【性能脚本】psql数据库存储过程构造方法

1、数据库版本:PostgreSQL 14.5
2、psql时间函数:

-- 日期:下个月当天 2023-03-10

SELECT to_date((to_char(( now() + interval '1 month'),'YYYY-MM-DD')),'YYYY-MM-DD')

-- 日期:下个月第一天 2023-03-01

SELECT to_date((to_char(( now() + interval '1 month'),'YYYY-MM-01')),'YYYY-MM-DD')

-- 日期:上个月第一天 2023-01-01

SELECT to_date((to_char(( now() + interval '-1 month'),'YYYY-MM-01')),'YYYY-MM-DD')

-- 日期:本月底 2023-02-28

SELECT (to_date((to_char(( now() + interval '1 month'),'YYYY-MM-01')),'YYYY-MM-DD')-1)::date

SELECT CAST (now() AS timestamp)

SELECT now(),current_timestamp,current_date,current_time,localtime,loca1ltimestamp;

select now() + interval '1 min';

select now() + interval '1 days';

select now() + interval '1 month';

select now() + interval '1 years';

select to_char(now(),'yyyymmddHHMMSS')

3、psql存过实例:

CREATE OR REPLACE PROCEDURE "public"."histable"()

AS BODYBEGIN

do $$

declare

i INTEGER := 10000;

vehicleId VARCHAR(36);

checkintime TIMESTAMP;

checkouttime TIMESTAMP;

declarationNo VARCHAR(50);

licensePlateNo VARCHAR(100);

licensePlateNoBack VARCHAR(100);

taskid VARCHAR(32);

measurevehicleId VARCHAR(32);

seqid VARCHAR(32);

uuId VARCHAR(36);

BEGIN

WHILE i <= 109999 LOOP

i = i + 1;

SELECT INTO vehicleId to_char(now()+ interval '-1 month','yyyymmdd')||CEIL(random()*(1000000000000000-1)+1);

SELECT INTO measurevehicleId 'M'||ceil(random()*(1000000000000000-1)+1);

SELECT INTO checkintime CAST(now()+ interval '-1 month' AS timestamp);

SELECT INTO checkouttime CAST(now()+ interval '-1 month' + '1 min' AS timestamp);

SELECT INTO declarationNo 'DN'||floor(random()*(1000000000-1)+1);

SELECT INTO licensePlateNo 'la' || ceil(random()*(10000000000-1)+1);

SELECT INTO licensePlateNoBack 'lb' || ceil(random()*(10000000000-1)+1);

SELECT INTO taskid 'Alakoll'||ceil(random()*(100000000000000-1)+1);

SELECT INTO uuId 'UUID'||ceil(random()*(100000000000000-1)+1);

-- SELECT INTO uuId gen_random_uuid();

-- vehicleId := CEIL(random()*(1000000000000000-1)+1);

-- measurevehicleId := 'M'||ceil(random()*(1000000000000000-1)+1);

-- checkintime := CAST(now() AS timestamp);

-- checkouttime := CAST(now() + '1 min' AS timestamp);

-- declarationNo := floor(random()*(1000000000-1)+1);

-- licensePlateNo := 'la' || ceil(random()*(10000000000-1)+1);

-- licensePlateNoBack := 'lb' || ceil(random()*(10000000000-1)+1);

-- taskid := 'Alakoll'||ceil(random()*(10000000000-1)+1);

-- seqid := to_char(now(),'yyyymmddHHMMSS');

-- uuId := gen_random_uuid();

INSERT INTO "public"."VEHICLE_INSPECTED_HIS" ("ID", "ALARM_LOGISTICS", "ALARM_TIMEOUT", "ANIMAL_CONCLUSION_TYPE", "ANIMAL_OPERATION_USER_NAME", "ARC_COUNT", "ASYCUDA_CODE", "BLACK_VEHICLE", "BUSINESS_TYPE", "CHECK_IN_ARRIVAL_TIME", "CHECK_IN_TIME", "CHECK_OUT_ARRIVAL_TIME", "CHECK_OUT_TIME", "COMBINE_STATUS", "CONCLUSION_REMARK", "CONCLUSION_TYPE", "CONTAINER_NUMBER", "CREATION_TIME", "DC_CONCLUSION_TIME", "DECLARATION_NUMBER", "DEST_PORT_CODE", "DEST_PORT_NUMBER", "DIRECTION", "ENTRY_TUNNEL", "HEALTH_CONCLUSION_TYPE", "HEALTH_OPERATION_USER_NAME", "INSPECTED_PORT_CODE", "INSPECTED_PORT_NUMBER", "JOINT_INSPECTION_TIME", "LICENSE_PLATE_NUMBER", "LICENSE_PLATE_NUMBER_BACK", "LOCKED", "LOCKED_TIME", "LOCKED_USER_ACCOUNT", "LOCKED_USER_ID", "LOCKED_USER_NAME", "LOGISTICS", "LOGISTICS_FINISH", "LOGISTICS_REQUEST", "NORMAL_END", "OPERATION_TIME", "OPERATION_USER_ACCOUNT", "OPERATION_USER_ID", "OPERATION_USER_NAME", "ORIGIN_PORT_CODE", "ORIGIN_PORT_NUMBER", "ORIGIN_VEHICLE_ID", "PI_CONCLUSION_TIME", "PLANT_CONCLUSION_TYPE", "PLANT_OPERATION_USER_NAME", "LANE_NUMBER", "SITE", "RELEASE", "RELEASE_CONFIRM_TIME", "RFID_NUMBER", "RISK_LEVEL", "SUSPICION_MARK", "SYN_STATUS", "TRAILER", "TRANSFERED_CENTRE", "TRANSIPORT_CONCLUSION_TYPE", "VEHICLE_HEIGHT", "VEHICLE_LENGTH", "VEHICLE_STATUS", "VEHICLE_TYPE", "VEHICLE_WEIGHT", "VEHICLE_WIDTH", "XRAY_PRIP_SUCCESS", "XRAY_SAVE_PATH", "XRAY_SCAN", "XRAY_SCAN_END_TIME", "XRAY_SCAN_ID", "XRAY_SCAN_START_TIME", "DCIN_MODE", "PRD_ALARM", "SENDED_CENTRE", "ADDED_PIN", "XRAY_SCAN_STATUS", "DCIN_CONCLUSION_TYPE", "PIN_CONCLUSION_TYPE", "ARC_FACTOR_TYPE", "SEIZED_POSITION", "SEIZED_GOODS", "ANIMAL_LOCK_USER_ACCOUNT", "HEALTH_LOCK_USER_ACCOUNT", "MEASURE", "MEASURE_FINISH", "PLANT_LOCK_USER_ACCOUNT", "SELECT_LANE", "TASK_ID", "WHITE_LIST", "XRAY_SCAN_FINISH", "PLAN_LANENUMBER", "DC_EXPORT_COUNT", "SCAN_MODE", "PLAN_LANENUMBER_SCAN_MODE", "PRINT_COUNT", "SCAN_RESULT") VALUES (vehicleId, 'f', 'f', 'PASSED', 'wgp', NULL, NULL, 'f', 'EXPORT', checkintime, checkintime, NULL, checkouttime, 'f', 'No Suspect', 'RELEASE', 'SIIU8005669,SIIU6033094', checkintime, checkouttime, declarationNo, NULL, NULL, 'EXPORT', 'f', 'PASSED', 'wgp', 'Alakol', '10002', NULL, licensePlateNo, licensePlateNoBack, 'f', NULL, NULL, NULL, NULL, 'f', 'f', 'f', 't', checkouttime, 'wgp', '7a4ae50c-c255-4206-95f2-9aaef19e816f', 'wgp', 'Alakol', '10002', NULL, NULL, 'PASSED', 'wgp', '1', 'ICIA', 't', checkouttime, NULL, NULL, 'f', 'f', 'f', 'f', 'PASSED', NULL, NULL, 'FINISHCHECKED', 'TRUCK', NULL, NULL, 't', '/nii/97201MB02/2021/0608/97201MB0220210608003/', 't', checkintime, '97201MB0220210608003', checkintime, 'LOCAL', 'f', NULL, NULL, 'f', 'PASS', NULL, NULL, NULL, NULL, NULL, NULL, 't', 't', NULL, 'SCAN', taskid, NULL, 't', '1', 0, 'FS', 'J', 0, 'SUCCESS');

INSERT INTO "public"."VEHICLE_INSPECTION_HIS" ("ID", "CONCLUSION_REMARK", "CONCLUSION_TYPE", "CREATION_TIME", "END_TIME", "INSPECTION_STEP", "LICENSE_PLATE_NUMBER", "MODIFY_TIME", "MODIFY_USER_ACCOUNT", "MODIFY_USER_ID", "MODIFY_USER_NAME", "OPERATION_TIME", "OPERATION_USER_ACCOUNT", "OPERATION_USER_ID", "OPERATION_USER_NAME", "PASS", "START_TIME", "VEHICLE_ID") VALUES (uuId||'a', '通过', 'PASSED', checkintime, checkouttime, 'ANIMALCHECK', NULL, NULL, NULL, NULL, NULL, checkintime, 'wgp3', 'd30b62af-879e-4996-af1a-0cd74c632c5d', 'wgp3', 't', checkintime, vehicleId);

INSERT INTO "public"."VEHICLE_INSPECTION_HIS" ("ID", "CONCLUSION_REMARK", "CONCLUSION_TYPE", "CREATION_TIME", "END_TIME", "INSPECTION_STEP", "LICENSE_PLATE_NUMBER", "MODIFY_TIME", "MODIFY_USER_ACCOUNT", "MODIFY_USER_ID", "MODIFY_USER_NAME", "OPERATION_TIME", "OPERATION_USER_ACCOUNT", "OPERATION_USER_ID", "OPERATION_USER_NAME", "PASS", "START_TIME", "VEHICLE_ID") VALUES (uuId||'b', '通过', 'PASSED', checkintime, checkouttime, 'PLANTCHECK', NULL, NULL, NULL, NULL, NULL, checkintime, 'wgp3', 'd30b62af-879e-4996-af1a-0cd74c632c5d', 'wgp3', 't', checkintime, vehicleId);

INSERT INTO "public"."VEHICLE_INSPECTION_HIS" ("ID", "CONCLUSION_REMARK", "CONCLUSION_TYPE", "CREATION_TIME", "END_TIME", "INSPECTION_STEP", "LICENSE_PLATE_NUMBER", "MODIFY_TIME", "MODIFY_USER_ACCOUNT", "MODIFY_USER_ID", "MODIFY_USER_NAME", "OPERATION_TIME", "OPERATION_USER_ACCOUNT", "OPERATION_USER_ID", "OPERATION_USER_NAME", "PASS", "START_TIME", "VEHICLE_ID") VALUES (uuId||'c', '通过', 'PASSED', checkintime, checkouttime, 'HEALTHCHECK', NULL, NULL, NULL, NULL, NULL, checkintime, 'wgp3', 'd30b62af-879e-4996-af1a-0cd74c632c5d', 'wgp3', 't', checkintime, vehicleId);

INSERT INTO "public"."VEHICLE_INSPECTION_HIS" ("ID", "CONCLUSION_REMARK", "CONCLUSION_TYPE", "CREATION_TIME", "END_TIME", "INSPECTION_STEP", "LICENSE_PLATE_NUMBER", "MODIFY_TIME", "MODIFY_USER_ACCOUNT", "MODIFY_USER_ID", "MODIFY_USER_NAME", "OPERATION_TIME", "OPERATION_USER_ACCOUNT", "OPERATION_USER_ID", "OPERATION_USER_NAME", "PASS", "START_TIME", "VEHICLE_ID") VALUES (uuId||'d', '遣返', 'REPATRIATE', checkintime, checkouttime, 'TRAFFICCONFIRM', licensePlateNo, NULL, NULL, NULL, NULL, checkintime, 'wgp3', 'd30b62af-879e-4996-af1a-0cd74c632c5d', 'wgp3', 't', checkintime, vehicleId);

END LOOP;

END $$;

ENDBODY

LANGUAGE plpgsql

相关推荐
SimonKing1 分钟前
震惊:怎么回事,opencode一轮对话耗尽免费额度
java·后端·程序员
装不满的克莱因瓶5 分钟前
【SpringAI Alibaba】ReactAgent响应SSE实时流式传输案例实战
java·人工智能·ai·sse·springai
.痞老板.7 分钟前
mysql初阶--数据库设计
数据库·mysql·oracle
杨凯凡8 分钟前
Spring Boot 文件上传怎么做才安全?流式落盘、路径校验与数据库一致性实战
java·spring boot·文件上传·后端安全·数据库一致性
这个昵称不容易34 分钟前
旅游管理系统的设计与实现(SpringBoot + MySQL + Vue 前后端分离)
java·springboot·毕设
Rain的Java大神之路35 分钟前
LeetCode 37 解数独面试攻略:回溯 + 位掩码 + MRV,从暴力到毫秒级求解
java·后端·leetcode
Decay__2 小时前
SQL Server 数据库全栈运维实战系列 — 合集索引(24 篇)
运维·数据库·sql·mysql·架构
天天被压力2 小时前
【A股分钟级高频数据完全手册 #11】券商实时行情数据接口:实时交易(券商源)接入与字段
java·人工智能·python
Thanks_ks2 小时前
SQL 的 GROUP BY 与聚合函数:从会写 SELECT 到会做统计
数据库·sql·mysql·group by·数据统计·聚合函数·having
天天被压力2 小时前
【A股分钟级高频数据完全手册 #12】股票五档盘口数据接口:买卖五档实时盘口解析
java·人工智能·python