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values | length_bytes int64 23 9.61M | score float64 2.52 5.28 | int_score int64 3 5 | detected_licenses listlengths 0 44 | license_type stringclasses 2
values | text stringlengths 23 9.43M | download_success bool 1
class |
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839923daec5c78beaed4108765e74a500a559b99 | SQL | FullStackOliveiraGilberto/database-insert-script-generator | /GET_INSERT_SCRIPT_ORACLE.sql | ISO-8859-1 | 6,989 | 4.21875 | 4 | [] | no_license | create type linha_script is object (conteudo varchar2(4000));
/
create type tabela_linha is table of linha_script;
/
CREATE OR REPLACE FUNCTION GET_INSERT_SCRIPT (
V_TABLE_NAME VARCHAR2,
V_OWNER_ORIGEM VARCHAR2,
V_OWNER_DESTINO VARCHAR2)
RETURN tabela_linha
AS
tabela_existe BOOLEAN := FALSE;
-- variveis auxiliares para execuo e gerao
id_cursor NUMBER;
col_count NUMBER;
descricao_tab dbms_sql.desc_tab;
TYPE cur_typ IS REF CURSOR;
cur cur_typ;
-- variveis com valores parciais de uma linha
tmp_campos VARCHAR2(4000) := '';
nc int := 0;
tmp_valores VARCHAR2(4000) := '';
nv int := 0;
-- variveis para recuperar valores dos campos
namevar VARCHAR2(32767);
numvar NUMBER;
datevar DATE;
query VARCHAR2(4000);
--n INT;
-- variveis de tabelas para armazenar todas as linhas de dados
campos tabela_linha := tabela_linha();
valores tabela_linha := tabela_linha();
BEGIN
-- procura a tabela e abre um cursor implcito
FOR TAB_REC IN
(SELECT TABLE_NAME, OWNER
FROM ALL_TABLES
WHERE TABLE_NAME = UPPER(V_TABLE_NAME)
AND V_OWNER_ORIGEM = UPPER(OWNER)) LOOP
-- armazena que a tabela foi encontrada
tabela_existe := true;
-- executa a query para recuperar todos os valores, abrindo um cursor atravs da biblioteca do oracle
query := 'SELECT * FROM ' || TAB_REC.OWNER || '.' || TAB_REC.TABLE_NAME;
id_cursor := dbms_sql.open_cursor;
dbms_sql.parse(id_cursor, query, dbms_sql.native);
--recupera descrio das colunas do cursor
dbms_sql.describe_columns( c => id_cursor, col_cnt => col_count, desc_t => descricao_tab);
-- inicia variveis parciais dos campos e dos valores
tmp_campos := ' (';
-- adiciona a primeira linha do INSERT
campos.extend;
nc := nc + 1;
campos(nc) := linha_script('INSERT INTO ' || V_OWNER_DESTINO || '.' || TAB_REC.TABLE_NAME);
-- percorre todas as colunas, cria a lista de campos do insert e faz o bind das colunas de retorno
FOR i IN 1 .. col_count LOOP
--somente coloca a vrgula a partir de segundo elemento
if i > 1 then
tmp_campos := tmp_campos || ', ';
--quebra linha a cada N elementos
if i mod 30 = 0 then
--adiciona a linha de elementos parcial na lista final
campos.extend;
nc := nc + 1;
campos(nc) := linha_script(tmp_campos);
--limpa a varivel de campos parcial
tmp_campos := ' ';
end if;
end if;
--adiciona o campo atual na varivel parcia
tmp_campos := tmp_campos || descricao_tab(i).col_name;
--bind das colunas de resultado
IF descricao_tab(i).col_type = 2 THEN
DBMS_SQL.DEFINE_COLUMN(id_cursor, i, numvar);
ELSIF descricao_tab(i).col_type = 12 THEN
DBMS_SQL.DEFINE_COLUMN(id_cursor, i, datevar);
ELSE
DBMS_SQL.DEFINE_COLUMN(id_cursor, i, namevar, 4000);
END IF;
END LOOP;
--adiciona ltima linha de campos
campos.extend;
nc := nc + 1;
campos(nc) := linha_script(tmp_campos || ')');
--inicia parte dos calores
campos.extend;
nc := nc + 1;
campos(nc) := linha_script('VALUES');
--executa o select * na tabela
if dbms_sql.execute(id_cursor) = 0 then
--cabealho
valores.extend;
nv := nv + 1;
valores(nv) := linha_script('---------- CARGA DA TABELA ' || TAB_REC.OWNER || '.' || TAB_REC.TABLE_NAME || '----------');
--adiciona linha para DELETE
valores.extend;
nv := nv + 1;
valores(nv) := linha_script('DELETE FROM ' || V_OWNER_DESTINO || '.' || TAB_REC.TABLE_NAME || ';');
--percorre os registros retornados pelo select
while dbms_sql.fetch_rows(id_cursor) > 0 LOOP
--adiciona as linhas dos campos "INSERT INTO TAB (CAMPO1, CAMPO2, ...) VALUES " para cada conjunto de valores
FOR i IN 1 .. nc LOOP
valores.extend;
nv := nv + 1;
valores(nv) := campos(i);
END LOOP;
--inicia a lista de valores
tmp_valores := ' (';
--percorre cada coluna do registro atual
FOR i IN 1 .. col_count LOOP
--somente coloca a vrgula a partir de segundo elemento
if i > 1 then
tmp_valores := tmp_valores || ', ';
--quebra linha a cada N elementos
if i mod 30 = 0 then
--adiciona a linha de elementos parcial na lista final
valores.extend;
nv := nv + 1;
valores(nv) := linha_script(tmp_valores);
--limpa a varivel de valores parcial
tmp_valores := ' ';
end if;
end if;
--recupera o valor dependendo do tipo e adiciona varivel parcial de valores
if descricao_tab(i).col_type = 2 then --number
DBMS_SQL.COLUMN_VALUE(id_cursor, i, numvar);
if numvar is null then
tmp_valores := tmp_valores || 'null';
else
tmp_valores := tmp_valores || replace(to_char(numvar),',','.');
end if;
elsif descricao_tab(i).col_type = 12 then --date
DBMS_SQL.COLUMN_VALUE(id_cursor, i, datevar);
if datevar is null then
tmp_valores := tmp_valores || 'null';
else
if datevar = trunc(datevar) then
tmp_valores := tmp_valores || 'to_date('''
|| to_char(datevar, 'DD/MM/YYYY') ||''',''DD/MM/YYYY'')';
else
tmp_valores := tmp_valores || 'to_date('''
|| to_char(datevar, 'DD/MM/YYYY hh24:mi:ss') ||''',''DD/MM/YYYY hh24:mi:ss'')';
end if;
end if;
else --varchar2, char, others
DBMS_SQL.COLUMN_VALUE(id_cursor, i, namevar);
if namevar is null then
tmp_valores := tmp_valores || 'null';
else
tmp_valores := tmp_valores || '''' || namevar || '''';
end if;
end if;
end loop;
--adiciona ltima linha de valores
valores.extend;
nv := nv + 1;
valores(nv) := linha_script(tmp_valores || ');');
END LOOP;
--adiciona um commit ao final de cada tabela (rodap)
valores.extend;
nv := nv + 1;
valores(nv) := linha_script('commit;');
--adiciona uma linha em branco
valores.extend;
nv := nv + 1;
valores(nv) := linha_script('');
end if;
--fecha o cursor
dbms_sql.close_cursor(id_cursor);
END LOOP;
--se a tabela no existir, retorna um comentrio de erro
IF NOT tabela_existe THEN
campos.extend;
campos(1) := linha_script('-- Table ' || V_TABLE_NAME || ' not found');
return campos;
END IF;
RETURN valores;
END;
/ | true |
281f86972a1f569b03cfdf869a818ed3b413528c | SQL | thecodemancer/BIMarathon2021 | /ELT/temp_table_4.sql | UTF-8 | 1,594 | 3.078125 | 3 | [] | no_license | INSERT INTO TEMP_TABLE_4
WITH NS AS (
select 1 as n union all
select 2 union all
select 3 union all
select 4 union all
select 5 union all
select 6 union all
select 7 union all
select 8 union all
select 9 union all
select 11 union all
select 12 union all
select 13 union all
select 14 union all
select 15 union all
select 16 union all
select 17 union all
select 18 union all
select 19 union all
select 20 union all
select 21 union all
select 22 union all
select 23 union all
select 24 union all
select 25 union all
select 26 union all
select 27 union all
select 28
)
SELECT
id_track
,name
,popularity
,duration_min
,explicit
,artists
,id_artists
,release_date
,release_year
,calculated_release_year
,danceability
,energy
,_key
,loudness
,mode
,speechiness
,acousticness
,instrumentalness
,liveness
,valence
,tempo
,time_signature
,artist_id
,artist_name
,artist_followers
,artist_genres
,TRIM(SUBSTRING_INDEX(SUBSTRING_INDEX(
REPLACE(REPLACE(REPLACE(REPLACE(BASE.artist_genres,'[',''),']',''),"'",''),'"','')
, ',', NS.n), ',', -1)) as artist_genre
,artist_popularity
FROM temp_table_3 BASE
INNER JOIN NS
ON NS.n <= CHAR_LENGTH(BASE.artist_genres) - CHAR_LENGTH(REPLACE(BASE.artist_genres, ',', '')) + 1
LIMIT 800000,50000 | true |
8f9dafaa1f51f5d14c17b95a784e27c5493a4f5a | SQL | margeir/MetSala | /metreikn_NYR.sql | UTF-8 | 10,240 | 3.28125 | 3 | [] | no_license | /*
Navicat MySQL Data Transfer
Source Server : localhost
Source Server Version : 50144
Source Host : localhost:3306
Source Database : metreikn
Target Server Type : MYSQL
Target Server Version : 50144
File Encoding : 65001
Date: 2010-03-09 11:53:06
*/
SET FOREIGN_KEY_CHECKS=0;
-- ----------------------------
-- Table structure for `reikn_item`
-- ----------------------------
DROP TABLE IF EXISTS `reikn_item`;
CREATE TABLE `reikn_item` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`id_reikn` int(11) NOT NULL,
`lysing` varchar(45) NOT NULL,
`item` varchar(15) NOT NULL,
`qty` int(11) NOT NULL,
`verd` float(10,2) NOT NULL,
`vsk` float(10,2) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=116 DEFAULT CHARSET=latin1;
-- ----------------------------
-- Records of reikn_item
-- ----------------------------
INSERT INTO `reikn_item` VALUES ('1', '100000', 'Vinna tölvur', '100', '4', '8580.00', '2188.00');
-- ----------------------------
-- Table structure for `reikningar`
-- ----------------------------
DROP TABLE IF EXISTS `reikningar`;
CREATE TABLE `reikningar` (
`id` int(11) NOT NULL,
`stofnd` date NOT NULL,
`vidskm_nr` varchar(15) NOT NULL,
`stadur` varchar(45) NOT NULL,
`pnr` int(11) NOT NULL,
`heimili` varchar(30) NOT NULL,
`reiknd` date NOT NULL,
`samtals` double(10,0) NOT NULL,
`vsk` double(10,0) NOT NULL,
`solumadur` varchar(50) NOT NULL,
`texti` text,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- ----------------------------
-- Records of reikningar
-- ----------------------------
INSERT INTO `reikningar` VALUES ('100000', '2010-03-02', '4107022820', '', '0', '', '2010-02-26', '34320', '8752', 'Margeir Reynisson', null);
-- ----------------------------
-- Table structure for `sam_item`
-- ----------------------------
DROP TABLE IF EXISTS `sam_item`;
CREATE TABLE `sam_item` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`id_reikn` int(11) NOT NULL,
`lysing` varchar(45) NOT NULL,
`item` varchar(15) NOT NULL DEFAULT '',
`qty` int(11) NOT NULL,
`verd` float(10,2) NOT NULL,
`vsk` float(10,2) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=56 DEFAULT CHARSET=latin1;
-- ----------------------------
-- Records of sam_item
-- ----------------------------
-- Margeir INSERT INTO `sam_item` VALUES ('1', '20', 'Vefhýsing tilboð', '110', '1', '3205.00', '817.00');
-- ----------------------------
-- Table structure for `samningar`
-- ----------------------------
DROP TABLE IF EXISTS `samningar`;
CREATE TABLE `samningar` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`stofnd` date NOT NULL,
`vidskm_nr` varchar(14) NOT NULL,
`reiknd` date NOT NULL,
`samtals` double(10,0) NOT NULL,
`vsk` double(10,0) NOT NULL,
`solumadur` varchar(50) NOT NULL,
`texti` text,
PRIMARY KEY (`id`),
UNIQUE KEY `VSKM` (`vidskm_nr`)
) ENGINE=InnoDB AUTO_INCREMENT=46 DEFAULT CHARSET=latin1;
-- ----------------------------
-- Records of samningar
-- ----------------------------
-- ekki þörf á að hafa samninga INSERT INTO `samningar` VALUES ('5', '2010-03-02', '6909953019', '2010-03-02', '0', '817', 'Margeir Reynisson', null);
-- ----------------------------
-- Table structure for `solumenn`
-- ----------------------------
DROP TABLE IF EXISTS `solumenn`;
CREATE TABLE `solumenn` (
`id` int(10) NOT NULL AUTO_INCREMENT,
`nafn` varchar(70) NOT NULL,
`notendan` varchar(15) NOT NULL,
`kt` varchar(10) NOT NULL,
`simi` varchar(7) NOT NULL,
`netfang` varchar(50) NOT NULL,
`lykilord` varchar(10) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=3 DEFAULT CHARSET=latin1;
-- ----------------------------
-- Records of solumenn
-- ----------------------------
INSERT INTO `solumenn` VALUES ('1', 'Sale', 'sala', '0000000000', '0000000', 'info@met.is', 'sala');
INSERT INTO `solumenn` VALUES ('2', 'Elín Baldursdóttir', 'elin', '2610653789', '6631773', 'elin@met.is', '2101');
INSERT INTO `solumenn` VALUES ('3', 'Margeir Reynisson', 'margeir', '0101675319', '6631771', 'margeir@met.is', '2101');
-- ----------------------------
-- Table structure for `vidskm`
-- ----------------------------
DROP TABLE IF EXISTS `vidskm`;
CREATE TABLE `vidskm` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`nr` varchar(14) NOT NULL,
`nafn` varchar(40) NOT NULL,
`heimili` varchar(30) NOT NULL,
`pnr` int(11) NOT NULL,
`stadur` varchar(45) NOT NULL,
`kt` varchar(12) NOT NULL,
`simi` varchar(8) NOT NULL,
`netfang` varchar(50) NOT NULL,
`deild` varchar(50) NOT NULL,
`stofn` date NOT NULL,
`virkur` char(1) NOT NULL DEFAULT 'V',
`msamn` char(1) NOT NULL DEFAULT 'N',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=48 DEFAULT CHARSET=latin1;
-- ----------------------------
-- Records of vidskm
-- ----------------------------
INSERT INTO `vidskm` VALUES ('1', '4204932589', 'MetNet ehf.', 'Skútahraun 2', '220', 'Hafnarfirði', '4204932589', '5171026', 'info@metnet.is', '0', '2010-02-23', 'V', 'N');
INSERT INTO `vidskm` VALUES ('2', '0101675319', 'Margeir Reynisson', 'Fjóluvellir 12', '221', 'Hafnarfirði', '0101675319', '5650026', 'margeir@met.is', '0', '2010-02-23', 'V', 'N');
INSERT INTO `vidskm` VALUES ('3', '0', 'STAÐGREIÐSLA', ' ', '0', ' ', '0', ' ', ' ', ' ', '2010-03-02', 'V', 'N');
-- ----------------------------
-- Table structure for `vorur`
-- ----------------------------
DROP TABLE IF EXISTS `vorur`;
CREATE TABLE `vorur` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`vitem` varchar(15) NOT NULL,
`vnafn` varchar(40) NOT NULL,
`verd` double(10,2) NOT NULL,
`vsk` double(10,2) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=23 DEFAULT CHARSET=latin1;
-- ----------------------------
-- Records of vorur
-- ----------------------------
INSERT INTO `vorur` VALUES ('1', '2', 'Álag helgidagar', '0.00', '2.55');
INSERT INTO `vorur` VALUES ('2', '100', 'Vinna tölvur', '8580.00', '2.55');
INSERT INTO `vorur` VALUES ('3', '101', 'Sérfræðiþjónusta', '10200.00', '2.55');
INSERT INTO `vorur` VALUES ('4', '102', 'Vinna v/breytinga á vef', '7200.00', '2.55');
INSERT INTO `vorur` VALUES ('5', '110', 'Vefhýsing tilboð', '3205.00', '2.55');
INSERT INTO `vorur` VALUES ('6', '111', 'Vefhýsing án DB', '1599.00', '0.00');
INSERT INTO `vorur` VALUES ('7', '112', 'Vefhýsing aukalén (aliase)', '1599.00', '0.00');
INSERT INTO `vorur` VALUES ('8', '113', 'Viðbótar gagnagrunnur', '1870.00', '0.00');
INSERT INTO `vorur` VALUES ('9', '114', 'DNS hýsing', '528.00', '0.00');
INSERT INTO `vorur` VALUES ('10', '115', 'Vefhýsing heildsala', '1760.00', '0.00');
INSERT INTO `vorur` VALUES ('11', '121', 'MetMynd vefhýsing', '8200.00', '0.00');
INSERT INTO `vorur` VALUES ('12', '130', 'Hýsing á netþjóni', '35800.00', '0.00');
INSERT INTO `vorur` VALUES ('13', '200', 'Akstur', '1700.00', '0.00');
INSERT INTO `vorur` VALUES ('14', '250', 'Vörur', '0.00', '0.00');
INSERT INTO `vorur` VALUES ('15', '251', 'CAT5 snúra með endum ', '783.00', '0.00');
INSERT INTO `vorur` VALUES ('16', '252', 'Endurnýjun lén ', '6587.00', '0.00');
INSERT INTO `vorur` VALUES ('17', '253', 'Nýtt lén', '10434.00', '0.00');
INSERT INTO `vorur` VALUES ('18', '254', 'Uppsetning V/Nýtt lén', '5221.00', '0.00');
INSERT INTO `vorur` VALUES ('19', '255', 'Ruslpóstsía fyrir notendur', '481.00', '0.00');
INSERT INTO `vorur` VALUES ('20', '30067', 'RISING Antívírus 1N2A', '7841.00', '0.00');
INSERT INTO `vorur` VALUES ('21', 'K100', 'Kennsla tölvur', '9700.00', '0.00');
INSERT INTO `vorur` VALUES ('22', 'SAMN1001', 'SAMNINGUR', '0.00', '0.00');
-- ----------------------------
-- Procedure structure for `add_emp`
-- ----------------------------
DROP PROCEDURE IF EXISTS `add_emp`;
DELIMITER ;;
CREATE DEFINER=`root`@`localhost` PROCEDURE `add_emp`(IN fname VARCHAR(20), IN lname VARCHAR(20), IN bday DATETIME, OUT empno INT)
BEGIN INSERT INTO emp(first_name, last_name, birthdate)
VALUES(fname, lname, DATE(bday));
SET empno = LAST_INSERT_ID(); END;;
DELIMITER ;
-- ----------------------------
-- Procedure structure for `hreyfingar`
-- ----------------------------
DROP PROCEDURE IF EXISTS `hreyfingar`;
DELIMITER ;;
CREATE DEFINER=`root`@`localhost` PROCEDURE `hreyfingar`(IN nr int)
SELECT id,reiknd,samtals,vsk,nafn FROM reikningar LEFT JOIN vidskm ON vidskm.nr = reikningar.vidskm_nr WHERE vidskm_nr = nr;;
DELIMITER ;
-- ----------------------------
-- Procedure structure for `hreyfingar_a`
-- ----------------------------
DROP PROCEDURE IF EXISTS `hreyfingar_a`;
DELIMITER ;;
CREATE DEFINER=`root`@`localhost` PROCEDURE `hreyfingar_a`()
SELECT reikningar.id,reiknd,samtals,vsk,nafn FROM reikningar LEFT JOIN vidskm ON vidskm.nr = reikningar.vidskm_nr;;
DELIMITER ;
-- ----------------------------
-- Procedure structure for `hreyfingar_dags`
-- ----------------------------
DROP PROCEDURE IF EXISTS `hreyfingar_dags`;
DELIMITER ;;
CREATE DEFINER=`root`@`localhost` PROCEDURE `hreyfingar_dags`(IN `dags1` date,IN `dags2` date)
SELECT reikningar.id,reiknd,samtals,vsk,nafn FROM reikningar LEFT JOIN vidskm ON vidskm.nr = reikningar.vidskm_nr WHERE reiknd >= dags1 AND reiknd <= dags2;;
DELIMITER ;
-- ----------------------------
-- Procedure structure for `medsamning`
-- ----------------------------
DROP PROCEDURE IF EXISTS `medsamning`;
DELIMITER ;;
CREATE DEFINER=`root`@`localhost` PROCEDURE `medsamning`()
SELECT nr,nafn FROM vidskm LEFT JOIN samningar ON vidskm.nr = samningar.vidskm_nr;;
DELIMITER ;
-- ----------------------------
-- Procedure structure for `nota`
-- ----------------------------
DROP PROCEDURE IF EXISTS `nota`;
DELIMITER ;;
CREATE DEFINER=`root`@`localhost` PROCEDURE `nota`()
select * from nota;;
DELIMITER ;
-- ----------------------------
-- Procedure structure for `nota2`
-- ----------------------------
DROP PROCEDURE IF EXISTS `nota2`;
DELIMITER ;;
CREATE DEFINER=`root`@`localhost` PROCEDURE `nota2`(IN spr INT)
READS SQL DATA
SELECT item, qty FROM item WHERE id_nota = spr;;
DELIMITER ;
-- ----------------------------
-- Procedure structure for `notvor`
-- ----------------------------
DROP PROCEDURE IF EXISTS `notvor`;
DELIMITER ;;
CREATE DEFINER=`root`@`localhost` PROCEDURE `notvor`(IN spr INT)
SELECT * FROM sam_item LEFT JOIN vorur ON vorur.vitem = sam_item.item WHERE id_reikn = spr;;
DELIMITER ;
| true |
c4d7ea04e7311da9f4a6de269ba2f749f418537d | SQL | tombeton1/shopping | /shoppingDB/storedprocedures/user_delete_friend_request.sql | UTF-8 | 379 | 3.453125 | 3 | [] | no_license | USE shopping_db;
DROP PROCEDURE IF EXISTS user_delete_friend;
DELIMITER //
CREATE PROCEDURE `user_delete_friend`
(
IN pUserId INT ,
IN pFriendId INT
)
BEGIN
DELETE FROM `friends`
WHERE (`friends`.`user_id_inviter` = pUserId OR `friends`. `user_id_invitee` = pUserId) AND (`friends`.`user_id_invitee` = pFriendId OR `friends`.`user_id_inviter` = pFriendId);
END //
DELIMITER ; | true |
524a173177f0f320790eaf530cda8dfd868399f9 | SQL | bellmit/flexdb | /2.HOST/3.Procedure/cf0080.sql | UTF-8 | 4,679 | 3.5 | 4 | [] | no_license | CREATE OR REPLACE PROCEDURE cf0080 (
PV_REFCURSOR IN OUT PKG_REPORT.REF_CURSOR,
OPT IN VARCHAR2,
BRID IN VARCHAR2,
PV_CUSTODYCD IN VARCHAR2,
CI0088KEY IN VARCHAR2
)
IS
V_BRID VARCHAR2(4);
V_STROPTION VARCHAR2 (5); -- A: ALL; B: BRANCH; S: SUB-BRANCH
V_STRBRID VARCHAR2 (40); -- USED WHEN V_NUMOPTION > 0
V_INBRID VARCHAR2 (5);
V_IDATE DATE;
V_CUSTODYCD varchar2(10);
v_COUNT number;
BEGIN
V_STROPTION := upper(OPT);
V_INBRID := BRID;
v_COUNT :=0;
if(V_STROPTION = 'A') then
V_STRBRID := '%';
else
if(V_STROPTION = 'B') then
select br.mapid into V_STRBRID from brgrp br where br.brid = V_INBRID;
else
V_STRBRID := BRID;
end if;
end if;
V_CUSTODYCD := upper(PV_CUSTODYCD);
/*
SELECT nvl(max(txdate),to_date('11/11/2222','DD/MM/RRRR')) INTO V_IDATE
FROM vw_tllog_all lg, afmast af, cfmast cf
WHERE af.custid = cf.custid AND lg.msgacct = af.acctno AND lg.tltxcd = '0088'
AND cf.custodycd = V_CUSTODYCD;
OPEN PV_REFCURSOR FOR
SELECT BRID,BRNAME, V_IDATE TXDATE ,main.fullname, main.idcode, main.iddate, main.idplace, main.address, main.phone, main.mobile,
main.custodycd, main.wft_symbol symbol, tradeplace,
sum(CASE WHEN instr(symbol,'_WFT') = 0 THEN trade + receiving ELSE 0 END) trade,
sum(CASE WHEN instr(symbol,'_WFT') = 0 THEN blocked ELSE 0 END) blocked,
sum(CASE WHEN instr(symbol,'_WFT') <> 0 THEN trade ELSE 0 END) trade_WFT,
sum(CASE WHEN instr(symbol,'_WFT') <> 0 THEN blocked ELSE 0 END) blocked_WFT
FROM (
SELECT BR.BRID, BRNAME,cf.fullname, DECODE(SUBSTR(CF.CUSTODYCD,4,1),'F',CF.TRADINGCODE,CF.IDCODE) idcode,
DECODE(SUBSTR(CF.CUSTODYCD,4,1),'F',CF.TRADINGCODEDT,CF.IDDATE) iddate,
cf.idplace, cf.address, CF.phone, cf.mobile,cf.custodycd,
nvl(sb.symbol,'') symbol, nvl(sb_wft.symbol,'') wft_symbol,
nvl(sb_wft.sectype,'') sectype, nvl(sb_wft.issuerid,'') issuerid ,
--nvl(sb_wft.tradeplace,'') tradeplace,
nvl(se.trade,0) - sum(CASE WHEN tran.field = 'TRADE' AND tran.txcd = 'D' THEN - nvl(tran.namt,0)
WHEN tran.field = 'TRADE' AND tran.txcd = 'C' THEN nvl(tran.namt,0)
ELSE 0 END) trade,
nvl(se.blocked,0) - sum(CASE WHEN tran.field = 'BLOCKED' AND tran.txcd = 'D' THEN - nvl(tran.namt,0)
WHEN tran.field = 'BLOCKED' AND tran.txcd = 'C' THEN nvl(tran.namt,0)
ELSE 0 END) blocked,
SE.receiving,
CASE WHEN sb.markettype = '001' AND sb.sectype IN ('003','006','222','333','444') THEN 'TT Tr?phi?u chuy?bi?t'
WHEN nvl(sb_wft.tradeplace,'') = '001' THEN 'HOSE'
WHEN nvl(sb_wft.tradeplace,'') = '002' THEN 'HNX'
WHEN nvl(sb_wft.tradeplace,'') = '005' THEN 'UPCOM' END tradeplace
FROM ( SELECT cf.custodycd
FROM vw_tllog_all lg, afmast af, cfmast cf
WHERE af.custid = cf.custid AND lg.msgacct = af.acctno
AND lg.tltxcd = '0088'
group by cf.custodycd) tl,BRGRP BR,
cfmast cf, afmast af,semast se,
(SELECT * FROM vw_setran_gen WHERE txdate > V_IDATE and field in ('TRADE','BLOCKED')) tran, sbsecurities sb,
sbsecurities sb_wft
WHERE
tl.custodycd = cf.custodycd
and cf.custodycd = V_CUSTODYCD
AND af.custid = cf.custid
and sb.sectype not in ('111','222','333','444','004')
AND BR.BRID = SUBSTR(CF.CUSTID,1,4)
AND af.acctno = se.afacctno (+)
and se.acctno = tran.acctno (+)
AND se.codeid = sb.codeid (+)
AND nvl(sb.refcodeid, sb.codeid) = sb_wft.codeid (+)
--AND (substr(cf.custid,1,4) LIKE '%%' OR instr('%%',substr(cf.custid,1,4))<> 0)
GROUP BY BR.BRID,BRNAME,sb.markettype,sb.sectype,cf.fullname, cf.idcode, cf.iddate, cf.idplace, cf.address, cf.phone, cf.mobile,
cf.custodycd, se.trade, se.blocked,SE.receiving, sb.symbol, sb_wft.symbol,
sb_wft.sectype, sb_wft.issuerid,sb_wft.tradeplace,cf.TRADINGCODEDT,CF.TRADINGCODE--, tran.field
) main
GROUP BY BRID,BRNAME,main.fullname, main.idcode, main.iddate, main.idplace, main.address,
main.phone, main.mobile,main.custodycd, main.wft_symbol, main.tradeplace;
*/
OPEN PV_REFCURSOR FOR
SELECT l.*, nvl(dm.fullname,' ') receiver_name FROM CF0080_LOG l, deposit_member dm
WHERE l.CUSTODYCD like V_CUSTODYCD AND TO_CHAR(l.TXDATE,'DD/MM/RRRR')||l.TXNUM = CI0088KEY
and l.INWARD = dm.depositid (+)
ORDER BY l.SYMBOL;
EXCEPTION
WHEN OTHERS
THEN
RETURN;
END;
/
| true |
a1e51a82792ec4b0f8a3e339d41215a819543656 | SQL | DanielaPaiva/MySQL | /Exercicios/Exercicio_Rh2.sql | UTF-8 | 2,300 | 4.03125 | 4 | [] | no_license | create database rh2;
use rh2;
create table cargo(
id bigint auto_increment,
HoraExtra boolean,
Lider varchar (35),
Terceirizado varchar(3),
primary key(id)
);
insert into cargo (HoraExtra, Lider, Terceirizado)
values
(1,"Tatiana","sim"),
(0,"João","sim"),
(1,"Manoel","não"),
(0,"Vanessa","não"),
(0,"Carol","sim");
/*Tabela 2*/
use rh2;
create table funcionarios(
id bigint (5) auto_increment,
Nome varchar (30) not null,
Setor varchar(15),
Telefone varchar(9),
Email varchar(35),
Localização varchar (35),
Salario decimal(8),
cargo_id bigint not null,
primary key(id),
foreign key(cargo_id) references cargo(idfuncionarios)
);
/*Inserir dados da tabela 2 */
insert into funcionarios
(Nome, Setor, Telefone, Email,Localização, Salario, cargo_id)
values
("Luiza","Administrativo","1515-2160", "luiza45@gmail.com", "São Paulo","3550.00",1),
("Cristhian","Atendimento","4521-0012", "cris@outlook.com", "Curitiba","1250.00",2),
("Lucas","Marketing","7852-0120", "lucasouz@hotmail.com", "Curitiba","4100.00",3),
("Mayara","Administrativo","3256-0125", "may.guedes@gmail.com", "Curitiba","3550.00",1),
("Bruno","Comercial","4521-7854", "brunols@outlook.com", "São Paulo","5000.00",4),
("Leandro","TI","4002-8922", "leo@hotmail.com", "Rio de janeiro","5590.00",5),
("Camila","Administrativo","4863-2160", "camilaoli@gmail.com", "São Paulo","3550.00",1),
("Isabel","RH","1450-9038", "isa@outlook.com", "São Paulo","5000.00",1),
("Geraldo","Atendimento","4652-0180", "gerald@hotmail.com", "São Paulo","1250.00",2),
("Maria","Administrativo","3256-0125", "may.guedes@gmail.com", "Curitiba","3550.00",1),
("Thiago","Comercial","4521-7854", "brunols@outlook.com", "Rio de janeiro","5000.00",4),
("Soraia","Marketing","4002-8922", "leo@hotmail.com", "Rio de janeiro","4100.00",3),
("Marcela","TI","4863-2160", "camilaoli@gmail.com", "São Paulo","5590.00",5),
("Francine","RH","1450-9038", "isa@outlook.com", "São Paulo","5000.00",1),
("Mauro","Atendimento","4652-0180", "gerald@hotmail.com", "São Paulo","1250.00",2);
select * from funcionarios where salario>2000;
select * from funcionarios where salario between 1000 and 2000;
select * from funcionarios where Nome like "C%";
select * from funcionarios
inner join cargo on cargo.id= funcionarios.cargo_id;
select funcionarios.nome, funcionarios.setor, cargo.lider, cargo.Terceirizado from funcionarios
inner join cargo on cargo.id= funcionarios.cargo_id where funcionarios.setor like "adm%";
| true |
48234ecdc90e2f4c01bbcacb2f0e0ff70201b368 | SQL | fac2020/msqlbd | /function/GET_HTMLLINK4EVENTSUBJ.sql | UTF-8 | 556 | 3.453125 | 3 | [] | no_license | DELIMITER $$
CREATE DEFINER=`stastrjn_nrn`@`localhost` FUNCTION `GET_HTMLLINK4EVENTSUBJ`(`INEVENTUID` VARCHAR(36)) RETURNS varchar(255) CHARSET utf8
BEGIN
DECLARE sResult varchar(255);
DECLARE iSubject int;
DECLARE sTablename varchar(256);
-- Получаем данные из события
SELECT we.IDSUBJECT, se.TABNAME INTO iSubject,sTablename FROM WRK_EVENTS we inner join SP_EVENTS se on (se.UID=we.IDEVENT) where we.UID=INEVENTUID;
set sResult = GET_HTMLLINKBYOBJANDTABLE(iSubject,sTablename);
RETURN sResult;
END$$
DELIMITER ; | true |
b5b6cb4ec149df890432f02b33bb81771703d7d3 | SQL | ilkerBuguner/CSharp-DB | /01-MS SQL/12-Exam/10-Full Info.sql | UTF-8 | 732 | 3.96875 | 4 | [] | no_license | SELECT ISNULL(e.FirstName + ' ' + e.LastName, 'None') AS [Employee],
ISNULL(d.Name, 'None') AS [Department],
ISNULL(c.Name, 'None') AS [Category],
ISNULL(r.Description, 'None') AS [Description],
ISNULL(FORMAT(r.OpenDate, 'dd.MM.yyyy'), 'None') AS [OpenDate],
ISNULL(s.Label, 'None') AS [Status],
ISNULL(u.Name, 'None') AS [User]
FROM Reports AS r
LEFT JOIN Employees AS e ON r.EmployeeId = e.Id
LEFT JOIN Departments AS d ON e.DepartmentId = d.Id
LEFT JOIN Categories AS c ON r.CategoryId = c.Id
LEFT JOIN Status AS s ON r.StatusId = s.Id
LEFT JOIN Users AS u ON r.UserId = u.Id
ORDER BY e.FirstName DESC,
e.LastName DESC,
Department,
Category,
Description,
OpenDate,
Status,
User | true |
2463cf1b6b9bbc38eddf4bdfbb0505682ebf977a | SQL | Syemon/Pergamon | /src/main/resources/migration/V1__init.sql | UTF-8 | 474 | 3.46875 | 3 | [] | no_license | CREATE TABLE file
(
id SERIAL PRIMARY KEY,
name text,
storage_name text,
created_at timestamp without time zone NOT NULL,
updated_at timestamp without time zone
);
CREATE TABLE resource
(
id SERIAL PRIMARY KEY,
file_id int,
name text,
storage_name text,
created_at timestamp without time zone NOT NULL,
updated_at timestamp without time zone,
CONSTRAINT fk_file
FOREIGN KEY(file_id)
REFERENCES file(id)
)
| true |
1a756d3a0ac25491ff69ccf992f9d44797832965 | SQL | RiniAntony90/MySQLQueries | /SQL_queries_Employee_Database/Sum_salary_department.sql | UTF-8 | 397 | 4.4375 | 4 | [] | no_license | /*Sum of salary across departments for year 2010*/
select a.dept_no, a.sum_sal, rank()over(order by a.sum_sal desc) as rank_sal from (select de.dept_no, sum(s.salary) as sum_sal
from salaries s JOIN dept_emp de ON
s.emp_no=de.emp_no
where YEAR(s.from_date) <2010 AND 2010<YEAR(s.to_date) AND YEAR(de.from_date) <2010 AND 2010<YEAR(de.to_date)
GROUP BY de.dept_no
ORDER BY sum(s.salary) DESC) a; | true |
d1d4973f63f51ba831f7a7d3a265cd70b4dad6a3 | SQL | zekodef/sf-cnr | /gamemodes/irresistible/config/migrations/cod8/20170106_cod8_base.sql | UTF-8 | 3,141 | 3.109375 | 3 | [
"MIT"
] | permissive | -- --------------------------------------------------------
-- Host: localhost
-- Server version: 5.7.19 - MySQL Community Server (GPL)
-- Server OS: Win64
-- HeidiSQL Version: 9.4.0.5125
-- --------------------------------------------------------
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET NAMES utf8 */;
/*!50503 SET NAMES utf8mb4 */;
/*!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 */;
/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */;
-- Dumping structure for table sa-mp.cod
CREATE TABLE IF NOT EXISTS `cod` (
`ID` int(11) NOT NULL AUTO_INCREMENT,
`NAME` varchar(24) NOT NULL,
`PASSWORD` varchar(130) NOT NULL,
`SALT` varchar(16) NOT NULL,
`SCORE` int(10) NOT NULL DEFAULT '0',
`KILLS` int(10) NOT NULL DEFAULT '1',
`DEATHS` int(10) NOT NULL DEFAULT '1',
`ADMIN` int(2) NOT NULL DEFAULT '0',
`XP` int(10) NOT NULL DEFAULT '0',
`RANK` int(2) NOT NULL DEFAULT '0',
`PRESTIGE` int(4) NOT NULL DEFAULT '0',
`PRIMARY1` int(3) NOT NULL,
`PRIMARY2` int(3) NOT NULL,
`PRIMARY3` int(3) NOT NULL,
`SECONDARY1` int(3) NOT NULL,
`SECONDARY2` int(3) NOT NULL,
`SECONDARY3` int(3) NOT NULL,
`PERK_ONE1` int(2) DEFAULT '0',
`PERK_ONE2` int(2) DEFAULT '0',
`PERK_ONE3` int(2) DEFAULT '0',
`PERK_TWO1` int(2) DEFAULT '0',
`PERK_TWO2` int(2) DEFAULT '0',
`PERK_TWO3` int(2) DEFAULT '0',
`SPECIAL1` int(2) NOT NULL DEFAULT '0',
`SPECIAL2` int(2) DEFAULT '0',
`SPECIAL3` int(2) DEFAULT '0',
`KILLSTREAK1` int(3) NOT NULL,
`KILLSTREAK2` int(3) NOT NULL,
`KILLSTREAK3` int(3) NOT NULL,
`MUTE_TIME` int(11) DEFAULT '0',
`CLASSNAME1` varchar(24) NOT NULL DEFAULT 'Custom Class 1',
`CLASSNAME2` varchar(24) NOT NULL DEFAULT 'Custom Class 2',
`CLASSNAME3` varchar(24) NOT NULL DEFAULT 'Custom Class 3',
`HITMARKER` tinyint(1) NOT NULL DEFAULT '0',
`HIT_SOUND` int(5) NOT NULL DEFAULT '0',
`UPTIME` int(11) DEFAULT '0',
`LAST_LOGGED` int(11) DEFAULT NULL,
`CASH` int(11) NOT NULL DEFAULT '0',
`WINS` int(6) NOT NULL DEFAULT '0',
`LOSES` int(6) NOT NULL DEFAULT '0',
`ZM_RANK` tinyint(2) NOT NULL DEFAULT '0',
`ZM_XP` int(11) NOT NULL DEFAULT '0',
`ZM_KILLS` int(6) NOT NULL DEFAULT '1',
`ZM_DEATHS` int(6) NOT NULL DEFAULT '1',
`VIP` tinyint(1) DEFAULT '0',
`VIP_EXPIRE` int(11) DEFAULT '0',
`DOUBLE_XP` int(11) DEFAULT '0',
`LIVES` tinyint(2) DEFAULT '0',
`MEDKITS` tinyint(2) DEFAULT '0',
`WEAPONS` varchar(11) DEFAULT '0|0',
`SKIN` smallint(3) DEFAULT '0',
`ZM_PRESTIGE` smallint(3) DEFAULT '0',
`ZM_SKIN` smallint(3) DEFAULT '-1',
PRIMARY KEY (`ID`),
UNIQUE KEY `NAME` (`NAME`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- Dumping data for table sa-mp.cod: ~0 rows (approximately)
/*!40000 ALTER TABLE `cod` DISABLE KEYS */;
/*!40000 ALTER TABLE `cod` ENABLE KEYS */;
/*!40101 SET SQL_MODE=IFNULL(@OLD_SQL_MODE, '') */;
/*!40014 SET FOREIGN_KEY_CHECKS=IF(@OLD_FOREIGN_KEY_CHECKS IS NULL, 1, @OLD_FOREIGN_KEY_CHECKS) */;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
| true |
bfeb747bcf09675f3d796261e2478561b65b837e | SQL | bernatsc/AgeRoyale | /Server/resources/Creacio_bbdd.sql | UTF-8 | 10,159 | 3.859375 | 4 | [] | no_license | #CREACIO DE LA BASE DE DADES
#SET GLOBAL sql_mode=(SELECT REPLACE(@@sql_mode,'ONLY_FULL_GROUP_BY',''));
USE AgeRoyale;
#DESTRUCCIO DE LES TAULES
DROP TABLE IF EXISTS partida CASCADE;
DROP TABLE IF EXISTS usuaritropa CASCADE;
DROP TABLE IF EXISTS tropa CASCADE;
DROP TABLE IF EXISTS amic CASCADE;
DROP TABLE IF EXISTS usuari CASCADE;
DROP TABLE IF EXISTS stats CASCADE;
DROP TABLE IF EXISTS requests CASCADE;
#CREACIO DE LES TAULES
CREATE TABLE stats(
idStat int not null auto_increment,
totalPartides int,
totalVictories int,
winrate float,
avgDurationVictories float,
PRIMARY KEY (idStat)
);
CREATE TABLE usuari(
idUser int not null auto_increment,
nickname VARCHAR(255),
email VARCHAR(255),
password VARCHAR(255),
idStats int,
isOnline boolean,
banned boolean,
banDate VARCHAR(255),
PRIMARY KEY (idUser),
FOREIGN KEY (idStats) REFERENCES stats (idStat)
);
CREATE TABLE requests(
destinationId int not null,
originId int not null,
accepted boolean,
PRIMARY KEY (destinationId, originId),
FOREIGN KEY (destinationId) REFERENCES usuari(idUser),
FOREIGN KEY (originId) REFERENCES usuari(idUser)
);
CREATE TABLE amic(
id_u1 int not null,
id_u2 int not null,
PRIMARY KEY (id_u1, id_u2),
FOREIGN KEY (id_u1) REFERENCES usuari(idUser),
FOREIGN KEY (id_u2) REFERENCES usuari(idUser)
);
CREATE TABLE tropa(
idTropa int not null auto_increment,
atac int,
vida int,
cost int,
tipus boolean,
PRIMARY KEY (idTropa)
);
CREATE TABLE usuaritropa(
idUser int not null,
idTropa int not null,
FOREIGN KEY (idUser) REFERENCES usuari(idUser),
FOREIGN KEY (idTropa)REFERENCES tropa(idTropa)
);
CREATE TABLE partida(
idPartida int not null auto_increment,
duration int,
publica boolean,
name varchar(255),
host varchar(255),
date varchar(255),
finished boolean,
player1 int,
player2 int,
PRIMARY KEY (idPartida),
FOREIGN KEY (player1) REFERENCES usuari(idUser),
FOREIGN KEY (player2) REFERENCES usuari(idUser)
);
SELECT* FROM usuari;
#Importacio basica de informació
INSERT INTO stats(TOTALPARTIDES, TOTALVICTORIES, WINRATE, AVGDURATIONVICTORIES) VALUES
(10, 4, 30.2, 200), (15, 10, 70, 150), (28, 35, 65, 200), (25, 10, 40, 100), (248, 234, 21, 10), (15, 10, 70, 150), (28, 35, 65, 200), (25, 10, 40, 100), (248, 234, 21, 10), (15, 10, 70, 150), (28, 35, 65, 200), (25, 10, 40, 100), (248, 234, 21, 10);
#SELECT if(COUNT(*) > 0, req.originId, -1) as exist FROM AgeRoyale.requests AS req WHERE destinationId = 1;
#SELECT req.originId FROM AgeRoyale.requests AS req WHERE destinationId = 1;
INSERT INTO usuari (nickname, email, password, idStats, isOnline, banned) values
('Victor', 'victor.xirau@students.salle.url.edu', '1234', 1, false, false),
('Lidia', 'lidia.figueras@students.salle.url.edu', '1234', 2, false, false),
('Adria', 'adria.pajares@students.salle.url.edu', '1234', 3, false, false),
('Marthin', 'marti.ejarque@students.salle.url.edu', '1234', 4, false, false),
('Jorge', 'bernat.segura@students.salle.url.edu', '1234', 5, false, false),
('Robert', 'lidia.figueras@students.salle.url.edu', '1234', 6, false, false),
('Pilotes', 'adria.pajares@students.salle.url.edu', '1234', 7, false, false),
('ViejoLesbiano', 'marti.ejarque@students.salle.url.edu', '1234', 8, false, false),
('LaSal', 'bernat.segura@students.salle.url.edu', '1234', 9, false, false),
('NoMames', 'lidia.figueras@students.salle.url.edu', '1234', 10, false, false),
('PapiChulo', 'adria.pajares@students.salle.url.edu', '1234', 11, false, false),
('Adriaannn', 'marti.ejarque@students.salle.url.edu', '1234', 12, false, false),
('Coli', 'bernat.segura@students.salle.url.edu', '1234', 13, false, false);
INSERT INTO requests(originId, destinationId) VALUES (1, 4), (1, 3), (2, 1), (2, 5), (2, 4);
INSERT INTO partida (duration, publica, name, host, date, finished, player1, player2) VALUES
(200, true, 'Prova1', 'admin', '20-05-2020', false, 1, 2),
(150, true, 'Prova2', 'admin', '19-05-2020', false, 3, 4),
(478, false, 'Prova3', 'admin', '18-05-2020', true, 5, 1),
(150, true, 'Prova4', 'admin', '19-05-2020', false, 3, 4),
(478, false, 'Prova5', 'admin', '18-05-2020', false, 5, 1),
(150, true, 'Prova6', 'admin', '19-05-2020', true, 3, 4),
(478, false, 'Prova7', 'admin', '18-05-2020', false, 5, 1),
(150, true, 'Prova8', 'admin', '19-05-2020', true, 3, 4),
(478, false, 'Prova9', 'admin', '18-05-2020', false, 5, 1);
INSERT INTO amic (id_u1, id_u2) VALUES
(1, 2), (2, 3), (3, 4), (4, 5), (5, 1);
INSERT INTO tropa (ATAC, VIDA, COST, TIPUS) values
(30, 100, 200, true), (10, 300, 100, false), (50, 50, 100, true), (40, 70, 50, true), (10, 150, 2, false);
INSERT INTO usuaritropa (idUser, idTropa) VALUES
(1, 1), (1, 2),
(2, 2), (2, 3),
(3, 3), (3, 4),
(4, 4), (4, 5),
(5, 5), (5, 1);
SELECT * FROM partida;
SELECT u.* FROM usuari as u, stats as s WHERE s.idStat = u.idStats ORDER BY s.totalVictories DESC LIMIT 10;
SELECT * FROM stats as s ORDER BY totalVictories DESC LIMIT 10;
########################################### AMIC ###############################################################################################
#get Amics
SELECT us.* FROM usuari as us, amic as am WHERE (us.idUser = am.id_u1 and 1 = am.id_u2) OR (us.idUser = am.id_u2 and 1 = am.id_u1);
#set Amic
INSERT INTO amic (id_u1, id_u2) VALUE (1, 4);
#delete amic
DELETE FROM AgeRoyale.amic WHERE ( 1 = id_u1 and 4 = id_u2) OR (4 = id_u1 and 1 = id_u2);
########################################### STATS ###############################################################################################
#get Stats from id user
SELECT st.* FROM stats as st, usuari as us WHERE us.idUser = 1 and us.idStats = st.idStat;
#get Stats from id stat
SELECT st.* FROM stats AS st where idStat = 1;
#add Stat
INSERT INTO AgeRoyale.stats (idStat, totalPartides, totalVictories, winrate, avgDurationVictories) VALUE (6, 1, 1, 1, 1);
#update stat
UPDATE AgeRoyale.stats SET AgeRoyale.stats.totalPartides = 31, AgeRoyale.stats.totalVictories = 101, AgeRoyale.stats.winrate = 201, AgeRoyale.stats.avgDurationVictories = 29 WHERE AgeRoyale.stats.idStat = 1;
#get max pk value from stats
SELECT st.idStat FROM AgeRoyale.stats as st ORDER BY st.idStat DESC LIMIT 1;
#remove stats
DELETE FROM AgeRoyale.stats WHERE idStat = 6;
#DELETE FROM AgeRoyale.stats where AgeRoyale.usuari.idUser = 1 AND AgeRoyale.usuari.idStats = AgeRoyale.stats.idStat;
#reset stats
UPDATE AgeRoyale.stats SET AgeRoyale.stats.totalPartides = 0, AgeRoyale.stats.totalVictories = 0, AgeRoyale.stats.winrate = 0, AgeRoyale.stats.avgDurationVictories = 0 WHERE AgeRoyale.stats.idStat = 6;
UPDATE AgeRoyale.requests SET AgeRoyale.requests.accepted = 0 WHERE AgeRoyale.requests.destinationId = 1 AND AgeRoyale.requests.originId = 2;
SELECT if(COUNT(*) > 0, req.originId, -1) as exist FROM AgeRoyale.requests AS req WHERE destinationId = 1;
SELECT req.originId FROM AgeRoyale.requests AS req WHERE destinationId = 1;
SELECT * FROM requests;
########################################### TORPES ###############################################################################################
#get tropes from user id
SELECT tr.* FROM AgeRoyale.tropa as tr, AgeRoyale.usuaritropa as ustr WHERE ustr.idUser = 1 and ustr.idTropa = tr.idTropa;
#get all tropes
SELECT tropa.* FROM AgeRoyale.tropa;
#update Tropa
UPDATE AgeRoyale.tropa SET AgeRoyale.tropa.atac = 31, AgeRoyale.tropa.vida = 101, AgeRoyale.tropa.cost = 201, AgeRoyale.tropa.tipus = false WHERE AgeRoyale.tropa.idTropa = 1;
#add tropa
INSERT INTO AgeRoyale.tropa (atac, vida, cost, tipus) VALUE (1, 1, 1, 1);
#remove
#DELETE FROM AgeRoyale.tropa WHERE idTropa = 1;
########################################### USUARI ###############################################################################################
#get all users
SELECT us.* FROM AgeRoyale.usuari as us;
#get user from id
SELECT us.* FROM AgeRoyale.usuari as us WHERE idUser = 1;
#add user
INSERT INTO AgeRoyale.usuari (nickname, email, password, idStats) VALUE (1, 1, 1, 1);
#update
UPDATE AgeRoyale.usuari SET nickname = '' and email ='' and password = '' and idStats = 0 WHERE idUser = 1;
#next pk
SELECT us.idUser FROM AgeRoyale.usuari as us ORDER BY us.idUser DESC LIMIT 1;
#remove
DELETE FROM AgeRoyale.usuari WHERE idUser = 1;
#exists login
SELECT if(COUNT(*) = 1, us.idUser, -1) as exist FROM AgeRoyale.usuari AS us WHERE us.nickname = 'VXGamez' AND us.password = 'contrasenya';
#exist registre
SELECT if(COUNT(*) = 1, 1, -1) as exist FROM AgeRoyale.usuari AS us WHERE us.nickname = 'VGamez' OR us.email = 'victor.xirau@students.salle.url.edu';
#exits al canvi de nom / email
SELECT if(COUNT(*) > 1, 1, -1) as exist FROM AgeRoyale.usuari AS us WHERE us.nickname = 'bernat' OR us.email = 'victor.xirau@students.salle.url.edu';
SELECT us.* FROM AgeRoyale.usuari AS us WHERE us.nickname = 'bernat' OR us.email = 'victor.xirau@students.salle.url.edu';
#update nickname-email
UPDATE AgeRoyale.usuari SET nickname = 'pepito', email = 'bernat.segura@students.salle.url.' WHERE idUser = 5;
#login / logout
UPDATE AgeRoyale.usuari SET isOnline = true WHERE idUser = 5;
########################################### PARTIDA ###############################################################################################
#get partida from id
SELECT par.* FROM AgeRoyale.partida AS par WHERE idPartida = 1;
#get partida from user
SELECT par.* FROM AgeRoyale.partida AS par WHERE player1 = 1 OR player2 = 1;
#get all partides
SELECT par.* FROM AgeRoyale.partida AS par;
#add partida
INSERT INTO AgeRoyale.partida (idPartida, duration, date, player1, player2) VALUE ();
#delete partida
DELETE FROM AgeRoyale.partida WHERE idPartida = 1;
#delete partida on user remove
DELETE FROM AgeRoyale.partida WHERE player1 = 1 OR player2 = 1;
#gestio de pk
SELECT par.idPartida FROM AgeRoyale.partida as par ORDER BY par.idPartida DESC LIMIT 1;
########################################### USUARI - TROPA #############################################################################################
#on remove tropa
DELETE FROM AgeRoyale.usuaritropa WHERE idTropa = 1;
#on remove usuari
DELETE FROM AgeRoyale.usuaritropa WHERE idUser = 1;
#add tropa to user
INSERT INTO AgeRoyale.usuaritropa (idUser, idTropa) VALUES (1, 1);
| true |
5c05117897db6c49424b81cbfc80045c07e16795 | SQL | Oliver3214/corespring | /spring-Forum/db/db_spring_forum.sql | UTF-8 | 2,017 | 3.734375 | 4 | [] | no_license | CREATE TABLE `usuario` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`email` varchar(128) NOT NULL,
`fecha_publicacion` datetime NOT NULL,
`hash_password` varchar(128) NOT NULL,
`login` varchar(32) NOT NULL,
`nombre` varchar(128) NOT NULL,
`twitter` varchar(64) DEFAULT NULL,
`ultimo_login` datetime DEFAULT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `id` (`id`),
UNIQUE KEY `email` (`email`),
UNIQUE KEY `login` (`login`),
UNIQUE KEY `twitter` (`twitter`)
) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=latin1;
CREATE TABLE `tema` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`nombre` varchar(128) DEFAULT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `id` (`id`),
UNIQUE KEY `nombre` (`nombre`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
CREATE TABLE `permiso_usuario` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`role` varchar(64) NOT NULL,
`usuario_id` bigint(20) NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `id` (`id`),
KEY `FK86973484F9C1E71F` (`usuario_id`),
CONSTRAINT `FK86973484F9C1E71F` FOREIGN KEY (`usuario_id`) REFERENCES `usuario` (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
CREATE TABLE `topico` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`fecha_publicacion` datetime NOT NULL,
`titulo` varchar(128) NOT NULL,
`autor_id` bigint(20) NOT NULL,
`tema_id` bigint(20) NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `id` (`id`),
KEY `FKCC42D9205826AD95` (`tema_id`),
KEY `FKCC42D920C198118A` (`autor_id`),
CONSTRAINT `FKCC42D9205826AD95` FOREIGN KEY (`tema_id`) REFERENCES `tema` (`id`),
CONSTRAINT `FKCC42D920C198118A` FOREIGN KEY (`autor_id`) REFERENCES `usuario` (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
INSERT INTO `usuario` (`id`, `email`, `fecha_publicacion`, `hash_password`, `login`, `nombre`, `twitter`, `ultimo_login`)
VALUES
(1, 'jamdiazdiaz@gmail.com', '2013-05-23 20:09:31', '6ec74178d214d9cf7826704e42f9312cda56eb5f8e0af98df0e94f92bd466dab', 'jamdiazdiaz', 'Jose Diaz', NULL, NULL);
INSERT INTO `permiso_usuario` (`id`, `role`, `usuario_id`)
VALUES
(1, 'ROLE_ADMIN', 1),
(2, 'ROLE_MEMBER', 1);
| true |
3e9711c179b147c159e502dd49fec2ad2bb93c89 | SQL | weizhi-luo/stocks | /database/Metis/017_insert_data_NasdaqFinancialStatus_table.sql | UTF-8 | 573 | 2.890625 | 3 | [
"MIT"
] | permissive | INSERT INTO dbo.NasdaqFinancialStatus
([Status], [Value])
SELECT 'D','Deficient: Issuer Failed to Meet NASDAQ Continued Listing Requirements'
UNION ALL
SELECT 'E','Delinquent: Issuer Missed Regulatory Filing Deadline'
UNION ALL
SELECT 'Q','Bankrupt: Issuer Has Filed for Bankruptcy'
UNION ALL
SELECT 'N','Normal (Default): Issuer Is NOT Deficient, Delinquent, or Bankrupt.'
UNION ALL
SELECT 'G','Deficient and Bankrupt'
UNION ALL
SELECT 'H','Deficient and Delinquent'
UNION ALL
SELECT 'J','Delinquent and Bankrupt'
UNION ALL
SELECT 'K','Deficient, Delinquent, and Bankrupt' | true |
fff751b276ce6f270b522383c602a3077dab6b97 | SQL | sp98/Prgramming | /Database Tutorials/Practise2.sql | UTF-8 | 1,733 | 4.53125 | 5 | [] | no_license | # Understanding the tables:
SELECT * FROM customers;
SELECT * FROM employees;
SELECT * FROM offices;
SELECT * FROM orderdetails;
SELECT * FROM orders;
SELECt * FROM payments;
SELECT * FROM productlines;
SELECT * FROM products;
# Get Total Products Types in Each Product Line
SELECT productLine, COUNT(productName) FROM products GROUP BY productline;
# Get Total Product Counts in Each Product Line
SELECT productLine, COUNT(productName), SUM(quantityInStock) FROM products GROUP BY productline;
# Get total Customer Count:
SELECT COUNT(DISTINCT(customerName)) FROM customers;
# Concatenating Strings
SELECT CONCAT(contactFirstName, ' ', contactLastName) AS Contact FROM customers;
# Get employee details along with office address.
SELECT CONCAT(emp.firstName, ' ', emp.lastName)
as 'Employee Name' , emp.email, emp.jobTitle, off.city, off.state,off.country
FROM employees AS emp
INNER JOIN offices AS off
ON emp.officeCode = off.officeCode;
#Get All the customers whose order has been shipped:
SELECT customers.customerNumber, customers.customerName, orders.status FROM customers
INNER JOIN orders
ON customers.customerNumber = orders.customerNumber
WHERE orders.status = 'Shipped';
#Get the customername who has mosted shipped products:
SELECT cust.customerName, o.status, COUNT(o.customerNumber) FROM customers AS cust
INNER JOIN orders AS o
ON cust.customerNumber = o.customerNumber
GROUP BY o.customerNumber HAVING o.status = 'Shipped'
ORDER BY COUNT(o.customerNumber) DESC;
# Customer who has paid most
SELECT pay.customerNumber, cust.customerName, SUM(pay.amount)
FROM payments as pay
INNER JOIN customers as cust
ON pay.customerNumber = cust.customerNumber
GROUP BY pay.customerNumber
ORDER BY SUM(pay.amount) DESC | true |
4f0f78878a54f9996152b7af850dac22aeff414e | SQL | murphm8/convo_specification | /schema/schema.sql | UTF-8 | 3,645 | 3.578125 | 4 | [] | no_license | -- MySQL Script generated by MySQL Workbench
-- 11/29/15 15:24:30
-- Model: New Model Version: 1.0
-- MySQL Workbench Forward Engineering
SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0;
SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0;
SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='TRADITIONAL,ALLOW_INVALID_DATES';
-- -----------------------------------------------------
-- Schema convo_db
-- -----------------------------------------------------
-- -----------------------------------------------------
-- Schema convo_db
-- -----------------------------------------------------
CREATE SCHEMA IF NOT EXISTS `convo_db` DEFAULT CHARACTER SET utf8 ;
USE `convo_db` ;
-- -----------------------------------------------------
-- Table `convo_db`.`Users`
-- -----------------------------------------------------
CREATE TABLE IF NOT EXISTS `convo_db`.`Users` (
`user_id` INT UNSIGNED NOT NULL AUTO_INCREMENT,
PRIMARY KEY (`user_id`),
UNIQUE INDEX `user_id_UNIQUE` (`user_id` ASC))
ENGINE = InnoDB;
-- -----------------------------------------------------
-- Table `convo_db`.`Threads`
-- -----------------------------------------------------
CREATE TABLE IF NOT EXISTS `convo_db`.`Threads` (
`thread_id` INT UNSIGNED NOT NULL AUTO_INCREMENT,
`subject` VARCHAR(140) NOT NULL,
`created_at` FLOAT NOT NULL,
PRIMARY KEY (`thread_id`),
UNIQUE INDEX `thread_id_UNIQUE` (`thread_id` ASC))
ENGINE = InnoDB;
-- -----------------------------------------------------
-- Table `convo_db`.`Convos`
-- -----------------------------------------------------
CREATE TABLE IF NOT EXISTS `convo_db`.`Convos` (
`convo_id` INT UNSIGNED NOT NULL AUTO_INCREMENT,
`sender_id` INT NOT NULL,
`thread_id` INT UNSIGNED NOT NULL,
`body` VARCHAR(64000) NOT NULL,
`parent_convo_id` INT UNSIGNED NULL,
`created_at` FLOAT NOT NULL,
PRIMARY KEY (`convo_id`),
UNIQUE INDEX `message_id_UNIQUE` (`convo_id` ASC),
INDEX `fk_Convos_Convos_idx` (`parent_convo_id` ASC),
INDEX `fk_Messages_Threads_idx` (`thread_id` ASC),
INDEX `fk_Messages_Users_idx` (`sender_id` ASC),
CONSTRAINT `fk_Messages_Messages`
FOREIGN KEY (`parent_convo_id`)
REFERENCES `convo_db`.`Convos` (`convo_id`)
ON DELETE RESTRICT
ON UPDATE NO ACTION,
CONSTRAINT `fk_Messages_Threads`
FOREIGN KEY (`thread_id`)
REFERENCES `convo_db`.`Threads` (`thread_id`)
ON DELETE RESTRICT
ON UPDATE NO ACTION,
CONSTRAINT `fk_Messages_Users`
FOREIGN KEY (`sender_id`)
REFERENCES `convo_db`.`Users` (`user_id`)
ON DELETE RESTRICT
ON UPDATE NO ACTION)
ENGINE = InnoDB;
-- -----------------------------------------------------
-- Table `convo_db`.`Receipts`
-- -----------------------------------------------------
CREATE TABLE IF NOT EXISTS `convo_db`.`Receipts` (
`receipt_id` INT UNSIGNED NOT NULL,
`recipient_id` INT NOT NULL,
`convo_id` INT NOT NULL,
`read` TINYINT(1) NOT NULL DEFAULT 0,
`created_at` FLOAT NOT NULL,
`modified_at` FLOAT NOT NULL,
PRIMARY KEY (`receipt_id`),
UNIQUE INDEX `receipts_id_UNIQUE` (`receipt_id` ASC),
INDEX `fk_Receipts_Users_idx` (`recipient_id` ASC),
INDEX `fk_Receipts_Convos_idx` (`convo_id` ASC),
CONSTRAINT `fk_Receipts_Users`
FOREIGN KEY (`recipient_id`)
REFERENCES `convo_db`.`Users` (`user_id`)
ON DELETE RESTRICT
ON UPDATE NO ACTION,
CONSTRAINT `fk_Receipts_Convos`
FOREIGN KEY (`convo_id`)
REFERENCES `convo_db`.`Convos` (`convo_id`)
ON DELETE RESTRICT
ON UPDATE NO ACTION)
ENGINE = InnoDB;
SET SQL_MODE=@OLD_SQL_MODE;
SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS;
SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS;
| true |
11a037d6cd0a6dd6b592380c4045d91de2f91bcb | SQL | hall500/hackerrank-codes | /SQL/draw_the_triangle.sql | UTF-8 | 505 | 3.5 | 4 | [] | no_license | /*
P(R) represents a pattern drawn by Julia in R rows. The following pattern represents P(5):
*
* *
* * *
* * * *
* * * * *
Write a query to print the pattern P(20).
*/
DELIMITER //
CREATE PROCEDURE GeneratePattern(IN num_rows INT)
BEGIN
DECLARE counter INT DEFAULT 1;
DECLARE pattern VARCHAR(255) DEFAULT '*';
WHILE counter <= num_rows DO
SELECT pattern;
SET pattern = CONCAT(pattern, ' *');
SET counter = counter + 1;
END WHILE;
END //
DELIMITER ;
CALL GeneratePattern(20); | true |
082400cbf65cc9ff5ce9c84dd48fa19aaa38a76e | SQL | nhs-digital-gp-it-futures/BuyingCatalogueIdentity | /src/NHSD.BuyingCatalogue.Identity.UserDatabase/Tables/RelatedOrganisations.sql | UTF-8 | 511 | 3.421875 | 3 | [
"MIT"
] | permissive | CREATE TABLE dbo.RelatedOrganisations
(
OrganisationId uniqueidentifier NOT NULL,
RelatedOrganisationId uniqueidentifier NOT NULL,
CONSTRAINT PK_RelatedOrganisations PRIMARY KEY (OrganisationId, RelatedOrganisationId),
CONSTRAINT FK_RelatedOrganisations_OrganisationId FOREIGN KEY (OrganisationId) REFERENCES dbo.Organisations (OrganisationId),
CONSTRAINT FK_RelatedOrganisations_RelatedOrganisationId FOREIGN KEY (RelatedOrganisationId) REFERENCES dbo.Organisations (OrganisationId),
);
| true |
a70e05e22c9a9d6573f258cbebf946faa8c5133c | SQL | upself/trails | /deployment/2016_sprint4/Story_41533/Alter_ScheduleF_pd.sql | UTF-8 | 1,290 | 2.59375 | 3 | [] | no_license | ALTER TABLE "EAADMIN"."SCHEDULE_F" ALTER COLUMN SOFTWARE_ID DROP NOT NULL;
ALTER TABLE "EAADMIN"."SCHEDULE_F" ALTER COLUMN SOFTWARE_NAME DROP NOT NULL;
ALTER TABLE "EAADMIN"."SCHEDULE_F" ALTER COLUMN SOFTWARE_TITLE DROP NOT NULL;
ALTER TABLE "TRAILSPD_CD"."SCHEDULE_F" ALTER COLUMN SOFTWARE_ID DROP NOT NULL;
ALTER TABLE "TRAILSPD_CD"."SCHEDULE_F" ALTER COLUMN SOFTWARE_NAME DROP NOT NULL;
ALTER TABLE "TRAILSPD_CD"."SCHEDULE_F" ALTER COLUMN SOFTWARE_TITLE DROP NOT NULL;
ALTER TABLE "TRAILSPD_CC"."SCHEDULE_F" ALTER COLUMN SOFTWARE_ID DROP NOT NULL;
ALTER TABLE "TRAILSPD_CC"."SCHEDULE_F" ALTER COLUMN SOFTWARE_NAME DROP NOT NULL;
ALTER TABLE "TRAILSPD_CC"."SCHEDULE_F" ALTER COLUMN SOFTWARE_TITLE DROP NOT NULL;
Reorg table EAADMIN.SCHEDULE_f;
Reorg table TRAILSPD_CD.SCHEDULE_F;
Reorg table TRAILSPD_CC.SCHEDULE_F;
RUNSTATS ON TABLE EAADMIN.SCHEDULE_F ON ALL COLUMNS WITH DISTRIBUTION ON ALL COLUMNS AND DETAILED INDEXES ALL ALLOW WRITE ACCESS UTIL_IMPACT_PRIORITY 50
;
RUNSTATS ON TABLE TRAILSPD_CD.SCHEDULE_F ON ALL COLUMNS WITH DISTRIBUTION ON ALL COLUMNS AND DETAILED INDEXES ALL ALLOW WRITE ACCESS UTIL_IMPACT_PRIORITY 50
;
RUNSTATS ON TABLE TRAILSPD_CC.SCHEDULE_F ON ALL COLUMNS WITH DISTRIBUTION ON ALL COLUMNS AND DETAILED INDEXES ALL ALLOW WRITE ACCESS UTIL_IMPACT_PRIORITY 50
; | true |
e912ad1ee8fd52c6681caffdb411b042ecd1d057 | SQL | jasonraimondi/golang-rest-api_nextjs-ssr-client | /db/migrations/000001_create-users-table.up.sql | UTF-8 | 318 | 2.65625 | 3 | [] | no_license | CREATE TABLE users
(
id UUID PRIMARY KEY,
first VARCHAR(255),
last VARCHAR(255),
password_hash VARCHAR(255),
email VARCHAR(255) UNIQUE NOT NULL,
is_verified BOOLEAN DEFAULT FALSE,
created_at BIGINT NOT NULL,
modified_at BIGINT
);
| true |
2c49dc5ea79ee25b2fb91e5de052e616e3a63eb9 | SQL | Telefonica/rural-planner | /sql/ar/indirect_covered_population.sql | UTF-8 | 4,487 | 4.09375 | 4 | [] | no_license | CREATE TABLE IF NOT EXISTS rural_planner.indirect_covered_population (
tower_id int,
settlement_ids text,
settlement_names text,
covered_settlements bigint,
covered_population bigint,
settlement_ids_distributed text,
settlement_names_distributed text,
covered_settlements_distributed bigint,
covered_population_distributed bigint,
internal_id text,
tower_height float,
latitude float,
longitude float);
TRUNCATE TABLE rural_planner.indirect_covered_population;
INSERT INTO rural_planner.indirect_covered_population
SELECT i.tower_id, string_agg(i.settlement_id, ', ') as settlement_ids, string_agg(i.settlement_name, ', ') as settlement_names,
CASE WHEN count(i.*) IS NULL THEN 0 ELSE count(i.*) END AS covered_settlements,
CASE WHEN sum(i.population_corrected) IS NULL THEN 0 ELSE sum(i.population_corrected) END as covered_population,
settlement_ids_distributed,
settlement_names_distributed,
covered_settlements_distributed,
covered_population_distributed,
i.internal_id,
i.tower_height,
i.latitude,
i.longitude
FROM ( SELECT i.tower_id,i.internal_id,
i.tower_height,
i.latitude,
i.longitude, i.source, i.type, s.settlement_id, s.settlement_name, s.population_corrected
FROM rural_planner.infrastructure_global i
left join (SELECT s.*, CASE WHEN movistar_2g_corrected is true then TRUE ELSE FALSE END AS tech_2g,
CASE WHEN movistar_3g_corrected is true then TRUE ELSE FALSE END AS tech_3g,
CASE WHEN movistar_4g_corrected is true then TRUE ELSE FALSE END AS tech_4g
FROM rural_planner.settlements s
LEFT JOIN rural_planner.coverage c
on s.settlement_id=c.settlement_id) s
on i.tech_2g=s.tech_2g and i.tech_3g=s.tech_3g and i.tech_4g=s.tech_4g
AND st_dwithin(s.geom::geography, i.geom::geography, (case when tower_height is null then 0
when tower_height >50 then 5000 else tower_height*100 end))
) i
left join (SELECT tower_id, string_agg(settlement_id, ', ') as settlement_ids_distributed,
string_agg(settlement_name, ', ') as settlement_names_distributed,
CASE WHEN count(*) IS NULL THEN 0 ELSE count(*) END AS covered_settlements_distributed,
CASE WHEN sum(population_corrected) IS NULL THEN 0 ELSE sum(population_corrected) END as covered_population_distributed
FROM
( SELECT distinct on (settlement_id) tower_id, settlement_id, settlement_name, population_corrected
from (SELECT s.*, CASE WHEN movistar_2g_corrected is true then TRUE ELSE FALSE END AS tech_2g,
CASE WHEN movistar_3g_corrected is true then TRUE ELSE FALSE END AS tech_3g,
CASE WHEN movistar_4g_corrected is true then TRUE ELSE FALSE END AS tech_4g
FROM rural_planner.settlements s
LEFT JOIN rural_planner.coverage c
on s.settlement_id=c.settlement_id) s
LEFT JOIN rural_planner.infrastructure_global i
on i.tech_2g=s.tech_2g and i.tech_3g=s.tech_3g and i.tech_4g=s.tech_4g
AND st_dwithin(s.geom::geography, i.geom::geography, (case when tower_height is null then 0
when tower_height >50 then 5000 else tower_height*100 end))
order by settlement_id, st_distance(s.geom::geography, i.geom::geography)/greatest(i.tower_height,1)) a
group by tower_id
) d
on d.tower_id=i.tower_id
WHERE i.source NOT IN ('PERSONAL','PERSONAL_POINTS','CLARO','CLARO_POINTS','GIGARED','SILICA','ARSAT','FIBER_POINTS')
--AND NOT EXISTS (SELECT * FROM rural_planner.indirect_covered_population)
group by i.tower_id,i.internal_id,i.tower_height,i.latitude,i.longitude,settlement_ids_distributed,
settlement_names_distributed,
covered_settlements_distributed,
covered_population_distributed; | true |
5ba26a88b43b0fd930937abe9352cfd6e3046d8a | SQL | aJinbeier/course-selection-system | /SQLQuery1.sql | UTF-8 | 1,070 | 3.28125 | 3 | [] | no_license | /*if exists(select name from sys.databases where name='st')
drop database st;
create database st;*/
use st;
if exists (select name from sys.tables where name='admin')
drop table admin;
create table admin(
uname varchar(20) primary key,
password varchar(20) not null,
name varchar(10) not null
)
if exists (select name from sys.tables where name='student')
drop table student;
create table student(
sno varchar(50) primary key,
sname varchar(50) not null,
major varchar(50) not null
)
if exists (select name from sys.tables where name ='course')
drop table course;
create table course(
cno varchar(50) primary key,
cname varchar(50) not null
)
if exists (select name from sys.tables where name='s_c')
drop table s_c;
create table s_c(
cno varchar(50) primary key,
sno varchar(50) not null,
score varchar(10) not null
)
insert into admin
values('admin','admin','admin')
insert into student
values('201412203501009','ylw','imformation')
insert into course
values ('001','math')
insert into s_c
values ('001','201412203501009','20') | true |
b21f63c70e7ad18795cc6e9386b6f929f26d8512 | SQL | Ashley-Pritchard/Elective-QA-Scripts | /q3_missing_indication_category.sql | UTF-8 | 3,263 | 3.765625 | 4 | [] | no_license | /* The following script identifies null genetictest.indicationcategory fields for which it may be possible to
* interpret the indication category using information from the genetictest.clinicalindication field. Note that
* this query only pulls the fields which align to definitive indication categories. However, the remaining null
* entries could be completed as 'code 13 - other'. Duplicate patient_ids may arise as a single patient can have
* more than one genetic test. This script can be CUSTOMISED to search for a specific patient_id or for patients
* born within a specified date range by uncommenting the respective line of code at the bottom of the script
* and inserting appropriate id or dates within the quotation marks (''). When filtering by date, this script
* has been designed to include patient cases for which the date of birth is unknown. To exlude these cases,
* delete 'OR p.birthdate1 IS NULL' from the newly uncommented code. */
SELECT DISTINCT p.patientid AS patient_id, gt.genetictestid AS genetic_test_id, p.birthdate1 AS patient_dob,
gt.indicationcategory AS indication_category, gt.clinicalindication AS clinical_indication
FROM springmvc3.genetictest gt
LEFT JOIN springmvc3.event e ON gt.genetictestid=e.eventid
LEFT JOIN springmvc3.patient p ON e.patientid=p.patientid
WHERE (UPPER(gt.clinicalindication) LIKE '%NUCHAL%'
OR UPPER(gt.clinicalindication) LIKE 'NT%'
OR UPPER(gt.clinicalindication) LIKE '%FAMILY HISTORY%'
OR UPPER(gt.clinicalindication) LIKE '%ULTRASOUND%'
OR UPPER(gt.clinicalindication) LIKE '%SCAN%'
OR UPPER(gt.clinicalindication) LIKE '%CHROMOSOMAL ABNORMALITY%'
OR UPPER(gt.clinicalindication) LIKE '%CHROMOSOME ABNORMALITY%'
OR UPPER(gt.clinicalindication) LIKE '%COMBINED%'
OR UPPER(gt.clinicalindication) LIKE '%QUADRUPLE%'
OR UPPER(gt.clinicalindication) LIKE '%NIPT%'
OR UPPER(gt.clinicalindication) LIKE '%MICROARRAY%'
OR UPPER(gt.clinicalindication) LIKE '%CONFIRMATION%'
OR UPPER(gt.clinicalindication) LIKE '%REQUEST%'
OR UPPER(gt.clinicalindication) LIKE '%PHENOTYPE%'
OR UPPER(gt.clinicalindication) LIKE '%MOLAR%'
OR UPPER(gt.clinicalindication) LIKE '%MISCARRIAGE%'
OR UPPER(gt.clinicalindication) LIKE '%IUD%'
OR UPPER(gt.clinicalindication) LIKE '%PERINATAL DEATH%'
OR UPPER(gt.clinicalindication) LIKE '%DIED%'
OR UPPER(gt.clinicalindication) LIKE '%TERMINATION%'
OR UPPER(gt.clinicalindication) LIKE '%PARENTAL BLOOD%'
OR UPPER(gt.clinicalindication) LIKE '%MATERNAL BLOOD%'
OR UPPER(gt.clinicalindication) LIKE '%PATERNAL BLOOD%'
OR UPPER(REPLACE(gt.clinicalindication, '''', '')) LIKE '%MOTHERS BLOOD%'
OR UPPER(REPLACE(gt.clinicalindication, '''', '')) LIKE '%FATHERS BLOOD%'
OR UPPER(gt.clinicalindication) LIKE '%DEVELOPMENT%'
OR UPPER(gt.clinicalindication) LIKE '%INFERTILITY%'
OR UPPER(gt.clinicalindication) LIKE '%PUBERTY%'
OR UPPER(gt.clinicalindication) LIKE '%GONADAL%'
OR UPPER(gt.clinicalindication) LIKE '%GENITALIA%'
OR UPPER(gt.clinicalindication) LIKE '%SUDDEN DEATH%'
OR UPPER(gt.clinicalindication) LIKE '%100KGP%'
OR UPPER(gt.clinicalindication) LIKE '%CARRIER%')
AND gt.indicationcategory IS NULL
--AND p.patientid = ''
--AND p.birthdate1 BETWEEN '' AND '' OR p.birthdate1 IS NULL
ORDER BY patient_id | true |
c2edacf53320c7adc9affc2756d48f7f764698e8 | SQL | jen-do/petition | /users.sql | UTF-8 | 244 | 2.796875 | 3 | [] | no_license | DROP TABLE IF EXISTS users;
CREATE TABLE users (
id SERIAL PRIMARY KEY,
first VARCHAR(50) NOT NULL,
last VARCHAR(50) NOT NULL,
email VARCHAR(200) NOT NULL UNIQUE CHECK (email <>''),
pass VARCHAR(200) NOT NULL
);
| true |
da5c9edf9668a1e93cb5344a694f52ee8f8ee626 | SQL | fcasaloti/Inventory-App | /inc/sql/CREATE-DATABASE.sql | UTF-8 | 3,650 | 3.25 | 3 | [] | no_license | DROP DATABASE IF EXISTS assessment;
CREATE DATABASE assessment;
USE assessment;
CREATE TABLE user (
id INT AUTO_INCREMENT PRIMARY KEY,
name TINYTEXT NOT NULL,
email TINYTEXT NOT NULL,
username TINYTEXT NOT NULL,
password TINYTEXT NOT NULL,
role TINYTEXT NOT NULL,
companyname TINYTEXT NOT NULL
) Engine = InnoDB;
CREATE TABLE employee (
eId INT AUTO_INCREMENT PRIMARY KEY,
eStatus TINYTEXT NOT NULL,
eFullName TINYTEXT NOT NULL,
eEmail TINYTEXT NOT NULL,
eCompany TINYTEXT NOT NULL,
ePosition TINYTEXT NOT NULL,
eDepartment TINYTEXT NOT NULL,
ePhone TINYTEXT NOT NULL,
eMobile TINYTEXT NOT NULL,
eCountry TINYTEXT NOT NULL,
eState TINYTEXT NOT NULL,
eCity TINYTEXT NOT NULL,
eAddress TINYTEXT NOT NULL,
eLocation TINYTEXT NOT NULL,
username TINYTEXT NOT NULL,
time TINYTEXT NOT NULL
) Engine = InnoDB;
CREATE TABLE computer (
computerId INT AUTO_INCREMENT PRIMARY KEY,
eId INT NOT NULL,
computerOwner TINYTEXT NOT NULL,
computerTag TINYTEXT NOT NULL,
computerHostname TINYTEXT NOT NULL,
computerType TINYTEXT NOT NULL,
computerStatus TINYTEXT NOT NULL,
computerBrand TINYTEXT NOT NULL,
computerModel TINYTEXT NOT NULL,
computerProc TINYTEXT NOT NULL,
computerMem TINYTEXT NOT NULL,
computerSerial TINYTEXT NOT NULL,
computerIp TINYTEXT NOT NULL,
computerHDModel TINYTEXT NOT NULL,
computerHDSize TINYTEXT NOT NULL,
computerNetMap TINYTEXT NOT NULL,
monitorOwner TINYTEXT NOT NULL,
monitorBrand TINYTEXT NOT NULL,
monitorSize TINYTEXT NOT NULL,
monitorSerial TINYTEXT NOT NULL,
monitorTag TINYTEXT NOT NULL,
os TINYTEXT NOT NULL,
osVersion TINYTEXT NOT NULL,
osArc TINYTEXT NOT NULL,
osLicType TINYTEXT NOT NULL,
swAvType TINYTEXT NOT NULL,
swWeb TINYTEXT NOT NULL,
notes TINYTEXT NOT NULL,
username TINYTEXT NOT NULL,
time TINYTEXT NOT NULL,
FOREIGN KEY (eId) REFERENCES employee(eId) ON UPDATE CASCADE
) Engine = InnoDB;
CREATE TABLE software (
swId INT AUTO_INCREMENT PRIMARY KEY,
computerId INT NOT NULL,
swName TINYTEXT NOT NULL,
swVersion TINYTEXT NOT NULL,
swVendor TINYTEXT NOT NULL,
FOREIGN KEY (computerId) REFERENCES computer(computerId) ON UPDATE CASCADE
) Engine = InnoDB;
CREATE TABLE device (
deviceId INT AUTO_INCREMENT PRIMARY KEY,
eId INT NOT NULL,
deviceOwner TINYTEXT NOT NULL,
deviceStatus TINYTEXT NOT NULL,
deviceType TINYTEXT NOT NULL,
deviceBrand TINYTEXT NOT NULL,
deviceModel TINYTEXT NOT NULL,
deviceSerial TINYTEXT NOT NULL,
deviceIp TINYTEXT NOT NULL,
deviceTag TINYTEXT NOT NULL,
deviceOS TINYTEXT NOT NULL,
notes TINYTEXT NOT NULL,
username TINYTEXT NOT NULL,
time TINYTEXT NOT NULL,
FOREIGN KEY (eId) REFERENCES employee(eId) ON UPDATE CASCADE
) Engine = InnoDB;
INSERT INTO user (
name,
email,
username,
password,
role,
companyname
)
VALUES (
'Administrator',
'admin@domain.com',
'admin',
"$2y$09$lGEbs3lV9V5gtHRs0xCUV.82npyHgbjAkfvIysz10b7hotLV6vQUW",
'admin',
'COMPANYNAME'
);
INSERT INTO employee (
eStatus,
eFullName,
eEmail,
eCompany,
ePosition,
eDepartment,
ePhone,
eMobile,
eCountry,
eState,
eCity,
eAddress,
eLocation,
username,
time)
VALUES (
'inactive',
'Blank',
'blank@domain.com',
'Blank',
'Blank',
'Blank',
'Blank',
'Blank',
'Blank',
'Blank',
'Blank',
'Blank',
'Blank',
'Blank',
0
);
| true |
f395f6c8f8052b78602bef42c770923acc7f8268 | SQL | sanghyukYoun/Calendar | /1/WebContent/board/board.sql | UTF-8 | 233 | 2.84375 | 3 | [] | no_license | drop table Board;
create table Board (
id int not null auto_increment,
user varchar(8) not null,
title varchar(8) not null,
date varchar(10),
content varchar(500) not null,
primary key (id)
) charset=utf8;
select * from Board; | true |
cf32bf0023026ef8a92655879da6265e4d39c1b3 | SQL | ffimnsr-archive/sample-vertx-graphql | /graph/src/main/resources/db/migration/V2.3__Create_Work_Experience_Schema.sql | UTF-8 | 624 | 3.5625 | 4 | [] | no_license | CREATE TABLE IF NOT EXISTS work_experiences (
id BIGINT UNSIGNED PRIMARY KEY DEFAULT UUID_SHORT(),
user_id BIGINT UNSIGNED NULL DEFAULT NULL,
title VARCHAR (100) NOT NULL,
organization VARCHAR (200) NOT NULL,
location VARCHAR (200) NOT NULL,
from_date DATE NOT NULL,
to_date DATE NOT NULL,
description TEXT NULL DEFAULT NULL,
created_at TIMESTAMP NOT NULL DEFAULT NOW(),
updated_at TIMESTAMP NOT NULL,
CONSTRAINT work_experiences_user_id_fkey FOREIGN KEY (user_id) REFERENCES user_clues (id) ON UPDATE NO ACTION ON DELETE SET NULL
);
CREATE INDEX work_experiences_index ON work_experiences (user_id);
| true |
143b30634809cfe3e7dc3cc306d53412b9483587 | SQL | xunfeiniao/Django | /Book_Django/django_db1.sql | UTF-8 | 13,480 | 2.875 | 3 | [] | no_license | # SQL-Front 5.1 (Build 4.16)
/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE */;
/*!40101 SET SQL_MODE='NO_AUTO_CREATE_USER,NO_ENGINE_SUBSTITUTION' */;
/*!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES */;
/*!40103 SET SQL_NOTES='ON' */;
/*!40014 SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS */;
/*!40014 SET UNIQUE_CHECKS=0 */;
/*!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS */;
/*!40014 SET FOREIGN_KEY_CHECKS=0 */;
# Host: localhost Database: django_db1
# ------------------------------------------------------
# Server version 5.5.35
DROP DATABASE IF EXISTS `django_db1`;
CREATE DATABASE `django_db1` /*!40100 DEFAULT CHARACTER SET utf8 */;
USE `django_db1`;
#
# Source for table auth_group
#
DROP TABLE IF EXISTS `auth_group`;
CREATE TABLE `auth_group` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(80) NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `name` (`name`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8;
#
# Dumping data for table auth_group
#
LOCK TABLES `auth_group` WRITE;
/*!40000 ALTER TABLE `auth_group` DISABLE KEYS */;
/*!40000 ALTER TABLE `auth_group` ENABLE KEYS */;
UNLOCK TABLES;
#
# Source for table auth_group_permissions
#
DROP TABLE IF EXISTS `auth_group_permissions`;
CREATE TABLE `auth_group_permissions` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`group_id` int(11) NOT NULL,
`permission_id` int(11) NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `auth_group_permissions_group_id_permission_id_0cd325b0_uniq` (`group_id`,`permission_id`),
KEY `auth_group_permissions_group_id_b120cbf9` (`group_id`),
KEY `auth_group_permissions_permission_id_84c5c92e` (`permission_id`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8;
#
# Dumping data for table auth_group_permissions
#
LOCK TABLES `auth_group_permissions` WRITE;
/*!40000 ALTER TABLE `auth_group_permissions` DISABLE KEYS */;
/*!40000 ALTER TABLE `auth_group_permissions` ENABLE KEYS */;
UNLOCK TABLES;
#
# Source for table auth_permission
#
DROP TABLE IF EXISTS `auth_permission`;
CREATE TABLE `auth_permission` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(255) NOT NULL,
`content_type_id` int(11) NOT NULL,
`codename` varchar(100) NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `auth_permission_content_type_id_codename_01ab375a_uniq` (`content_type_id`,`codename`),
KEY `auth_permission_content_type_id_2f476e4b` (`content_type_id`)
) ENGINE=MyISAM AUTO_INCREMENT=25 DEFAULT CHARSET=utf8;
#
# Dumping data for table auth_permission
#
LOCK TABLES `auth_permission` WRITE;
/*!40000 ALTER TABLE `auth_permission` DISABLE KEYS */;
INSERT INTO `auth_permission` VALUES (1,'Can add log entry',1,'add_logentry');
INSERT INTO `auth_permission` VALUES (2,'Can change log entry',1,'change_logentry');
INSERT INTO `auth_permission` VALUES (3,'Can delete log entry',1,'delete_logentry');
INSERT INTO `auth_permission` VALUES (4,'Can add permission',2,'add_permission');
INSERT INTO `auth_permission` VALUES (5,'Can change permission',2,'change_permission');
INSERT INTO `auth_permission` VALUES (6,'Can delete permission',2,'delete_permission');
INSERT INTO `auth_permission` VALUES (7,'Can add group',3,'add_group');
INSERT INTO `auth_permission` VALUES (8,'Can change group',3,'change_group');
INSERT INTO `auth_permission` VALUES (9,'Can delete group',3,'delete_group');
INSERT INTO `auth_permission` VALUES (10,'Can add user',4,'add_user');
INSERT INTO `auth_permission` VALUES (11,'Can change user',4,'change_user');
INSERT INTO `auth_permission` VALUES (12,'Can delete user',4,'delete_user');
INSERT INTO `auth_permission` VALUES (13,'Can add content type',5,'add_contenttype');
INSERT INTO `auth_permission` VALUES (14,'Can change content type',5,'change_contenttype');
INSERT INTO `auth_permission` VALUES (15,'Can delete content type',5,'delete_contenttype');
INSERT INTO `auth_permission` VALUES (16,'Can add session',6,'add_session');
INSERT INTO `auth_permission` VALUES (17,'Can change session',6,'change_session');
INSERT INTO `auth_permission` VALUES (18,'Can delete session',6,'delete_session');
INSERT INTO `auth_permission` VALUES (19,'Can add book',7,'add_book');
INSERT INTO `auth_permission` VALUES (20,'Can change book',7,'change_book');
INSERT INTO `auth_permission` VALUES (21,'Can delete book',7,'delete_book');
INSERT INTO `auth_permission` VALUES (22,'Can add book',8,'add_book');
INSERT INTO `auth_permission` VALUES (23,'Can change book',8,'change_book');
INSERT INTO `auth_permission` VALUES (24,'Can delete book',8,'delete_book');
/*!40000 ALTER TABLE `auth_permission` ENABLE KEYS */;
UNLOCK TABLES;
#
# Source for table auth_user
#
DROP TABLE IF EXISTS `auth_user`;
CREATE TABLE `auth_user` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`password` varchar(128) NOT NULL,
`last_login` datetime DEFAULT NULL,
`is_superuser` tinyint(1) NOT NULL,
`username` varchar(150) NOT NULL,
`first_name` varchar(30) NOT NULL,
`last_name` varchar(150) NOT NULL,
`email` varchar(254) NOT NULL,
`is_staff` tinyint(1) NOT NULL,
`is_active` tinyint(1) NOT NULL,
`date_joined` datetime NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `username` (`username`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8;
#
# Dumping data for table auth_user
#
LOCK TABLES `auth_user` WRITE;
/*!40000 ALTER TABLE `auth_user` DISABLE KEYS */;
/*!40000 ALTER TABLE `auth_user` ENABLE KEYS */;
UNLOCK TABLES;
#
# Source for table auth_user_groups
#
DROP TABLE IF EXISTS `auth_user_groups`;
CREATE TABLE `auth_user_groups` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`user_id` int(11) NOT NULL,
`group_id` int(11) NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `auth_user_groups_user_id_group_id_94350c0c_uniq` (`user_id`,`group_id`),
KEY `auth_user_groups_user_id_6a12ed8b` (`user_id`),
KEY `auth_user_groups_group_id_97559544` (`group_id`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8;
#
# Dumping data for table auth_user_groups
#
LOCK TABLES `auth_user_groups` WRITE;
/*!40000 ALTER TABLE `auth_user_groups` DISABLE KEYS */;
/*!40000 ALTER TABLE `auth_user_groups` ENABLE KEYS */;
UNLOCK TABLES;
#
# Source for table auth_user_user_permissions
#
DROP TABLE IF EXISTS `auth_user_user_permissions`;
CREATE TABLE `auth_user_user_permissions` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`user_id` int(11) NOT NULL,
`permission_id` int(11) NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `auth_user_user_permissions_user_id_permission_id_14a6b632_uniq` (`user_id`,`permission_id`),
KEY `auth_user_user_permissions_user_id_a95ead1b` (`user_id`),
KEY `auth_user_user_permissions_permission_id_1fbb5f2c` (`permission_id`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8;
#
# Dumping data for table auth_user_user_permissions
#
LOCK TABLES `auth_user_user_permissions` WRITE;
/*!40000 ALTER TABLE `auth_user_user_permissions` DISABLE KEYS */;
/*!40000 ALTER TABLE `auth_user_user_permissions` ENABLE KEYS */;
UNLOCK TABLES;
#
# Source for table book_book
#
DROP TABLE IF EXISTS `book_book`;
CREATE TABLE `book_book` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(100) NOT NULL,
`author` varchar(100) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=12 DEFAULT CHARSET=utf8;
#
# Dumping data for table book_book
#
LOCK TABLES `book_book` WRITE;
/*!40000 ALTER TABLE `book_book` DISABLE KEYS */;
INSERT INTO `book_book` VALUES (1,'射雕英雄传','金庸');
INSERT INTO `book_book` VALUES (4,'完美世界','辰东');
INSERT INTO `book_book` VALUES (9,'圣墟','辰东');
INSERT INTO `book_book` VALUES (11,'遮天','辰东');
/*!40000 ALTER TABLE `book_book` ENABLE KEYS */;
UNLOCK TABLES;
#
# Source for table django_admin_log
#
DROP TABLE IF EXISTS `django_admin_log`;
CREATE TABLE `django_admin_log` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`action_time` datetime NOT NULL,
`object_id` longtext,
`object_repr` varchar(200) NOT NULL,
`action_flag` smallint(5) unsigned NOT NULL,
`change_message` longtext NOT NULL,
`content_type_id` int(11) DEFAULT NULL,
`user_id` int(11) NOT NULL,
PRIMARY KEY (`id`),
KEY `django_admin_log_content_type_id_c4bce8eb` (`content_type_id`),
KEY `django_admin_log_user_id_c564eba6` (`user_id`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8;
#
# Dumping data for table django_admin_log
#
LOCK TABLES `django_admin_log` WRITE;
/*!40000 ALTER TABLE `django_admin_log` DISABLE KEYS */;
/*!40000 ALTER TABLE `django_admin_log` ENABLE KEYS */;
UNLOCK TABLES;
#
# Source for table django_content_type
#
DROP TABLE IF EXISTS `django_content_type`;
CREATE TABLE `django_content_type` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`app_label` varchar(100) NOT NULL,
`model` varchar(100) NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `django_content_type_app_label_model_76bd3d3b_uniq` (`app_label`,`model`)
) ENGINE=MyISAM AUTO_INCREMENT=9 DEFAULT CHARSET=utf8;
#
# Dumping data for table django_content_type
#
LOCK TABLES `django_content_type` WRITE;
/*!40000 ALTER TABLE `django_content_type` DISABLE KEYS */;
INSERT INTO `django_content_type` VALUES (1,'admin','logentry');
INSERT INTO `django_content_type` VALUES (2,'auth','permission');
INSERT INTO `django_content_type` VALUES (3,'auth','group');
INSERT INTO `django_content_type` VALUES (4,'auth','user');
INSERT INTO `django_content_type` VALUES (5,'contenttypes','contenttype');
INSERT INTO `django_content_type` VALUES (6,'sessions','session');
INSERT INTO `django_content_type` VALUES (7,'front','book');
INSERT INTO `django_content_type` VALUES (8,'book','book');
/*!40000 ALTER TABLE `django_content_type` ENABLE KEYS */;
UNLOCK TABLES;
#
# Source for table django_migrations
#
DROP TABLE IF EXISTS `django_migrations`;
CREATE TABLE `django_migrations` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`app` varchar(255) NOT NULL,
`name` varchar(255) NOT NULL,
`applied` datetime NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=17 DEFAULT CHARSET=utf8;
#
# Dumping data for table django_migrations
#
LOCK TABLES `django_migrations` WRITE;
/*!40000 ALTER TABLE `django_migrations` DISABLE KEYS */;
INSERT INTO `django_migrations` VALUES (1,'contenttypes','0001_initial','2018-07-23 03:01:10');
INSERT INTO `django_migrations` VALUES (2,'auth','0001_initial','2018-07-23 03:01:13');
INSERT INTO `django_migrations` VALUES (3,'admin','0001_initial','2018-07-23 03:01:13');
INSERT INTO `django_migrations` VALUES (4,'admin','0002_logentry_remove_auto_add','2018-07-23 03:01:13');
INSERT INTO `django_migrations` VALUES (5,'contenttypes','0002_remove_content_type_name','2018-07-23 03:01:13');
INSERT INTO `django_migrations` VALUES (6,'auth','0002_alter_permission_name_max_length','2018-07-23 03:01:13');
INSERT INTO `django_migrations` VALUES (7,'auth','0003_alter_user_email_max_length','2018-07-23 03:01:14');
INSERT INTO `django_migrations` VALUES (8,'auth','0004_alter_user_username_opts','2018-07-23 03:01:14');
INSERT INTO `django_migrations` VALUES (9,'auth','0005_alter_user_last_login_null','2018-07-23 03:01:14');
INSERT INTO `django_migrations` VALUES (10,'auth','0006_require_contenttypes_0002','2018-07-23 03:01:14');
INSERT INTO `django_migrations` VALUES (11,'auth','0007_alter_validators_add_error_messages','2018-07-23 03:01:14');
INSERT INTO `django_migrations` VALUES (12,'auth','0008_alter_user_username_max_length','2018-07-23 03:01:14');
INSERT INTO `django_migrations` VALUES (13,'auth','0009_alter_user_last_name_max_length','2018-07-23 03:01:14');
INSERT INTO `django_migrations` VALUES (14,'front','0001_initial','2018-07-23 03:01:14');
INSERT INTO `django_migrations` VALUES (15,'sessions','0001_initial','2018-07-23 03:01:14');
INSERT INTO `django_migrations` VALUES (16,'book','0001_initial','2018-07-23 06:34:52');
/*!40000 ALTER TABLE `django_migrations` ENABLE KEYS */;
UNLOCK TABLES;
#
# Source for table django_session
#
DROP TABLE IF EXISTS `django_session`;
CREATE TABLE `django_session` (
`session_key` varchar(40) NOT NULL,
`session_data` longtext NOT NULL,
`expire_date` datetime NOT NULL,
PRIMARY KEY (`session_key`),
KEY `django_session_expire_date_a5c62663` (`expire_date`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8;
#
# Dumping data for table django_session
#
LOCK TABLES `django_session` WRITE;
/*!40000 ALTER TABLE `django_session` DISABLE KEYS */;
/*!40000 ALTER TABLE `django_session` ENABLE KEYS */;
UNLOCK TABLES;
#
# Source for table first
#
DROP TABLE IF EXISTS `first`;
CREATE TABLE `first` (
`Id` int(11) NOT NULL AUTO_INCREMENT,
`author` varchar(255) DEFAULT NULL,
`name` varchar(255) DEFAULT NULL,
PRIMARY KEY (`Id`)
) ENGINE=MyISAM AUTO_INCREMENT=6 DEFAULT CHARSET=utf8;
#
# Dumping data for table first
#
LOCK TABLES `first` WRITE;
/*!40000 ALTER TABLE `first` DISABLE KEYS */;
INSERT INTO `first` VALUES (5,'辰东','圣墟');
/*!40000 ALTER TABLE `first` ENABLE KEYS */;
UNLOCK TABLES;
#
# Source for table front_book
#
DROP TABLE IF EXISTS `front_book`;
CREATE TABLE `front_book` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(100) NOT NULL,
`author` varchar(100) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=5 DEFAULT CHARSET=utf8;
#
# Dumping data for table front_book
#
LOCK TABLES `front_book` WRITE;
/*!40000 ALTER TABLE `front_book` DISABLE KEYS */;
INSERT INTO `front_book` VALUES (1,'圣墟','辰东');
INSERT INTO `front_book` VALUES (2,'遮天','辰东');
/*!40000 ALTER TABLE `front_book` ENABLE KEYS */;
UNLOCK TABLES;
/*!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS */;
/*!40014 SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS */;
/*!40111 SET SQL_NOTES=@OLD_SQL_NOTES */;
/*!40101 SET SQL_MODE=@OLD_SQL_MODE */;
| true |
90e0f3873cd42fd2f71f6a33cb43273269ecbfd9 | SQL | enghelizabeth/ReservationProject | /avionrapide/ScriptsForDB/airport_script.sql | UTF-8 | 663 | 2.578125 | 3 | [] | no_license | insert into airport(airport_code, airport_name, city, state_abbrev, zipcode) values
('BHM', 'Birmingham International Airport', 'Birmingham', 'AL', 35212),
('DHN', 'Dothan Regional Airport', 'Dothan', 'AL', 36303),
('HSV', 'Huntsville International Airport', 'Huntsville', 'AL', 35824),
('IWA', 'Phoenix–Mesa Gateway Airport', 'Mesa', 'AZ', 85212),
('PHX', 'Phoenix Sky Harbor International Airport', 'Phoenix', 'AZ', 85034),
('PRC', 'Prescott Municipal Airport', 'Prescott', 'AZ', 86301),
('TUS', 'Tucson International Airport', 'Tucson', 'AZ', 85756),
('MOT', 'Minot Airport', 'Minot', 'ND', 58703),
('TUC', 'Tucson Domestic Airport', 'Tucson', 'AZ', 85756);
| true |
bd391e36c244f6c5dc2a8b8b57855d9c9100a2a8 | SQL | JonCourbon/domaineskiable | /domaineskiable_V2/divers/scriptcreationbdd.sql | UTF-8 | 869 | 3.421875 | 3 | [] | no_license | /* table: piste(id,nom,type,couleur) */
CREATE TABLE IF NOT EXISTS piste (
id int(11) NOT NULL AUTO_INCREMENT,
nom varchar(20) NOT NULL,
type varchar(20) NOT NULL,
couleur varchar(20) NOT NULL,
PRIMARY KEY (id)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
INSERT INTO piste(id, nom, type, couleur) VALUES(NULL, 'PRN', 'nordique', 'rouge'),(NULL, 'bbleuue', 'nordique', 'bleu'),(NULL, 'PRN', 'fond', 'verte');
/* table: remontee(id,nom,type, etat) */
CREATE TABLE IF NOT EXISTS remontee (
id int(11) NOT NULL AUTO_INCREMENT,
nom varchar(20) NOT NULL,
type varchar(20) NOT NULL,
etat varchar(20) NOT NULL,
PRIMARY KEY (id)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
INSERT INTO remontee(id, nom, type, etat) VALUES(NULL, 'TS Grand mont', 'teleski', 'ouvert'),(NULL, 'TS petit pas', 'teleski', 'ferme'),(NULL, 'TP Gand ttle', 'telepherique', 'ferme');
| true |
dfdf8f69b75c15d87c4d38491a52622ea3adf630 | SQL | ritz0007/go-drive | /docs/init.sql | UTF-8 | 1,621 | 3.078125 | 3 | [
"MIT"
] | permissive | -- DDL
CREATE TABLE drives
(
name VARCHAR
PRIMARY KEY,
type VARCHAR NOT NULL,
config VARCHAR NOT NULL,
enabled INTEGER
);
CREATE TABLE path_mount
(
path VARCHAR,
name VARCHAR,
mount_at VARCHAR NOT NULL,
PRIMARY KEY (path, name)
);
CREATE TABLE groups
(
name VARCHAR
PRIMARY KEY
);
CREATE TABLE path_permissions
(
path VARCHAR,
subject VARCHAR NOT NULL,
permission INTEGER NOT NULL,
policy INTEGER NOT NULL,
depth INTEGER NOT NULL,
PRIMARY KEY (path, subject)
);
CREATE TABLE user_groups
(
group_name VARCHAR,
username VARCHAR,
PRIMARY KEY (group_name, username)
);
CREATE TABLE users
(
username VARCHAR
PRIMARY KEY,
password VARCHAR NOT NULL
);
CREATE TABLE drive_data
(
drive VARCHAR,
data_key VARCHAR,
data_value VARCHAR,
PRIMARY KEY (drive, data_key)
);
CREATE TABLE drive_cache
(
drive VARCHAR NOT NULL,
path VARCHAR NOT NULL,
depth INTEGER NOT NULL,
type INTEGER NOT NULL,
cache_value TEXT NOT NULL,
expires_at INTEGER NOT NULL,
PRIMARY KEY (drive, path, depth, type)
);
-- Init data
INSERT INTO users(username, password)
VALUES ('admin', '$2y$10$Xqn8qV2D2KY2ceI5esM/JOiKTPKJFbkSzzuhce89BxygvCqnhyk3m');
-- 123456
INSERT INTO groups(name)
VALUES ('admin');
INSERT INTO user_groups(username, group_name)
VALUES ('admin', 'admin');
INSERT INTO path_permissions(path, subject, permission, policy, depth)
VALUES ('', 'ANY', 1, 1, 0);
INSERT INTO path_permissions(path, subject, permission, policy, depth)
VALUES ('', 'g:admin', 3, 1, 0);
| true |
fdf85bbb859d2e23591d340f3470866cc34f0587 | SQL | mseong123/protocount-nodejs-mysql | /mysql_files/STORED PROCEDURES/GOODS_RECEIVED_NOTE/SELECT_GOODS_RECEIVED_NOTE.sql | UTF-8 | 925 | 3.671875 | 4 | [] | no_license |
DELIMITER //
CREATE PROCEDURE SELECT_GOODS_RECEIVED_NOTE(IN GOODS_RECEIVED_NOTE_NUM_PARAM VARCHAR(20))
BEGIN
DECLARE EXIT HANDLER FOR SQLEXCEPTION
BEGIN
ROLLBACK;
RESIGNAL;
END;
START TRANSACTION;
SELECT CREDITOR_NUM, CREDITOR_NAME, CREDITOR_ADDRESS, GOODS_RECEIVED_NOTE_NUM,GOODS_RECEIVED_NOTE_DATE,GOODS_RECEIVED_NOTE_DESC, GOODS_RECEIVED_NOTE_NUM AS GOODS_RECEIVED_NOTE_NUM_OLD FROM creditor JOIN goods_received_note USING (CREDITOR_NUM) WHERE GOODS_RECEIVED_NOTE_NUM=GOODS_RECEIVED_NOTE_NUM_PARAM;
SELECT GOODS_RECEIVED_NOTELINE_LINENUMBER,GOODS_RECEIVED_NOTELINE_STOCK_NUM,GOODS_RECEIVED_NOTELINE_STOCK_DESC,GOODS_RECEIVED_NOTELINE_STOCK_QTY FROM goods_received_noteline WHERE GOODS_RECEIVED_NOTE_NUM=GOODS_RECEIVED_NOTE_NUM_PARAM;
SELECT GOODS_RECEIVED_NOTELINE_LINENUMBER,STOCK_NUM,GOODS_RECEIVED_NOTE_STOCK_QTY FROM goods_received_note_stock WHERE GOODS_RECEIVED_NOTE_NUM=GOODS_RECEIVED_NOTE_NUM_PARAM;
COMMIT;
END// | true |
10451a9ba6af183656352182919495e2d93ccd0c | SQL | silence-do-good/stress-test-Postgres-and-MySQL | /dump/high/day09/select1438.sql | UTF-8 | 260 | 3.0625 | 3 | [] | no_license |
SELECT sen.name
FROM SENSOR sen, SENSOR_TYPE st, COVERAGE_INFRASTRUCTURE ci
WHERE sen.SENSOR_TYPE_ID=st.id AND st.name='WeMo' AND sen.id=ci.SENSOR_ID AND ci.INFRASTRUCTURE_ID=ANY(array['2099','2214','3214','3059','5226','6056','1427','2061','3222','2092'])
| true |
b2fe4304f04ad6692316927d1962692c2968e6c6 | SQL | arthurjdileo/buy-me | /schemas/sessions.sql | UTF-8 | 256 | 3.640625 | 4 | [] | no_license | CREATE TABLE Sessions(
id int NOT NULL AUTO_INCREMENT,
session_uuid varchar(36) NOT NULL UNIQUE,
acc_uuid varchar(36) NOT NULL UNIQUE,
created datetime DEFAULT NOW() NOT NULL,
PRIMARY KEY(id),
FOREIGN KEY(acc_uuid) REFERENCES Users(acc_uuid)
); | true |
40c7d1d29f0be385e23d19f3cf651d7639e82d5e | SQL | ttaek1320/ShoppingMall | /WebContent/sql/newfile.sql | UTF-8 | 4,557 | 3.515625 | 4 | [] | no_license |
/* Drop Views */
DROP VIEW SCOTT.BEST_PRO_VIEW;
DROP VIEW SCOTT.CART_VIEW;
DROP VIEW SCOTT.NEW_PRO_VIEW;
DROP VIEW SCOTT.ORDER_VIEW;
/* Drop Tables */
DROP TABLE SCOTT.CART CASCADE CONSTRAINTS;
DROP TABLE SCOTT.ORDER_DETAIL CASCADE CONSTRAINTS;
DROP TABLE SCOTT.ORDERS CASCADE CONSTRAINTS;
DROP TABLE SCOTT.PRODUCT CASCADE CONSTRAINTS;
DROP TABLE SCOTT.MEMBER CASCADE CONSTRAINTS;
DROP TABLE SCOTT.QNA CASCADE CONSTRAINTS;
/* Drop Sequences */
DROP SEQUENCE SCOTT.BOARD_SEQ;
DROP SEQUENCE SCOTT.CART_SEQ;
DROP SEQUENCE SCOTT.ORDERS_DETAIL_SEQ;
DROP SEQUENCE SCOTT.ORDERS_SEQ;
DROP SEQUENCE SCOTT.ORDER_DETAIL_SEQ;
DROP SEQUENCE SCOTT.PRODUCT_SEQ;
DROP SEQUENCE SCOTT.QNA_SEQ;
/* Create Sequences */
CREATE SEQUENCE SCOTT.BOARD_SEQ INCREMENT BY 1 MINVALUE 1 MAXVALUE 9999999999999999999999999999 START WITH 41 CACHE 20;
CREATE SEQUENCE SCOTT.CART_SEQ INCREMENT BY 1 MINVALUE 1 MAXVALUE 9999999999999999999999999999 START WITH 21 CACHE 20;
CREATE SEQUENCE SCOTT.ORDERS_DETAIL_SEQ INCREMENT BY 1 MINVALUE 1 MAXVALUE 9999999999999999999999999999 START WITH 21 CACHE 20;
CREATE SEQUENCE SCOTT.ORDERS_SEQ INCREMENT BY 1 MINVALUE 1 MAXVALUE 9999999999999999999999999999 START WITH 21 CACHE 20;
CREATE SEQUENCE SCOTT.ORDER_DETAIL_SEQ INCREMENT BY 1 MINVALUE 1 MAXVALUE 9999999999999999999999999999 START WITH 21 CACHE 20;
CREATE SEQUENCE SCOTT.PRODUCT_SEQ INCREMENT BY 1 MINVALUE 1 MAXVALUE 9999999999999999999999999999 START WITH 21 CACHE 20;
CREATE SEQUENCE SCOTT.QNA_SEQ INCREMENT BY 1 MINVALUE 1 MAXVALUE 9999999999999999999999999999 START WITH 21 CACHE 20;
/* Create Tables */
CREATE TABLE SCOTT.CART
(
CSEQ number(10,0) NOT NULL,
ID varchar2(20 char),
PSEQ number(5,0),
QUANTITY number(5,0) DEFAULT 1,
RESULT char(1 char) DEFAULT '''1''',
INDATE date DEFAULT SYSDATE -- 주문일
,
CONSTRAINT SYS_C007183 PRIMARY KEY (CSEQ)
);
CREATE TABLE SCOTT.MEMBER
(
ID varchar2(20 char) NOT NULL,
PWD varchar2(20 char),
NAME varchar2(40 char),
EMAIL varchar2(40 char),
ADDRESS varchar2(100 char),
PHONE varchar2(20 char),
USEYN char(1 char) DEFAULT '''y''',
INDATE date DEFAULT sysdate
,
ADMIN_YN varchar2(4),
CONSTRAINT SYS_C007161 PRIMARY KEY (ID)
);
CREATE TABLE SCOTT.ORDERS
(
OSEQ number(10,0) NOT NULL,
ID varchar2(20 char),
INDATE date DEFAULT sysdate -- 주문일
,
CONSTRAINT SYS_C007167 PRIMARY KEY (OSEQ)
);
CREATE TABLE SCOTT.ORDER_DETAIL
(
ODSEQ number(10,0) NOT NULL,
OSEQ number(10,0),
PSEQ number(5,0),
QUANTITY number(5,0) DEFAULT 1,
RESULT char(1 char) DEFAULT '''1'' -- 1:미처리 2:처리
',
CONSTRAINT SYS_C007186 PRIMARY KEY (ODSEQ)
);
CREATE TABLE SCOTT.PRODUCT
(
PSEQ number(5,0) NOT NULL,
PTITLE varchar2(100 char),
KIND char(1 char),
AREA varchar2(20),
PRICE number(7,0) DEFAULT '0',
PHONE varchar2(20 char),
PERIOD number(5,0),
CONTENT_SELLER varchar2(4000),
CONTENT_BUYER varchar2(4000 char),
IMAGE varchar2(50 char) DEFAULT '''default.jpg''',
USEYN char(1 char) DEFAULT '''y''',
BESTYN char(1 char) DEFAULT '''n''',
INDATE date DEFAULT sysdate --등록일
,
ID varchar2(20 char) NOT NULL,
CONSTRAINT SYS_C007182 PRIMARY KEY (PSEQ)
);
CREATE TABLE SCOTT.QNA
(
QSEQ number(5,0) NOT NULL,
SUBJECT varchar2(300 char),
CONTENT_BUYER varchar2(4000 char),
REPLY varchar2(1000 char),
ID varchar2(20 char),
REP char(1 char) DEFAULT '''1''',
INDATE date DEFAULT sysdate -- 작성일
,
CONSTRAINT SYS_C007172 PRIMARY KEY (QSEQ)
);
/* Create Views */
CREATE OR REPLACE VIEW SCOTT.BEST_PRO_VIEW AS select pseq, name, price2, image
from( select rownum, pseq, name, price2, image
from product
where bestyn = 'y'
order by indate desc)
where rownum <=4;
CREATE OR REPLACE VIEW SCOTT.CART_VIEW AS select o.cseq, o.id, o.pseq, m.name mname, p.name pname,
o.quantity, o.indate, p.price2, o.result
from cart o, member m, product p
where o.id = m.id and o.pseq = p.pseq
and result = '1';
CREATE OR REPLACE VIEW SCOTT.NEW_PRO_VIEW AS select pseq, name, price2, image
from( select rownum, pseq, name, price2, image
from product
where useyn = 'y'
order by indate desc)
where rownum <=4;
CREATE OR REPLACE VIEW SCOTT.ORDER_VIEW AS select d.odseq odetailseq, o.oseq, o.id, o.indate, d.pseq,d.quantity, m.name mname,
m.zip_num, m.address, m.phone, p.name pname, p.price2, d.result oresult
from orders o, order_detail d, member m, product p
where o.oseq=d.oseq and o.id = m.id and d.pseq = p.pseq;
| true |
44e58d87ef0ae52c2fc006f235afdbfd50a62279 | SQL | aliaksei-arcadia/row-security-policies | /initdb/3_grants.sql | UTF-8 | 453 | 2.65625 | 3 | [] | no_license | GRANT SELECT, UPDATE, INSERT, DELETE ON ALL TABLES IN SCHEMA public TO user1, user2, user_admin, customer3;
GRANT SELECT, USAGE ON ALL SEQUENCES IN SCHEMA public TO user1, user2, user_admin, customer3;
GRANT USAGE ON SCHEMA public TO user1, user2, user_admin, customer3;
ALTER USER user1 SET SEARCH_PATH = public;
ALTER USER user2 SET SEARCH_PATH = public;
ALTER USER user_admin SET SEARCH_PATH = public;
ALTER USER customer3 SET SEARCH_PATH = public; | true |
033c073e2680b9f22c61a9ad27e70a270cb17908 | SQL | PerOxiD692/DB_SQL | /05_SQL_SELECT/05_6b_que_count.sql | UTF-8 | 1,537 | 4.15625 | 4 | [] | no_license | /* QUERIES - COUNT() */
USE user_db;
/* ----- Links / Verweise ----- */
/*
https://dev.mysql.com/doc/refman/5.6/en/counting-rows.html
https://dev.mysql.com/doc/refman/5.6/en/group-by-handling.html
https://dev.mysql.com/doc/refman/5.6/en/aggregate-functions.html#function_count-distinct
*/
/* Welche VERSCHIEDENEN Sektoren gibt es? */
/*
SELECT DISTINCT sector #Zeigt jeden Eintrag nur 1mal (Erstes Auftreten des Eintrags)
FROM ccc_list
ORDER BY sector ASC
LIMIT 20;
*/
/* Wie viele VERSCHIEDENEN Sektoren gibt es? */
/*
SELECT
COUNT(DISTINCT sector) AS "Anzahl Sektoren" #zählt wie viele verschiedene Sektoren es gibt
FROM ccc_list;
*/
/* Wie viele VERSCHIEDENEN Branchen gibt es? */
/*
SELECT
# DISTINCT industry AS "Branchen"
COUNT(DISTINCT industry) AS "Branchen" #zählt wie viele verschiedene Branchen es gibt
FROM ccc_list;
*/
/* Wie viele verschiedene Branchen gibt es in den jeweiligen Industiesektoren?*/
SELECT
sector AS "Industiesektoren", #NICHT aggregiert --> organisch (bereits in der der Tabelle vorhanden)
COUNT(DISTINCT industry) AS "Branchen" #Aggregiert --> durch Funktion entstanden
FROM ccc_list
# WHERE sector LIKE "Consumer%" #Filter in NICHT aggr. Feldern
GROUP BY sector #Bei Kombination von Aggregierten und nicht Aggregierten Tabellen notwendig
HAVING Branchen >10 #Mehr als 10 Branchen pro Sektor
ORDER BY Branchen DESC;
| true |
9b997e321655e87b856dd316c17495ada23c2e05 | SQL | irfandawood/Vocabulary-v5.0 | /cp_ProdV5_tab.sql | UTF-8 | 1,054 | 3.109375 | 3 | [
"Unlicense"
] | permissive | -- Copy all relevant tables from DevV5
create table CONCEPT as select * from v5Dev.CONCEPT;
create table VOCABULARY as select * from v5Dev.VOCABULARY;
create table DOMAIN as select * from v5Dev.DOMAIN;
create table CONCEPT_CLASS as select * from v5Dev.CONCEPT_CLASS;
create table CONCEPT_RELATIONSHIP as select * from v5Dev.CONCEPT_RELATIONSHIP;
create table RELATIONSHIP as select * from v5Dev.RELATIONSHIP;
create table CONCEPT_SYNONYM as select * from v5Dev.CONCEPT_SYNONYM;
create table CONCEPT_ANCESTOR as select * from v5Dev.CONCEPT_ANCESTOR;
create table DRUG_STRENGTH as select * from v5Dev.DRUG_STRENGTH;
create table VOCABULARY_CONVERSION as select * from v5Dev.VOCABULARY_CONVERSION;
alter table CONCEPT add constraint XPK_CONCEPT primary key (CONCEPT_ID);
create index CONCEPT_vocab on CONCEPT (vocabulary_id);
create index CONCEPT_RELATIONSHIP_C_1 on CONCEPT_RELATIONSHIP (concept_id_1);
create index CONCEPT_RELATIONSHIP_C_2 on CONCEPT_RELATIONSHIP (concept_id_2);
create index CONCEPT_SYNONYM_concept on CONCEPT_SYNONYM (concept_id);
| true |
c6adf435d7600859434b16eb1a78cc1f441946a6 | SQL | jinalsapariya/Database-Management-system-for-Online-reservation-system | /all_inserts.sql | UTF-8 | 19,897 | 2.671875 | 3 | [] | no_license | insert into user_address values ('peterborough','boston','MA',56372,'5'),('mass ave','california','CA',56572,'7'),('borivali','mumbai','MH',56982,'8');
insert into place_address values ('peter','boston','MA',56772,1),('columbia','california','CA',58622,2),('malad','mumbai','MH',56992,3),('borivali','delhi','DH',58992,4),('wollus','chicago','CG',56990,5),('allstin','new york','NY',56978,6),('park st','las vegas','LA',56112,7),('symphony','houston','TA',51232,8),('parkerhill','boston','MA',50972,9),('jersey st','dallas','DA',50192,10),('tremont','texas','TA',50902,11),('massachusetts center','boston','MA',50456,12),('newberry','hampshire','NH',50289,13),('gainesville','nashville','OH',52563,14),('german street','madison','FL',58279,15),('cambridge','charlotte','CH',11111,16),('abbey','san jose','sj',56678,17);
insert into place (placename) values ('blaze pizza'),('UHOP'),('tasty burger'),('tea villa'),('tasty food'),('hair salon'),('salon for men'),('one nail'),('embillish salon'),('salon entry'),('event hunger'),('food blogger'),('dance show'),('christmass party'),('haloween part'),('off the clock'),('monthly mingle');
insert into place (placename) values ('blaze');
insert into place (placename) values ('blaze1');
insert into place (placename) values ('blaze2');
insert into place (placename) values ('olive gardern');
insert into place (placename) values ('olive gardern');
insert into restaurant values (0,500,6,'Mexican food');
insert into restaurant values (0,400,7,'french food');
insert into restaurant values (0,400,7,'french food');
insert into restaurant values (0,400,8,'pizza');
insert into restaurant values (0,300,9,'italian food');
delete from restaurant where (Place_idPlace = 9) ;
insert into restaurant values (4,100,1,'italian food'),(3,150,2,'french food'),(5,200,4,'Thai food'),(2,250,5,'Chinese food');
insert into restaurant values (8,500,3,'Mexican food');
insert into salon (service_type,Place_idPlace,email) values ('hair styling, facials',6,'hairsalon@gmail.com'),('facials, hair styling, nails',7,'salon@gamil.com'),('hair styling,facials,make_up,nails',8,'onenail@gmail.com'),('hair styling,facial',9,'embillish.11@gmail.com'),('hair styling,facial,make_up',10,'entry_99@gmail.com');
insert into `Event` values ('The Hunger Group','food',11,'2018-11-15 20:15:00','2018-11-15 22:45:00',200);
insert into `Event` values ('Blogspot','food',12,'2018-03-24 11:20:00','2018-03-24 22:45:00',300);
insert into `Event` values ('Above&Beyond','entertainment',13,'2018-01-11 15:15:00','2018-01-11 22:45:00',250),('The Boston Association','Party',14,'2018-10-15 20:15:00','2018-10-15 22:00:00',100),('Mint Green Club','Party',15,'2018-01-11 20:15:00','2018-01-11 23:15:00',500),('The Non-Profit Center','Business',16,'2018-02-13 15:00:00','2018-02-13 22:45:00',200),('Ballet','classes',17,'2018-11-15 20:15:00','2018-11-15 22:45:00',250);
INSERT INTO `reservation`.`user` (`id`, `firstName`, `lastName`, `role`, `gender`) VALUES ('1', 'Jinal ', 'Sapariya', 'Admin', 'F');
INSERT INTO `reservation`.`user` (`id`, `firstName`, `lastName`, `role`, `gender`) VALUES ('2', 'Saloni', 'Somaiya', 'simple ', 'F');
INSERT INTO `reservation`.`user` (`id`, `firstName`, `lastName`, `role`, `gender`) VALUES ('3', 'Yash', 'Bhavsar ', 'business', 'M');
INSERT INTO `reservation`.`user` (`id`, `firstName`, `lastName`, `role`, `gender`) VALUES ('4 ', 'Manush', 'Patel', 'business', 'M');
INSERT INTO `reservation`.`user` (`id`, `firstName`, `lastName`, `role`, `gender`) VALUES ('5', 'Hetvi', 'shah', 'simple', 'F');
INSERT INTO `reservation`.`user` (`id`, `firstName`, `lastName`, `role`, `gender`) VALUES ('6', 'Jhon', 'Willson', 'business', 'M');
INSERT INTO `reservation`.`user` (`id`, `firstName`, `lastName`, `role`, `gender`) VALUES ('7', 'Shivam', 'Parekh', 'simple', 'M');
INSERT INTO `reservation`.`user` (`id`, `firstName`, `lastName`, `role`, `gender`) VALUES ('8', 'Rose', 'Wattson', 'business', 'F');
INSERT INTO `reservation`.`user` (`id`, `firstName`, `lastName`, `role`, `gender`) VALUES ('9', 'Mark', 'Rodrigues', 'simple', 'M');
INSERT INTO `reservation`.`user` (`id`, `firstName`, `lastName`, `role`, `gender`) VALUES ('10', 'Carole', 'Dsouza', 'simple', 'F');
INSERT INTO orders VALUES (1000,'completed','2018-12-11 02:25:12',2,1);
INSERT INTO orders VALUES (1001,'completed','2017-11-04 01:43:15',5,2);
INSERT INTO orders VALUES (1002,'completed','2017-08-01 05:22:53',7,3);
INSERT INTO orders VALUES (1003,'pending','2018-04-18 05:24:14',9,4);
INSERT INTO orders VALUES (1004,'pending','2017-07-10 03:23:16',10,5);
INSERT INTO orders VALUES (1005,'completed','2017-08-01 03:23:16',5,5);
INSERT INTO orders VALUES (1006,'completed','2017-11-04 03:23:16',10,5);
INSERT INTO orders VALUES (1007,'pending','2017-07-10 03:23:16',7,5);
INSERT INTO orders VALUES (1008,'completed','2017-07-10 03:23:16',2,5);
INSERT INTO orders VALUES (1011,'pending','2017-03-11 03:23:16',2,2);
INSERT INTO orders VALUES (1012,'pending','2017-03-11 03:23:16',2,1);
INSERT INTO orders VALUES (1013,'completed','2017-03-11 03:23:16',2,3);
INSERT INTO orders VALUES (1014,'completed','2017-03-10 03:23:16',2,1);
INSERT INTO orders VALUES (1015,'completed','2017-02-10 03:23:16',2,4);
INSERT INTO orders VALUES (1016,'pending','2017-08-11 03:23:16',2,1);
INSERT INTO orders VALUES (1017,'completed','2017-09-11 03:23:16',10,7);
INSERT INTO orders VALUES (1018,'completed','2017-09-11 03:23:16',9,7);
INSERT INTO orders VALUES (1019,'pending','2017-09-11 03:23:16',7,7);
INSERT INTO orders VALUES (1020,'completed','2017-09-11 03:23:16',5,7);
INSERT INTO orders VALUES (1021,'completed','2017-09-11 06:23:16',5,6);
INSERT INTO orders VALUES (1023,'completed','2017-09-11 06:23:16',9,6);
INSERT INTO orders VALUES (1024,'completed','2017-09-11 06:23:16',9,6);
SET SQL_SAFE_UPDATES = 0;
INSERT INTO menu_item VALUES ('risotto','Risotto is a northern Italian rice dish cooked in a broth to a creamy consistency',48,'100A',1);
INSERT INTO menu_item VALUES ('Carbonara','Carbonara is an Italian pasta dish from Rome made with egg, hard cheese, guanciale, and pepper.',53,'101A',1);
INSERT INTO menu_item VALUES ('pizza','Pizza is a savory dish of Italian origin, consisting of a usually round, flattened base of leavened wheat-based dough topped with tomatoes, and cheese',20,'102A',1);
INSERT INTO menu_item VALUES ('Spaghetti','Spaghetti aglio e olio is a traditional Italian pasta dish from Naples. The dish is made by lightly sauteeing sliced, minced, or pressed garlic in olive oil',58,'103A',1);
INSERT INTO menu_item VALUES ('Cinnamon Apple Bostock',' Bostock is a sweet and crunchy breakfast pastry with roots in Normandy.',45,'11B',2);
INSERT INTO menu_item VALUES ('Pain au chocolat','Beautiful homemade croissants, each containing a bar of high-quality dark chocolate.',30,'12C',2);
INSERT INTO menu_item VALUES ('Soupe à l oignon','This is a traditional French soup made of onions and beef stock, usually served with croutons and melted cheese on top.',35,'13C',2);
INSERT INTO menu_item VALUES ('Cassoulet','Cassoulet is a rich, slow-cooked casserole containing meat, pork skin and white beans.',23,'14C',2);
INSERT INTO menu_item VALUES ('Tamale','A tamale is a traditional Mesoamerican dish made of masa or dough',59,'10H',3);
INSERT INTO menu_item VALUES ('Enchilada','An enchilada is a corn tortilla rolled around a filling and covered with a chili pepper sauce.',86,'10I',3);
INSERT INTO menu_item VALUES ('Pad Thai','Pad thai, or phad thai, is a stir-fried rice noodle dish commonly served as a street food',50,'2A',4);
INSERT INTO menu_item VALUES ('Massaman curry','Massaman curry is a rich, relatively mild Thai curry',66,'2B',4);
INSERT INTO menu_item VALUES ('Tom yum','Tom yum or tom yam is a type of hot and sour Thai soup, usually cooked with shrimp',44,'2C',4);
INSERT INTO menu_item VALUES ('Hot and Sour Soup','Hot and sour soup is a variety of soups from several Asian culinary traditions.',30,'30A',5);
INSERT INTO menu_item VALUES ('Chow mein','Chow mein are Chinese stir-fried noodles, the name being the romanization of the Taishanese chāu-mèing.',49,'30B',5);
INSERT INTO menu_item VALUES ('Fried rice','ingredients such as eggs, vegetables, seafood, or meat. ',40,'30C',5);
INSERT INTO menu_item VALUES ('sour soup',' sour soup is a variety of soups from several Asian culinary traditions. ',40,'31C',4);
INSERT INTO menu_item VALUES ('soup','soup is a variety of soups from several Asian culinary traditions. ',40,'32C',6);
INSERT INTO order_items VALUES (1,3,'100A',1000);
INSERT INTO order_items VALUES (2,2,'101A',1000);
INSERT INTO order_items VALUES (3,1,'103A',1000);
INSERT INTO order_items VALUES (4,1,'10H',1002);
INSERT INTO order_items VALUES (5,2,'10I',1002);
INSERT INTO order_items VALUES (6,3,'10I',1002);
INSERT INTO order_items VALUES (7,10,'10I',1002);
INSERT INTO order_items VALUES (8,7,'10J',1002);
INSERT INTO order_items VALUES (9,6,'12C',1001);
INSERT INTO order_items VALUES (10,3,'13C',1001);
INSERT INTO order_items VALUES (11,1,'2A',1003);
INSERT INTO order_items VALUES (12,4,'2B',1003);
INSERT INTO order_items VALUES (13,8,'2C',1003);
INSERT INTO order_items VALUES (14,1,'30A',1004);
INSERT INTO order_items VALUES (15,3,'30B',1004);
INSERT INTO order_items VALUES (16,6,'30C',1004);
INSERT INTO order_items VALUES (17,6,'31C',1005);
INSERT INTO order_items VALUES (18,6,'32C',1006);
INSERT INTO order_items VALUES (19,6,'32C',1007);
INSERT INTO order_items VALUES (20,6,'34C',1008);
INSERT INTO order_items VALUES (21,5,'35C',1009);
INSERT INTO order_items VALUES (22,6,'36C',1010);
INSERT INTO order_items VALUES (23,7,'37C',1011);
INSERT INTO order_items VALUES (24,6,'38C',1012);
INSERT INTO order_items VALUES (25,9,'39C',1013);
INSERT INTO order_items VALUES (26,3,'40C',1014);
INSERT INTO order_items VALUES (27,1,'41C',1015);
INSERT INTO order_items VALUES (28,6,'42C',1016);
INSERT INTO order_items VALUES (29,6,'43C',1017);
INSERT INTO order_items VALUES (30,6,'44C',1018);
INSERT INTO order_items VALUES (31,6,'45C',1019);
INSERT INTO order_items VALUES (32,6,'46C',1020);
INSERT INTO order_items VALUES (33,6,'47C',1021);
INSERT INTO order_items VALUES (34,6,'48C',1023);
INSERT INTO order_items VALUES (35,6,'49C',1024);
INSERT INTO order_items VALUES (36,1,'31C',1024);
INSERT INTO order_items VALUES (37,1,'31C',1024);
INSERT INTO order_items VALUES (38,1,'31C',1024);
INSERT INTO order_items VALUES (39,1,'31C',1024);
INSERT INTO order_items VALUES (40,1,'31C',1024);
INSERT INTO order_items VALUES (41,1,'31C',1024);
INSERT INTO order_items VALUES (42,1,'31C',1024);
INSERT INTO reservation_event VALUES (2000,'2018-10-15 22:00:00',10,2,11);
INSERT INTO reservation_event VALUES (2001,'2018-02-15 22:00:00',07,5,12);
INSERT INTO reservation_event VALUES (2002,'2018-01-09 22:00:00',10,7,13);
INSERT INTO reservation_event VALUES (2003,'2018-09-15 22:00:00',11,9,14);
INSERT INTO reservation_event VALUES (2004,'2018-01-08 22:00:00',13,10,15);
INSERT INTO reservation_event VALUES (2005,'2018-01-15 22:00:00',19,3,16);
INSERT INTO reservation_event VALUES (2006,'2018-10-15 22:00:00',19,5,17);
INSERT INTO reservation_event VALUES (2007,'2018-10-15 22:00:00',19,7,16);
INSERT INTO reservation_event VALUES (2008,'2018-10-15 22:00:00',19,2,13);
INSERT INTO review (star,description,user_id,Place_idPlace) VALUES (4,'good',2,1);
INSERT INTO review (star,description,user_id,Place_idPlace) VALUES (3,'Average',5,2);
INSERT INTO review (star,description,user_id,Place_idPlace) VALUES (5,'Excellent',7,3);
INSERT INTO review (star,description,user_id,Place_idPlace) VALUES (2,'bad',9,4);
INSERT INTO review (star,description,user_id,Place_idPlace) VALUES (3,'Average',2,5);
INSERT INTO review (star,description,user_id,Place_idPlace) VALUES (4,'good',5,6);
INSERT INTO review (star,description,user_id,Place_idPlace) VALUES (5,'Excellent',9,7);
INSERT INTO review (star,description,user_id,Place_idPlace) VALUES (3,'Average',10,8);
INSERT INTO review (star,description,user_id,Place_idPlace) VALUES (4,'good',9,9);
INSERT INTO review (star,description,user_id,Place_idPlace) VALUES (2,'bad',7,10);
INSERT INTO review (star,description,user_id,Place_idPlace) VALUES (5,'Excellent',5,11);
INSERT INTO review (star,description,user_id,Place_idPlace) VALUES (3,'Average',2,12);
INSERT INTO review (star,description,user_id,Place_idPlace) VALUES (4,'good',9,13);
INSERT INTO review (star,description,user_id,Place_idPlace) VALUES (2,'bad',7,14);
INSERT INTO review (star,description,user_id,Place_idPlace) VALUES (5,'Excellent',10,15);
INSERT INTO review (star,description,user_id,Place_idPlace) VALUES (4,'good',2,16);
INSERT INTO review (star,description,user_id,Place_idPlace) VALUES (3,'Average',3,17);
INSERT INTO review (star,description,user_id,Place_idPlace) VALUES (2,'bad',4,11);
INSERT INTO review (star,description,user_id,Place_idPlace) VALUES (5,'Excellent',5,12);
INSERT INTO review (star,description,user_id,Place_idPlace) VALUES (5,'Excellent',7,5);
INSERT INTO review (star,description,user_id,Place_idPlace) VALUES (4,'good',9,5);
INSERT INTO review (star,description,user_id,Place_idPlace) VALUES (4,'good',5,8);
INSERT INTO review (star,description,user_id,Place_idPlace) VALUES (3,'bad',10,6);
INSERT INTO `reservation`.`role` (`role_id`, `role_type`) VALUES ('1', 'Admin');
INSERT INTO `reservation`.`role` (`role_id`, `role_type`) VALUES ('2', 'Business');
INSERT INTO `reservation`.`role` (`role_id`, `role_type`) VALUES ('3', 'Simple');
INSERT INTO `reservation`.`user` (`id`, `firstName`, `lastName`, `gender`, `role_role_id`) VALUES ('1', 'Jinal', 'Sapariya', 'F', '1');
INSERT INTO `reservation`.`user` (`id`, `firstName`, `lastName`, `gender`, `role_role_id`) VALUES ('2', 'Hetvi', 'Mehta', 'F', '3');
INSERT INTO `reservation`.`user` (`id`, `firstName`, `lastName`, `gender`, `role_role_id`) VALUES ('3', 'Yash ', 'Bhavsar', 'M', '2');
INSERT INTO `reservation`.`user` (`id`, `firstName`, `lastName`, `gender`, `role_role_id`) VALUES ('4', 'Saloni', 'Somaiya', 'F', '2');
INSERT INTO `reservation`.`user` (`id`, `firstName`, `lastName`, `gender`, `role_role_id`) VALUES ('5', 'Manush', 'Patel', 'M', '3');
INSERT INTO `reservation`.`user` (`id`, `firstName`, `lastName`, `gender`, `role_role_id`) VALUES ('6', 'Shweta', 'Shah', 'F', '2');
INSERT INTO `reservation`.`user` (`id`, `firstName`, `lastName`, `gender`, `role_role_id`) VALUES ('7', 'kinjal', 'Jivani', 'F', '3');
INSERT INTO `reservation`.`user` (`id`, `firstName`, `lastName`, `gender`, `role_role_id`) VALUES ('8', 'John', 'Rodrigues', 'M', '2');
INSERT INTO `reservation`.`user` (`id`, `firstName`, `lastName`, `gender`, `role_role_id`) VALUES ('9', 'Akkshay', 'Choksi', 'M', '3');
INSERT INTO `reservation`.`user` (`id`, `firstName`, `lastName`, `gender`, `role_role_id`) VALUES ('10', 'Rose', 'Wallston', 'F', '3');
INSERT INTO `reservation`.`service_type` (`idservice_type`, `type`) VALUES ('1', 'Hairstyling');
INSERT INTO `reservation`.`service_type` (`idservice_type`, `type`) VALUES ('2', 'Nail');
INSERT INTO `reservation`.`service_type` (`idservice_type`, `type`) VALUES ('3', 'Facial');
INSERT INTO `reservation`.`service_type` (`idservice_type`, `type`) VALUES ('4', 'Make Up');
INSERT INTO `reservation`.`salon` (`Place_idPlace`, `email`, `service_type_idservice_type`) VALUES ('6', 'abc@gmail.com', '1');
INSERT INTO `reservation`.`salon` (`Place_idPlace`, `email`, `service_type_idservice_type`) VALUES ('7', 'hji@gmail.com', '1');
INSERT INTO `reservation`.`salon` (`Place_idPlace`, `email`, `service_type_idservice_type`) VALUES ('8', 'jki@gmail.com', '3');
INSERT INTO `reservation`.`salon` (`Place_idPlace`, `email`, `service_type_idservice_type`) VALUES ('9', 'lik@gmail.com', '4');
INSERT INTO `reservation`.`salon` (`Place_idPlace`, `email`, `service_type_idservice_type`) VALUES ('10 ', 'wed@gmail.com', '3');
INSERT INTO `reservation`.`service_list` (`service_name`, `description`, `price`, `id`, `Salon_Place_idPlace`) VALUES ('All type of haircut', 'different types of haircut', '200', 1, 6);
INSERT INTO `reservation`.`service_list` (`service_name`, `description`, `price`, `id`, `Salon_Place_idPlace`) VALUES ('fancy haircut', 'specialized type of haircut', '300', 2, 7);
INSERT INTO `reservation`.`service_list` (`service_name`, `description`, `price`, `id`, `Salon_Place_idPlace`) VALUES ('Gold facial', 'facial which enriches your skin with glow', '350', 3, 8);
INSERT INTO `reservation`.`service_list` (`service_name`, `description`, `price`, `id`, `Salon_Place_idPlace`) VALUES ('party make up', 'Bold party make up ', '250', 4, 9);
INSERT INTO `reservation`.`service_list` (`service_name`, `description`, `price`, `id`, `Salon_Place_idPlace`) VALUES ('multivitamin facial ', 'facial with vitamins like A,C,D', '200', 5,10);
INSERT INTO `reservation`.`reservations_salon` (`id`, `date`, `start_time`, `end_time`, `capacity`, `user_id`, `Salon_Place_idPlace`) VALUES ('2', '2018-10-05', '2018-10-05 02:20:00', '2018-10-05 04:30:00', '1', '5', '7');
INSERT INTO `reservation`.`reservations_salon` (`id`, `date`, `start_time`, `end_time`, `capacity`, `user_id`, `Salon_Place_idPlace`) VALUES ('3', '2018-09-02', '2018-09-02 02:20:00', '2018-09-02 04:30:00', '3', '7', '8');
INSERT INTO `reservation`.`reservations_salon` (`id`, `date`, `start_time`, `end_time`, `capacity`, `user_id`, `Salon_Place_idPlace`) VALUES ('4', '2018-08-03', '2018-08-03 02:20:00', '2018-08-03 04:30:00', '4', '9', '9');
INSERT INTO `reservation`.`reservations_salon` (`id`, `date`, `start_time`, `end_time`, `capacity`, `user_id`, `Salon_Place_idPlace`) VALUES ('5', '2018-08-04', '2018-08-04 02:20:00', '2018-08-04 04:30:00', '2', '10', '10');
INSERT INTO `reservation`.`reservations_salon` (`id`, `date`, `start_time`, `end_time`, `capacity`, `user_id`, `Salon_Place_idPlace`) VALUES ('6', '2018-02-05', '2018-02-05 02:20:00', '2018-02-05 04:30:00', '1', '7', '7');
INSERT INTO `reservation`.`reservations_salon` (`id`, `date`, `start_time`, `end_time`, `capacity`, `user_id`, `Salon_Place_idPlace`) VALUES ('7', '2018-07-03', '2018-07-03 02:20:00', '2018-07-03 04:30:00', '3', '5', '8');
INSERT INTO `reservation`.`sessions` (`id`, `service_list_id`, `reservations_salon_id`, `no_of_services`) VALUES ('400', '1', '1', '2');
INSERT INTO `reservation`.`sessions` (`id`, `service_list_id`, `reservations_salon_id`, `no_of_services`) VALUES ('401', '2', '2', '3');
INSERT INTO `reservation`.`sessions` (`id`, `service_list_id`, `reservations_salon_id`, `no_of_services`) VALUES ('403', '3', '3', '2');
INSERT INTO `reservation`.`sessions` (`id`, `service_list_id`, `reservations_salon_id`, `no_of_services`) VALUES ('404', '4', '4', '1');
INSERT INTO `reservation`.`sessions` (`id`, `service_list_id`, `reservations_salon_id`, `no_of_services`) VALUES ('405', '5', '6', '1');
select * from `user`;
select * from `user_address`;
select * from `place`;
select * from `place_address`;
select * from `restaurant`;
select * from `salon`;
select * from `event`;
select * from `menu_item`;
select * from `order_items`;
select * from `orders`;
select * from `reservation_event`;
select * from `reservations_salon`;
select * from `review`;
select * from `role`;
select * from `service_list`;
select * from `service_type`;
select * from `sessions`;
UPDATE `reservation`.`user` SET `user_level` = 'silver' WHERE (`id` = '2');
UPDATE `reservation`.`user` SET `user_level` = 'silver' WHERE (`id` = '5');
UPDATE `reservation`.`user` SET `user_level` = 'silver' WHERE (`id` = '7');
UPDATE `reservation`.`user` SET `user_level` = 'silver' WHERE (`id` = '9');
UPDATE `reservation`.`user` SET `user_level` = 'silver' WHERE (`id` = '10');
INSERT INTO `reservation`.`user` (`id`, `firstName`, `lastName`, `gender`, `role_role_id`, `user_level`) VALUES ('11', 'ojas', 'patwardhan', 'M', '3', 'silver');
update `reservation.user`
delete from orders where (restaurant_Place_idPlace = 6 AND restaurant_Place_idPlace = 7);
SET FOREIGN_KEY_CHECKS = 0 ;
select * from order_items; | true |
d8033ad48b6c9e391fa11921d29e0b5927876483 | SQL | GLAMOS/database | /src/CREATE/glacier_hazards/CREATE_geometries.sql | UTF-8 | 685 | 3.140625 | 3 | [] | no_license | /* ---------------------------------------------------- */
/* Generated by Elias Hodel */
/* Created On : 21.02.2020 */
/* DBMS : PostgreSQL, GLAMOS-DB */
/* ---------------------------------------------------- */
DROP TABLE IF EXISTS glacier_hazard.geometries CASCADE
;
/* Create Tables */
CREATE TABLE glacier_hazard.geometries
(
pk uuid NOT NULL,
geom geometry(LINESTRING, 4326) NOT NULL,
symbology smallint
);
/* Create Primary Keys, Indexes, Uniques, Checks */
ALTER TABLE glacier_hazard.geometries ADD CONSTRAINT pk_geometries
PRIMARY KEY (pk);
ALTER TABLE glacier_hazard.geometries
ADD CONSTRAINT uq_geometries_pk UNIQUE (pk); | true |
beb68d5be457aa3b9076c2f8b7feec0be838b8e6 | SQL | commoncrawl/cc-index-table | /src/sql/examples/cc-index/similar-domains.sql | UTF-8 | 698 | 3.78125 | 4 | [
"Apache-2.0"
] | permissive | -- find similar domains
-- - Levenshtein distance to wikipedia.* is 2 or less
-- - play on words, accidental similarity,
-- parked domain, phishing site? ...
--
SELECT COUNT(*) AS n_pages,
COUNT(DISTINCT(url_host_name)) as n_hosts,
levenshtein_distance('wikipedia', url_host_2nd_last_part) AS levenshtein,
url_host_tld AS tld,
url_host_2nd_last_part AS host_2nd_last_part,
url_host_registered_domain AS domain
FROM "ccindex"."ccindex"
WHERE crawl = 'CC-MAIN-2018-05'
AND subset = 'warc'
AND (levenshtein_distance('wikipedia', url_host_2nd_last_part) <= 2)
GROUP BY url_host_tld, url_host_2nd_last_part, url_host_registered_domain
ORDER BY n_pages DESC;
| true |
adbb7e296ac80a79774b1c72298b85623540aa20 | SQL | matheussampaio/sig | /consultas/consulta02.sql | UTF-8 | 275 | 3.25 | 3 | [
"MIT"
] | permissive | /* 2- Qual o comprimento da rodovia 'PB-008'? (Distancia convertida em KM)*/
SELECT rodovias.codrodov AS nome, sum(st_length(ST_Transform(rodovias.geom, 29195))) / 1000 AS comprimento
FROM sig.rodovias rodovias
WHERE rodovias.codrodov = 'PB-008' GROUP BY rodovias.codrodov | true |
fc1501914b37e60e83b1284657e5d79dd0fbb930 | SQL | TDoraX/Alibaba-Site-Project | /SQL/ali1688.sql | UTF-8 | 7,150 | 2.734375 | 3 | [
"MIT"
] | permissive | -- phpMyAdmin SQL Dump
-- version 4.8.4
-- https://www.phpmyadmin.net/
--
-- 主机： localhost
-- 生成日期： 2019-03-01 04:26:31
-- 服务器版本： 10.1.37-MariaDB
-- PHP 版本： 7.3.1
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 */;
--
-- 数据库： `ali1688`
--
-- --------------------------------------------------------
--
-- 表的结构 `itemDetail`
--
CREATE TABLE `itemDetail` (
`sid` tinyint(2) UNSIGNED NOT NULL,
`img` varchar(100) NOT NULL COMMENT 'Url of the image',
`title` varchar(50) NOT NULL COMMENT 'Title of the item',
`price` float(8,2) UNSIGNED NOT NULL,
`salenum` int(11) NOT NULL,
`comment` int(7) UNSIGNED NOT NULL COMMENT 'Comment count',
`shopid` int(3) UNSIGNED NOT NULL COMMENT 'Shop ID number',
`pics` varchar(600) CHARACTER SET utf16 NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- 转存表中的数据 `itemDetail`
--
INSERT INTO `itemDetail` (`sid`, `img`, `title`, `price`, `salenum`, `comment`, `shopid`, `pics`) VALUES
(1, 'https://cbu01.alicdn.com/img/ibank/2019/589/008/10385800985_698237852.jpg_220x220q75.jpg_.webp', '2-12 春季新款 高帮低帮情侣款休闲帆布鞋', 148.00, 2084, 6, 1, 'https://cbu01.alicdn.com/img/ibank/2019/589/008/10385800985_698237852.60x60.jpg'),
(2, 'https://cbu01.alicdn.com/img/ibank/2018/612/081/9639180216_1801144101.jpg_220x220q75.jpg_.webp', '现货1970s三星标女鞋川久保玲爱心联名高帮低帮男女帆布鞋150204C', 168.00, 38, 0, 2, 'https://cbu01.alicdn.com/img/ibank/2018/612/081/9639180216_1801144101.400x400.jpg,https://cbu01.alicdn.com/img/ibank/2018/115/140/9687041511_1801144101.400x400.jpg,https://cbu01.alicdn.com/img/ibank/2018/224/212/9665212422_1801144101.400x400.jpg,https://cbu01.alicdn.com/img/ibank/2018/161/891/9639198161_1801144101.400x400.jpg,https://cbu01.alicdn.com/img/ibank/2018/433/812/9665218334_1801144101.400x400.jpg'),
(3, 'https://cbu01.alicdn.com/img/ibank/2018/297/708/9189807792_683574336.jpg_220x220q75.jpg_.webp', '圣诞情人节装饰网红爆款手柄带杆带托发光闪灯LED18寸波波球批发', 4.61, 19664, 113, 3, 'https://cbu01.alicdn.com/img/ibank/2018/297/708/9189807792_683574336.400x400.jpg,https://cbu01.alicdn.com/img/ibank/2017/436/741/7695147634_683574336.400x400.jpg,https://cbu01.alicdn.com/img/ibank/2017/326/190/7707091623_683574336.400x400.jpg,https://cbu01.alicdn.com/img/ibank/2017/225/096/7753690522_683574336.400x400.jpg,https://cbu01.alicdn.com/img/ibank/2018/717/172/9138271717_683574336.400x400.jpg'),
(4, 'https://cbu01.alicdn.com/img/ibank/2019/338/801/10354108833_1644326949.jpg_220x220q75.jpg_.webp', '甜美可爱原创ins森系公主风手钏女兔子粉灰串珠手链复古手工手串', 9.60, 32, 0, 4, 'https://cbu01.alicdn.com/img/ibank/2019/338/801/10354108833_1644326949.400x400.jpg,https://cbu01.alicdn.com/img/ibank/2019/256/764/10327467652_1644326949.400x400.jpg,https://cbu01.alicdn.com/img/ibank/2019/553/014/10380410355_1644326949.400x400.jpg,https://cbu01.alicdn.com/img/ibank/2019/647/104/10380401746_1644326949.400x400.jpg,https://cbu01.alicdn.com/img/ibank/2019/846/921/10354129648_1644326949.400x400.jpg'),
(5, 'https://cbu01.alicdn.com/img/ibank/2018/409/951/9558159904_1371697687.jpg', '厂家直销新款温感电动硅胶洁面仪防水便携硅胶洗脸刷定制可贴牌', 139.00, 0, 0, 5, 'https://cbu01.alicdn.com/img/ibank/2018/323/055/9582550323_1371697687.400x400.jpg,https://cbu01.alicdn.com/img/ibank/2018/379/051/9558150973_1371697687.400x400.jpg,https://cbu01.alicdn.com/img/ibank/2018/304/814/9604418403_1371697687.400x400.jpg,https://cbu01.alicdn.com/img/ibank/2018/049/283/9604382940_1371697687.400x400.jpg'),
(6, 'https://cbu01.alicdn.com/img/ibank/2018/040/085/9819580040_249098651.400x400.jpg', '打包纸箱3-12号快递盒3层五层邮政纸盒批发定做纸箱子飞机盒纸箱', 0.14, 733215, 7864, 6, 'https://cbu01.alicdn.com/img/ibank/2018/040/085/9819580040_249098651.60x60.jpg'),
(7, 'https://cbu01.alicdn.com/img/ibank/2018/759/403/9464304957_405245767.400x400.jpg', '027现货2018年秋冬季新款经典时尚休闲简约百搭情侣卫衣', 90.00, 3, 0, 7, 'https://cbu01.alicdn.com/img/ibank/2018/400/641/9488146004_405245767.60x60.jpg,https://cbu01.alicdn.com/img/ibank/2018/581/131/9488131185_405245767.60x60.jpg'),
(8, 'https://cbu01.alicdn.com/img/ibank/2018/055/449/10183944550_877420566.400x400.jpg', '喷钱枪Supreme Money Gun美金枪 喷钱枪玩具射钱 钞票枪 玩具枪', 18.20, 171, 49, 8, 'https://cbu01.alicdn.com/img/ibank/2017/306/473/4673374603_877420566.60x60.jpg,https://cbu01.alicdn.com/img/ibank/2017/135/778/4672877531_877420566.60x60.jpg'),
(9, 'https://cbu01.alicdn.com/img/ibank/2018/855/231/8940132558_1396424131.400x400.jpg', '信封黄色牛皮纸信封 工资袋 增值税发票信封白色信封定制定做', 0.01, 1400701, 727, 9, 'https://cbu01.alicdn.com/img/ibank/2018/855/231/8940132558_1396424131.60x60.jpg,https://cbu01.alicdn.com/img/ibank/2018/685/921/8940129586_1396424131.60x60.jpg'),
(10, 'https://cbu01.alicdn.com/img/ibank/2019/406/714/10425417604_115409117.400x400.jpg', '【明星同款】超人气单品 韩版百搭遮阳帽 LH棒球帽鸭舌帽', 25.00, 30, 0, 10, 'https://cbu01.alicdn.com/img/ibank/2019/042/744/10425447240_115409117.60x60.jpg'),
(11, 'https://cbu01.alicdn.com/img/ibank/2019/329/954/10425459923_115409117.400x400.jpg', '【一件包邮 明星同款】韩版原宿风格 明星单品LIVE棒球帽鸭舌帽', 25.00, 46, 0, 10, 'https://cbu01.alicdn.com/img/ibank/2019/275/319/10477913572_115409117.60x60.jpg,'),
(12, 'https://cbu01.alicdn.com/img/ibank/2019/023/374/10381473320_115409117.400x400.jpg', '【抖音爆款】 遇水开花雨伞 晴雨两用遮阳伞', 50.00, 225, 0, 10, 'https://cbu01.alicdn.com/img/ibank/2019/023/374/10381473320_115409117.60x60.jpg,https://cbu01.alicdn.com/img/ibank/2019/101/284/10381482101_115409117.60x60.jpg,https://cbu01.alicdn.com/img/ibank/2019/495/134/10434431594_115409117.60x60.jpg'),
(13, 'https://cbu01.alicdn.com/img/ibank/2019/259/065/10381560952_115409117.400x400.jpg', '【网红爆款】【】chic 韩版百搭双面戴盆帽 两面渔夫帽', 42.00, 189, 2, 10, 'https://cbu01.alicdn.com/img/ibank/2019/259/065/10381560952_115409117.60x60.jpg,https://cbu01.alicdn.com/img/ibank/2019/362/135/10408531263_115409117.60x60.jpg');
--
-- 转储表的索引
--
--
-- 表的索引 `itemDetail`
--
ALTER TABLE `itemDetail`
ADD PRIMARY KEY (`sid`),
ADD UNIQUE KEY `sid` (`sid`);
--
-- 在导出的表使用AUTO_INCREMENT
--
--
-- 使用表AUTO_INCREMENT `itemDetail`
--
ALTER TABLE `itemDetail`
MODIFY `sid` tinyint(2) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=14;
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 */;
| true |
3b6cccd1be4e4c6a19e3bb38987435f3fc9af075 | SQL | ImpassiveSensor/Online-Lawyer-Finder | /site1/lawyerSearching.sql | UTF-8 | 967 | 3.09375 | 3 | [] | no_license | clear screen;
SET SERVEROUTPUT ON;
SET VERIFY OFF;
drop table newTable;
create table newTable as
select * from lawyer
union
select * from lawyer@site1;
create or replace view myView(ID, NAME, PERCENTAGE, Sector, AREA) as
select L_id, lawyer_name, percentage, lawyer_type, lawyer_address
from newTable order by percentage desc;
begin
DBMS_OUTPUT.PUT_LINE('TOP 5 LAWYERS OF OUR COMPANY');
end;
/
select NAME, Sector, PERCENTAGE, AREA from myview where rownum <= 5;
accept Y char prompt "Enter Type = "
declare
lType lawyer.lawyer_type%type;
a int;
begin
lType := '&Y';
DBMS_OUTPUT.PUT_LINE('The '||lType||' types lawyers are : ');
for i in (select ID, NAME, PERCENTAGE, AREA from myview where Sector like lType order by PERCENTAGE desc) loop
DBMS_OUTPUT.PUT_LINE('ID: '||i.ID||' Name: '||i.NAME||' Percentage: '||i.PERCENTAGE||' Area: '||i.AREA);
end loop;
end;
/
commit;
@"D:\C\Semester 4.1\Distributed Database\Lab\Lab- 5\sendingRequest.sql" | true |
0bc601a22f97ae6dc318f670e05429724a6f30c0 | SQL | light9707/Java- | /Ibatis简单验证用户登录/shopdb.sql | UTF-8 | 4,221 | 3.28125 | 3 | [] | no_license | /*
SQLyog Ultimate v11.42 (64 bit)
MySQL - 5.6.42 : Database - shopdb
*********************************************************************
*/
/*!40101 SET NAMES utf8 */;
/*!40101 SET SQL_MODE=''*/;
/*!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 */;
CREATE DATABASE /*!32312 IF NOT EXISTS*/`shopdb` /*!40100 DEFAULT CHARACTER SET utf8 */;
USE `shopdb`;
/*Table structure for table `ec_article` */
DROP TABLE IF EXISTS `ec_article`;
CREATE TABLE `ec_article` (
`ID` int(11) NOT NULL AUTO_INCREMENT,
`TYPE_CODE` varchar(100) DEFAULT NULL,
`TITLE` varchar(200) DEFAULT NULL,
`SUPPLIER` varchar(20) DEFAULT NULL,
`PRICE` double DEFAULT NULL,
`DISCOUNT` double DEFAULT NULL,
`LOCALITY` varchar(300) DEFAULT NULL,
`PUTAWAY_DATE` datetime DEFAULT NULL,
`STORAGE` int(11) DEFAULT '100',
`IMAGE` varchar(200) DEFAULT NULL,
`DESCRIPTION` varchar(500) DEFAULT NULL,
`CREATE_DATE` datetime DEFAULT NULL,
`DISABLED` tinyint(1) DEFAULT '0',
PRIMARY KEY (`ID`),
KEY `FK_ARTICLE_TYPE` (`TYPE_CODE`),
CONSTRAINT `FK_ARTICLE_TYPE` FOREIGN KEY (`TYPE_CODE`) REFERENCES `ec_article_type` (`CODE`)
) ENGINE=InnoDB AUTO_INCREMENT=46 DEFAULT CHARSET=utf8;
/*Data for the table `ec_article` */
insert into `ec_article`(`ID`,`TYPE_CODE`,`TITLE`,`SUPPLIER`,`PRICE`,`DISCOUNT`,`LOCALITY`,`PUTAWAY_DATE`,`STORAGE`,`IMAGE`,`DESCRIPTION`,`CREATE_DATE`,`DISABLED`) values (1,'00010001','各类用瓶','',108,0.7,'','0000-00-00 00:00:00',100,'','','0000-00-00 00:00:00',0),(2,'00010001','各类物品','',58,0.7,'','0000-00-00 00:00:00',100,'','','0000-00-00 00:00:00',0),(3,'00010001','各类需求','',118,0.7,'','0000-00-00 00:00:00',100,'','','0000-00-00 00:00:00',0);
/*Table structure for table `ec_article_type` */
DROP TABLE IF EXISTS `ec_article_type`;
CREATE TABLE `ec_article_type` (
`CODE` varchar(100) NOT NULL,
`NAME` varchar(50) DEFAULT NULL,
`REMARK` varchar(200) DEFAULT NULL,
PRIMARY KEY (`CODE`),
UNIQUE KEY `NAME` (`NAME`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*Data for the table `ec_article_type` */
insert into `ec_article_type`(`CODE`,`NAME`,`REMARK`) values ('0001','客户需求',''),('00010001','----物品派送（远）',''),('00010002','----代购',''),('00010003','----代拿快递',''),('0003','Vip服务',''),('00030001','----代写论文',''),('00030002','----代考',''),('00030003','----中性香水','中性香水');
/*Table structure for table `ec_user` */
DROP TABLE IF EXISTS `ec_user`;
CREATE TABLE `ec_user` (
`ID` int(11) NOT NULL AUTO_INCREMENT,
`LOGIN_NAME` varchar(50) DEFAULT NULL,
`PASSWORD` varchar(50) DEFAULT NULL,
`NAME` varchar(50) DEFAULT NULL,
`SEX` int(11) DEFAULT '1',
`EMAIL` varchar(50) DEFAULT NULL,
`PHONE` varchar(20) DEFAULT NULL,
`ADDRESS` varchar(255) DEFAULT NULL,
`ROLE` int(11) DEFAULT '1',
`CREATE_DATE` datetime DEFAULT NULL,
`DISABLED` tinyint(1) DEFAULT '0',
`ACTIVE` varchar(255) DEFAULT NULL,
PRIMARY KEY (`ID`),
UNIQUE KEY `LOGIN_NAME` (`LOGIN_NAME`)
) ENGINE=InnoDB AUTO_INCREMENT=10 DEFAULT CHARSET=utf8;
/*Data for the table `ec_user` */
insert into `ec_user`(`ID`,`LOGIN_NAME`,`PASSWORD`,`NAME`,`SEX`,`EMAIL`,`PHONE`,`ADDRESS`,`ROLE`,`CREATE_DATE`,`DISABLED`,`ACTIVE`) values (1,'admin','123456','管理员',1,'test@163.com','18998665678','珠江新城',2,'2017-10-25 15:44:11',1,NULL),(2,'test1','123456','张大林',1,'test1@163.com','13487890989','天河车陂',1,'2017-10-25 15:44:11',1,NULL),(7,'test5','2222','test',3,'10923@qq.com','13629233728','广州',1,'2018-03-03 11:42:30',0,NULL),(8,'test6','2222','test',3,'10923@qq.com','13629233728','广州',1,'2018-03-03 11:42:49',0,NULL),(9,'last','2222','test',3,'10923@qq.com','13629233728','广州',1,'2018-03-03 13:25:52',0,NULL);
/*!40101 SET SQL_MODE=@OLD_SQL_MODE */;
/*!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS */;
/*!40014 SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS */;
/*!40111 SET SQL_NOTES=@OLD_SQL_NOTES */;
| true |
cca74dca94a7c5006fb1241ae3e3841df4f92652 | SQL | amitpriyasingh/Boutiqaat | /boutiqaat-etl-master/firebase/queries/redshift/item_listing_impressions_load.sql | UTF-8 | 1,158 | 3.203125 | 3 | [] | no_license | {% set FDATE = "{}-{}-{}".format(DATE[:4], DATE[4:6], DATE[6:]) %}
DROP TABLE IF EXISTS tmp_item_listing_impressions;
CREATE TEMP TABLE tmp_item_listing_impressions(
app_version VARCHAR(10),
event_name VARCHAR(50),
session_id INTEGER,
ga_session_number INTEGER,
advertising_id VARCHAR(50),
event_date DATE,
event_datetime TIMESTAMP,
page_id VARCHAR(50),
catalog_page_type VARCHAR(30),
sku VARCHAR(250)
);
copy tmp_item_listing_impressions from '{{S3PATH}}'
iam_role 'arn:aws:iam::652586300051:role/Redshift-athena-S3-readonly'
delimiter ','
region 'eu-west-1'
CSV
GZIP
IGNOREHEADER 1
emptyasnull
blanksasnull;
UNLOAD ('select * from tmp_item_listing_impressions')
TO 's3://btq-etl/firebase/item_listing_impressions/parquet/'
iam_role 'arn:aws:iam::652586300051:role/redshift-s3-writeAccess'
FORMAT AS PARQUET
PARTITION BY (event_date)
ALLOWOVERWRITE
MAXFILESIZE AS 512 MB;
alter table spectrum.firebase_item_listing_impressions
add if not exists partition (event_date='{{FDATE}}')
location 's3://btq-etl/firebase/item_listing_impressions/parquet/event_date={{FDATE}}';
DROP TABLE tmp_item_listing_impressions; | true |
d3a2a91b7c6dad8de8e736331be9bc4f707bc37d | SQL | rosnerpn/livrophp | /livrophp/sql/cria_bd.sql | UTF-8 | 1,801 | 2.96875 | 3 | [] | no_license | create database tarefas collate = utf8_general_ci;
use tarefas;
create table tarefas(
id int AUTO_INCREMENT PRIMARY KEY,
nome varchar(20) not null,
descricao TEXT,
prazo DATE,
prioridade int(1),
concluida boolean);
CREATE TABLE anexos (
id INTEGER AUTO_INCREMENT PRIMARY KEY,
tarefa_id INTEGER NOT NULL,
nome VARCHAR(255) NOT NULL,
arquivo VARCHAR(255) NOT NULL);
insert into tarefas(nome,descricao,prioridade) values ('Estudar PHP','Continuar meus estudos de PHP e Mysql',1);
insert into tarefas(nome,descricao,prioridade) values ('Estudar HTML','Html é importante',2);
insert into tarefas(nome,descricao,prioridade) values ('Comprar leita','Desnatado',1);
insert into tarefas(nome,descricao,prioridade) values ('Arrumar as fotos','Quando tiver de boa',3);
create database estacionamento collate = utf8_general_ci;
use estacionamento;
create table veiculos(
id int AUTO_INCREMENT PRIMARY KEY,
placa varchar(8) not null,
marca varchar(20) not null,
modelo varchar(20) not null,
hora_entrada timestamp,
hora_saida timestamp);
insert into veiculos (placa,marca,modelo) values ('MBC-6009','Troller','T-4 4x4 3.0 TB Int. Cap. R');
insert into veiculos (placa,marca,modelo) values ('HXP-6952','Cadillac','Deville/Eldorado 4.9','','');
insert into veiculos (placa,marca,modelo) values ('NAE-6755','Peugeot','206 Select./Presence 1.6/1.6 Flex 16V 5p');
insert into veiculos (placa,marca,modelo) values ('NBA-3219','Maserati','Quattroporte Executive 4.2 32V 400cv');
insert into veiculos (placa,marca,modelo) values ('NDA-0511','HAFEI','Towner Jr. Pick-up Ba');
insert into veiculos (placa,marca,modelo) values ('JGA-7434','Envemo','Master 4.0 Diesel');
insert into veiculos (placa,marca,modelo) values ('JEW-9544','CHANA','Cargo CD 1.0 8V 53cv Pick-Up'); | true |
b4dfef474eb8c880a97686d0765c3c90b2667229 | SQL | Kassykcn/web_portfolio | /project_jjh/src/main/abank/src/project.sql | UHC | 22,241 | 3.609375 | 4 | [] | no_license |
/* Drop Tables */
DROP TABLE BBS CASCADE CONSTRAINTS;
DROP TABLE CMMN_CODE CASCADE CONSTRAINTS;
DROP TABLE COIN_REPOSITORY CASCADE CONSTRAINTS;
DROP TABLE COIN_REPOSITORY_HIST CASCADE CONSTRAINTS;
DROP TABLE MNGR_INQRY CASCADE CONSTRAINTS;
DROP TABLE NOTICE CASCADE CONSTRAINTS;
DROP TABLE REFND CASCADE CONSTRAINTS;
DROP TABLE REVIEW CASCADE CONSTRAINTS;
DROP TABLE SETLE CASCADE CONSTRAINTS;
DROP TABLE RESVE CASCADE CONSTRAINTS;
DROP TABLE SELER_IMAGE CASCADE CONSTRAINTS;
DROP TABLE TAG_SEARCH CASCADE CONSTRAINTS;
DROP TABLE VOCHR CASCADE CONSTRAINTS;
DROP TABLE SELER CASCADE CONSTRAINTS;
DROP TABLE WALLET_DTLS CASCADE CONSTRAINTS;
DROP TABLE WALLET CASCADE CONSTRAINTS;
DROP TABLE MBER CASCADE CONSTRAINTS;
DROP TABLE REFND_HIST CASCADE CONSTRAINTS;
DROP TABLE RESVE_SETLE_HIST CASCADE CONSTRAINTS;
DROP TABLE TAG_READ_CNT CASCADE CONSTRAINTS;
DROP TABLE TAG CASCADE CONSTRAINTS;
DROP TABLE VOCHR_HIST CASCADE CONSTRAINTS;
DROP TABLE WALLET_DTLS_HIST CASCADE CONSTRAINTS;
select * from (select * from BBS) t;
select * from (select * from CMMN_CODE) t1;
select * from (select * from COIN_REPOSITORY) t2;
select * from (select * from COIN_REPOSITORY_HIST) t3;
select * from (select * from MNGR_INQRY) t4;
select * from (select * from NOTICE) t5;
select * from (select * from REFND) t6;
select * from (select * from REVIEW) t7;
select * from (select * from SETLE) t8;
select * from (select * from RESVE) t9;
select * from (select * from SELER_IMAGE) t11;
select * from (select * from TAG_SEARCH) t12;
select * from (select * from VOCHR) t13;
select * from (select * from SELER) t14;
select * from (select * from WALLET_DTLS) t15;
select * from (select * from WALLET) t16;
select * from (select * from MBER) t21;
select * from (select * from RESVE_SETLE_HIST) t22;
select * from (select * from REFND_HIST) t23;
select * from (select * from TAG_READ_CNT) t24;
select * from (select * from TAG) t26;
select * from (select * from VOCHR_HIST) t27;
select * from (select * from WALLET_DTLS_HIST) t28;
/* Create Tables */
-- Խ
CREATE TABLE BBS
(
-- Խñ ȣ
BBSCTT_NO varchar(4) NOT NULL,
-- ȸ ڵ
MBER_CODE varchar(4) NOT NULL,
-- Խñ ȣ
UP_BBSCTT_NO varchar(4),
-- Խñ
BBSCTT_SJ varchar(90),
-- Խñ
BBSCTT_CN varchar(300),
-- ۼ Ͻ
BBSCTT_DT date,
PRIMARY KEY (BBSCTT_NO)
)engine=innodb default charset=euckr;
-- ڵ
CREATE TABLE CMMN_CODE
(
-- ڵ
CMMN_CODE varchar(4) NOT NULL,
-- ڵ
CODE_NM varchar(100),
PRIMARY KEY (CMMN_CODE)
)engine=innodb default charset=euckr;
--
CREATE TABLE COIN_REPOSITORY
(
-- ŷ ڵ
DELNG_CODE varchar(6) NOT NULL,
-- ȸ ڵ
MBER_CODE varchar(4) NOT NULL,
-- ڵ
SETLE_CODE varchar(4) NOT NULL,
-- ŷ Ͻ
DELNG_DT timestamp NOT NULL,
-- ŷ з
DELNG_SE char NOT NULL,
-- ŷ ݾ
DELNG_AMOUNT int NOT NULL,
--
REPOSITORY_COIN_CO int NOT NULL,
PRIMARY KEY (DELNG_CODE)
)engine=innodb default charset=euckr;
-- ̷
CREATE TABLE COIN_REPOSITORY_HIST
(
-- Ͻ
RCORD_DT timestamp NOT NULL,
-- ̷
HIST_SE varchar(20) NOT NULL,
-- ŷ ڵ
DELNG_CODE varchar(6),
-- ȸ ڵ
MBER_CODE varchar(4),
-- ڵ
SETLE_CODE varchar(4),
-- ŷ Ͻ
DELNG_DT timestamp,
-- ŷ з
DELNG_SE char,
-- ŷ ݾ
DELNG_AMOUNT int,
--
REPOSITORY_COIN_CO int,
PRIMARY KEY (RCORD_DT)
)engine=innodb default charset=euckr;
-- ȸ
CREATE TABLE MBER
(
-- ȸ ڵ
MBER_CODE varchar(4) NOT NULL,
-- ȸ ̵
MBER_ID varchar(20) NOT NULL ,
-- ȸ н
MBER_PW varchar(20) NOT NULL,
-- ȸ Ǹ
MBER_RLNM varchar(21) NOT NULL,
-- ڵ
BANK_CODE varchar(4),
-- ȸ ¹ȣ
MBER_ACOUNTNO varchar(15),
-- ȸ ̸
MBER_EMAIL varchar(30) NOT NULL ,
-- ȸ г
MBER_NCNM varchar(30) NOT NULL,
-- ȸ ȭȣ
MBER_TEL varchar(13),
-- ȸ
MBER_BRTHDY varchar(8),
-- ȸ
MBER_AUTHOR_LEVEL char NOT NULL,
--
SRBDE varchar(8) NOT NULL,
-- ȸ Ż
MBER_SECSN_AT char NOT NULL,
PRIMARY KEY (MBER_CODE)
)engine=innodb default charset=euckr;
insert into MBER(MBER_CODE ,MBER_ID, MBER_PW ,MBER_RLNM,MBER_EMAIL,MBER_NCNM,MBER_AUTHOR_LEVEL,SRBDE,MBER_SECSN_AT)
values('1','LoverBoy', '1234','aaaa','wns@naver.com','aaaa','2','1997','');
--
CREATE TABLE MNGR_INQRY
(
-- ȣ
MNGR_INQRY_NO varchar(4) NOT NULL,
-- ȸ ڵ
MBER_CODE varchar(4) NOT NULL,
-- 亯 ȣ
MNGR_ANSWER_NO varchar(4),
--
INQRY_SJ varchar(90),
--
INQRY_CN varchar(300),
-- Ͻ
INQRY_DT date,
PRIMARY KEY (MNGR_INQRY_NO)
)engine=innodb default charset=euckr;
--
CREATE TABLE NOTICE
(
-- Խñ ȣ
BBSCTT_NO varchar(4) NOT NULL,
-- ȸ ڵ
MBER_CODE varchar(4) NOT NULL,
-- Խñ
BBSCTT_SJ varchar(90),
-- Խñ
BBSCTT_CN varchar(300),
-- ۼ Ͻ
BBSCTT_DT date,
PRIMARY KEY (BBSCTT_NO)
)engine=innodb default charset=euckr;
-- ȯ
CREATE TABLE REFND
(
-- ڵ
SETLE_CODE varchar(4) NOT NULL,
-- ȯ ݾ
REFND_PC int NOT NULL,
-- ȯ Ͻ
REFND_DT date NOT NULL,
-- ȯ Ϸ
REFND_AT char,
-- ȯ
REFND_RESN varchar(100) NOT NULL,
PRIMARY KEY (SETLE_CODE)
)engine=innodb default charset=euckr;
-- ȯ ̷
CREATE TABLE REFND_HIST
(
-- Ͻ
RCORD_DT timestamp NOT NULL,
-- ̷
HIST_SE varchar(20) NOT NULL,
-- ڵ
SETLE_CODE varchar(4),
-- ȯ
REFND_PC int,
-- ȯ Ͻ
REFND_DT date,
-- ȯ Ϸ
REFND_AT char,
-- ȯ
REFND_RESN varchar(100),
PRIMARY KEY (RCORD_DT)
)engine=innodb default charset=euckr;
--
CREATE TABLE RESVE
(
-- ڵ
RESVE_CODE varchar(4) NOT NULL,
-- ȸ ڵ
MBER_CODE varchar(4) NOT NULL,
-- Ļ ڵ
VOCHR_CODE varchar(4) NOT NULL,
--
RESVE_PC int NOT NULL,
-- Ͻ
RESVE_DT date NOT NULL,
PRIMARY KEY (RESVE_CODE)
)engine=innodb default charset=euckr;
-- ̷
CREATE TABLE RESVE_SETLE_HIST
(
-- Ͻ
RCORD_DT timestamp NOT NULL,
-- ̷
HIST_SE varchar(20) NOT NULL,
-- Ǵ ڵ
RESVE_SETLE_CODE varchar(4),
-- ȸ ڵ
MBER_CODE varchar(4),
-- Ļ ڵ
VOCHR_CODE varchar(4),
--
RESVE_PC int,
-- Ͻ
RESVE_DT date,
--
SETLE_PC int,
-- Ͻ
SETLE_DT date,
-- Ϸ
SETLE_AT char,
-- ȯ û
REFND_REQST_AT char,
-- Ȯ
PURCHS_DCSN_AT char,
PRIMARY KEY (RCORD_DT)
)engine=innodb default charset=euckr;
--
CREATE TABLE REVIEW
(
-- ڵ
SETLE_CODE varchar(4) NOT NULL,
-- ȸ ڵ
MBER_CODE varchar(4) NOT NULL,
--
REVIEW_CN varchar(100),
--
REVIEW_DATE date,
PRIMARY KEY (SETLE_CODE)
)engine=innodb default charset=euckr;
-- Ǹ
CREATE TABLE SELER
(
-- ȸ ڵ
MBER_CODE varchar(4) NOT NULL,
-- Ǹ ڱҰ
SELER_SELF_INTRCN varchar(900),
-- Ǹ »
SELER_CAREER varchar(900),
-- Ǹ з»
SELER_ACDMCR varchar(900),
-- Ǹ
SELER_APRSM varchar(150),
-- Ǹ
SELER_RESDNC varchar(300),
-- Ǹ
SELER_OCCP varchar(90),
-- Ǹ
SELER_AGE int,
PRIMARY KEY (MBER_CODE)
)engine=innodb default charset=euckr;
-- Ǹ ̹
CREATE TABLE SELER_IMAGE
(
-- ȸ ڵ
MBER_CODE varchar(4) NOT NULL,
-- ϼ
SNO int NOT NULL,
-- ̹
IMAGE_ADRES varchar(100),
PRIMARY KEY (MBER_CODE, SNO)
)engine=innodb default charset=euckr;
--
CREATE TABLE SETLE
(
-- ڵ
SETLE_CODE varchar(4) NOT NULL,
--
SETLE_PC int NOT NULL,
-- Ͻ
SETLE_DT date NOT NULL,
-- Ϸ
SETLE_AT char NOT NULL,
-- ȯ û
REFND_REQST_AT char,
-- Ȯ
PURCHS_DCSN_AT char NOT NULL,
PRIMARY KEY (SETLE_CODE)
)engine=innodb default charset=euckr;
-- ±
CREATE TABLE TAG
(
-- ± ڵ
TAG_CODE varchar(4) NOT NULL,
-- ±
TAG_NM varchar(30),
-- ̹
IMAGE_ADRES varchar(200),
PRIMARY KEY (TAG_CODE)
)engine=innodb default charset=euckr;
-- ± ȸ
CREATE TABLE TAG_READ_CNT
(
-- ± ڵ
TAG_CODE varchar(4) NOT NULL,
-- ± ȸ
TAG_READ_CNT int,
PRIMARY KEY (TAG_CODE)
)engine=innodb default charset=euckr;
-- ± ˻
CREATE TABLE TAG_SEARCH
(
-- ± ڵ
TAG_CODE varchar(4) NOT NULL,
-- ȸ ڵ
MBER_CODE varchar(4) NOT NULL,
PRIMARY KEY (TAG_CODE, MBER_CODE)
)engine=innodb default charset=euckr;
-- Ļ
CREATE TABLE VOCHR
(
-- Ļ ڵ
VOCHR_CODE varchar(4) NOT NULL,
-- ȸ ڵ
MBER_CODE varchar(4) NOT NULL,
-- Ļ
VOCHR_PRICE int NOT NULL,
-- Ļ Ͻ
MEAL_PREARNGE_DT varchar(12) NOT NULL,
-- Ļ Ͻ
VOCHR_REGIST_DT date NOT NULL,
-- Ļ ð
MEAL_TIME int,
-- ŷ
DELNG_AT char,
PRIMARY KEY (VOCHR_CODE)
)engine=innodb default charset=euckr;
-- Ļ ̷
CREATE TABLE VOCHR_HIST
(
-- Ͻ
RCORD_DT timestamp NOT NULL,
-- ̷
HIST_SE varchar(20) NOT NULL,
-- Ļ ڵ
VOCHR_CODE varchar(4),
-- ȸ ڵ
MBER_CODE varchar(4),
-- Ļ
VOCHR_PRICE int,
-- Ļ Ͻ
MEAL_PREARNGE_DT varchar(12),
-- Ļ Ͻ
VOCHR_REGIST_DT date,
-- Ļ ð
MEAL_TIME int,
-- ŷ
DELNG_AT char,
PRIMARY KEY (RCORD_DT)
)engine=innodb default charset=euckr;
--
CREATE TABLE WALLET
(
-- ȸ ڵ
MBER_CODE varchar(4) NOT NULL,
--
COIN_CO int NOT NULL,
PRIMARY KEY (MBER_CODE)
)engine=innodb default charset=euckr;
--
CREATE TABLE WALLET_DTLS
(
-- ȸ ڵ
MBER_CODE varchar(4) NOT NULL,
-- Ͻ
RCPPAY_DT timestamp NOT NULL,
-- з
RCPPAY_CL char NOT NULL,
-- ݾ
RCPPAY_AMOUNT int NOT NULL,
-- ȯ
EXCNG_COIN_CO int NOT NULL,
PRIMARY KEY (MBER_CODE, RCPPAY_DT)
)engine=innodb default charset=euckr;
-- ̷
CREATE TABLE WALLET_DTLS_HIST
(
-- Ͻ
RCORD_DT timestamp NOT NULL,
-- ̷
HIST_SE varchar(20) NOT NULL,
-- ȸ ڵ
MBER_CODE varchar(4),
--
RCPPAY_DT timestamp,
-- з
RCPPAY_CL char NOT NULL,
-- ݾ
RCPPAY_AMOUNT int NOT NULL,
-- ȯ
EXCNG_COIN_CO int NOT NULL,
--
COIN_CO int,
PRIMARY KEY (RCORD_DT)
)engine=innodb default charset=euckr;
/* Create Foreign Keys */
ALTER TABLE BBS
ADD FOREIGN KEY (UP_BBSCTT_NO)
REFERENCES BBS (BBSCTT_NO)
;
ALTER TABLE BBS
ADD FOREIGN KEY (MBER_CODE)
REFERENCES MBER (MBER_CODE)
;
ALTER TABLE MNGR_INQRY
ADD FOREIGN KEY (MBER_CODE)
REFERENCES MBER (MBER_CODE)
;
ALTER TABLE NOTICE
ADD FOREIGN KEY (MBER_CODE)
REFERENCES MBER (MBER_CODE)
;
ALTER TABLE RESVE
ADD FOREIGN KEY (MBER_CODE)
REFERENCES MBER (MBER_CODE)
;
ALTER TABLE REVIEW
ADD FOREIGN KEY (MBER_CODE)
REFERENCES MBER (MBER_CODE)
;
ALTER TABLE SELER
ADD FOREIGN KEY (MBER_CODE)
REFERENCES MBER (MBER_CODE)
;
ALTER TABLE WALLET
ADD FOREIGN KEY (MBER_CODE)
REFERENCES MBER (MBER_CODE)
;
ALTER TABLE MNGR_INQRY
ADD FOREIGN KEY (MNGR_ANSWER_NO)
REFERENCES MNGR_INQRY (MNGR_INQRY_NO)
;
ALTER TABLE SETLE
ADD FOREIGN KEY (SETLE_CODE)
REFERENCES RESVE (RESVE_CODE)
;
ALTER TABLE SELER_IMAGE
ADD FOREIGN KEY (MBER_CODE)
REFERENCES SELER (MBER_CODE)
;
ALTER TABLE TAG_SEARCH
ADD FOREIGN KEY (MBER_CODE)
REFERENCES SELER (MBER_CODE)
;
ALTER TABLE VOCHR
ADD FOREIGN KEY (MBER_CODE)
REFERENCES SELER (MBER_CODE)
;
ALTER TABLE COIN_REPOSITORY
ADD FOREIGN KEY (SETLE_CODE)
REFERENCES SETLE (SETLE_CODE)
;
ALTER TABLE REFND
ADD FOREIGN KEY (SETLE_CODE)
REFERENCES SETLE (SETLE_CODE)
;
ALTER TABLE REVIEW
ADD FOREIGN KEY (SETLE_CODE)
REFERENCES SETLE (SETLE_CODE)
;
ALTER TABLE TAG_READ_CNT
ADD FOREIGN KEY (TAG_CODE)
REFERENCES TAG (TAG_CODE)
;
ALTER TABLE TAG_SEARCH
ADD FOREIGN KEY (TAG_CODE)
REFERENCES TAG (TAG_CODE)
;
ALTER TABLE RESVE
ADD FOREIGN KEY (VOCHR_CODE)
REFERENCES VOCHR (VOCHR_CODE)
;
ALTER TABLE COIN_REPOSITORY
ADD FOREIGN KEY (MBER_CODE)
REFERENCES WALLET (MBER_CODE)
;
ALTER TABLE WALLET_DTLS
ADD FOREIGN KEY (MBER_CODE)
REFERENCES WALLET (MBER_CODE)
;
/* Comments */
COMMENT ON TABLE BBS IS 'Խ';
COMMENT ON COLUMN BBS.BBSCTT_NO IS 'Խñ ȣ';
COMMENT ON COLUMN BBS.MBER_CODE IS 'ȸ ڵ';
COMMENT ON COLUMN BBS.UP_BBSCTT_NO IS ' Խñ ȣ';
COMMENT ON COLUMN BBS.BBSCTT_SJ IS 'Խñ ';
COMMENT ON COLUMN BBS.BBSCTT_CN IS 'Խñ ';
COMMENT ON COLUMN BBS.BBSCTT_DT IS 'ۼ Ͻ';
COMMENT ON TABLE CMMN_CODE IS ' ڵ';
COMMENT ON COLUMN CMMN_CODE.CMMN_CODE IS ' ڵ';
COMMENT ON COLUMN CMMN_CODE.CODE_NM IS 'ڵ';
COMMENT ON TABLE COIN_REPOSITORY IS ' ';
COMMENT ON COLUMN COIN_REPOSITORY.DELNG_CODE IS 'ŷ ڵ';
COMMENT ON COLUMN COIN_REPOSITORY.MBER_CODE IS 'ȸ ڵ';
COMMENT ON COLUMN COIN_REPOSITORY.SETLE_CODE IS ' ڵ';
COMMENT ON COLUMN COIN_REPOSITORY.DELNG_DT IS 'ŷ Ͻ';
COMMENT ON COLUMN COIN_REPOSITORY.DELNG_SE IS 'ŷ з';
COMMENT ON COLUMN COIN_REPOSITORY.DELNG_AMOUNT IS 'ŷ ݾ';
COMMENT ON COLUMN COIN_REPOSITORY.REPOSITORY_COIN_CO IS ' ';
COMMENT ON TABLE COIN_REPOSITORY_HIST IS ' ̷';
COMMENT ON COLUMN COIN_REPOSITORY_HIST.RCORD_DT IS ' Ͻ';
COMMENT ON COLUMN COIN_REPOSITORY_HIST.HIST_SE IS '̷ ';
COMMENT ON COLUMN COIN_REPOSITORY_HIST.DELNG_CODE IS 'ŷ ڵ';
COMMENT ON COLUMN COIN_REPOSITORY_HIST.MBER_CODE IS 'ȸ ڵ';
COMMENT ON COLUMN COIN_REPOSITORY_HIST.SETLE_CODE IS ' ڵ';
COMMENT ON COLUMN COIN_REPOSITORY_HIST.DELNG_DT IS 'ŷ Ͻ';
COMMENT ON COLUMN COIN_REPOSITORY_HIST.DELNG_SE IS 'ŷ з';
COMMENT ON COLUMN COIN_REPOSITORY_HIST.DELNG_AMOUNT IS 'ŷ ݾ';
COMMENT ON COLUMN COIN_REPOSITORY_HIST.REPOSITORY_COIN_CO IS ' ';
COMMENT ON TABLE MBER IS 'ȸ';
COMMENT ON COLUMN MBER.MBER_CODE IS 'ȸ ڵ';
COMMENT ON COLUMN MBER.MBER_ID IS 'ȸ ̵';
COMMENT ON COLUMN MBER.MBER_PW IS 'ȸ н';
COMMENT ON COLUMN MBER.MBER_RLNM IS 'ȸ Ǹ';
COMMENT ON COLUMN MBER.BANK_CODE IS ' ڵ';
COMMENT ON COLUMN MBER.MBER_ACOUNTNO IS 'ȸ ¹ȣ';
COMMENT ON COLUMN MBER.MBER_EMAIL IS 'ȸ ̸';
COMMENT ON COLUMN MBER.MBER_NCNM IS 'ȸ г';
COMMENT ON COLUMN MBER.MBER_TEL IS 'ȸ ȭȣ';
COMMENT ON COLUMN MBER.MBER_BRTHDY IS 'ȸ ';
COMMENT ON COLUMN MBER.MBER_AUTHOR_LEVEL IS 'ȸ ';
COMMENT ON COLUMN MBER.SRBDE IS '';
COMMENT ON COLUMN MBER.MBER_SECSN_AT IS 'ȸ Ż ';
COMMENT ON TABLE MNGR_INQRY IS ' ';
COMMENT ON COLUMN MNGR_INQRY.MNGR_INQRY_NO IS ' ȣ';
COMMENT ON COLUMN MNGR_INQRY.MBER_CODE IS 'ȸ ڵ';
COMMENT ON COLUMN MNGR_INQRY.MNGR_ANSWER_NO IS ' 亯 ȣ';
COMMENT ON COLUMN MNGR_INQRY.INQRY_SJ IS ' ';
COMMENT ON COLUMN MNGR_INQRY.INQRY_CN IS ' ';
COMMENT ON COLUMN MNGR_INQRY.INQRY_DT IS ' Ͻ';
COMMENT ON TABLE NOTICE IS '';
COMMENT ON COLUMN NOTICE.BBSCTT_NO IS 'Խñ ȣ';
COMMENT ON COLUMN NOTICE.MBER_CODE IS 'ȸ ڵ';
COMMENT ON COLUMN NOTICE.BBSCTT_SJ IS 'Խñ ';
COMMENT ON COLUMN NOTICE.BBSCTT_CN IS 'Խñ ';
COMMENT ON COLUMN NOTICE.BBSCTT_DT IS 'ۼ Ͻ';
COMMENT ON TABLE REFND IS 'ȯ';
COMMENT ON COLUMN REFND.SETLE_CODE IS ' ڵ';
COMMENT ON COLUMN REFND.REFND_PC IS 'ȯ ݾ';
COMMENT ON COLUMN REFND.REFND_DT IS 'ȯ Ͻ';
COMMENT ON COLUMN REFND.REFND_AT IS 'ȯ Ϸ ';
COMMENT ON COLUMN REFND.REFND_RESN IS 'ȯ ';
COMMENT ON TABLE REFND_HIST IS 'ȯ ̷';
COMMENT ON COLUMN REFND_HIST.RCORD_DT IS ' Ͻ';
COMMENT ON COLUMN REFND_HIST.HIST_SE IS '̷ ';
COMMENT ON COLUMN REFND_HIST.SETLE_CODE IS ' ڵ';
COMMENT ON COLUMN REFND_HIST.REFND_PC IS 'ȯ ';
COMMENT ON COLUMN REFND_HIST.REFND_DT IS 'ȯ Ͻ';
COMMENT ON COLUMN REFND_HIST.REFND_AT IS 'ȯ Ϸ ';
COMMENT ON COLUMN REFND_HIST.REFND_RESN IS 'ȯ ';
COMMENT ON TABLE RESVE IS '';
COMMENT ON COLUMN RESVE.RESVE_CODE IS ' ڵ';
COMMENT ON COLUMN RESVE.MBER_CODE IS 'ȸ ڵ';
COMMENT ON COLUMN RESVE.VOCHR_CODE IS 'Ļ ڵ';
COMMENT ON COLUMN RESVE.RESVE_PC IS ' ';
COMMENT ON COLUMN RESVE.RESVE_DT IS ' Ͻ';
COMMENT ON TABLE RESVE_SETLE_HIST IS ' ̷';
COMMENT ON COLUMN RESVE_SETLE_HIST.RCORD_DT IS ' Ͻ';
COMMENT ON COLUMN RESVE_SETLE_HIST.HIST_SE IS '̷ ';
COMMENT ON COLUMN RESVE_SETLE_HIST.RESVE_SETLE_CODE IS ' Ǵ ڵ';
COMMENT ON COLUMN RESVE_SETLE_HIST.MBER_CODE IS 'ȸ ڵ';
COMMENT ON COLUMN RESVE_SETLE_HIST.VOCHR_CODE IS 'Ļ ڵ';
COMMENT ON COLUMN RESVE_SETLE_HIST.RESVE_PC IS ' ';
COMMENT ON COLUMN RESVE_SETLE_HIST.RESVE_DT IS ' Ͻ';
COMMENT ON COLUMN RESVE_SETLE_HIST.SETLE_PC IS ' ';
COMMENT ON COLUMN RESVE_SETLE_HIST.SETLE_DT IS ' Ͻ';
COMMENT ON COLUMN RESVE_SETLE_HIST.SETLE_AT IS ' Ϸ ';
COMMENT ON COLUMN RESVE_SETLE_HIST.REFND_REQST_AT IS 'ȯ û ';
COMMENT ON COLUMN RESVE_SETLE_HIST.PURCHS_DCSN_AT IS ' Ȯ ';
COMMENT ON TABLE REVIEW IS '';
COMMENT ON COLUMN REVIEW.SETLE_CODE IS ' ڵ';
COMMENT ON COLUMN REVIEW.MBER_CODE IS 'ȸ ڵ';
COMMENT ON COLUMN REVIEW.REVIEW_CN IS ' ';
COMMENT ON COLUMN REVIEW.REVIEW_DATE IS ' ';
COMMENT ON TABLE SELER IS 'Ǹ';
COMMENT ON COLUMN SELER.MBER_CODE IS 'ȸ ڵ';
COMMENT ON COLUMN SELER.SELER_SELF_INTRCN IS 'Ǹ ڱҰ';
COMMENT ON COLUMN SELER.SELER_CAREER IS 'Ǹ »';
COMMENT ON COLUMN SELER.SELER_ACDMCR IS 'Ǹ з»';
COMMENT ON COLUMN SELER.SELER_APRSM IS 'Ǹ ';
COMMENT ON COLUMN SELER.SELER_RESDNC IS 'Ǹ ';
COMMENT ON COLUMN SELER.SELER_OCCP IS 'Ǹ ';
COMMENT ON COLUMN SELER.SELER_AGE IS 'Ǹ ';
COMMENT ON TABLE SELER_IMAGE IS 'Ǹ ̹';
COMMENT ON COLUMN SELER_IMAGE.MBER_CODE IS 'ȸ ڵ';
COMMENT ON COLUMN SELER_IMAGE.SNO IS 'ϼ';
COMMENT ON COLUMN SELER_IMAGE.IMAGE_ADRES IS '̹ ';
COMMENT ON TABLE SETLE IS '';
COMMENT ON COLUMN SETLE.SETLE_CODE IS ' ڵ';
COMMENT ON COLUMN SETLE.SETLE_PC IS ' ';
COMMENT ON COLUMN SETLE.SETLE_DT IS ' Ͻ';
COMMENT ON COLUMN SETLE.SETLE_AT IS ' Ϸ ';
COMMENT ON COLUMN SETLE.REFND_REQST_AT IS 'ȯ û ';
COMMENT ON COLUMN SETLE.PURCHS_DCSN_AT IS ' Ȯ ';
COMMENT ON TABLE TAG IS '±';
COMMENT ON COLUMN TAG.TAG_CODE IS '± ڵ';
COMMENT ON COLUMN TAG.TAG_NM IS '±';
COMMENT ON COLUMN TAG.IMAGE_ADRES IS '̹ ';
COMMENT ON TABLE TAG_READ_CNT IS '± ȸ';
COMMENT ON COLUMN TAG_READ_CNT.TAG_CODE IS '± ڵ';
COMMENT ON COLUMN TAG_READ_CNT.TAG_READ_CNT IS '± ȸ';
COMMENT ON TABLE TAG_SEARCH IS '± ˻';
COMMENT ON COLUMN TAG_SEARCH.TAG_CODE IS '± ڵ';
COMMENT ON COLUMN TAG_SEARCH.MBER_CODE IS 'ȸ ڵ';
COMMENT ON TABLE VOCHR IS 'Ļ';
COMMENT ON COLUMN VOCHR.VOCHR_CODE IS 'Ļ ڵ';
COMMENT ON COLUMN VOCHR.MBER_CODE IS 'ȸ ڵ';
COMMENT ON COLUMN VOCHR.VOCHR_PRICE IS 'Ļ ';
COMMENT ON COLUMN VOCHR.MEAL_PREARNGE_DT IS 'Ļ Ͻ';
COMMENT ON COLUMN VOCHR.VOCHR_REGIST_DT IS 'Ļ Ͻ';
COMMENT ON COLUMN VOCHR.MEAL_TIME IS 'Ļ ð';
COMMENT ON COLUMN VOCHR.DELNG_AT IS 'ŷ ';
COMMENT ON TABLE VOCHR_HIST IS 'Ļ ̷';
COMMENT ON COLUMN VOCHR_HIST.RCORD_DT IS ' Ͻ';
COMMENT ON COLUMN VOCHR_HIST.HIST_SE IS '̷ ';
COMMENT ON COLUMN VOCHR_HIST.VOCHR_CODE IS 'Ļ ڵ';
COMMENT ON COLUMN VOCHR_HIST.MBER_CODE IS 'ȸ ڵ';
COMMENT ON COLUMN VOCHR_HIST.VOCHR_PRICE IS 'Ļ ';
COMMENT ON COLUMN VOCHR_HIST.MEAL_PREARNGE_DT IS 'Ļ Ͻ';
COMMENT ON COLUMN VOCHR_HIST.VOCHR_REGIST_DT IS 'Ļ Ͻ';
COMMENT ON COLUMN VOCHR_HIST.MEAL_TIME IS 'Ļ ð';
COMMENT ON COLUMN VOCHR_HIST.DELNG_AT IS 'ŷ ';
COMMENT ON TABLE WALLET IS '';
COMMENT ON COLUMN WALLET.MBER_CODE IS 'ȸ ڵ';
COMMENT ON COLUMN WALLET.COIN_CO IS ' ';
COMMENT ON TABLE WALLET_DTLS IS ' ';
COMMENT ON COLUMN WALLET_DTLS.MBER_CODE IS 'ȸ ڵ';
COMMENT ON COLUMN WALLET_DTLS.RCPPAY_DT IS ' Ͻ';
COMMENT ON COLUMN WALLET_DTLS.RCPPAY_CL IS ' з';
COMMENT ON COLUMN WALLET_DTLS.RCPPAY_AMOUNT IS ' ݾ';
COMMENT ON COLUMN WALLET_DTLS.EXCNG_COIN_CO IS 'ȯ ';
COMMENT ON TABLE WALLET_DTLS_HIST IS ' ̷';
COMMENT ON COLUMN WALLET_DTLS_HIST.RCORD_DT IS ' Ͻ';
COMMENT ON COLUMN WALLET_DTLS_HIST.HIST_SE IS '̷ ';
COMMENT ON COLUMN WALLET_DTLS_HIST.MBER_CODE IS 'ȸ ڵ';
COMMENT ON COLUMN WALLET_DTLS_HIST.RCPPAY_DT IS ' ';
COMMENT ON COLUMN WALLET_DTLS_HIST.RCPPAY_CL IS ' з';
COMMENT ON COLUMN WALLET_DTLS_HIST.RCPPAY_AMOUNT IS ' ݾ';
COMMENT ON COLUMN WALLET_DTLS_HIST.EXCNG_COIN_CO IS 'ȯ ';
COMMENT ON COLUMN WALLET_DTLS_HIST.COIN_CO IS ' ';
| true |
9f355f4f54d8f437efd029c6c2a982882ed2df50 | SQL | alisagaming/bubbleparty | /trunk/Server/sql/create_tables.sql | UTF-8 | 796 | 2.921875 | 3 | [] | no_license | create table players (
player_id INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
device_id VARCHAR(50) UNIQUE KEY,
facebook_id VARCHAR(50) UNIQUE KEY,
first_name VARCHAR(50),
last_name VARCHAR(50),
device_model VARCHAR(100),
device_type VARCHAR(50),
operating_system VARCHAR(100),
region VARCHAR(50),
email VARCHAR(255) UNIQUE KEY,
registration_date DATETIME,
last_played_date DATETIME,
coins_total INT default 0,
coins_spent INT default 0,
diamond_total INT default 0,
diamond_spent INT default 0,
lives_total INT default 0,
lives_spent INT default 0,
bonus_star INT default 0,
bonus_time INT default 0,
bonus_fireball INT default 0,
bonus_plazma INT default 0,
total_score INT default 0,
total_expiriens INT default 0
);
| true |
86909051d85e69040e42c4fee5e91fc9e12ba27e | SQL | brockstonking/KSG-reviewMe | /db/get_business_messages.sql | UTF-8 | 198 | 3.171875 | 3 | [] | no_license | SELECT * FROM sent_messages sm
JOIN locations lo ON lo.location_id = sm.location_id
JOIN businesses bu ON bu.business_id = lo.business_id
WHERE bu.business_id = $1
ORDER BY message_id DESC
LIMIT 10; | true |
89f69662362d72f8b788bb3a03803e43b1ef8b66 | SQL | AurlinD/304project | /initialize.sql | UTF-8 | 15,879 | 3.609375 | 4 | [] | no_license | drop table branch_employee;
drop table cart;
drop table purchase_has_album;
drop table makes_purchase;
drop table album_has_song;
drop table branch_carries_album;
drop table customer;
drop table album;
drop table branch;
create table customer
(cust_email varchar(50) not null,
cust_name varchar(40) not null,
cust_password varchar(20) not null,
primary key (cust_email));
create table album
(album_id int not null,
minimum_stock int not null CHECK (minimum_stock >= 0),
stock int not null CHECK (stock >= 0),
price float not null CHECK (price >= 0),
year int not null CHECK (year <= 2017 AND year > 1900),
name varchar(40) not null,
genre varchar(20) not null,
artist varchar(40) not null,
primary key (album_id));
create table album_has_song
(song_id int not null,
album_id int not null,
song_title varchar(30) not null,
primary key (song_id),
foreign key (album_id) references album);
create table branch
(branch_no int not null,
street_no varchar(40) not null,
city varchar(20) not null,
province char(2) not null,
postal_code varchar(7) not null,
primary key (branch_no));
create table branch_employee
(emp_email varchar(50) not null,
name varchar(40) not null,
password varchar(20) not null,
branch_no int not null,
primary key (emp_email),
foreign key (branch_no) references branch ON DELETE CASCADE);
create table cart
(cust_email varchar(50) not null,
album_id int not null,
quantity int not null CHECK (quantity >= 1),
primary key (cust_email, album_id),
foreign key (cust_email) references customer ON DELETE CASCADE,
foreign key (album_id) references album);
create table makes_purchase
(purchase_no int not null,
cust_email varchar(50) not null,
purchase_month int not null CHECK (purchase_month>=1 AND purchase_month<=12),
purchase_year int not null CHECK (purchase_year=2016 OR purchase_year=2017),
primary key (purchase_no),
foreign key (cust_email) references customer ON DELETE CASCADE);
create table purchase_has_album
(purchase_no int not null,
album_id int not null,
quantity int not null CHECK (quantity >= 1),
primary key (album_id, purchase_no),
foreign key (album_id) references album,
foreign key (purchase_no) references makes_purchase ON DELETE CASCADE);
create table branch_carries_album
(branch_no int not null,
album_id int not null,
primary key (album_id, branch_no),
foreign key (album_id) references album,
foreign key (branch_no) references branch ON DELETE CASCADE);
insert into customer
values('jon@gmail.com', 'Jon', '123');
insert into customer
values('bob@gmail.com', 'Bob', '124');
insert into customer
values('jimmyne@gmail.com', 'Jim', '102');
insert into customer
values ('se20@gmail.com', 'Sam', '436');
insert into customer
values ('sleepy@gmail.com', 'Steven', '246');
insert into customer
values ('lisa@gmail.com', 'Lisa', '123');
insert into customer
values ('ella@gmail.com', 'Ella', '123');
insert into customer
values ('linda@gmail.com', 'Linda', '123');
insert into customer
values ('laks@gmail.com', 'Laks', '123');
insert into customer
values ('kevin@gmail.com', 'Kevin', '123');
insert into customer
values ('samantha@gmail.com', 'Samantha', '123');
insert into customer
values ('erika@gmail.com', 'Erika', '123');
insert into customer
values ('julie@gmail.com', 'Julie', '123');
insert into customer
values ('alex@gmail.com', 'Alex', '123');
insert into customer
values ('hannah@gmail.com', 'Hannah', '123');
insert into customer
values ('carly@gmail.com', 'Carly', '123');
insert into customer
values ('juliet@gmail.com', 'Juliet', '123');
insert into customer
values ('joe@gmail.com', 'Joe', '123');
insert into customer
values ('allie@gmail.com', 'Allie', '123');
insert into customer
values ('rob@gmail.com', 'Rob', '123');
insert into customer
values ('aurlin@gmail.com', 'Aurlin' , '123');
insert into album
values (1, 10, 300, 15.00, 2016, 'The Life of Pablo', 'Hip-Hop/Rap', 'Kanye West');
insert into album
values (2, 10, 400, 12.00, 2007, 'Graduation', 'Hip-Hop/Rap', 'Kanye West');
insert into album
values (3, 10, 700, 10.00, 2016, 'Cleopatra', 'Alternative', 'The Lumineers');
insert into album
values (4, 10, 50, 9.00, 2000, 'Yeezus', 'Hip-Hop/Rap', 'Kanye West');
insert into album
values (5, 10, 1, 8.00, 1990, 'Since I Let You Go', 'Rock', 'Real Ponchos');
insert into album
values (6, 10, 300, 16.00, 2017, 'More Life', 'Hip-Hop/Rap', 'Drake');
insert into album
values (7, 10, 600, 20.00, 2017, 'Divide', 'Pop', 'Ed Sheeran');
insert into album
values (8, 10, 100, 15.00, 2016, 'American Teen', 'Hip-Hop/Rap', 'Khalid');
insert into album
values (9, 10, 75, 10.00, 2017, 'Rather You Than Me', 'Hip-Hop/Rap', 'Rick Ross');
insert into album
values (10, 10, 3, 15.00, 2016, 'Starboy', 'Hip-Hop/Rap', 'The Weeknd');
insert into album
values (11, 10, 100, 14.00, 2017, 'NAV', 'Hip-Hop/Rap', 'NAV');
insert into album
values (12, 10, 200, 14.00, 2017, 'So Good', 'Pop', 'Zara Larsson');
insert into album
values (13, 10, 200, 14.00, 2005, 'Lang Lang in Paris', 'Classical', 'Lang Lang');
insert into album
values (14, 10, 200, 14.00, 2000, 'Sing Me Home', 'Classical', 'The Silk Road Ensemble');
insert into album
values (15, 10, 200, 10.00, 1980, 'Chuck', 'Rock', 'Chuck Berry');
insert into album
values (16, 10, 150, 10.00, 2000, 'Blossom', 'Alternative', 'Milky Chance');
insert into album
values (17, 10, 150, 10.00, 2004, 'Stoney', 'Pop', 'Post Malone');
insert into album
values (18, 10, 150, 10.00, 2003, '24K Magic', 'Pop', 'Bruno Mars');
insert into album
values (19, 10, 150, 8.00, 2009, 'Views', 'Hip-Hop/Rap', 'Drake');
insert into album
values (20, 10, 150, 8.00, 2008, 'Roses', 'Rock', 'The Chainsmokers');
insert into album_has_song
values (1, 1, 'Ultralight Beam');
insert into album_has_song
values (2, 1, 'Father Stretch');
insert into album_has_song
values (3, 1, 'Pt. 2');
insert into album_has_song
values (4, 1, 'Famous');
insert into album_has_song
values (5, 1, 'Feedback');
insert into album_has_song
values (6, 2, 'Good Morning');
insert into album_has_song
values (7, 2, 'Champion');
insert into album_has_song
values (8, 2, 'Stronger');
insert into album_has_song
values (9, 2, 'I Wonder');
insert into album_has_song
values (10, 2, 'Good Life');
insert into album_has_song
values (11, 3, 'Sleep on the Floor');
insert into album_has_song
values (12, 3, 'Ophelia');
insert into album_has_song
values (13, 3, 'Angela');
insert into album_has_song
values (14, 3, 'My Eyes');
insert into album_has_song
values (15, 3, 'Patience');
insert into album_has_song
values (16, 4, 'On Sight');
insert into album_has_song
values (17, 5, 'Slow Burn');
insert into album_has_song
values (18, 6, 'Portland');
insert into album_has_song
values (19, 7, 'Perfect');
insert into album_has_song
values (20, 8, 'Location');
insert into album_has_song
values (21, 9, 'Apple of My Eye');
insert into album_has_song
values (22, 10, 'Starboy');
insert into album_has_song
values (23, 11, 'Myself');
insert into album_has_song
values (24, 12, 'Lush Life');
insert into album_has_song
values (25, 13, 'In Evening Air');
insert into album_has_song
values (26, 14, 'Going Home');
insert into album_has_song
values (27, 15, 'Big Boys');
insert into album_has_song
values (28, 16, 'Firebird');
insert into album_has_song
values (29, 17, 'Go Flex');
insert into album_has_song
values (30, 18, '24K Magic');
insert into album_has_song
values (31, 19, '9');
insert into album_has_song
values (32, 20, 'Roses');
insert into branch
values (1, '1200 W 4th Ave', 'Vancouver', 'BC', 'V7R 9K3');
insert into branch
values (2, '300 Apple Street', 'Vancouver', 'BC', 'V7R 9K3');
insert into branch
values (3, '200 Blackcomb Way', 'Whistler', 'BC', 'G8L 6N8');
insert into branch
values (4, '1500 Main Street', 'Toronto', 'ON', 'N1C 3J6');
insert into branch_employee
values ('zack@gmail.com', 'Zack', '123', 1);
insert into branch_employee
values ('tim@gmail.com', 'Tim', '456', 1);
insert into branch_employee
values ('sarah@gmail.com', 'Sarah', '890', 2);
insert into branch_employee
values ('andy@gmail.com', 'Andy', '234', 2);
insert into branch_employee
values ('lisa@gmail.com', 'Lisa', '234', 3);
insert into branch_employee
values ('ben@gmail.com', 'Ben', '234', 3);
insert into branch_employee
values ('mike@gmail.com', 'Mike', '234', 4);
insert into branch_employee
values ('jonathan@gmail.com', 'Jonathan', '234', 4);
insert into branch_employee
values ('dora@gmail.com', 'Lisa', '234', 4);
insert into makes_purchase
values (1, 'jon@gmail.com', 8, 2016);
insert into makes_purchase
values (2, 'jon@gmail.com', 9, 2016);
insert into makes_purchase
values (3, 'jon@gmail.com', 10, 2016);
insert into makes_purchase
values (4, 'jon@gmail.com', 11, 2016);
insert into makes_purchase
values (5, 'jon@gmail.com', 1, 2017);
insert into makes_purchase
values (6, 'bob@gmail.com', 8, 2016);
insert into makes_purchase
values (7, 'bob@gmail.com', 1, 2017);
insert into makes_purchase
values (8, 'bob@gmail.com', 1, 2017);
insert into makes_purchase
values (9, 'jimmyne@gmail.com', 2, 2017);
insert into makes_purchase
values (10, 'jimmyne@gmail.com', 2, 2017);
insert into makes_purchase
values (11, 'sleepy@gmail.com', 8, 2016);
insert into makes_purchase
values (12, 'lisa@gmail.com', 10, 2016);
insert into makes_purchase
values (13, 'ella@gmail.com', 8, 2016);
insert into makes_purchase
values (14, 'linda@gmail.com', 9, 2016);
insert into makes_purchase
values (15, 'laks@gmail.com', 3, 2017);
insert into makes_purchase
values (16, 'kevin@gmail.com', 11, 2016);
insert into makes_purchase
values (17, 'samantha@gmail.com', 12, 2016);
insert into makes_purchase
values (18, 'erika@gmail.com', 12, 2016);
insert into makes_purchase
values (19, 'julie@gmail.com', 3, 2017);
insert into makes_purchase
values (20, 'alex@gmail.com', 12, 2016);
insert into purchase_has_album
values (1, 1, 1);
insert into purchase_has_album
values (1, 2, 1);
insert into purchase_has_album
values (1, 3, 1);
insert into purchase_has_album
values (1, 4, 1);
/* add albums 5-20 with qty 1 to purchase_no 1*/
insert into purchase_has_album
values (2, 5, 1);
insert into purchase_has_album
values (2, 6, 1);
insert into purchase_has_album
values (3, 7, 1);
insert into purchase_has_album
values (4, 8, 1);
insert into purchase_has_album
values (4, 9, 1);
insert into purchase_has_album
values (4, 1, 1);
insert into purchase_has_album
values (5, 2, 2);
insert into purchase_has_album
values (5, 3, 2);
insert into purchase_has_album
values (5, 4, 2);
insert into purchase_has_album
values (6, 5, 2);
insert into purchase_has_album
values (6, 10, 2);
insert into purchase_has_album
values (6, 11, 2);
insert into purchase_has_album
values (7, 12, 2);
insert into purchase_has_album
values (8, 13, 2);
insert into purchase_has_album
values (9, 14, 2);
insert into purchase_has_album
values (10, 15, 2);
insert into purchase_has_album
values (11, 16, 3);
insert into purchase_has_album
values (12, 17, 3);
insert into purchase_has_album
values (12, 18, 3);
insert into purchase_has_album
values (12, 1, 3);
insert into purchase_has_album
values (13, 2, 3);
insert into purchase_has_album
values (13, 3, 3);
insert into purchase_has_album
values (14, 4, 3);
insert into purchase_has_album
values (15, 5, 3);
insert into purchase_has_album
values (15, 6, 3);
insert into purchase_has_album
values (15, 7, 3);
insert into purchase_has_album
values (15, 8, 3);
insert into purchase_has_album
values (16, 9, 1);
insert into purchase_has_album
values (16, 10, 1);
insert into purchase_has_album
values (16, 11, 1);
insert into purchase_has_album
values (17, 12, 1);
insert into purchase_has_album
values (18, 13, 1);
insert into purchase_has_album
values (19, 14, 1);
insert into purchase_has_album
values (20, 15, 1);
insert into purchase_has_album
values (20, 16, 1);
insert into branch_carries_album
values (1, 1);
insert into branch_carries_album
values (1, 2);
insert into branch_carries_album
values (1, 3);
insert into branch_carries_album
values (1, 4);
insert into branch_carries_album
values (1, 5);
insert into branch_carries_album
values (1, 6);
insert into branch_carries_album
values (1, 7);
insert into branch_carries_album
values (1, 8);
insert into branch_carries_album
values (1, 9);
insert into branch_carries_album
values (1, 10);
insert into branch_carries_album
values (1, 11);
insert into branch_carries_album
values (1, 12);
insert into branch_carries_album
values (1, 13);
insert into branch_carries_album
values (1, 14);
insert into branch_carries_album
values (1, 15);
insert into branch_carries_album
values (1, 16);
insert into branch_carries_album
values (1, 17);
insert into branch_carries_album
values (1, 18);
insert into branch_carries_album
values (1, 19);
insert into branch_carries_album
values (1, 20);
insert into branch_carries_album
values (2, 1);
insert into branch_carries_album
values (2, 2);
insert into branch_carries_album
values (2, 3);
insert into branch_carries_album
values (2, 4);
insert into branch_carries_album
values (2, 5);
insert into branch_carries_album
values (2, 6);
insert into branch_carries_album
values (2, 7);
insert into branch_carries_album
values (2, 8);
insert into branch_carries_album
values (2, 9);
insert into branch_carries_album
values (2, 10);
insert into branch_carries_album
values (2, 11);
insert into branch_carries_album
values (2, 12);
insert into branch_carries_album
values (2, 13);
insert into branch_carries_album
values (2, 14);
insert into branch_carries_album
values (2, 15);
insert into branch_carries_album
values (2, 16);
insert into branch_carries_album
values (2, 17);
insert into branch_carries_album
values (2, 18);
insert into branch_carries_album
values (2, 19);
insert into branch_carries_album
values (2, 20);
insert into branch_carries_album
values (3, 1);
insert into branch_carries_album
values (3, 2);
insert into branch_carries_album
values (3, 3);
insert into branch_carries_album
values (3, 4);
insert into branch_carries_album
values (3, 5);
insert into branch_carries_album
values (3, 6);
insert into branch_carries_album
values (3, 7);
insert into branch_carries_album
values (3, 8);
insert into branch_carries_album
values (3, 9);
insert into branch_carries_album
values (3, 10);
insert into branch_carries_album
values (4, 11);
insert into branch_carries_album
values (4, 12);
insert into branch_carries_album
values (4, 13);
insert into branch_carries_album
values (4, 14);
insert into branch_carries_album
values (4, 15);
insert into branch_carries_album
values (4, 16);
insert into branch_carries_album
values (4, 17);
insert into branch_carries_album
values (4, 18);
insert into branch_carries_album
values (4, 19);
insert into branch_carries_album
values (4, 20);
insert into makes_purchase
values(21,'aurlin@gmail.com', 2,2017);
insert into purchase_has_album
values (21,1,1);
insert into purchase_has_album
values (21,2,1);
insert into purchase_has_album
values (21,3,1);
insert into purchase_has_album
values (21,4,1);
insert into purchase_has_album
values (21,5,1);
insert into purchase_has_album
values (21,6,1);
insert into purchase_has_album
values (21,7,1);
insert into purchase_has_album
values (21,8,1);
insert into purchase_has_album
values (21,9,1);
insert into purchase_has_album
values (21,10,1);
insert into purchase_has_album
values (21,11,1);
insert into purchase_has_album
values (21,12,1);
insert into purchase_has_album
values (21,13,1);
insert into purchase_has_album
values (21,14,1);
insert into purchase_has_album
values (21,15,1);
insert into purchase_has_album
values (21,16,1);
insert into purchase_has_album
values (21,17,1);
insert into purchase_has_album
values (21,18,1);
insert into purchase_has_album
values (21,19,1);
insert into purchase_has_album
values (21,20,1);
| true |
6a86d8201eacafca4eebb96eab230b069e89a0e7 | SQL | martinmares/OracleUtilities | /UTL$BASE$ERR.package.sql | WINDOWS-1250 | 2,466 | 2.703125 | 3 | [] | no_license | CREATE OR REPLACE
PACKAGE UTL$BASE$ERR
IS
/**
* ======================================================================
* ANNOTATION
* ======================================================================
* Basic package to handle Oracle exceptions (ORA-20xxx errors).
* For package "UTL$BASE"
* ----------------------------------------------------------------------
*
* Dynamically generated package as defined in the table UTL$ERROR_CODES
* Generated: 11/06/2012 20:13:00
* ======================================================================
*/
-- Basic data types inerited from UTL$DATA_TYPES package
SUBTYPE T_SMALL_INTEGER IS UTL$DATA_TYPES.T_SMALL_INTEGER;
SUBTYPE T_BIG_INTEGER IS UTL$DATA_TYPES.T_BIG_INTEGER;
SUBTYPE T_SMALL_STRING IS UTL$DATA_TYPES.T_SMALL_STRING;
SUBTYPE T_BIG_STRING IS UTL$DATA_TYPES.T_BIG_STRING;
SUBTYPE T_MAX_STRING IS UTL$DATA_TYPES.T_MAX_STRING;
SUBTYPE T_USER_MESSAGE IS UTL$DATA_TYPES.T_USER_MESSAGE;
SUBTYPE T_DATE IS UTL$DATA_TYPES.T_DATE;
SUBTYPE T_BOOLEAN IS UTL$DATA_TYPES.T_BOOLEAN;
SUBTYPE T_NUMBER IS UTL$DATA_TYPES.T_NUMBER;
SUBTYPE T_BINARY_INTEGER IS UTL$DATA_TYPES.T_BINARY_INTEGER;
SUBTYPE T_ONE_CHAR IS UTL$DATA_TYPES.T_DB_BOOLEAN;
SUBTYPE T_PLS_INTEGER IS UTL$DATA_TYPES.T_PLS_INTEGER;
-- Mapa s tmto jmnem u existuje
e_MAPA_S_TIMTO_JMENEM_EXISTUJE CONSTANT T_SMALL_INTEGER := - 20001;
MAPA_S_TIMTO_JMENEM_EXISTUJE EXCEPTION;
PRAGMA EXCEPTION_INIT(MAPA_S_TIMTO_JMENEM_EXISTUJE, - 20001);
PROCEDURE call_raise(err_number_in IN T_BIG_INTEGER);
PROCEDURE call_raise(instance_id_in IN T_BIG_INTEGER
,err_number_in IN T_BIG_INTEGER);
FUNCTION get_instance(err_number_in IN T_BIG_INTEGER) RETURN T_BIG_INTEGER;
FUNCTION init_instance(err_number_in IN T_BIG_INTEGER) RETURN T_BIG_INTEGER;
PROCEDURE set_instance(instance_id_in IN T_BIG_INTEGER
,system_err_code_in IN T_BIG_INTEGER DEFAULT NULL
,system_err_message_in IN T_MAX_STRING DEFAULT NULL
,callstack_in IN T_MAX_STRING DEFAULT NULL);
PROCEDURE set_context(instance_id_in IN T_BIG_INTEGER
,name_in IN T_MAX_STRING DEFAULT NULL
,value_in IN T_MAX_STRING DEFAULT NULL);
END UTL$BASE$ERR;
/
| true |
3c8e91465ec7b0e6629114d67ed0b13e87fe5215 | SQL | jl5x4/CS590VC_Midterm | /sqoop_javademo/sqoop.sql | UTF-8 | 387 | 3.078125 | 3 | [] | no_license | -- Drop table Orders if exists
DROP TABLE orders;
-- Creates table Orderes
CREATE TABLE orders (
id INT PRIMARY KEY NOT NULL,
name VARCHAR(20) NOT NULL,
description VARCHAR(60) NOT NULL);
-- SQL script to load data in the tables
LOAD DATA LOCAL INFILE '/home/jeff/orderdata.csv'
INTO TABLE hadoop.orders
FIELDS TERMINATED BY ','
LINES TERMINATED BY '\n'
('id', `name`, `description`);
| true |
5dbf43d2327947e23277f9b47d3500695b501d8f | SQL | LucasOlmedo/TCCFatecZL | /preview3.sql | UTF-8 | 6,491 | 3.546875 | 4 | [] | no_license | /*
SQLyog Ultimate v12.09 (64 bit)
MySQL - 10.1.16-MariaDB : Database - tcc_fateczl
*********************************************************************
*/
/*!40101 SET NAMES utf8 */;
/*!40101 SET SQL_MODE=''*/;
/*!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 */;
CREATE DATABASE /*!32312 IF NOT EXISTS*/`tcc_fateczl` /*!40100 DEFAULT CHARACTER SET utf8 */;
USE `tcc_fateczl`;
/*Table structure for table `aulasemestral` */
DROP TABLE IF EXISTS `aulasemestral`;
CREATE TABLE `aulasemestral` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`id_Curso` int(10) NOT NULL,
`id_Periodo` int(10) NOT NULL,
`id_Disciplina` int(10) NOT NULL,
`id_Professor` int(10) NOT NULL,
`turno` varchar(20) NOT NULL,
`data_inicio` date NOT NULL,
`data_fim` date NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `grade_semestral` (`id_Curso`,`id_Periodo`,`id_Disciplina`,`turno`),
KEY `turno` (`turno`),
KEY `fk_prof123` (`id_Professor`),
KEY `fk_per123` (`id_Periodo`),
KEY `fk_disc123` (`id_Disciplina`),
KEY `fk_curso` (`id_Curso`),
CONSTRAINT `fk_curso123` FOREIGN KEY (`id_Curso`) REFERENCES `curso` (`id_Curso`),
CONSTRAINT `fk_disc123` FOREIGN KEY (`id_Disciplina`) REFERENCES `disciplina` (`id_Disciplina`),
CONSTRAINT `fk_per123` FOREIGN KEY (`id_Periodo`) REFERENCES `periodo` (`id_Periodo`) ON UPDATE CASCADE,
CONSTRAINT `fk_prof123` FOREIGN KEY (`id_Professor`) REFERENCES `professor` (`id_Professor`)
) ENGINE=InnoDB AUTO_INCREMENT=22 DEFAULT CHARSET=utf8;
/*Table structure for table `curso` */
DROP TABLE IF EXISTS `curso`;
CREATE TABLE `curso` (
`id_Curso` int(10) NOT NULL AUTO_INCREMENT,
`nome_curso` varchar(40) NOT NULL,
`abreviacao` varchar(7) NOT NULL,
`carga_horaria` int(6) NOT NULL,
PRIMARY KEY (`id_Curso`)
) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=utf8;
/*Table structure for table `diasemana` */
DROP TABLE IF EXISTS `diasemana`;
CREATE TABLE `diasemana` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`id_Aulasemestral` int(11) NOT NULL,
`dia_semana` tinyint(1) NOT NULL,
`horario_inicio` time NOT NULL,
`horario_fim` time NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `grade_semanal` (`id_Aulasemestral`,`dia_semana`,`horario_inicio`,`horario_fim`),
CONSTRAINT `fk_aula` FOREIGN KEY (`id_Aulasemestral`) REFERENCES `aulasemestral` (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=27 DEFAULT CHARSET=utf8;
/*Table structure for table `disciplina` */
DROP TABLE IF EXISTS `disciplina`;
CREATE TABLE `disciplina` (
`id_Disciplina` int(10) NOT NULL AUTO_INCREMENT,
`nome_disc` varchar(40) NOT NULL,
`abreviacao` varchar(10) NOT NULL,
`externo` int(10) DEFAULT NULL,
PRIMARY KEY (`id_Disciplina`),
KEY `externo` (`externo`),
CONSTRAINT `disciplina_ibfk_1` FOREIGN KEY (`externo`) REFERENCES `horariosexternos` (`id_Hae`)
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8;
/*Table structure for table `grade_curso` */
DROP TABLE IF EXISTS `grade_curso`;
CREATE TABLE `grade_curso` (
`id_Curso` int(10) NOT NULL,
`id_Periodo` int(2) NOT NULL,
`id_Disciplina` int(10) NOT NULL,
`qtde_aulas` int(10) NOT NULL,
PRIMARY KEY (`id_Curso`,`id_Periodo`,`id_Disciplina`),
KEY `fk_disc` (`id_Disciplina`),
KEY `fk_per` (`id_Periodo`),
CONSTRAINT `fk_curso` FOREIGN KEY (`id_Curso`) REFERENCES `curso` (`id_Curso`),
CONSTRAINT `fk_disc` FOREIGN KEY (`id_Disciplina`) REFERENCES `disciplina` (`id_Disciplina`),
CONSTRAINT `fk_per` FOREIGN KEY (`id_Periodo`) REFERENCES `periodo` (`id_Periodo`) ON UPDATE CASCADE
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*Table structure for table `horariosexternos` */
DROP TABLE IF EXISTS `horariosexternos`;
CREATE TABLE `horariosexternos` (
`id_Hae` int(10) NOT NULL,
`tipo` varchar(10) NOT NULL,
PRIMARY KEY (`id_Hae`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*Table structure for table `periodo` */
DROP TABLE IF EXISTS `periodo`;
CREATE TABLE `periodo` (
`id_Periodo` int(2) NOT NULL,
`nome_periodo` varchar(20) NOT NULL,
PRIMARY KEY (`id_Periodo`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*Table structure for table `professor` */
DROP TABLE IF EXISTS `professor`;
CREATE TABLE `professor` (
`id_Professor` int(10) NOT NULL AUTO_INCREMENT,
`nome` varchar(250) NOT NULL,
`rg` varchar(13) NOT NULL,
`categoria` varchar(250) NOT NULL,
`graduacao` varchar(250) NOT NULL,
`contrato` varchar(250) NOT NULL,
`sede` varchar(250) NOT NULL,
`inicio_cps` date NOT NULL,
`inicio_fateczl` date NOT NULL,
PRIMARY KEY (`id_Professor`)
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8;
/*Table structure for table `situacao` */
DROP TABLE IF EXISTS `situacao`;
CREATE TABLE `situacao` (
`id_Situacao` int(10) NOT NULL AUTO_INCREMENT,
`nome` varchar(20) NOT NULL,
PRIMARY KEY (`id_Situacao`)
) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=utf8;
/*Table structure for table `situacao_professor` */
DROP TABLE IF EXISTS `situacao_professor`;
CREATE TABLE `situacao_professor` (
`id_SitProf` int(10) NOT NULL AUTO_INCREMENT,
`id_Professor` int(10) NOT NULL,
`id_Situacao` int(10) NOT NULL,
`data_sit` date NOT NULL,
PRIMARY KEY (`id_SitProf`),
KEY `fk_prof` (`id_Professor`),
KEY `fk_sit` (`id_Situacao`),
CONSTRAINT `fk_prof` FOREIGN KEY (`id_Professor`) REFERENCES `professor` (`id_Professor`),
CONSTRAINT `fk_sit` FOREIGN KEY (`id_Situacao`) REFERENCES `situacao` (`id_Situacao`)
) ENGINE=InnoDB AUTO_INCREMENT=9 DEFAULT CHARSET=utf8;
/*Table structure for table `users` */
DROP TABLE IF EXISTS `users`;
CREATE TABLE `users` (
`ID_USER` int(11) NOT NULL AUTO_INCREMENT,
`USUARIO` varchar(255) NOT NULL,
`SENHA` varchar(255) NOT NULL,
`ID_CURSO` int(11) DEFAULT NULL,
PRIMARY KEY (`ID_USER`),
UNIQUE KEY `USUARIO` (`USUARIO`),
KEY `ID_CURSO` (`ID_CURSO`),
CONSTRAINT `users_ibfk_1` FOREIGN KEY (`ID_CURSO`) REFERENCES `curso` (`id_Curso`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*!40101 SET SQL_MODE=@OLD_SQL_MODE */;
/*!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS */;
/*!40014 SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS */;
/*!40111 SET SQL_NOTES=@OLD_SQL_NOTES */;
| true |
6076de909a574b910d622c6f8df3acf4bd335bca | SQL | creed2020/Projeto-Integrador-site-din-mico | /database.sql | UTF-8 | 7,015 | 3.640625 | 4 | [] | no_license | -- Banco de Dados da Aplicação "Sem Nome"
-- CUIDADO! ALTAMENTE DESTRUTIVO
-- Apague este arquivo quando a modelagem estiver concluída!
-- Apagando o banco de dados caso ele já exista
DROP DATABASE IF EXISTS semnome;
-- Criando o banco de dados em UTF-8 e com buscas case-insensitive
CREATE DATABASE semnome CHARACTER SET utf8 COLLATE utf8_general_ci;
-- Selecionando o banco de dados
USE semnome;
-- Criando a tabela "contatos"
CREATE TABLE contatos (
id INT PRIMARY KEY NOT NULL AUTO_INCREMENT,
data TIMESTAMP DEFAULT CURRENT_TIMESTAMP, -- "AAAA-MM-DD hh:mm:ss"
nome VARCHAR(255) NOT NULL,
email VARCHAR(255) NOT NULL,
assunto VARCHAR(255) NOT NULL,
mensagem TEXT,
campo1 TEXT COMMENT 'Para uso futuro',
campo2 TEXT COMMENT 'Para uso futuro',
status ENUM('recebido', 'lido', 'respondido', 'apagado') DEFAULT 'recebido'
);
-- Criando a tabela "autores"
CREATE TABLE autores (
id_autor INT PRIMARY KEY NOT NULL AUTO_INCREMENT,
data_autor TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
thumb_autor VARCHAR(255) COMMENT 'Uma imagem que representa o autor',
nome_autor VARCHAR(255) COMMENT 'Nome completo que só aparece nos detalhes',
nome_tela VARCHAR(127) NOT NULL COMMENT 'Nome curto que aparece no site',
email VARCHAR(255) NOT NULL,
site VARCHAR(255) COMMENT 'Sites começam com http://',
curriculo TEXT COMMENT 'Um mini-currículo do autor.',
telefone VARCHAR(128),
nascimento DATE COMMENT 'Formato: AAAA-MM-DD',
campo1 TEXT COMMENT 'Para uso futuro',
campo2 TEXT COMMENT 'Para uso futuro',
campo3 TEXT COMMENT 'Para uso futuro',
status_autor ENUM('inativo', 'ativo') DEFAULT 'ativo'
);
-- Criando a tabela "categorias"
CREATE TABLE categorias (
id_categoria INT PRIMARY KEY NOT NULL AUTO_INCREMENT,
categoria VARCHAR(63) NOT NULL,
campo1 TEXT COMMENT 'Para uso futuro'
);
-- Criando a tabela "artigos"
CREATE TABLE artigos (
id_artigo INT PRIMARY KEY NOT NULL AUTO_INCREMENT,
data_artigo TIMESTAMP DEFAULT CURRENT_TIMESTAMP COMMENT 'Pode ser uma data no futuro',
thumb_artigo VARCHAR(255) COMMENT 'Uma imagem pequena que representa o artigo',
titulo VARCHAR(255) NOT NULL,
resumo VARCHAR(255),
texto LONGTEXT COMMENT 'Pode usar HTML e CSS',
autor_id INT NOT NULL COMMENT 'Chave estrangeira',
campo1 TEXT COMMENT 'Para uso futuro',
campo2 TEXT COMMENT 'Para uso futuro',
campo3 TEXT COMMENT 'Para uso futuro',
status_artigo ENUM('inativo', 'ativo') DEFAULT 'ativo',
FOREIGN KEY (autor_id) REFERENCES autores (id_autor)
);
-- Criando a tabela "art_cat"
CREATE TABLE art_cat (
id_art_cat INT PRIMARY KEY NOT NULL AUTO_INCREMENT,
artigo_id INT NOT NULL COMMENT 'Chave estrangeira',
categoria_id INT NOT NULL COMMENT 'Chave estrangeira',
FOREIGN KEY (artigo_id) REFERENCES artigos (id_artigo),
FOREIGN KEY (categoria_id) REFERENCES categorias (id_categoria)
);
-- Inserindo dados em "autores"
-- ou
-- Populando a tabela "autores"
INSERT INTO autores
(
thumb_autor, nome_autor,
nome_tela, email,
site, curriculo,
telefone, nascimento
)
VALUES
(
'https://picsum.photos/200', 'Joca da Silva',
'Joca Silva', 'joca@silva.com',
'http://www.jocasilva.com/', 'Programador desde os 5 anos de idade, quando fez seu primeiro programa para MSX.',
'(21) 98765-4321', '1980-12-22'
),
(
'https://picsum.photos/200', 'Dilermano dos Santos Soares',
'Diler Soares', 'diler@mano.com',
'http://mano.com/', 'Escrevedor de códigos desde a época do CP-500. Programa desde que sofreu um acidente e ficou de castigo.',
'(21) 99887-7665', '1974-04-14'
),
(
'https://picsum.photos/200', 'Marineuza Sirinelson da Costa',
'Mari Siri', 'mari@neuza.com.br',
'http://mari.neuza.com.br/', 'Mecânica de computadores, formada pela faculdade de ciências ocultas da curva do vento, comecou na carreira após seu PC ser afogado nas chuvas do Rio de Janeiro.',
'(21) 98988-9988', '1999-09-09'
)
;
-- Populando a tabela "categorias"
INSERT INTO categorias (categoria) VALUES
('Categoria 1'),
('Categoria 2'),
('Categoria 3'),
('Categoria 4'),
('Categoria 5'),
('Categoria 6'),
('Categoria 7'),
('Categoria 8');
-- Populando a tabela "artigos"
INSERT INTO artigos (
data_artigo,
thumb_artigo,
titulo,
resumo,
texto,
autor_id
) VALUES
(
'2020-02-03 11:44:00',
'https://picsum.photos/201',
'Primeiro creed',
'Veja vykings.',
'<p>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Maecenas hendrerit elit nec est varius tristique.</p><p>Nunc ante tortor, facilisis vel diam lobortis, consequat aliquam lorem.</p><p>Fusce dolor orci, fringilla eget mauris ac, lobortis imperdiet odio. </p>',
'1'
),
(
'2020-02-05 08:12:27',
'https://picsum.photos/202',
'Segundo artigo do meu site',
'Veja como vai aparecer no site, mais este artigo do meu site.',
'<p>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Maecenas hendrerit elit nec est varius tristique.</p><p>Nunc ante tortor, facilisis vel diam lobortis, consequat aliquam lorem.</p><p>Fusce dolor orci, fringilla eget mauris ac, lobortis imperdiet odio. </p>',
'3'
),
(
'2020-02-05 14:30:00',
'https://picsum.photos/199',
'Terceiro artigo publicado',
'Mais um artigo, mais um conteúdo. Veja como esse ficará melhor.',
'<p>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Maecenas hendrerit elit nec est varius tristique.</p><p>Nunc ante tortor, facilisis vel diam lobortis, consequat aliquam lorem.</p><p>Fusce dolor orci, fringilla eget mauris ac, lobortis imperdiet odio. </p>',
'2'
),
(
'2020-02-05 14:31:00',
'https://picsum.photos/198',
'Artigo agendado para um futuro próximo.',
'Como será que o PHP vai saber que este artigo é agendado para o futuro?',
'<p>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Maecenas hendrerit elit nec est varius tristique.</p><p>Nunc ante tortor, facilisis vel diam lobortis, consequat aliquam lorem.</p><p>Fusce dolor orci, fringilla eget mauris ac, lobortis imperdiet odio. </p>',
'1'
),
(
'2020-02-11 18:25:00',
'https://picsum.photos/200',
'Artigo mais novo que os outros.',
'Este artigo é muito novo e você pode consultá-lo.',
'<p>Lorem ipsum dolor sit amet, consectetur adipiscing elit. Maecenas hendrerit elit nec est varius tristique.</p><p>Nunc ante tortor, facilisis vel diam lobortis, consequat aliquam lorem.</p><p>Fusce dolor orci, fringilla eget mauris ac, lobortis imperdiet odio. </p>',
'3'
);
-- Populando a tabela "art_cat"
INSERT INTO art_cat
(artigo_id, categoria_id)
VALUES
(1, 1),
(1, 2),
(1, 6),
(2, 1),
(2, 7),
(2, 8),
(3, 4),
(3, 5),
(3, 7),
(4, 1),
(4, 8),
(5, 3)
; | true |
8f953f8957410269f2e867699a5307282f0e3654 | SQL | bttodd11/mysql | /create_shop.sql | UTF-8 | 783 | 2.90625 | 3 | [] | no_license | CREATE TABLE IF NOT EXISTS shop (
product_id INT UNSIGNED NOT NULL AUTO_INCREMENT,
product_name VARCHAR(20) NOT NULL,
product_desc VARCHAR(200) NOT NULL,
product_price DECIMAL(5,2) NOT NULL,
product_sz VARCHAR(20) NOT NULL,
PRIMARY KEY(product_id));
INSERT INTO shop
(product_name,product_desc,product_price,product_sz)
VALUES
("Air Max 1", "Atomos","399","13"),
("Air Max 97", "Silver Bullet","199","10"),
("Air Max 97", "Desert","170","13"),
("Air Max 98", "Hype","140","12"),
("Jordan XIV", "Black Toes","250","13"),
("Jordan XIII", "Flint","499","13"),
("Air Max 95", "Lava","150","13"),
("Air Max 90", "Independence","299","13"),
("Nike Nomo", "Blue","109","12"),
("Air Max 96", "Original","199","13"),
("Air Max 1", "Nike ID","130","13");
EXPLAIN shop; SELECT * FROM shop;
| true |
fc72bace89701e975fe3b337e0faa16b11d18c78 | SQL | EBISPOT/goci | /goci-core/goci-db-binding/src/main/resources/db/migration/V1.9.9_003__Disable_wrong_constraint.sql | UTF-8 | 981 | 2.671875 | 3 | [
"Apache-2.0",
"LicenseRef-scancode-warranty-disclaimer"
] | permissive | /*
################################################################################
Migration script to remove a wrong constraint created in 002
Designed for execution with Flyway database migrations tool; this should be
automatically run to completely generate the schema that is out-of-the-box
compatibile with the GOCI model (see
https://github.com/tburdett/goci/tree/2.x-dev/goci-core/goci-model for more).
author: Tony Burdett
date: January 21st 2015
version: 1.9.9.003 (pre 2.0)
################################################################################
*/
/*
###########################################
# REMOVE WRONG CONSTRAINT ON JOIN TABLE #
###########################################
*/
--------------------------------------------------------
-- Drop constraint on Table ASSOCIATION_EFO_TRAIT
--------------------------------------------------------
ALTER TABLE "ASSOCIATION_EFO_TRAIT" DROP CONSTRAINT "ASSOC_TRAIT_ID_UK";
DROP INDEX "ASSOC_TRAIT_ID_UK";
| true |
1971c19e3319fae861fae6adadf975c996b949d3 | SQL | Gafkcenter/warm_v15 | /gafker.manage/gafker-manage-web/src/main/resources/sql/wo_timetable.sql | UTF-8 | 2,082 | 2.984375 | 3 | [] | no_license | CREATE TABLE `wo_timestable` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`start_time` int(11) DEFAULT '0' COMMENT 'int开始时间',
`start_time_string` varchar(255) DEFAULT NULL COMMENT '开始时间串',
`start_time_date` timestamp NULL DEFAULT NULL ON UPDATE CURRENT_TIMESTAMP COMMENT '日期',
`day_start` int(11) DEFAULT NULL COMMENT '一天的开始时间int',
`day_start_string` varchar(255) DEFAULT NULL COMMENT '一天的开始时间串',
`start_day_key` varchar(10) DEFAULT NULL COMMENT 'daykey yyyy-MM-dd',
`end_time` int(11) DEFAULT '0' COMMENT 'int结束时间',
`end_time_string` varchar(255) DEFAULT NULL COMMENT '结束时间串',
`end_time_date` timestamp NULL DEFAULT NULL ON UPDATE CURRENT_TIMESTAMP COMMENT '日期',
`start_day_end` int(11) DEFAULT NULL COMMENT '开始时间当天结束的23.59.59秒的int',
`start_day_end_string` varchar(255) DEFAULT NULL COMMENT '开始时间当天结束的23.59.59秒的时间串',
`end_day_key` varchar(10) DEFAULT NULL COMMENT 'daykey yyyy-MM-dd',
`time_zone` int(11) DEFAULT '0' COMMENT '时区数字',
`time_zone_etc` varchar(255) DEFAULT 'Etc/GMT+0' COMMENT '时区ETC',
`time_zone_gmt` varchar(255) DEFAULT 'GMT+00:00' COMMENT '时区GMT',
`duration_start_day` int(11) DEFAULT '0' COMMENT '属于前一天的时间(分钟)',
`duration_end_day` int(11) DEFAULT '0' COMMENT '属于后一天的时间(分钟)',
`duration_total` int(11) DEFAULT NULL,
`tel` varchar(255) DEFAULT NULL,
`tel_prefix` varchar(255) DEFAULT NULL,
`country` varchar(255) DEFAULT NULL COMMENT '国家',
`country_code` varchar(255) DEFAULT NULL COMMENT '国家码',
`language` varchar(255) DEFAULT NULL COMMENT '语言',
`ip` varchar(255) DEFAULT NULL COMMENT 'ip',
`create_time` int(11) DEFAULT NULL COMMENT '创建时间int',
`update_time` int(11) DEFAULT NULL COMMENT '更新时间int',
`user_id` bigint(20) DEFAULT NULL COMMENT '用户Id',
`content_obj` varchar(255) DEFAULT NULL COMMENT '主要内容',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=535 DEFAULT CHARSET=utf8mb4;
| true |
901c6ea37cae715618dac0223c0daaf49c4fa421 | SQL | aemooooon/Database-MSSQLSERVER | /Answers/Week3Lab1Answers-UPDATE-DELETE.sql | UTF-8 | 1,810 | 4.1875 | 4 | [] | no_license | /*
Using Transact-SQL : Exercises
------------------------------------------------------------
/*
Exercises for section 9 : UPDATE
*In all exercises, write the answer statement and then execute it.
e9.1 Change the name of IN628 to 'Object-Oriented Software Development (discontinued after 2019)'
update Paper
set PaperName = 'Object-Oriented Software Development (discontinued after 2019)'
where PaperID = 'IN628'
e9.2 For all the semesters that start after 01-June-2018, alter the end date
to be 14 days later than currently recorded.
update Semester
set EndDate = dateadd(day, 14, EndDate)
where StartDate > '01-June-2018'
e9.3 Imagine a strange enrolment requirement regarding the students
enrolled in IN328 for 2020S1 [Ensure your database has all the records
created by exercise e8.4]: all students with short names [length of FullName
is less than 12 characters] must have their enrolment moved
from 2020S1 to 2019S2. Write a statement that will perform this enrolment change.
--Ensure you create the related PaperInstance
insert PaperInstance values ('IN238', '2019S2')
--Perform the Enrolment change
update Enrolment
set SemesterID = '2019S2'
where PaperID = 'IN238'
and SemesterID = '2020S1'
and PersonID in (select PersonID from Person where len(FullName) <12)
Exercises for section 10 : DELETE
*In all exercises, write the answer statement and then execute it.
e10.1 Write a statement to delete all enrolments for IN238 Extraspecial Topic in semester 2020S11.
delete Enrolment
where PaperID = 'IN238' and SemesterID = '2020S1'
e10.2 Delete all PaperInstances that have no enrolments.
delete PaperInstance
from PaperInstance i
left join Enrolment e
on i.PaperID = e.PaperID and i.SemesterID = e.SemesterID
where e.PaperID is null | true |
8fa294487c21648a1c455e0e19e487a96515d336 | SQL | liulehui/mini_atp | /schema/11.sql | UTF-8 | 302 | 3.953125 | 4 | [] | no_license | //Past champions and how many times given tournament ID
SELECT first_name||' '||last_name as name, COUNT (start_year) as count
FROM
tournament INNER JOIN players ON tournament.singer_winner_id = players.id
WHERE tournament.tournament_id = 540
group by first_name,last_name
order by count desc;
| true |
63cc51b3034237b9590b66a532fc476b3b3ee75a | SQL | Sagar9794/SQL_IPL_Bidding_App | /IPL_Project.sql | UTF-8 | 4,425 | 4.375 | 4 | [] | no_license | select * from ipl_bidder_details;
select * from ipl_bidder_points;
select * from ipl_bidding_details;
select * from ipl_match;
select * from ipl_match_schedule;
select * from ipl_player;
select * from ipl_stadium;
select * from ipl_team;
select * from ipl_team_players;
select * from ipl_team_standings;
select * from ipl_tournament;
select * from ipl_user;
/*1. Show the percentage of wins of each bidder in the order of highest to lowest percentage.*/
#creating view for percentage calculation:
create view q1 as
select ibgd.bidder_id, NO_OF_BIDS, BID_STATUS, sum(if (BID_STATUS='won' , 1, 0))win_status
from ipl_bidder_points ibp
join ipl_bidding_details ibgd
on ibp.BIDDER_ID=ibgd.BIDDER_ID
group by BIDDER_ID;
#percentage calculation:
select bidder_id , (win_status*100/ no_of_bids)percentage from q1
group by bidder_id order by percentage desc;
# using CTE
use ipl;
with bid (id,no_of_bids, bid_status,win_status) as
(
select ibgd.bidder_id, NO_OF_BIDS, BID_STATUS, sum(if (BID_STATUS='won' , 1, 0))win_status
from ipl_bidder_points ibp
join ipl_bidding_details ibgd
on ibp.BIDDER_ID=ibgd.BIDDER_ID
group by BIDDER_ID
)
select id,no_of_bids, bid_status,(win_status*100/no_of_bids)percentage from bid;
/*2. Which teams have got the highest and the lowest no. of bids?*/
#highest no of bids:
select it.TEAM_ID, count(*)total_number_of_bids, REMARKS,TEAM_NAME
from ipl_bidding_details ibgd
join ipl_team it on ibgd.BID_TEAM=it.TEAM_ID
group by TEAM_ID order by total_number_of_bids desc limit 1;
#lowest no of bids:
select it.TEAM_ID, count(*)total_number_of_bids, REMARKS,TEAM_NAME
from ipl_bidding_details ibgd
join ipl_team it on ibgd.BID_TEAM=it.TEAM_ID
group by TEAM_ID order by total_number_of_bids limit 0,3;
/*3. In a given stadium, what is the percentage of wins by a team which had won the toss?*/
#creating view for toss and match winner teams:
create view winner as
select a.match_id,tosswinner, matchwinner
from (select *, case
when toss_winner = 1 then team_id1
else team_id2 end as tosswinner
from ipl_match)a
join
(select *, case
when match_winner = 1 then team_id1
else team_id2 end as matchwinner
from ipl_match)b
on a.MATCH_ID=b.MATCH_ID;
#joining the view with stadium details:
create view stadium as
select w.match_id, ims.stadium_id, STADIUM_NAME , tosswinner, matchwinner
from winner w
join ipl_match_schedule ims on w.MATCH_ID=ims.MATCH_ID
join ipl_stadium ist on ims.STADIUM_ID= ist.STADIUM_ID;
select a.match_id, a.stadium_id, a.stadium_name, a.tosswinner tosswinner_teamID, (c*100/c1)win_percentage
from (select *, count(*)c1 from stadium group by stadium_id)a
join
(select match_id, stadium_id, stadium_name, tosswinner, matchwinner, count(*)c from stadium
where tosswinner= matchwinner group by stadium_id order by stadium_name)b
on a.stadium_id=b.stadium_id;
/*4. What is the total no. of bids placed on the team that has won highest no. of matches?*/
select it.TEAM_ID, it.TEAM_NAME, total_wins, total_number_of_bids
from
(select *, count(*)total_wins from winner group by matchwinner order by count(*) desc limit 1)a #team that won highest no of matches
join ipl_team it on a.matchwinner= it.TEAM_ID #get the team id of most won team
join ( select it.TEAM_ID, count(*)total_number_of_bids, REMARKS,TEAM_NAME
from ipl_bidding_details ibgd
join ipl_team it on ibgd.BID_TEAM=it.TEAM_ID
group by TEAM_ID)total_bids_table # this table is for calculating total_bids
on total_bids_table.TEAM_ID= it.TEAM_ID; # join to get the team_id
/*5. From the current team standings, if a bidder places a bid on which of the teams,
there is a possibility of (s)he winning the highest no. of points – in simple words,
identify the team which has the highest jump in its total points (in terms of percentage)
from the previous year to current year.*/
select it.team_id, TEAM_NAME,TEAM_CITY,percentage from (select 2017points.team_id,
(2018points.total_points- 2017points.total_points)*100/(2017points.total_points)percentage
from
(select * from ipl_team_standings where TOURNMT_ID =2017 group by TEAM_ID)2017points
join
(select * from ipl_team_standings where TOURNMT_ID =2018 group by TEAM_ID)2018points
on 2017points.TEAM_ID= 2018points.team_id
order by percentage desc limit 1)highestjumpedteam
join
ipl_team it on highestjumpedteam.team_id= it.team_id; | true |
0b7082e03422aef18630ef67729b43dbf49f35fe | SQL | bayuwijaya/buku_pintar_webmaster | /sql/kayarawan&infokaryawan.sql | UTF-8 | 29,264 | 3.21875 | 3 | [] | no_license | C:\Users\myasus>cd \xampp\mysql\bin
C:\xampp\mysql\bin>mysql -u root
Welcome to the MariaDB monitor. Commands end with ; or \g.
Your MariaDB connection id is 5
Server version: 10.1.19-MariaDB mariadb.org binary distribution
Copyright (c) 2000, 2016, Oracle, MariaDB Corporation Ab and others.
Type 'help;' or '\h' for help. Type '\c' to clear the current input statement.
MariaDB [(none)]> CREATE DATABASE bisnis;
Query OK, 1 row affected (0.01 sec)
MariaDB [(none)]> use bisnis;
Database changed
MariaDB [bisnis]> CREATE TABLE karyawan (id INT(3) NOT NULL AUTO_INCREMENT, nama_belakang VARCHAR(50), nama_depan VARCHAR(25), jabatan VARCHAR(10) DEFAULT 'staf' NULL, PRIMARY KEY(id));
MariaDB [bisnis]> DESCRIBE karyawan;
MariaDB [bisnis]> DROP TABLE karyawan;
MariaDB [bisnis]> CREATE TABLE karyawan (id INT(3) NOT NULL AUTO_INCREMENT, full_name VARCHAR(50), job_desk VARCHAR(50), age INT(3), sallary BIGINT(15), PRIMARY KEY(id));
USE bisnis;
INSERT INTO karyawan (full_name, age, job_desk, sallary) VALUES ('Lara Croft', 28, 'Sekretaris', 1950000);
INSERT INTO karyawan (full_name, age, job_desk, sallary) VALUES ('Bambang Gentolet', 32, 'Programmer', 4530000);
INSERT INTO karyawan (full_name, age, job_desk, sallary) VALUES ('Dicky Sumilar', 45, 'Programmer II', 7502000);
USE bisnis;
SELECT * FROM karyawan;
-- Membuat Table Infokaryawan
USE bisnis;
CREATE TABLE infokaryawan (nama VARCHAR(25) NOT NULL, marga VARCHAR(10) NOT NULL, id CHAR(5) NOT NULL, umur CHAR(3) NOT NULL, kota VARCHAR(10) NOT NULL, provinsi VARCHAR(15) NOT NULL);
-- Insert Data Tabel infokaryawan
USE bisnis;
INSERT INTO infokaryawan (nama, marga, id, umur, kota, provinsi) VALUES ('Bambang', 'Lukito', 99980, 45, 'Magelang', 'Jawa Tengah');
INSERT INTO infokaryawan (nama, marga, id, umur, kota, provinsi) VALUES ('Retno', 'Julaika', 99982, 25, 'Yogyakarta', 'Yogyakarta');
INSERT INTO infokaryawan (nama, marga, id, umur, kota, provinsi) VALUES ('Marven', 'Pagaribuan', 88232, 32, 'Semarang', 'Jawa Tengah');
INSERT INTO infokaryawan (nama, marga, id, umur, kota, provinsi) VALUES ('MeryA', 'Andani', 88233, 32, 'Bantul', 'Yogyakarta');
INSERT INTO infokaryawan (nama, marga, id, umur, kota, provinsi) VALUES ('Salim', 'Gunawan', 98002, 42, 'Kudus', 'JawaTengah');
INSERT INTO infokaryawan (nama, marga, id, umur, kota, provinsi) VALUES ('Sugiarto', 'Lumbono', 92001, 23, 'Pekalongan', 'JawaTengah');
INSERT INTO infokaryawan (nama, marga, id, umur, kota, provinsi) VALUES ('Andi', 'Priyanto', 22322, 35, 'Tegal', 'JawaTengah');
INSERT INTO infokaryawan (nama, marga, id, umur, kota, provinsi) VALUES ('Mery', 'Lestari', 32326, 52, 'Purwokerto', 'JawaTengah');
INSERT INTO infokaryawan (nama, marga, id, umur, kota, provinsi) VALUES ('Erika', 'Waluyo', 32327, 60, 'Temanggung', 'JawaTengah');
INSERT INTO infokaryawan (nama, marga, id, umur, kota, provinsi) VALUES ('Lumintu', 'Rahayu', 32380, 22, 'Parakan', 'JawaTengah');
INSERT INTO infokaryawan (nama, marga, id, umur, kota, provinsi) VALUES ('Andi', 'Sapta', 32382, 22, 'Kudus', 'JawaTengah');
-- Statement SELECT
USE bisnis;
SELECT nama, kota FROM infokaryawan WHERE nama LIKE 'Bam%';
-- menampilkan semua nama yang diawali dengan Bam, Ingat kembali, String harus diapit oleh tanda kutip tunggal
SELECT nama FROM infokaryawan WHERE nama LIKE '%s';
-- mengambil semua nama yang diakhiri dengan huruf S
SELECT * FROM infokaryawan WHERE nama = 'Bambang';
-- menampilkan karyawan yang namanya 'Bambang'
-- Latihan Statement SELECT
SELECT nama, marga, kota FROM infokaryawan;
-- menampilkan isi kolom nama, marga, kota dari tabel infokaryawan
SELECT nama, kota, umur FROM infokaryawan WHERE umur > 30;
-- menampilkan isi kolom nama, kota, umur dari tabel infokaryawan dimana syarat kondisinya isi kolom umur > 30
SELECT nama, marga, kota, provinsi FROM infokaryawan WHERE marga LIKE 'J%';
-- menampilkan isi kolom nama, marga, kota, provinsi dari tabel infokaryawan dimana syarat kondisinya isi kolom marga harus berawalan huruf J
SELECT * FROM infokaryawan;
-- menampilkan isi semua kolom dari tabel infokaryawan
SELECT nama, marga FROM infokaryawan WHERE marga LIKE '%o';
-- menampilkan isi kolom nama, marga dari tabel infokaryawan dimana syarat kondisinya isi kolom marga harus berakhiran huruf o
SELECT nama, marga, umur FROM infokaryawan WHERE marga LIKE '%iyan%';
-- menampilkan isi kolom nama, marga, umur dari tabel infokaryawan dimana syarat kondisinya isi kolom marga harus diantara huruf iyan
SELECT * FROM infokaryawan WHERE nama = 'Andi';
-- menampilkan semua isi kolom dari tabel infokaryawan dimana syarat kondisinya isi kolom nama sama dengan 'Andi'
-- Test SELECT
-- 1. Menampilkan marga dan umur untuk semua orang dalam tabel
SELECT marga, umur FROM infokaryawan;
-- 2. Menampilkan nama, marga dan kota untuk orang-orang yang tidak berasal dari kudus
SELECT nama, marga, kota FROM infokaryawan WHERE kota <> 'kudus';
-- 3. Menampilkan semua kolom dari para karyawan yang berumur lebih dari 40 tahun
SELECT * FROM infokaryawan WHERE umur > 40;
-- 4. Menampilkan nama dan marga karyawan yang marganya diakhiri dengan "an"
SELECT nama, marga FROM infokaryawan WHERE marga LIKE '%an';
-- 5. Menampilkan semua kolom untuk karyawan yang namanya "Mery"
SELECT * FROM infokaryawan WHERE nama = 'Mery';
-- 6. Menampilkan semua kolom untuk karyawan yang namanya mengandung kata "Mery"
SELECT * FROM infokaryawan WHERE nama LIKE '%Mery%';
-- Statement UPDATE
UPDATE infokaryawan SET kota = 'Muntilan' WHERE id = 99980;
UPDATE infokaryawan SET umur = umur+1 WHERE nama = 'Retno' AND marga = 'Julaika';
-- Statement DELETE
-- Berfungsi Menghapus Seluruh isi Record/Baris dalam sebuah Tabel
DELETE FROM infokaryawan;
-- Berfungsi Menghapus isi Record/Baris dalam sebuah Tabel dengan syarat suatu kondisinya
DELETE FROM infokaryawan WHERE marga = 'Lukito';
-- Berfungsi Menghapus isi Record/Baris dalam sebuah Tabel dengan kondisi 2 Syarat / Salah satunya
DELETE FROM infokaryawan WHERE nama = 'Bambang' OR marga = 'Sapta';
-- Statement DROP
-- Berfungsi Menghapus Database Beserta Seluruh Tabelnya
DROP DATABASE bisnis;
-- Berfungsi Menghapus Tabel Beserta Seluruh Isi Data Record/Baris
DROP TABLE infokaryawan;
-- Lebih Lanjut tentang SELECT
-- Format Umum SELECT
SELECT "ALL|DISTINCT" kolom1, kolom2
FROM tabel1, tabel2
WHERE kondisi
GROUP BY daftar_kolom
HAVING kondisi
ORDER BY daftar_kolom "ASC|DESC"
LIMIT numbers ;
SELECT nama, marga, umur FROM infokaryawan WHERE umur > 50;
-- Statement diatas akan memilih semua nilai kolom nama, marga dan umur dari tabel infokaryawan yang umurnya lebih dari 50 tahun
SELECT nama, marga, kota FROM infokaryawan WHERE nama LIKE 'Mer%';
-- Statement diatas akan memilih semua nilai kolom nama, marga dan kota dari tabel infokaryawan yang namanya diawali dengan 'Mer'
SELECT DISTINCT provinsi FROM infokaryawan;
-- Statement ini akan menampilkan semua provinsi yang unik dalam tabel infokaryawan
SELECT ALL provinsi FROM infokaryawan;
-- Statement ini akan menampilkan semua provinsi yang sama & unik dalam tabel infokaryawan
-- Latihan Review SELECT
SELECT idpelanggan, nama_barang, harga FROM pemesanan_barang WHERE idpelanggan = 10449;
SELECT * FROM pemesanan_barang WHERE nama_barang = 'Tenda';
SELECT idpelanggan, tanggal_pemesanan, nama_barang FROM pemesanan_barang WHERE nama_barang LIKE 'S%';
SELECT DISTINCT nama_barang FROM pemesanan_barang;
SELECT purchase.tanggal_pemesanan, costumer.nama, costumer.kota, purchase.nama_barang, purchase.jumlah, purchase.harga
FROM pelanggan AS costumer, pemesanan_barang AS purchase
WHERE costumer.idpelanggan = purchase.idpelanggan AND purchase.jumlah > 1 AND purchase.harga >= 150000;
-- Fungsi Agregat
/*
Fungsi Agregat digunakan untuk melakukan perhitungan pada "kolom data numerik" hasil dari perintah SELECT
fungsi2 tersebut pada dasarnya melakukan proses terhadap hasil pemilihan data dari kolom tertentu. Anda akan mempelajari
disini karena mereka akan anda perlukan untuk mempelajari topik berikutnya, "GROUP BY". Meskipun fungsi agregat diperlukan
oleh klausul "GROUP BY", mereka dapat digunakan tanpa klausul tersebut.
Example
*/
SELECT AVG(harga) FROM pemesanan_barang;
/*
Perintah diatas akan menghasilkan hasil tunggal yang merupakan
nilai rata-rata dari semua yang dihasilkan dari kolom harga pada tabel
pemesanan_barang. Anda juga bisa menambahkan klausa WHERE untuk mencari
rata-rata dari baris-baris tertentu saja.
Contoh :
Misalnya anda hanya memerlukan rata-rata harga barang yang jumlah stoknya 1,
maka querynya bisa seperti ini.
*/
SELECT AVG(harga) FROM pemesanan_barang WHERE jumlah = 4;
/*
Contoh lain :
*/
SELECT COUNT(*) FROM pemesanan_barang;
/*
Perintah tersebut agak berbeda dibandingkan fungsi agregat lain
karena tidak ada satu kolom-pun yang dijadikan referensi. perintah ini
akan menghasilkan jumlah baris dalam tabel pemesanan_barang.
*/
SELECT COUNT(*) FROM pemesanan_barang WHERE jumlah > 1;
/*
Fungsi MIN
Menghasilkan nilai terkecil pada kolom yang ditentukan
*/
SELECT MIN(harga) AS smallest_price FROM pemesanan_barang;
/*
Fungsi MAX
Menghasilkan nilai terbesar pada kolom yang ditentukan
*/
SELECT MAX(harga) AS largest_price FROM pemesanan_barang;
/*
Fungsi SUM
Menghasilkan jumlah dari nilai-nilai pada kolom yang ditentukan
*/
SELECT SUM(harga) FROM pemesanan_barang;
/*
Fungsi AVG
Menghasilkan nilai rata-rata dari kolom yang ditentukan
*/
SELECT AVG(harga) FROM pemesanan_barang WHERE tanggal_pemesanan = '1999-07-01';
/*
Fungsi COUNT
Menghasilkan Jumlah baris pada kolom yang ditentukan
*/
SELECT COUNT(idpelanggan) FROM pemesanan_barang WHERE harga > 380000;
/*
-- GROUP BY
/*
Klausul GROUP BY akan mengelompokkan baris-baris berisi data dalam kolom-kolom yang anda tentukan dan memungkinkan penerapan fungsi agregat
terhadap satu atau lebih kolom. anda akan lebih mudah memahami dengan melihat contohnya nanti.
Syntax klausul GROUP BY
*/
SELECT kolom1, SUM(kolom2)
FROM "daftar-tabel"
GROUP BY "daftar-kolom";
/*
Misalkan Anda ingin membuat daftar gaji tertinggi dari setiap departemen
*/
SELECT MAX(gaji), departemen FROM infokaryawan GROUP BY departemen;
/*
Perintah tersebut akan memilih gaji maksimum dari orang-orang yang berada di setiap departemen
Pada dasarnya, yang akan ditampilkan adalah gaji orang terbesar dari setiap departemen. Ingatlah,
Anda juga dapat melakukan pengelompokkan dengan lebih dari satu kolom. Pengelompokkan akan dilakukan
secara berurutan mulai dari kolom yang paling dulu anda tuliskan.
Sebagai contoh, silahkan lihat lagi tabel pemesanan_barang. katakanlah anda ingin mengelompokkan
pemesanan dengan jumlah 1, 2, 3, dan seterusnya. Jika anda ingin menentukkan berapa harga yang termahal
dari setiap jumlah pembelian yang dikelompokkan tersebut (semua jumlah pembelian 1, 2, 3, dst) Anda
akan memasukkan :
*/
SELECT jumlah, MAX(harga) FROM pemesanan_barang GROUP BY jumlah;
-- HAVING
/*
Klausul HAVING memungkinkan anda untuk menentukan kondisi pada baris dalam setiap grup - atau dengan kata lain,
baris mana yang harus dipilih akan ditentukan berdasarkan kondisi yang anda tentukan. Klausul HAVING harus disertai
klausul GROUP BY
Syntax klausul HAVING
*/
SELECT kolom1, SUM(kolom2)
FROM "daftar-tabel"
GROUP BY "daftar-kolom"
HAVING "kondisi";
/*
Katakanlah anda memiliki tabel karyawan yang terdiri dari kolom nama, departemen, gaji dan umur karyawan anda. Jika
anda ingin memilih gaji rata-rata untuk setiap karyawan untuk setiap departemen, anda dapat menggunakan :
*/
SELECT departemen, AVG(gaji) FROM infokaryawan GROUP BY departemen;
/*
Namun demikian, jika anda hanya ingin menghitung dan menampilkan rata-rata untuk gaji di atas 2700 saja, maka query
tersebut harus kita tambah klausul HAVING seperti ini.
*/
SELECT departemen, AVG(gaji) FROM infokaryawan GROUP BY departemen HAVING AVG(gaji) > 2700;
-- Latihan Review GROUP BY & HAVING
SELECT provinsi, COUNT(*) AS jumlah_pelanggan FROM pelanggan GROUP BY provinsi HAVING COUNT(*) > 1;
SELECT nama_barang, MAX(harga), MIN(harga) FROM pemesanan_barang GROUP BY nama_barang HAVING MAX(harga) > 300000;
SELECT idpelanggan, COUNT(*), jumlah FROM pemesanan_barang GROUP BY idpelanggan HAVING jumlah > 1 ;
-- ORDER BY
/*
ORDER BY adalah klausul opsional yang akan memungkinkan anda untuk menampilkan hasil query anda berurutan
(baik urutan naik maupun turun) berdasarkan kolom yang anda tentukan untuk diurutkan
Syntax klausul ORDER BY
*/
SELECT kolom1, SUM(kolom2)
FROM "daftar-table"
ORDER BY
"daftar-kolom" [ASC | DESC];
/*
[] = Opsional
Perintah di atas akan memilih id_karyawan, departemen, nama, umur, dan gaji dari tabel infokaryawan
di mana departemennya adalah 'Sales' dan akan menampilkan daftar secara berurutan kecil ke besar (default)
berdasarkan gaji mereka.
Sebagai catatan, anda bisa memilih ASC dan DESC untuk mengurutkan dengan cara berbeda.
ASC = Urutan kecil ke besar - default
DESC = Urutan besar ke kecil
Contoh
*/
SELECT id, departemen, nama, umur, gaji FROM infokaryawan WHERE departemen = 'Marketing' ORDER BY gaji;
/*
Jika Anda ingin untuk mengurutkan berdasarkan beberapa kolom, anda harus memisahkan antar kolom dengan koma.
jika salah satu kolom tidak menuliskan cara pengurutan [ASC | DESC] maka kolom itu di urutkan 'ASC' secara
DEFALUT.
*/
SELECT id, departemen, nama, umur, gaji FROM infokaryawan WHERE departemen = 'Marketing' ORDER BY umur, gaji DESC;
/*
Pernyataan SQL diatas memilih id, departemen, nama, umur, gaji dari tabel "infokaryawan", diurutkan berdasarkan
kolom "umur" dan "gaji". Ini berarti bahwa ia diurutkan berdasarkan 'umur' ASC, tetapi jika beberapa baris memiliki 'umur' yang sama,
ia diurutkan berdasarkan gaji dengan cara 'DESC':
*/
-- Menggabungkan Kondisi dan Operator Boolean
/*
Operator AND dapat digunakan untuk menggabungkan 2 kondisi atau lebih pada klausul 'WHERE'. kedua sisi AND harus bernilai benar
agar kondisinya terpenuhi dan baris yang diinginkan dapat tampil.
*/
SELECT kolom1, SUM(kolom2)
FROM "daftar-table"
WHERE "kondisi1" AND "kondisi2";
/*
Operator OR juga dapat digunakan untuk menggabungkan 2 kondisi atau lebih pada klausul WHERE. Namun demikian,
hanya salah satu sisi saja yang harus bernilai benar agar kondisi yang diinginkan dapat terpenuhi. Operator OR
mensyaratkan salah satu atau kedua sisi bernilai benar
*/
SELECT id, nama, marga, jabatan, gaji FROM infokaryawan WHERE gaji >= 2700 AND jabatan = 'Staff';
/*
Perintah di atas akan memilih id, nama, marga, jabatan, dan gaji dari tabel infokaryawan yang gajinya
lebih dari atau sama dengan 2700 dan jabatannya 'Staff'. kedua kondisi ini harus terpenuhi agar record
tertentu dapat ditampilkan. jika salah satu tidak terpenuhi, maka record tidak akan ditampilkan.
Meskipun tidak disyaratkan, anda dapat menggunakan tanda kurung pada kondisi yang anda tentukan untuk
memudahkan pembacaan.
*/
SELECT id, nama, marga, jabatan, gaji FROM infokaryawan WHERE (gaji >= 2700) AND (jabatan = 'Manager');
SELECT nama, marga, jabatan, gaji FROM infokaryawan WHERE (departemen = 'Admin') OR (departemen = 'IT');
/*
Perintah tersebut akan memilih nama, marga, jabatan, dan gaji dari tabel infokaryawan di mana departemennya 'Admin' atau 'IT'
*/
-- Latihan Review Menggabungkan 'Kondisi' dan 'Operator Boolean'
SELECT idpelanggan, tanggal_pemesanan, nama_barang FROM pemesanan_barang WHERE (nama_barang <> 'Sepatu Salju') XOR (nama_barang <> 'Pelindung Telinga');
SELECT nama_barang, harga FROM pemesanan_barang WHERE (nama_barang LIKE 'S%') OR (nama_barang LIKE 'P%') OR (nama_barang LIKE 'F%');
-- Operator Kondisional IN dan BETWEEN
/*
Penggunaan Operator dalam klausul WHERE sudah sangat membantu kita memilih data mana saja yang akan ditampilkan. namun demikian,
pada saat kriterianya menjadi sangat banyak, maka penulisan query menggunakan operator logika dan perbandingan akan menghasilkan
query yang sangat panjang
MySQL memiliki solusi lain untuk mengatasi masalah ini yaitu menggunakan operator kondisional IN dan BETWEEN
Berikut bentuk umumnya
*/
SELECT kol1, SUM(kol2)
FROM "daftar-table"
WHERE kol3 IN (daftar-nilai);
SELECT kol1, SUM(kol2)
FROM "daftar-table"
WHERE kol3 BETWEEN nilai1 AND nilai2;
/*
Operator kondisional IN merupakan operator pengetesan untuk beberapa nilai sekaligus. untuk itu, operator tersebut digunakan
untuk menguji apakah sebuah nilai (yang ditulis sebelum keyword IN) berada dalam daftar nilai yang disediakan setelah keyword IN.
Contoh :
*/
SELECT id, marga, gaji FROM infokaryawan WHERE marga IN ('Siregar', 'Pasaribu', 'Saragih', 'Lumbono');
/*
Perintah tersebut akan menampilkan id, marga, gaji dari tabel infokaryawan yang marganya siregar, pasaribu, saragih, atau lumbono.
perintah tersebut akan memunculkan baris-baris yang memiliki salah satu dari nilai-nilai tersebut.
Operator kondisional IN dapat ditulis juga dengan menggunakan kondisi gabungan menggunakan operator sama dengan yang dikombinasikan
dengan OR dengan hasil yang sama persis
*/
SELECT id, marga, gaji FROM Infokaryawan WHERE marga = 'Siregar' OR marga = 'Pasaribu' OR marga = 'Saragih' OR marga = 'Lumbono';
/*
Jika anda bandingkan, operator IN jauh lebih pendek dan mudah untuk dibaca saat anda akan menguji lebih dari 2 atau 3 nilai.
Anda juga dapat menggunakan NOT IN untuk mengecualikan baris-baris dalam daftar anda
*/
SELECT id, marga, gaji FROM infokaryawan WHERE marga NOT IN ('Siregar', 'Pasaribu', 'Saragih', 'Lumbono');
/*
Operator kondisional BETWEEN digunakan untuk menguji apakah sebuah nilai (yang ditulis sebelum keyword BETWEEN) berada
"diantara: 2 nilai yang disebutkan sesudah keyword BETWEEN".
Contoh :
*/
SELECT id, umur, marga, gaji FROM infokaryawan WHERE umur BETWEEN 30 AND 40;
/*
perintah akan memilih id, umur, marga, dan gaji dari tabel infokaryawan yang berumur
antara 30 dan 40 tahun (termasuk juga yang berumur 30 dan 40 tahun). Dapat juga ditulis tanpa operator
BETWEEN sebagai berikut :
*/
SELECT id, umur, marga, gaji FROM infokaryawan WHERE umur >= 30 AND umur <= 40;
/*
Anda dapat juga menggunakan NOT BETWEEN untuk melakukan hal sebaliknya yaitu mengecualikan nilai di antara interval yang anda buat
*/
SELECT id, umur, marga, gaji FROM infokaryawan WHERE umur NOT BETWEEN 30 AND 40;
/*
-- Operator Matematik
/*
Standar ANSI mendukung 4 operator aritmetika pertama dari tabel berikut.
Symbol Fungsi
+ penjumlahan
- pengurangan
* Perkalian
/ Pembagian
% Modulus
Implementasi :
*/
SELECT full_name, age + 1 AS age_nextyear FROM karyawan; -- penjumlahan
SELECT full_name, age - 1 AS age_prevyear FROM karyawan; -- pengurangan
SELECT idpelanggan, tanggal_pemesanan, nama_barang, jumlah * harga AS subtotal_item FROM pemesanan_barang WHERE jumlah > 1; -- perkalian
SELECT idpelanggan, tanggal_pemesanan, nama_barang, harga / jumlah AS price_item FROM pemesanan_barang WHERE jumlah > 1; -- pembagian
SELECT idpelanggan, tanggal_pemesanan, nama_barang, harga % jumlah AS remainder FROM pemesanan_barang WHERE jumlah > 1; -- Modulus
/*
Operator modulus menentukan sisa integer dari sebuah pembagian. Operator ini bukan standar ANSI, namun sebagian besar database memiliki
operator ini
*/
-- Fungsi Matematika
/*
Dalam latihan berikut, anda akan mempelajari beberapa fungsi matematika yang perlu anda pelajari karena anda sangat mungkin akan menggunakannya.
fungsi-fungsi ini juga bukan merupakan standar ANSI, karena itu fungsi tersebut mungkin saja tidak ada pada RDBMS tertentu yang anda gunakan.
Namun demikian, fungsi-fungsi tersebut tersedia pada beberapa database utama yang sering digunakan.
ABS(x) = Menghasilkan nilai absolute dari x
*/
SELECT ABS(-243.5); = 243.5
/*
SIGN(x) = menghasilkan tanda dari inputan x seperti -1, 0, atau 1 (negatif, nol, or positif) fungsi sign() mengembalikan tanda dari sebuah angka.
fungsi ini akan mengembalikan salah satu hal berikut:
Jika nomor > 0, ia mengembalikan 1
Jika nomor = 0, ia mengembalikan 0
Jika nomor < 0, ia mengembalikan -1
*/
SELECT SIGN(255.5); = 1
SELECT SIGN(0); = 0
SELECT SIGN(-12); = -1
/*
MOD(x, y) atau x MOD y = modulus - menghasilkan sisa integer dari x dibagi y (sama seperti x % y)
*/
SELECT MOD(18, 4); = 2
SELECT 18 MOD 4; = 2
/*
FLOOR(x) = Menghasilkan nilai integer terbesar yang kurang dari atau sama dengan x. Mengembalikan nilai integer terbesar tidak lebih besar dari X.
Untuk argumen numerik nilai-eksak, nilai yang dikembalikan memiliki tipe numerik nilai-eksak. Untuk argumen string atau floating-point,
nilai yang dikembalikan memiliki tipe floating-point.
*/
SELECT FLOOR(25.75) = 25
SELECT FLOOR(-1.23) = -2
SELECT FLOOR(1.23) = 1
/*
CEILING(x) = Menghasilkan nilai integer terkecil yang lebih dari atau sama dengan x. Mengembalikan nilai integer terkecil tidak lebih kurang dari X.
Untuk argumen numerik nilai-eksak, nilai yang dikembalikan memiliki tipe numerik nilai-eksak. Untuk argumen string atau floating-point,
nilai yang dikembalikan memiliki tipe floating-point.
*/
SELECT CEILING(25.75) = 26
SELECT CEILING(-1.23) = -1
SELECT CEILING(1.23) = 2
/*
CEIL(x) = CEIL(x) adalah sinonim untuk CEILING(x). Fungsi ini sama dengan fungsi CEILING(x)
*/
SELECT CEIL(45.50) = 46
SELECT CEIL(-10.95) = -10
SELECT CEIL(10.95) = 11
/*
POWER(x, y) = Menghasilkan nilai x pangkat y. Mengembalikan argumen yang dinaikkan ke pangkat yang ditentukan.
Mengembalikan nilai X yang dipangkatkan dari Y.
*/
SELECT POWER(8, 3) = 512
SELECT POWER(4, 2) = 16
SELECT POWER(2, -2) = 0,25
/*
POW(X, y) = Menghasilkan nilai x pangkat y. Mengembalikan argumen yang dinaikkan ke pangkat yang ditentukan.
Mengembalikan nilai X yang dipangkatkan dari Y.
*/
SELECT POW(9, 4) = 6561
SELECT POW(8, 3) = 512
SELECT POW(10, -2) = 0,01
/*
ROUND(x) = Menghasilkan nilai x dibulatkan ke integer terdekat. menggunakan aturan berikut bergantung pada tipe argumen pertama :
A) Untuk bilangan nilai eksak, ROUND () menggunakan aturan "bulat setengah menjauh dari nol" atau "bulat menuju terdekat":
Nilai dengan bagian pecahan 0,5 atau lebih besar dibulatkan ke atas ke bilangan bulat berikutnya jika positif atau turun
ke bilangan bulat berikutnya jika negatif. (Dengan kata lain, nilai dibulatkan menjauh dari nol.) Nilai dengan bagian
pecahan kurang dari 0,5 dibulatkan ke bawah ke bilangan bulat berikutnya jika positif atau naik ke bilangan bulat berikutnya
jika negatif.
B) Untuk nilai angka perkiraan, hasilnya bergantung pada library C. Pada banyak sistem, ini berarti ROUND() menggunakan aturan
"bulat ke genap terdekat": Nilai dengan bagian pecahan tepat di tengah antara dua bilangan bulat yang dibulatkan ke bilangan bulat
genap terdekat.
contoh berikut menunjukkan bagaimana pembulatan berbeda untuk nilai persis dan perkiraan :
*/
SELECT ROUND(2.5) = 3
SELECT ROUND(2.75) = 3
SELECT ROUND(2.25) = 2
SELECT ROUND(-2.5) = -3
SELECT ROUND(-2.75) = -3
SELECT ROUND(-2.25) = -2
SELECT ROUND(25E-1) = 2 -- (krn bilangan floating point 25 x 10 pangkat -1 maka kalo diubah ke bentuk desimalnya menjadi 2.5)
SELECT ROUND(9805E0) = 9805
SELECT ROUND(9805E3) = 9805000
SELECT ROUND(9805E-1) = 980
SELECT ROUND(9806E-1) = 981
SELECT ROUND(9805E-2) = 98
SELECT ROUND(9805E-3) = 10
SELECT ROUND(9405E-3) = 9
/*
ROUND(X, D) = Membulatkan argumen X ke tempat desimal D. Algoritme pembulatan bergantung pada tipe data X. secara default D adalah 0
jika tidak ditentukan. D dapat menjadi negatif sehingga digit X di kiri koma desimal dari nilai X menjadi nol.
Nilai absolut maksimum untuk D adalah 30; setiap digit yang melebihi 30 (atau -30) akan dipotong.
*/
SELECT ROUND(1.298, 1) = 1.3
SELECT ROUND(1.298, 0) = 1
SELECT ROUND(99.999, 2) = 100.00
SELECT ROUND(135.375, 2) = 135.38
SELECT ROUND(345.156, 0) = 345
SELECT ROUND(150000, 2) = 150.00
SELECT ROUND(150, 2) = 150
SELECT ROUND(.12345678901234567890123456789012345, 35) = 0.123456789012345678901234567890
SELECT ROUND(25.234, -1) = 30 -- nilai D negatif 1 maka nilai akhir yg harus diubah menjadi 0 adalah 1 digit sebelum koma
SELECT ROUND(314.98, 0) = 315
SELECT ROUND(314.98, -1) = 310 -- nilai D negatif 1 maka nilai akhir yg harus diubah menjadi 0 adalah 1 digit sebelum koma
SELECT ROUND(314.98, -2) = 300 -- nilai D negatif 2 maka nilai akhir yg harus diubah menjadi 0 adalah 2 digit sebelum koma
SELECT ROUND(314.98, -3) = 0 -- nilai D negatif 3 maka nilai akhir yg harus diubah menjadi 0 adalah 3 digit sebelum koma
/*
SQRT(x) = Menghasilkan akar dari x. Mengembalikan akar kuadrat dari argumen. Mengembalikan akar kuadrat dari bilangan bukan negatif X.
*/
SELECT SQRT(64) = 8
SELECT SQRT(13) = 3.605551275463989
SELECT SQRT(4) = 2
SELECT SQRT(20) = 4.4721359549996
SELECT SQRT(-16) = NULL
/*
Sebagai contoh dalam query table
*/
SELECT ROUND(sallary), full_name FROM karyawan;
/*
Perintah tersebut akan memilih gaji yang dibulatkan ke nilai integer terdekat dan nama dari tabel karyawan
*/
-- Penggabungan Tabel
/*
Join memungkinkan anda untuk menghubungkan data dari dua atau lebih tabel menjadi sebuah hasil tunggal - menggunakan perintah
SELECT tunggal. Anda dapat mengenali sebuah "JOIN" dalam sebuah perintah SQL jika perintah tersebut memiliki lebih dari satu
tabel setelah keyword FROM
Contoh Syntax :
*/
SELECT "daftar-kolom"
FROM tabel1, tabel2
WHERE "kondisi-pencarian"
/*
kitq baru saja menghilangkan duplikasi data yang tidak perlu. Hal ini disebut dengan normalisasi database. Perhatikan bahwa setiap tabel memiliki
kolom yang sama yaitu "id_pelanggan". kolom ini, yang berisi id pelanggan yang unik akan digunakan untuk menggabungkan kedua tabel.
katakanlah anda ingin untuk memilih nama pelanggan dan nama barang yang mereka beli. berikut adalah contoh perintah penggabungan (JOIN) untuk melakukan
hal tersebut.
*/
SELECT pelanggan.nama, pelanggan.marga, pemesanan_barang.nama_barang FROM pelanggan, pemesanan_barang WHERE pelanggan.idpelanggan = pemesanan_barang.idpelanggan;
/*
Join seperti ini dikenal dengan nama "inner join" atau "Equjoin". Join inilah yang merupakan tipe join yang umum digunakan.
Syntax yang anda lihat di atas dapat digunakan pada hampir semua sistem database. namun demikian, jika tidak dapat digunakan
anda harus merujuk pada dokumentasi sistem database anda
*/
SELECT pelanggan.nama, pelanggan.marga, pemesanan_barang.nama_barang FROM pelanggan INNER JOIN pemesanan_barang ON pelanggan.idpelanggan = pemesanan_barang.idpelanggan;
/* Contoh lain */
SELECT infokaryawan.id, infokaryawan.marga, penjualan_karyawan.komisi FROM infokaryawan, penjualan_karyawan WHERE infokaryawan.id = penjualan_karyawan.id;
-- latihan
SELECT pelanggan.idpelanggan, pelanggan.nama, pelanggan.marga, pembelian.tanggal_pemesanan, pembelian.nama_barang, pembelian.harga
FROM pelanggan LEFT OUTER JOIN pemesanan_barang AS pembelian
ON pelanggan.idpelanggan = pembelian.idpelanggan;
SELECT pelanggan.idpelanggan, pelanggan.nama, pelanggan.marga, pelanggan.provinsi, pembelian.tanggal_pemesanan, pembelian.nama_barang, pembelian.harga
FROM pelanggan LEFT OUTER JOIN pemesanan_barang AS pembelian
ON pelanggan.idpelanggan = pembelian.idpelanggan
ORDER BY pelanggan.provinsi DESC; | true |
b044bb48a021d89097a714434478664ab42bac1d | SQL | MaximDragosAndrei/fiimem | /create.sql | UTF-8 | 7,409 | 3.703125 | 4 | [] | no_license | --tabele
CREATE TABLE Files (fid number(10) NOT NULL, Membersmid number(10) NOT NULL, address varchar2(255) NOT NULL UNIQUE, name varchar2(255) NOT NULL, format varchar2(16) NOT NULL, PRIMARY KEY (fid, Membersmid));
CREATE TABLE GenTree (mid number(10) NOT NULL, mid2 number(10) NOT NULL, relationship number(1) NOT NULL, PRIMARY KEY (mid, mid2));
CREATE TABLE History (mid number(10) NOT NULL, hid number(10) NOT NULL, logindate timestamp(9) with local time zone NOT NULL , logoutdate timestamp(9) with local time zone NOT NULL , PRIMARY KEY (mid, hid));
CREATE TABLE Members (mid number(10) NOT NULL, surname varchar2(255) NOT NULL, firstname varchar2(255) NOT NULL, username varchar2(255), email varchar2(255) UNIQUE, address varchar2(255), phone varchar2(18), password varchar2(255), fictiv number(1) DEFAULT 0 NOT NULL, bithdate timestamp(9) NOT NULL, deceaseddate timestamp(9), PRIMARY KEY (mid));
CREATE TABLE Members_Tags (mid number(10) NOT NULL, tid number(10) NOT NULL, PRIMARY KEY (mid, tid));
CREATE TABLE Privacy (pid number(10) NOT NULL, rights varchar2(255) DEFAULT 1 NOT NULL, PRIMARY KEY (pid));
CREATE TABLE Privacy_Files (pid number(10) NOT NULL, fid number(10) NOT NULL, FilesMembersmid number(10) NOT NULL, PRIMARY KEY (pid, fid, FilesMembersmid));
CREATE TABLE Privacy_Members (pid number(10) NOT NULL, mid number(10) NOT NULL, PRIMARY KEY (pid, mid));
CREATE TABLE Tags (tid number(10) NOT NULL, name varchar2(16) NOT NULL, PRIMARY KEY (tid));
CREATE TABLE Tags_Files (tid number(10) NOT NULL, fid number(10) NOT NULL, FilesMembersmid number(10) NOT NULL, PRIMARY KEY (tid, fid, FilesMembersmid));
CREATE UNIQUE INDEX Files_fid ON Files (fid);
CREATE UNIQUE INDEX History_hid ON History (hid);
CREATE INDEX Tags_name ON Tags (name);
ALTER TABLE Privacy_Files ADD CONSTRAINT "allows" FOREIGN KEY (fid, FilesMembersmid) REFERENCES Files (fid, Membersmid);
ALTER TABLE GenTree ADD CONSTRAINT "belongs to" FOREIGN KEY (mid2) REFERENCES Members (mid);
ALTER TABLE Tags_Files ADD CONSTRAINT "contains" FOREIGN KEY (fid, FilesMembersmid) REFERENCES Files (fid, Membersmid);
ALTER TABLE Tags_Files ADD CONSTRAINT "describes" FOREIGN KEY (tid) REFERENCES Tags (tid);
ALTER TABLE Privacy_Files ADD CONSTRAINT "granted to" FOREIGN KEY (pid) REFERENCES Privacy (pid);
ALTER TABLE Privacy_Members ADD CONSTRAINT "grants" FOREIGN KEY (pid) REFERENCES Privacy (pid);
ALTER TABLE History ADD CONSTRAINT "has" FOREIGN KEY (mid) REFERENCES Members (mid);
ALTER TABLE GenTree ADD CONSTRAINT "in" FOREIGN KEY (mid) REFERENCES Members (mid);
ALTER TABLE Files ADD CONSTRAINT "owns" FOREIGN KEY (Membersmid) REFERENCES Members (mid);
ALTER TABLE Privacy_Members ADD CONSTRAINT "share" FOREIGN KEY (mid) REFERENCES Members (mid);
ALTER TABLE Members_Tags ADD CONSTRAINT "use" FOREIGN KEY (mid) REFERENCES Members (mid);
ALTER TABLE Members_Tags ADD CONSTRAINT "used" FOREIGN KEY (tid) REFERENCES Tags (tid);
--triggere
CREATE OR REPLACE TRIGGER Taddress
BEFORE INSERT OR UPDATE ON Members
FOR EACH ROW
BEGIN
IF( :new.fictiv = 1 and :new.deceaseddate is not null) THEN
RAISE_APPLICATION_ERROR( -20001,'Tii minte adresa cimitirului sau ce?');
END IF;
END;
/
CREATE OR REPLACE TRIGGER Tlog
BEFORE INSERT OR UPDATE ON History
FOR EACH ROW
BEGIN
IF( :new.logindate > :new.logoutdate)THEN
RAISE_APPLICATION_ERROR( -20001,'bine ca te poti deconecta in trecut');
ELSE IF( :new.logindate > SYSDATE)THEN
RAISE_APPLICATION_ERROR( -20001,'bine ca te poti loga in viitor');
END IF;
IF( :new.logoutdate > SYSDATE)THEN
RAISE_APPLICATION_ERROR( -20001,'bine ca te poti deloga in viitor');
END IF;
END IF;
END;
/
CREATE OR REPLACE TRIGGER Tpassword
BEFORE INSERT OR UPDATE ON Members
FOR EACH ROW
BEGIN
IF( :new.password is not null and :new.fictiv = 1 )
THEN
RAISE_APPLICATION_ERROR( -20001, 'Bunicu are paola' );
END IF;
IF(:new.password is null and :new.fictiv = 0) THEN
RAISE_APPLICATION_ERROR( -20001, 'Asta are nevoie de parola' );
END IF;
END;
/
CREATE OR REPLACE TRIGGER tEMAIL
BEFORE INSERT OR UPDATE ON Members
FOR EACH ROW
BEGIN
IF( :new.fictiv = 0) THEN
IF( :new.email is null )
THEN
RAISE_APPLICATION_ERROR( -20001, 'Ce facem aici? Utilizatoi fara parola! Alo!' );
ELSE
IF( :new.email not like '%_@_%') THEN
RAISE_APPLICATION_ERROR( -20001, 'Macar de ar fi valid.' );
END IF;
END IF;
END IF;
IF( :new.email is not null and :new.fictiv = 1 )
THEN
RAISE_APPLICATION_ERROR( -20001, 'Bine ca ii punem lui stra-strabunica email' );
END IF;
END;
/
CREATE OR REPLACE TRIGGER Tusername
BEFORE INSERT OR UPDATE ON Members
FOR EACH ROW
BEGIN
IF( :new.fictiv = 1) THEN
IF( :new.username is not null) THEN
RAISE_APPLICATION_ERROR( -20002,'Tocmai i.am facut cont lui bunica!');
END IF;
END IF;
IF( :new.username is null and :new.fictiv = 0)THEN
RAISE_APPLICATION_ERROR( -20002,'Eu te credeam inteligent(a). Ai nevoie de un username!');
END IF;
END;
/
CREATE or replace TRIGGER Members_Delete
AFTER DELETE
ON Members
For each row
BEGIN
DELETE FROM GenTree
WHERE GenTree.mid = :old.mid;
DELETE FROM Privacy_Members
WHERE Privacy_Members.mid = :old.mid;
DELETE FROM Members_Tags
WHERE Members_Tags.mid = :old.mid;
DELETE FROM Files
WHERE Files.Membersmid=:old.mid;
DELETE FROM Privacy_Files
WHERE Privacy_Files.FilesMembersmid=:old.mid;
DELETE FROM History
WHERE History.mid=:old.mid;
DELETE FROM Tags_Files
WHERE Tags_Files.FilesMembersmid=:old.mid;
END;
/
CREATE OR REPLACE TRIGGER Privacy_Delete
AFTER DELETE
ON Privacy
FOR EACH ROW
BEGIN
DELETE FROM Privacy_Members
WHERE Privacy_Members.pid =:old.pid;
DELETE FROM Privacy_Files
WHERE Privacy_Files.pid =:old.pid;
END;
/
CREATE OR REPLACE TRIGGER Files_Delete
AFTER DELETE
ON Files
FOR EACH ROW
BEGIN
DELETE FROM Privacy_Files
WHERE Privacy_Files.fid =:old.fid;
DELETE FROM Tags_Files
WHERE Tags_Files.fid =:old.fid;
END;
/
CREATE OR REPLACE TRIGGER Tags_Delete
AFTER DELETE
ON Tags
FOR EACH ROW
BEGIN
DELETE FROM Members_Tags
WHERE Members_Tags.tid =:old.tid;
DELETE FROM Tags_Files
WHERE Tags_Files.tid =:old.tid;
END;
/
--view
create materialized view poze for update
as
select * from files where format in('.jpg','.gif','.tiff','.tga','.psd','.png','.bmp','.wmf');
/
create materialized view filme for update
as
select * from files where format in('.mp3','.mp4','.mpg','.mpeg','.3gp','.mov','.asf','.wmv');
/
create materialized view documente for update
as
select * from files where format in('.doc','.txt','.rtf','.xls','.xlm','.DBF','.MSG','.PPT','.PPS');
/
--indecsi
create index indexmulti on Members(surname, address);
/
create index indexname on Members(upper(username));
/
create index indexoras on Members(INITCAP(LOWER(regexp_substr(address,'[^,]+'))));
/
create sequence mid_seq
MINVALUE 10000 MAXVALUE 9999999999 INCREMENT BY 1 START WITH 10220 CACHE 200 ;
/
create sequence fid_seq
minvalue 1 maxvalue 9999999999 increment by 1 start with 1 cache 200;
| true |
c4fe294b45cd305e3e29d071795e77eb8a81e216 | SQL | tonraj/gwaliorcovid19 | /website/db.sql | UTF-8 | 16,957 | 2.921875 | 3 | [] | no_license | -- phpMyAdmin SQL Dump
-- version 4.8.5
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1:3306
-- Generation Time: Apr 10, 2020 at 12:47 PM
-- Server version: 5.7.26
-- PHP Version: 7.3.5
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: `covid19`
--
-- --------------------------------------------------------
--
-- Table structure for table `areas`
--
DROP TABLE IF EXISTS `areas`;
CREATE TABLE IF NOT EXISTS `areas` (
`id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT,
`name` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `authorised_helpers`
--
DROP TABLE IF EXISTS `authorised_helpers`;
CREATE TABLE IF NOT EXISTS `authorised_helpers` (
`id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT,
`name` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`number` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`police_station_id` int(10) UNSIGNED NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL,
PRIMARY KEY (`id`),
KEY `authorised_helpers_police_station_id_foreign` (`police_station_id`)
) ENGINE=MyISAM AUTO_INCREMENT=3 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `authorised_helpers`
--
INSERT INTO `authorised_helpers` (`id`, `name`, `number`, `police_station_id`, `created_at`, `updated_at`) VALUES
(2, 'Rajendra Singh', 'number', 1, '2020-04-05 07:18:06', '2020-04-05 07:18:06');
-- --------------------------------------------------------
--
-- Table structure for table `basic_infos`
--
DROP TABLE IF EXISTS `basic_infos`;
CREATE TABLE IF NOT EXISTS `basic_infos` (
`id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `consumers`
--
DROP TABLE IF EXISTS `consumers`;
CREATE TABLE IF NOT EXISTS `consumers` (
`id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT,
`phone` char(10) COLLATE utf8mb4_unicode_ci NOT NULL,
`name` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `crowd_reports`
--
DROP TABLE IF EXISTS `crowd_reports`;
CREATE TABLE IF NOT EXISTS `crowd_reports` (
`id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT,
`message` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`status` tinyint(1) NOT NULL DEFAULT '0',
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=8 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `crowd_reports`
--
INSERT INTO `crowd_reports` (`id`, `message`, `status`, `created_at`, `updated_at`) VALUES
(1, 'abc', 0, '2020-04-07 02:02:36', '2020-04-07 02:02:36'),
(2, 'abc', 0, '2020-04-07 02:42:53', '2020-04-07 02:42:53'),
(3, 'abc', 0, '2020-04-07 02:43:27', '2020-04-07 02:43:27'),
(4, 'dvcr', 0, '2020-04-07 02:44:43', '2020-04-07 02:44:43'),
(5, 'rs', 1, '2020-04-07 02:45:03', '2020-04-07 09:14:08'),
(6, 'dhasdgagh', 0, '2020-04-07 10:35:48', '2020-04-07 10:35:48'),
(7, 'hii', 0, '2020-04-08 11:03:24', '2020-04-08 11:03:24');
-- --------------------------------------------------------
--
-- Table structure for table `emergencies`
--
DROP TABLE IF EXISTS `emergencies`;
CREATE TABLE IF NOT EXISTS `emergencies` (
`id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT,
`name` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`number` char(10) COLLATE utf8mb4_unicode_ci NOT NULL,
`status` char(25) COLLATE utf8mb4_unicode_ci NOT NULL,
`gps_lan` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`gps_lon` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `failed_jobs`
--
DROP TABLE IF EXISTS `failed_jobs`;
CREATE TABLE IF NOT EXISTS `failed_jobs` (
`id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT,
`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,
PRIMARY KEY (`id`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `jobs`
--
DROP TABLE IF EXISTS `jobs`;
CREATE TABLE IF NOT EXISTS `jobs` (
`id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT,
`queue` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`payload` longtext COLLATE utf8mb4_unicode_ci NOT NULL,
`attempts` tinyint(3) UNSIGNED NOT NULL,
`reserved_at` int(10) UNSIGNED DEFAULT NULL,
`available_at` int(10) UNSIGNED NOT NULL,
`created_at` int(10) UNSIGNED NOT NULL,
PRIMARY KEY (`id`),
KEY `jobs_queue_index` (`queue`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `map_data`
--
DROP TABLE IF EXISTS `map_data`;
CREATE TABLE IF NOT EXISTS `map_data` (
`id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT,
`icon_image` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`address` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`title` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`lan` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`lon` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`status` tinyint(1) NOT NULL DEFAULT '1',
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=4 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `map_data`
--
INSERT INTO `map_data` (`id`, `icon_image`, `address`, `title`, `lan`, `lon`, `status`, `created_at`, `updated_at`) VALUES
(2, 'http://maps.google.com/mapfiles/ms/icons/lodging.png', 'dajhsagh', 'Test', '26.2271121', '78.2134339', 1, '2020-04-07 09:09:35', '2020-04-07 09:10:49'),
(3, 'http://maps.google.com/mapfiles/ms/icons/hospitals.png', '30 SIDDHARTH NAGAR\r\nMELA DULLPUR THATIPUR', 'How to add value in multi dimensions dictionary?', '26.19458', '78.15310', 1, '2020-04-08 10:10:39', '2020-04-08 10:10:39');
-- --------------------------------------------------------
--
-- Table structure for table `messages`
--
DROP TABLE IF EXISTS `messages`;
CREATE TABLE IF NOT EXISTS `messages` (
`id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT,
`message` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`message_type` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`sendStatus` tinyint(1) NOT NULL DEFAULT '0',
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL,
`link` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=7 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `messages`
--
INSERT INTO `messages` (`id`, `message`, `message_type`, `sendStatus`, `created_at`, `updated_at`, `link`) VALUES
(2, 'dajsdjasda', 'Home', 0, '2020-04-07 09:22:33', '2020-04-07 09:22:33', 'https://tonaff.com/aff?pid=MTUwLTI5MTM=&link=http%3A%2F%2Faliexpress.com%2F'),
(3, 'dajsdhjas', 'Home', 0, '2020-04-07 10:04:57', '2020-04-07 10:04:57', 'https://tonaff.com/aff?pid=MTUwLTI5MTM=&link=http%3A%2F%2Faliexpress.com%2F'),
(4, 'dajsdhjas', 'Home', 0, '2020-04-07 10:05:20', '2020-04-07 10:05:20', 'https://tonaff.com/aff?pid=MTUwLTI5MTM=&link=http%3A%2F%2Faliexpress.com%2F'),
(5, 'dajsdhjas', 'Home', 0, '2020-04-07 10:05:31', '2020-04-07 10:05:31', 'https://tonaff.com/aff?pid=MTUwLTI5MTM=&link=http%3A%2F%2Faliexpress.com%2F'),
(6, 'sdgahsjdgjahsdhja', 'Home', 0, '2020-04-08 09:35:46', '2020-04-08 09:35:46', 'https://tonaff.com/aff?pid=MTUwLTI5MTM=&link=http%3A%2F%2Faliexpress.com%2F');
-- --------------------------------------------------------
--
-- Table structure for table `migrations`
--
DROP TABLE IF EXISTS `migrations`;
CREATE TABLE IF NOT EXISTS `migrations` (
`id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT,
`migration` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`batch` int(11) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=21 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `migrations`
--
INSERT INTO `migrations` (`id`, `migration`, `batch`) VALUES
(1, '2014_10_12_000000_create_users_table', 1),
(2, '2014_10_12_100000_create_password_resets_table', 1),
(3, '2019_08_19_000000_create_failed_jobs_table', 1),
(15, '2020_04_01_145410_create_authorised_helpers_table', 5),
(6, '2020_04_01_145530_create_areas_table', 2),
(7, '2020_04_01_180433_create_police_stations_table', 2),
(8, '2020_04_01_180516_create_crowd_reports_table', 2),
(9, '2020_04_01_180540_create_consumers_table', 2),
(14, '2020_04_01_145238_create_stores_table', 4),
(11, '2020_04_01_180641_create_messages_table', 2),
(16, '2020_04_01_180609_create_social_services_table', 6),
(17, '2020_04_03_103543_create_basic_infos_table', 7),
(18, '2020_04_04_164559_create_emergencies_table', 7),
(19, '2020_04_07_141446_create_map_data_table', 8),
(20, '2020_04_08_103419_create_jobs_table', 9);
-- --------------------------------------------------------
--
-- Table structure for table `password_resets`
--
DROP TABLE IF EXISTS `password_resets`;
CREATE TABLE IF NOT EXISTS `password_resets` (
`email` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`token` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
KEY `password_resets_email_index` (`email`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `police_stations`
--
DROP TABLE IF EXISTS `police_stations`;
CREATE TABLE IF NOT EXISTS `police_stations` (
`id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT,
`name` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`number` char(11) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM AUTO_INCREMENT=3 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `police_stations`
--
INSERT INTO `police_stations` (`id`, `name`, `number`, `created_at`, `updated_at`) VALUES
(1, 'Thatipur', '9685925522', NULL, NULL),
(2, 'Golekamandir', '9685925522', '2020-04-09 04:36:37', '2020-04-09 04:36:37');
-- --------------------------------------------------------
--
-- Table structure for table `social_services`
--
DROP TABLE IF EXISTS `social_services`;
CREATE TABLE IF NOT EXISTS `social_services` (
`id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT,
`title` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`type` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`address` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`lat` double(8,2) NOT NULL,
`lon` double(8,2) NOT NULL,
`end_time` timestamp NOT NULL,
`police_station_id` int(10) UNSIGNED NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL,
`phone` char(10) COLLATE utf8mb4_unicode_ci NOT NULL,
`status` char(15) COLLATE utf8mb4_unicode_ci NOT NULL,
`name` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
PRIMARY KEY (`id`),
KEY `social_services_police_station_id_foreign` (`police_station_id`)
) ENGINE=MyISAM AUTO_INCREMENT=4 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `social_services`
--
INSERT INTO `social_services` (`id`, `title`, `type`, `address`, `lat`, `lon`, `end_time`, `police_station_id`, `created_at`, `updated_at`, `phone`, `status`, `name`) VALUES
(2, 'Test', '', '30 Siddharth Nagar', 154.00, 557.00, '2020-04-21 18:30:00', 1, NULL, '2020-04-03 04:31:33', '9685925522', 'Rejected', 'Hi'),
(3, 'Se', 'Service', '30 Siddharth Nagar,Near Mela Ground Dullpur', 454545.00, 454554.00, '2020-04-22 12:40:00', 1, '2020-04-10 18:30:00', '2020-04-08 04:41:10', '9685925522', 'Rejected', 'Rajendra Pal Singh');
-- --------------------------------------------------------
--
-- Table structure for table `stores`
--
DROP TABLE IF EXISTS `stores`;
CREATE TABLE IF NOT EXISTS `stores` (
`id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT,
`shop_name` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`phone_num` char(10) COLLATE utf8mb4_unicode_ci NOT NULL,
`password` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`crowd` tinyint(1) NOT NULL DEFAULT '0',
`current_status` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`address` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`police_station_id` int(10) UNSIGNED NOT NULL,
`lat` varchar(10) COLLATE utf8mb4_unicode_ci NOT NULL,
`lon` varchar(10) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL,
`icon_img` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
PRIMARY KEY (`id`),
KEY `stores_police_station_id_foreign` (`police_station_id`)
) ENGINE=MyISAM AUTO_INCREMENT=9 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `stores`
--
INSERT INTO `stores` (`id`, `shop_name`, `phone_num`, `password`, `crowd`, `current_status`, `address`, `police_station_id`, `lat`, `lon`, `created_at`, `updated_at`, `icon_img`) VALUES
(6, 'Shopyink', '9685925522', '$2y$10$nftoLPimgW3ttyQw/jmNPOH0JAirn5XjjgbmN0fZ2PwO3DJM7Thdm', 0, 'Pending', 'vhsjgjhfdsg', 1, '122.00', '545.00', '2020-04-05 06:43:22', '2020-04-05 06:43:22', 'http://maps.google.com/mapfiles/ms/icons/shopping.png'),
(7, 'Shopyink', '9685925522', '$2y$10$52LAHVSV2ncw7qtB2Zfa..HQ.sku4AniyPKZdbEpPIq5J6YUNSoOW', 0, 'Pending', 'vhsjgjhfdsg', 1, '122.00', '545.00', '2020-04-05 06:43:29', '2020-04-05 06:43:29', 'http://maps.google.com/mapfiles/ms/icons/shopping.png'),
(5, 'Shopyink', '9685925522', '$2y$10$N7OHb92NomguGjzqB053nuk5owa6.isVNMor7Uz.SuJWXUQTSjNJ6', 0, 'Open', 'vhsjgjhfdsg', 1, '26.215510', '78.182979', '2020-04-05 06:42:26', '2020-04-05 06:42:26', 'http://maps.google.com/mapfiles/ms/icons/shopping.png'),
(4, 'Shopyink', '9685925522', '$2y$10$C1QDSFmTVF7ILewJotNt/OJ9EYc250yLdPox.BzA.fPV81IzIe4kC', 0, 'Open', 'dasdasd', 1, '26.205810', '78.182969', '2020-04-02 04:55:23', '2020-04-02 04:55:23', 'http://maps.google.com/mapfiles/ms/icons/shopping.png'),
(8, 'Shopyink', '9685925522', '$2y$10$Ymku4ZKkzupcDBLjVxKZs.diw1MR/AB/ABs4nXtgQbClte9pj3r76', 0, 'Pending', 'vhsjgjhfdsg', 1, '122.00', '545.00', '2020-04-05 06:43:39', '2020-04-05 06:43:39', '');
-- --------------------------------------------------------
--
-- Table structure for table `users`
--
DROP TABLE IF EXISTS `users`;
CREATE TABLE IF NOT EXISTS `users` (
`id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT,
`name` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`email` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`email_verified_at` timestamp NULL DEFAULT NULL,
`password` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`remember_token` varchar(100) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `users_email_unique` (`email`)
) ENGINE=MyISAM AUTO_INCREMENT=2 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `users`
--
INSERT INTO `users` (`id`, `name`, `email`, `email_verified_at`, `password`, `remember_token`, `created_at`, `updated_at`) VALUES
(1, 'Rajendra Singh', 'rs188282@gmail.com', NULL, '$2y$10$avbF6.lgrOqpT0oKl5b3uuvIKV6bkK4AqFKk957RIZEmPwsylPxJu', NULL, '2020-04-01 09:14:09', '2020-04-01 09:14:09');
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 */;
| true |
0a656325ed17c0d7dc1d1136d1f44dee0b72ead0 | SQL | coalchan/TPC-H | /TPC-H_on_Hive/tpch/q17_small_quantity_order_revenue.hive | UTF-8 | 1,665 | 3.828125 | 4 | [] | no_license | DROP TABLE lineitem;
DROP TABLE part;
DROP TABLE q17_small_quantity_order_revenue;
DROP TABLE lineitem_tmp;
-- create the tables and load the data
create external table lineitem (L_ORDERKEY INT, L_PARTKEY INT, L_SUPPKEY INT, L_LINENUMBER INT, L_QUANTITY DOUBLE, L_EXTENDEDPRICE DOUBLE, L_DISCOUNT DOUBLE, L_TAX DOUBLE, L_RETURNFLAG STRING, L_LINESTATUS STRING, L_SHIPDATE STRING, L_COMMITDATE STRING, L_RECEIPTDATE STRING, L_SHIPINSTRUCT STRING, L_SHIPMODE STRING, L_COMMENT STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY '|' STORED AS TEXTFILE LOCATION '/tpch/lineitem';
create external table part (P_PARTKEY INT, P_NAME STRING, P_MFGR STRING, P_BRAND STRING, P_TYPE STRING, P_SIZE INT, P_CONTAINER STRING, P_RETAILPRICE DOUBLE, P_COMMENT STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY '|' STORED AS TEXTFILE LOCATION '/tpch/part';
-- create the result table
create table q17_small_quantity_order_revenue (avg_yearly double);
create table lineitem_tmp (t_partkey int, t_avg_quantity double);
-- the query
insert overwrite table lineitem_tmp
select
l_partkey as t_partkey, 0.2 * avg(l_quantity) as t_avg_quantity
from
lineitem
group by l_partkey;
insert overwrite table q17_small_quantity_order_revenue
select
sum(l_extendedprice) / 7.0 as avg_yearly
from
(select l_quantity, l_extendedprice, t_avg_quantity from
lineitem_tmp t join
(select
l_quantity, l_partkey, l_extendedprice
from
part p join lineitem l
on
p.p_partkey = l.l_partkey
and p.p_brand = 'Brand#23'
and p.p_container = 'MED BOX'
) l1 on l1.l_partkey = t.t_partkey
) a
where l_quantity < t_avg_quantity;
| true |
55c9f08f7ff69448b34a5f06d342f47b093d9999 | SQL | NLTDIndia/AssetManagement | /AMS_Source/UploadFile/30034/GetAssetsView.sql | UTF-8 | 692 | 3.953125 | 4 | [
"MIT"
] | permissive | ALTER view AllocatedAssets as
select a.AssetId, a.AssetTagNumber, ats.Name as AssetType, ac.Name as AssetCategory, e. FirstName, al.Name as [Location], al.Id locationId,e.UserId empId from assets a
inner join AssetAllocation aa on a.AssetId=aa.AssetId
inner join AssetRequest ar on a.AssetRequestId = ar.Id
inner join AssetType ats on ar.AssetTypeId = ats.Id
inner join AssetCategory ac on ats.AssetCategoryId = ac.Id
inner join Employee e on aa.EmployeeId =e.UserId
inner join AssetLocation al on aa.LocationId =al.Id
where aa.AssetCanceledOn is null
group by a.AssetId, a.AssetTagNumber, ats.Name, ac.Name , e. FirstName, al.Name , al.Id,e.UserId,aa.AssetAllocationId
select * from Assets | true |
09ca067e92262b5b1f2fadd828291c9feeb5fa9e | SQL | ayoubHam2000/fs_licence | /s6_repository/sql/plsqlcodes/30/ep28 Nested table.sql | UTF-8 | 1,259 | 3.578125 | 4 | [] | no_license | set serveroutput on
set autoprint off
/*
Are two types
Pl/SQL records
-> PL/SQL collections
- INDEX BY tables or association array
- Nested table
- VARRAY
*/
--> 2. Nested table
/*
No index in nested table (unlike index by table)
it is valide data type in sql (unlike index by table, only used in PL/SQL)
initialization required
extend required
can be stored in DB
syntax
TYPE type_name is table of
{column_type | variable%type | table.column%type}
[NOT NULL]
| table.%rowtype
*/
DECLARE
type t_array is table of VARCHAR2(100);
v_tab t_array;
BEGIN
v_tab := t_array('cool', 'nice', 'tito');
v_tab.extend(3); -- you can use extend for add one place
v_tab(4) := 'place 4';
v_tab(5) := 'place 5';
v_tab(6) := 'place 6';
for i in 1..v_tab.count() LOOP
DBMS_OUTPUT.put_line(v_tab(i));
end loop;
END;
/
--advance
drop table x_customer;
drop type t_tel;
create or replace type t_tel as table of number;
create table x_customer
(
cust_id number,
cust_name varchar2(100),
tel t_tel
)
nested table tel store as t_tel_tbl;
insert into x_customer (cust_id, cust_name, tel)
values (1, 'khalid', t_tel(050121, 0501245, 0589877));
select * from x_customer; | true |
9349eeb324588951272a2926f02c3aa283a71a74 | SQL | sildrian/board-info-dengan-library-departure-board-master | /db_info.sql | UTF-8 | 2,989 | 3.28125 | 3 | [
"MIT"
] | permissive | -- phpMyAdmin SQL Dump
-- version 4.6.5.2
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Jul 21, 2017 at 10:45 AM
-- Server version: 10.1.21-MariaDB
-- PHP Version: 7.1.1
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `db_info`
--
-- --------------------------------------------------------
--
-- Table structure for table `counter_info`
--
CREATE TABLE `counter_info` (
`id_counter` int(11) NOT NULL,
`hitung` varchar(255) NOT NULL,
`tanggal_hit` varchar(255) NOT NULL,
`id_info` int(10) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `counter_info`
--
INSERT INTO `counter_info` (`id_counter`, `hitung`, `tanggal_hit`, `id_info`) VALUES
(1, '2', '', NULL),
(6, '2', '2017-04-02 11:10:52', NULL),
(11, '2', '2017-07-21 10:14:22', 32);
-- --------------------------------------------------------
--
-- Table structure for table `info_board`
--
CREATE TABLE `info_board` (
`id_info` int(10) NOT NULL,
`isi` varchar(255) DEFAULT NULL,
`tanggal` varchar(255) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `info_board`
--
INSERT INTO `info_board` (`id_info`, `isi`, `tanggal`) VALUES
(1, 'dsfs33', '2017-04-02 03:33:11'),
(24, 'Halo Dunia', '2017-04-05 05:36:51'),
(25, 'Apa Kabarmu!!', '2017-04-05 05:36:51'),
(32, 'relationship is good to all people in the world', '2017-07-21 10:14:22'),
(33, 'magic of the moment can change the wind', '2017-07-21 10:14:22');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `counter_info`
--
ALTER TABLE `counter_info`
ADD PRIMARY KEY (`id_counter`),
ADD KEY `FK_IdInfo` (`id_info`);
--
-- Indexes for table `info_board`
--
ALTER TABLE `info_board`
ADD PRIMARY KEY (`id_info`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `counter_info`
--
ALTER TABLE `counter_info`
MODIFY `id_counter` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=13;
--
-- AUTO_INCREMENT for table `info_board`
--
ALTER TABLE `info_board`
MODIFY `id_info` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=38;
--
-- Constraints for dumped tables
--
--
-- Constraints for table `counter_info`
--
ALTER TABLE `counter_info`
ADD CONSTRAINT `FK_IdInfo` FOREIGN KEY (`id_info`) REFERENCES `info_board` (`id_info`) ON DELETE CASCADE,
ADD CONSTRAINT `counter_info_ibfk_1` FOREIGN KEY (`id_info`) REFERENCES `info_board` (`id_info`),
ADD CONSTRAINT `counter_info_ibfk_2` FOREIGN KEY (`id_info`) REFERENCES `info_board` (`id_info`) ON DELETE CASCADE;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
| true |
c6051b2a5ab461201366e48bd5bb2e5d6f0c67a9 | SQL | ziyuan-shen/LSTM_MIMICIII | /Code/sql/vitals.sql | UTF-8 | 4,429 | 4.03125 | 4 | [] | no_license | DROP TABLE IF EXISTS rnn_vitals;
CREATE TABLE rnn_vitals AS
WITH processed_vital AS
(
SELECT vital.icustay_id
, vital.day
, avg(HeartRate) as HeartRate
, avg(SysBP) as SysBP
, avg(DiasBP) as DiasBP
, avg(MeanBP) as MeanBP
, avg(RespRate) as RespRate
, avg(TempC) as TempC
, avg(SpO2) as SpO2
FROM
(
SELECT co.icustay_id
, ceil(extract(EPOCH from ce.charttime-co.intime)/60.0/60.0/24.0)::smallint AS day
, (CASE WHEN itemid IN (211,220045) AND valuenum > 0 AND valuenum < 300 THEN valuenum ELSE NULL END) AS HeartRate
, (CASE WHEN itemid IN (51,442,455,6701,220179,220050) AND valuenum > 0 AND valuenum < 400 THEN valuenum ELSE NULL END) AS SysBP
, (CASE WHEN itemid IN (8368,8440,8441,8555,220180,220051) AND valuenum > 0 AND valuenum < 300 THEN valuenum ELSE NULL END) AS DiasBP
, (CASE WHEN itemid IN (456,52,6702,443,220052,220181,225312) AND valuenum > 0 AND valuenum < 300 THEN valuenum ELSE NULL END) AS MeanBP
, (CASE WHEN itemid IN (615,618,220210,224690) AND valuenum > 0 AND valuenum < 70 THEN valuenum ELSE NULL END) AS RespRate
, (CASE WHEN itemid IN (223761,678) AND valuenum > 70 AND valuenum < 120 THEN (valuenum-32)/1.8 -- converted to degC in valuenum call
WHEN itemid IN (223762,676) AND valuenum > 10 AND valuenum < 50 THEN valuenum ELSE NULL END) AS TempC
, (CASE WHEN itemid IN (646,220277) AND valuenum > 0 AND valuenum <= 100 THEN valuenum ELSE NULL END) AS SpO2
FROM rnn_cohort co
INNER JOIN chartevents ce
ON co.icustay_id = ce.icustay_id
WHERE ce.error IS DISTINCT FROM 1
AND ce.itemid IN
(
-- HEART RATE
211, --"Heart Rate"
220045, --"Heart Rate"
-- Systolic/diastolic
51, -- Arterial BP [Systolic]
442, -- Manual BP [Systolic]
455, -- NBP [Systolic]
6701, -- Arterial BP #2 [Systolic]
220179, -- Non Invasive Blood Pressure systolic
220050, -- Arterial Blood Pressure systolic
8368, -- Arterial BP [Diastolic]
8440, -- Manual BP [Diastolic]
8441, -- NBP [Diastolic]
8555, -- Arterial BP #2 [Diastolic]
220180, -- Non Invasive Blood Pressure diastolic
220051, -- Arterial Blood Pressure diastolic
-- MEAN ARTERIAL PRESSURE
456, --"NBP Mean"
52, --"Arterial BP Mean"
6702, -- Arterial BP Mean #2
443, -- Manual BP Mean(calc)
220052, --"Arterial Blood Pressure mean"
220181, --"Non Invasive Blood Pressure mean"
225312, --"ART BP mean"
-- RESPIRATORY RATE
618,-- Respiratory Rate
615,-- Resp Rate (Total)
220210,-- Respiratory Rate
224690, -- Respiratory Rate (Total)
-- SPO2, peripheral
646, 220277,
-- GLUCOSE, both lab and fingerstick
--807,-- Fingerstick Glucose
--811,-- Glucose (70-105)
--1529,-- Glucose
--3745,-- BloodGlucose
--3744,-- Blood Glucose
--225664,-- Glucose finger stick
--220621,-- Glucose (serum)
--226537,-- Glucose (whole blood)
-- TEMPERATURE
223762, -- "Temperature Celsius"
676, -- "Temperature C"
223761, -- "Temperature Fahrenheit"
678 -- "Temperature F"
)
AND ce.charttime >= co.intime
AND ce.charttime <= co.outtime
) vital
GROUP BY vital.icustay_id, vital.day
)
SELECT van.hadm_id
, van.day
, CASE WHEN pro.HeartRate IS NOT NULL THEN pro.HeartRate
ELSE 80 END AS heartrate
, CASE WHEN pro.SysBP IS NOT NULL THEN pro.SysBP
ELSE 115 END AS sysbp
, CASE WHEN pro.DiasBP IS NOT NULL THEN pro.DiasBP
ELSE 70 END AS diasbp
, CASE WHEN pro.MeanBP IS NOT NULL THEN pro.MeanBP
ELSE 85 END AS meanbp
, CASE WHEN pro.RespRate IS NOT NULL THEN pro.RespRate
ELSE 16 END AS resprate
, CASE WHEN pro.TempC IS NOT NULL THEN pro.TempC
ELSE 37 END AS tempc
, CASE WHEN pro.SpO2 IS NOT NULL THEN pro.SpO2
ELSE 97.5 END AS spo2
FROM rnn_van_label van
LEFT JOIN processed_vital pro
ON van.icustay_id = pro.icustay_id AND van.day = pro.day
ORDER BY van.hadm_id, van.day; | true |
e7cc47fefa2133f57f86ab7b4f856b3469bddfdf | SQL | sunboxpc/data_labs | /sql/nor_fiopro_count.sql | UTF-8 | 398 | 3.46875 | 3 | [] | no_license | with temp as (select distinct UPPER(fiopro_old) as fiopro,
UPPER(fiopro) as fiopro_cleared,
min(ddate_date_sale) as min_date_sale
from scource
where levenshtein(UPPER(fiopro_old),UPPER(fiopro))>2
group by UPPER(fiopro_old), UPPER(fiopro)
order by UPPER(fiopro_old)
)
select fiopro_cleared, count(fiopro), min(min_date_sale)
from temp
group by fiopro_cleared
order by count(fiopro) | true |
3323142fb60ee8b0eedc4cec8f5ab0640b72c27d | SQL | radtek/abs3 | /sql/mmfo/bars/ForeignKey/skrynka_staff.sql | UTF-8 | 2,161 | 2.96875 | 3 | [] | no_license |
PROMPT =====================================================================================
PROMPT *** Run *** ========== Scripts /Sql/Bars/ForeignKey/SKRYNKA_STAFF.sql =========*** Ru
PROMPT =====================================================================================
PROMPT *** Create constraint FK_SKRYNKASTAFF_BRANCH ***
begin
execute immediate '
ALTER TABLE BARS.SKRYNKA_STAFF ADD CONSTRAINT FK_SKRYNKASTAFF_BRANCH FOREIGN KEY (BRANCH)
REFERENCES BARS.BRANCH (BRANCH) DEFERRABLE ENABLE NOVALIDATE';
exception when others then
if sqlcode=-2260 or sqlcode=-2261 or sqlcode=-2264 or sqlcode=-2275 or sqlcode=-1442 then null; else raise; end if;
end;
/
PROMPT *** Create constraint FK_SKRYNKASTAFF_KF ***
begin
execute immediate '
ALTER TABLE BARS.SKRYNKA_STAFF ADD CONSTRAINT FK_SKRYNKASTAFF_KF FOREIGN KEY (KF)
REFERENCES BARS.BANKS$BASE (MFO) DISABLE';
exception when others then
if sqlcode=-2260 or sqlcode=-2261 or sqlcode=-2264 or sqlcode=-2275 or sqlcode=-1442 then null; else raise; end if;
end;
/
PROMPT *** Create constraint FK_SKRYNKA_STAFF_TIP ***
begin
execute immediate '
ALTER TABLE BARS.SKRYNKA_STAFF ADD CONSTRAINT FK_SKRYNKA_STAFF_TIP FOREIGN KEY (TIP)
REFERENCES BARS.SKRYNKA_STAFF_TIP (TIP) DISABLE';
exception when others then
if sqlcode=-2260 or sqlcode=-2261 or sqlcode=-2264 or sqlcode=-2275 or sqlcode=-1442 then null; else raise; end if;
end;
/
PROMPT *** Create constraint FK_SKRYNKA_STAFF_USERID ***
begin
execute immediate '
ALTER TABLE BARS.SKRYNKA_STAFF ADD CONSTRAINT FK_SKRYNKA_STAFF_USERID FOREIGN KEY (USERID)
REFERENCES BARS.STAFF$BASE (ID) DISABLE';
exception when others then
if sqlcode=-2260 or sqlcode=-2261 or sqlcode=-2264 or sqlcode=-2275 or sqlcode=-1442 then null; else raise; end if;
end;
/
PROMPT =====================================================================================
PROMPT *** End *** ========== Scripts /Sql/Bars/ForeignKey/SKRYNKA_STAFF.sql =========*** En
PROMPT =====================================================================================
| true |
25e2d0c417ccb3ced002ad1654859ab331e0bfb0 | SQL | AlekHadzidedic/TMS-TCS | /db/sql/schemas.sql | UTF-8 | 1,422 | 3.40625 | 3 | [] | no_license | CREATE SCHEMA IF NOT EXISTS tms;
CREATE TABLE IF NOT EXISTS tms.instructor (
id SERIAL PRIMARY KEY,
first_name VARCHAR (20) NOT NULL,
last_name VARCHAR (50) NOT NULL,
email VARCHAR (50) NOT NULL UNIQUE,
password VARCHAR (255)
);
CREATE TABLE IF NOT EXISTS tms.team (
id SERIAL PRIMARY KEY,
team_name VARCHAR (50) NOT NULL UNIQUE,
max_team_size INTEGER,
min_team_size INTEGER,
team_size INTEGER
);
CREATE TABLE IF NOT EXISTS tms.student (
id SERIAL PRIMARY KEY,
first_name VARCHAR (20) NOT NULL,
last_name VARCHAR (50) NOT NULL,
student_number INTEGER NOT NULL UNIQUE,
email VARCHAR (50) NOT NULL UNIQUE,
password VARCHAR (255),
is_liason BOOLEAN,
team_name VARCHAR (50) REFERENCES tms.team (team_name) ON DELETE RESTRICT
);
CREATE TABLE IF NOT EXISTS tms.team_parameters (
id SERIAL PRIMARY KEY,
max_team_size INTEGER,
min_team_size INTEGER,
are_parameters_set BOOLEAN
);
CREATE TABLE IF NOT EXISTS tms.team_request (
id SERIAL PRIMARY KEY,
team_name VARCHAR (50) REFERENCES tms.team (team_name) ON DELETE RESTRICT,
student_email VARCHAR (50) REFERENCES tms.student (email) ON DELETE RESTRICT,
request_status VARCHAR (50),
student_name VARCHAR (100)
); | true |
6719e8e7d794292202db8822037e087e89cddf00 | SQL | gryphonshafer/pnwquizzing | /config/db/1628093585_create_db/deploy.sql | UTF-8 | 2,043 | 3.734375 | 4 | [
"LicenseRef-scancode-unknown-license-reference",
"MIT"
] | permissive | CREATE TABLE IF NOT EXISTS org (
org_id INTEGER PRIMARY KEY AUTOINCREMENT,
name TEXT NOT NULL UNIQUE,
acronym TEXT NOT NULL UNIQUE,
address TEXT,
active INTEGER CHECK( active = 1 OR active = 0 ) NOT NULL DEFAULT 1
);
CREATE TABLE IF NOT EXISTS user (
user_id INTEGER PRIMARY KEY AUTOINCREMENT,
org_id INTEGER,
username TEXT CHECK( LENGTH(username) > 0 ) NOT NULL UNIQUE,
passwd TEXT CHECK( LENGTH(passwd) > 0 ) NOT NULL,
first_name TEXT CHECK( LENGTH(first_name) > 0 ) NOT NULL,
last_name TEXT CHECK( LENGTH(last_name) > 0 ) NOT NULL,
email TEXT CHECK( email LIKE '%_@__%.__%' ) NOT NULL UNIQUE,
roles TEXT,
last_login TEXT,
active INTEGER CHECK( active = 1 OR active = 0 ) NOT NULL DEFAULT 1,
FOREIGN KEY (org_id) REFERENCES org(org_id) ON UPDATE CASCADE ON DELETE SET NULL
);
CREATE TABLE IF NOT EXISTS meet (
meet_id INTEGER PRIMARY KEY AUTOINCREMENT,
org_id INTEGER,
name TEXT NOT NULL,
org_override TEXT,
address_override TEXT,
start TEXT NOT NULL,
days INTEGER NOT NULL DEFAULT 2,
deadline INTEGER NOT NULL DEFAULT 14,
house INTEGER CHECK( house = 1 OR house = 0 ) NOT NULL DEFAULT 0,
lunch INTEGER CHECK( lunch = 1 OR lunch = 0 ) NOT NULL DEFAULT 0,
FOREIGN KEY (org_id) REFERENCES org(org_id) ON UPDATE CASCADE ON DELETE SET NULL
);
CREATE TABLE IF NOT EXISTS entry (
entry_id INTEGER PRIMARY KEY AUTOINCREMENT,
meet_id INTEGER NOT NULL,
user_id INTEGER NOT NULL,
org_id INTEGER,
registration TEXT,
created TEXT NOT NULL DEFAULT ( STRFTIME( '%Y-%m-%dT%H:%M:%fZ', 'NOW' ) ),
FOREIGN KEY (meet_id) REFERENCES meet(meet_id) ON UPDATE CASCADE ON DELETE SET NULL,
FOREIGN KEY (user_id) REFERENCES user(user_id) ON UPDATE CASCADE ON DELETE SET NULL,
FOREIGN KEY (org_id) REFERENCES org(org_id) ON UPDATE CASCADE ON DELETE SET NULL
);
| true |
f87c1f434272dc2e95935da3e7d5976787b4abc5 | SQL | sbishop7/DojoAssignments | /Python/MySQL/World/8_numberOfCountries.sql | UTF-8 | 367 | 3.640625 | 4 | [] | no_license | # 8. What query would you run to summarize the number of countries in each region?
# The query should display the name of the region and the number of countries.
# Also, the query should arrange the result by the number of countries in descending order.
USE world;
SELECT region, count(name) AS countries FROM countries
GROUP BY region
ORDER BY count(name) DESC; | true |
1af7bc95263ff5703ae8a53ab603133cc9c4a67e | SQL | mcrobertw/codigosvarios | /SQLSERVER-OperacionImposible-01.sql | UTF-8 | 400 | 2.984375 | 3 | [] | no_license | create table DEUDA(
iddeuda INTEGER not null constraint DEUDA_PK_IDDEUDA primary key(iddeuda),
idcliente INTEGER constraint DEUDA_FKDEUDACLIENTE_idcliente foreign key references CLIENTE(idcliente),
descripcion_deuda VARCHAR(90),
montooriginal NUMERIC(7,2),
montopendiente NUMERIC(7,2) check (montopendiente<=montooriginal),
estado VARCHAR(30) check (estado='PENDIENTE' OR estado='VIGENTE'),
); | true |
e1b01f1c86a922f997a1e0501787f03b273d9614 | SQL | jchoi0415/sqltraining | /T-SQL/UsingSubQueriesAndAPPLY.sql | UTF-8 | 613 | 3.96875 | 4 | [] | no_license | SELECT MAX(UnitPrice)
FROM SalesLT.SalesOrderDetail;
SELECT *
FROM SalesLT.Product
WHERE ListPrice > 1467.01;
SELECT *
FROM SalesLT.Product
WHERE ListPrice >
(SELECT MAX(UnitPrice) FROM SalesLT.SalesOrderDetail);
SELECT CustomerID, SalesOrderID, OrderDate
FROM SalesLT.SalesOrderHeader AS so1
WHERE OrderDate =
(SELECT MAX(OrderDate)
FROM SalesLT.SalesOrderHeader AS so2
WHERE so2.CustomerID = so1.CustomerID)
ORDER BY CustomerID;
SELECT soh.SalesOrderID, MUP.MaxUnitPrice
FROM SalesLT.SalesOrderHeader AS soh
CROSS APPLY SalesLT.udfMaxUnitPrice(soh.SalesOrderID) AS MUP
ORDER BY soh.SalesOrderID;
| true |
b6b7e63fd4c02a1187a56e85315447bd42baec79 | SQL | ngarciaiii/sqlzoo.net | /SELECT_within_SELECT.sql | UTF-8 | 5,663 | 4.40625 | 4 | [] | no_license | /*
| name | continent | area | population | gdp |
| Afghanistan | Asia | 652230 | 25500100 | 20343000000 |
| Albania | Europe | 28748 | 2831741 | 12960000000 |
| Algeria | Africa | 2381741 | 37100000 | 188681000000 |
| Andorra | Europe | 468 | 78115 | 3712000000 |
| Angola | Africa | 1246700 | 20609294 | 100990000000 |
| ... |
1) List each country name where the population is larger than that of 'Russia'.
world (name, continent, area, population, gdp)
*/
SELECT name, continent, area, population, gdp FROM world
WHERE population > (SELECT population FROM world WHERE name = 'Russia')
/*
2) Show the countries in Europe with a per capita GDP greater than 'United Kingdom'.
*/
SELECT name FROM world
WHERE continent = 'Europe'
AND gdp/population > (SELECT gdp/population FROM world WHERE name = 'United Kingdom')
/*
3) List the name and continent of countries in the continents containing either Argentina or Australia.
Order by name of the country.
*/
SELECT name, continent FROM world
WHERE continent IN (SELECT name FROM world WHERE name IN ('Argentina', 'Australia'))
ORDER BY name
/*
4) Which country has a population that is more than Canada but less than Poland?
Show the name and the population.
*/
SELECT name, population FROM world
WHERE population > (SELECT population FROM world WHERE name = 'Canada')
AND population < (SELECT population FROM world WHERE name = 'Poland')
/*
5) Germany (population 80 million) has the largest population of the countries in Europe.
Austria (population 8.5 million) has 11% of the population of Germany.
Show the name and the population of each country in Europe.
Show the population as a percentage of the population of Germany.
Decimal places
You can use the function ROUND to remove the decimal places.
Percent symbol %
You can use the function CONCAT to add the percentage symbol.
*/
SELECT name,
CONCAT(ROUND((population*100)/(SELECT population FROM world WHERE name = 'Germany') 0) %)
FROM world
WHERE continent = 'Europe'
/*
To get a well rounded view of the important features of SQL you should move on to the next tutorial concerning aggregates.
To gain an absurdly detailed view of one insignificant feature of the language, read on.
We can use the word ALL to allow >= or > or < or <=to act over a list. For example,
you can find the largest country in the world, by population with this query:
You need the condition population>0 in the sub-query as some countries have null for population.
*/
SELECT name FROM world
WHERE population >= ALL(SELECT population FROM world WHERE population>0)
/*
6) Which countries have a GDP greater than every country in Europe?
[Give the name only.] (Some countries may have NULL gdp values)
*/
SELECT name FROM world
WHERE gdp > ALL (SELECT gdp FROM world WHERE continent = 'Europe' AND gdp > 0)
/*
We can refer to values in the outer SELECT within the inner SELECT.
We can name the tables so that we can tell the difference between the inner and outer versions.
7) Find the largest country (by area) in each continent, show the continent, the name and the area:
*/
SELECT continent, name, area FROM world x
WHERE area >= ALL (SELECT area FROM world y WHERE y.continent=x.continent
AND area > 0)
/*
8) List each continent and the name of the country that comes first alphabetically.
*/
SELECT contient, name FROM world x
WHERE name <= ALL(SELECT name FROM world y WHERE y.continent = x.continent)
/*
Difficult Questions That Utilize Techniques Not Covered In Prior Sections
9) Find the continents where all countries have a population <= 25000000.
Then find the names of the countries associated with these continents.
Show name, continent and population.
*/
SELECT name, continent, population FROM world x
WHERE 25000000 > ALL (SELECT population FROM world y
WHERE x.continent = y.continent AND y.population > 0)
/*
10) Some countries have populations more than three times that of any of their neighbours
(in the same continent). Give the countries and continents.
*/
SELECT name, continent FROM world x
WHERE population > ALL(SELECT population*3 FROM world y WHERE x.continent = y.continent AND population > 0 AND y.name != x.name)
-- QUIZ
/*
1) Select the code that shows the name, region and population of the smallest country in each region
*/
SELECT region, name, population FROM bbc x
WHERE population <= ALL (SELECT population FROM bbc y WHERE y.region=x.region AND population>0)
/*
2) Select the code that shows the countries belonging to regions with all populations over 50000
*/
SELECT name,region,population FROM bbc x
WHERE 50000 < ALL (SELECT population FROM bbc y WHERE x.region=y.region AND y.population>0)
/*
3) Select the code that shows the countries with a less than a third of the population of the countries around it
*/
SELECT name, region FROM bbc x
WHERE population < ALL (SELECT population/3 FROM bbc y WHERE y.region = x.region AND y.name != x.name)
/*
4) Select the result that would be obtained from the following code:
| France |
| Germany |
| Russia |
| Turkey |
*/
/*
5) Select the code that would show the countries with a greater GDP than any country in Africa
(some countries may have NULL gdp values).
*/
SELECT name FROM bbc
WHERE gdp > (SELECT MAX(gdp) FROM bbc WHERE region = 'Africa')
/*
6) Select the code that shows the countries with population smaller than Russia but bigger than Denmark
*/
SELECT name FROM bbc
WHERE population < (SELECT population FROM bbc WHERE name='Russia')
AND population > (SELECT population FROM bbc WHERE name='Denmark')
/*
7) >Select the result that would be obtained from the following code:
| Bangladesh |
| India |
| Pakistan |
*/
| true |
06ccad8c45e3870325df319eca529b45cf8af24b | SQL | clabnet/DataTestLoader | /ConsoleAppTest/DatabaseScripts/PC-DESKTOP-northwind_mini-POSTDATA.sql | UTF-8 | 856 | 2.53125 | 3 | [
"Apache-2.0"
] | permissive | --
-- PostgreSQL database dump
--
SET statement_timeout = 0;
SET lock_timeout = 0;
SET client_encoding = 'UTF8';
SET standard_conforming_strings = on;
SET check_function_bodies = false;
SET client_min_messages = warning;
SET search_path = public, pg_catalog;
SET default_tablespace = '';
--
-- Name: pk_categories; Type: CONSTRAINT; Schema: public; Owner: -; Tablespace:
--
ALTER TABLE ONLY category
ADD CONSTRAINT pk_categories PRIMARY KEY (category_id);
--
-- Name: pk_customers; Type: CONSTRAINT; Schema: public; Owner: -; Tablespace:
--
ALTER TABLE ONLY customer
ADD CONSTRAINT pk_customers PRIMARY KEY (customer_id);
--
-- Name: pk_products; Type: CONSTRAINT; Schema: public; Owner: -; Tablespace:
--
ALTER TABLE ONLY product
ADD CONSTRAINT pk_products PRIMARY KEY (product_id);
--
-- PostgreSQL database dump complete
--
| true |
30649dc2c9b258b6cc22407544d1310e30e64288 | SQL | sergiomt/hipergate | /classes/trunk/com/knowgate/hipergate/datamodel/tables/jobs.ddl | UTF-8 | 8,922 | 3.03125 | 3 | [] | no_license |
CREATE TABLE k_lu_job_commands
(
id_command CHAR(4) NOT NULL, /* Comando de ejecuci�n */
tx_command VARCHAR(254) NULL, /* Descripci�n de la acci�n */
nm_class CHARACTER VARYING(254) NULL, /* Nombre de la clase Java que ejecuta la accion */
CONSTRAINT pk_lu_job_commands PRIMARY KEY(id_command)
)
GO;
CREATE TABLE k_lu_job_status
(
id_status SMALLINT NOT NULL,
tr_en VARCHAR(30) NULL,
tr_es VARCHAR(30) NULL,
tr_de VARCHAR(30) NULL,
tr_it VARCHAR(30) NULL,
tr_fr VARCHAR(30) NULL,
tr_pt VARCHAR(30) NULL,
tr_ca VARCHAR(30) NULL,
tr_eu VARCHAR(30) NULL,
tr_ja VARCHAR(30) NULL,
tr_cn VARCHAR(30) NULL,
tr_tw VARCHAR(30) NULL,
tr_ru VARCHAR(30) NULL,
tr_nl VARCHAR(30) NULL,
tr_th VARCHAR(30) NULL,
tr_cs VARCHAR(30) NULL,
tr_uk VARCHAR(30) NULL,
tr_no VARCHAR(30) NULL,
tr_sk VARCHAR(30) NULL,
tr_pl VARCHAR(30) NULL,
tr_vn VARCHAR(30) NULL,
tr_u1 VARCHAR(30) NULL,
tr_u2 VARCHAR(30) NULL,
tr_u3 VARCHAR(30) NULL,
tr_u4 VARCHAR(30) NULL,
CONSTRAINT pk_lu_job_status PRIMARY KEY (id_status)
)
GO;
CREATE TABLE k_jobs
(
gu_job CHAR(32) NOT NULL, /* GUID del proceso */
gu_workarea CHAR(32) NOT NULL, /* GUID de la workarea */
gu_writer CHAR(32) NOT NULL, /* GUID del usuario que cre� el job */
id_command CHAR(4) NOT NULL, /* Comando de ejecuci�n */
id_status SMALLINT NOT NULL, /* Estado, pendiente, suspendido, abortado, terminado. */
dt_created DATETIME DEFAULT CURRENT_TIMESTAMP, /* Fecha de creaci�n del registro */
tl_job VARCHAR(100) NULL, /* Titulo descriptivo del job */
gu_job_group CHAR(32) NULL, /* GUID del lote de proceso */
tx_parameters VARCHAR(2000) NULL, /* Par�metros de ejecuci�n (atributo=valor,atributo=valor,...) */
dt_execution DATETIME NULL, /* Fecha programada de ejecuci�n */
dt_finished DATETIME NULL, /* Fecha de terminaci�n */
dt_modified DATETIME NULL, /* Fecha de modificaci�n del registro */
nu_sent INTEGER DEFAULT 0,
nu_opened INTEGER DEFAULT 0,
nu_unique INTEGER DEFAULT 0,
nu_clicks INTEGER DEFAULT 0,
CONSTRAINT pk_jobs PRIMARY KEY(gu_job)
)
GO;
CREATE TABLE k_job_atoms
(
gu_job CHAR(32) NOT NULL,
pg_atom SERIAL,
dt_execution DATETIME DEFAULT CURRENT_TIMESTAMP,
id_status SMALLINT DEFAULT 1,
id_format CHARACTER VARYING(4) DEFAULT 'TXT',
tp_recipient CHARACTER VARYING(4) NULL,
gu_company CHAR(32) NULL,
gu_contact CHAR(32) NULL,
tx_email CHARACTER VARYING(100) NULL,
tx_name VARCHAR(200) NULL,
tx_surname VARCHAR(200) NULL,
tx_salutation VARCHAR(16) NULL,
nm_commercial VARCHAR(70) NULL,
tp_street VARCHAR(16) NULL,
nm_street VARCHAR(100) NULL,
nu_street VARCHAR(16) NULL,
tx_addr1 VARCHAR(100) NULL,
tx_addr2 VARCHAR(100) NULL,
nm_country VARCHAR(50) NULL,
nm_state VARCHAR(30) NULL,
mn_city VARCHAR(50) NULL,
zipcode VARCHAR(30) NULL,
work_phone VARCHAR(16) NULL,
direct_phone VARCHAR(16) NULL,
home_phone VARCHAR(16) NULL,
mov_phone VARCHAR(16) NULL,
fax_phone VARCHAR(16) NULL,
other_phone VARCHAR(16) NULL,
po_box VARCHAR(50) NULL,
tx_log VARCHAR(254) NULL,
CONSTRAINT pk_job_atoms PRIMARY KEY(pg_atom)
)
GO;
CREATE TABLE k_job_atoms_archived
(
gu_job CHAR(32) NOT NULL,
pg_atom INTEGER NOT NULL,
dt_execution DATETIME DEFAULT CURRENT_TIMESTAMP,
id_status SMALLINT DEFAULT 1,
id_format VARCHAR(4) DEFAULT 'TXT',
gu_company CHAR(32) NULL,
gu_contact CHAR(32) NULL,
tx_email CHARACTER VARYING(100) NULL,
tx_name VARCHAR(200) NULL,
tx_surname VARCHAR(200) NULL,
tx_salutation VARCHAR(16) NULL,
nm_commercial VARCHAR(70) NULL,
tp_street VARCHAR(16) NULL,
nm_street VARCHAR(100) NULL,
nu_street VARCHAR(16) NULL,
tx_addr1 VARCHAR(100) NULL,
tx_addr2 VARCHAR(100) NULL,
nm_country VARCHAR(50) NULL,
nm_state VARCHAR(30) NULL,
mn_city VARCHAR(50) NULL,
zipcode VARCHAR(30) NULL,
work_phone VARCHAR(16) NULL,
direct_phone VARCHAR(16) NULL,
home_phone VARCHAR(16) NULL,
mov_phone VARCHAR(16) NULL,
fax_phone VARCHAR(16) NULL,
other_phone VARCHAR(16) NULL,
po_box VARCHAR(50) NULL,
tx_log VARCHAR(254) NULL,
CONSTRAINT pk_job_atoms_archived PRIMARY KEY(gu_job, pg_atom)
)
GO;
CREATE TABLE k_job_atoms_tracking
(
gu_job CHAR(32) NOT NULL,
pg_atom INTEGER NOT NULL,
dt_action DATETIME DEFAULT CURRENT_TIMESTAMP,
id_status SMALLINT DEFAULT 1,
gu_company CHAR(32) NULL,
gu_contact CHAR(32) NULL,
ip_addr CHARACTER VARYING(16) NULL,
tx_email CHARACTER VARYING(100) NULL,
user_agent VARCHAR(254) NULL
)
GO;
CREATE TABLE k_jobs_atoms_by_day
(
dt_execution CHAR(10) NOT NULL,
gu_job CHAR(32) NOT NULL,
gu_workarea CHAR(32) NOT NULL,
gu_job_group CHAR(32) NULL,
nu_msgs INTEGER DEFAULT 0,
nu_docs INTEGER DEFAULT 0,
CONSTRAINT pk_jobs_atoms_by_day PRIMARY KEY(dt_execution,gu_job)
)
GO;
CREATE TABLE k_jobs_atoms_by_hour
(
dt_hour SMALLINT NOT NULL,
gu_job CHAR(32) NOT NULL,
gu_workarea CHAR(32) NOT NULL,
gu_job_group CHAR(32) NULL,
nu_msgs INTEGER DEFAULT 0,
CONSTRAINT pk_jobs_atoms_by_hour PRIMARY KEY(dt_hour,gu_job)
)
GO;
CREATE TABLE k_jobs_atoms_by_agent
(
id_agent VARCHAR(50) NOT NULL,
gu_job CHAR(32) NOT NULL,
gu_workarea CHAR(32) NOT NULL,
gu_job_group CHAR(32) NULL,
nu_msgs INTEGER DEFAULT 0,
CONSTRAINT pk_jobs_atoms_by_agent PRIMARY KEY(id_agent,gu_job)
)
GO;
CREATE TABLE k_job_atoms_clicks
(
gu_job CHAR(32) NOT NULL,
pg_atom INTEGER NOT NULL,
gu_url CHAR(32) NOT NULL,
dt_action DATETIME DEFAULT CURRENT_TIMESTAMP,
id_status SMALLINT DEFAULT 1,
gu_company CHAR(32) NULL,
gu_contact CHAR(32) NULL,
ip_addr CHARACTER VARYING(16) NULL,
tx_email CHARACTER VARYING(100) NULL
)
GO;
CREATE TABLE k_queries
(
gu_query CHAR(32) NOT NULL,
dt_created DATETIME DEFAULT CURRENT_TIMESTAMP,
gu_workarea CHAR(32) NOT NULL,
tl_query VARCHAR(100) NOT NULL,
nm_queryspec CHARACTER VARYING(128) NOT NULL,
dt_modified DATETIME NULL,
nm_field1 VARCHAR(32) NULL,
nm_field2 VARCHAR(32) NULL,
nm_field3 VARCHAR(32) NULL,
nm_operator1 CHARACTER VARYING(2) NULL,
nm_operator2 CHARACTER VARYING(2) NULL,
nm_operator3 CHARACTER VARYING(2) NULL,
tx_value1 VARCHAR(255) NULL,
tx_value2 VARCHAR(255) NULL,
tx_value3 VARCHAR(255) NULL,
vl_code1 VARCHAR(255) NULL,
vl_code2 VARCHAR(255) NULL,
vl_code3 VARCHAR(255) NULL,
tx_condition1 CHARACTER VARYING(3) NULL,
tx_condition2 CHARACTER VARYING(3) NULL,
tx_orderby CHARACTER VARYING(255) NULL,
tx_columns CHARACTER VARYING(4000) NULL,
CONSTRAINT pk_queries PRIMARY KEY (gu_query),
CONSTRAINT u1_queries UNIQUE(gu_workarea,tl_query),
CONSTRAINT c1_queries CHECK (nm_field1 IS NULL OR LENGTH(nm_field1)>0),
CONSTRAINT c2_queries CHECK (nm_field2 IS NULL OR LENGTH(nm_field2)>0),
CONSTRAINT c3_queries CHECK (nm_field3 IS NULL OR LENGTH(nm_field3)>0),
CONSTRAINT c4_queries CHECK (nm_operator1 IS NULL OR LENGTH(nm_operator1)>0),
CONSTRAINT c5_queries CHECK (nm_operator2 IS NULL OR LENGTH(nm_operator2)>0),
CONSTRAINT c6_queries CHECK (nm_operator3 IS NULL OR LENGTH(nm_operator3)>0),
CONSTRAINT c7_queries CHECK (tx_value1 IS NULL OR LENGTH(tx_value1)>0),
CONSTRAINT c8_queries CHECK (tx_value2 IS NULL OR LENGTH(tx_value2)>0),
CONSTRAINT c9_queries CHECK (tx_value3 IS NULL OR LENGTH(tx_value3)>0)
)
GO;
CREATE TABLE k_events (
id_domain INTEGER NOT NULL,
id_event CHARACTER VARYING(64) NOT NULL,
dt_created DATETIME DEFAULT CURRENT_TIMESTAMP,
dt_modified DATETIME NULL,
bo_active SMALLINT DEFAULT 1,
gu_writer CHAR(32) NOT NULL,
id_command CHAR(4) NOT NULL,
id_app INTEGER NOT NULL,
gu_workarea CHAR(32) NULL,
fixed_rate INTEGER NULL,
de_event CHARACTER VARYING(254) NULL,
tx_parameters VARCHAR(2000) NULL,
CONSTRAINT pk_events PRIMARY KEY (id_domain,id_event),
CONSTRAINT c1_events CHECK (fixed_rate IS NULL OR fixed_rate>0)
)
GO;
| true |
4435385ef2c41fc8c8542b4af339868b2f08e6cc | SQL | JunpeiAnzai/workflow-examples | /machine-learning/sfdc-predictive-analytics/queries/minmax_test.sql | UTF-8 | 406 | 2.515625 | 3 | [] | no_license | SELECT
-- fill NULLs w/ mean values
AVG(annualrevenue) AS test_avg_annualrevenue,
AVG(numberofemployees) AS test_avg_numberofemployees,
-- for min-max normalization
MAX(annualrevenue) AS test_max_annualrevenue, MIN(annualrevenue) AS test_min_annualrevenue,
MAX(numberofemployees) AS test_max_numberofemployees, MIN(numberofemployees) AS test_min_numberofemployees
FROM
samples_test_${task}
;
| true |
57fc3fa8f24ca1313fee89eede632c16f9a0279e | SQL | Bgreen23/api-lab-template | /jedi.sql | UTF-8 | 2,069 | 2.984375 | 3 | [] | no_license | -- MySQL dump 10.13 Distrib 5.7.18, for Linux (x86_64)
--
-- Host: localhost Database: jedidb
-- ------------------------------------------------------
-- Server version 5.7.18-0ubuntu0.16.04.1
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8 */;
/*!40103 SET @OLD_TIME_ZONE=@@TIME_ZONE */;
/*!40103 SET TIME_ZONE='+00:00' */;
/*!40014 SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0 */;
/*!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 */;
/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */;
/*!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 */;
--
-- Table structure for table `jedi`
--
DROP TABLE IF EXISTS `jedi`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `jedi` (
`id` int(148) NOT NULL AUTO_INCREMENT,
`name` varchar(20) NOT NULL,
`rank` varchar(10) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=8 DEFAULT CHARSET=latin1;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Dumping data for table `jedi`
--
LOCK TABLES `jedi` WRITE;
/*!40000 ALTER TABLE `jedi` DISABLE KEYS */;
INSERT INTO `jedi` VALUES (1,'Obi-Wan Kenobi','Master'),(2,'Yoda','Master'),(3,'Plo Koon','Master'),(4,'Ki-Adi-Mundi','Master'),(5,'Kit Fisto','Master'),(6,'Shaak Ti','Master'),(7,'Luke Skywalker','Master');
/*!40000 ALTER TABLE `jedi` ENABLE KEYS */;
UNLOCK TABLES;
/*!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 2018-09-06 11:46:12
| true |
491cca5b5199a09a55600469b75472144017dd5a | SQL | banthaza/UnionSwiss | /UnionSwiss.Api/UnionSwiss.Db/Finance/Data/Script.TaxYears.sql | UTF-8 | 684 | 3.0625 | 3 | [] | no_license | SET
IDENTITY_INSERT [Finance].[TaxYears]
ON;
MERGE INTO [Finance].[TaxYears] AS trgt USING (
VALUES
(5, 'Mar 1 2016 12:00:00:000AM', 'Feb 28 2017 12:00:00:000AM' )
) AS src([Id], [StartDate], [EndDate])
ON trgt.[Id] = src.[Id]
WHEN
MATCHED
THEN
UPDATE
SET
[StartDate] = src.[StartDate] , [EndDate] = src.[EndDate]
WHEN
NOT MATCHED BY TARGET
THEN
INSERT ([Id], [StartDate], [EndDate])
VALUES
(
[Id], [StartDate], [EndDate]
)
WHEN
NOT MATCHED BY SOURCE
THEN
DELETE
;
SET
IDENTITY_INSERT [Finance].[TaxYears] OFF; | true |
1d5de3b5055680ebcb737042abc3c3f2b1498085 | SQL | danmuck/dunce.bot | /data/db/build.sql | UTF-8 | 1,136 | 3.203125 | 3 | [] | no_license | CREATE TABLE IF NOT EXISTS exp (
UserID integer PRIMARY KEY,
UserName text DEFAULT "n/a",
XP integer DEFAULT 0,
Level integer DEFAULT 0,
XPLock text DEFAULT CURRENT_TIMESTAMP
);
-- create table for client guilds for custom prefix
CREATE TABLE IF NOT EXISTS guilds (
GuildID integer PRIMARY KEY,
Prefix text DEFAULT "?"
);
CREATE TABLE IF NOT EXISTS roles (
GuildID integer PRIMARY KEY,
Roles text DEFAULT "roles"
);
-- CREATE TABLE IF NOT EXISTS starboard (
-- RootMessageID integer PRIMARY KEY,
-- StarMessageID integer,
-- Stars integer DEFAULT 1
-- );
CREATE TABLE IF NOT EXISTS links (
ChannelID integer,
Link text PRIMARY KEY,
Category text DEFAULT "n/a",
OrigMessage text DEFAULT "n/a"
);
CREATE TABLE IF NOT EXISTS todo_ (
Notes text PRIMARY KEY,
Added text DEFAULT CURRENT_TIMESTAMP
);
CREATE TABLE IF NOT EXISTS items (
ItemID int PRIMARY KEY,
Name text DEFAULT Null,
Description text DEFAULT Null,
Category text DEFAULT Null
);
CREATE TABLE IF NOT EXISTS gusers (
gUserName text PRIMARY KEY,
gPassword text DEFAULT ""
);
| true |
01860541f9cbd9da9ec59675eae750964fa1a7d8 | SQL | CSant04y/holbertonschool-higher_level_programming | /0x0E-SQL_more_queries/6-states.sql | UTF-8 | 337 | 3.078125 | 3 | [] | no_license | -- script that creates the database hbtn_0d_usa and the table states (in the database hbtn_0d_usa) on your MySQL server
-- Creates a database and a table called states
CREATE DATABASE IF NOT EXISTS hbtn_0d_usa;
CREATE TABLE IF NOT EXISTS hbtn_0d_usa.states (id INT UNIQUE NOT NULL AUTO_INCREMENT PRIMARY KEY, name VARCHAR(256) NOT NULL); | true |
c185faf195802cc01037d0edf1438bd4a94430d2 | SQL | aleleyva10/prime-group-joins | /join-solution.sql | UTF-8 | 1,143 | 4.125 | 4 | [] | no_license | -- 1 Get customers and their addresses
SELECT * FROM customers
JOIN addresses
ON customers.id = addresses.customer_id;
-- 2
SELECT * FROM orders
JOIN line_items
ON orders.id = line_items.order_id;
-- 3
SELECT warehouse, products.description FROM warehouse
JOIN warehouse_product ON warehouse.id = warehouse_product.warehouse_id
JOIN products ON products.id = warehouse_product.product_id
WHERE products.description = 'cheetos';
-- 4
SELECT warehouse.warehouse, products.description FROM warehouse
JOIN warehouse_product ON warehouse.id = warehouse_product.warehouse_id
JOIN products ON products.id = warehouse_product.product_id
WHERE products.description = 'diet pepsi';
-- 5
SELECT customers.first_name, customers.last_name, COUNT(orders.id) FROM customers
JOIN addresses ON customers.id = addresses.customer_id
JOIN orders ON addresses.id = orders.address_id
GROUP BY customers.last_name, customers.first_name;
--6
SELECT COUNT(id) FROM customers
--7
SELECT COUNT(id) FROM products
--8
SELECT SUM(on_hand) FROM warehouse_product
JOIN products ON products.id = warehouse_product.product_id
WHERE products.description = 'diet pepsi';
| true |
986793d80f935f3eee63a668c0f73623a34919d7 | SQL | Mostafayehya/ITI-Web-Stage | /ORM/HelloWorldDB.sql | UTF-8 | 1,956 | 3.046875 | 3 | [] | no_license | -- MySQL Administrator dump 1.4
--
-- ------------------------------------------------------
-- Server version 5.0.18-nt
/*!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 */;
/*!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' */;
--
-- Create schema helloworlddb
--
CREATE DATABASE /*!32312 IF NOT EXISTS*/ helloworlddb;
USE helloworlddb;
--
-- Table structure for table `helloworlddb`.`account`
--
DROP TABLE IF EXISTS `account`;
CREATE TABLE `account` (
`id` int(10) unsigned NOT NULL auto_increment,
`user_name` varchar(30) NOT NULL default '',
`address` varchar(70) default NULL,
`phone` varchar(20) default NULL,
`birthday` datetime default NULL,
`full_name` varchar(70) NOT NULL default '',
`password` varchar(30) NOT NULL default '',
PRIMARY KEY (`id`),
UNIQUE KEY `Index_2` (`user_name`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `helloworlddb`.`account`
--
/*!40000 ALTER TABLE `account` DISABLE KEYS */;
INSERT INTO `account` (`id`,`user_name`,`address`,`phone`,`birthday`,`full_name`,`password`) VALUES
(1,'medhat','address','1234567','2011-03-30 12:35:09','Ahmed Medhat','123456');
/*!40000 ALTER TABLE `account` ENABLE KEYS */;
/*!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 */;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
| true |
293db3d1be360fe449b268e741a6dedbe1a1cb55 | SQL | evrimulgen/FCR | /TR_ROOMS_SPEC_STOP_MOD.sql | WINDOWS-1251 | 629 | 2.859375 | 3 | [] | no_license | --------------------------------------------------------
-- DDL for Trigger TR#ROOMS_SPEC#STOP_MOD
--------------------------------------------------------
CREATE OR REPLACE EDITIONABLE TRIGGER "FCR"."TR#ROOMS_SPEC#STOP_MOD"
before update or delete
on T#ROOMS_SPEC
declare
A#I number;
begin
select count(*)
into A#I
from TT#TR_FLAG
where C#VAL = 'ROOMS_SPEC#PASS_MOD'
;
if A#I = 0
then
raise_application_error(-20000,' ('||case when UPDATING then 'update' else 'delete' end||' on "ROOMS_SPEC").');
end if;
end;
/
ALTER TRIGGER "FCR"."TR#ROOMS_SPEC#STOP_MOD" DISABLE;
| true |
4e2c496f015913594e55316bc5a9b9b2b860833c | SQL | elundsten/app | /Android back/db copy.sql | UTF-8 | 1,784 | 3.484375 | 3 | [] | no_license | use cleaning_firm;
drop table `agreements`;
drop table `timereports`;
drop table `employeeinfos`;
drop table `logins`;
drop table `ongoingassignments`;
create table agreements (
agreementID int(11) NOT NULL AUTO_INCREMENT,
price float DEFAULT NULL,
city varchar(255) DEFAULT NULL,
hours int(11) DEFAULT NULL,
accepted tinyint(1) DEFAULT NULL,
done tinyint(1) DEFAULT NULL,
createdAt datetime NOT NULL,
updatedAt datetime NOT NULL,
description varchar(255) DEFAULT NULL,
companyName varchar(255) DEFAULT NULL,
PRIMARY KEY (agreementID)
);
create table timereports (
userName varchar(255) NOT NULL,
agreementID int(11) DEFAULT NULL,
dt datetime DEFAULT NULL,
hours int(11) DEFAULT NULL,
createdAt datetime NOT NULL,
updatedAt datetime NOT NULL,
PRIMARY KEY (userName)
);
create table employeeinfos (
userName varchar(255) NOT NULL,
realName float DEFAULT NULL,
city int(11) DEFAULT NULL,
salary float DEFAULT NULL,
createdAt datetime NOT NULL,
updatedAt datetime NOT NULL,
PRIMARY KEY (userName)
);
create table logins (
userName varchar(255) NOT NULL,
password varchar(255) DEFAULT NULL,
salt varchar(255) DEFAULT NULL,
typeOfEmployment varchar(255) DEFAULT NULL,
companyName varchar(255) DEFAULT NULL,
createdAt datetime NOT NULL,
updatedAt datetime NOT NULL,
PRIMARY KEY (userName)
);
create table ongoingassignments (
agreementID varchar(64) NOT NULL,
price float DEFAULT NULL,
city varchar(64) DEFAULT NULL,
hours int(11) DEFAULT NULL,
userName varchar(64) DEFAULT NULL,
activeAssignment tinyint(1) DEFAULT NULL,
createdAt datetime DEFAULT NULL,
updatedAt datetime DEFAULT NULL,
description varchar(255) DEFAULT NULL,
companyName varchar(255) DEFAULT NULL,
PRIMARY KEY (agreementID)
); | true |
c343847f33ad67bf42e2cdcb0de6a4d60d2f0bdb | SQL | svan001/site-bsmt | /src/main/resources/db/migration/V3_0_2__16_04_02_member_tof.sql | UTF-8 | 459 | 2.5625 | 3 | [] | no_license | /**
* Script INSERT Member : predateur
*/
-- Member
INSERT INTO team_member
( nick_name,
forname,
sexe,
role,
birth_date,
description,
gear,
status,
likes,
doesntlikes,
membership_date,
creation_date
)
VALUES (
'tof raider',
'Christophe',
'M', -- M ou F
'Opérateur',
'1974-03-25',
'Paintballer depuis de nombreuses années.',
'TM7',
'P', -- P / M / A / L
'',
'',
'2016-01-16', -- membership_date
sysdate()); -- creation_date
| true |
490e22c095169f02a72fb56d523d503106f7e4c5 | SQL | ifgen-it/SQL-Oracle | /lab_9_5.sql | UTF-8 | 318 | 3.09375 | 3 | [] | no_license | /*Лаба 9.5 Вывести список сотрудников каждого отдела в строку через запятую
*/
select distinct department_id,
listagg(last_name, ', ') within group (order by last_name) over (partition by department_id ) name_list
from employees
order by department_id
;
| true |
b9150a410eb72fba5815e6130caca28128177ff6 | SQL | kaelsilva/bd2-monitoria-u2 | /q4.sql | UTF-8 | 487 | 3.25 | 3 | [
"Unlicense"
] | permissive | DROP PROCEDURE IF EXISTS eVeterano;
DELIMITER //
CREATE PROCEDURE eVeterano (IN piloto_id DOUBLE)
BEGIN
DECLARE n DOUBLE;
DECLARE s VARCHAR(256);
SET n = ( SELECT num_voos
FROM piloto
WHERE codigo = piloto_id);
IF n > 1000 THEN
SET s = 'É veterano!';
ELSE
SET s = 'Não é veterano.';
END IF;
SELECT s;
END; //
DELIMITER ;
-- CALL eVeterano(4); | true |
351cc00cf30e590134d29960ae2ea3e3abb3aaf2 | SQL | viorelcontu/roadmap | /src/main/resources/db/migration/V1.02.00__insert-groups-permissions.sql | UTF-8 | 1,251 | 2.859375 | 3 | [] | no_license | INSERT INTO groups (group_id, group_name) VALUES (9, 'ADMIN');
INSERT INTO groups (group_id, group_name) VALUES (7, 'MANAGER');
INSERT INTO groups (group_id, group_name) VALUES (5, 'AUDIT');
INSERT INTO groups (group_id, group_name) VALUES (3, 'CLIENT');
ALTER TABLE groups READ ONLY;
--ADMIN 9
-- OPERATOR_ADMIN(8),
-- CLIENT_ADMIN(6),
-- HISTORY(2),
-- SERVICES(0);
--MANAGER 7
-- CLIENT_ADMIN(6),
-- HISTORY(2),
-- SERVICES(0);
--AUDIT 5
-- HISTORY(2);
--CLIENT 3
-- SERVICES (0)
INSERT INTO groups_permissions (GROUP_ID, permission_id) VALUES (9, 8);
INSERT INTO groups_permissions (GROUP_ID, permission_id) VALUES (9, 6);
INSERT INTO groups_permissions (GROUP_ID, permission_id) VALUES (9, 2);
INSERT INTO groups_permissions (GROUP_ID, permission_id) VALUES (9, 0);
INSERT INTO groups_permissions (GROUP_ID, permission_id) VALUES (7, 6);
INSERT INTO groups_permissions (GROUP_ID, permission_id) VALUES (7, 2);
INSERT INTO groups_permissions (GROUP_ID, permission_id) VALUES (7, 0);
INSERT INTO groups_permissions (GROUP_ID, permission_id) VALUES (5, 2);
-- client privileges: services
INSERT INTO groups_permissions (GROUP_ID, permission_id) VALUES (3, 0);
ALTER TABLE groups_permissions READ ONLY; | true |
6d39094dda0d4ed1d3c7b11823451944b3b7bf08 | SQL | stobita/bike_api | /db/migrations/00005_recruitment_prefecture.sql | UTF-8 | 469 | 3.171875 | 3 | [] | no_license | -- +goose Up
-- SQL in this section is executed when the migration is applied.
CREATE TABLE recruitment_prefecture (
id int unsigned NOT NULL AUTO_INCREMENT,
recruitment_id int NOT NULL,
prefecture_id int NOT NULL,
created_at datetime,
updated_at datetime,
PRIMARY KEY (`id`),
UNIQUE INDEX `unique` (recruitment_id, prefecture_id)
);
-- +goose Down
-- SQL in this section is executed when the migration is rolled back.
DROP TABLE recruitment_prefecture;
| true |
4a036205cc076c2d2a27148b339b28216ede440e | SQL | WesleySiNeves/Scripts_SQL_Server | /4.Cursos-SQL/CursoSQL-762-SQL/Chapter3_Implement transactions/311.explicit and implicit transactions.sql | ISO-8859-1 | 1,407 | 3.671875 | 4 | [] | no_license | use [ExamBook762Ch3]
/*Implicit transactions
vc tem que configurar a opo
SET IMPLICIT_TRANSACTIONS ON;
*/
/*Modo padro */
select * from [Examples].[TestParent]
SELECT @@TRANCOUNT;
INSERT INTO Examples.TestParent(ParentId, ParentName)
VALUES (6, 'Lukas');
SELECT @@TRANCOUNT;
/*Alterando a configuracao*/
SET IMPLICIT_TRANSACTIONS ON;
select * from [Examples].[TestParent]
SELECT @@TRANCOUNT;
INSERT INTO Examples.TestParent(ParentId, ParentName)
VALUES (7, 'Karina');
SELECT @@TRANCOUNT;
SET IMPLICIT_TRANSACTIONS OFF;
/*transaes explicitas*/
--exemplo
BEGIN TRANSACTION;
INSERT INTO Examples.TestParent(ParentId, ParentName)
VALUES (7, 'Mary');
DELETE Examples.TestParent
WHERE ParentName = 'Bob';
IF @@ERROR != 0
BEGIN
ROLLBACK TRANSACTION;
RETURN
END
COMMIT TRANSACTION;
/*transaes explicitas segundo exemplo*/
--exemplo
BEGIN TRANSACTION T1;
delete from [Examples].[TestParent] where ParentId =6
select * from [Examples].[TestParent]
BEGIN TRANSACTION T2;
delete from [Examples].[TestParent] where ParentId =5
select * from [Examples].[TestParent]
COMMIT TRANSACTION T2;
/*Somente quando @@TRANCOUNT estiver igual a zero que o Sql servr
escreve no transaction log
se vc fizer um ROLLBACK TRANSACTION t1 a transao t2 e disfeita*/
select @@TRANCOUNT;
IF @@ERROR != 0
BEGIN
ROLLBACK TRANSACTION T1;
RETURN
END
COMMIT TRANSACTION;
| true |
623b98867d2ac75bc135eb58c2d22795a5566415 | SQL | poissonconsulting/fwapg | /sql/tables/source/fwa_coastlines_sp.sql | UTF-8 | 1,565 | 2.890625 | 3 | [
"MIT"
] | permissive | CREATE TABLE whse_basemapping.fwa_coastlines_sp (
linear_feature_id integer PRIMARY KEY,
watershed_group_id integer,
edge_type integer,
blue_line_key integer,
watershed_key integer,
fwa_watershed_code character varying(143),
local_watershed_code character varying(143),
watershed_group_code character varying(4),
downstream_route_measure double precision,
length_metre double precision,
feature_source character varying(15),
feature_code character varying(10),
geom public.geometry(LineString,3005),
wscode_ltree public.ltree GENERATED ALWAYS AS ((replace(replace((fwa_watershed_code)::text, '-000000'::text, ''::text), '-'::text, '.'::text))::public.ltree) STORED,
localcode_ltree public.ltree GENERATED ALWAYS AS ((replace(replace((local_watershed_code)::text, '-000000'::text, ''::text), '-'::text, '.'::text))::public.ltree) STORED
);
CREATE INDEX ON whse_basemapping.fwa_coastlines_sp (edge_type);
CREATE INDEX ON whse_basemapping.fwa_coastlines_sp (blue_line_key);
CREATE INDEX ON whse_basemapping.fwa_coastlines_sp (watershed_key);
CREATE INDEX ON whse_basemapping.fwa_coastlines_sp (watershed_group_code);
CREATE INDEX ON whse_basemapping.fwa_coastlines_sp USING GIST (wscode_ltree);
CREATE INDEX ON whse_basemapping.fwa_coastlines_sp USING BTREE (wscode_ltree);
CREATE INDEX ON whse_basemapping.fwa_coastlines_sp USING GIST (localcode_ltree);
CREATE INDEX ON whse_basemapping.fwa_coastlines_sp USING BTREE (localcode_ltree);
CREATE INDEX ON whse_basemapping.fwa_coastlines_sp USING GIST (geom); | true |
762c02b1c3871a576c82dca6258e7f9a6c8aef63 | SQL | chjuca/Pets_Backend | /sql/db.sql | UTF-8 | 1,339 | 3.71875 | 4 | [] | no_license |
-- Documento creado para almacenar la esturctura de base de datos a trabajar
CREATE TABLE IF NOT EXISTS pets(
id integer PRIMARY KEY GENERATED BY DEFAULT AS IDENTITY,
name VARCHAR(50)NOT NULL CHECK (name <> ''),
age integer NOT NULL,
height integer NOT NULL,
weight integer NOT NULL,
race VARCHAR(50)NOT NULL CHECK (race <> ''),
typeAnimal VARCHAR(15) NOT NULL CHECK (typeAnimal <> ''),
petStatus VARCHAR(15) NOT NULL CHECK (petStatus <> '')
)
CREATE TABLE IF NOT EXISTS USERS
(
id integer PRIMARY KEY GENERATED BY DEFAULT AS IDENTITY,
avatar VARCHAR,
name VARCHAR(80) NOT NULL,
lastname VARCHAR(80) NOT NULL,
numberphone VARCHAR(20) NOT NULL,
status BOOLEAN DEFAULT true
);
CREATE TABLE IF NOT EXISTS CREDENTIALS
(
id integer PRIMARY KEY GENERATED BY DEFAULT AS IDENTITY,
email VARCHAR UNIQUE NOT NULL,
password VARCHAR NOT NULL,
userid integer references USERS(id)
);
CREATE TABLE IF NOT EXISTS ROLES
(
id integer PRIMARY KEY GENERATED BY DEFAULT AS IDENTITY,
name VARCHAR(50) NOT NULL,
description VARCHAR(80)
);
INSERT INTO ROLES (NAME, description)
VALUES
('Dev', 'Hace referencia al desarrollador, para mantenimiento'),
('Admin', 'Hace referencia al administrador con funciones de moderador'),
('User', 'Hace referencia a un usuario comun')
| true |
237198da39b9cfc5487cd7d16267c8123893c388 | SQL | saulo-moura/gfir | /_font/anexo publicacao.sql | UTF-8 | 2,368 | 2.984375 | 3 | [] | no_license | -- MySQL Administrator dump 1.4
--
-- ------------------------------------------------------
-- Server version 5.6.25-log
/*!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 */;
/*!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' */;
--
-- Create schema db_pir_grc
--
CREATE DATABASE IF NOT EXISTS db_pir_grc;
USE db_pir_grc;
--
-- Definition of table `grc_evento_publicacao_canal`
--
DROP TABLE IF EXISTS `grc_evento_publicacao_canal`;
CREATE TABLE `grc_evento_publicacao_canal` (
`idt` int(10) unsigned NOT NULL AUTO_INCREMENT,
`idt_evento_publicacao` int(10) unsigned NOT NULL,
`idt_canal_inscricao` int(10) unsigned NOT NULL,
`quantidade_inscrito` int(10) unsigned NOT NULL,
PRIMARY KEY (`idt`),
UNIQUE KEY `iu_grc_evento_publicacao_canal` (`idt_evento_publicacao`,`idt_canal_inscricao`),
KEY `FK_grc_evento_publicacao_canal_2` (`idt_canal_inscricao`),
CONSTRAINT `FK_grc_evento_publicacao_canal_1` FOREIGN KEY (`idt_evento_publicacao`) REFERENCES `grc_evento_publicacao` (`idt`) ON DELETE CASCADE,
CONSTRAINT `FK_grc_evento_publicacao_canal_2` FOREIGN KEY (`idt_canal_inscricao`) REFERENCES `grc_evento_canal_inscricao` (`idt`)
) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=utf8;
--
-- Dumping data for table `grc_evento_publicacao_canal`
--
/*!40000 ALTER TABLE `grc_evento_publicacao_canal` DISABLE KEYS */;
INSERT INTO `grc_evento_publicacao_canal` (`idt`,`idt_evento_publicacao`,`idt_canal_inscricao`,`quantidade_inscrito`) VALUES
(1,3,1,12);
/*!40000 ALTER TABLE `grc_evento_publicacao_canal` ENABLE KEYS */;
/*!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 */;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
| true |
6c760967c3ff8a44af1406ba76e68a96a37b60ac | SQL | Christianfd/TimeRegistration | /WebToolDB/TimeManagement/Tables/ProjectTables/Country.sql | UTF-8 | 342 | 2.984375 | 3 | [] | no_license | CREATE TABLE [TimeManagement].[Country] (
[PK_Id] INT IDENTITY (1, 1) NOT NULL,
[CountryName] NVARCHAR (50) NOT NULL DEFAULT 'No Country Assigned',
[CountryCode] NVARCHAR(3) NOT NULL DEFAULT '-',
CONSTRAINT [PK_Country] PRIMARY KEY ([PK_Id]),
CONSTRAINT [UC_Country] UNIQUE ([CountryName],[CountryCode]),
);
| true |
ca87e1c19b04d6a49f08500ebf6539625a9627ab | SQL | advaitpatel/CSC-453-Database-Technology | /orac_allfiles/oracle_sql/scripts/ch13/create_ar.sql | UTF-8 | 784 | 3.5625 | 4 | [] | no_license | SPOOL create_ar.log;
PROMPT Creating AR user...
PROMPT
CONNECT system/system;
BEGIN
EXECUTE IMMEDIATE 'DROP USER ar CASCADE';
EXCEPTION
WHEN OTHERS THEN
NULL;
END;
/
CREATE USER ar IDENTIFIED BY ar DEFAULT TABLESPACE users;
GRANT ALL PRIVILEGES TO ar;
PROMPT Creating AR tables...
PROMPT
CONNECT ar/ar;
CREATE TABLE customers
(
customer_id NUMBER NOT NULL,
customer_first_name VARCHAR2(50) NOT NULL,
customer_last_name VARCHAR2(50) NOT NULL,
CONSTRAINT customers_pk
PRIMARY KEY (customer_id)
);
INSERT INTO customers VALUES (1, 'Jack', 'Samson');
INSERT INTO customers VALUES (2, 'Joan', 'Redding');
INSERT INTO customers VALUES (3, 'Jim', 'Abbot');
SPOOL OFF;
PROMPT Check create_ar.log for details...
PROMPT
EXIT; | true |
816e7a4671678dd259b9cc2e879d0461eb5601bf | SQL | thierrydecker/learning_postgresql | /documents/sql/natural_join_001.sql | UTF-8 | 908 | 4.25 | 4 | [] | no_license | CREATE TABLE categories
(
category_id serial PRIMARY KEY,
category_name VARCHAR(255) NOT NULL
);
CREATE TABLE products
(
product_id serial PRIMARY KEY,
product_name VARCHAR(255) NOT NULL,
category_id INT NOT NULL,
FOREIGN KEY (category_id) REFERENCES categories (category_id)
);
INSERT
INTO
categories (category_name)
VALUES
('Smart Phone'),
('Laptop'),
('Tablet');
INSERT
INTO
products (product_name, category_id)
VALUES
('iPhone', 1),
('Samsung Galaxy', 1),
('HP Elite', 2),
('Lenovo Thinkpad', 2),
('iPad', 3),
('Kindle Fire', 3);
SELECT *
FROM
products
NATURAL JOIN categories;
SELECT *
FROM
products
INNER JOIN categories USING (category_id);
SELECT *
FROM
city
NATURAL JOIN country; | true |
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