime
AND scic.test_result = testResultOfPoor
AND sci.is_in_wqp_lib = '是'
AND sci.c_solved_date IS NULL
AND sci.is_has_survey_indoor = no
AND sci.is_has_survey_bts = yes
)
AND EXISTS
(
SELECT 1
FROM tap_scalecqt_infospot sci2
INNER JOIN tap_scalecqt_abnormalgrid ag ON sci2.scalecqt_abnormalgrid_id = ag.id
INNER JOIN c_tco_pro_survey_bts survey_bts ON sci2.survey_bts_id = survey_bts.mark_id
WHERE tap_scalecqt_infospot.scalecqt_abnormalgrid_id = ag.id
AND ag.analyse_period_datetime >= SYSDATE - surveyBtsDays AND ag.analyse_period_datetime <= SYSDATE
GROUP BY sci2.id
HAVING COUNT(sci2.id) >= surveyBtsTimes
)
AND bts_priority_before_adjust IN(1, 2);
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 121, sysdate);
commit; --add by maojun 调试
--5.12 修改problem_category，信息点异常，规划级别已是最大值，无需提升
UPDATE tap_scalecqt_infospot
SET problem_category = problemCategory4 --modify by maojun 待确认 2014-11-07
--SET problem_category = '信息点异常，提升已有宏站规划等级'
WHERE id IN
(
SELECT sci.id
FROM tap_scalecqt_tt_infospot_cache scic
INNER JOIN tap_scalecqt_infospot sci ON scic.id = sci.id
WHERE scic.analyse_period_datetime = inAnalysePeriodDatetime
AND scic.test_result = testResultOfPoor
AND sci.is_in_wqp_lib = '是'
AND sci.c_solved_date IS NULL
AND sci.is_has_survey_indoor = no
AND sci.is_has_survey_bts = yes
)
AND bts_priority_before_adjust = 3;
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 122, sysdate);
commit; --add by maojun 调试
--5.13 修改problem_category，信息点异常，待提升规划级别
UPDATE tap_scalecqt_infospot
SET problem_category = problemCategory4 --modify by maojun 待确认 2014-11-07
--SET problem_category = '信息点异常，提升已有宏站规划等级'
WHERE id IN
(
SELECT sci.id
FROM tap_scalecqt_tt_infospot_cache scic
INNER JOIN tap_scalecqt_infospot sci ON scic.id = sci.id
WHERE scic.analyse_period_datetime = inAnalysePeriodDatetime
AND scic.test_result = testResultOfPoor
AND sci.is_in_wqp_lib = '是'
AND sci.c_solved_date IS NULL
AND sci.is_has_survey_indoor = no
AND sci.is_has_survey_bts = yes
)
AND NOT EXISTS
(
SELECT 1
FROM tap_scalecqt_infospot sci2
INNER JOIN tap_scalecqt_abnormalgrid ag ON sci2.scalecqt_abnormalgrid_id = ag.id
INNER JOIN c_tco_pro_survey_bts survey_bts ON sci2.survey_bts_id = survey_bts.mark_id
WHERE tap_scalecqt_infospot.scalecqt_abnormalgrid_id = ag.id
AND ag.analyse_period_datetime >= SYSDATE - surveyBtsDays AND ag.analyse_period_datetime <= SYSDATE
GROUP BY sci2.id
HAVING COUNT(sci2.id) >= surveyBtsTimes
)
AND bts_priority_before_adjust IN(1, 2);
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 123, sysdate);
commit; --add by maojun 调试
--5.14 修改problem_category，信息点异常，需优化，按信息点派单
UPDATE tap_scalecqt_infospot
SET problem_category = problemCategory5, --modify by maojun 2014-11-07
--SET problem_category = '信息点异常，已在质量问题库，无规划',
is_need_dispatch_wo = yes,
dispatch_object = dispatchObjectOfInfoSpot
WHERE id IN
(
SELECT scic.id
FROM tap_scalecqt_tt_infospot_cache scic
INNER JOIN tap_scalecqt_infospot sci ON scic.id = sci.id
WHERE scic.analyse_period_datetime = inAnalysePeriodDatetime
AND scic.test_result = testResultOfPoor
AND sci.is_in_wqp_lib = '是'
AND sci.c_solved_date IS NULL
AND sci.is_has_survey_indoor = no
AND sci.is_has_survey_bts = no
);
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 124, sysdate);
commit; --add by maojun 调试
--6 周边四个基站性能是否正常
--6.1 寻找test_result IS NULL信息点的周边基站
INSERT INTO tap_scalecqt_bts_cache
(
analyse_period_datetime,
net_technology,
scalecqt_abnormalgrid_id,
scalecqt_infospot_id,
bts_int_id,
bts_name
)
SELECT
analyse_period_datetime,
net_technology,
scalecqt_abnormalgrid_id,
scalecqt_infospot_id,
bts_int_id,
bts_name
FROM
(
SELECT scic.analyse_period_datetime,
scic.net_technology,
sci.scalecqt_abnormalgrid_id,
scic.id AS scalecqt_infospot_id,
bts.int_id AS bts_int_id,
bts.name AS bts_name,
SQRT(POWER(sci.x - bts.x, 2) + POWER(sci.y - bts.y, 2)) AS distance,
ROW_NUMBER() OVER(PARTITION BY sci.id ORDER BY SQRT(POWER(sci.x - bts.x, 2) + POWER(sci.y - bts.y, 2)) ASC) AS row_index
FROM tap_scalecqt_tt_infospot_cache scic
INNER JOIN tap_scalecqt_infospot sci ON scic.id = sci.id
INNER JOIN c_tco_pro_bts bts ON 1 = 1
WHERE scic.analyse_period_datetime = inAnalysePeriodDatetime
AND scic.test_result IS NULL
) t
WHERE t.row_index <= btsNumberOfNearby;
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 125, sysdate);
commit; --add by maojun 调试
--6.2 寻找信息点的周边基站小区
INSERT INTO tap_scalecqt_cell
(
id,
scalecqt_infospot_id,
cell_id,
cell_name,
is_over_abnormalcell_threshold,
result,
is_need_dispatch_wo,
wo_id
)
SELECT SYS_GUID() AS id,
--bc.analyse_period_datetime,
--bc.net_technology,
--bc.scalecqt_abnormalgrid_id,
bc.scalecqt_infospot_id,
c.int_id AS cell_id,
c.name AS cell_name,
NULL AS is_over_abnormalcell_threshold,
NULL AS result,
NULL AS is_need_dispatch_wo,
NULL AS wo_id
FROM tap_scalecqt_bts_cache bc
INNER JOIN c_tco_pro_cell c ON bc.bts_int_id = c.related_btsid
WHERE bc.analyse_period_datetime = inAnalysePeriodDatetime;
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 126, sysdate);
commit; --add by maojun 调试
--6.3 寻找信息点的周边基站小区，并利用异常栅格的打分时间，初始化基站小区的时间点
INSERT INTO tap_scalecqt_cell_cache
(
analyse_period_datetime,
net_technology,
scalecqt_abnormalgrid_id,
scalecqt_infospot_id,
scalecqt_cell_id,
cell_id,
analyse_datetime
)
SELECT bc.analyse_period_datetime,
bc.net_technology,
bc.scalecqt_abnormalgrid_id,
bc.scalecqt_infospot_id,
scc.id AS scalecqt_cell_id,
c.int_id AS cell_id,
gd.analyse_datetime
FROM tap_scalecqt_bts_cache bc
INNER JOIN c_tco_pro_cell c ON bc.bts_int_id = c.related_btsid
INNER JOIN tap_scalecqt_grid_detail gd ON bc.scalecqt_abnormalgrid_id = gd.scalecqt_abnormalgrid_id
INNER JOIN tap_scalecqt_cell scc ON bc.scalecqt_infospot_id = scc.scalecqt_infospot_id AND c.int_id = scc.cell_id
WHERE bc.analyse_period_datetime = inAnalysePeriodDatetime;
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 127, sysdate);
commit; --add by maojun 调试
----------------------------TODO：以下部分可以封装单独的方法----------------------------
--4.3 初始胡2G异常小区的时间点
--2G异常小区类型
--SELECT config_content
--INTO abnormalCellCategory2g
--FROM tap_cqt_config_performance
--WHERE config_type = 'AbPlotType_2G';
INSERT INTO tap_scalecqt_abcell_cache
(
analyse_period_datetime,
net_technology,
scalecqt_abnormalgrid_id,
scalecqt_infospot_id,
scalecqt_cell_id,
cell_id,
analyse_datetime,
rule_id,
abnormalcell_category,
abnormalcell_level,
repeat_num,
abnormalcell_threshold
)
SELECT cc.analyse_period_datetime,
cc.net_technology,
cc.scalecqt_abnormalgrid_id,
cc.scalecqt_infospot_id,
cc.scalecqt_cell_id,
ac.int_id AS cell_id,
ac.scan_start_time AS analyse_datetime,
ac.rule_id,
ac.result_name AS abnormalcell_category,
ac.alarm_grade AS abnormalcell_level,
ac.re_num AS repeat_num,
ac.scenes AS abnormalcell_threshold
FROM tap_scalecqt_cell_cache cc
INNER JOIN tap_scalecqt_abcell ac ON cc.analyse_datetime = ac.scan_start_time AND cc.cell_id = ac.int_id
WHERE cc.analyse_period_datetime = inAnalysePeriodDatetime
AND cc.net_technology = netTechnology2g
AND ac.result_name IN
(
SELECT column_value
FROM TABLE(f_wf_split(abnormalCellCategory2g, ','))
);
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 128, sysdate);
commit; --add by maojun 调试
--4.4 初始胡3G异常小区的时间点
--3G异常小区类型
--SELECT config_content
--INTO abnormalCellCategory3g
--FROM tap_cqt_config_performance
--WHERE config_type = 'AbPlotType_3G';
INSERT INTO tap_scalecqt_abcell_cache
(
analyse_period_datetime,
net_technology,
scalecqt_abnormalgrid_id,
scalecqt_infospot_id,
scalecqt_cell_id,
cell_id,
analyse_datetime,
rule_id,
abnormalcell_category,
abnormalcell_level,
repeat_num,
abnormalcell_threshold
)
SELECT cc.analyse_period_datetime,
cc.net_technology,
cc.scalecqt_abnormalgrid_id,
cc.scalecqt_infospot_id,
cc.scalecqt_cell_id,
ac.int_id AS cell_id,
ac.scan_start_time AS analyse_datetime,
ac.rule_id,
ac.result_name AS abnormalcell_category,
ac.alarm_grade AS abnormalcell_level,
ac.re_num AS repeat_num,
ac.scenes AS abnormalcell_threshold
FROM tap_scalecqt_cell_cache cc
INNER JOIN tap_scalecqt_abcell ac ON cc.analyse_datetime = ac.scan_start_time AND cc.cell_id = ac.int_id
WHERE cc.analyse_period_datetime = inAnalysePeriodDatetime
AND cc.net_technology = netTechnology3g
AND ac.result_name IN
(
SELECT column_value
FROM TABLE(f_wf_split(abnormalCellCategory3g, ','))
);
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 129, sysdate);
commit; --add by maojun 调试
--4.5 初始化信源小区的异常门限
INSERT INTO tap_scalecqt_cellthreshold
(
id,
scalecqt_infospot_id,
scalecqt_cell_id,
analyse_datetime,
rule_id,
abnormalcell_category,
abnormalcell_level,
repeat_num,
abnormalcell_threshold
)
SELECT SYS_GUID() AS id,
t3.scalecqt_infospot_id,
abc.scalecqt_cell_id,
abc.analyse_datetime,
abc.rule_id,
abc.abnormalcell_category,
abc.abnormalcell_level,
abc.repeat_num,
abc.abnormalcell_threshold
FROM tap_scalecqt_abcell_cache abc
INNER JOIN
(
SELECT t1.analyse_period_datetime, t1.net_technology, t1.scalecqt_abnormalgrid_id, t1.scalecqt_infospot_id, t1.scalecqt_cell_id, t1.cell_id
FROM
(
SELECT cc.analyse_period_datetime, cc.net_technology, cc.scalecqt_abnormalgrid_id, cc.scalecqt_infospot_id, cc.scalecqt_cell_id, cc.cell_id, count(analyse_datetime) count
FROM tap_scalecqt_cell_cache cc
WHERE cc.analyse_period_datetime = inAnalysePeriodDatetime
GROUP BY cc.analyse_period_datetime, cc.net_technology, cc.scalecqt_abnormalgrid_id, cc.scalecqt_infospot_id, cc.scalecqt_cell_id, cc.cell_id
) t1
INNER JOIN
(
SELECT acc.analyse_period_datetime, acc.net_technology, acc.scalecqt_abnormalgrid_id, acc.scalecqt_infospot_id, acc.scalecqt_cell_id, acc.cell_id, count(analyse_datetime) count
FROM tap_scalecqt_abcell_cache acc
WHERE acc.analyse_period_datetime = inAnalysePeriodDatetime
GROUP BY acc.analyse_period_datetime, acc.net_technology, acc.scalecqt_abnormalgrid_id, acc.scalecqt_infospot_id, acc.scalecqt_cell_id, acc.cell_id
) t2 ON t1.analyse_period_datetime = t2.analyse_period_datetime
AND t1.net_technology = t2.net_technology
AND t1.scalecqt_abnormalgrid_id = t2.scalecqt_abnormalgrid_id
AND t1.scalecqt_infospot_id = t2.scalecqt_infospot_id
AND t1.scalecqt_cell_id = t2.scalecqt_cell_id
AND t1.cell_id = t2.cell_id
AND t1.count = t2.count
) t3 ON abc.analyse_period_datetime = t3.analyse_period_datetime
AND abc.net_technology = t3.net_technology
AND abc.scalecqt_abnormalgrid_id = t3.scalecqt_abnormalgrid_id
AND abc.scalecqt_infospot_id = t3.scalecqt_infospot_id
AND abc.scalecqt_cell_id = t3.scalecqt_cell_id
AND abc.cell_id = t3.cell_id;
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 130, sysdate);
commit; --add by maojun 调试
----------------------------TODO：以上部分可以封装单独的方法----------------------------
--6.5 标记基站周边小区是否正常，is_over_abnormalcell_threshold = 'Y'为不正常
UPDATE tap_scalecqt_cell
SET is_over_abnormalcell_threshold = yes
WHERE id IN
(
SELECT scc.id
FROM tap_scalecqt_cell scc
INNER JOIN tap_scalecqt_cell_cache cc ON scc.id = cc.scalecqt_cell_id
WHERE cc.analyse_period_datetime = inAnalysePeriodDatetime
)
AND EXISTS
(
SELECT 1
FROM tap_scalecqt_cellthreshold
WHERE tap_scalecqt_cell.id = scalecqt_cell_id
);
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 131, sysdate);
commit; --add by maojun 调试
--6.6 对基站周边小区派单――不重复派单
UPDATE tap_scalecqt_cell
SET result = nearbyCellResult1--,
--problem_category = problemCategory2
WHERE id IN
(
SELECT scc.id
FROM tap_scalecqt_cell scc
INNER JOIN tap_scalecqt_cell_cache cc ON scc.id = cc.scalecqt_cell_id
WHERE cc.analyse_period_datetime = inAnalysePeriodDatetime
)
AND is_over_abnormalcell_threshold = yes
AND EXISTS
(
SELECT 1
FROM tap_wo wo
INNER JOIN tap_wo_baseinfo wob ON wo.id = wob.id
WHERE tap_scalecqt_cell.cell_id = wo.ne_id
AND wo.wo_source = woSourceOfAbnormalCell
AND wob.wo_status <> woStatusOfFinish
);
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 132, sysdate);
commit; --add by maojun 调试
--6.7 对基站周边小区派单
UPDATE tap_scalecqt_cell
SET result = nearbyCellResult2,
--problem_category = problemCategory2,
is_need_dispatch_wo = yes
WHERE id IN
(
SELECT scc.id
FROM tap_scalecqt_cell scc
INNER JOIN tap_scalecqt_cell_cache cc ON scc.id = cc.scalecqt_cell_id
WHERE cc.analyse_period_datetime = inAnalysePeriodDatetime
)
AND is_over_abnormalcell_threshold = yes
AND NOT EXISTS
(
SELECT 1
FROM tap_wo wo
INNER JOIN tap_wo_baseinfo wob ON wo.id = wob.id
WHERE tap_scalecqt_cell.cell_id = wo.ne_id
AND wo.wo_source = woSourceOfAbnormalCell
AND wob.wo_status <> woStatusOfFinish
);
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 133, sysdate);
commit; --add by maojun 调试
--6.8 更新problem_category
UPDATE tap_scalecqt_infospot
SET problem_category = problemCategory6 --modify by maojun 2014-11-07
--SET problem_category = '信息点异常，周边基站异常'
WHERE id IN
(
SELECT sci.id
FROM tap_scalecqt_tt_infospot_cache scic
INNER JOIN tap_scalecqt_infospot sci ON scic.id = sci.id
WHERE scic.analyse_period_datetime = inAnalysePeriodDatetime
AND scic.test_result IS NULL
)
AND EXISTS
(
SELECT 1
FROM tap_scalecqt_cell scc
WHERE tap_scalecqt_infospot.id = scc.scalecqt_infospot_id
AND scc.is_over_abnormalcell_threshold = yes
);
insert into AbInfospotAnalyse_log(period_time, step, finish_time) values(inAnalysePeriodDatetime, 134, sysdate);
commit; --add by maojun 调试
DELETE FROM tap_scalecqt_cell_cache
WHERE analyse_period_datetime = inAnalysePeriodDatetime;
DELETE FROM tap_scalecqt_abcell_cache
WHERE analyse_period_datetime = inAnalysePeriodDatetime;
DELETE FROM tap_scalecqt_bts_cache
WHERE analyse_period_datetime = inAnalysePeriodDatetime;
DELETE FROM tap_scalecqt_tt_infospot_cache
WHERE analyse_period_datetime = inAnalysePeriodDatetime;
DELETE FROM tap_scalecqt_infospot_cache
WHERE analyse_period_datetime = inAnalysePeriodDatetime;
--COMMIT;
END;
|
INSERT INTO budget_note(type, amount, description, insert_date, note_category, is_recurring, recurring_days_interval)
VALUES('EXPENSE', 54.20, 'table cover', '2020/04/22 11:25+1215', 'HOME', false, 0);
INSERT INTO budget_note(type, amount, description, insert_date, note_category, is_recurring, recurring_days_interval)
VALUES('INCOME', 500.0, 'bonus', '2020/04/25 12:25+1215', 'BONUS', false, 0); |
-- Create table
create table NCIIC_FOREIGNER_RESPONSE
(
UUID CHAR(32) not null,
CRT_TIME TIMESTAMP(6),
CRT_USER VARCHAR2(32),
TRN_ID CHAR(32) ,
MESSAGE_BODY CLOB
)
-- Add comments to the table
comment on table NCIIC_FOREIGNER_RESPONSE
is '外国人永久居留证响应表';
-- Add comments to the columns
comment on column NCIIC_FOREIGNER_RESPONSE.UUID
is '记录编号';
comment on column NCIIC_FOREIGNER_RESPONSE.CRT_TIME
is '创建时间';
comment on column NCIIC_FOREIGNER_RESPONSE.CRT_USER
is '创建用户';
comment on column NCIIC_FOREIGNER_RESPONSE.TRN_ID
is '交易编号';
comment on column NCIIC_FOREIGNER_RESPONSE.MESSAGE_BODY
is '响应报文体';
|
-- COMANDOS PARA INSERIR DADOS INICIAIS NO BANCO DE DADOS
-- NÃO UTILIZA OS TRIGGERS
INSERT INTO EMPRESA (CNPJ, NOMEFANTASIA, RAZAOSOCIAL, ENDERECO)
VALUES ('12345678901234', 'Os Argentinos', 'Mao de Dois LTDA.', 'Rua Bom Nos Ares, 123');
INSERT INTO EMPRESA (CNPJ, NOMEFANTASIA, RAZAOSOCIAL, ENDERECO)
VALUES ('43210987654321', 'Iceland Ice Cream', 'Islandeses Que Fazem Sorvete SA', 'Rua de Teste Mesmo, 1222');
INSERT INTO EMPRESA (CNPJ, NOMEFANTASIA, RAZAOSOCIAL, ENDERECO)
VALUES ('11223344556677', 'CP Produções', 'Canarinho Bravo Marketing Social', 'Rua dos Pintassilgos, 6');
INSERT INTO EMPRESA (CNPJ, NOMEFANTASIA, RAZAOSOCIAL, ENDERECO)
VALUES ('77665544332211', 'Marrocos Motors', 'Motores Marroquinhos - ME', 'Rua Contra, 1');
INSERT INTO FORNECEDORA (CNPJ) VALUES ('43210987654321');
INSERT INTO FORNECEDORA (CNPJ) VALUES ('12345678901234');
INSERT INTO FORNECEDORA (CNPJ) VALUES ('11223344556677');
INSERT INTO CONTRATANTE (CNPJ) VALUES ('12345678901234');
INSERT INTO CONTRATANTE (CNPJ) VALUES ('11223344556677');
INSERT INTO CONTRATANTE (CNPJ) VALUES ('77665544332211');
INSERT INTO CONTATOEMPRESA (EMPRESA, EMAIL, NOME, TELEFONE)
VALUES ('11223344556677', 'ney@brasil.gov.br', 'Menino Ney', NULL);
INSERT INTO CONTATOEMPRESA (EMPRESA, EMAIL, NOME, TELEFONE)
VALUES ('11223344556677', 'coutinho@brasil.gov.br', 'Mr. Coutinho', NULL);
INSERT INTO CONTATOEMPRESA (EMPRESA, EMAIL, NOME, TELEFONE)
VALUES ('12345678901234', 'froze@iceland.com', 'Princesa da Froze', '41998731123');
INSERT INTO LOCAL (NOME, CIDADE, ESTADO, RUA, NUMERO, MAXFREQUENTADORES, POSSUIABERTURA, DIARIALOCACAO)
VALUES ('Morumbi', 'São Paulo', 'São Paulo', 'Rua dos Craques', 1233, 50000, 'S', 40000.0);
INSERT INTO LOCAL (NOME, CIDADE, ESTADO, RUA, NUMERO, MAXFREQUENTADORES, POSSUIABERTURA, DIARIALOCACAO)
VALUES ('Maracanã', 'Rio de Janeiro', 'Rio de Janeiro', 'Rua Principal', 2145, 65000, 'N', 55000.0);
INSERT INTO LOCAL (NOME, CIDADE, ESTADO, RUA, NUMERO, MAXFREQUENTADORES, POSSUIABERTURA, DIARIALOCACAO)
VALUES ('O Salão de Festas', 'Brasília', 'Distrito Federal', 'Rua 13', 134, 300, 'N', 8500.0);
INSERT INTO FESTA (ID, CONTRATANTE, DATA, NOME, HORAINICIO, DURACAO, TIPOFESTA)
VALUES (1, '11223344556677', TO_DATE('24/08/2018', 'dd/mm/yyyy'), 'Food Fan Fest', TO_DATE('11:00', 'hh:mi'), TO_DATE('06:00', 'hh:mi'), 'FESTFOOD');
INSERT INTO FESTA (ID, CONTRATANTE, DATA, NOME, HORAINICIO, DURACAO, TIPOFESTA)
VALUES (2, '77665544332211', TO_DATE('11/08/2018', 'dd/mm/yyyy'), 'Food Motor Fest', TO_DATE('11:00', 'hh:mi'), TO_DATE('06:00', 'hh:mi'), 'FESTFOOD');
INSERT INTO FESTA (ID, CONTRATANTE, DATA, NOME, HORAINICIO, DURACAO, TIPOFESTA)
VALUES (3, '11223344556677', TO_DATE('11/05/2018', 'dd/mm/yyyy'), 'Lançamento do Boneco Canarinho', TO_DATE('11:00', 'hh:mi'), TO_DATE('06:00', 'hh:mi'), 'COQUETEL');
INSERT INTO FESTA (ID, CONTRATANTE, DATA, NOME, HORAINICIO, DURACAO, TIPOFESTA)
VALUES (4, '12345678901234', TO_DATE('22/05/2018', 'dd/mm/yyyy'), 'Nova Campanha 2019', TO_DATE('11:00', 'hh:mi'), TO_DATE('06:00', 'hh:mi'), 'COQUETEL');
INSERT INTO FESTFOOD (FESTA, PRECOINGRESSO) VALUES (1, 100.00);
INSERT INTO FESTFOOD (FESTA, PRECOINGRESSO) VALUES (2, 50.00);
INSERT INTO COQUETEL (FESTA, ORCAMENTO, LOCAL, CIDADE)
VALUES (3, 0.0, 'O Salão de Festas', 'Brasília');
INSERT INTO COQUETEL (FESTA, ORCAMENTO, LOCAL, CIDADE)
VALUES (4, 0.0, 'O Salão de Festas', 'Brasília');
INSERT INTO BRINDE (COQUETEL, NOME, DESCRICAO)
VALUES (3, 'Botton Canarinho', 'Verde e amarelo com o personagem no centro.');
INSERT INTO BRINDE (COQUETEL, NOME, DESCRICAO)
VALUES (3, 'Pôster Canarinho', 'A4, verde e amarelo, com detalhes em azul.');
INSERT INTO CONVIDADO (EMAIL, NOME, TELEFONE)
VALUES ('tite@bilidade.com', 'Tite', NULL);
INSERT INTO CONVIDADO (EMAIL, NOME, TELEFONE)
VALUES ('mara@dona.com', 'Dona Mara', '12345678901');
INSERT INTO CONVITE (CONVIDADO, COQUETEL) VALUES ('tite@bilidade.com', 3);
INSERT INTO CONVITE (CONVIDADO, COQUETEL) VALUES ('mara@dona.com', 3);
INSERT INTO CONVITE (CONVIDADO, COQUETEL) VALUES ('mara@dona.com', 4);
INSERT INTO LOCACAO (ID, FESTFOOD, NOMELOCAL, CIDADELOCAL) VALUES (1, 1, 'Morumbi', 'São Paulo');
INSERT INTO LOCACAO (ID, FESTFOOD, NOMELOCAL, CIDADELOCAL) VALUES (2, 2, 'Maracanã', 'Rio de Janeiro');
INSERT INTO LOTE (LOCACAO, NUMERO, FORNECEDORA, PRECO, LARGURA, COMPRIMENTO)
VALUES (1, 1, '43210987654321', 3000.0, 10.0, 5.0);
INSERT INTO LOTE (LOCACAO, NUMERO, FORNECEDORA, PRECO, LARGURA, COMPRIMENTO)
VALUES (1, 2, '12345678901234', 3000.0, 10.0, 5.0);
INSERT INTO LOTE (LOCACAO, NUMERO, FORNECEDORA, PRECO, LARGURA, COMPRIMENTO)
VALUES (1, 3, NULL, 3000.0, 10.0, 5.0);
INSERT INTO LOTE (LOCACAO, NUMERO, FORNECEDORA, PRECO, LARGURA, COMPRIMENTO)
VALUES (2, 1, '43210987654321', 3000.0, 10.0, 5.0);
INSERT INTO LOTE (LOCACAO, NUMERO, FORNECEDORA, PRECO, LARGURA, COMPRIMENTO)
VALUES (2, 2, '12345678901234', 3000.0, 10.0, 5.0);
INSERT INTO INGRESSO (FESTFOOD, NUMERO, CPFCOMPRADOR) VALUES (1, 100100, '12312312312');
INSERT INTO INGRESSO (FESTFOOD, NUMERO, CPFCOMPRADOR) VALUES (1, 200200, '99988888877');
INSERT INTO INGRESSO (FESTFOOD, NUMERO, CPFCOMPRADOR) VALUES (2, 444444, '99988888877');
INSERT INTO INGRESSO (FESTFOOD, NUMERO, CPFCOMPRADOR) VALUES (2, 455554, '66666688877');
INSERT INTO INGRESSO (FESTFOOD, NUMERO, CPFCOMPRADOR) VALUES (2, 666664, '77777777777');
INSERT INTO FORNECIMENTOCOQUETEL (FORNECEDORA, COQUETEL, PRECO)
VALUES ('43210987654321', 3, 5000.0);
INSERT INTO FORNECIMENTOCOQUETEL (FORNECEDORA, COQUETEL, PRECO)
VALUES ('12345678901234', 3, 2000.0);
INSERT INTO PRODUTOSFORNECIDOS (FORNECEDORA, COQUETEL, NOME, QUANTIDADE)
VALUES ('43210987654321', 3, 'Sorvete de Abacaxi Suíço', 200);
INSERT INTO PRODUTOSFORNECIDOS (FORNECEDORA, COQUETEL, NOME, QUANTIDADE)
VALUES ('12345678901234', 3, 'Coxinha de Frango', 500);
INSERT INTO CATEGORIAFORNECIMENTO (NOMEREF, DESCRICAO)
VALUES ('Sorvetes', 'Sorvetes e picolés em geral.');
INSERT INTO CATEGORIAFORNECIMENTO (NOMEREF, DESCRICAO)
VALUES ('Salgadinhos', 'Kibes, esfihas, coxinhas e outros petiscos fritos e assados.');
INSERT INTO ATRIBUICAOCATEGORIA (FORNECEDORA, CATEGORIA, FAIXAPRECO)
VALUES ('43210987654321', 'Sorvetes', '4');
INSERT INTO ATRIBUICAOCATEGORIA (FORNECEDORA, CATEGORIA, FAIXAPRECO)
VALUES ('43210987654321', 'Salgadinhos', '2');
INSERT INTO ATRIBUICAOCATEGORIA (FORNECEDORA, CATEGORIA, FAIXAPRECO)
VALUES ('11223344556677', 'Sorvetes', '4');
INSERT INTO ATRIBUICAOCATEGORIA (FORNECEDORA, CATEGORIA, FAIXAPRECO)
VALUES ('12345678901234', 'Sorvetes', '2');
INSERT INTO FUNCIONARIO (CPF, RG, ESTADO, NOME, CIDADE, RUA, NUMERO, EMAIL, TELRESIDENCIAL, TELCELULAR, VALORPORHORA, FUNCAO)
VALUES ('12345678912', '233321345', 'Bahia', 'Fulano', 'Vitória da Conquista', 'Rua Vitória', 111, 'fulano@bol.com.br', NULL, NULL, 150.0, 'SEGURANÇA');
INSERT INTO FUNCIONARIO (CPF, RG, ESTADO, NOME, CIDADE, RUA, NUMERO, EMAIL, TELRESIDENCIAL, TELCELULAR, VALORPORHORA, FUNCAO)
VALUES ('11115678912', '244321345', 'Bahia', 'Max', 'Vitória da Conquista', 'Rua Vitória', 1234, 'max@bol.com.br', NULL, NULL, 450.0, 'SEGURANÇA');
INSERT INTO FUNCIONARIO (CPF, RG, ESTADO, NOME, CIDADE, RUA, NUMERO, EMAIL, TELRESIDENCIAL, TELCELULAR, VALORPORHORA, FUNCAO)
VALUES ('56354211123', '886353421', 'Sergipe', 'Ciclano', 'Aracaju', 'Rua Dez', 1010, 'ciclano@zipmail.com.br', NULL, NULL, 120.0, 'GARÇOM');
INSERT INTO FUNCIONARIO (CPF, RG, ESTADO, NOME, CIDADE, RUA, NUMERO, EMAIL, TELRESIDENCIAL, TELCELULAR, VALORPORHORA, FUNCAO)
VALUES ('00054211123', '116353421', 'Bahia', 'Mano', 'Aracaju', 'Rua Onze', 1111, '11@zipmail.com.br', NULL, NULL, 555.0, 'GARÇOM');
INSERT INTO CONTRATOCOQUETEL (COQUETEL, FUNCIONARIO, HORASTRABALHADAS, VALORPAGO) VALUES (3, '12345678912', 2, 300.0);
INSERT INTO CONTRATOCOQUETEL (COQUETEL, FUNCIONARIO, HORASTRABALHADAS, VALORPAGO) VALUES (3, '56354211123', 2, 240.0);
INSERT INTO CONTRATOFESTFOOD (FESTFOOD, SEGURANCA, HORASTRABALHADAS, VALORPAGO) VALUES (1, '12345678912', 2, 300.0);
INSERT INTO CONTRATOFESTFOOD (FESTFOOD, SEGURANCA, HORASTRABALHADAS, VALORPAGO) VALUES (2, '12345678912', 2, 300.0);
EXECUTE COQUETEL_CALCULAORCAMENTO(3);
EXECUTE COQUETEL_CALCULAORCAMENTO(4);
COMMIT; |
EXEC sp_rename 'dbo.Messages.Date', 'CreatedAt', 'COLUMN'; |
SELECT job.job_desc, * FROM poordlin_sql PL LEFT OUTER JOIN dbo.jobfile_sql JOB ON JOB.job_no = PL.job_no WHERE item_no IN ('PETG-102',
'ULTRA-105',
'LAM-797',
'ULTRA-103',
'ULTRA-102',
'SINTRA-330',
'SINTRA-302',
'SINTRA-540',
'ADH-601')
SELECT * FROM dbo.poordlin_sql WHERE item_no LIKE 'ADH%'
SELECT * FROM dbo.jobfile_sql
SELECT job.job_desc, * FROM poordlin_sql PL JOIN dbo.jobfile_sql JOB ON JOB.job_no = PL.job_no WHERE (item_no IN ('PETG-102',
'ULTRA-105',
'LAM-797',
'ULTRA-103',
'ULTRA-102',
'SINTRA-330',
'SINTRA-302',
'SINTRA-540') OR item_no LIKE 'ADH%' )
AND JOB.job_no IN ('9030', '8754', '8487', 'STOCK') |
create table persona(
id INT NOT NULL AUTO_INCREMENT,
username VARCHAR(10) NOT NULL UNIQUE,
nombre VARCHAR(100) NOT NULL,
celular VARCHAR(20) NOT NULL,
email VARCHAR(200) NOT NULL,
PRIMARY KEY ( id));
create table scotter (
id int (4) not null auto_increment,
marca varchar(30) not null,
modelo varchar(10) not null,
precio double not null,
ciudad varchar (45) not null,
vendedor int (4) not null,
estado varchar (10) not null,
foto varchar (600) not null,
primary key (id),
foreign key (vendedor) REFERENCES persona(id));
create table compra (
id int (4) not null auto_increment,
fecha date not null,
scotterId int(4) not null,
compradorId int (4) not null,
ciudadDestinoEnvioScotter varchar (45) not null,
flete double not null,
precio double not null,
descuento double not null,
total double not null,
primary key (id),
foreign key (scotterId) REFERENCES scotter(id),
foreign key (compradorId) REFERENCES persona(id));
|
/*
Copyright 2007, Google Inc.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
3. Neither the name of Google Inc. nor the names of its contributors may be
used to endorse or promote products derived from this software without
specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR IMPLIED
WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO
EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF
ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
/**
* Schema for Gearpad. After creating a blank database called 'gearpad',
* run with something like:
*
* mysql -u myuser -p gearpad < db.sql
*
* WATCH OUT! THIS IS A VERY COMPLEX SCHEMA!!!
*/
DROP TABLE IF EXISTS `user`;
CREATE TABLE `user` (
`id` int(11) NOT NULL auto_increment,
`email` varchar(255) NOT NULL,
`password` varchar(255) NOT NULL,
`content` text NOT NULL,
`version` int(11) NOT NULL,
`updated` timestamp NOT NULL default CURRENT_TIMESTAMP on update CURRENT_TIMESTAMP,
`last_client_id` int(11) NOT NULL default 0,
`next_client_id` int(11) NOT NULL default 1,
PRIMARY KEY (`id`),
UNIQUE KEY `email` (`email`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
|
CREATE TABLE Immunization
(
id uniqueidentifier NOT NULL PRIMARY KEY,
[status] nvarchar(255) NOT NULL,
statusReason_CodeableConcept uniqueidentifier FOREIGN KEY REFERENCES CodeableConcept(id),
vaccineCode_CodeableConcept uniqueidentifier NOT NULL FOREIGN KEY REFERENCES CodeableConcept(id),
patient_Reference uniqueidentifier NOT NULL FOREIGN KEY REFERENCES Reference(id),
encounter_Reference uniqueidentifier FOREIGN KEY REFERENCES Reference(id),
-- occurence[x]: Type[1..1]
recorded datetime,
primarySource bit,
reportOrigin_CodeableConcept uniqueidentifier FOREIGN KEY REFERENCES CodeableConcept(id),
location_Reference uniqueidentifier FOREIGN KEY REFERENCES Reference(id),
manufacturer_Reference uniqueidentifier FOREIGN KEY REFERENCES Reference(id),
lotNumber nvarchar(255),
expirationDate date,
site_CodeableConcept uniqueidentifier FOREIGN KEY REFERENCES CodeableConcept(id),
route_CodeableConcept uniqueidentifier FOREIGN KEY REFERENCES CodeableConcept(id),
doseQuantity_Quantity uniqueidentifier FOREIGN KEY REFERENCES Quantity(id),
isSubpotent bit,
fundingSource_CodeableConcept uniqueidentifier FOREIGN KEY REFERENCES CodeableConcept(id)
);
CREATE TABLE ImmunizationNote
(
id_Immunization uniqueidentifier NOT NULL FOREIGN KEY REFERENCES Immunization(id),
id_Annotation uniqueidentifier NOT NULL FOREIGN KEY REFERENCES Annotation(id),
CONSTRAINT PK_ImmunizationNote PRIMARY KEY (id_Immunization, id_Annotation)
);
CREATE TABLE ImmunizationReasonCode
(
id_Immunization uniqueidentifier NOT NULL FOREIGN KEY REFERENCES Immunization(id),
id_CodeableConcept uniqueidentifier NOT NULL FOREIGN KEY REFERENCES CodeableConcept(id),
CONSTRAINT PK_ImmunizationReasonCode PRIMARY KEY (id_Immunization, id_CodeableConcept)
);
CREATE TABLE ImmunizationReasonReference
(
id_Immunization uniqueidentifier NOT NULL FOREIGN KEY REFERENCES Immunization(id),
id_Reference uniqueidentifier NOT NULL FOREIGN KEY REFERENCES Reference(id),
CONSTRAINT PK_ImmunizationReasonReference PRIMARY KEY (id_Immunization, id_Reference)
);
CREATE TABLE ImmunizationSubpotentReason
(
id_Immunization uniqueidentifier NOT NULL FOREIGN KEY REFERENCES Immunization(id),
id_CodeableConcept uniqueidentifier NOT NULL FOREIGN KEY REFERENCES CodeableConcept(id),
CONSTRAINT PK_ImmunizationSubpotentReason PRIMARY KEY (id_Immunization, id_CodeableConcept)
);
CREATE TABLE ImmunizationProgramEligibility
(
id_Immunization uniqueidentifier NOT NULL FOREIGN KEY REFERENCES Immunization(id),
id_CodeableConcept uniqueidentifier NOT NULL FOREIGN KEY REFERENCES CodeableConcept(id),
CONSTRAINT PK_ImmunizationProgramEligibility PRIMARY KEY (id_Immunization, id_CodeableConcept)
);
-- Hjelpetabeller og tilhørende relasjoner
CREATE TABLE ImmunizationEducation_HT
(
id uniqueidentifier NOT NULL PRIMARY KEY,
documentType nvarchar(255),
reference_Uri uniqueidentifier FOREIGN KEY REFERENCES Uri(id),
publicationDate dateTime,
presentationDate dateTime
);
CREATE TABLE ImmunizationEducation
(
id_Immunization uniqueidentifier NOT NULL FOREIGN KEY REFERENCES Immunization(id),
id_ImmunizationEducation_HT uniqueidentifier NOT NULL FOREIGN KEY REFERENCES ImmunizationEducation_HT(id),
CONSTRAINT PK_ImmunizationEducation PRIMARY KEY (id_Immunization, id_ImmunizationEducation_HT)
);
CREATE TABLE ImmunizationReaction_HT
(
id uniqueidentifier NOT NULL PRIMARY KEY,
[date] dateTime,
detail_Reference uniqueidentifier FOREIGN KEY REFERENCES Reference(id),
reported bit
);
CREATE TABLE ImmunizationReaction
(
id_Immunization uniqueidentifier NOT NULL FOREIGN KEY REFERENCES Immunization(id),
id_ImmunizationReaction_HT uniqueidentifier NOT NULL FOREIGN KEY REFERENCES ImmunizationReaction_HT(id),
CONSTRAINT PK_ImmunizationReaction PRIMARY KEY (id_Immunization, id_ImmunizationReaction_HT)
);
CREATE TABLE ImmunizationProtocolApplied_HT
(
id uniqueidentifier NOT NULL PRIMARY KEY,
series nvarchar(255),
authority_Reference uniqueidentifier FOREIGN KEY REFERENCES Reference(id)
-- doseNumber[x] av typen Type(1..1) NOT NULL
-- seriesDoses[x] av typen Type(1..1)
);
CREATE TABLE ImmunizationProtocolApplied_HTTargetDisease
(
id_ImmunizationProtocolApplied_HT uniqueidentifier NOT NULL FOREIGN KEY REFERENCES ImmunizationProtocolApplied_HT(id),
id_CodeableConcept uniqueidentifier NOT NULL FOREIGN KEY REFERENCES CodeableConcept(id),
CONSTRAINT PK_ImmunizationProtocolApplied_HTTargetDisease PRIMARY KEY(id_ImmunizationProtocolApplied_HT, id_CodeableConcept)
);
CREATE TABLE ImmunizationProtocolApplied
(
id_Immunization uniqueidentifier NOT NULL FOREIGN KEY REFERENCES Immunization(id),
id_ImmunizationProtocolApplied_HT uniqueidentifier NOT NULL FOREIGN KEY REFERENCES ImmunizationProtocolApplied_HT(id),
CONSTRAINT PK_ImmunizationProtocolApplied PRIMARY KEY (id_Immunization, id_ImmunizationProtocolApplied_HT)
);
CREATE TABLE ImmunizationPerformer_HT
(
id uniqueidentifier NOT NULL PRIMARY KEY,
function_CodeableConcept uniqueidentifier FOREIGN KEY REFERENCES CodeableConcept(id),
actor_Reference uniqueidentifier NOT NULL FOREIGN KEY REFERENCES Reference(id)
);
CREATE TABLE ImmunizationPerformer
(
id_Immunization uniqueidentifier NOT NULL FOREIGN KEY REFERENCES Immunization(id),
id_ImmunizationPerformer_HT uniqueidentifier NOT NULL FOREIGN KEY REFERENCES ImmunizationPerformer_HT(id),
CONSTRAINT PK_ImmunizationPerformer PRIMARY KEY (id_Immunization, id_ImmunizationPerformer_HT)
); |
INSERT INTO `post` (`id`, `title`, `subtitle`, `content`, `date`, `author`)
VALUES (
1,
'Man must explore, and this is exploration at its greatest.',
'Problems look mighty small from 150 miles up.',
'<p>What was most significant about the lunar voyage was not that man set foot on the Moon but that they set eye on the earth.</p>
<p>Houston, Tranquillity Base here. The Eagle has landed.</p>
<p>NASA is not about the ‘Adventure of Human Space Exploration’…We won’t be doing it just to get out there in space – we’ll be doing it because the things we learn out there will be making life better for a lot of people who won’t be able to go.</p>
<p>The Earth was small, light blue, and so touchingly alone, our home that must be defended like a holy relic. The Earth was absolutely round. I believe I never knew what the word round meant until I saw Earth from space.</p>
<p>When I orbited the Earth in a spaceship, I saw for the first time how beautiful our planet is. Mankind, let us preserve and increase this beauty, and not destroy it!</p>',
'2016-05-11',
'union.one'
);
INSERT INTO `post` (`id`, `title`, `subtitle`, `content`, `date`, `author`)
VALUES (
2,
'I believe every human has a finite number of heartbeats. I don''t intend to waste any of mine.',
'Problems look mighty small.',
'<p>NASA is not about the ‘Adventure of Human Space Exploration’…We won’t be doing it just to get out there in space – we’ll be doing it because the things we learn out there will be making life better for a lot of people who won’t be able to go.</p>
<p>The dreams of yesterday are the hopes of today and the reality of tomorrow.</p>
<p>As we got further and further away, it [the Earth] diminished in size. Finally it shrank to the size of a marble, the most beautiful you can imagine. That beautiful, warm, living object looked so fragile, so delicate, that if you touched it with a finger it would crumble and fall apart. Seeing this has to change a man.</p>',
'2016-05-11',
'vlad'
);
INSERT INTO `post` (`id`, `title`, `subtitle`, `content`, `date`, `author`)
VALUES (
3,
'Science has not yet mastered prophecy.',
'We predict too much for the next year and yet far too little for the next ten.',
'<p>We want to explore. We’re curious people. Look back over history, people have put their lives at stake to go out and explore … We believe in what we’re doing. Now it’s time to go.</p>
<p>We choose to go to the moon in this decade and do the other things, not because they are easy, but because they are hard, because that goal will serve to organize and measure the best of our energies and skills, because that challenge is one that we are willing to accept, one we are unwilling to postpone, and one which we intend to win.</p>
<p>Buy why, some say, the moon? Why choose this as our goal? And they may as well ask why climb the highest mountain?</p>',
'2016-05-11',
'union.one'
);
INSERT INTO `post` (`id`, `title`, `subtitle`, `content`, `date`, `author`)
VALUES (
4,
'Failure is not an option.',
'Many say exploration is part of our destiny, but it’s actually our duty to future generations.',
'<p>There can be no thought of finishing for ‘aiming for the stars.’ Both figuratively and literally, it is a task to occupy the generations. And no matter how much progress one makes, there is always the thrill of just beginning.</p>
<p>There can be no thought of finishing for ‘aiming for the stars.’ Both figuratively and literally, it is a task to occupy the generations. And no matter how much progress one makes, there is always the thrill of just beginning.</p>
<p>Science has not yet mastered prophecy. We predict too much for the next year and yet far too little for the next 10.</p>',
'2016-05-11',
'union.one'
);
INSERT INTO `post` (`id`, `title`, `subtitle`, `content`, `date`, `author`)
VALUES (
5,
'MockFlow new feature: Link your comments in the Mockup.',
'This is the part 2 follow up feature to our SiteMap implementation.',
'<p>We choose to go to the moon in this decade and do the other things, not because they are easy, but because they are hard, because that goal will serve to organize and measure the best of our energies and skills, because that challenge is one that we are willing to accept, one we are unwilling to postpone, and one which we intend to win.</p>
<p>For those who have seen the Earth from space, and for the hundreds and perhaps thousands more who will, the experience most certainly changes your perspective. The things that we share in our world are far more valuable than those which divide us.</p>
<p>Across the sea of space, the stars are other suns.</p>',
'2016-05-11',
'vlad'
);
INSERT INTO `comment` (`id`, `author`, `review`, `date`, `post_id`)
VALUES (
1,
'this is great author.',
'this is great review of great author.',
'date of great comment.',
1
);
INSERT INTO `comment` (`id`, `author`, `review`, `date`, `post_id`)
VALUES (
2,
'this is great author.',
'this is great review of great author.',
'date of great comment.',
1
);
INSERT INTO `comment` (`id`, `author`, `review`, `date`, `post_id`)
VALUES (
3,
'this is great author.',
'this is great review of great author.',
'date of great comment.',
1
);
INSERT INTO `comment` (`id`, `author`, `review`, `date`, `post_id`)
VALUES (
4,
'this is great author.',
'this is great review of great author.',
'date of great comment.',
1
);
INSERT INTO `comment` (`id`, `author`, `review`, `date`, `post_id`)
VALUES (
5,
'this is great author.',
'this is great review of great author.',
'date of great comment.',
2
);
INSERT INTO `comment` (`id`, `author`, `review`, `date`, `post_id`)
VALUES (
6,
'this is great author.',
'this is great review of great author.',
'date of great comment.',
2
);
INSERT INTO `comment` (`id`, `author`, `review`, `date`, `post_id`)
VALUES (
7,
'this is great author.',
'this is great review of great author.',
'date of great comment.',
2
);
INSERT INTO `user` (`id`, `nickname`, `email`, `login`, `password`)
VALUES (
1,
'Admin',
'admin@gmail.com',
'admin',
'pass'
);
INSERT INTO `user` (`id`, `nickname`, `email`, `login`, `password`)
VALUES (
2,
'User',
'user@gmail.com',
'user',
'pass'
);
INSERT INTO `authority` (`id`, `name`) VALUES (1, 'ROLE_USER');
INSERT INTO `authority` (`id`, `name`) VALUES (2, 'ROLE_ADMIN');
INSERT INTO `user_authority` (`id`, `user_id`, `role_id`) VALUES (1, 1, 1);
INSERT INTO `user_authority` (`id`, `user_id`, `role_id`) VALUES (2, 1, 2);
INSERT INTO `user_authority` (`id`, `user_id`, `role_id`) VALUES (3, 2, 1);
|
--Sukuriama lentele
CREATE TABLE Pirkejai
(
ID INT NOT NULL PRIMARY KEY ,
Vardas VARCHAR(200),
Pavarde VARCHAR(200),
Amzius INT NOT NULL,
Kredito_Kortele VARCHAR(200) DEFAULT 'Moku grynais',
);
CREATE TABLE Parduotuve
(ID INT NOT NULL PRIMARY KEY ,
Pavadinimas VARCHAR(200),
Miestas VARCHAR(200),
Gatve VARCHAR(200),
Pirkejas_ID int REFERENCES Pirkejai(ID),
Namo_Nr NUMERIC);
CREATE TABLE Pirkiniu_krepselis
(ID INT NOT NULL PRIMARY KEY ,
Prekiu_sarasas VARCHAR(MAX),
Apsipirkimu_data DATETIME,
Pirkejas_ID int REFERENCES Pirkejai(ID),
Islaidu_suma int);
-- Priskiriamas check constraitas po lenteles sukurimo
ALTER TABLE Pirkejai
ADD CHECK (Amzius>=18);
--Insert data
insert into Pirkejai(ID,Vardas, Pavarde, Amzius, Kredito_Kortele)
Values(1, 'Simas', 'Purtokas', '21', 'VISA');
insert into Pirkejai(ID,Vardas, Pavarde, Amzius, Kredito_Kortele)
Values(2, 'Lukas', 'Burokauskas', '32', 'MasterCard');
insert into Pirkejai(ID,Vardas, Pavarde, Amzius, Kredito_Kortele)
Values(3, 'Saulius', 'Fokinas', '26', 'VISA');
insert into Pirkejai(ID,Vardas, Pavarde, Amzius, Kredito_Kortele)
Values(4, 'Paulius', 'Birunas', '19', 'MasterCard');
insert into Pirkejai(ID,Vardas, Pavarde, Amzius, Kredito_Kortele)
Values(5, 'Mindaugas', 'Barzda', '43', 'MasterCard');
insert into Pirkejai(ID,Vardas, Pavarde, Amzius, Kredito_Kortele)
Values(6, 'Toma', 'Jurkute', '43', 'MasterCard');
insert into Pirkejai(ID,Vardas, Pavarde, Amzius, Kredito_Kortele)
Values(7, 'Aistė', 'Masaitytė', '43', 'MasterCard');
insert into Pirkejai(ID,Vardas, Pavarde, Amzius, Kredito_Kortele)
Values(8, 'Jurgita', 'Jurkšienė', '43', 'MasterCard');
insert into Pirkiniu_krepselis(ID, Prekiu_sarasas, Apsipirkimu_data, Pirkejas_ID, Islaidu_suma)
Values(1,'YEEZY BOOST 350 V2 size 11', '2017-03-29',1,1200);
insert into Pirkiniu_krepselis(ID, Prekiu_sarasas, Apsipirkimu_data, Pirkejas_ID, Islaidu_suma)
Values(6,'YEEZY BOOST 350 V2 size 11', '2017-03-30',1,700);
insert into Pirkiniu_krepselis(ID, Prekiu_sarasas, Apsipirkimu_data, Pirkejas_ID, Islaidu_suma)
Values(7,'YEEZY BOOST 350 V2 size 11', '2017-03-15',1,600);
insert into Pirkiniu_krepselis(ID, Prekiu_sarasas, Apsipirkimu_data, Pirkejas_ID, Islaidu_suma)
Values(10,'YEEZY BOOST 350 V2', '2017-03-04',1,4300);
insert into Pirkiniu_krepselis(ID, Prekiu_sarasas, Apsipirkimu_data, Pirkejas_ID, Islaidu_suma)
Values(11,'YEEZY BOOST 350 V2', '2017-03-13',1,70);
insert into Pirkiniu_krepselis(ID, Prekiu_sarasas, Apsipirkimu_data, Pirkejas_ID, Islaidu_suma)
Values(2,'Nike Roshe Run, size 12', '2017-03-30',2,175);
insert into Pirkiniu_krepselis(ID, Prekiu_sarasas, Apsipirkimu_data, Pirkejas_ID, Islaidu_suma)
Values(3,'YEEZY BOOST 750, size 12.5', '2017-04-01',3,1250);
insert into Pirkiniu_krepselis(ID, Prekiu_sarasas, Apsipirkimu_data, Pirkejas_ID, Islaidu_suma)
Values(4,'AIR JORDAN XXXI, size 10.5', '2017-04-01',4,185);
insert into Pirkiniu_krepselis(ID, Prekiu_sarasas, Apsipirkimu_data, Pirkejas_ID, Islaidu_suma)
Values(5,'JORDAN FORMULA 23, size 12', '2017-04-02',5,99);
insert into Parduotuve(ID, Pavadinimas, Miestas, Gatve,Pirkejas_ID, Namo_Nr)
Values (1, 'H&M', 'Kaunas', 'Studentu g.', '1', 69);
insert into Parduotuve(ID, Pavadinimas, Miestas, Gatve,Pirkejas_ID, Namo_Nr)
Values (2, 'CROPP', 'Vilnius', 'Naujoji g.', '2', 54);
insert into Parduotuve(ID, Pavadinimas, Miestas, Gatve,Pirkejas_ID, Namo_Nr)
Values (6, 'BERKA', 'Vilnius', 'Nadruvos g.', '1', 55);
insert into Parduotuve(ID, Pavadinimas, Miestas, Gatve,Pirkejas_ID, Namo_Nr)
Values (4, 'VINTAGE', 'Kaunas', 'Savanorių pr.', '4', 192);
insert into Parduotuve(ID, Pavadinimas, Miestas, Gatve,Pirkejas_ID, Namo_Nr)
Values (5, 'VOYAGE', 'Kaunas', 'Simono Daukanto g.', '5', 15);
-- OR ir AND pavyzdys
select * from Pirkiniu_krepselis
where Islaidu_suma > 300 OR Apsipirkimu_data Between '2017-03-30' AND '2017-04-01';
--IN pavyzdys
select *
from Parduotuve
where Miestas IN('Vilnius');
-- <> Pavyzdys
select * from Pirkiniu_krepselis
where Apsipirkimu_data <> ('2017-04-01');
--Join pavyzdziai
Select Vardas, Pavarde, Kredito_Kortele, Prekiu_sarasas, Islaidu_suma
from Pirkejai
Inner Join Pirkiniu_krepselis
on Pirkejai.ID = Pirkiniu_krepselis.Pirkejas_ID;
Select Parduotuve.ID ,Pavadinimas, Miestas, Gatve, Namo_NR, Islaidu_suma
from Parduotuve
Left Join Pirkiniu_krepselis
on Parduotuve.Pirkejas_ID = Pirkiniu_krepselis.Pirkejas_ID;
Select Parduotuve.ID ,Pavadinimas, Miestas, Gatve, Namo_NR, Islaidu_suma
from Parduotuve
Right Join Pirkiniu_krepselis
on Parduotuve.Pirkejas_ID = Pirkiniu_krepselis.Pirkejas_ID;
Select Pirkejas_ID, Pavadinimas, Miestas, Gatve, Namo_NR, Vardas, Pavarde, Amzius
from Parduotuve
Full Outer Join PIRKEJAI
on Parduotuve.Pirkejas_ID = PIRKEJAI.ID;
--Group by Pavyzdžiai
--Islaidų suma pagal pirkejo ID
select Pirkejas_ID, SUM( Islaidu_suma) AS Islaidu_suma from Pirkiniu_krepselis group by Pirkejas_ID;
--Išrenkame pirkėjus vyrus
select Vardas, Pavarde from Pirkejai where Vardas like '%as' or Vardas like '%ius' group by Vardas,Pavarde;
--Išrenkame pirkėjas moteris
select Vardas, Pavarde from Pirkejai where Vardas like '%a' or Vardas like '%ė' group by Vardas,Pavarde;
--Suskaičiuojame parduotuvių skaičių kiekviename mieste
select Miestas, count(*)Parduotuves from Parduotuve group by Miestas;
--suskaiciuoja parduotuviu skaiciu Kaune
select TOP 1 'Kaunas', COUNT(case Parduotuve.Miestas when 'Kaunas' then 1 else null end) as "miestas"
from Parduotuve group by "miestas";
--Lenteliu sunaikinimas
drop table Parduotuve;
drop table Pirkiniu_krepselis;
drop table Pirkejai; |
DROP DATABASE aju;
CREATE DATABASE aju;
USE aju;
CREATE TABLE LOCATION
(
ID int NOT NULL,
NAME varchar(50) NOT NULL,
COORDENATEX int NOT NULL,
COORDENATEY int NOT NULL,
LOCATION_ID int NULL,
FOREIGN KEY (LOCATION_ID) REFERENCES LOCATION(ID),
PRIMARY KEY(ID)
);
CREATE TABLE COMPANY
(
ID int NOT NULL,
NAME varchar(50) NOT NULL,
LOCATION_ID int NOT NULL,
FOREIGN KEY (LOCATION_ID) REFERENCES LOCATION(ID),
PRIMARY KEY(ID)
);
CREATE TABLE USER
(
ID int NOT NULL,
NAME varchar(50) NOT NULL,
EMAIL varchar(50) NOT NULL,
PHONE varchar(50) NULL,
COMPANY_ID INT NOT NULL,
FOREIGN KEY (COMPANY_ID) REFERENCES COMPANY(ID),
PRIMARY KEY(ID)
);
CREATE TABLE STATUS
(
ID int NOT NULL,
STATUS varchar(50) NOT NULL,
PRIMARY KEY(ID)
);
CREATE TABLE EQUIPMENT
(
ID int NOT NULL,
LOCATION_ID int NOT NULL,
STATUS_ID int NOT NULL,
FOREIGN KEY (STATUS_ID) REFERENCES STATUS(ID),
FOREIGN KEY (LOCATION_ID) REFERENCES LOCATION(ID),
PRIMARY KEY(ID)
);
CREATE TABLE ACTIVITY
(
ID int NOT NULL,
USER_ID int NOT NULL,
EQUIPMENT_ID int NOT NULL,
AC_DATE DATETIME NOT NULL,
ENTERING boolean NOT NULL,
FOREIGN KEY (USER_ID) REFERENCES USER(ID),
FOREIGN KEY (EQUIPMENT_ID) REFERENCES EQUIPMENT(ID),
PRIMARY KEY(ID)
);
INSERT INTO LOCATION VALUES (0, "Finance Trading Complex", 12, 45, 0);
INSERT INTO LOCATION VALUES (1, "Main Building", 12, 45, 0);
INSERT INTO LOCATION VALUES (2, "Building Enterprise", 12, 45, 0);
INSERT INTO LOCATION VALUES (3, "Building Shuttle", 12, 45, 0);
INSERT INTO LOCATION VALUES (4, "Main Door North", 12, 45, 1);
INSERT INTO LOCATION VALUES (5, "Door South", 12, 45, 1);
INSERT INTO LOCATION VALUES (6, "Door East", 12, 45, 1);
INSERT INTO LOCATION VALUES (7, "Door West", 12, 45, 1);
INSERT INTO LOCATION VALUES (8, "Main Door North", 12, 45, 2);
INSERT INTO LOCATION VALUES (9, "Door South", 12, 45, 2);
INSERT INTO LOCATION VALUES (10, "Door East", 12, 45, 2);
INSERT INTO LOCATION VALUES (11, "Door West", 12, 45, 2);
INSERT INTO LOCATION VALUES (12, "Main Door North", 12, 45, 3);
INSERT INTO LOCATION VALUES (13, "Door South", 12, 45, 3);
INSERT INTO LOCATION VALUES (14, "Door East", 12, 45, 3);
INSERT INTO LOCATION VALUES (15, "Door West", 12, 45, 3);
INSERT INTO STATUS VALUES(0,"Working");
INSERT INTO STATUS VALUES(1,"Stand by");
INSERT INTO STATUS VALUES(2,"Error");
INSERT INTO EQUIPMENT VALUES(0,4,0);
INSERT INTO EQUIPMENT VALUES(1,4,0);
INSERT INTO EQUIPMENT VALUES(2,5,0);
INSERT INTO EQUIPMENT VALUES(3,6,0);
INSERT INTO EQUIPMENT VALUES(4,7,0);
INSERT INTO EQUIPMENT VALUES(5,8,0);
INSERT INTO EQUIPMENT VALUES(6,8,0);
INSERT INTO EQUIPMENT VALUES(7,9,0);
INSERT INTO EQUIPMENT VALUES(8,10,0);
INSERT INTO EQUIPMENT VALUES(9,11,0);
INSERT INTO EQUIPMENT VALUES(10,12,0);
INSERT INTO EQUIPMENT VALUES(11,12,0);
INSERT INTO EQUIPMENT VALUES(12,13,0);
INSERT INTO EQUIPMENT VALUES(13,14,0);
INSERT INTO EQUIPMENT VALUES(14,15,0);
INSERT INTO COMPANY VALUES (0,"Bank of Scotland", 1);
INSERT INTO COMPANY VALUES (1,"Dove Medical Press", 2);
INSERT INTO COMPANY VALUES (2,"BMJ Journals",3);
INSERT INTO USER VALUES (0,"Lou Crowner","loucrowner@bankofscotland.com","91 - 626 - 351 - 672",0);
INSERT INTO USER VALUES (1,"Miguel Wison","miguelwison@bankofscotland.com","91 - 038 - 371 - 683",0);
INSERT INTO USER VALUES (2,"Sherell Holford","sherellholford@bankofscotland.com","91 - 410 - 656 - 018",0);
INSERT INTO USER VALUES (3,"Nathanael Overmyer","nathanaelovermyer@dove.com","91 - 077 - 661 - 652",1);
INSERT INTO USER VALUES (4,"Nakita Gaskell","nakitagaskell@dove.com","91 - 021 - 103 - 104",1);
INSERT INTO USER VALUES (5,"Nadene Courtemanche","nadenecourtemanche@bankofscotland.com","91 - 023 - 013 - 663",0);
INSERT INTO USER VALUES (6,"Erwin Valdez","erwinvaldez@dove.com","91 - 270 - 148 - 145",1);
INSERT INTO USER VALUES (7,"Magaly Bolds","magalybolds@bankofscotland.com","91 - 241 - 733 - 023",0);
INSERT INTO USER VALUES (8,"Larae Paskett","laraepaskett@bankofscotland.com","91 - 646 - 632 - 266",0);
INSERT INTO USER VALUES (9,"Lora Dolphin","loradolphin@dove.com","91 - 728 - 818 - 716",1);
INSERT INTO USER VALUES (10,"Jaunita Dodds","jaunitadodds@bankofscotland.com","91 - 464 - 121 - 586",0);
INSERT INTO USER VALUES (11,"Lorelei Mode","loreleimode@bankofscotland.com","91 - 238 - 133 - 831",0);
INSERT INTO USER VALUES (12,"Herb Aikens","herbaikens@dove.com","91 - 732 - 085 - 028",1);
INSERT INTO USER VALUES (13,"Eustolia Wineinger","eustoliawineinger@dove.com","91 - 866 - 747 - 110",1);
INSERT INTO USER VALUES (14,"Wendy Mcmanus","wendymcmanus@bankofscotland.com","91 - 425 - 018 - 811",0);
INSERT INTO USER VALUES (15,"Gaylene Okane","gayleneokane@dove.com","91 - 158 - 852 - 254",1);
INSERT INTO USER VALUES (16,"Norberto Hild","norbertohild@bankofscotland.com","91 - 187 - 207 - 448",0);
INSERT INTO USER VALUES (17,"Obdulia Vankirk","obduliavankirk@dove.com","91 - 560 - 426 - 265",1);
INSERT INTO USER VALUES (18,"Lucius Ginyard","luciusginyard@dove.com","91 - 813 - 700 - 143",1);
INSERT INTO USER VALUES (19,"Billye Karcher","billyekarcher@bankofscotland.com","91 - 447 - 880 - 543",0);
INSERT INTO USER VALUES (20,"Lida Depp","lidadepp@dove.com","91 - 383 - 274 - 173",1);
INSERT INTO USER VALUES (21,"Sabine Auer","sabineauer@dove.com","91 - 118 - 420 - 278",1);
INSERT INTO USER VALUES (22,"Jamee Corns","jameecorns@dove.com","91 - 177 - 235 - 250",1);
INSERT INTO USER VALUES (23,"Candance Mimms","candancemimms@bankofscotland.com","91 - 753 - 123 - 481",0);
INSERT INTO USER VALUES (24,"Flossie Panter","flossiepanter@dove.com","91 - 410 - 073 - 240",1);
INSERT INTO USER VALUES (25,"Marylyn Simonds","marylynsimonds@dove.com","91 - 123 - 880 - 035",1);
INSERT INTO USER VALUES (26,"Carli List","carlilist@dove.com","91 - 874 - 660 - 226",1);
INSERT INTO USER VALUES (27,"Leann Howard","leannhoward@dove.com","91 - 768 - 880 - 400",1);
INSERT INTO USER VALUES (28,"Stacy File","stacyfile@bankofscotland.com","91 - 483 - 205 - 325",0);
INSERT INTO USER VALUES (29,"Raymon Macy","raymonmacy@bankofscotland.com","91 - 147 - 512 - 168",0);
INSERT INTO USER VALUES (30,"Terrell Sugg","terrellsugg@dove.com","91 - 877 - 630 - 802",1);
INSERT INTO USER VALUES (31,"Katelyn Coles","katelyncoles@bankofscotland.com","91 - 842 - 450 - 072",0);
INSERT INTO USER VALUES (32,"Cammy Leek","cammyleek@dove.com","91 - 458 - 671 - 388",1);
INSERT INTO USER VALUES (33,"Sydney Giberson","sydneygiberson@bankofscotland.com","91 - 710 - 617 - 642",0);
INSERT INTO USER VALUES (34,"Mike Holly","mikeholly@dove.com","91 - 427 - 758 - 182",1);
INSERT INTO USER VALUES (35,"Andre Watters","andrewatters@bankofscotland.com","91 - 078 - 317 - 584",0);
INSERT INTO USER VALUES (36,"Devin Gilchrest","devingilchrest@dove.com","91 - 127 - 800 - 214",1);
INSERT INTO USER VALUES (37,"Shelley Coombs","shelleycoombs@bankofscotland.com","91 - 363 - 527 - 550",0);
INSERT INTO USER VALUES (38,"Christene Lindow","christenelindow@dove.com","91 - 752 - 228 - 830",1);
INSERT INTO USER VALUES (39,"Shalanda Honig","shalandahonig@dove.com","91 - 024 - 682 - 821",1);
INSERT INTO USER VALUES (40,"Anjelica Mazzoni","anjelicamazzoni@dove.com","91 - 035 - 523 - 824",1);
INSERT INTO USER VALUES (41,"Allyson Belfiore","allysonbelfiore@bankofscotland.com","91 - 121 - 513 - 057",0);
INSERT INTO USER VALUES (42,"Deandra Scheffel","deandrascheffel@bankofscotland.com","91 - 033 - 167 - 657",0);
INSERT INTO USER VALUES (43,"Regenia Spillman","regeniaspillman@dove.com","91 - 703 - 111 - 680",1);
INSERT INTO USER VALUES (44,"Aurelia Warn","aureliawarn@bankofscotland.com","91 - 645 - 387 - 037",0);
INSERT INTO USER VALUES (45,"Vonnie Alter","vonniealter@dove.com","91 - 161 - 366 - 582",1);
INSERT INTO USER VALUES (46,"Celestine Dade","celestinedade@dove.com","91 - 564 - 888 - 235",1);
INSERT INTO USER VALUES (47,"Chere Disandro","cheredisandro@bankofscotland.com","91 - 872 - 672 - 662",0);
INSERT INTO USER VALUES (48,"Latia Haymaker","latiahaymaker@dove.com","91 - 742 - 582 - 058",1);
INSERT INTO USER VALUES (49,"Forest Wiener","forestwiener@dove.com","91 - 804 - 816 - 840",1);
|
-- phpMyAdmin SQL Dump
-- version 4.8.4
-- https://www.phpmyadmin.net/
--
-- Host: localhost
-- Generation Time: Feb 15, 2019 at 05:55 PM
-- Server version: 5.7.25-0ubuntu0.18.04.2
-- PHP Version: 7.2.15-0ubuntu0.18.04.1
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 */;
--
-- Database: `emp_dep`
--
CREATE DATABASE IF NOT EXISTS `emp_dep` DEFAULT CHARACTER SET utf8 COLLATE utf8_spanish_ci;
USE `emp_dep`;
-- --------------------------------------------------------
--
-- Table structure for table `dep`
--
CREATE TABLE `dep` (
`dept_no` int(2) NOT NULL,
`dnombre` varchar(15) COLLATE utf8_spanish_ci NOT NULL,
`localidad` varchar(30) COLLATE utf8_spanish_ci DEFAULT NULL COMMENT 'Prueba de comentario'
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_spanish_ci;
--
-- Dumping data for table `dep`
--
INSERT INTO `dep` (`dept_no`, `dnombre`, `localidad`) VALUES
(1, 'INFORMATICA', 'sevilla'),
(14, 'TEST', 'TEST'),
(17, 'ASDFG', 'NAR');
-- --------------------------------------------------------
--
-- Table structure for table `emp`
--
CREATE TABLE `emp` (
`emp_no` int(2) NOT NULL,
`nombre` varchar(20) COLLATE utf8_spanish_ci NOT NULL,
`fecha_alta` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
`oficio` enum('Administrativo','Analista') COLLATE utf8_spanish_ci NOT NULL,
`salario` decimal(6,2) NOT NULL,
`comision` decimal(6,2) DEFAULT NULL,
`dep_no` int(2) NOT NULL,
`fotografia` varchar(60) COLLATE utf8_spanish_ci NOT NULL DEFAULT './img/silueta.png'
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_spanish_ci;
--
-- Dumping data for table `emp`
--
INSERT INTO `emp` (`emp_no`, `nombre`, `fecha_alta`, `oficio`, `salario`, `comision`, `dep_no`, `fotografia`) VALUES
(1, 'test', '2000-01-10 23:00:00', 'Administrativo', '3434.00', '10.00', 1, './img/Ink-Wallpaper-24-1680x1050.png'),
(6, 'gby', '2000-01-10 23:00:00', 'Administrativo', '3434.00', '10.00', 1, './img/silueta.png'),
(13, 'r', '2000-11-10 23:00:00', 'Administrativo', '44.00', NULL, 1, './img/silueta.png'),
(15, 'gb', '2000-01-10 23:00:00', 'Administrativo', '3434.00', '10.00', 1, './img/silueta.png');
-- --------------------------------------------------------
--
-- Table structure for table `usuario`
--
CREATE TABLE `usuario` (
`id` int(11) NOT NULL,
`login` varchar(10) COLLATE utf8_spanish_ci NOT NULL,
`password` varchar(100) COLLATE utf8_spanish_ci NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_spanish_ci;
--
-- Dumping data for table `usuario`
--
INSERT INTO `usuario` (`id`, `login`, `password`) VALUES
(3, 'grys', '827ccb0eea8a706c4c34a16891f84e7b');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `dep`
--
ALTER TABLE `dep`
ADD PRIMARY KEY (`dept_no`),
ADD KEY `dep_no` (`dept_no`);
--
-- Indexes for table `emp`
--
ALTER TABLE `emp`
ADD PRIMARY KEY (`emp_no`) USING BTREE,
ADD KEY `Dep_no` (`dep_no`) USING BTREE;
--
-- Indexes for table `usuario`
--
ALTER TABLE `usuario`
ADD PRIMARY KEY (`id`),
ADD UNIQUE KEY `login` (`login`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `dep`
--
ALTER TABLE `dep`
MODIFY `dept_no` int(2) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=18;
--
-- AUTO_INCREMENT for table `usuario`
--
ALTER TABLE `usuario`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
--
-- Constraints for dumped tables
--
--
-- Constraints for table `emp`
--
ALTER TABLE `emp`
ADD CONSTRAINT `emp_ibfk_1` FOREIGN KEY (`dep_no`) REFERENCES `dep` (`dept_no`);
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 */;
|
-- phpMyAdmin SQL Dump
-- version 4.5.1
-- http://www.phpmyadmin.net
--
-- Servidor: 127.0.0.1
-- Tiempo de generación: 10-01-2018 a las 04:06:05
-- Versión del servidor: 10.1.19-MariaDB
-- Versión de PHP: 5.6.28
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 datos: `tienda`
--
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `articulos`
--
CREATE TABLE `articulos` (
`id` int(25) NOT NULL,
`bar_code` int(25) NOT NULL,
`descripcion` varchar(25) NOT NULL,
`cantidad_disponible` int(25) NOT NULL,
`precio` double NOT NULL,
`precio_venta` double NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `corte`
--
CREATE TABLE `corte` (
`id` int(20) NOT NULL,
`fecha_corte` date NOT NULL,
`ventas_realizadas` int(20) NOT NULL,
`articulos_vendidos` int(20) NOT NULL,
`total` double NOT NULL,
`fondo` double NOT NULL,
`gastos` double NOT NULL,
`ganancia` double NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `detalle_venta`
--
CREATE TABLE `detalle_venta` (
`id` int(20) NOT NULL,
`id_venta` int(20) NOT NULL,
`id_articulo` int(20) NOT NULL,
`cantidad` int(20) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `gastos`
--
CREATE TABLE `gastos` (
`id` int(20) NOT NULL,
`fecha_gasto` date NOT NULL,
`descripcion` varchar(50) NOT NULL,
`monto` double NOT NULL,
`add_corte` varchar(20) NOT NULL COMMENT 'Para añadirla al corte'
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `venta`
--
CREATE TABLE `venta` (
`id` int(20) NOT NULL,
`fecha_venta` date NOT NULL,
`total_venta` double NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Índices para tablas volcadas
--
--
-- Indices de la tabla `articulos`
--
ALTER TABLE `articulos`
ADD PRIMARY KEY (`id`);
--
-- Indices de la tabla `corte`
--
ALTER TABLE `corte`
ADD PRIMARY KEY (`id`);
--
-- Indices de la tabla `detalle_venta`
--
ALTER TABLE `detalle_venta`
ADD PRIMARY KEY (`id`);
--
-- Indices de la tabla `gastos`
--
ALTER TABLE `gastos`
ADD PRIMARY KEY (`id`);
--
-- Indices de la tabla `venta`
--
ALTER TABLE `venta`
ADD PRIMARY KEY (`id`);
--
-- AUTO_INCREMENT de las tablas volcadas
--
--
-- AUTO_INCREMENT de la tabla `articulos`
--
ALTER TABLE `articulos`
MODIFY `id` int(25) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=18;
--
-- AUTO_INCREMENT de la tabla `corte`
--
ALTER TABLE `corte`
MODIFY `id` int(20) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=10;
--
-- AUTO_INCREMENT de la tabla `detalle_venta`
--
ALTER TABLE `detalle_venta`
MODIFY `id` int(20) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=70;
--
-- AUTO_INCREMENT de la tabla `gastos`
--
ALTER TABLE `gastos`
MODIFY `id` int(20) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=18;
--
-- AUTO_INCREMENT de la tabla `venta`
--
ALTER TABLE `venta`
MODIFY `id` int(20) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=46;
/*!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 */;
|
1)TEMP 테이블에서 SALARY(연봉)을 이용하여 월 급여를 알아보는 SQL을 작성하시요.
월 급여는 연봉을 18로 나누어 홀수 달에는 연봉의 1/18 이 지급되고,
짝수 달에는 연봉의 2/18 가 지급된다고 가정했을 때 홀수 달과 짝수 달에
받을 금액을 SELECT 해 보세요.
SELECT EMP_NAME ,SALARY/18,SALARY*2/18 FROM TEMP;SELECT EMP_NAME ,SALARY/18,SALARY*2/18 FROM TEMP;
2) 위에서 구한 월 급여에 교통비가 10만원씩 지급된다면 (짝수 달은20만원) 위의 문장이 어떻게 바뀔 지
작성해 보세요.
SELECT EMP_NAME, SALARY/18+100000 "100000+SAL",SALARY/18+200000 "200000+SAL" FROM TEMP;SELECT EMP_NAME, SALARY+100000,SALARY+200000 FROM TEMP;
3)TEMP 의 자료 중 EMP_ID 와 EMP_NAME 을 각각 ‘사번’,‘성명’
으로 표시되어DISPLAY 되도록 COLUMN ALIAS를 부여하여 SELECT 하시오.
SELECT EMP_ID "사번" ,EMP_NAME "성명" FROM TEMP;SELECT EMP_ID "사번" ,EMP_NAME "성명" FROM TEMP;
4) TEMP 에서 성명을 보여줄 때 직급을 괄호 안에 함께 보여주는 SQL을 작성하시요.
SELECT EMP_NAME||'('||LEV||')' "성명" FROM TEMP;
SELECT EMP_NAME||''''||LEV||'''' "성명" FROM TEMP;SELECT EMP_NAME||'('||LEV||')' "성명" FROM TEMP;
5) TEMP 테이블에서 HOBBY(취미) 가 NULL 이 아닌 사람의
성명을 읽어오는 SQL을 작성하시요.
SELECT EMP_NAME FROM TEMP WHERE HOBBY IS NOT NULL;
6) TEMP테이블에서 성명과 생년월일을 작은따옴표로 묶어서
하나의 문자열로 보여주는 SQL을 작성하시요.
SELECT ''''||EMP_NAME||BIRTH_DATE||'''' "NAME_BIRTH" FROM TEMP;
7)EMP 테이블을 이용해서 취미가 있는 사람 중
직급이 과장인 사람의 사번, 성명, 취미를 읽어오는
SQL을 작성 하시오.
SELECT EMP_ID, EMP_NAME, HOBBY FROM TEMP
WHERE HOBBY IS NOT NULL AND LEV='과장';
|
drop database if exists Thao_Tac_Voi_Bang;
create database Thao_Tac_Voi_Bang;
use Thao_Tac_Voi_Bang;
create table contact(
id int primary key auto_increment,
last_name varchar(30),
first_name varchar(30),
birth_day date
);
create table suppliers(
supplier_id int primary key auto_increment,
supplier_name varchar(30),
account_rep varchar(50)
);
drop table suppliers;
|
/*
==============================================================
FUNCTION BASED INDEXES
==============================================================
- All functions must be specified with parentheses, even if they
have no parameters. Otherwise Oracle Database interprets them
as column names.
- Any user-defined function referenced in column_expression must
be declared as DETERMINISTIC.
*/
CREATE INDEX first_name_idx ON user_data (UPPER(first_name));
SELECT *
FROM user_data
WHERE UPPER(first_name) = 'JOHN2';
CREATE INDEX first_name_idx ON user_data (gender, UPPER(first_name), dob);
/*
Remember, function-based indexes require more effort to maintain
than regular indexes, so having concatenated indexes in this manner
may increase the incidence of index maintenance compared to a
function-based index on a single column.
*/
/*
You create the following function-based index:
CREATE INDEX ix_workweek ON fridge ( TO_CHAR(expiry_date, 'IW') )
If you now use a clause like
WHERE TO_CHAR(expiry_date, 'IW') = '20'
you can see all products with an expiry date in workweek twenty
using the index ix_workweek; the single quotes in the WHERE clause are
included because the resulting expression is of type VARCHAR2.
Avoid implicit conversions as much as possible; not because of the almost
negligible conversion performance penalty but because you rely on Oracle
to do it right in the background and it is considered bad style!
If you always look for things ending with a series of characters, such
as LIKE '%ABC' you can use an index. Just create the index on
CREATE INDEX ix_col_name_ling on (REVERSE( col_name )) ;
and reverse the string you are looking for itself, and voilà, it works:
WHERE REVERSE ( col_name ) LIKE 'CBA%'.
*** NOTICE ***
Don't mix up the example above with
CREATE INDEX ix_col_name_ling on ( col_name ) REVERSE ;
that does almost the same thing but make the optimizer totally ignores
Reverse Key Indexes when processing Range Predicates (eg. BETWEEN, <, >, <=, >=, LIKE etc.).
*/ |
CREATE TABLE users(
id serial,
name varchar(100) not null,
lastName varchar(100) null,
email varchar(100) null unique,
active boolean default false,
primary key(id)
);
CREATE TABLE activation_tokens(
id serial,
user_id int not null,
token varchar not null,
primary key(id),
foreign key(user_id) references users(id) on delete cascade
); |
select count(*) from qyxx_gaxx_zfrz g
left join qyxx_cpjtxx c on c.cyid = g.cyid
left join sys_jgxxb j on j.jgid = c.hjxxdz
where 1 = 1 and j.jgbm like '4290040' || '%'
and to_char(g.zftime, 'MM') = '07';
|
실행계획 : SQL을 내부적으로 어떤 절차를 거쳐서 실행할지 로직을 작성
* 계산하는데 비싼 연산 비용이 필요(시간)
2개의 테이블을 조인하는 SQL
2개의 테이블에 각각 인덱스가 5개가 있다면
가능한 실행계획 조합 몇개?? 굉장히 많다 ==> 짧은 시간안에 해내야 한다(응답을 빨리 해야하므로)
만약 동일한 SQL이 실행될 경우 기존에 작성된 실행계획이 존재할 경우
새롭게 만들지 않고 재활용을 한다(리소스 절약)
테이블 접근 방법 : 테이블 전체(1), 각각의 인덱스(5)
a => b
b => a
경우의 수 : 36개 * 2개 = 72개
동일한 SQL 이란 : SQL 문장의 대소문자 공백까지 일치하는 SQL
아래 두개의 sql 을 서로 다른 SQL 로 인식한다
SELECT * FROM emp;
Select * FROM emp;
특정직원의 정보를 조회하고 싶은데 : 사번을 이용해서
Select /*202004_B*/*
FROM emp
WHERE empno = :empno;
--바인드 변수가 더 중요한 이유 sql실행결과를 공유할 수 있다
SELECT *
FROM user_tables;
SELECT *
FROM ALL_tables;
SELECT *
FROM DBA_tables;
SELECT *
FROM dictionary;
Multiple insert :여러건의 데이터를 동시에 입력하는 insert 의 확장구문
1. uncoditional insert : 동일한 값을 여러 테이블에 입력하는 경우
문법:
INSERT ALL
INTO 테이블명
[,INTO 테이블명]
VALUES(....) | SELECT QUERY;
SELECT *
FROM emp_test;
mp_test 테아블을 이용하여 emp_test2 테이블 생성
CREATE TABLE emp_test2 AS
SELECT *
FROM emp_test
WHERE 1 = 2; --데이터는 복사하지 않겠다
EMPNO, ENAME, DEPTNO
emp_test, emp_test2 테이블에 동시에 입력
INSERT ALL
INTO emp_test
INTO emp_test2
SELECT 9998, 'brown', 88 FROM dual UNION ALL
SELECT 9997, 'cony', 88 FROM dual;
select *
from emp_test;
2. conditional insert : 조건에 따라서 입력할 테이블을 결정
문법
INSERT ALL
WHEN 조건 ..... THEN
INTO 입력 테이블 VALUES
WHEN 조건 ..... THEN
INTO 입력 테이블2 VALUES
ELSE
INTO 입력 테이블3 VALUES
SELECT 결과의 행의 값이 EMPNO = 9998 이면 EMP_TEST 에만 데이터를 입력
그 외에는 EMP_TEST2에 데이터를 입력
;
INSERT ALL
WHEN empno = 9998 THEN
INTO emp_test VALUES (empno, ename, deptno)
ELSE
INTO emp_test2 (empno, deptno) VALUES (empno, deptno)
SELECT 9998 empno, 'brown' ename, 88 deptno FROM dual UNION ALL
SELECT 9997, 'cony', 88 FROM dual;
ROLLBACK;
conditional insert (all) ==> first : 조건을 만족하는 첫 번째 WHEN 절만 실행
;
INSERT ALL
WHEN empno <= 9998 THEN
INTO emp_test VALUES (empno, ename, deptno)
WHEN empno <= 9997 THEN
INTO emp_test2 VALUES (empno, ename, deptno)
SELECT 9998 empno, 'brown' ename, 88 deptno FROM dual UNION ALL
SELECT 9997, 'cony', 88 FROM dual;
ROLLBACK;
INSERT FIRST
WHEN empno <= 9998 THEN
INTO emp_test VALUES (empno, ename, deptno)
WHEN empno <= 9997 THEN
INTO emp_test2 VALUES (empno, ename, deptno)
SELECT 9998 empno, 'brown' ename, 88 deptno FROM dual UNION ALL
SELECT 9997, 'cony', 88 FROM dual;
SELECT *
FROM emp_test;
SELECT *
FROM emp_test2;
MERGE : 하나의 데이터 셋을 다른 테이블로 데이터를 신규 입력, 또는 업데이트 하는 쿼리
문법 :
MERGE INTO 머지 대상(emp_test)
USING (다른 테이블| VIEW | subquery)
ON (머지대상과 USING 절의 연결 조건 기술)
WHEN NOT MATCHED THEN
INSERT (coll, coll2...) VALUES (values1, values2...)
WHEN MATCHED THEN
UPDATE SET coll = values , coll2 = values2
1. 다른 데이터로 부터 특정 테이블로 데이터를 머지 하는 경우
2. KEY가 없을 경우 INSERT
KEY가 있을 때 UPDATE
emp 테이블의 데이터를 emp_test 테이블로 통합
emp 테이블에는 존재하고 emp_test 테이블에는 존재하지 않는 직원의 신규입력
emp 테이블에는 존재하고 emp_test 테이블에는 존재하는 직원의 이름 신규입력
;
/*
9998 brown 88
9997 cony 88
7369 cony 88
*/
INSERT INTO emp_test VALUES(7369, 'cony', 88);
emp테이블의 14건 데이터를 emp_test테이블에 동일한 empno 가 존재하는지 건사해서
동일한 empno가 없으면 insert-empno, ename, 동일한 empno 가 없으면 update_ename
SELECT *
FROM emp_test;
MERGE INTO emp_test
USING emp
ON (emp_test.empno = emp.empno)
WHEN NOT MATCHED THEN
INSERT (empno, ename) VALUES (emp.empno, emp.ename)
WHEN MATCHED THEN
UPDATE SET ename = emp.ename;
위의 시나리오는 하나의 테이블에서 다른 테이블을 머지하는 경우
9999번 사번으로 신규 입력하거나, 업데이트를 하고 싶을 때
(사용ㅇ자가 9999번, james 사원을 등록하거나, 업데이트 하고 싶을 때)
위의 경우는 테이블 ==> 다른 테이블로 머지
이번에 하는 시나리오 : 데이터를 ==> 특정 테이블로 머지
(9999, james)
MERGE 구문을 사용하지 않은면
데이터존재 유무를 위해 SELECT 실행
SELECT *
FROM emp_test
WHERE empno = 9999;
데이터가 있으면 ==> UPDATE
데이터가 없으면 ==> INSERT
MERGE INTO emp_test
USING dual
ON (emp_test.empno = 9999)
WHEN NOT MATCHED THEN
INSERT (empno, ename) VALUES (9999, 'james')
WHEN MATCHED THEN
UPDATE SET ename = 'james';
SELECT *
FROM emp_test;
MERGE INTO emp_test
USING (SELECT 9999 eno, 'james' enm
FROM dual) a
ON (emp_test.empno = a.eno)
WHEN NOT MATCHED THEN
INSERT (empno, ename) VALUES (9999, 'james')
WHEN MATCHED THEN
UPDATE SET ename = 'james';
emp 테이블의 7698번 직원의 이름을
emp_test 테이블의 9999번 직원의 이름으로 업데이트 하는 merge 구문 작성
만약 9999번 직워이 emp_test 에 없으면 empno = 9999,
ename = emp 테이블의 7698직원의 이름, deptno = null 로 신규입력
MERGE INTO emp
USING (SELECT empno, ename
FROM emp_test
WHERE empno = 9999) a
ON (emp.empno = a.eno)
WHEN NOT MATCHED THEN
INSERT (empno, ename) VALUES (9999, 'james')
WHEN MATCHED THEN
UPDATE SET ename = 'james';
SELECT deptno, SUM(sal)
FROM emp
GROUP BY deptno
UNION
SELECT null, SUM(sal)
FROM emp;
REPORT GROUP FUNCTION
emp 테이블을 이용하여 부서번호별 짓원의 급여 합과, 전체직원의 급여합을 조회하기 위해
GROUP BY 를 사용하는 두개의 SQL 로 나눠서 하나로 합치는 (UNION ==> UNION ALL) 작업을 진행
확장된 GROUP BY 3가지
1. GROUP BY BOLLUP
문법 : GROUP BY ROLLUP (컬럼, 컬럼2...)
목적 : 서브그룹을 만들어주는 용도
서브그룹 생성 방식 : ROLLUP 절에 기술항 컬럼을 오른쪽에서 부터 하나씩 제거하면서 서브그룹을 생성
생성된 서브그룹을 UNION 한 결과를 반환
SELECT job, deptno, SUM(sal) sal
FROM emp
GROUP BY ROLLUP(job, deptno);
서브그룹 : 1. GROUP BY job, deptno
UNION
2. GROUP BY job
UNION
3. 전체형 GROUP BY
;
SELECT job, deptno, SUM(sal) sal
FROM emp
GROUP BY job, deptno
UNION
SELECT job, NULL, SUM(sal) sal
FROM emp
GROUP BY job
UNION
SELECT NULL, NULL, SUM(sal) sal
FROM emp;
==> GROUP BY ROLLUP 으로 변경
SELECT deptno, SUM(sal)
FROM emp
GROUP BY ROLLUP(deptno);
서브그룹의 개수는 : ROLLUP 절에 기술한 컬럼 개수 : +1;
|
DROP DATABASE test;
CREATE DATABASE test;
USE test;
CREATE TABLE dummy
(
ID int NOT NULL,
NAME varchar(50) NOT NULL,
PRIMARY KEY(ID)
);
CREATE TABLE ACTIVITY
(
ID int NOT NULL,
USER_ID int NOT NULL,
EQUIPMENT_ID int NOT NULL,
AC_DATE DATETIME NOT NULL,
ENTERING boolean NOT NULL,
PRIMARY KEY(ID)
);
INSERT INTO dummy VALUES (0,"dummy1");
INSERT INTO dummy VALUES (1,"dummy2"); |
--Get a random record from a table
SELECT * FROM `table`
WHERE id >= (SELECT floor( RAND() * ((SELECT MAX(id) FROM `table`)-(SELECT MIN(id) FROM `table`)) + (SELECT MIN(id) FROM `table`)))
ORDER BY id LIMIT 1;
--Get several random records from a table
SELECT *
FROM `table` AS t1 JOIN (SELECT ROUND(RAND() * ((SELECT MAX(id) FROM `table`)-(SELECT MIN(id) FROM `table`))+(SELECT MIN(id) FROM `table`)) AS id) AS t2
WHERE t1.id >= t2.id
ORDER BY t1.id LIMIT 1; |
select
t1.id,
t1.broker_id,
t1.broker_id,
t1.user_id,
(case when t2.user_type=0 then 'Demo账户'
when t2.user_type=1 then '交易员'
when t2.user_type=2 then '跟随者' end
) as user_type,
(case when t1.status=1 then '待核查'
when t1.status=2 then '已处理'
when t1.status=3 then '人工判断无需处理' end
) as status,
t1.account_name,
t1.group_name,
t1.create_time,
t1.update_time
from sam.fake_account as t1 left join account.user_accounts as t2
on t1.broker_id=t2.broker_id and t1.user_id=t2.user_id and t1.account=t2.mt4_account
|
CREATE TABLE house (
id bigint(20) NOT NULL AUTO_INCREMENT,
room_num varchar(20) DEFAULT '' ,
city varchar(20) DEFAULT '' ,
community_id bigint(20) DEFAULT NULL,
community_name varchar(255) DEFAULT '' ,
building_id bigint(20) DEFAULT NULL ,
building_name varchar(255) DEFAULT '' ,
floor int(4) DEFAULT '1',
house_type varchar(20) DEFAULT '' ,
owner varchar(255) DEFAULT '' ,
mobile varchar(20) DEFAULT '' ,
enable int(1)
);
|
truncate table directsales_transactionhistory CASCADE;
truncate table directsales_nodehistory;
truncate table directsales_withdrawhistory;
select setval('directsales_bonus_id_seq', 1, false);
select setval('directsales_doubletrack_id_seq',1,false);
select setval('directsales_nodehistory_id_seq',1,false);
select setval('directsales_transactionhistory_id_seq',1,false);
delete from directsales_bonus;
select setval('directsales_bonus_id_seq',2,false);
delete from directsales_doubletrack where id<>1;
select setval('directsales_doubletrack_id_seq',2,false);
delete from auth_user where id<>1;
select setval('auth_user_id_seq',2,false); |
select COUNT(*)
from flight_delays;
SELECT name
FROM sqlite_master
WHERE type = 'table'
AND name NOT LIKE 'sqlite_%';
SELECT avg(arr_delay)
from flight_delays
where year = 2017
and month = 7;
SELECT max(arr_delay)
from flight_delays
where year = 2017
and month = 7;
-- In the cell below, write a SQL query that returns the
-- carrier (i.e., carrier),
-- flight number,
-- origin city name,
-- arrival city name,
-- and flight date
-- for the flight with the maximum arrival delay for the entire month of July 2017. Do not hard-code the arrival delay you found above. Hint: use a subquery.
select carrier, fl_num, origin_city_name, dest_city_name, fl_date
from flight_delays
where arr_delay = (SELECT max(arr_delay)
from flight_delays
where year = 2017
and month = 7);
-- In the cell below, write a SQL query that returns the
-- average arrival delay time for each day of the week,
-- in descending order.
-- The schema of your relation should be of the form (weekday_name, average_delay).
--
-- Note: do not report the weekday ID. (Hint: look at the weekdays table and perform a join to obtain the weekday name.)
select *
from weekdays;
-- select Count(*) from weekdays
select avg(flight_delays.arr_delay), weekdays.weekday_name
from flight_delays
inner join weekdays
on weekdays.weekday_id = flight_delays.day_of_week
group by day_of_week
order by avg(flight_delays.arr_delay) desc;
-- SELECT avg(flight_delays.arr_delay), weekdays.weekday_name
-- from flight_delays
-- inner join weekdays on weekdays.weekday_id = flight_delays.day_of_week;
-- Query 5: Which airlines that fly out of SFO are delayed least?
-- Now that I know which days to avoid, I'm curious which airline I should fly out of SFO. Since I haven't been told
-- where I'm flying, please just compute the average for the airlines that fly from SFO.
--
-- In the cell below, write a SQL query that returns the average arrival delay time (across all flights) for each
-- carrier that flew out of SFO at least once in July 2017 (i.e., in the current dataset), in descending order.
--
-- Note: do not report the airlines ID. (Hint: a subquery is helpful here; also, look at the airlines table and
-- perform a join.)
select airline_id
from flight_delays
where origin = 'SFO'
group by airline_id;
-- correct airlines but incorrect value
select airline_name, avg(arr_delay)
from flight_delays
inner join airlines
on flight_delays.airline_id = airlines.airline_id
where origin = 'SFO'
and year = 2017
and month = 7
group by airline_name
order by avg(arr_delay) desc;
-- correct airlines but incorrect value
select avg(arr_delay)
from (
select *
from flight_delays
where origin = 'SFO')
group by airline_id
order by avg(arr_delay) desc;
-- correct values but two extra airlines
select avg(arr_delay)
from flight_delays
where exists
(
select *
from flight_delays
where origin = 'SFO'
)
group by airline_id
order by avg(arr_delay) desc;
-- correct
select airline_name, avg(arr_delay)
from flight_delays
inner join airlines
on flight_delays.airline_id = airlines.airline_id
where flight_delays.airline_id in
(
select flight_delays.airline_id
from flight_delays
where origin = 'SFO'
)
group by airline_name
order by avg(arr_delay) desc;
-- Query 6: What proportion of airlines are regularly late?
--
-- Yeesh, there are a lot of late flights! How many airlines are regularly late?
--
-- In the cell below, write a SQL query that returns the proportion of airlines (appearing in flight_delays) whose
-- flights are on average at least 10 minutes late to arrive. Do not hard-code the total number of airlines, and
-- make sure to use at least one HAVING clause in your SQL query.
--
-- Note: sqlite COUNT(*) returns integer types. Therefore, your query should likely contain at least one
-- SELECT CAST (COUNT(*) AS float) or a clause like COUNT(*)*1.0.
select count(*)
from (
SELECT airline_id
from flight_delays
group by airline_id
having avg(arr_delay) >= 10);
select CAST(count(distinct airline_id) as float)
from flight_delays;
SELECT (select count(*)
from (
SELECT airline_id
from flight_delays
group by airline_id
having avg(arr_delay) >= 10))
/
(select CAST(count(distinct airline_id) as float)
from flight_delays)
as late_proportion;
-- Query 7: How do late departures affect late arrivals?
------------------------
-- It sure looks like my plane is likely to be delayed. I'd like to know: if my plane is delayed in taking off,
-- how will it affect my arrival time?
--
-- The [sample covariance](https://en.wikipedia.org/wiki/Covariance) provides a measure of the joint variability
-- of two variables. The higher the covariance, the more the two variables behave similarly, and negative covariance
-- indicates the variables indicate the variables tend to be inversely related. We can compute the sample covariance as:
-- $$
-- Cov(X,Y) = \frac{1}{n-1} \sum_{i=1}^n (x_i-\hat{x})(y_i-\hat{y})
-- $$
-- where $x_i$ denotes the $i$th sample of $X$, $y_i$ the $i$th sample of $Y$, and the mean of $X$ and $Y$ are denoted
-- by $\bar{x}$ and $\bar{y}$.
--
-- In the cell below, write a single SQL query that computes the covariance between the departure delay time and the
-- arrival delay time.
--
-- *Note: we could also compute a statistic like the [Pearson correlation coefficient](https://en.wikipedia.org/wiki/
-- Pearson_correlation_coefficient) here, which provides a normalized measure (i.e., on a scale from -1 to 1) of how
-- strongly two variables are related. However, sqlite doesn't natively support square roots (unlike commonly-used re
-- lational databases like PostgreSQL and MySQL!), so we're asking you to compute covariance instead.*
select 1 / (select cast(count(*) as float) - 1 from flight_delays);
select arr_delay - (
select avg(arr_delay)
from flight_delays)
from flight_delays;
select dep_delay - (
select avg(dep_delay)
from flight_delays)
from flight_delays;
select sum(all
(
arr_delay - (
select avg(arr_delay)
from flight_delays)
)
*
(
dep_delay - (
select avg(dep_delay)
from flight_delays)
)
)
from flight_delays;
select 1
/ (select cast(count(*) as float) - 1 from flight_delays)
* (select sum(all
(
arr_delay - (
select avg(arr_delay)
from flight_delays)
)
*
(
dep_delay - (
select avg(dep_delay)
from flight_delays)
)
)
from flight_delays)
as covariance;
-- Query 8: It was a bad week...
--
-- Which airlines had the largest absolute increase in average arrival delay in the last week of
-- July (i.e., flights on or after July 24th) compared to the previous days (i.e. flights before July 24th)?
--
-- In the cell below, write a single SQL query that returns the airline name (not ID) with the maximum absolute
-- increase in average arrival delay between the first 23 days of the month and days 24-31. Report both the
-- airline name and the absolute increase.
--
-- Note: due to sqlite's handling of dates, it may be easier to query using day_of_month.
--
-- Note 2: This is probably the hardest query of the assignment; break it down into subqueries that you can run
-- one-by-one and build up your answer subquery by subquery.
--
-- Hint: You can compute two subqueries, one to compute the average arrival delay for flights on or after July
-- 24th, and one to compute the average arrival delay for flights before July 24th, and then join the two to
-- calculate the increase in delay.
select airline_id, avg(arr_delay)
from flight_delays
where day_of_month >= 1
and day_of_month < 24
and month = 7
and year = 2017
group by airline_id;
select airline_id, avg(arr_delay)
from flight_delays
where day_of_month >= 24
and day_of_month <= 31
and month = 7
and year = 2017
group by airline_id;
-- get last average
-- subtract first average when id = id
select avg(a.arr_delay), avg(b.arr_delay)
from flight_delays a,
flight_delays b
where a.day_of_month >= 1
and a.day_of_month < 24
and a.month = 7
and a.year = 2017
and b.day_of_month >= 24
and b.day_of_month <= 31
and b.month = 7
and b.year = 2017
group by a.airline_id;
select b
from (
select airline_id, avg(arr_delay) b
from flight_delays
where day_of_month >= 24
and day_of_month <= 31
and month = 7
and year = 2017
group by airline_id
) a
where b >
(
select avg(arr_delay)
from flight_delays
where day_of_month >= 1
and day_of_month < 24
and month = 7
and year = 2017
group by airline_id
);
--one right answer, no airline, many mismatches
select (b - a)
from (
select airline_id, avg(arr_delay) b
from flight_delays
where day_of_month >= 24
and day_of_month <= 31
and month = 7
and year = 2017
group by airline_id
) eom
,
(
select airline_id, avg(arr_delay) a
from flight_delays
where day_of_month >= 1
and day_of_month < 24
and month = 7
and year = 2017
group by airline_id
) bom
where eom.airline_id = bom.airline_id;
select (end_of_month_avg - beginning_of_month_avg) delay_change, airline_name, airlines.airline_id
from (
select airline_id, avg(arr_delay) end_of_month_avg
from flight_delays
where day_of_month >= 24
and day_of_month <= 31
and month = 7
and year = 2017
group by airline_id
) end_of_month
,
(
select airline_id, avg(arr_delay) beginning_of_month_avg
from flight_delays
where day_of_month >= 1
and day_of_month < 24
and month = 7
and year = 2017
group by airline_id
) beginning_of_month
inner join airlines
on end_of_month.airline_id = airlines.airline_id
where end_of_month.airline_id = beginning_of_month.airline_id
group by end_of_month.airline_id
order by delay_change desc;
select airline_name, max(delay_change) delay_increase
from (
select (end_of_month_avg - beginning_of_month_avg) delay_change, end_of_month.airline_id airId
from (
select airline_id, avg(arr_delay) end_of_month_avg
from flight_delays
where day_of_month >= 24
and day_of_month <= 31
and month = 7
and year = 2017
group by airline_id
) end_of_month
,
(
select airline_id, avg(arr_delay) beginning_of_month_avg
from flight_delays
where day_of_month >= 1
and day_of_month < 24
and month = 7
and year = 2017
group by airline_id
) beginning_of_month
where end_of_month.airline_id = beginning_of_month.airline_id
)
inner join airlines
on airId = airlines.airline_id;
-- Query 9: Of Hipsters and Anarchists
-- ------------------------
-- I'm keen to visit both Portland (PDX) and Eugene (EUG), but I can't fit both into the same trip.
-- To maximize my frequent flier mileage, I'd like to use the same flight for each.
-- Which airlines fly both SFO -> PDX and SFO -> EUG?
--
-- In the cell below, write a single SQL query that returns the distinct airline names
-- (_not_ ID, and with no duplicates) that flew both SFO -> PDX and SFO -> EUG in July 2017.
;
select airline_name,
(
select distinct airline_id
from flight_delays
where origin = 'SFO'
and dest = 'PDX'
intersect
select distinct airline_id
from flight_delays
where origin = 'SFO'
and dest = 'EUG'
)
from flight_delays
inner join airlines
on flight_delays.airline_id = airlines.airline_id;
SELECT airline_name
from (select distinct flight_delays.airline_id, airlines.airline_name
from flight_delays
inner join airlines
on flight_delays.airline_id = airlines.airline_id
where origin = 'SFO'
and dest = 'PDX'
intersect
select distinct flight_delays.airline_id, airlines.airline_name
from flight_delays
inner join airlines
on flight_delays.airline_id = airlines.airline_id
where origin = 'SFO'
and dest = 'EUG');
select distinct airlines.airline_name
from flight_delays
inner join airlines
on flight_delays.airline_id = airlines.airline_id
where origin = 'SFO'
and dest = 'PDX'
intersect
select distinct airlines.airline_name
from flight_delays
inner join airlines
on flight_delays.airline_id = airlines.airline_id
where origin = 'SFO'
and dest = 'EUG';
-- Query 10: Decision Fatigue and Equidistance
-- ------------------------
-- I'm flying back to Stanford from Chicago later this month, and I can fly out of
-- either Midway (MDW) or O'Hare (ORD) and can fly into either San Francisco (SFO), San Jose (SJC), or Oakland (OAK).
-- If this month is like July, which leg will have the shortest arrival delay for
-- flights leaving Chicago after 2PM local time?
--
-- In the cell below, write a single SQL query that returns the average arrival delay of flights
-- departing either MDW or ORD after 2PM local time (`crs_dep_time`) and arriving at one of
-- SFO, SJC, or OAK.
-- Group by departure and arrival airport and return results descending by arrival delay.
--
-- Note: the `crs_dep_time` field is an integer formatted as hhmm (e.g. 4:15pm is 1615)
select *
from flight_delays
where crs_dep_time > 1400;
select *
from flight_delays
where crs_dep_time > 1400
intersect
select *
from flight_delays
where origin = 'MDW'
or 'ORD';
select origin, dest, arr_delay
from flight_delays
where crs_dep_time > 1400
intersect
select origin, dest, arr_delay
from flight_delays
where origin = 'MDW'
or origin = 'ORD'
intersect
select origin, dest, arr_delay
from flight_delays
where dest = 'SFO'
or origin = 'SJC'
or origin = 'OAK';
select distinct dest, origin
from flight_delays
where crs_dep_time > 1400
and month = 7
and year = 2017
and (origin = 'MDW' or origin = 'ORD')
and (dest = 'SFO' or dest = 'SJC' or dest = 'OAK');
select origin, dest, avg(arr_delay)
from flight_delays
where crs_dep_time > 1400
and month = 7
and year = 2017
and origin = 'MDW'
and dest = 'SFO';
--
-- select distinct origin, dest, avg(arr_delay)
-- from (
-- select origin, dest, arr_delay
-- from flight_delays
-- where month = 7
-- and year = 2017
-- intersect
-- select origin, dest, arr_delay
-- from flight_delays
-- where crs_dep_time > 1400
-- intersect
-- select origin, dest, arr_delay
-- from flight_delays
-- where origin = 'MDW'
-- or origin = 'ORD'
-- intersect
-- select origin, dest, arr_delay
-- from flight_delays
-- where dest = 'SFO'
-- or dest = 'SJC'
-- or dest = 'OAK'
-- )
-- group by origin, dest
-- order by avg(arr_delay) desc;
select distinct origin, dest, avg(arr_delay)
from flight_delays
where crs_dep_time > 1400
and month = 7
and year = 2017
and (origin = 'MDW' or origin = 'ORD')
and (dest = 'SFO' or dest = 'SJC' or dest = 'OAK')
group by origin, dest
order by avg(arr_delay) desc; |
-- 1. get all statuses, not repeating, alphabetically ordered
SELECT tasks.status FROM tasks GROUP BY status ORDER BY status;
-- 2. get the count of all tasks in each project, order by tasks count descending
SELECT projects.id as `project_id`, COUNT(tasks.id) as `count of tasks`
FROM projects JOIN tasks ON projects.id = tasks.project_id
GROUP BY projects.id ORDER BY COUNT(tasks.id) DESC;
-- 3. get the count of all tasks in each project, order by projects names
SELECT projects.name as `project name`, COUNT(tasks.id) as `count of tasks`
FROM projects JOIN tasks ON projects.id = tasks.project_id GROUP BY projects.id ORDER BY projects.name;
-- 4. get the tasks for all projects having the name beginning with “N” letter
SELECT projects.name as `project name`, tasks.name FROM projects JOIN tasks
ON projects.id = tasks.project_id WHERE projects.name LIKE 'N%';
-- 5. get the list of all projects containing the ‘a’ letter in the middle of the name, and
-- show the tasks count near each project. Mention that there can exist projects without
-- tasks and tasks with project_id=NULL
SELECT projects.name as `project name`, COUNT(tasks.id) as `count of tasks`
FROM projects RIGHT JOIN tasks ON projects.id = tasks.project_id
WHERE projects.name LIKE '%a%' GROUP BY projects.id;
-- 6. get the list of tasks with duplicate names. Order alphabetically
SELECT tasks.name FROM tasks GROUP BY tasks.name HAVING COUNT(*) > 1;
-- 7. get the list of tasks having several exact matches of both name and status, from
-- the project ‘Garage’. Order by matches count
SELECT tasks.name as `task name`, COUNT(tasks.name) as `count`
FROM projects JOIN tasks ON projects.id = tasks.project_id WHERE projects.name = 'Garage'
GROUP BY tasks.name HAVING COUNT(tasks.name) > 1 AND COUNT(tasks.status) > 1
ORDER BY COUNT(tasks.name) AND COUNT(tasks.status);
-- 8. get the list of project names having more than 10 tasks in status ‘completed’. Order
-- by project_id
SELECT projects.name as `project` FROM projects JOIN tasks ON projects.id = tasks.project_id
WHERE tasks.status = 'Complete' GROUP BY projects.id HAVING COUNT(tasks.id) > 10 ORDER BY projects.id;
|
/*
Name: Amount of searches articles yesterday
Data source: 4
Created By: Admin
Last Update At: 2016-05-13T18:07:27.287511+00:00
*/
SELECT count(*) AS Save_Count
FROM
(SELECT string(post_prop26) AS Articles,
COUNT(DISTINCT string(post_prop26)) save,
FROM (TABLE_QUERY(djomniture:cipomniture_djmansionglobal,"length(table_id) >= 4
AND year(MSEC_TO_TIMESTAMP(creation_time)) = year(CURRENT_DATE()) "))
WHERE post_page_event = "100"
AND (post_prop25 = "articleSaved")
AND DATE(date_time) = DATE(DATE_ADD(TIMESTAMP(current_Date()), -1, "DAY"))
GROUP BY Articles)
|
SELECT p.product_name, p.product_code, c.company_name, SUBSTRING(s.sales_date,1,4), SUM(s.volume*e.EXCH_RATE) FROM sales s
LEFT JOIN vproducts p ON s.product_code=p.product_code
LEFT JOIN vcompany c ON s.COMPANY_CODE=c.company_number
LEFT JOIN exchange_rate_to_eur e ON s.CURRENCY=e.CURRENCY
GROUP BY p.product_code, c.company_number, SUBSTRING(s.sales_date,1,4)
HAVING SUM(s.volume*e.EXCH_RATE)>0
ORDER BY p.product_code ASC, SUBSTRING(s.sales_date,1,4) DESC
;
|
-- MySQL dump 10.13 Distrib 8.0.21, for macos10.15 (x86_64)
--
-- Host: localhost Database: voting
-- ------------------------------------------------------
-- Server version 8.0.21
/*!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 */;
/*!50503 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 `user`
--
DROP TABLE IF EXISTS `user`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!50503 SET character_set_client = utf8mb4 */;
CREATE TABLE `user` (
`id` smallint unsigned NOT NULL AUTO_INCREMENT,
`username` varchar(16) NOT NULL,
`email` varchar(255) DEFAULT NULL,
`password` varchar(32) NOT NULL,
`create_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Table structure for table `user_vote`
--
DROP TABLE IF EXISTS `user_vote`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!50503 SET character_set_client = utf8mb4 */;
CREATE TABLE `user_vote` (
`id` int unsigned NOT NULL AUTO_INCREMENT,
`user_id` smallint unsigned NOT NULL,
`vote_id` smallint unsigned NOT NULL,
`vote_option_id` smallint unsigned NOT NULL,
`create_time` timestamp NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Table structure for table `vote`
--
DROP TABLE IF EXISTS `vote`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!50503 SET character_set_client = utf8mb4 */;
CREATE TABLE `vote` (
`id` smallint NOT NULL AUTO_INCREMENT,
`type` char(1) NOT NULL,
`title` varchar(45) NOT NULL,
`end_time` timestamp NOT NULL,
`creator` smallint NOT NULL,
`create_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Table structure for table `vote_option`
--
DROP TABLE IF EXISTS `vote_option`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!50503 SET character_set_client = utf8mb4 */;
CREATE TABLE `vote_option` (
`vote_option_id` int unsigned NOT NULL AUTO_INCREMENT,
`vote_id` smallint NOT NULL,
`option_seq` tinyint NOT NULL,
`description` varchar(45) NOT NULL,
`create_time` timestamp NULL DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`vote_option_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*!40101 SET character_set_client = @saved_cs_client */;
/*!40103 SET TIME_ZONE=@OLD_TIME_ZONE */;
/*!40101 SET SQL_MODE=@OLD_SQL_MODE */;
/*!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS */;
/*!40014 SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS */;
/*!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 */;
/*!40111 SET SQL_NOTES=@OLD_SQL_NOTES */;
-- Dump completed on 2020-08-15 12:34:09
|
CREATE TABLE [display].[u_happynow_factor_data]
(
[sys_id_display_value] NVARCHAR(255) NULL,
[u_domain_id_display_value] NVARCHAR(80) NULL,
[u_number_display_value] NVARCHAR(80) NULL,
[u_factor_id_display_value] NVARCHAR(255) NULL,
[sys_mod_count_display_value] INT NULL,
[sys_updated_on_display_value] DATETIME NULL,
[sys_tags_display_value] NVARCHAR(80) NULL,
[sys_updated_by_display_value] NVARCHAR(255) NULL,
[u_related_feedback_display_value] NVARCHAR(80) NULL,
[sys_created_on_display_value] DATETIME NULL,
[sys_domain_display_value] NVARCHAR(80) NULL,
[u_factor_mood_display_value] NVARCHAR(80) NULL,
[u_factor_text_display_value] NVARCHAR(255) NULL,
[sys_created_by_display_value] NVARCHAR(255) NULL,
) |
-- phpMyAdmin SQL Dump
-- version 3.4.10.1
-- http://www.phpmyadmin.net
--
-- 主机: localhost
-- 生成日期: 2015 年 10 月 11 日 09:05
-- 服务器版本: 5.5.20
-- PHP 版本: 5.3.10
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 */;
--
-- 数据库: `newedu`
--
-- --------------------------------------------------------
--
-- 表的结构 `login`
--
CREATE TABLE IF NOT EXISTS `login` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`username` varchar(30) CHARACTER SET utf8 NOT NULL,
`password` varchar(40) CHARACTER SET utf8 NOT NULL,
`sex` varchar(20) CHARACTER SET utf8 DEFAULT NULL,
`email` varchar(20) CHARACTER SET utf8 DEFAULT NULL,
`pnumber` int(20) DEFAULT NULL,
`imgpath` varchar(40) CHARACTER SET utf8 DEFAULT NULL,
`modify` datetime DEFAULT NULL,
`createtime` datetime DEFAULT NULL,
`version` tinyint(6) NOT NULL,
`character` varchar(20) CHARACTER SET utf8 DEFAULT NULL,
`exta` varchar(255) CHARACTER SET utf8 DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=2 ;
--
-- 转存表中的数据 `login`
--
INSERT INTO `login` (`id`, `username`, `password`, `sex`, `email`, `pnumber`, `imgpath`, `modify`, `createtime`, `version`, `character`, `exta`) VALUES
(1, 'lio', '123', '1', '123@qq.com', 15764, '', NULL, NULL, 0, '老师', NULL);
/*!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 DATABASE IF EXISTS `desi_vendas`;
CREATE DATABASE `desi_vendas`;
USE `desi_vendas`;
SET NAMES utf8 ;
SET character_set_client = utf8mb4 ;
CREATE TABLE `tipo_pagamento` (
`id_tipo_pagamento` tinyint(4) NOT NULL AUTO_INCREMENT,
`nome` varchar(50) NOT NULL,
PRIMARY KEY (`id_tipo_pagamento`)
) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
INSERT INTO `tipo_pagamento` VALUES (1,'Cartão de Crédito');
INSERT INTO `tipo_pagamento` VALUES (2,'Dinheiro');
INSERT INTO `tipo_pagamento` VALUES (3,'PayPal');
INSERT INTO `tipo_pagamento` VALUES (4,'Transferência Eletrônica');
CREATE TABLE `cliente` (
`id_cliente` int(11) NOT NULL,
`nome` varchar(50) NOT NULL,
`endereco` varchar(50) NOT NULL,
`cidade` varchar(50) NOT NULL,
`estado` char(2) NOT NULL,
`telefone` varchar(50) DEFAULT NULL,
PRIMARY KEY (`id_cliente`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
INSERT INTO `cliente` VALUES (1,'Vicente','Rua Nevada, 3','Tubarão','SC','483252-7305');
INSERT INTO `cliente` VALUES (2,'Marcos','Avenida Ivo Silveira, 34267','Florianópolis','SC','483659-1170');
INSERT INTO `cliente` VALUES (3,'Yadel','Rua São Geraldo, 96 ','São Paulo','SP','115144-6037');
INSERT INTO `cliente` VALUES (4,'Kaio','Rua Patrício Lima, 81674','Rio de Janeiro','RJ','215750-0784');
INSERT INTO `cliente` VALUES (5,'Teresa','Avenida Mauro Ramos, 863','Porto Alegre','RS','114888-9129');
CREATE TABLE `compra` (
`id_compra` int(11) NOT NULL,
`numero` varchar(50) NOT NULL,
`id_cliente` int(11) NOT NULL,
`total_compra` decimal(9,2) NOT NULL,
`total_pagamento` decimal(9,2) NOT NULL DEFAULT '0.00',
`data_compra` date NOT NULL,
`data_limite` date NOT NULL,
`data_pagamento` date DEFAULT NULL,
PRIMARY KEY (`id_compra`),
KEY `FK_id_cliente` (`id_cliente`),
CONSTRAINT `fk_id_cliente` FOREIGN KEY (`id_cliente`) REFERENCES `cliente` (`id_cliente`) ON DELETE RESTRICT ON UPDATE CASCADE
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
INSERT INTO `compra` VALUES (1,'91-953-3396',2,101.79,0.00,'2019-03-09','2019-03-29',NULL);
INSERT INTO `compra` VALUES (2,'03-898-6735',5,175.32,8.18,'2019-06-11','2019-07-01','2019-02-12');
INSERT INTO `compra` VALUES (3,'20-228-0335',5,147.99,0.00,'2019-07-31','2019-08-20',NULL);
INSERT INTO `compra` VALUES (4,'56-934-0748',3,152.21,0.00,'2019-03-08','2019-03-28',NULL);
INSERT INTO `compra` VALUES (5,'87-052-3121',5,169.36,0.00,'2019-07-18','2019-08-07',NULL);
INSERT INTO `compra` VALUES (6,'75-587-6626',1,157.78,74.55,'2019-01-29','2019-02-18','2019-01-03');
INSERT INTO `compra` VALUES (7,'68-093-9863',3,133.87,0.00,'2019-09-04','2019-09-24',NULL);
INSERT INTO `compra` VALUES (8,'78-145-1093',1,189.12,0.00,'2019-05-20','2019-06-09',NULL);
INSERT INTO `compra` VALUES (9,'77-593-0081',5,172.17,0.00,'2019-07-09','2019-07-29',NULL);
INSERT INTO `compra` VALUES (10,'48-266-1517',1,159.50,0.00,'2019-06-30','2019-07-20',NULL);
INSERT INTO `compra` VALUES (11,'20-848-0181',3,126.15,0.03,'2019-01-07','2019-01-27','2019-01-11');
INSERT INTO `compra` VALUES (13,'41-666-1035',5,135.01,87.44,'2019-06-25','2019-07-15','2019-01-26');
INSERT INTO `compra` VALUES (15,'55-105-9605',3,167.29,80.31,'2019-11-25','2019-12-15','2019-01-15');
INSERT INTO `compra` VALUES (16,'10-451-8824',1,162.02,0.00,'2019-03-30','2019-04-19',NULL);
INSERT INTO `compra` VALUES (17,'33-615-4694',3,126.38,68.10,'2019-07-30','2019-08-19','2019-01-15');
INSERT INTO `compra` VALUES (18,'52-269-9803',5,180.17,42.77,'2019-05-23','2019-06-12','2019-01-08');
INSERT INTO `compra` VALUES (19,'83-559-4105',1,134.47,0.00,'2019-11-23','2019-12-13',NULL);
CREATE TABLE `pagamento` (
`id_pagamento` int(11) NOT NULL AUTO_INCREMENT,
`id_cliente` int(11) NOT NULL,
`id_compra` int(11) NOT NULL,
`date` date NOT NULL,
`valor` decimal(9,2) NOT NULL,
`tipo_pagamento` tinyint(4) NOT NULL,
PRIMARY KEY (`id_pagamento`),
KEY `fk_id_cliente_idx` (`id_cliente`),
KEY `fk_id_compra_idx` (`id_compra`),
KEY `fk_pagamento_tipo_pagamento_idx` (`tipo_pagamento`),
CONSTRAINT `fk_pagamento_cliente` FOREIGN KEY (`id_cliente`) REFERENCES `cliente` (`id_cliente`) ON UPDATE CASCADE,
CONSTRAINT `fk_pagamento_compra` FOREIGN KEY (`id_compra`) REFERENCES `compra` (`id_compra`) ON UPDATE CASCADE,
CONSTRAINT `fk_pagamento_tipo_pagamento` FOREIGN KEY (`tipo_pagamento`) REFERENCES `tipo_pagamento` (`id_tipo_pagamento`)
) ENGINE=InnoDB AUTO_INCREMENT=9 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
INSERT INTO `pagamento` VALUES (1,5,2,'2019-02-12',8.18,1);
INSERT INTO `pagamento` VALUES (2,1,6,'2019-01-03',74.55,1);
INSERT INTO `pagamento` VALUES (3,3,11,'2019-01-11',0.03,1);
INSERT INTO `pagamento` VALUES (4,5,13,'2019-01-26',87.44,1);
INSERT INTO `pagamento` VALUES (5,3,15,'2019-01-15',80.31,1);
INSERT INTO `pagamento` VALUES (6,3,17,'2019-01-15',68.10,1);
INSERT INTO `pagamento` VALUES (7,5,18,'2019-01-08',32.77,1);
INSERT INTO `pagamento` VALUES (8,5,18,'2019-01-08',10.00,2);
|
insert into employee values (100, 'Aman', 20, 20000);
insert into employee values (101, 'Vinay', 21, 21000);
insert into employee values (102, 'Ankit', 22, 22000);
insert into employee values (103, 'Rahul', 23, 23000); |
CREATE TABLE IF NOT EXISTS users (
id SERIAL PRIMARY KEY,
email TEXT NOT NULL,
password TEXT NOT NULL,
updated_at TIMESTAMP DEFAULT NULL,
created_at TIMESTAMP DEFAULT NULL
);
|
INSERT INTO COMPOSITIONS
(
ID_compo,
nom_compo
)
VALUES
(
1,
'Cultures'
);
INSERT INTO COMPOSITIONS
(
ID_compo,
nom_compo
)
VALUES
(
2,
'Dunes, plages'
);
INSERT INTO COMPOSITIONS
(
ID_compo,
nom_compo
)
VALUES
(
3,
'Eaux douces intérieures (étangs, lacs, lagunes, mares, rivières, …)'
);
INSERT INTO COMPOSITIONS
(
ID_compo,
nom_compo
)
VALUES
(
4,
'Eaux marines (mer, estuaire, marais salants, prés salés, …)'
);
INSERT INTO COMPOSITIONS
(
ID_compo,
nom_compo
)
VALUES
(
5,
'Forêts et zones de plantations d’arbres (vergers, vignes)'
);
INSERT INTO COMPOSITIONS
(
ID_compo,
nom_compo
)
VALUES
(
6,
'Falaises, éboulis, rochers'
);
INSERT INTO COMPOSITIONS
(
ID_compo,
nom_compo
)
VALUES
(
7,
'Landes, broussailles, maquis, pelouses sèches, prairies'
);
INSERT INTO COMPOSITIONS
(
ID_compo,
nom_compo
)
VALUES
(
8,
'Marais, tourbières, prairies humides'
);
INSERT INTO COMPOSITIONS
(
ID_compo,
nom_compo
)
VALUES
(
9,
'Autres terres (incluant les zones urbanisées et industrielles, routes, décharges, mines)'
);
INSERT INTO COMPOSITIONS
(
ID_compo,
nom_compo
)
VALUES
(
10,
'Colline'
);
INSERT INTO COMPOSITIONS
(
ID_compo,
nom_compo
)
VALUES
(
11,
'Lette'
);
INSERT INTO COMPOSITIONS
(
ID_compo,
nom_compo
)
VALUES
(
12,
'Ile marine'
);
|
-- phpMyAdmin SQL Dump
-- version 4.5.1
-- http://www.phpmyadmin.net
--
-- Servidor: 127.0.0.1
-- Tiempo de generación: 07-04-2018 a las 16:42:33
-- Versión del servidor: 10.1.19-MariaDB
-- Versión de PHP: 7.0.13
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 datos: `test_crud_op`
--
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `members`
--
CREATE TABLE `members` (
`id` int(11) NOT NULL,
`firstname` varchar(30) NOT NULL,
`lastname` varchar(30) NOT NULL,
`address` text NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Volcado de datos para la tabla `members`
--
INSERT INTO `members` (`id`, `firstname`, `lastname`, `address`) VALUES
(1, 'Juan', 'Campos', 'San Jose'),
(2, 'Ana', 'Rodriguez', 'Guayas '),
(3, 'Luis', 'Bermudez', 'Calle los Almendros #115'),
(4, 'Evelin', 'Diaz', 'Sevilla'),
(5, 'Patricia', 'Espinal', 'Cadiz'),
(6, 'Walter', 'Perez', 'Valencia'),
(7, 'Rafael', 'Baires', 'Valencia'),
(8, 'Ernesto', 'Martinez', 'San Jose'),
(9, 'Miguel', 'Salamanca', 'Alejandria '),
(10, 'Erika', 'Lazo', 'San Jose, CR');
--
-- Índices para tablas volcadas
--
--
-- Indices de la tabla `members`
--
ALTER TABLE `members`
ADD PRIMARY KEY (`id`);
--
-- AUTO_INCREMENT de las tablas volcadas
--
--
-- AUTO_INCREMENT de la tabla `members`
--
ALTER TABLE `members`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=11;
/*!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 */;
|
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
IF EXISTS (SELECT *
FROM sys.objects
WHERE object_id = OBJECT_ID(N'[dbo].[prc_ClientPortal_UserLogin]') AND type in (N'P'))
DROP PROCEDURE [dbo].[prc_ClientPortal_UserLogin]
GO
CREATE PROC prc_ClientPortal_UserLogin
@Email varchar(100)
,@Password varchar(50)
,@UserMessage varchar(500) OUTPUT
,@ErrorMessage varchar(500) OUTPUT
AS
DECLARE
@MaxLoginAttempts int
,@PassPhrase varchar(50)
,@PasswordExpireEnabled bit
,@PasswordExpirePeriod int
,@UserInactiveEnabled bit
,@UserInactivePeriod int
,@EncryptedPassword varbinary(8000)
,@DecryptedPassword varchar(50)
,@LoginAttempts int
,@UserID int
,@Locked bit
,@Expired bit
,@PasswordDate datetime
,@LastLoginDate datetime
,@TimeElapsed int
SET NOCOUNT ON;
BEGIN TRANSACTION
BEGIN TRY
IF NOT EXISTS ( SELECT 1
FROM CWI_ClientContactPortal CWP
INNER JOIN CWI_ClientContact CC
ON CWP.Email = CC.Email
INNER JOIN CWI_Client C
ON C.ID = CC.ClientID
WHERE CC.IsDeleted = 0
AND CC.IsCWPortalUser = 1
AND CWP.IsEnabled = 1
AND CWP.Email = @Email)
SET @UserMessage = 'User does not exist.'
ELSE
BEGIN
/* Get Security Configuration for all users */
SELECT @MaxLoginAttempts = MaxLoginAttempts
,@PassPhrase = PasswordPassPhrase
,@PasswordExpireEnabled = PasswordExpireEnabled
,@PasswordExpirePeriod = PasswordExpirePeriod
,@UserInactiveEnabled = UserInactiveEnabled
,@UserInactivePeriod = UserInactivePeriod
FROM [dbo].[CWI_PasswordRule]
/* Get user information */
SELECT @UserID = [ID]
,@EncryptedPassword = [Password]
,@LoginAttempts = [LoginAttempts]
,@Locked = [IsLocked]
,@TimeElapsed = DATEDIFF(minute, IsNull(ModifiedOn,GetDate()), GetDate())
,@PasswordDate = [PasswordChangeDate]
,@LastLoginDate = ISNULL([LastLoginDate],[CreatedOn])
FROM [dbo].[CWI_ClientContactPortal]
WHERE [Email] = @Email
IF @Locked = 1
BEGIN
/* Wait for 5 minutes before the next login attempt */
IF @TimeElapsed <= 5
SET @Locked = 1
ELSE
SET @Locked = 0
END
/* Are we still in a locked state ? */
IF @Locked = 1
SET @UserMessage = 'User account has been locked. Please wait for 5 minutes and try again.'
ELSE
BEGIN
/* Validate Password first */
SELECT @DecryptedPassword = Convert(varchar,DECRYPTBYPASSPHRASE(@PassPhrase,@EncryptedPassword))
IF @Password = @DecryptedPassword
BEGIN
SET @Expired = 0
/* Check for password expiry */
IF @PasswordExpireEnabled = 1
BEGIN
IF DateDiff(day,@PasswordDate, GetDate()) > @PasswordExpirePeriod
SET @Expired = 1
END
/* Check for User inactivty */
IF @UserInactiveEnabled = 1
BEGIN
IF DateDiff(day,@LastLoginDate, GetDate()) > @UserInactivePeriod
SET @Expired = 1
END
IF @Expired = 1
BEGIN
/* User Account or password has expired. Force the user to change password */
UPDATE [dbo].[CWI_ClientContactPortal]
SET LoginAttempts = 0
,IsPasswordReset = 1
,IsLocked = 0
,IsExpired = 1
,LastLoginDate = IsNull(CurrentLoginDate,GetDate())
,CurrentLoginDate = GetDate()
,IsLastLoginSuccess = 1
,ClientModifiedBy = @UserID
,ClientModifiedOn = GetDate()
WHERE ID = @UserID
END
ELSE
BEGIN
/* Normal Login */
UPDATE [dbo].[CWI_ClientContactPortal]
SET LoginAttempts = 0
,IsPasswordReset = 0
,IsLocked = 0
,IsExpired = 0
,LastLoginDate = IsNull(CurrentLoginDate,GetDate())
,CurrentLoginDate = GetDate()
,IsLastLoginSuccess = 1
,ClientModifiedBy = @UserID
,ClientModifiedOn = GetDate()
WHERE ID = @UserID
END
/* Send UserID back */
SELECT ID AS UserID
FROM [dbo].[CWI_ClientContactPortal]
WHERE ID = @UserID
END
ELSE
BEGIN
/* User sent a bad password. Check if we need to lock the user if max login attempt exceeded */
IF @LoginAttempts + 1 >= @MaxLoginAttempts
BEGIN
SET @LoginAttempts = @MaxLoginAttempts
SET @Locked = 1
END
ELSE
BEGIN
SET @LoginAttempts = @LoginAttempts + 1
SET @Locked = 0
END
UPDATE [dbo].[CWI_ClientContactPortal]
SET LoginAttempts = @LoginAttempts
,IsPasswordReset = 0
,IsLocked = @Locked
,IsLastLoginSuccess = 0
,ClientModifiedBy = @UserID
,ClientModifiedOn = GetDate()
WHERE ID = @UserID
SET @UserMessage = 'Password provided is invalid.'
END
END
END
COMMIT TRANSACTION
END TRY
BEGIN CATCH
SELECT @ErrorMessage = ERROR_MESSAGE()
ROLLBACK TRANSACTION
END CATCH
GO
|
-- quest 1
SHOW tables;
-- quest 2
select * from actor;
select * from address;
select * from category;
select * from city;
select * from country;
select * from customer;
select * from film;
select * from film_actor;
select * from film_category;
select * from film_text;
select * from inventory;
select * from language;
select * from rental;
select * from staff;
select * from store;
-- quest 3
select title from film;
-- quest 4
select name as language from language;
-- quest 5
-- 5.1
select count(store_id) as NumberOfStore from store;
-- 5.2
select count(staff_id) as NumberOfStaff from staff;
-- 5.3
select first_name from staff; |
# --- !Ups
CREATE TABLE TASK(
ID bigint(20) NOT NULL AUTO_INCREMENT,
DESCRIPTION varchar(510) NOT NULL,
COMPLETED_DATE DATETIME DEFAULT NULL,
DAILY_FLAG tinyint(1) DEFAULT 0,
PRIMARY KEY (id)
);
# --- !Downs
DROP TABLE TASK; |
update scotter set estado = 'DISPONIBLE' where id = :scotterId; |
# This is a fix for InnoDB in MySQL >= 4.1.x
# It "suspends judgement" for fkey relationships until are tables are set.
SET FOREIGN_KEY_CHECKS = 0;
#-----------------------------------------------------------------------------
#-- users_user
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `users_user`;
CREATE TABLE `users_user`
(
`id` INTEGER NOT NULL AUTO_INCREMENT COMMENT 'User Id',
`username` VARCHAR(255) NOT NULL COMMENT 'username',
`password` VARCHAR(255) NOT NULL COMMENT 'password',
`active` INTEGER NOT NULL COMMENT 'Is user active?',
`created` DATETIME NOT NULL COMMENT 'Creation date for',
`updated` DATETIME NOT NULL COMMENT 'Last update date',
`levelId` INTEGER COMMENT 'User Level',
`lastLogin` DATETIME COMMENT 'Fecha del ultimo login del usuario',
PRIMARY KEY (`id`),
UNIQUE KEY `users_user_U_1` (`username`),
CONSTRAINT `users_user_FK_1`
FOREIGN KEY (`id`)
REFERENCES `users_userInfo` (`userId`),
INDEX `users_user_FI_2` (`levelId`),
CONSTRAINT `users_user_FK_2`
FOREIGN KEY (`levelId`)
REFERENCES `users_level` (`id`)
)Type=MyISAM COMMENT='Users';
#-----------------------------------------------------------------------------
#-- users_userInfo
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `users_userInfo`;
CREATE TABLE `users_userInfo`
(
`userId` INTEGER NOT NULL COMMENT 'User Id',
`name` VARCHAR(255) COMMENT 'name',
`surname` VARCHAR(255) COMMENT 'surname',
`mailAddress` VARCHAR(255) COMMENT 'Email',
PRIMARY KEY (`userId`),
CONSTRAINT `users_userInfo_FK_1`
FOREIGN KEY (`userId`)
REFERENCES `users_user` (`id`)
)Type=MyISAM COMMENT='Information about users';
#-----------------------------------------------------------------------------
#-- users_userGroup
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `users_userGroup`;
CREATE TABLE `users_userGroup`
(
`userId` INTEGER NOT NULL COMMENT 'Group ID',
`groupId` INTEGER NOT NULL COMMENT 'Group ID',
PRIMARY KEY (`userId`,`groupId`),
CONSTRAINT `users_userGroup_FK_1`
FOREIGN KEY (`userId`)
REFERENCES `users_user` (`id`),
INDEX `users_userGroup_FI_2` (`groupId`),
CONSTRAINT `users_userGroup_FK_2`
FOREIGN KEY (`groupId`)
REFERENCES `users_group` (`id`)
ON DELETE CASCADE
)Type=MyISAM COMMENT='Users / Groups';
#-----------------------------------------------------------------------------
#-- users_group
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `users_group`;
CREATE TABLE `users_group`
(
`id` INTEGER NOT NULL AUTO_INCREMENT COMMENT 'Group ID',
`name` VARCHAR(255) NOT NULL COMMENT 'Group Name',
`created` DATETIME NOT NULL COMMENT 'Creation date for',
`updated` DATETIME NOT NULL COMMENT 'Last update date',
`bitLevel` INTEGER COMMENT 'Nivel',
PRIMARY KEY (`id`),
UNIQUE KEY `users_group_U_1` (`name`)
)Type=MyISAM COMMENT='Groups';
#-----------------------------------------------------------------------------
#-- users_level
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `users_level`;
CREATE TABLE `users_level`
(
`id` INTEGER NOT NULL AUTO_INCREMENT COMMENT 'Level ID',
`name` VARCHAR(255) NOT NULL COMMENT 'Level Name',
`bitLevel` INTEGER COMMENT 'Bit del nivel',
PRIMARY KEY (`id`),
UNIQUE KEY `users_level_U_1` (`name`)
)Type=MyISAM COMMENT='Levels';
#-----------------------------------------------------------------------------
#-- security_action
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `security_action`;
CREATE TABLE `security_action`
(
`action` VARCHAR(100) NOT NULL COMMENT 'Action pagina',
`module` VARCHAR(100) COMMENT 'Modulo',
`section` VARCHAR(100) COMMENT 'Seccion',
`access` INTEGER COMMENT 'El acceso a ese action',
`accessAffiliateUser` INTEGER COMMENT 'El acceso a ese action para los usuarios por afiliados',
`active` INTEGER COMMENT 'Si el action esta activo o no',
`pair` VARCHAR(100) COMMENT 'Par del Action',
PRIMARY KEY (`action`),
CONSTRAINT `security_action_FK_1`
FOREIGN KEY (`action`)
REFERENCES `security_actionLabel` (`action`)
)Type=MyISAM COMMENT='Actions del sistema';
#-----------------------------------------------------------------------------
#-- security_module
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `security_module`;
CREATE TABLE `security_module`
(
`module` VARCHAR(100) NOT NULL COMMENT 'Modulo',
`access` INTEGER COMMENT 'El acceso a ese action',
`accessAffiliateUser` INTEGER COMMENT 'El acceso a ese action para los usuarios por afiliados',
PRIMARY KEY (`module`)
)Type=MyISAM COMMENT='Modulos del sistema';
#-----------------------------------------------------------------------------
#-- security_actionLabel
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `security_actionLabel`;
CREATE TABLE `security_actionLabel`
(
`id` INTEGER NOT NULL AUTO_INCREMENT COMMENT 'Id label security',
`action` VARCHAR(100) NOT NULL COMMENT 'Action pagina',
`language` VARCHAR(100) COMMENT 'Idioma de la etiqueta',
`label` VARCHAR(100) COMMENT 'Etiqueta',
PRIMARY KEY (`id`,`action`),
INDEX `I_referenced_security_action_FK_1_1` (`action`)
)Type=MyISAM COMMENT='etiquetas de actions de seguridad';
#-----------------------------------------------------------------------------
#-- affiliates_affiliate
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `affiliates_affiliate`;
CREATE TABLE `affiliates_affiliate`
(
`id` INTEGER NOT NULL AUTO_INCREMENT COMMENT 'Id afiliado',
`name` VARCHAR(255) NOT NULL COMMENT 'nombre afiliado',
`ownerId` INTEGER COMMENT 'Id del usuario administrador del afiliado',
PRIMARY KEY (`id`),
CONSTRAINT `affiliates_affiliate_FK_1`
FOREIGN KEY (`id`)
REFERENCES `affiliates_affiliateInfo` (`affiliateId`)
)Type=MyISAM COMMENT='Afiliados';
#-----------------------------------------------------------------------------
#-- affiliates_affiliateInfo
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `affiliates_affiliateInfo`;
CREATE TABLE `affiliates_affiliateInfo`
(
`affiliateId` INTEGER NOT NULL COMMENT 'Id afiliado',
`affiliateInternalNumber` VARCHAR(12) COMMENT 'Id interno',
`address` VARCHAR(255) COMMENT 'Direccion afiliado',
`phone` VARCHAR(50) COMMENT 'Telefono afiliado',
`email` VARCHAR(50) COMMENT 'Email afiliado',
`contact` VARCHAR(50) COMMENT 'Nombre de persona de contacto',
`contactEmail` VARCHAR(100) COMMENT 'Email de persona de contacto',
`web` VARCHAR(255) COMMENT 'Direccion web del afiliado',
`memo` TEXT COMMENT 'Informacion adicional del afiliado',
PRIMARY KEY (`affiliateId`),
CONSTRAINT `affiliates_affiliateInfo_FK_1`
FOREIGN KEY (`affiliateId`)
REFERENCES `affiliates_affiliate` (`id`)
)Type=MyISAM COMMENT='Informacion del afiliado';
#-----------------------------------------------------------------------------
#-- affiliates_user
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `affiliates_user`;
CREATE TABLE `affiliates_user`
(
`id` INTEGER NOT NULL AUTO_INCREMENT COMMENT 'User Id',
`affiliateId` INTEGER NOT NULL COMMENT 'Id afiliado',
`username` VARCHAR(255) NOT NULL COMMENT 'username',
`password` VARCHAR(255) NOT NULL COMMENT 'password',
`active` INTEGER NOT NULL COMMENT 'Is user active?',
`created` DATETIME NOT NULL COMMENT 'Creation date for',
`updated` DATETIME NOT NULL COMMENT 'Last update date',
`levelId` INTEGER COMMENT 'User Level',
`lastLogin` DATETIME COMMENT 'Fecha del ultimo login del usuario',
PRIMARY KEY (`id`),
UNIQUE KEY `affiliates_user_U_1` (`username`),
CONSTRAINT `affiliates_user_FK_1`
FOREIGN KEY (`id`)
REFERENCES `affiliates_userInfo` (`userId`),
INDEX `affiliates_user_FI_2` (`levelId`),
CONSTRAINT `affiliates_user_FK_2`
FOREIGN KEY (`levelId`)
REFERENCES `affiliates_level` (`id`),
INDEX `affiliates_user_FI_3` (`affiliateId`),
CONSTRAINT `affiliates_user_FK_3`
FOREIGN KEY (`affiliateId`)
REFERENCES `affiliates_affiliate` (`id`)
)Type=MyISAM COMMENT='Usuarios de afiliado';
#-----------------------------------------------------------------------------
#-- affiliates_userInfo
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `affiliates_userInfo`;
CREATE TABLE `affiliates_userInfo`
(
`userId` INTEGER NOT NULL COMMENT 'User Id',
`name` VARCHAR(255) COMMENT 'name',
`surname` VARCHAR(255) COMMENT 'surname',
`mailAddress` VARCHAR(255) COMMENT 'Email',
PRIMARY KEY (`userId`),
CONSTRAINT `affiliates_userInfo_FK_1`
FOREIGN KEY (`userId`)
REFERENCES `affiliates_user` (`id`)
)Type=MyISAM COMMENT='Information about users by affiliates';
#-----------------------------------------------------------------------------
#-- affiliates_level
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `affiliates_level`;
CREATE TABLE `affiliates_level`
(
`id` INTEGER NOT NULL AUTO_INCREMENT COMMENT 'Level ID',
`name` VARCHAR(255) NOT NULL COMMENT 'Level Name',
`bitLevel` INTEGER COMMENT 'Bit del nivel',
PRIMARY KEY (`id`),
UNIQUE KEY `affiliates_level_U_1` (`name`)
)Type=MyISAM COMMENT='Levels';
#-----------------------------------------------------------------------------
#-- affiliates_userGroup
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `affiliates_userGroup`;
CREATE TABLE `affiliates_userGroup`
(
`userId` INTEGER NOT NULL COMMENT 'Group ID',
`groupId` INTEGER NOT NULL COMMENT 'Group ID',
PRIMARY KEY (`userId`,`groupId`),
CONSTRAINT `affiliates_userGroup_FK_1`
FOREIGN KEY (`userId`)
REFERENCES `affiliates_user` (`id`),
INDEX `affiliates_userGroup_FI_2` (`groupId`),
CONSTRAINT `affiliates_userGroup_FK_2`
FOREIGN KEY (`groupId`)
REFERENCES `affiliates_group` (`id`)
ON DELETE CASCADE
)Type=MyISAM COMMENT='Users / Groups';
#-----------------------------------------------------------------------------
#-- affiliates_group
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `affiliates_group`;
CREATE TABLE `affiliates_group`
(
`id` INTEGER NOT NULL AUTO_INCREMENT COMMENT 'Group ID',
`name` VARCHAR(255) NOT NULL COMMENT 'Group Name',
`created` DATETIME NOT NULL COMMENT 'Creation date for',
`updated` DATETIME NOT NULL COMMENT 'Last update date',
`bitLevel` INTEGER COMMENT 'Nivel',
PRIMARY KEY (`id`),
UNIQUE KEY `affiliates_group_U_1` (`name`)
)Type=MyISAM COMMENT='Groups';
#-----------------------------------------------------------------------------
#-- category
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `category`;
CREATE TABLE `category`
(
`id` INTEGER NOT NULL AUTO_INCREMENT,
`name` VARCHAR(255) NOT NULL COMMENT 'Category name',
`active` INTEGER NOT NULL COMMENT 'Is category active?',
PRIMARY KEY (`id`)
)Type=MyISAM COMMENT='Categorias';
#-----------------------------------------------------------------------------
#-- users_groupCategory
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `users_groupCategory`;
CREATE TABLE `users_groupCategory`
(
`groupId` INTEGER NOT NULL COMMENT 'Group ID',
`categoryId` INTEGER NOT NULL COMMENT 'Category ID',
PRIMARY KEY (`groupId`,`categoryId`),
CONSTRAINT `users_groupCategory_FK_1`
FOREIGN KEY (`groupId`)
REFERENCES `users_group` (`id`)
ON DELETE CASCADE,
INDEX `users_groupCategory_FI_2` (`categoryId`),
CONSTRAINT `users_groupCategory_FK_2`
FOREIGN KEY (`categoryId`)
REFERENCES `category` (`id`)
)Type=MyISAM COMMENT='Groups / Categories';
#-----------------------------------------------------------------------------
#-- affiliates_groupCategory
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `affiliates_groupCategory`;
CREATE TABLE `affiliates_groupCategory`
(
`groupId` INTEGER NOT NULL COMMENT 'Group ID',
`categoryId` INTEGER NOT NULL COMMENT 'Category ID',
PRIMARY KEY (`groupId`,`categoryId`),
CONSTRAINT `affiliates_groupCategory_FK_1`
FOREIGN KEY (`groupId`)
REFERENCES `affiliates_group` (`id`)
ON DELETE CASCADE,
INDEX `affiliates_groupCategory_FI_2` (`categoryId`),
CONSTRAINT `affiliates_groupCategory_FK_2`
FOREIGN KEY (`categoryId`)
REFERENCES `category` (`id`)
)Type=MyISAM COMMENT='Groups / Categories';
#-----------------------------------------------------------------------------
#-- modules_module
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `modules_module`;
CREATE TABLE `modules_module`
(
`name` VARCHAR(255) NOT NULL COMMENT 'nombre del modulo',
`active` INTEGER default 0 NOT NULL COMMENT 'Estado del modulo',
`alwaysActive` INTEGER default 0 NOT NULL COMMENT 'Modulo siempre activo',
PRIMARY KEY (`name`)
)Type=MyISAM COMMENT=' Registro de modulos';
#-----------------------------------------------------------------------------
#-- modules_dependency
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `modules_dependency`;
CREATE TABLE `modules_dependency`
(
`moduleName` VARCHAR(255) NOT NULL COMMENT 'Modulo',
`dependence` VARCHAR(255) NOT NULL COMMENT 'Modulos de los cuales depende',
PRIMARY KEY (`moduleName`,`dependence`),
CONSTRAINT `modules_dependency_FK_1`
FOREIGN KEY (`moduleName`)
REFERENCES `modules_module` (`name`)
ON DELETE CASCADE
)Type=MyISAM COMMENT='Dependencia de modulos ';
#-----------------------------------------------------------------------------
#-- modules_label
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `modules_label`;
CREATE TABLE `modules_label`
(
`id` INTEGER NOT NULL AUTO_INCREMENT COMMENT 'Id module label',
`name` VARCHAR(255) NOT NULL COMMENT 'nombre del modulo',
`label` VARCHAR(255) COMMENT 'Etiqueta',
`description` VARCHAR(255) COMMENT 'Descripcion del modulo',
`language` VARCHAR(100) COMMENT 'idioma de la etiqueta',
PRIMARY KEY (`id`,`name`),
INDEX `modules_label_FI_1` (`name`),
CONSTRAINT `modules_label_FK_1`
FOREIGN KEY (`name`)
REFERENCES `modules_module` (`name`)
ON DELETE CASCADE
)Type=MyISAM COMMENT='Etiquetas de modulos ';
#-----------------------------------------------------------------------------
#-- actionLogs_log
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `actionLogs_log`;
CREATE TABLE `actionLogs_log`
(
`id` INTEGER NOT NULL AUTO_INCREMENT COMMENT 'Id log',
`userId` INTEGER NOT NULL COMMENT 'Id del usuario',
`affiliateId` INTEGER NOT NULL COMMENT 'Id del afiliado',
`datetime` DATETIME NOT NULL COMMENT 'Fecha en que se logueo el dato',
`action` VARCHAR(100) NOT NULL COMMENT 'action en que se logueo el dato',
`object` VARCHAR(100) NOT NULL COMMENT 'objeto sobre el cual se realizo la accion',
`forward` VARCHAR(100) COMMENT 'tipo de accion de la etiqueta',
PRIMARY KEY (`id`),
INDEX `actionLogs_log_FI_1` (`userId`),
CONSTRAINT `actionLogs_log_FK_1`
FOREIGN KEY (`userId`)
REFERENCES `users_user` (`id`),
INDEX `actionLogs_log_FI_2` (`action`),
CONSTRAINT `actionLogs_log_FK_2`
FOREIGN KEY (`action`)
REFERENCES `security_action` (`action`)
)Type=MyISAM COMMENT='logs del sistema';
#-----------------------------------------------------------------------------
#-- actionLogs_label
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `actionLogs_label`;
CREATE TABLE `actionLogs_label`
(
`id` INTEGER NOT NULL AUTO_INCREMENT COMMENT 'Id Label',
`action` VARCHAR(100) NOT NULL COMMENT 'action en que se loguea el dato',
`label` VARCHAR(100) NOT NULL COMMENT 'mensaje del log',
`language` VARCHAR(100) COMMENT 'idioma de la etiqueta',
`forward` VARCHAR(100) COMMENT 'tipo de accion de la etiqueta',
PRIMARY KEY (`id`,`action`)
)Type=MyISAM COMMENT='Etiquetas de logueo';
#-----------------------------------------------------------------------------
#-- node
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `node`;
CREATE TABLE `node`
(
`id` INTEGER NOT NULL AUTO_INCREMENT COMMENT 'Id del nodo',
`name` VARCHAR(255) NOT NULL COMMENT 'Nombre del nodo',
`kind` VARCHAR(255) NOT NULL COMMENT 'Tipo de nodo',
`objectId` INTEGER COMMENT 'Id del objeto relacionado al nodo',
`parentId` INTEGER COMMENT 'Id del nodo padre',
`position` INTEGER COMMENT 'Orden entre los hermanos del nodo',
PRIMARY KEY (`id`),
INDEX `node_FI_1` (`parentId`),
CONSTRAINT `node_FK_1`
FOREIGN KEY (`parentId`)
REFERENCES `node` (`id`)
)Type=MyISAM COMMENT='Nodo del Arbol';
#-----------------------------------------------------------------------------
#-- product
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `product`;
CREATE TABLE `product`
(
`id` INTEGER NOT NULL AUTO_INCREMENT COMMENT 'Id del producto',
`code` VARCHAR(255) COMMENT 'Codigo del producto',
`description` VARCHAR(255) COMMENT 'Descripcion',
`price` FLOAT COMMENT 'Precio del producto',
`unitId` INTEGER COMMENT 'Unidades',
`measureUnitId` INTEGER COMMENT 'Unidad de Medida',
`active` INTEGER default 1 NOT NULL COMMENT 'Is product active?',
`orderCode` VARCHAR(255) COMMENT 'Codigo de ordenamiento del producto',
`salesUnit` INTEGER COMMENT 'Multiplo de la unidad de medida en que se puede ordenar el producto',
PRIMARY KEY (`id`),
UNIQUE KEY `product_U_1` (`code`),
INDEX `product_FI_1` (`unitId`),
CONSTRAINT `product_FK_1`
FOREIGN KEY (`unitId`)
REFERENCES `unit` (`id`),
INDEX `product_FI_2` (`measureUnitId`),
CONSTRAINT `product_FK_2`
FOREIGN KEY (`measureUnitId`)
REFERENCES `measureUnit` (`id`)
)Type=MyISAM COMMENT='Producto';
#-----------------------------------------------------------------------------
#-- unit
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `unit`;
CREATE TABLE `unit`
(
`id` INTEGER NOT NULL AUTO_INCREMENT COMMENT 'Id de la unidad',
`name` VARCHAR(255) NOT NULL COMMENT 'Unidad',
`unitQuantity` INTEGER NOT NULL COMMENT 'Cantidad de unidades que posee la unidad',
PRIMARY KEY (`id`)
)Type=MyISAM COMMENT='Unidades';
#-----------------------------------------------------------------------------
#-- measureUnit
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `measureUnit`;
CREATE TABLE `measureUnit`
(
`id` INTEGER NOT NULL AUTO_INCREMENT COMMENT 'Id de la unidad de medida',
`name` VARCHAR(255) NOT NULL COMMENT 'Unidad de Medida',
PRIMARY KEY (`id`)
)Type=MyISAM COMMENT='Unidad de Medida';
#-----------------------------------------------------------------------------
#-- productCategory
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `productCategory`;
CREATE TABLE `productCategory`
(
`id` INTEGER NOT NULL AUTO_INCREMENT COMMENT 'Id de la categoria',
`description` VARCHAR(255) COMMENT 'Descripcion',
PRIMARY KEY (`id`)
)Type=MyISAM COMMENT='Categorias de Productos';
#-----------------------------------------------------------------------------
#-- orders_order
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `orders_order`;
CREATE TABLE `orders_order`
(
`id` INTEGER NOT NULL AUTO_INCREMENT COMMENT 'Id del pedido',
`number` INTEGER COMMENT 'Numero interno del pedido',
`created` DATETIME NOT NULL COMMENT 'Fecha en que se creo el pedido',
`userId` INTEGER NOT NULL COMMENT 'Id del usuario',
`affiliateId` INTEGER NOT NULL COMMENT 'Id del afiliado',
`branchId` INTEGER COMMENT 'Id de la sucursal',
`total` FLOAT COMMENT 'Precio total del pedido',
`state` INTEGER COMMENT 'Estado del pedido',
PRIMARY KEY (`id`),
INDEX `orders_order_FI_1` (`userId`),
CONSTRAINT `orders_order_FK_1`
FOREIGN KEY (`userId`)
REFERENCES `affiliates_user` (`id`),
INDEX `orders_order_FI_2` (`affiliateId`),
CONSTRAINT `orders_order_FK_2`
FOREIGN KEY (`affiliateId`)
REFERENCES `affiliates_affiliate` (`id`),
INDEX `orders_order_FI_3` (`branchId`),
CONSTRAINT `orders_order_FK_3`
FOREIGN KEY (`branchId`)
REFERENCES `branch` (`id`)
)Type=MyISAM COMMENT='Pedido de Productos';
#-----------------------------------------------------------------------------
#-- orders_orderItem
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `orders_orderItem`;
CREATE TABLE `orders_orderItem`
(
`id` INTEGER NOT NULL AUTO_INCREMENT COMMENT 'Id del item del pedido',
`orderId` INTEGER NOT NULL COMMENT 'Id del pedido',
`productId` INTEGER NOT NULL COMMENT 'Id del usuario',
`price` FLOAT COMMENT 'Precio del producto',
`quantity` INTEGER COMMENT 'Cantidad del producto en el pedido',
PRIMARY KEY (`id`),
INDEX `orders_orderItem_FI_1` (`orderId`),
CONSTRAINT `orders_orderItem_FK_1`
FOREIGN KEY (`orderId`)
REFERENCES `orders_order` (`id`)
ON DELETE CASCADE,
INDEX `orders_orderItem_FI_2` (`productId`),
CONSTRAINT `orders_orderItem_FK_2`
FOREIGN KEY (`productId`)
REFERENCES `product` (`id`)
)Type=MyISAM COMMENT='Item del Pedido de Productos';
#-----------------------------------------------------------------------------
#-- orders_stateChanges
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `orders_stateChanges`;
CREATE TABLE `orders_stateChanges`
(
`id` INTEGER NOT NULL AUTO_INCREMENT COMMENT 'Id del cambio de estado del pedido',
`created` DATETIME NOT NULL COMMENT 'Fecha en que se cambio el estado',
`orderId` INTEGER NOT NULL COMMENT 'Id del pedido',
`userId` INTEGER NOT NULL COMMENT 'Id del usuario',
`affiliateId` INTEGER NOT NULL COMMENT 'Id del afiliado',
`state` INTEGER NOT NULL COMMENT 'Nuevo estado',
`comment` TEXT COMMENT 'Comentarios',
PRIMARY KEY (`id`),
INDEX `orders_stateChanges_FI_1` (`orderId`),
CONSTRAINT `orders_stateChanges_FK_1`
FOREIGN KEY (`orderId`)
REFERENCES `orders_order` (`id`)
ON DELETE CASCADE,
INDEX `orders_stateChanges_FI_2` (`userId`),
CONSTRAINT `orders_stateChanges_FK_2`
FOREIGN KEY (`userId`)
REFERENCES `affiliates_user` (`id`),
INDEX `orders_stateChanges_FI_3` (`affiliateId`),
CONSTRAINT `orders_stateChanges_FK_3`
FOREIGN KEY (`affiliateId`)
REFERENCES `affiliates_affiliate` (`id`)
)Type=MyISAM COMMENT='Cambios de Estado de Pedidos de Productos';
#-----------------------------------------------------------------------------
#-- orders_orderTemplate
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `orders_orderTemplate`;
CREATE TABLE `orders_orderTemplate`
(
`id` INTEGER NOT NULL AUTO_INCREMENT COMMENT 'Id del pedido',
`name` VARCHAR(255) NOT NULL COMMENT 'Nombre de la plantilla',
`created` DATETIME NOT NULL COMMENT 'Fecha en que se creo el pedido',
`userId` INTEGER NOT NULL COMMENT 'Id del usuario',
`affiliateId` INTEGER NOT NULL COMMENT 'Id del afiliado',
`branchId` INTEGER COMMENT 'Id de la sucursal',
`total` FLOAT COMMENT 'Precio total del pedido',
PRIMARY KEY (`id`),
INDEX `orders_orderTemplate_FI_1` (`userId`),
CONSTRAINT `orders_orderTemplate_FK_1`
FOREIGN KEY (`userId`)
REFERENCES `affiliates_user` (`id`),
INDEX `orders_orderTemplate_FI_2` (`affiliateId`),
CONSTRAINT `orders_orderTemplate_FK_2`
FOREIGN KEY (`affiliateId`)
REFERENCES `affiliates_affiliate` (`id`),
INDEX `orders_orderTemplate_FI_3` (`branchId`),
CONSTRAINT `orders_orderTemplate_FK_3`
FOREIGN KEY (`branchId`)
REFERENCES `branch` (`id`)
)Type=MyISAM COMMENT='Plantillas de Pedido de Productos';
#-----------------------------------------------------------------------------
#-- orders_orderTemplateItem
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `orders_orderTemplateItem`;
CREATE TABLE `orders_orderTemplateItem`
(
`id` INTEGER NOT NULL AUTO_INCREMENT COMMENT 'Id del item del pedido',
`orderTemplateId` INTEGER NOT NULL COMMENT 'Id del pedido',
`productId` INTEGER NOT NULL COMMENT 'Id del usuario',
`price` FLOAT COMMENT 'Precio del producto',
`quantity` INTEGER COMMENT 'Cantidad del producto en el pedido',
PRIMARY KEY (`id`),
INDEX `orders_orderTemplateItem_FI_1` (`orderTemplateId`),
CONSTRAINT `orders_orderTemplateItem_FK_1`
FOREIGN KEY (`orderTemplateId`)
REFERENCES `orders_orderTemplate` (`id`)
ON DELETE CASCADE,
INDEX `orders_orderTemplateItem_FI_2` (`productId`),
CONSTRAINT `orders_orderTemplateItem_FK_2`
FOREIGN KEY (`productId`)
REFERENCES `product` (`id`)
)Type=MyISAM COMMENT='Item de la Plantilla de Pedido de Productos';
#-----------------------------------------------------------------------------
#-- branch
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `branch`;
CREATE TABLE `branch`
(
`id` INTEGER NOT NULL AUTO_INCREMENT COMMENT 'Id de la sucursal',
`affiliateId` INTEGER NOT NULL COMMENT 'Id del afiliado',
`number` INTEGER NOT NULL COMMENT 'Numero de la sucursal',
`code` VARCHAR(20) COMMENT 'Codigo de la sucursal',
`name` VARCHAR(255) COMMENT 'Nombre de la sucursal',
`phone` VARCHAR(100) COMMENT 'Telefono de la sucursal',
`contact` VARCHAR(50) COMMENT 'Nombre de persona de contacto',
`contactEmail` VARCHAR(100) COMMENT 'Email de persona de contacto',
`memo` TEXT COMMENT 'Informacion adicional de la sucursal',
PRIMARY KEY (`id`),
INDEX `branch_FI_1` (`affiliateId`),
CONSTRAINT `branch_FK_1`
FOREIGN KEY (`affiliateId`)
REFERENCES `affiliates_affiliate` (`id`)
)Type=MyISAM COMMENT='Sucursales de Afiliados';
#-----------------------------------------------------------------------------
#-- usersByRegistration_user
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `usersByRegistration_user`;
CREATE TABLE `usersByRegistration_user`
(
`id` INTEGER NOT NULL AUTO_INCREMENT COMMENT 'User Id',
`username` VARCHAR(255) NOT NULL COMMENT 'username',
`password` VARCHAR(255) NOT NULL COMMENT 'password',
`active` INTEGER NOT NULL COMMENT 'Is user active?',
`created` DATETIME NOT NULL COMMENT 'Creation date for',
`updated` DATETIME NOT NULL COMMENT 'Last update date',
`ip` VARCHAR(255) NOT NULL COMMENT 'Registration IP',
`lastLogin` DATETIME COMMENT 'Fecha del ultimo login del usuario',
PRIMARY KEY (`id`),
UNIQUE KEY `usersByRegistration_user_U_1` (`username`),
CONSTRAINT `usersByRegistration_user_FK_1`
FOREIGN KEY (`id`)
REFERENCES `usersByRegistration_userInfo` (`userId`)
)Type=MyISAM COMMENT='Users by registration';
#-----------------------------------------------------------------------------
#-- usersByRegistration_userInfo
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `usersByRegistration_userInfo`;
CREATE TABLE `usersByRegistration_userInfo`
(
`userId` INTEGER NOT NULL COMMENT 'UserByRegistration Id',
`name` VARCHAR(255) COMMENT 'name',
`surname` VARCHAR(255) COMMENT 'surname',
`mailAddress` VARCHAR(255) COMMENT 'Email',
PRIMARY KEY (`userId`),
CONSTRAINT `usersByRegistration_userInfo_FK_1`
FOREIGN KEY (`userId`)
REFERENCES `usersByRegistration_user` (`id`)
)Type=MyISAM COMMENT='Information about users by registration';
#-----------------------------------------------------------------------------
#-- catalog_affiliateProduct
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `catalog_affiliateProduct`;
CREATE TABLE `catalog_affiliateProduct`
(
`productId` INTEGER NOT NULL COMMENT 'Producto',
`affiliateId` INTEGER NOT NULL COMMENT 'Afiliado',
`price` FLOAT COMMENT 'Precio del producto',
PRIMARY KEY (`productId`,`affiliateId`),
UNIQUE KEY `catalog_affiliateProduct_U_1` (`productId`, `affiliateId`),
CONSTRAINT `catalog_affiliateProduct_FK_1`
FOREIGN KEY (`productId`)
REFERENCES `product` (`id`),
INDEX `catalog_affiliateProduct_FI_2` (`affiliateId`),
CONSTRAINT `catalog_affiliateProduct_FK_2`
FOREIGN KEY (`affiliateId`)
REFERENCES `affiliates_affiliate` (`id`)
)Type=MyISAM COMMENT='Precios de Productos por Afiliado';
#-----------------------------------------------------------------------------
#-- catalog_affiliateProductCode
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `catalog_affiliateProductCode`;
CREATE TABLE `catalog_affiliateProductCode`
(
`id` INTEGER NOT NULL AUTO_INCREMENT,
`affiliateId` INTEGER NOT NULL COMMENT 'Afiliado',
`productCode` VARCHAR(255) COMMENT 'Codigo del Producto',
`productCodeAffiliate` VARCHAR(255) COMMENT 'Codigo del Producto para el afiliado',
PRIMARY KEY (`id`),
UNIQUE KEY `catalog_affiliateProductCode_U_1` (`affiliateId`, `productCodeAffiliate`),
CONSTRAINT `catalog_affiliateProductCode_FK_1`
FOREIGN KEY (`affiliateId`)
REFERENCES `affiliates_affiliate` (`id`)
)Type=MyISAM COMMENT='Codigos de Productos por Afiliado';
# This restores the fkey checks, after having unset them earlier
SET FOREIGN_KEY_CHECKS = 1;
|
alter table kitchen_image add org_file_name varchar(255) NOT NULL;
alter table kitchen_image add file_name varchar(255) NOT NULL;
alter table kitchen_image add file_path varchar(255) NOT NULL;
alter table kitchen_image drop column name; |
call search_domain(100,'','','','','','','','','','','','','','','','SIPYLINK.com');
call search_domain(100,'','','','','','','','','','','','','','','','OUTREACHFORPEOPLE.ORG');
call search_domain(100,'','','','','','','','','','','','','','','','AEDOFAB.COM');
call search_domain(100,'','','','','','','','','','','','','','','','BARNBOARDFLAGS.com');
call search_domain(100,'','','','','','','','','','','','','','','','GLOBALFREESCHOOLNETWORK.INFO');
call search_domain(100,'','','','','','','','','','','','','','','','VEGASHOTELGUIDE.COM');
call search_domain(100,'','','','','','','','','','','','','','','','TECOMELEVACION.com');
call search_domain(100,'','','','','','','','','','','','','','','','SOUTHPARKCOIN.net');
call search_domain(100,'','','','','','','','','','','','','','','','KEYSDREAMHOME.COM');
call search_domain(100,'','','','','','','','','','','','','','','','HUIFENGYULECHENG129.com');
call search_domain(100,'','','','','','','','','','','','','','','','VIDEO-AUDIO-SYNCHRONIZATION.com');
call search_domain(100,'','','','','','','','','','','','','','','','HOBBIEPYCCKUE.COM');
call search_domain(100,'','','','','','','','','','','','','','','','JACQUE.MOBI');
call search_domain(100,'','','','','','','','','','','','','','','','JOSIANSANCHEZ.com');
call search_domain(100,'','','','','','','','','','','','','','','','JUSTGODCHURCH.com');
call search_domain(100,'','','','','','','','','','','','','','','','THEUSCONSTITUTIONALERT.com');
call search_domain(100,'','','','','','','','','','','','','','','','GOPINKTHEME.INFO');
call search_domain(100,'','','','','','','','','','','','','','','','RACHAELSBOOKMARKS.com');
call search_domain(100,'','','','','','','','','','','','','','','','HARPSOMERSET.COM');
call search_domain(100,'','','','','','','','','','','','','','','','HOST4OFFSHORE.INFO');
call search_domain(100,'','','','','','','','','','','','','','','','INCARNATEDANGELS.ORG');
call search_domain(100,'','','','','','','','','','','','','','','','MYSWEETSNTREATS.com');
call search_domain(100,'','','','','','','','','','','','','','','','BIRCHMOONPHOTOGRAPHY.com');
call search_domain(100,'','','','','','','','','','','','','','','','STRANGERCALLSTHEMOVIE.com');
call search_domain(100,'','','','','','','','','','','','','','','','SCHAAWEET.com');
call search_domain(100,'','','','','','','','','','','','','','','','BAD-CREDIT-REPAIR-SERVICE.INFO');
call search_domain(100,'','','','','','','','','','','','','','','','MINECHEF.com');
call search_domain(100,'','','','','','','','','','','','','','','','DVCEYECARENETWORK.com');
call search_domain(100,'','','','','','','','','','','','','','','','ABSSOFTWARE.COM');
call search_domain(100,'','','','','','','','','','','','','','','','IPODPORNXXX.com');
call search_domain(100,'','','','','','','','','','','','','','','','PROMPTEDPROGENITOR.INFO');
call search_domain(100,'','','','','','','','','','','','','','','','ROCKINMP3.COM');
call search_domain(100,'','','','','','','','','','','','','','','','GRENADANATIONALSTADIUM.INFO');
call search_domain(100,'','','','','','','','','','','','','','','','FHA-ASSISTANCE.ORG');
call search_domain(100,'','','','','','','','','','','','','','','','FIREPLACESGAINESVILLE.biz');
call search_domain(100,'','','','','','','','','','','','','','','','SUPREMEINSURANCE.INFO');
call search_domain(100,'','','','','','','','','','','','','','','','COLEBLAIR.com');
call search_domain(100,'','','','','','','','','','','','','','','','BESTTITSONCAMPUS.MOBI');
call search_domain(100,'','','','','','','','','','','','','','','','WHOLEEARTHACADEMY.ORG');
call search_domain(100,'','','','','','','','','','','','','','','','ANNEHARTNETT.COM');
call search_domain(100,'','','','','','','','','','','','','','','','JUJUNATION.net');
call search_domain(100,'','','','','','','','','','','','','','','','WNYRSA.com');
call search_domain(100,'','','','','','','','','','','','','','','','INFINITYMTG.COM');
call search_domain(100,'','','','','','','','','','','','','','','','400ADAYPLAN.INFO');
call search_domain(100,'','','','','','','','','','','','','','','','CANOANORTHWEST.com');
call search_domain(100,'','','','','','','','','','','','','','','','SMARTSOFLO.com');
call search_domain(100,'','','','','','','','','','','','','','','','SOUTHDAKOTAACETAMINOPHENLAWSUIT.com');
call search_domain(100,'','','','','','','','','','','','','','','','CHOREDOLLARS.com');
call search_domain(100,'','','','','','','','','','','','','','','','YOUR-COLLECTION.COM');
call search_domain(100,'','','','','','','','','','','','','','','','TRAZZSUGAR.biz');
call search_domain(100,'','','','','','','','','','','','','','','','INTERNETBESTDEALS.COM');
call search_domain(100,'','','','','','','','','','','','','','','','MICHIGANKIADEALERS.com');
call search_domain(100,'','','','','','','','','','','','','','','','HEIDICREATES.com');
call search_domain(100,'','','','','','','','','','','','','','','','CHRISTOPHERVOSS.com');
call search_domain(100,'','','','','','','','','','','','','','','','TABELECTRIC.net');
call search_domain(100,'','','','','','','','','','','','','','','','2DTX.com');
call search_domain(100,'','','','','','','','','','','','','','','','FORTBEND-EMPLOYMENT.com');
call search_domain(100,'','','','','','','','','','','','','','','','PUBLICHEALTHLINE.com');
call search_domain(100,'','','','','','','','','','','','','','','','OPUSANDPARTNERS.com');
call search_domain(100,'','','','','','','','','','','','','','','','MOZSPORTS.com');
call search_domain(100,'','','','','','','','','','','','','','','','DALULIFUR.com');
call search_domain(100,'','','','','','','','','','','','','','','','2GOCRUISE.com');
call search_domain(100,'','','','','','','','','','','','','','','','VIVINTVACATIONHOME.com');
call search_domain(100,'','','','','','','','','','','','','','','','BISRATDB.net');
call search_domain(100,'','','','','','','','','','','','','','','','TOMAHPUBLICLIBRARY.ORG');
call search_domain(100,'','','','','','','','','','','','','','','','MICROTECHNIQUES.COM');
call search_domain(100,'','','','','','','','','','','','','','','','CAN-IDS.com');
call search_domain(100,'','','','','','','','','','','','','','','','SERRAPRO.INFO');
call search_domain(100,'','','','','','','','','','','','','','','','337SEX.COM');
call search_domain(100,'','','','','','','','','','','','','','','','HEIDYCARDENAS.net');
call search_domain(100,'','','','','','','','','','','','','','','','GETPAIDWITHKEITH.com');
call search_domain(100,'','','','','','','','','','','','','','','','ANTIQUE-TRADER.NET');
call search_domain(100,'','','','','','','','','','','','','','','','JASONWOLFEPHOTOGRAPHY.com');
call search_domain(100,'','','','','','','','','','','','','','','','CONNECTNOWAUSTIN.com');
call search_domain(100,'','','','','','','','','','','','','','','','REALTYONEGROUP-WORLDPROPERTIES.com');
call search_domain(100,'','','','','','','','','','','','','','','','DUROMAXXP4400.com');
call search_domain(100,'','','','','','','','','','','','','','','','SEAOFSOLITUDE.com');
call search_domain(100,'','','','','','','','','','','','','','','','HHLANDSCAPING.COM');
call search_domain(100,'','','','','','','','','','','','','','','','REFERENCESERVICES.COM');
call search_domain(100,'','','','','','','','','','','','','','','','THISLOTTO.COM');
call search_domain(100,'','','','','','','','','','','','','','','','SPACHEMICALSONLINE.COM');
call search_domain(100,'','','','','','','','','','','','','','','','CALCULATECARINSURANCEQUOTES.INFO');
call search_domain(100,'','','','','','','','','','','','','','','','CIRCLESEVENTRADITIONS.com');
call search_domain(100,'','','','','','','','','','','','','','','','MYODS.biz');
call search_domain(100,'','','','','','','','','','','','','','','','FIRSTSTRIKEBISON.INFO');
call search_domain(100,'','','','','','','','','','','','','','','','RASGIRMATOURSETHIOPIA.INFO');
call search_domain(100,'','','','','','','','','','','','','','','','DHABITE.com');
call search_domain(100,'','','','','','','','','','','','','','','','HYDROWIZARDTILE.com');
call search_domain(100,'','','','','','','','','','','','','','','','RANCHPLANREALESTATE.com');
call search_domain(100,'','','','','','','','','','','','','','','','MATTLAZENBY.com');
call search_domain(100,'','','','','','','','','','','','','','','','PDFERNHOUT.com');
call search_domain(100,'','','','','','','','','','','','','','','','NODOCS.COM');
call search_domain(100,'','','','','','','','','','','','','','','','THINKHBG.com');
call search_domain(100,'','','','','','','','','','','','','','','','THEHOUSINGBUST.com');
call search_domain(100,'','','','','','','','','','','','','','','','ELEGIMENU.com');
call search_domain(100,'','','','','','','','','','','','','','','','PLANET52.COM');
call search_domain(100,'','','','','','','','','','','','','','','','YOURPENSACOLA.COM');
call search_domain(100,'','','','','','','','','','','','','','','','FASTEASYSOLS.INFO');
call search_domain(100,'','','','','','','','','','','','','','','','MAVEN-CHICAGO.com');
call search_domain(100,'','','','','','','','','','','','','','','','ARTSIDESTUDIOS.com'); |
PRINT 'Загрузка данных Workplans.Statuses'
MERGE INTO Workplans.Statuses AS trg
USING
(
VALUES
(N'Open', N'Задача открыта')
,(N'Analysis', N'Задача находится на этапе анализа, т.е. делать её еше нельзя, уточняются требования, идёт проработка')
,(N'Blocked', N'переход в это и из этого состояние только автоматически - есть задачи которые блокируют выполнение текушей')
,(N'Resolved', N'Означает что задача решена, по мнению разработчика и требуется проверка результатов решения')
,(N'Closed', N'Задача полностью решена')
) AS src (Name, ShortDescription) ON trg.Name = src.Name
WHEN NOT MATCHED BY TARGET THEN
INSERT (Name, ShortDescription)
VALUES (Name, ShortDescription)
WHEN MATCHED THEN
UPDATE SET
ShortDescription = src.ShortDescription
WHEN NOT MATCHED BY SOURCE THEN
DELETE
;
PRINT 'Загрузка данных Workplans.VersionStatuses'
MERGE INTO Workplans.VersionStatuses AS trg
USING
(
VALUES
(N'Open', N'Версия открыта')
,(N'Ignored', N'Версия забракована, решили откаться')
,(N'Deploy', N'Версия находиться в процессе установки')
,(N'Installed', N'Версия установлена')
) AS src (Name, ShortDescription) ON trg.Name = src.Name
WHEN NOT MATCHED BY TARGET THEN
INSERT (Name, ShortDescription)
VALUES (Name, ShortDescription)
WHEN MATCHED THEN
UPDATE SET
ShortDescription = src.ShortDescription
WHEN NOT MATCHED BY SOURCE THEN
DELETE
;
PRINT 'Загрузка данных Workplans.Priorities'
MERGE INTO Workplans.Priorities AS trg
USING
(
VALUES
(N'Trivial', N'Незначительный')
,(N'Minor', N'Желательный')
,(N'Major', N'Важный')
,(N'Criticval', N'Критичный')
) AS src (Name, ShortDescription) ON trg.Name = src.Name
WHEN NOT MATCHED BY TARGET THEN
INSERT (Name, ShortDescription)
VALUES (Name, ShortDescription)
WHEN MATCHED THEN
UPDATE SET
ShortDescription = src.ShortDescription
WHEN NOT MATCHED BY SOURCE THEN
DELETE
;
PRINT 'Загрузка данных Workplans.Resolutions'
MERGE INTO Workplans.Resolutions AS trg
USING
(
VALUES
(N'NotResolved', N'резолюция проставляется в любом статусе кроме решен и закрыт')
,(N'Resolved', N'решен')
,(N'Rejected', N'не будет решен')
,(N'Double', N'дубль')
) AS src (Name, ShortDescription) ON trg.Name = src.Name
WHEN NOT MATCHED BY TARGET THEN
INSERT (Name, ShortDescription)
VALUES (Name, ShortDescription)
WHEN MATCHED THEN
UPDATE SET
ShortDescription = src.ShortDescription
WHEN NOT MATCHED BY SOURCE THEN
DELETE
;
PRINT 'Загрузка данных Workplans.LinkTypes'
MERGE INTO Workplans.LinkTypes AS trg
USING
(
VALUES
(N'Duplicate', N'дубликат')
,(N'LinkWith', N'связан')
,(N'Blocked', N'заблокирован')
) AS src (Name, ShortDescription) ON trg.Name = src.Name
WHEN NOT MATCHED BY TARGET THEN
INSERT (Name, ShortDescription)
VALUES (Name, ShortDescription)
WHEN MATCHED THEN
UPDATE SET
ShortDescription = src.ShortDescription
WHEN NOT MATCHED BY SOURCE THEN
DELETE
;
PRINT 'Загрузка данных Workplans.TaskTypes'
MERGE INTO Workplans.TaskTypes AS trg
USING
(
VALUES
(N'Bug', N'ошибка')
,(N'Task', N'задача')
,(N'Incident', N'инцидент')
) AS src (Name, ShortDescription) ON trg.Name = src.Name
WHEN NOT MATCHED BY TARGET THEN
INSERT (Name, ShortDescription)
VALUES (Name, ShortDescription)
WHEN MATCHED THEN
UPDATE SET
ShortDescription = src.ShortDescription
WHEN NOT MATCHED BY SOURCE THEN
DELETE
; |
DROP TABLE test_blob;
CREATE TABLE test_blob (
id INT PRIMARY KEY,
content BLOB
);
|
CREATE TABLE IF NOT EXISTS user (
id VARCHAR(36) NOT NULL,
name VARCHAR(20) NOT NULL,
PRIMARY KEY (id)
) ENGINE=INNODB DEFAULT CHARSET=utf8; |
-- phpMyAdmin SQL Dump
-- version 4.4.14
-- http://www.phpmyadmin.net
--
-- Host: localhost
-- Creato il: Apr 06, 2016 alle 22:39
-- Versione del server: 5.6.26
-- Versione PHP: 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: `vladicms`
--
-- --------------------------------------------------------
--
-- Struttura della tabella `blogs`
--
CREATE TABLE IF NOT EXISTS `blogs` (
`id` int(10) unsigned NOT NULL,
`id_user` int(11) NOT NULL,
`id_category` int(11) NOT NULL,
`title` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`description` mediumtext COLLATE utf8_unicode_ci NOT NULL,
`created_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
`updated_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Dump dei dati per la tabella `blogs`
--
INSERT INTO `blogs` (`id`, `id_user`, `id_category`, `title`, `description`, `created_at`, `updated_at`) VALUES
(1, 1, 1, 'Roma news aggiornato a', ' Le notizie sulla societ'' di A.S. Roma ', '2016-04-01 16:41:50', '2016-04-02 16:41:46'),
(2, 2, 1, 'Real Madrid Fun Club', 'Real Madrid Fun Club', '2016-04-04 12:37:57', '2016-04-04 12:37:57'),
(3, 2, 1, 'Arsenal Guinners', 'Arsenal Guinners', '2016-04-04 12:39:44', '2016-04-04 12:39:44');
-- --------------------------------------------------------
--
-- Struttura della tabella `blog_articles`
--
CREATE TABLE IF NOT EXISTS `blog_articles` (
`id` int(10) unsigned NOT NULL,
`id_blog` int(11) NOT NULL DEFAULT '1',
`title` text COLLATE utf8_unicode_ci NOT NULL,
`meta_key` text COLLATE utf8_unicode_ci,
`meta_desc` text COLLATE utf8_unicode_ci,
`full_text` longtext COLLATE utf8_unicode_ci NOT NULL,
`created_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
`updated_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP
) ENGINE=InnoDB AUTO_INCREMENT=7 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Dump dei dati per la tabella `blog_articles`
--
INSERT INTO `blog_articles` (`id`, `id_blog`, `title`, `meta_key`, `meta_desc`, `full_text`, `created_at`, `updated_at`) VALUES
(1, 1, 'Primo articolo', 'Primo articoloPrimo articoloPrimo articoloPrimo articolo', 'Primo articoloPrimo articoloPrimo articolo', 'Primo articoloPrimo articoloPrimo articoloPrimo articoloPrimo articolo', '2016-04-01 16:53:35', '2016-04-01 16:53:35'),
(2, 1, 'dqwwwwwwwwww', '', '', 'dwqwwwwwwwwwwww', '2016-04-01 16:56:30', '2016-04-01 16:56:30'),
(3, 1, 'dqwwqdwdq', '', '', 'dwqwqdwdqdwqqw', '2016-04-01 16:57:00', '2016-04-01 16:57:00'),
(4, 1, 'Articolo di prova', 'key,key,key', 'description lalalalala', 'fulllldlwlqdwldqlwqlwlqdldlqqldlqdwlqdwqdwqdwqdwdqwqdw', '2016-04-02 15:23:41', '2016-04-02 15:23:41'),
(5, 1, 'Totti rinnova il contratto! aggiornato', 'totti, roma, gladiatore', 'Totti e Roma stringono la mano', 'Totti e Roma stringono la manoTotti e Roma stringono la manoTotti e Roma stringono la manoTotti e Roma stringono la manoTotti e Roma stringono la manodwqdqqwd ~~~ Aggiornato! xD', '2016-04-02 15:34:41', '2016-04-02 16:44:15'),
(6, 2, 'Ronaldo decisivo contro il Barca aggiornato', 'ronaldo, real madrid, barcellona, el clasico', 'El clasico - Il ritorno', 'Il sabato Ronaldo decisivo contro il Barca . Risultato finale 2:1', '2016-04-04 12:40:51', '2016-04-04 12:41:06');
-- --------------------------------------------------------
--
-- Struttura della tabella `blog_categories`
--
CREATE TABLE IF NOT EXISTS `blog_categories` (
`id` int(10) unsigned NOT NULL,
`title` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`description` mediumtext COLLATE utf8_unicode_ci NOT NULL,
`id_root` int(11) NOT NULL DEFAULT '0'
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Dump dei dati per la tabella `blog_categories`
--
INSERT INTO `blog_categories` (`id`, `title`, `description`, `id_root`) VALUES
(1, 'Sport', 'Tutto su sport', 0),
(2, 'Finanza', 'Tutto sulla finanza', 0),
(3, 'Viaggio', 'Tutto sul viaggio', 0);
-- --------------------------------------------------------
--
-- Struttura della tabella `chats`
--
CREATE TABLE IF NOT EXISTS `chats` (
`id` int(10) unsigned NOT NULL,
`user1` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`user2` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`user1_is_typing` tinyint(1) NOT NULL DEFAULT '0',
`user2_is_typing` tinyint(1) NOT NULL DEFAULT '0',
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB AUTO_INCREMENT=3 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Dump dei dati per la tabella `chats`
--
INSERT INTO `chats` (`id`, `user1`, `user2`, `user1_is_typing`, `user2_is_typing`, `created_at`, `updated_at`) VALUES
(2, '1', '2', 0, 0, '2016-04-03 22:00:00', '2016-04-03 22:00:00');
-- --------------------------------------------------------
--
-- Struttura della tabella `chat_messages`
--
CREATE TABLE IF NOT EXISTS `chat_messages` (
`id` int(10) unsigned NOT NULL,
`sender_username` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`message` text COLLATE utf8_unicode_ci NOT NULL,
`read` tinyint(1) NOT NULL DEFAULT '0',
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB AUTO_INCREMENT=3 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Dump dei dati per la tabella `chat_messages`
--
INSERT INTO `chat_messages` (`id`, `sender_username`, `message`, `read`, `created_at`, `updated_at`) VALUES
(2, '2', 'da 2 a 1', 0, NULL, NULL);
-- --------------------------------------------------------
--
-- Struttura della tabella `migrations`
--
CREATE TABLE IF NOT EXISTS `migrations` (
`migration` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`batch` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Dump dei dati per la tabella `migrations`
--
INSERT INTO `migrations` (`migration`, `batch`) VALUES
('2014_10_12_000000_create_users_table', 1),
('2014_10_12_100000_create_password_resets_table', 1),
('2016_03_30_170437_CreateBlogsTable', 1),
('2016_03_30_171707_CreateBlogCategoriesTable', 1),
('2016_03_30_172024_CreateBlogArticlesTable', 1),
('2016_04_04_150140_CreateUserFriendsTable', 2),
('2016_04_04_150612_CreateUserMessagesTable', 3),
('2016_04_04_170743_CreateChatsTable', 4),
('2016_04_04_170859_CreateChatMessagesTable', 4);
-- --------------------------------------------------------
--
-- Struttura della tabella `password_resets`
--
CREATE TABLE IF NOT EXISTS `password_resets` (
`email` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`token` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`created_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
-- --------------------------------------------------------
--
-- Struttura della tabella `users`
--
CREATE TABLE IF NOT EXISTS `users` (
`id` int(10) unsigned NOT NULL,
`username` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`email` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`password` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`firstname` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`lastname` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`confirm_reg` int(11) NOT NULL DEFAULT '0',
`remember_token` varchar(100) COLLATE utf8_unicode_ci DEFAULT NULL,
`created_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
`updated_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP
) ENGINE=InnoDB AUTO_INCREMENT=3 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Dump dei dati per la tabella `users`
--
INSERT INTO `users` (`id`, `username`, `email`, `password`, `firstname`, `lastname`, `confirm_reg`, `remember_token`, `created_at`, `updated_at`) VALUES
(1, 'admin', 'admin@vladicms.it', '$2y$10$GYZv4zzzwOU.3c3xAT8SsOF89.fk7uH1SmhLYk4QSPubFIg9fEuj2', 'Volodymyr', 'Barabash', 0, 'zcKyF01Rn9fkbzjJkcIwFMlBT7wWMPnSL7bXoGgaivKmfGH9WBn3mPYiNB11', '2016-03-30 18:05:53', '2016-04-01 15:01:12'),
(2, 'andrey.gusev', 'andrey.gusev@mail.ru', '$2y$10$KCisvEWm2EMiO7pwe0mKUuOJmptt2xXmZhK1C5rrEXVFAI3vk0rpa', 'Andrey', 'Gusev', 0, 'dtK6qOvlajkcXhogXWqxKrgjMrurhWJLgOAEafENviXkWOMfjGaFyESH0tET', '2016-04-01 15:01:26', '2016-04-04 13:17:53');
-- --------------------------------------------------------
--
-- Struttura della tabella `user_friends`
--
CREATE TABLE IF NOT EXISTS `user_friends` (
`id` int(10) unsigned NOT NULL,
`user_1` int(11) NOT NULL,
`user_2` int(11) NOT NULL,
`status` int(11) NOT NULL DEFAULT '0',
`created_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
`updated_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
-- --------------------------------------------------------
--
-- Struttura della tabella `user_messages`
--
CREATE TABLE IF NOT EXISTS `user_messages` (
`id` int(10) unsigned NOT NULL,
`from` int(11) NOT NULL,
`to` int(11) NOT NULL,
`text` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`created_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
`updated_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP
) ENGINE=InnoDB AUTO_INCREMENT=9 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Dump dei dati per la tabella `user_messages`
--
INSERT INTO `user_messages` (`id`, `from`, `to`, `text`, `created_at`, `updated_at`) VALUES
(1, 2, 1, 'babqwq', '2016-04-04 16:53:01', '2016-04-04 16:53:01'),
(2, 1, 2, 'wdqqdwwdqwd', '2016-04-05 16:06:47', '2016-04-05 16:06:47'),
(3, 1, 2, 'ciao ciao', '2016-04-05 16:07:18', '2016-04-05 16:07:18'),
(4, 1, 2, 'ciao', '2016-04-05 16:57:26', '2016-04-05 16:57:26'),
(5, 2, 1, 'ciaowqdqdqdqdq', '2016-04-05 16:58:32', '2016-04-05 16:58:32'),
(6, 2, 1, 'hahahha', '2016-04-05 16:58:49', '2016-04-05 16:58:49'),
(7, 2, 1, 'dwqdqdwdqwdqw', '2016-04-05 17:00:11', '2016-04-05 17:00:11'),
(8, 2, 1, '12415661', '2016-04-05 17:01:46', '2016-04-05 17:01:46');
--
-- Indici per le tabelle scaricate
--
--
-- Indici per le tabelle `blogs`
--
ALTER TABLE `blogs`
ADD PRIMARY KEY (`id`);
--
-- Indici per le tabelle `blog_articles`
--
ALTER TABLE `blog_articles`
ADD PRIMARY KEY (`id`);
--
-- Indici per le tabelle `blog_categories`
--
ALTER TABLE `blog_categories`
ADD PRIMARY KEY (`id`);
--
-- Indici per le tabelle `chats`
--
ALTER TABLE `chats`
ADD PRIMARY KEY (`id`);
--
-- Indici per le tabelle `chat_messages`
--
ALTER TABLE `chat_messages`
ADD PRIMARY KEY (`id`);
--
-- Indici per le tabelle `password_resets`
--
ALTER TABLE `password_resets`
ADD KEY `password_resets_email_index` (`email`),
ADD KEY `password_resets_token_index` (`token`);
--
-- Indici per le tabelle `users`
--
ALTER TABLE `users`
ADD PRIMARY KEY (`id`),
ADD UNIQUE KEY `users_username_unique` (`username`),
ADD UNIQUE KEY `users_email_unique` (`email`);
--
-- Indici per le tabelle `user_friends`
--
ALTER TABLE `user_friends`
ADD PRIMARY KEY (`id`);
--
-- Indici per le tabelle `user_messages`
--
ALTER TABLE `user_messages`
ADD PRIMARY KEY (`id`);
--
-- AUTO_INCREMENT per le tabelle scaricate
--
--
-- AUTO_INCREMENT per la tabella `blogs`
--
ALTER TABLE `blogs`
MODIFY `id` int(10) unsigned NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=4;
--
-- AUTO_INCREMENT per la tabella `blog_articles`
--
ALTER TABLE `blog_articles`
MODIFY `id` int(10) unsigned NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=7;
--
-- AUTO_INCREMENT per la tabella `blog_categories`
--
ALTER TABLE `blog_categories`
MODIFY `id` int(10) unsigned NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=4;
--
-- AUTO_INCREMENT per la tabella `chats`
--
ALTER TABLE `chats`
MODIFY `id` int(10) unsigned NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=3;
--
-- AUTO_INCREMENT per la tabella `chat_messages`
--
ALTER TABLE `chat_messages`
MODIFY `id` int(10) unsigned NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=3;
--
-- AUTO_INCREMENT per la tabella `users`
--
ALTER TABLE `users`
MODIFY `id` int(10) unsigned NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=3;
--
-- AUTO_INCREMENT per la tabella `user_friends`
--
ALTER TABLE `user_friends`
MODIFY `id` int(10) unsigned NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT per la tabella `user_messages`
--
ALTER TABLE `user_messages`
MODIFY `id` int(10) unsigned 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 */;
|
-- ---------------------------------------------------------
-- Team Project for DB1 course, MovinOn Inc DataBase
-- Developed by ZOE Group
-- March 2021
-- ---------------------------------------------------------
USE movinon_zoe;
-- ---------------------------------------------------------
-- Query: 3_DriversForTermination
-- ---------------------------------------------------------
SELECT driver_id AS `ID Driver` , concat_ws(' ', first_name,middle_name,last_name) as `Driver's Full Name` , driving_record as `Driving Record`
FROM drivers
WHERE
driving_record IN ('D','E', 'F') AND
end_date IS NULL
ORDER BY driving_record
;
|
Create Procedure sp_Get_CGCustomer_PreDefFlag(@Customer nvarchar(50))
As
Select isnull(C.PreDefFlag,0) CGPreDefFlag, isnull(B.BeatID,0) CGBeatID, B.Description CGBeatName From Customer C
Inner Join Beat B ON C.DefaultBeatID = B.BeatID and B.Active = 1
Where (C.CustomerID = @Customer Or C.CustomerID = (Select CustomerID From Customer Where Company_Name=@Customer))
|
USE sakila;
-- 1. Monte uma query que exiba o id do ator, nome do ator e id do filme em que ele já atuou usando as tabelas actor e film_actor.
SELECT actor.actor_id AS 'ID ator',
CONCAT(actor.first_name,' ',actor.last_name) AS 'Noma completo',
fa.film_id AS 'ID filme'
FROM actor
INNER JOIN film_actor fa
ON actor.actor_id = fa.actor_id;
-- 2. Use o JOIN para exibir o nome, sobrenome e endereço de cada um dos funcionários do banco. Use as tabelas staff e address.
SELECT staff.first_name AS 'Nome',
staff.last_name AS 'Sobrenome',
address.address AS 'Endereço'
FROM staff
INNER JOIN address
ON staff.address_id = address.address_id;
-- 3. Exiba o id do cliente, nome e email dos primeiros 100 clientes, ordenados pelo nome em ordem decrescente, juntamente com o id do endereço e o nome da rua onde o cliente mora. Essas informações podem ser encontradas nas tabelas customer e address.
SELECT customer.customer_id AS 'ID do cliente',
CONCAT(customer.first_name,' ',customer.last_name) AS `Nome completo`,
customer.email AS 'e-mail',
address.address_id AS 'ID do endereço',
address.address AS 'Rua'
FROM address
INNER JOIN customer
ON address.address_id = customer.address_id
ORDER BY `Nome completo` DESC
LIMIT 100;
-- 4. Exiba o nome, email, id do endereço, endereço e distrito dos clientes que moram no distrito da California e que contêm "rene" em seus nomes. As informações podem ser encontradas nas tabelas address e customer.
SELECT CONCAT(customer.first_name,' ',customer.last_name) AS 'Nome completo',
customer.email AS 'E-mail',
address.address_id AS 'ID do endereço',
address.address AS 'Endereço',
address.district AS 'Distrito'
FROM address
INNER JOIN customer
ON address.address_id = customer.address_id
WHERE address.district = 'California'
AND customer.first_name LIKE '%rene%';
-- 5. Exiba o nome e a quantidade de endereços dos clientes cadastrados. Ordene seus resultados por nomes de forma decrescente. Exiba somente os clientes ativos. As informações podem ser encontradas na tabela address e customer.
SELECT CONCAT(customer.first_name,' ',last_name) AS `Nome completo`,
COUNT(address.address) AS 'Quantidade de endereços'
FROM customer
INNER JOIN address
ON address.address_id = customer.address_id
WHERE customer.active = 1
GROUP BY `Nome completo`
ORDER BY `Nome completo` DESC;
-- 6. Monte uma query que exiba o nome, sobrenome e a média de valor (amount) paga aos funcionários no ano de 2006. Use as tabelas payment e staff. Os resultados devem estar agrupados pelo nome e sobrenome do funcionário.
SELECT staff.first_name AS `Nome`,
staff.last_name AS `Sobrenome`,
AVG(payment.amount) AS 'Média de pagamento'
FROM payment
INNER JOIN staff
ON payment.staff_id = staff.staff_id
WHERE YEAR(payment.payment_date) = 2006
GROUP BY `Nome`, `Sobrenome`;
-- 7. Monte uma query que exiba o id do ator, nome, id do filme e título do filme, usando as tabelas actor, film_actor e film. Dica: você precisará fazer mais de um JOIN na mesma query.
SELECT actor.actor_id AS 'ID do ator',
CONCAT(actor.first_name,' ',actor.last_name) AS 'Nome completo',
film.film_id AS 'ID do filme',
film.title AS 'Título do filme'
FROM actor
INNER JOIN film_actor AS fa
ON actor.actor_id = fa.actor_id
INNER JOIN film
ON fa.film_id = film.film_id;
|
--Campaigns GM of:
SELECT CampaignName, CampaignBlurb, GameMasterUsername
FROM Campaigns
WHERE GameMasterUsername = $user
--Campaigns that have character in:
SELECT camps.CampaignName, camps.CampaignBlurb, charac.OwnerUsername, charac.CharacterName, ccp.KickedStatus
FROM Campaigns camps
LEFT JOIN CharacterCampaignParticipation ccp
ON camps.CampaignID = ccp.CampaignID
JOIN Characters charac
ON ccp.CharacterID = charac.CharacterID
WHERE charac.OwnerUsername = $user |
/*
Navicat MySQL Data Transfer
Source Server : jj
Source Server Version : 50022
Source Host : localhost:3306
Source Database : shiro
Target Server Type : MYSQL
Target Server Version : 50022
File Encoding : 65001
Date: 2017-05-07 21:00:04
*/
SET FOREIGN_KEY_CHECKS = 0;
-- ----------------------------
-- Table structure for `resources`
-- ----------------------------
DROP TABLE IF EXISTS `resources`;
CREATE TABLE `resources` (
`id` int(11) NOT NULL auto_increment,
`name` varchar(255) default NULL
COMMENT '资源名称',
`resUrl` varchar(255) default NULL
COMMENT '资源url',
`type` int(11) default NULL
COMMENT '资源类型 1:菜单 2：按钮',
`parentId` int(11) default NULL
COMMENT '父资源',
`sort` int(11) default NULL
COMMENT '排序',
PRIMARY KEY (`id`)
)
ENGINE = InnoDB
DEFAULT CHARSET = utf8;
-- ----------------------------
-- Records of resources
-- ----------------------------
INSERT INTO `resources` VALUES ('1', '系统设置', '/system', '0', '0', '1');
INSERT INTO `resources` VALUES ('2', '用户管理', '/usersPage', '1', '1', '2');
INSERT INTO `resources` VALUES ('3', '角色管理', '/rolesPage', '1', '1', '3');
INSERT INTO `resources` VALUES ('4', '资源管理', '/resourcesPage', '1', '1', '4');
INSERT INTO `resources` VALUES ('5', '添加用户', '/users/add', '2', '2', '5');
INSERT INTO `resources` VALUES ('6', '删除用户', '/users/delete', '2', '2', '6');
INSERT INTO `resources` VALUES ('7', '添加角色', '/roles/add', '2', '3', '7');
INSERT INTO `resources` VALUES ('8', '删除角色', '/roles/delete', '2', '3', '8');
INSERT INTO `resources` VALUES ('9', '添加资源', '/resources/add', '2', '4', '9');
INSERT INTO `resources` VALUES ('10', '删除资源', '/resources/delete', '2', '4', '10');
INSERT INTO `resources` VALUES ('11', '分配角色', '/users/saveUserRoles', '2', '2', '11');
INSERT INTO `resources` VALUES ('13', '分配权限', '/roles/saveRoleResources', '2', '3', '12');
-- ----------------------------
-- Table structure for `role`
-- ----------------------------
DROP TABLE IF EXISTS `role`;
CREATE TABLE `role` (
`id` int(11) NOT NULL auto_increment,
`roleDesc` varchar(255) default NULL,
PRIMARY KEY (`id`)
)
ENGINE = InnoDB
DEFAULT CHARSET = utf8;
-- ----------------------------
-- Records of role
-- ----------------------------
INSERT INTO `role` VALUES ('1', '管理员');
INSERT INTO `role` VALUES ('2', '普通用户');
INSERT INTO `role` VALUES ('3', '超级管理员');
-- ----------------------------
-- Table structure for `role_resources`
-- ----------------------------
DROP TABLE IF EXISTS `role_resources`;
CREATE TABLE `role_resources` (
`roleId` int(11) NOT NULL,
`resourcesId` int(11) NOT NULL,
PRIMARY KEY (`roleId`, `resourcesId`)
)
ENGINE = InnoDB
DEFAULT CHARSET = utf8;
-- ----------------------------
-- Records of role_resources
-- ----------------------------
INSERT INTO `role_resources` VALUES ('1', '2');
INSERT INTO `role_resources` VALUES ('1', '3');
INSERT INTO `role_resources` VALUES ('1', '4');
INSERT INTO `role_resources` VALUES ('1', '5');
INSERT INTO `role_resources` VALUES ('1', '6');
INSERT INTO `role_resources` VALUES ('1', '7');
INSERT INTO `role_resources` VALUES ('1', '8');
INSERT INTO `role_resources` VALUES ('1', '9');
INSERT INTO `role_resources` VALUES ('1', '10');
INSERT INTO `role_resources` VALUES ('1', '11');
INSERT INTO `role_resources` VALUES ('1', '13');
INSERT INTO `role_resources` VALUES ('2', '2');
INSERT INTO `role_resources` VALUES ('2', '3');
INSERT INTO `role_resources` VALUES ('2', '4');
INSERT INTO `role_resources` VALUES ('2', '9');
INSERT INTO `role_resources` VALUES ('3', '2');
INSERT INTO `role_resources` VALUES ('3', '3');
INSERT INTO `role_resources` VALUES ('3', '4');
INSERT INTO `role_resources` VALUES ('3', '5');
INSERT INTO `role_resources` VALUES ('3', '7');
INSERT INTO `role_resources` VALUES ('3', '8');
INSERT INTO `role_resources` VALUES ('3', '9');
INSERT INTO `role_resources` VALUES ('3', '10');
INSERT INTO `role_resources` VALUES ('9', '9');
-- ----------------------------
-- Table structure for `user`
-- ----------------------------
DROP TABLE IF EXISTS `user`;
CREATE TABLE `user` (
`id` int(11) NOT NULL auto_increment,
`username` varchar(33) default NULL,
`password` varchar(33) default NULL,
`enable` int(10) default '1'
COMMENT '是否启用',
PRIMARY KEY (`id`)
)
ENGINE = InnoDB
DEFAULT CHARSET = utf8;
-- ----------------------------
-- Records of user
-- ----------------------------
INSERT INTO `user` VALUES ('1', 'admin', '3ef7164d1f6167cb9f2658c07d3c2f0a', '1');
INSERT INTO `user` VALUES ('2', 'user1', '90e66e36e3135a91d298177d4389851e', '1');
INSERT INTO `user` VALUES ('3', 'user2', '121', '0');
INSERT INTO `user` VALUES ('4', 'user3', 'user3', '1');
INSERT INTO `user` VALUES ('5', 'user4', 'user4', '1');
INSERT INTO `user` VALUES ('6', 'user5', 'user5', '1');
INSERT INTO `user` VALUES ('7', 'user6', 'user6', '1');
INSERT INTO `user` VALUES ('8', 'user7', 'user7', '1');
INSERT INTO `user` VALUES ('9', 'user8', 'user8', '1');
INSERT INTO `user` VALUES ('10', 'user9', 'user9', '1');
INSERT INTO `user` VALUES ('11', 'user10', 'user10', '1');
INSERT INTO `user` VALUES ('12', 'user11', 'user11', '1');
INSERT INTO `user` VALUES ('13', 'user12', 'user12', '1');
INSERT INTO `user` VALUES ('14', 'user13', 'user13', '1');
INSERT INTO `user` VALUES ('15', 'user14', 'user14', '1');
INSERT INTO `user` VALUES ('16', 'user15', 'user15', '1');
INSERT INTO `user` VALUES ('17', 'user16', 'user16', '1');
INSERT INTO `user` VALUES ('18', 'user17', 'user17', '1');
INSERT INTO `user` VALUES ('19', 'user18', 'user18', '1');
INSERT INTO `user` VALUES ('21', 'user20', 'user20', '1');
-- ----------------------------
-- Table structure for `user_role`
-- ----------------------------
DROP TABLE IF EXISTS `user_role`;
CREATE TABLE `user_role` (
`userId` int(11) default NULL,
`roleId` int(11) default NULL
)
ENGINE = InnoDB
DEFAULT CHARSET = utf8;
-- ----------------------------
-- Records of user_role
-- ----------------------------
INSERT INTO `user_role` VALUES ('23', '2');
INSERT INTO `user_role` VALUES ('1', '1');
INSERT INTO `user_role` VALUES ('2', '2');
-- ----------------------------
-- Procedure structure for `init_shiro_demo`
-- ----------------------------
DROP PROCEDURE IF EXISTS `init_shiro_demo`;
DELIMITER ;;
CREATE DEFINER =`root`@`%` PROCEDURE `init_shiro_demo`()
BEGIN
/*
SQLyog 企业版 - MySQL GUI v7.14
MySQL - 5.6.16-log : Database -
*********************************************************************
*/
/*表结构插入*/
DROP TABLE IF EXISTS `u_permission`;
CREATE TABLE `u_permission` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`url` varchar(256) DEFAULT NULL
COMMENT 'url地址',
`name` varchar(64) DEFAULT NULL
COMMENT 'url描述',
PRIMARY KEY (`id`)
)
ENGINE = InnoDB
AUTO_INCREMENT = 21
DEFAULT CHARSET = utf8;
/*Table structure for table `u_role` */
DROP TABLE IF EXISTS `u_role`;
CREATE TABLE `u_role` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`name` varchar(32) DEFAULT NULL
COMMENT '角色名称',
`type` varchar(10) DEFAULT NULL
COMMENT '角色类型',
PRIMARY KEY (`id`)
)
ENGINE = InnoDB
AUTO_INCREMENT = 5
DEFAULT CHARSET = utf8;
/*Table structure for table `u_role_permission` */
DROP TABLE IF EXISTS `u_role_permission`;
CREATE TABLE `u_role_permission` (
`rid` bigint(20) DEFAULT NULL
COMMENT '角色ID',
`pid` bigint(20) DEFAULT NULL
COMMENT '权限ID'
)
ENGINE = InnoDB
DEFAULT CHARSET = utf8;
/*Table structure for table `u_user` */
DROP TABLE IF EXISTS `u_user`;
CREATE TABLE `u_user` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`nickname` varchar(20) DEFAULT NULL
COMMENT '用户昵称',
`email` varchar(128) DEFAULT NULL
COMMENT '邮箱|登录帐号',
`pswd` varchar(32) DEFAULT NULL
COMMENT '密码',
`create_time` datetime DEFAULT NULL
COMMENT '创建时间',
`last_login_time` datetime DEFAULT NULL
COMMENT '最后登录时间',
`status` bigint(1) DEFAULT '1'
COMMENT '1:有效，0:禁止登录',
PRIMARY KEY (`id`)
)
ENGINE = InnoDB
AUTO_INCREMENT = 15
DEFAULT CHARSET = utf8;
/*Table structure for table `u_user_role` */
DROP TABLE IF EXISTS `u_user_role`;
CREATE TABLE `u_user_role` (
`uid` bigint(20) DEFAULT NULL
COMMENT '用户ID',
`rid` bigint(20) DEFAULT NULL
COMMENT '角色ID'
)
ENGINE = InnoDB
DEFAULT CHARSET = utf8;
/*
SQLyog 企业版 - MySQL GUI v7.14
MySQL - 5.6.16-log : Database - i_wenyiba_com
*********************************************************************
*/
/*所有的表数据插入*/
/*Data for the table `u_permission` */
insert into `u_permission` (`id`, `url`, `name`)
values (4, '/permission/index.shtml', '权限列表'), (6, '/permission/addPermission.shtml', '权限添加'),
(7, '/permission/deletePermissionById.shtml', '权限删除'), (8, '/member/list.shtml', '用户列表'),
(9, '/member/online.shtml', '在线用户'), (10, '/member/changeSessionStatus.shtml', '用户Session踢出'),
(11, '/member/forbidUserById.shtml', '用户激活&禁止'), (12, '/member/deleteUserById.shtml', '用户删除'),
(13, '/permission/addPermission2Role.shtml', '权限分配'), (14, '/role/clearRoleByUserIds.shtml', '用户角色分配清空'),
(15, '/role/addRole2User.shtml', '角色分配保存'), (16, '/role/deleteRoleById.shtml', '角色列表删除'),
(17, '/role/addRole.shtml', '角色列表添加'), (18, '/role/index.shtml', '角色列表'),
(19, '/permission/allocation.shtml', '权限分配'), (20, '/role/allocation.shtml', '角色分配');
/*Data for the table `u_role` */
insert into `u_role` (`id`, `name`, `type`)
values (1, '系统管理员', '888888'), (3, '权限角色', '100003'), (4, '用户中心', '100002');
/*Data for the table `u_role_permission` */
insert into `u_role_permission` (`rid`, `pid`)
values (4, 8), (4, 9), (4, 10), (4, 11), (4, 12), (3, 4), (3, 6), (3, 7), (3, 13), (3, 14), (3, 15), (3, 16),
(3, 17), (3, 18), (3, 19), (3, 20), (1, 4), (1, 6), (1, 7), (1, 8), (1, 9), (1, 10), (1, 11), (1, 12), (1, 13),
(1, 14), (1, 15), (1, 16), (1, 17), (1, 18), (1, 19), (1, 20);
/*Data for the table `u_user` */
insert into `u_user` (`id`, `nickname`, `email`, `pswd`, `create_time`, `last_login_time`, `status`)
values (1, '管理员', 'admin', '9c3250081c7b1f5c6cbb8096e3e1cd04', '2016-06-16 11:15:33', '2016-06-16 11:24:10', 1),
(11, 'soso', '8446666@qq.com', 'd57ffbe486910dd5b26d0167d034f9ad', '2016-05-26 20:50:54', '2016-06-16 11:24:35',
1),
(12, '8446666', '8446666', '4afdc875a67a55528c224ce088be2ab8', '2016-05-27 22:34:19', '2016-06-15 17:03:16', 1);
/*Data for the table `u_user_role` */
insert into `u_user_role` (`uid`, `rid`) values (12, 4), (11, 3), (11, 4), (1, 1);
END
;;
DELIMITER ;
|
-- -- * 2 series
INSERT INTO series (title, author_id, subgenre_id)
VALUES ("The Riftwar Legacy", 1, 1);
INSERT INTO series (title, author_id, subgenre_id)
VALUES ("The Lord of the Rings", 2, 2);
-- * 2 sub-genres
INSERT INTO subgenres (name)
VALUES ("Sword and Sorcery");
INSERT INTO subgenres (name)
VALUES ("Sword and Sorcery");
-- -- * 2 authors
INSERT INTO authors (name)
VALUES ("Raymond E. Feist");
INSERT INTO authors (name)
VALUES ("JRR Tolkien");
-- * 3 books in each series
INSERT INTO books (title, year, series_id)
VALUES ("Krondor the Betrayal", 1998, 1);
INSERT INTO books (title, year, series_id)
VALUES ("Krondor the Assassins", 1999, 1);
INSERT INTO books (title, year, series_id)
VALUES ("Krondor Tear of the Gods", 2000, 1);
INSERT INTO books (title, year, series_id)
VALUES ("The Fellowship of the Ring", 1954, 2);
INSERT INTO books (title, year, series_id)
VALUES ("The Two Towers", 1954, 2);
INSERT INTO books (title, year, series_id)
VALUES ("The Return of the King", 1955, 2);
-- * 8 characters
-- * 4 characters in each series
-- * of each of those 4, make 2 in all of the books in a series, and 2 in just 1 book in a series
INSERT INTO characters (name, motto, species, author_id, series_id)
VALUES ("Gorath", "Unleash me!", "moredhel", 1, 1);
INSERT INTO characters (name, motto, species, author_id, series_id)
VALUES ("Squire James", "Fighting is fun", "human", 1, 1);
INSERT INTO characters (name, motto, species, author_id, series_id)
VALUES ("Owyn", "I wanna try", "magician", 1, 1);
INSERT INTO characters (name, motto, species, author_id, series_id)
VALUES ("Pug", "Omm", "magician", 1, 1);
INSERT INTO characters (name, motto, species, author_id, series_id)
VALUES ("Frodo Baggins", "I miss the Shire", "hobbit", 2, 2);
INSERT INTO characters (name, motto, species, author_id, series_id)
VALUES ("Samwise Gamgee", "It's all wrong", "hobbit", 2, 2);
INSERT INTO characters (name, motto, species, author_id, series_id)
VALUES ("Gandalf the Grey", "You shall not pass!", "magician", 2, 2);
INSERT INTO characters (name, motto, species, author_id, series_id)
VALUES ("Aragorn", "I do not fear death!", "human", 2, 2);
-- -- * Note you will need to insert values into your character_books join table
INSERT INTO character_books (book_id, character_id)
VALUES (1, 1);
INSERT INTO character_books (book_id, character_id)
VALUES (1, 2);
INSERT INTO character_books (book_id, character_id)
VALUES (1, 3);
INSERT INTO character_books (book_id, character_id)
VALUES (1, 4);
-- INSERT INTO character_books (book_id, character_id)
-- VALUES (2, 2);
-- INSERT INTO character_books (book_id, character_id)
-- VALUES (3, 2);
INSERT INTO character_books (book_id, character_id)
VALUES (4, 5);
INSERT INTO character_books (book_id, character_id)
VALUES (4, 6);
INSERT INTO character_books (book_id, character_id)
VALUES (4, 7);
INSERT INTO character_books (book_id, character_id)
VALUES (4, 8);
INSERT INTO character_books (book_id, character_id)
VALUES (5, 5);
INSERT INTO character_books (book_id, character_id)
VALUES (5, 6);
INSERT INTO character_books (book_id, character_id)
VALUES (5, 7);
INSERT INTO character_books (book_id, character_id)
VALUES (5, 8);
INSERT INTO character_books (book_id, character_id)
VALUES (6, 5);
INSERT INTO character_books (book_id, character_id)
VALUES (6, 6);
INSERT INTO character_books (book_id, character_id)
VALUES (6, 7);
INSERT INTO character_books (book_id, character_id)
VALUES (6, 8);
|
create table calc_results(
id bigint not null auto_increment primary key,
ore_calc_id bigint not null,
type_id bigint not null,
qty bigint not null
);
create index calc_results_ore_calc_id_idx on calc_results(ore_calc_id); |
DELIMITER $$
DROP VIEW IF EXISTS `flat_area_user`$$
CREATE ALGORITHM=UNDEFINED SQL SECURITY DEFINER VIEW `flat_area_user` AS (
SELECT
`su`.`id` AS `userId`,
`su`.`uid` AS `uid`,
`sa1`.`id` AS `areaId`,
`sa1`.`name` AS `areaName`
FROM (((`sys_user` `su`
JOIN `sys_office` `so`)
JOIN `sys_area` `sa`)
JOIN `sys_area` `sa1`)
WHERE ((`su`.`company_id` = `so`.`id`)
AND (`so`.`area_id` = `sa`.`id`)
AND ((`sa`.`id` = `sa1`.`id`)
OR (LOCATE(`sa1`.`id`,`sa`.`parent_ids`) > 0))))$$
DELIMITER ; |
DROP TABLE location_entries
|
INSERT INTO tblPLATFORM (PlatformName, PlatformDescr)
VALUES ('Netflix', 'A media streaming service for poeple to watch a wide variety of TV shows across the world.'),
('Hulu', 'A way to stream many TV shows in one place.'), ('Amazon Prime Videos', 'A Streaming service for Amazon Members. ')
INSERT INTO tblQUESTION_TYPE (QuestionTypeName, QuestionTypeDescr)
VALUES ('Short Answer', 'Less then 50 words.'), ('Long Answer', 'More then 50 words.'),
('Multiple Choice', 'Give many choices to user.'), ('Check all that apply', 'Allows one to choose more then one answer.')
INSERT INTO tblQUESTION (QuestionName, QuestionTypeID)
VALUES ('Around what time do you typically watch TV?', (SELECT QuestionTypeID FROM tblQUESTION_TYPE WHERE QuestionTypeName = 'Multiple Choice')),
('What is your go to genre?', (SELECT QuestionTypeID FROM tblQUESTION_TYPE WHERE QuestionTypeName = 'Check all that apply')),
('How many hours do you typically watch TV a day?', (SELECT QuestionTypeID FROM tblQUESTION_TYPE WHERE QuestionTypeName = 'Short Answer')),
('What is your top 5 favorite TV shows?', (SELECT QuestionTypeID FROM tblQUESTION_TYPE WHERE QuestionTypeName = 'Long Answer')),
('Where do you typically watch TV?', (SELECT QuestionTypeID FROM tblQUESTION_TYPE WHERE QuestionTypeName = 'Multiple Choice'))
INSERT INTO tblPLATFORM (PlatformName, PlatformDescr)
VALUES ('Pluto TV', 'An online streaming service to watch your favorite TV shows'),
('Sling', 'Online media to stream your TV') |
DELETE FROM members WHERE phone_number LIKE '070001%';
DELETE FROM members WHERE email LIKE 'e2e-auto-%';
DELETE FROM members WHERE email LIKE 'miwnvzsxjg_1500406593@tfbnw.net';
|
-- outage_procedure
--
CREATE TABLE outage_procedure (
id NUMBER NOT NULL PRIMARY KEY,-- Primary Key comes from outage_procedure_id_seq
nsm_id NUMBER NOT NULL REFERENCES users(id),
label VARCHAR2(50), -- DWDM Grouping Name
dws_outage_ticket VARCHAR2(80) NOT NULL,
dwdm_unavailability_ticket varchar2(80) NOT NULL,
tsa_super_notification char(1) NOT NULL,
ncc_notification VARCHAR2(80) NOT NULL,
nsm_notification VARCHAR2(80) NOT NULL,
noc_notification VARCHAR2(80) NOT NULL,
ncc_page varchar2(80) NOT NULL,
alt_route varchar2(80) NOT NULL,
notification_interval varchar2(80) NOT NULL,
deferred varchar2(80) NOT NULL,
dws_outage_report char(1) NOT NULL,
maintenance_window varchar2(80)
);
|
/*
Table: Employees
+---------------+---------+
| Column Name | Type |
+---------------+---------+
| employee_id | int |
| employee_name | varchar |
| manager_id | int |
+---------------+---------+
employee_id is the primary key for this table.
Each row of this table indicates that the employee with ID employee_id and name employee_name reports his work to his/her direct manager with manager_id
The head of the company is the employee with employee_id = 1.
Write an SQL query to find employee_id of all employees that directly or indirectly report their work to the head of the company.
The indirect relation between managers will not exceed 3 managers as the company is small.
Return result table in any order without duplicates.
*/
SELECT employee_id
FROM Employees
WHERE manager_id IN (
SELECT employee_id FROM Employees
WHERE manager_id IN (
SELECT employee_id FROM Employees WHERE manager_id = 1
)
) AND employee_id != 1; |
DELETE FROM webutility.access_site WHERE user_oid=:userOID AND
site_id in ( |
SELECT Count(InvoiceId) FROM Invoice
WHERE InvoiceDate BETWEEN "2009-01-01 00:00:00" AND "2011-12-31 00:00:00"
SELECT
COUNT(invoiceid) as "Sales",
STRFtime("%Y", InvoiceDate) as "Year"
FROM Invoice
WHERE InvoiceDate LIKE "%2009%" OR InvoiceDate LIKE "%2011%"
GROUP BY Year |
CREATE DATABASE IF NOT EXISTS naturespa;
USE naturespa;
CREATE TABLE `citas` (
`id` int(11) NOT NULL,
`hora` varchar(50) COLLATE utf8mb4_spanish2_ci NOT NULL,
`nombre` varchar(50) COLLATE utf8mb4_spanish2_ci NOT NULL,
`servicio` varchar(50) COLLATE utf8mb4_spanish2_ci NOT NULL,
`valor` int(50) COLLATE utf8mb4_spanish2_ci NOT NULL,
`fecha` varchar(50) COLLATE utf8mb4_spanish2_ci NOT NULL
) ENGINE=MyISAM DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_spanish2_ci;
ALTER TABLE `citas`
ADD PRIMARY KEY (`id`);
ALTER TABLE `citas`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=1; |
-- phpMyAdmin SQL Dump
-- version 4.2.7.1
-- http://www.phpmyadmin.net
--
-- Host: 127.0.0.1
-- Generation Time: Dec 18, 2014 at 06:30 AM
-- Server version: 5.6.20
-- PHP Version: 5.5.15
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 utf8 */;
--
-- Database: `inventory`
--
-- --------------------------------------------------------
--
-- Table structure for table `music`
--
CREATE TABLE IF NOT EXISTS `music` (
`id` int(3) NOT NULL,
`band` varchar(25) NOT NULL,
`album` varchar(30) NOT NULL,
`format` varchar(5) NOT NULL,
`description` varchar(200) NOT NULL,
`price` decimal(5,2) NOT NULL,
`quantity_aval` int(3) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=16 ;
--
-- Dumping data for table `music`
--
INSERT INTO `music` (`id`, `band`, `album`, `format`, `description`, `price`, `quantity_aval`) VALUES
(1, 'OAR', 'All Sides', 'CD', 'Proving that sometimes you can in fact go home again, the album is a reflection of OAR.\r\n', '8.99', 25),
(2, 'Queen', 'Greatest Hits', 'CD', 'Good old rock and roll.', '12.99', 15),
(3, 'The Killers', 'Direct Hits', 'CD', 'The Killers is an American rock band formed in Las Vegas, Nevada in 2001.', '10.99', 12),
(4, 'Coldplay', 'Greatest Hits', 'CD', 'All the best hits of this great band Coldplay', '12.99', 12),
(5, 'OAR', 'Any Time Now', 'CD', 'O.A.R. (an acronym for the bands full moniker, Of a Revolution) transformed itself from an independent college band to a Billboard chart-topper over the course of a long, varied career. ', '10.99', 2),
(6, 'Dave Matthews', 'Some Devil', 'CD', 'Formed in the early ''90s by South African vocalist/guitarist Dave Matthews, the Dave Matthews Band presented a more pop-oriented version of the Grateful Dead crossed with elements of jazz, funk, and t', '13.99', 7),
(7, 'Coldplay', 'Speed of Sound', 'CD', 'After surfacing in 2000 with the breakthrough single "Yellow," Coldplay quickly became one of the biggest bands of the new millennium, honing a mix of introspective Brit-pop and anthemic rock', '13.99', 17),
(8, 'The Killers', 'Believe Me Natalie', 'CD', 'Few bands in the early 2000s rose so quickly to the forefront of pop music as the Killers. With a mix of ''80s-styled synth pop and fashionista charm, the band''s street-smart debut, Hot Fuss, became on', '9.99', 23),
(9, 'The Temper Trap', 'Sweet Disposition', 'CD', 'With their choir boy vocals and panoramic pop/rock sound, the Temper Trap began building an audience in Melbourne, Australia, where the band first rose to local acclaim after playing St. Jerome''s Lane', '11.99', 8),
(10, 'Counting Crows', 'August and Everything After', 'CD', 'With their angst-filled hybrid of Van Morrison, the Band, and R.E.M., Counting Crows became an overnight sensation in 1994.', '10.99', 11),
(11, 'The Script', 'Science and Faith', 'CD', 'A self-described "Celtic soul" trio, the Script were founded by guitarist Mark Sheehan and vocalist Danny O''Donoghue in 2001. ', '8.99', 21),
(12, 'Imagine Dragons', 'Night Vision', 'CD', 'Las Vegas-based indie rockers Imagine Dragons formed in Provo, Utah in 2009. Like their desert-born stadium rock contemporaries the Killers, Imagine Dragons blend engaging, synth-based dance-pop with ', '11.99', 31),
(13, 'OneRepublic', 'Dreaming Out Loud', 'CD', 'OneRepublic had spent five years touring the musical minor leagues before its release, with Tedder splitting his time between the band''s work and production gigs for other artists', '12.99', 14),
(14, 'Coldplay', 'Ghost Stories', 'CD', 'The group''s emergence was perfectly timed; Radiohead had just released the overly cerebral Kid A, while Oasis had ditched two founding members and embraced psychedelic experimentation on Standing on t', '11.99', 10),
(15, 'Smashing Pumpkins', 'Oceania', 'CD', 'Of all the major alternative rock bands of the early ''90s, Smashing Pumpkins were the group least influenced by traditional underground rock. ', '14.50', 19);
--
-- Indexes for dumped tables
--
--
-- Indexes for table `music`
--
ALTER TABLE `music`
ADD PRIMARY KEY (`id`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `music`
--
ALTER TABLE `music`
MODIFY `id` int(3) NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=16;
/*!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 mERP_Sp_EnableGSTFlag
As
Begin
IF Not Exists(Select 'x' From tbl_mERP_RecConfigAbstract Where MenuName = 'GSTaxEnabled')
Insert Into tbl_mERP_RecConfigAbstract (MenuName,Flag,Status) Values ('GSTaxEnabled',1,3)
End
|
DELETE FROM [Reports]
WHERE StatusId = 4 |
create user 'user'@'localhost' identified by '1234';
grant select, insert, update, delete, create, create view, drop,
execute, references on *.* to 'user'@'localhost';
grant all privileges on *.* to 'user'@'%'
identified by '1234';
|
-- phpMyAdmin SQL Dump
-- version 4.1.14
-- http://www.phpmyadmin.net
--
-- Host: 127.0.0.1
-- Generation Time: Dec 29, 2015 at 06:20 PM
-- Server version: 5.6.17
-- PHP Version: 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 */;
--
-- Database: `jsfprvadb`
--
-- --------------------------------------------------------
--
-- Table structure for table `firme`
--
CREATE TABLE IF NOT EXISTS `firme` (
`PIB` varchar(32) NOT NULL,
`maticni_broj` varchar(32) NOT NULL,
`naziv` text NOT NULL,
`delatnost` text NOT NULL,
`mesto` varchar(64) NOT NULL,
`sifra_mesta` varchar(64) NOT NULL,
`postanski_broj` varchar(64) NOT NULL,
`ulica_broj` varchar(64) NOT NULL,
`telefon` varchar(64) NOT NULL,
`email` varchar(64) NOT NULL,
`opstina` varchar(64) NOT NULL,
`sifra_opstine` varchar(64) NOT NULL,
`sifra_delatnosti` varchar(64) NOT NULL,
`arhiviran` tinyint(1) NOT NULL DEFAULT '0',
PRIMARY KEY (`PIB`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Dumping data for table `firme`
--
INSERT INTO `firme` (`PIB`, `maticni_broj`, `naziv`, `delatnost`, `mesto`, `sifra_mesta`, `postanski_broj`, `ulica_broj`, `telefon`, `email`, `opstina`, `sifra_opstine`, `sifra_delatnosti`, `arhiviran`) VALUES
('00110022', '00001', 'Atlantic', 'distribucija', 'Simanovci', '011', '11000', 'Blagoja Pantica 12', '011/2323232 ', 'atlanticgrupa@gmail.com', 'Simanovci', '011045', '0023294', 0),
('00110033', '0002', 'Firma2', 'mlekara', 'Beograd', '011', '11000', 'Beogradsa 21', '011/2323232', 'bg@gamil.com', 'promenjeno', '01101', 'xx88x', 0),
('00110044', '0003', 'Firma3', 'xx', 'Beograd', '011', '11000', 'Beogradsa 21', '011/2323232', 'bg@gamil.com', 'promenjeno', '01101', 'xx88x', 1),
('00110055', '0004', 'Nelt', 'dstribucija', 'Budjanovci', '13001', '13001', 'Neznanih junaka 5', '0112323112', 'nelt@gmail,rs', 'Novi sad', '01233', '32112', 0),
('00110066', '023543', 'Marbo', 'prehrana', 'Mirijevo', '11003', '11003', 'Nikole Belog 23', '0112345333', 'marbo@gmail.com', 'Beograd', '11000', '2342', 0),
('00110077', '348885', 'Podravka', 'prehrana', 'Backi jarak', '00402', '13001', 'Niska 23', '0118877665', 'podravka@yahoo.com', 'Sid', '213004', '2315', 1);
-- --------------------------------------------------------
--
-- Table structure for table `korisnici`
--
CREATE TABLE IF NOT EXISTS `korisnici` (
`username` varchar(32) NOT NULL,
`password` varchar(32) NOT NULL,
`arhiviran` tinyint(1) NOT NULL DEFAULT '0',
`tip_korisnika` enum('referent_firme','referent_registra','administrator') NOT NULL,
`firma` varchar(32) NOT NULL,
PRIMARY KEY (`username`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Dumping data for table `korisnici`
--
INSERT INTO `korisnici` (`username`, `password`, `arhiviran`, `tip_korisnika`, `firma`) VALUES
('admin', 'admin', 0, 'administrator', ''),
('Danilo', 'lozinka', 0, 'referent_firme', '00110055'),
('firma2', 'ddd', 1, 'referent_firme', '00110033'),
('Milan', 'password', 0, 'referent_firme', '00110066'),
('neko', 'Kh73QHAcKz4DKbu', 0, 'referent_firme', ''),
('nesto@gmail.com', 'Zs8S3MrBvPnVHmy', 0, 'referent_firme', '00110022'),
('opstina1', 'pass123', 0, 'referent_registra', ''),
('opstina2', 'pass123', 1, 'referent_registra', ''),
('PeraKojot@gmail.com', '7zJxqVfvytvgrtY', 0, 'referent_firme', ''),
('predrag', 'password', 0, 'referent_firme', '00110022'),
('XXX@gmail.com', 'vCeasteyGqGKH6C', 0, 'referent_firme', '00110022');
-- --------------------------------------------------------
--
-- Table structure for table `materije_tlo`
--
CREATE TABLE IF NOT EXISTS `materije_tlo` (
`ID` int(11) NOT NULL AUTO_INCREMENT,
`ID_obrazac_4` int(11) NOT NULL,
`naziv` text NOT NULL,
`CAS` int(11) NOT NULL,
`koncetracija` double NOT NULL,
`nacin_odredjivanja` text NOT NULL,
`metod_odredjivanja` text NOT NULL,
PRIMARY KEY (`ID`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=18 ;
--
-- Dumping data for table `materije_tlo`
--
INSERT INTO `materije_tlo` (`ID`, `ID_obrazac_4`, `naziv`, `CAS`, `koncetracija`, `nacin_odredjivanja`, `metod_odredjivanja`) VALUES
(1, 1, 's1', 123, 123, 'asd', 'asd'),
(2, 1, 'a2', 123, 123, 'asd', 'asd'),
(3, 1, 'a3', 123, 123, 'asd', 'asd'),
(4, 1, 'a5', 123, 123, 'asd', 'asd'),
(7, 7, 'prva', 1, 2, 'nacin', 'metod'),
(8, 7, 'druga', 3, 4, 'nacin', 'metod'),
(9, 3, 'a2', 123, 123, 'asd', 'asd'),
(10, 3, 'a5', 123, 123, 'asd', 'asd'),
(11, 7, 'a2', 123, 123, 'asd', 'asd'),
(12, 3, 'a3', 123, 123, 'asd', 'asd'),
(13, 8, 's1', 123, 123, 'asd', 'asd'),
(14, 8, 'prva', 1, 2, 'nacin', 'metod'),
(15, 8, 'a2', 123, 123, 'asd', 'asd'),
(16, 9, 'a2', 123, 123, 'asd', 'asd'),
(17, 9, 'a2', 123, 123, 'asd', 'asd');
-- --------------------------------------------------------
--
-- Table structure for table `materije_vazduh`
--
CREATE TABLE IF NOT EXISTS `materije_vazduh` (
`ID` int(11) NOT NULL AUTO_INCREMENT,
`ID_obrazac_2` int(11) NOT NULL,
`naziv` text NOT NULL,
`SGIV` double NOT NULL,
`EKN` double NOT NULL,
`EKE` double NOT NULL,
`nacin_odredjivanja` text NOT NULL,
`metod_odredjivanja` text NOT NULL,
PRIMARY KEY (`ID`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=35 ;
--
-- Dumping data for table `materije_vazduh`
--
INSERT INTO `materije_vazduh` (`ID`, `ID_obrazac_2`, `naziv`, `SGIV`, `EKN`, `EKE`, `nacin_odredjivanja`, `metod_odredjivanja`) VALUES
(23, 14, 'H2CK', 23100, 134000, 13, 'procentualno', 'matematicki, teoriski'),
(24, 14, 'J8H9CV', 1234, 8574, 4958, 'nacin 2', 'metod 2'),
(25, 14, 'HJ8IU', 23100, 134000, 13, 'procentualno', 'matematicki, teoriski'),
(26, 15, 'H2CK', 23100, 134000, 13, 'procentualno', 'matematicki, teoriski'),
(27, 15, 'HJ8IU', 23100, 134000, 13, 'procentualno', 'matematicki, teoriski'),
(28, 16, 'S9D43', 1239, 5453, 543, 'necin 3', 'metod 3'),
(29, 16, 'SDF3DF', 0, 12437, 5435, 'nacin 4', 'metod 4'),
(30, 16, 'SDSAD3', 1239, 5453, 543, 'necin 3', 'metod 3'),
(31, 18, 'SDF3DF', 0, 12437, 5435, 'nacin 4', 'metod 4'),
(32, 18, 'SDSAD3', 1239, 5453, 543, 'necin 3', 'metod 3'),
(33, 17, 'HJ7HHD', 243847, 432845, 5325, 'nacin 5', 'metod 5'),
(34, 19, ' JFH79J', 2485, 788, 985439, 'nacin 7', 'metod 7');
-- --------------------------------------------------------
--
-- Table structure for table `materije_vode`
--
CREATE TABLE IF NOT EXISTS `materije_vode` (
`ID` int(11) NOT NULL AUTO_INCREMENT,
`ID_obrazac_3` int(11) NOT NULL,
`naziv` text NOT NULL,
`CAS` text NOT NULL,
`SGIV` double NOT NULL,
`redovne_kol` double NOT NULL,
`extremne_kol` double NOT NULL,
`nacin_odredjivanja` text NOT NULL,
`metod_odredjivanja` text NOT NULL,
PRIMARY KEY (`ID`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=33 ;
--
-- Dumping data for table `materije_vode`
--
INSERT INTO `materije_vode` (`ID`, `ID_obrazac_3`, `naziv`, `CAS`, `SGIV`, `redovne_kol`, `extremne_kol`, `nacin_odredjivanja`, `metod_odredjivanja`) VALUES
(6, 1, 'voda 5', '55', 5, 5, 5, 'nnn 5', 'mmm 5'),
(12, 5, 'prva materija', '112200', 1, 2, 3, 'nacin1', 'metod1'),
(13, 5, 'druga materija', '112200', 3, 4, 5, 'nacin1', 'metod1'),
(14, 5, 'materija atlantic', '24543', 325245, 234, 4324, 'nacin 1', 'metod 1'),
(15, 5, 'materija atlantic', '3525', 7874, 4784, 44444, 'nacin 2', 'metod 3'),
(16, 6, 'materija atlantic', '24543', 325245, 234, 4324, 'nacin 1', 'metod 1'),
(17, 6, 'materija atlantic', '3525', 7874, 4784, 44444, 'nacin 2', 'metod 3'),
(18, 6, 'materija atlantic', '24543', 325245, 234, 4324, 'nacin 1', 'metod 1'),
(19, 9, 'voda 5', '55', 5, 5, 5, 'nnn 5', 'mmm 5'),
(20, 9, 'materija atlantic', '24543', 325245, 234, 4324, 'nacin 1', 'metod 1'),
(21, 9, 'materija atlantic', '24543', 325245, 234, 4324, 'nacin 1', 'metod 1'),
(22, 10, 'voda 5', '55', 5, 5, 5, 'nnn 5', 'mmm 5'),
(23, 10, 'prva materija', '112200', 1, 2, 3, 'nacin1', 'metod1'),
(24, 11, 'voda 5', '55', 5, 5, 5, 'nnn 5', 'mmm 5'),
(25, 11, 'prva materija', '112200', 1, 2, 3, 'nacin1', 'metod1'),
(26, 11, 'druga materija', '112200', 3, 4, 5, 'nacin1', 'metod1'),
(27, 12, 'materija nelt', '5435', 5435, 34, 333, 'nacin 3', 'metod 3'),
(28, 12, 'materija nelt', '5435', 7483, 43, 90, 'nacin 5', 'metod 5'),
(29, 12, 'materija nelt', '234', 432, 33, 55, 'nacin 6', 'metod 6'),
(30, 13, 'materija nelt', '5435', 5435, 34, 333, 'nacin 3', 'metod 3'),
(31, 13, 'materija nelt', '5435', 7483, 43, 90, 'nacin 5', 'metod 5'),
(32, 13, 'materija nelt', '234', 432, 33, 55, 'nacin 6', 'metod 6');
-- --------------------------------------------------------
--
-- Table structure for table `obrazac_1`
--
CREATE TABLE IF NOT EXISTS `obrazac_1` (
`ID` int(11) NOT NULL AUTO_INCREMENT,
`PIB` varchar(32) NOT NULL,
`period` int(11) NOT NULL,
`predato` tinyint(1) NOT NULL DEFAULT '0',
`mesto` varchar(32) NOT NULL,
`opstina` varchar(32) NOT NULL,
`ol_ime_prezime` varchar(32) NOT NULL,
`ol_funk` varchar(32) NOT NULL,
`ol_tel` varchar(32) NOT NULL,
`k_ime_prezime` varchar(32) NOT NULL,
`k_funk` varchar(32) NOT NULL,
`k_tel` varchar(32) NOT NULL,
`k_email` varchar(128) NOT NULL,
PRIMARY KEY (`ID`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=12 ;
--
-- Dumping data for table `obrazac_1`
--
INSERT INTO `obrazac_1` (`ID`, `PIB`, `period`, `predato`, `mesto`, `opstina`, `ol_ime_prezime`, `ol_funk`, `ol_tel`, `k_ime_prezime`, `k_funk`, `k_tel`, `k_email`) VALUES
(4, '00110055', 2015, 0, 'Dobanovci', 'Beograd', 'Marija Markovic', 'komercijalista', '0641233838', 'Danilo Cvetojevic', 'mrca', '064558857', 'daca@gmail.com'),
(5, '00110055', 2014, 1, 'Dobanovci', 'Beograd', 'Marija Markovic', 'komercijalista', '0645577557', 'Danilo Cvetojevic', 'mrca', '064558869', 'daca@gmail.com'),
(6, '00110022', 2014, 1, 'Simanovci', 'Beograd', 'Pera Peric', 'direktnor', '011234432', 'Mira Markovic', 'sekretar', '0114475848', 'atlantic@gmail.com'),
(7, '00110066', 2014, 1, 'Mirijevo', 'Beograd', 'Paja Gradic', 'direktor', '022395475', 'Milan Gradic', 'mrca ', '064773837', 'mica@gmail.com'),
(9, '00110066', 2016, 1, 'Mirijevo', 'Beograd', 'Paja Gradic', 'direktor', '022395475', 'Milan Gradic', 'mrca ', '064773837', 'mica@gmail.com'),
(11, '00110022', 2015, 0, 'Simanovci', 'Novi Sad', 'Marko Makaric', 'Direktor proizvodnje', '011/2323342', 'Pera Ilic', 'Sekretar proizvodnje', '011/2323112', 'pera@gmail.com');
-- --------------------------------------------------------
--
-- Table structure for table `obrazac_2`
--
CREATE TABLE IF NOT EXISTS `obrazac_2` (
`ID` int(11) NOT NULL AUTO_INCREMENT,
`PIB` varchar(32) NOT NULL,
`period` int(11) NOT NULL,
`predato` tinyint(1) NOT NULL DEFAULT '0',
`naziv_izvora` varchar(64) NOT NULL,
`broj_izvora` int(11) NOT NULL,
`vrsta_izvora` varchar(64) NOT NULL,
`nadmorska_visina` double NOT NULL,
`visina_izvora` double NOT NULL,
`precnik` double NOT NULL,
`iskoriscenost` double NOT NULL,
`toplotna_snaga` double NOT NULL,
`srednja_god_temp` double NOT NULL,
`brzina` double NOT NULL,
`protok` double NOT NULL,
`rezim_rada` varchar(64) NOT NULL,
`dana_godisnje` int(11) NOT NULL,
`sati_dnevno` double NOT NULL,
`napomena` text NOT NULL,
PRIMARY KEY (`ID`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=22 ;
--
-- Dumping data for table `obrazac_2`
--
INSERT INTO `obrazac_2` (`ID`, `PIB`, `period`, `predato`, `naziv_izvora`, `broj_izvora`, `vrsta_izvora`, `nadmorska_visina`, `visina_izvora`, `precnik`, `iskoriscenost`, `toplotna_snaga`, `srednja_god_temp`, `brzina`, `protok`, `rezim_rada`, `dana_godisnje`, `sati_dnevno`, `napomena`) VALUES
(12, '00110022', 2016, 1, 'dimljak 1', 1, 'direktno', 20, 20, 2.5, 80, 90, 35, 10, 20, 'stalan', 221, 14, 'napomena'),
(14, '00110022', 2014, 1, 'izvor A', 2, 'dimljak', 120, 20, 1, 50, 220, 36, 110, 23, 'konstantan', 360, 18, ''),
(15, '00110022', 2015, 0, 'izvor A', 2, 'dimljak', 120, 20, 1, 50, 220, 36, 110, 23, 'konstantan', 360, 18, ''),
(16, '00110055', 2014, 1, 'Bjelovici', 1, 'dimljak', 232, 12, 5, 80, 40, 34, 231, 100, 'konstantan', 287, 14, 'spaljivanje velikih kolicina kartona, plastike i pokvarene robe tipa prehrana'),
(17, '00110066', 2014, 1, 'Mirijevo 4', 1, 'dimljak', 145, 23, 2, 50, 234, 34, 231, 234, 'povremen', 190, 8, ''),
(18, '00110055', 2015, 0, 'Bjelovici', 1, 'dimljak', 232, 12, 5, 80, 40, 34, 231, 100, 'konstantan', 287, 14, 'spaljivanje velikih kolicina kartona, plastike i pokvarene robe tipa prehrana'),
(19, '00110066', 2015, 1, 'Mirijevo 4', 1, 'dimljak', 145, 23, 2, 50, 234, 34, 231, 234, 'povremen', 190, 8, ''),
(21, '00110022', 2015, 1, 'izvor A', 2, 'dimljak', 120, 20, 1, 50, 220, 36, 110, 23, 'konstantan', 360, 18, '');
-- --------------------------------------------------------
--
-- Table structure for table `obrazac_3`
--
CREATE TABLE IF NOT EXISTS `obrazac_3` (
`ID` int(11) NOT NULL AUTO_INCREMENT,
`PIB` varchar(32) NOT NULL,
`period` int(11) NOT NULL,
`predato` tinyint(1) NOT NULL DEFAULT '0',
`naziv_ispusta` text NOT NULL,
`broj_ispusta` int(11) NOT NULL,
`rezim_rada` text NOT NULL,
`kapacitet` double NOT NULL,
`vremenski_period` text NOT NULL,
`ukupna_kolicina` double NOT NULL,
`mehanicko` text NOT NULL,
`hemisko` text NOT NULL,
`biolosko` text NOT NULL,
`izmena_toplote` text NOT NULL,
`napomena` text NOT NULL,
PRIMARY KEY (`ID`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=14 ;
--
-- Dumping data for table `obrazac_3`
--
INSERT INTO `obrazac_3` (`ID`, `PIB`, `period`, `predato`, `naziv_ispusta`, `broj_ispusta`, `rezim_rada`, `kapacitet`, `vremenski_period`, `ukupna_kolicina`, `mehanicko`, `hemisko`, `biolosko`, `izmena_toplote`, `napomena`) VALUES
(5, '00110022', 2016, 0, 'Boljevac 1', 2, 'kontinualan', 3411, '08 - 20', 23100, 'pesak', 'H3FG8H9', 'nema', 'Stela 2CF', 'napomena'),
(6, '00110022', 2015, 0, 'Boljevac 2', 3, 'kontinualan', 3411, '08 - 20', 23100, 'pesak', 'H3FG8H9', 'nema', 'Stela 2CF', 'napomena'),
(9, '00110022', 2014, 1, 'Boljevac 2', 3, 'kontinualan', 3411, '08 - 20', 23100, 'pesak', 'H3FG8H9', 'nema', 'Stela 2CF', 'napomena'),
(10, '00110022', 2014, 1, 'Boljevac 3', 3, 'kontinualan', 3411, '08 - 20', 23100, 'pesak', 'H3FG8H9', 'nema', 'Stela 2CF', 'napomena'),
(11, '00110022', 2014, 1, 'Boljevac 1', 3, 'kontinualan', 3411, '08 - 20', 23100, 'pesak', 'H3FG8H9', 'nema', 'Stela 2CF', 'napomena'),
(12, '00110055', 2014, 1, 'ispust sever', 1, 'periodican', 23189, '07.00 / 19.00', 325345, 'nema', 'H2OJK3J', 'pacovi', 'ne', ''),
(13, '00110055', 2015, 0, 'ispust sever', 1, 'periodican', 23189, '07.00 / 19.00', 325345, 'nema', 'H2OJK3J', 'pacovi', 'ne', '');
-- --------------------------------------------------------
--
-- Table structure for table `obrazac_4`
--
CREATE TABLE IF NOT EXISTS `obrazac_4` (
`ID` int(11) NOT NULL AUTO_INCREMENT,
`PIB` varchar(32) NOT NULL,
`period` int(11) NOT NULL,
`predato` tinyint(1) NOT NULL DEFAULT '0',
`naziv_lokacije` text NOT NULL,
`vrsta_otpada` text NOT NULL,
`kolicina_godisnje` double NOT NULL,
`nacin_odlaganja` text NOT NULL,
`napomena` text NOT NULL,
PRIMARY KEY (`ID`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=10 ;
--
-- Dumping data for table `obrazac_4`
--
INSERT INTO `obrazac_4` (`ID`, `PIB`, `period`, `predato`, `naziv_lokacije`, `vrsta_otpada`, `kolicina_godisnje`, `nacin_odlaganja`, `napomena`) VALUES
(1, '00110022', 2015, 0, 'lokacija 1', 'asd', 1, 'asd', 'asd'),
(3, '00110022', 2014, 1, 'lokacija 3', '231', 2, 'af', 'asf'),
(4, '00110033', 2015, 0, 'lokacija 4', 'sda', 3, 'asd', 'asd'),
(7, '00110022', 2016, 0, 'Simanovci', 'cvrst otpad', 20100, 'presovane kocke kartona', 'promena'),
(8, '00110066', 2014, 1, 'mirijevo G7', 'karton', 3414, 'nacin 2', 'metod 2'),
(9, '00110066', 2015, 1, 'mirijevo G7', 'karton', 3414, 'nacin 2', 'metod 2');
-- --------------------------------------------------------
--
-- Table structure for table `obrazac_5`
--
CREATE TABLE IF NOT EXISTS `obrazac_5` (
`ID` int(11) NOT NULL AUTO_INCREMENT,
`PIB` varchar(32) NOT NULL,
`period` int(11) NOT NULL,
`predato` tinyint(1) NOT NULL DEFAULT '0',
`mesto_nastanka` text NOT NULL,
`naziv` text NOT NULL,
`vrsta` text NOT NULL,
`opis` text NOT NULL,
`kategorija` text NOT NULL,
`karakter` text NOT NULL,
`izvestaj_broj` int(11) NOT NULL,
`izvestaj_datum` varchar(32) NOT NULL,
`fizicko_stanje` text NOT NULL,
`transport` text NOT NULL,
`odrediste` text NOT NULL,
`napomena` text NOT NULL,
PRIMARY KEY (`ID`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=14 ;
--
-- Dumping data for table `obrazac_5`
--
INSERT INTO `obrazac_5` (`ID`, `PIB`, `period`, `predato`, `mesto_nastanka`, `naziv`, `vrsta`, `opis`, `kategorija`, `karakter`, `izvestaj_broj`, `izvestaj_datum`, `fizicko_stanje`, `transport`, `odrediste`, `napomena`) VALUES
(8, '00110022', 2014, 1, 'Simanovci ', 'otpad atlantic', 'sekundarne sirovine', 'karton, plastika, staklo', 'druga', 'slabo degradivni', 239584, '11.03.2014', 'cvrsto', 'sleper', 'smetliste Backi jarak', ''),
(9, '00110055', 2014, 1, 'Dobanovci', 'otpad Nelt', 'sekundarne sirovine', 'organski otpad i karton', 'treca', 'slabo degradivni', 238584, '01.02.2014', 'tecno', 'cisterne Jakovljevic', 'Subotica', ''),
(10, '00110022', 2015, 0, 'Simanovci ', 'otpad atlantic', 'sekundarne sirovine', 'karton, plastika, staklo', 'druga', 'slabo degradivni', 239584, '11.03.2015', 'cvrsto', 'sleper', 'smetliste Backi jarak', ''),
(11, '00110055', 2015, 0, 'Dobanovci', 'otpad Nelt', 'sekundarne sirovine', 'organski otpad i karton', 'treca', 'slabo degradivni', 238584, '01.02.2015', 'tecno', 'cisterne Jakovljevic', 'Subotica', ''),
(12, '00110066', 2014, 1, 'Mirijevo', 'otpad Marbo', 'karton', 'karton, celofan', 'druga', 'defanzivan', 24848, '03.04.2014', 'cvrsto', 'kamioni Pera Detlic', 'Kotez', ''),
(13, '00110066', 2015, 0, 'Mirijevo', 'otpad Marbo', 'karton', 'karton, celofan', 'druga', 'defanzivan', 24848, '03.04.2014', 'cvrsto', 'kamioni Pera Detlic', 'Kotez', '');
-- --------------------------------------------------------
--
-- Table structure for table `period`
--
CREATE TABLE IF NOT EXISTS `period` (
`ID` int(11) NOT NULL AUTO_INCREMENT,
`godina` int(11) NOT NULL,
`zakljucan` tinyint(1) NOT NULL DEFAULT '0',
PRIMARY KEY (`ID`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=7 ;
--
-- Dumping data for table `period`
--
INSERT INTO `period` (`ID`, `godina`, `zakljucan`) VALUES
(2, 2014, 1),
(3, 2015, 0),
(6, 2016, 0);
-- --------------------------------------------------------
--
-- Table structure for table `sifarnici`
--
CREATE TABLE IF NOT EXISTS `sifarnici` (
`ID` int(11) NOT NULL AUTO_INCREMENT,
`naziv` text NOT NULL,
PRIMARY KEY (`ID`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=7 ;
--
-- Dumping data for table `sifarnici`
--
INSERT INTO `sifarnici` (`ID`, `naziv`) VALUES
(5, 'sifarnik delatnosti'),
(6, 'sifarnik zagadjujucih materija');
-- --------------------------------------------------------
--
-- Table structure for table `sifre`
--
CREATE TABLE IF NOT EXISTS `sifre` (
`ID` int(11) NOT NULL AUTO_INCREMENT,
`ID_sifarnika` int(11) NOT NULL,
`sifra` text NOT NULL,
`naziv` text NOT NULL,
PRIMARY KEY (`ID`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=7 ;
--
-- Dumping data for table `sifre`
--
INSERT INTO `sifre` (`ID`, `ID_sifarnika`, `sifra`, `naziv`) VALUES
(1, 5, '112323', 'nesto 1'),
(2, 5, '654g45y', 'nesto 2'),
(3, 6, '5435k5', 'nesto 4'),
(4, 6, '2314rewt3', 'nesto 5'),
(5, 5, '124rew3', 'nesto 7'),
(6, 6, '34234trter4', 'nesto 11');
/*!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 DATABASE factory;
CREATE TABLE factory.user (
id INT PRIMARY KEY AUTO_INCREMENT,
name VARCHAR(50) NOT NULL,
surname VARCHAR(50) NOT NULL
);
CREATE TABLE factory.product (
id INT PRIMARY KEY AUTO_INCREMENT,
name VARCHAR(50) NOT NULL,
price INT NOT NULL
) |
CREATE sequence parents_parent_id_seq start 2 increment 2;
CREATE sequence children_child_id_seq start 2 increment 2;
CREATE TABLE parents (
parent_id INTEGER NOT NULL DEFAULT nextval('parents_parent_id_seq'::regclass),
parent_name varchar(20),
replication_source varchar(20),
logical_version INT not null default 0,
CONSTRAINT parents_parent_id_pk PRIMARY KEY (parent_id)
);
CREATE TABLE children (
child_id INTEGER NOT NULL DEFAULT nextval('children_child_id_seq'::regclass),
parent_id INTEGER NOT NULL,
child_name varchar(20),
replication_source varchar(20),
CONSTRAINT children_child_id_pkey PRIMARY KEY (child_id)
); |
select * from DBA_SCHEDULER_DESTS;
|
Create database AttendanceRegister;
Use AttendanceRegister;
Create table Users (
UserId int auto_increment primary key,
Description varchar(255),
Email varchar(100) unique not null,
Password varchar(255) not null,
CreationDate datetime not null,
Permission boolean default 0 not null,
State boolean default 1 not null
);
Create table Entitys (
EntityId int auto_increment primary key,
Name varchar(100) not null,
Address varchar(100) not null,
Address2 varchar(100),
PostalCode varchar(25) not null,
Locality varchar(50) not null,
Telephone varchar(20) not null,
Fax varchar(20),
Email varchar(100) not null
);
Create table Employees (
EmployeeId int auto_increment primary key,
Name varchar(100) not null,
Address varchar(100) not null,
Address2 varchar(100),
PostalCode varchar(25) not null,
Locality varchar(50) not null,
Telephone varchar(20),
MobilePhone varchar(20) not null,
Grades varchar(255),
EntityId int not null,
UserId int not null,
foreign key (EntityId) references Entitys (EntityId),
foreign key (UserId) references Users (UserId)
);
Create table TypesAttendances (
TypeAttendanceId int auto_increment primary key,
Description varchar(25) not null
);
Create table Attendances (
AttendanceId int auto_increment primary key,
EmployeeId int not null,
DateAttendance datetime not null,
TypeAttendanceId int not null,
foreign key (EmployeeId) references Employees (EmployeeId),
foreign key (TypeAttendanceId) references TypesAttendances (TypeAttendanceId)
);
Create table ClosedDays (
ClosedDayId int auto_increment primary key,
EntityId int not null,
Description varchar(255),
Date date not null,
foreign key (EntityId) references Entitys (EntityId)
);
Create table OffDays (
OffDayId int auto_increment primary key,
EmployeeId int not null,
Description varchar(255),
Date date not null,
foreign key (EmployeeId) references Employees (EmployeeId)
);
Create table Schedules (
ScheduleId int auto_increment primary key,
EntityId int not null,
Description varchar(255),
LunchBreak boolean not null,
NormalHours int not null,
foreign key (EntityId) references Entitys (EntityId)
);
Create table DetailsSchedules (
DetailsScheduleId int auto_increment primary key,
ScheduleId int not null,
Description varchar(255),
StartTime time not null,
EndTime time not null,
foreign key (ScheduleId) references Schedules (ScheduleId)
);
Create table EmployeesSchedules (
ScheduleId int not null,
EmployeeId int not null,
primary key (ScheduleId, EmployeeId),
foreign key (ScheduleId) references Schedules (ScheduleId),
foreign key (EmployeeId) references Employees (EmployeeId)
);
Insert into TypesAttendances (Description) values
("Entrada"),
("Saída"); |
use mallika;
show tables;
create table AUTHOR(authorid int, name varchar(30), city varchar(30), country varchar(30), primary key(authorid));
create table PUBLISHER(publisherid int,name varchar(30),city varchar(30), country varchar(30), primary key(publisherid));
create table CATALOG(bookid int,title varchar(30), authorid int,publisherid int ,categoryid int, year int, price int, primary key(bookid), foreign key(publisherid) references PUBLISHER(publisherid), foreign key(categoryid) references CATEGORY(categoryid));
create table CATEGORY(categoryid int,description varchar(30), primary key(categoryid));
create table ORDERDETAILS(orderno int,bookid int,quantity int, primary key(orderno), foreign key(bookid) references CATALOG(bookid));
insert into AUTHOR values(1001,'teras chan','ca','usa');
insert into AUTHOR values(1002,'stevens','zombi','uganda');
insert into AUTHOR values(1003,'m mano','cair','canada');
insert into AUTHOR values(1004,'karthik','new york','usa');
insert into AUTHOR values(1005,'williams stallings','las vegas','usa');
insert into PUBLISHER values(1,'pearson','new york','usa');
insert into PUBLISHER values(2,'eee','new south vales','usa');
insert into PUBLISHER values(3,'phi','delhi','india');
insert into PUBLISHER values(4,'willey','berlin','germany');
insert into PUBLISHER values(5,'mgh','new york','usa');
insert into CATALOG values(11,'unix system prg',1001,1,1001,2000,251);
insert into CATALOG values(12,'digital signals',1002,2,1003,2001,425);
insert into CATALOG values(13,'logic design',1003,3,1002,1999,225);
insert into CATALOG values(14,'server prg',1004,4,1004,2001,333);
insert into CATALOG values(15,'linux os',1005,5,1005,2003,326);
insert into CATALOG values(16,'c++ bible',1005,5,1001,2000,526);
insert into CATALOG values(17,'cobol handbook',1005,4,1001,2000,628);
insert into CATEGORY values(1001,'computer science');
insert into CATEGORY values(1002,'algorithm design');
insert into CATEGORY values(1003,'electronics');
insert into CATEGORY values(1004,'programming');
insert into CATEGORY values(1005,'operating systems');
insert into ORDERDETAILS values(1,11,5);
insert into ORDERDETAILS values(2,12,8);
insert into ORDERDETAILS values(3,13,15);
insert into ORDERDETAILS values(4,14,22);
insert into ORDERDETAILS values(5,15,3);
select * from AUTHOR;
select * from PUBLISHER;
select * from CATEGORY;
select * from CATALOG;
select * from ORDERDETAILS;
select a.authorid,a.name,a.city,a.country,c.price from AUTHOR a,CATALOG c where a.authorid=c.authorid AND c.year>2000 group by c.authorid HAVING count(c.authorid)>=2;
select a.name from AUTHOR a, CATALOG c, ORDERDETAILS o where a.authorid=c.authorid and c.bookid=o.bookid and o.quantity=(select max(quantity) from ORDERDETAILS);
update CATALOG c set c.price=1.1*price where c.publisherid=(select publisherid from PUBLISHER where name='willey');
select p.name, c.price from PUBLISHER p, CATALOG c where p.publisherid=c.publisherid and p.name='willey';
|
-- phpMyAdmin SQL Dump
-- version 4.9.0.1
-- https://www.phpmyadmin.net/
--
-- Хост: 127.0.0.1:3306
-- Время создания: Мар 22 2020 г., 00:41
-- Версия сервера: 8.0.15
-- Версия PHP: 7.3.9
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 */;
--
-- База данных: `laravel_filtration`
--
-- --------------------------------------------------------
--
-- Структура таблицы `failed_jobs`
--
CREATE TABLE `failed_jobs` (
`id` bigint(20) UNSIGNED NOT NULL,
`connection` text COLLATE utf8mb4_unicode_ci NOT NULL,
`queue` text COLLATE utf8mb4_unicode_ci NOT NULL,
`payload` longtext COLLATE utf8mb4_unicode_ci NOT NULL,
`exception` longtext COLLATE utf8mb4_unicode_ci NOT NULL,
`failed_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Структура таблицы `games`
--
CREATE TABLE `games` (
`id` bigint(20) UNSIGNED NOT NULL,
`name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`steam` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`steam_info` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`origin` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`origin_info` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`uplay` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`uplay_info` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`epicgames` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`epicgames_info` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`gog` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`gog_info` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Дамп данных таблицы `games`
--
INSERT INTO `games` (`id`, `name`, `steam`, `steam_info`, `origin`, `origin_info`, `uplay`, `uplay_info`, `epicgames`, `epicgames_info`, `gog`, `gog_info`, `created_at`, `updated_at`) VALUES
(1, 'Outlast', 'https://store.steampowered.com/app/238320/Outlast/', 'donvardix', NULL, NULL, NULL, NULL, NULL, NULL, 'https://www.gog.com/game/outlast', 'donvardix', '2020-03-21 18:30:44', '2020-03-21 18:30:44'),
(2, 'Surgeon Simulator', 'https://store.steampowered.com/app/233720/Surgeon_Simulator/', 'donvardix', NULL, NULL, NULL, NULL, NULL, NULL, 'https://www.gog.com/game/surgeon_simulator', 'donvardix', '2020-03-21 18:33:23', '2020-03-21 18:33:23'),
(3, 'The Witcher: Enhanced Edition Director\'s Cut', 'https://store.steampowered.com/app/20900/The_Witcher_Enhanced_Edition_Directors_Cut/', 'donvardix', NULL, NULL, NULL, NULL, NULL, NULL, 'https://www.gog.com/game/the_witcher', 'donvardix', '2020-03-21 18:35:47', '2020-03-21 18:35:47'),
(4, 'The Witcher 2: Assassins of Kings Enhanced Edition', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, 'https://www.gog.com/game/the_witcher_2', 'donvardix', '2020-03-21 18:36:34', '2020-03-21 18:36:34'),
(5, 'Oxenfree', NULL, NULL, NULL, NULL, NULL, NULL, 'https://www.epicgames.com/store/ru/product/oxenfree/home', 'donvardix', 'https://www.gog.com/game/oxenfree', 'donvardix', '2020-03-21 18:39:42', '2020-03-21 18:39:42'),
(6, 'LIMBO', 'https://store.steampowered.com/app/48000/LIMBO/', 'donvardix\r\nа также на всей ферме', NULL, NULL, NULL, NULL, 'https://www.epicgames.com/store/ru/product/limbo/home', 'donvardix', 'https://www.gog.com/game/limbo', 'donvardix', '2020-03-21 18:48:00', '2020-03-21 18:48:00'),
(7, 'The Walking Dead', 'https://store.steampowered.com/app/207610/The_Walking_Dead/', NULL, NULL, NULL, NULL, NULL, NULL, NULL, '#', 'Есть в библиотеке:\r\nThe Walking Dead: Season 1', '2020-03-21 18:51:09', '2020-03-21 18:51:09'),
(8, 'Jotun: Valhalla Edition', 'https://store.steampowered.com/app/323580/Jotun_Valhalla_Edition/', NULL, NULL, NULL, NULL, NULL, 'https://www.epicgames.com/store/ru/product/jotun/home', NULL, 'https://www.gog.com/game/jotun', NULL, '2020-03-21 18:52:46', '2020-03-21 18:52:46'),
(9, 'World of Goo', 'https://store.steampowered.com/app/22000/World_of_Goo/', NULL, NULL, NULL, NULL, NULL, 'https://www.epicgames.com/store/ru/product/world-of-goo/home', NULL, NULL, NULL, '2020-03-21 18:56:34', '2020-03-21 18:56:34'),
(10, 'What Remains of Edith Finch', NULL, NULL, NULL, NULL, NULL, NULL, 'https://www.epicgames.com/store/ru/product/what-remains-of-edith-finch/home', NULL, NULL, NULL, '2020-03-21 18:57:17', '2020-03-21 18:57:17'),
(11, 'Watch_Dogs™', NULL, NULL, NULL, NULL, '#', 'donvardix@gmail.com', 'https://www.epicgames.com/store/ru/product/watch-dogs/home', NULL, NULL, NULL, '2020-03-21 19:05:40', '2020-03-21 19:05:40'),
(12, 'The Witness', NULL, NULL, NULL, NULL, NULL, NULL, 'https://www.epicgames.com/store/ru/product/the-witness/home', NULL, NULL, NULL, '2020-03-21 19:07:04', '2020-03-21 19:07:04'),
(13, 'The Talos Principle', NULL, NULL, NULL, NULL, NULL, NULL, 'https://www.epicgames.com/store/ru/product/the-talos-principle/home', NULL, NULL, NULL, '2020-03-21 19:08:18', '2020-03-21 19:08:18'),
(14, 'Surviving Mars', NULL, NULL, NULL, NULL, NULL, NULL, 'https://www.epicgames.com/store/ru/product/surviving-mars/home', NULL, NULL, NULL, '2020-03-21 19:09:15', '2020-03-21 19:09:15'),
(15, 'SUPERHOT', NULL, NULL, NULL, NULL, NULL, NULL, 'https://www.epicgames.com/store/ru/product/superhot/home', NULL, NULL, NULL, '2020-03-21 19:09:37', '2020-03-21 19:09:37'),
(16, 'Subnautica', NULL, NULL, NULL, NULL, NULL, NULL, 'https://www.epicgames.com/store/ru/product/subnautica/home', NULL, NULL, NULL, '2020-03-21 19:10:03', '2020-03-21 19:10:03'),
(17, 'Steep™', NULL, NULL, NULL, NULL, '#', NULL, 'https://www.epicgames.com/store/ru/product/steep/home', NULL, NULL, NULL, '2020-03-21 19:11:08', '2020-03-21 19:11:08'),
(18, 'Offworld Trading Company', 'https://store.steampowered.com/app/271240/Offworld_Trading_Company/', NULL, NULL, NULL, NULL, NULL, 'https://www.epicgames.com/store/ru/product/offworld-trading-company/home', NULL, NULL, NULL, '2020-03-21 19:12:08', '2020-03-21 19:12:08'),
(19, 'Metro 2033 Redux', 'https://store.steampowered.com/app/286690/Metro_2033_Redux/', NULL, NULL, NULL, NULL, NULL, 'https://www.epicgames.com/store/ru/product/metro-2033-redux/home', NULL, NULL, NULL, '2020-03-21 19:12:44', '2020-03-21 19:12:44'),
(20, 'Kingdom Come: Deliverance', NULL, NULL, NULL, NULL, NULL, NULL, 'https://www.epicgames.com/store/ru/product/kingdom-come-deliverance/home', NULL, NULL, NULL, '2020-03-21 19:13:53', '2020-03-21 19:13:53'),
(21, 'INSIDE', NULL, NULL, NULL, NULL, NULL, NULL, 'https://www.epicgames.com/store/ru/product/inside/home', NULL, NULL, NULL, '2020-03-21 19:14:42', '2020-03-21 19:14:42'),
(22, 'FOR HONOR™', 'https://store.steampowered.com/app/304390/FOR_HONOR/', NULL, NULL, NULL, '#', NULL, 'https://www.epicgames.com/store/ru/product/for-honor/home', NULL, NULL, NULL, '2020-03-21 19:15:39', '2020-03-21 19:15:39'),
(23, 'Assassin\'s Creed® Syndicate', NULL, NULL, NULL, NULL, NULL, NULL, 'https://www.epicgames.com/store/ru/product/assassins-creed-syndicate/home', NULL, NULL, NULL, '2020-03-21 19:18:14', '2020-03-21 19:18:14'),
(24, 'Assassin\'s Creed® Unity', NULL, NULL, NULL, NULL, '#', NULL, NULL, NULL, NULL, NULL, '2020-03-21 19:19:48', '2020-03-21 19:19:48'),
(25, 'Assassin’s Creed® IV Black Flag™', NULL, NULL, NULL, NULL, '#', NULL, NULL, NULL, NULL, NULL, '2020-03-21 19:21:24', '2020-03-21 19:21:24'),
(26, 'Assassin’s Creed® Chronicles: China', NULL, NULL, NULL, NULL, '#', NULL, NULL, NULL, NULL, NULL, '2020-03-21 19:22:47', '2020-03-21 19:22:47'),
(27, 'Farming Simulator 19', NULL, NULL, NULL, NULL, NULL, NULL, 'https://www.epicgames.com/store/ru/product/farming-simulator-19/home', NULL, NULL, NULL, '2020-03-21 19:23:33', '2020-03-21 19:23:33'),
(28, 'Satisfactory', NULL, NULL, NULL, NULL, NULL, NULL, 'https://www.epicgames.com/store/ru/product/satisfactory/home', NULL, NULL, NULL, '2020-03-21 19:23:57', '2020-03-21 19:23:57'),
(29, 'The Sims™ 2', NULL, NULL, '#', NULL, NULL, NULL, NULL, NULL, NULL, NULL, '2020-03-21 19:26:55', '2020-03-21 19:26:55'),
(30, 'Far Cry®', NULL, NULL, NULL, NULL, '#', NULL, NULL, NULL, NULL, NULL, '2020-03-21 19:31:10', '2020-03-21 19:31:10'),
(31, 'Far Cry® 2: Fortune\'s Edition', NULL, NULL, NULL, NULL, '#', NULL, NULL, NULL, NULL, NULL, '2020-03-21 19:31:30', '2020-03-21 19:31:30'),
(32, 'Far Cry 3', NULL, NULL, NULL, NULL, '#', NULL, NULL, NULL, NULL, NULL, '2020-03-21 19:31:57', '2020-03-21 19:31:57'),
(33, 'Far Cry® 4', NULL, NULL, NULL, NULL, '#', NULL, NULL, NULL, NULL, NULL, '2020-03-21 19:32:15', '2020-03-21 19:32:15'),
(34, 'Far Cry® Primal', NULL, NULL, NULL, NULL, '#', NULL, NULL, NULL, NULL, NULL, '2020-03-21 19:33:05', '2020-03-21 19:33:05'),
(35, 'The Sims™ 3', NULL, NULL, 'https://www.origin.com/rus/en-us/store/the-sims/the-sims-3', NULL, NULL, NULL, NULL, NULL, NULL, NULL, '2020-03-21 19:34:18', '2020-03-21 19:34:18'),
(36, 'Need for Speed: Most Wanted', NULL, NULL, 'https://www.origin.com/rus/en-us/store/need-for-speed/need-for-speed-most-wanted', NULL, NULL, NULL, NULL, NULL, NULL, NULL, '2020-03-21 19:34:57', '2020-03-21 19:34:57'),
(37, 'Battlefield 3', NULL, NULL, 'https://www.origin.com/rus/en-us/store/battlefield/battlefield-3', NULL, NULL, NULL, NULL, NULL, NULL, NULL, '2020-03-21 19:35:33', '2020-03-21 19:35:33'),
(38, 'Battlefield™ 1', NULL, NULL, 'https://www.origin.com/rus/en-us/store/battlefield/battlefield-1', NULL, NULL, NULL, NULL, NULL, NULL, NULL, '2020-03-21 19:36:35', '2020-03-21 19:36:35'),
(39, 'The Sims™ 4', NULL, NULL, 'https://www.origin.com/rus/en-us/store/the-sims/the-sims-4/', NULL, NULL, NULL, NULL, NULL, NULL, NULL, '2020-03-21 19:38:31', '2020-03-21 19:38:31'),
(40, 'FIFA 18', NULL, NULL, 'https://www.origin.com/rus/en-us/store/fifa/fifa-18', NULL, NULL, NULL, NULL, NULL, NULL, NULL, '2020-03-21 19:39:17', '2020-03-21 19:39:17');
-- --------------------------------------------------------
--
-- Структура таблицы `migrations`
--
CREATE TABLE `migrations` (
`id` int(10) UNSIGNED NOT NULL,
`migration` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`batch` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Дамп данных таблицы `migrations`
--
INSERT INTO `migrations` (`id`, `migration`, `batch`) VALUES
(19, '2014_10_12_000000_create_users_table', 1),
(20, '2019_08_19_000000_create_failed_jobs_table', 1),
(21, '2020_03_15_181433_create_games_table', 1);
-- --------------------------------------------------------
--
-- Структура таблицы `users`
--
CREATE TABLE `users` (
`id` bigint(20) UNSIGNED NOT NULL,
`nickname` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`account_id` int(11) NOT NULL,
`global_rating` int(10) UNSIGNED NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Индексы сохранённых таблиц
--
--
-- Индексы таблицы `failed_jobs`
--
ALTER TABLE `failed_jobs`
ADD PRIMARY KEY (`id`);
--
-- Индексы таблицы `games`
--
ALTER TABLE `games`
ADD PRIMARY KEY (`id`),
ADD UNIQUE KEY `games_name_unique` (`name`);
--
-- Индексы таблицы `migrations`
--
ALTER TABLE `migrations`
ADD PRIMARY KEY (`id`);
--
-- Индексы таблицы `users`
--
ALTER TABLE `users`
ADD PRIMARY KEY (`id`),
ADD UNIQUE KEY `users_nickname_unique` (`nickname`),
ADD UNIQUE KEY `users_account_id_unique` (`account_id`);
--
-- AUTO_INCREMENT для сохранённых таблиц
--
--
-- AUTO_INCREMENT для таблицы `failed_jobs`
--
ALTER TABLE `failed_jobs`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT для таблицы `games`
--
ALTER TABLE `games`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=41;
--
-- AUTO_INCREMENT для таблицы `migrations`
--
ALTER TABLE `migrations`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=22;
--
-- AUTO_INCREMENT для таблицы `users`
--
ALTER TABLE `users`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT;
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 */;
|
ALTER TABLE trading ADD COLUMN modified_by VARCHAR(45) NOT NULL DEFAULT '';
ALTER TABLE trading ADD COLUMN city VARCHAR(50);
|
/*
Navicat Premium Data Transfer
Source Server : Localhost
Source Server Type : MariaDB
Source Server Version : 100418
Source Host : localhost:3306
Source Schema : crud_mvc
Target Server Type : MariaDB
Target Server Version : 100418
File Encoding : 65001
Date: 12/05/2021 16:43:23
*/
SET NAMES utf8mb4;
SET FOREIGN_KEY_CHECKS = 0;
-- ----------------------------
-- Table structure for produtos
-- ----------------------------
DROP TABLE IF EXISTS `produtos`;
CREATE TABLE `produtos` (
`id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT,
`created` timestamp(0) NULL DEFAULT current_timestamp,
`updated` timestamp(0) NULL DEFAULT current_timestamp ON UPDATE CURRENT_TIMESTAMP,
`nome` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT '',
`descricao` text CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT '',
`valor` decimal(6, 0) NULL DEFAULT NULL,
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 9 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Records of produtos
-- ----------------------------
INSERT INTO `produtos` VALUES (6, '2021-05-11 13:59:14', '2021-05-11 15:08:11', 'Produto 1', 'Descrição do produto 1', 112);
INSERT INTO `produtos` VALUES (7, '2021-05-11 14:00:46', '2021-05-11 17:29:15', 'Produto 2', 'Descrição do produto 2', 120);
INSERT INTO `produtos` VALUES (8, '2021-05-11 14:01:14', '2021-05-11 15:08:21', 'Produto 3', 'Descrição do produto 3', 120);
-- ----------------------------
-- Table structure for usuarios
-- ----------------------------
DROP TABLE IF EXISTS `usuarios`;
CREATE TABLE `usuarios` (
`id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT,
`created` timestamp(0) NULL DEFAULT current_timestamp,
`updated` timestamp(0) NULL DEFAULT current_timestamp ON UPDATE CURRENT_TIMESTAMP,
`nome` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT '',
`email` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT '',
`admin` bit(1) NULL DEFAULT b'0',
`passwd` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT '',
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 7 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Records of usuarios
-- ----------------------------
INSERT INTO `usuarios` VALUES (3, '2021-05-10 14:51:44', '2021-05-12 15:26:32', 'Administrador', 'admin@email.com', b'1', '$2y$10$5ydZbPaEHSuGguPMpQxgfOAdbla3dgvdIF8URK1/AUvWQEp4bbRFq');
INSERT INTO `usuarios` VALUES (4, '2021-05-10 16:48:46', '2021-05-12 15:26:47', 'Usuario 1', 'usuario@email.com', b'0', '');
INSERT INTO `usuarios` VALUES (5, '2021-05-10 16:49:32', '2021-05-12 15:27:03', 'Usuario 2', 'usuario2@email.com', b'0', '$2y$10$8jVX6oE25e3YIxThORDRzevQ8xNhxmxUKJUOB/98DH./3KPBTsrfG');
INSERT INTO `usuarios` VALUES (6, '2021-05-12 15:22:47', '2021-05-12 15:27:16', 'Usuario 3', 'usuario3@email.com', b'0', '$2y$10$LIek6GUYW6N.DdBGYP3bpeisvO8ImB/sFrESOXkKxQGgNRvsKKrFi');
SET FOREIGN_KEY_CHECKS = 1;
|
CREATE TABLE COMMANDS
(
ID INTEGER PRIMARY KEY AUTOINCREMENT,
CMD text NOT NULL,
FULLTYPEOBJECT text not null,
MODULENAME text not null
);
INSERT INTO COMMANDS (CMD, MODULENAME, FULLTYPEOBJECT) VALUES ('HELLO', 'SYSTEM', '');
INSERT INTO COMMANDS (CMD, MODULENAME, FULLTYPEOBJECT) VALUES ('EXIT', 'SYSTEM', '');
INSERT INTO COMMANDS (CMD, MODULENAME, FULLTYPEOBJECT) VALUES('HUMEUR', 'SYSTEM', '');
INSERT INTO COMMANDS (CMD, MODULENAME, FULLTYPEOBJECT) VALUES('OFF', 'SYSTEM', '');
INSERT INTO COMMANDS (CMD, MODULENAME, FULLTYPEOBJECT) VALUES('ON', 'SYSTEM', '');
INSERT INTO COMMANDS (CMD, MODULENAME, FULLTYPEOBJECT) VALUES ('CONTEXT', 'SYSTEM', '');
INSERT INTO COMMANDS (CMD, MODULENAME, FULLTYPEOBJECT) VALUES ('LOAD CONTEXT', 'SYSTEM', '');
INSERT INTO COMMANDS (CMD, MODULENAME, FULLTYPEOBJECT) VALUES ('READMAIL', 'EMAIL','EmailPlug.ImapProvider'); |
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