DM数据库SQL分页案例
DM一哥们找我优化条分页的SQL语句，结果集很小返回99行数据，废话不说安排一下。
原始SQL语句如下，保密要求，给真实的表名换了别名：
SELECT count(*)
FROM (SELECT TMP.*,
ROWNUM ROW_ID
FROM (select *
from (select pp.BIZ_PERSON_ID partyPersonOid,
pp.BIZ_PERSON_ID bizPersonId,
pp.PERSON_ID personOid,
pp.PERSON_ID personId,
pp.A01065 a01065,
jbt.task_oid taskOid,
pp.A01084 idNo,
pp.A01001 name,
jfa34.jfa34009 jfa34009,
jfa34.jfa34010 jfa34010,
jfa34.jfa34013 jfa34013,
jfa34.jfa34014 jfa34014,
bu.UNIT_ID unitOid,
bu.B01001 unitName,
bu.JFB01002 adminUnitName,
bu.PARENT_UNIT_ID parentUnitId,
(CASE
WHEN jfw01.JFW01009 = '1' THEN '是'
WHEN jfw01.JFW01009 = '0' THEN '否'
else '' end) isTfPerson,
jbt.CREATED_DATE createdDate,
jbt.UPDATED_DATE updatedDate,
jbt.PROCESS_RESULT processResult,
jbt.start_time startTime,
jbt.complete_time completeTime,
jbt.CREATED_DATE creatTaskTime,
jbt.UPDATED_DATE updateTaskTime,
jbt.item_code itemCode,
jbt.BIZ_STATUS_CODE bizStatusCode,
jbt.BIZ_STATUS_NAME bizStatusName,
jbt.PRE_BIZ_STATUS_CODE preBizStatusCode,
jbt.PRE_BIZ_STATUS_NAME preBizStatusName,
jbt.AUDIT_STATUS_CODE auditStatusCode,
jbt.AUDIT_STATUS_NAME auditStatusName,
jbt.PRE_AUDIT_STATUS_CODE preAuditStatusCode,
jbt.PRE_AUDIT_STATUS_NAME preAuditStatusName,
jbt.PROCESS_DEPT_CODE processDeptCode,
jbt.PROCESS_DEPT_NAME processDeptName,
jbti.task_item_code taskItemCode,
jbti.task_item_name taskItemName,
jbti.pre_task_item_code preTaskItemCode,
jbti.pre_task_item_name preTaskItemName,
jfa34002 dutyPost,
jfa34005 dutyPosition,
row_number() over (partition by jbt.task_oid order by jbti.UPDATED_DATE desc) as rn,
(case
when jbt.BIZ_STATUS_CODE = 'WU999' then ''
else
(SELECT bl.REMARK
FROM qqqqq bl
where bl.biz_Status_Code IN
('WU104', 'WU107', 'WM106', 'WM109', 'WM112', 'WU110', 'WM115', 'WU110',
'WM115')
AND bl.TASK_OID = jbt.TASK_OID
order by bl.CREATED_DATE DESC LIMIT 1) end) reCallOpinion,
to_char(rr.a15021, 'yyyy') as promoteYear,
rr.a15017 as reviewResultType
FROM aaaaa jbti,
bbbbb jbt
inner join ccccc pp
on
jbt.task_oid = pp.TASK_ID
left join ddddd jfw01
on
pp.biz_person_id = jfw01.biz_person_id
left join uuuuu jfa34
on
pp.biz_person_id = jfa34.biz_person_id
left join vvvvv bu
on
pp.UNIT_ID = bu.UNIT_ID
left join
(select ROW_NUMBER() OVER (PARTITION BY biz_person_id ORDER BY a15021 DESC, handle_Mark desc, id desc) AS num,
a15021,
a15017,
biz_person_id
from rrrrr) rr
on
pp.biz_person_id = rr.biz_person_id
and rr.num = '1'
WHERE jbt.task_oid = jbti.task_oid
and pp.UNIT_ID in
(select unit_oid
from sssss
where user_id = 'admin')
AND jbti.TASK_ITEM_STATUS = '1'
AND jbti.TASK_ITEM_CODE in
(select jmn.FLOW_NODE_CODE
from jjjjj jmn
where jmn.MENU_CODE = 'B742101101')
ORDER BY jbt.UPDATED_DATE DESC)
WHERE rn = 1) TMP
WHERE ROWNUM <= 100)
WHERE ROW_ID > 1;
执行时间：
DM数据库的执行计划太难看了，直接忽略，用瞪眼大法观察下SQL大致看看是哪里慢的。
这段标量子查询去掉以后，单独把SQL拿出来跑，不加外层分页代码，0.1S能出结果，137条记录，大致判断是这里导致慢的因素。
select pp.BIZ_PERSON_ID partyPersonOid,
pp.BIZ_PERSON_ID bizPersonId,
pp.PERSON_ID personOid,
pp.PERSON_ID personId,
pp.A01065 a01065,
jbt.task_oid taskOid,
pp.A01084 idNo,
pp.A01001 name,
jfa34.jfa34009 jfa34009,
jfa34.jfa34010 jfa34010,
jfa34.jfa34013 jfa34013,
jfa34.jfa34014 jfa34014,
bu.UNIT_ID unitOid,
bu.B01001 unitName,
bu.JFB01002 adminUnitName,
bu.PARENT_UNIT_ID parentUnitId,
(CASE
WHEN jfw01.JFW01009 = '1' THEN '是'
WHEN jfw01.JFW01009 = '0' THEN '否'
else '' end) isTfPerson,
jbt.CREATED_DATE createdDate,
jbt.UPDATED_DATE updatedDate,
jbt.PROCESS_RESULT processResult,
jbt.start_time startTime,
jbt.complete_time completeTime,
jbt.CREATED_DATE creatTaskTime,
jbt.UPDATED_DATE updateTaskTime,
jbt.item_code itemCode,
jbt.BIZ_STATUS_CODE bizStatusCode,
jbt.BIZ_STATUS_NAME bizStatusName,
jbt.PRE_BIZ_STATUS_CODE preBizStatusCode,
jbt.PRE_BIZ_STATUS_NAME preBizStatusName,
jbt.AUDIT_STATUS_CODE auditStatusCode,
jbt.AUDIT_STATUS_NAME auditStatusName,
jbt.PRE_AUDIT_STATUS_CODE preAuditStatusCode,
jbt.PRE_AUDIT_STATUS_NAME preAuditStatusName,
jbt.PROCESS_DEPT_CODE processDeptCode,
jbt.PROCESS_DEPT_NAME processDeptName,
jbti.task_item_code taskItemCode,
jbti.task_item_name taskItemName,
jbti.pre_task_item_code preTaskItemCode,
jbti.pre_task_item_name preTaskItemName,
jfa34002 dutyPost,
jfa34005 dutyPosition,
row_number() over (partition by jbt.task_oid order by jbti.UPDATED_DATE desc) as rn,
to_char(rr.a15021, 'yyyy') as promoteYear,
rr.a15017 as reviewResultType
FROM aaaaa jbti,
bbbbb jbt
inner join ccccc pp
on
jbt.task_oid = pp.TASK_ID
left join ddddd jfw01
on
pp.biz_person_id = jfw01.biz_person_id
left join uuuuu jfa34
on
pp.biz_person_id = jfa34.biz_person_id
left join vvvvv bu
on
pp.UNIT_ID = bu.UNIT_ID
left join
(select ROW_NUMBER() OVER (PARTITION BY biz_person_id ORDER BY a15021 DESC, handle_Mark desc, id desc) AS num,
a15021,
a15017,
biz_person_id
from rrrrr) rr
on
pp.biz_person_id = rr.biz_person_id
and rr.num = '1'
WHERE jbt.task_oid = jbti.task_oid
and pp.UNIT_ID in
(select unit_oid
from sssss
where user_id = 'admin')
AND jbti.TASK_ITEM_STATUS = '1'
AND jbti.TASK_ITEM_CODE in
(select jmn.FLOW_NODE_CODE
from jjjjj jmn
where jmn.MENU_CODE = 'B742101101')
ORDER BY jbt.UPDATED_DATE DESC
qqqqq 表加个联合索引再跑分页语句试试。
CREATE INDEX "IDX_TASK_BIZ" ON "qqqqq"("TASK_OID" ASC,"BIZ_STATUS_CODE" ASC) STORAGE(ON "hzgz_xcuatdb", CLUSTERBTR);
还是需要2.34S才能出结果，这个时候笔者就在想会不会是分页框架提供的分页方式不对，换个分页写法再试试。
-- 使用新的分页模板，没改语句
SELECT count(*)
FROM (SELECT *
FROM (SELECT t.*,
rownum ROW_ID
FROM (select pp.BIZ_PERSON_ID partyPersonOid,
pp.BIZ_PERSON_ID bizPersonId,
pp.PERSON_ID personOid,
pp.PERSON_ID personId,
pp.A01065 a01065,
jbt.task_oid taskOid,
pp.A01084 idNo,
pp.A01001 name,
jfa34.jfa34009 jfa34009,
jfa34.jfa34010 jfa34010,
jfa34.jfa34013 jfa34013,
jfa34.jfa34014 jfa34014,
bu.UNIT_ID unitOid,
bu.B01001 unitName,
bu.JFB01002 adminUnitName,
bu.PARENT_UNIT_ID parentUnitId,
(CASE
WHEN jfw01.JFW01009 = '1' THEN '是'
WHEN jfw01.JFW01009 = '0' THEN '否'
else '' end) isTfPerson,
jbt.CREATED_DATE createdDate,
jbt.UPDATED_DATE updatedDate,
jbt.PROCESS_RESULT processResult,
jbt.start_time startTime,
jbt.complete_time completeTime,
jbt.CREATED_DATE creatTaskTime,
jbt.UPDATED_DATE updateTaskTime,
jbt.item_code itemCode,
jbt.BIZ_STATUS_CODE bizStatusCode,
jbt.BIZ_STATUS_NAME bizStatusName,
jbt.PRE_BIZ_STATUS_CODE preBizStatusCode,
jbt.PRE_BIZ_STATUS_NAME preBizStatusName,
jbt.AUDIT_STATUS_CODE auditStatusCode,
jbt.AUDIT_STATUS_NAME auditStatusName,
jbt.PRE_AUDIT_STATUS_CODE preAuditStatusCode,
jbt.PRE_AUDIT_STATUS_NAME preAuditStatusName,
jbt.PROCESS_DEPT_CODE processDeptCode,
jbt.PROCESS_DEPT_NAME processDeptName,
jbti.task_item_code taskItemCode,
jbti.task_item_name taskItemName,
jbti.pre_task_item_code preTaskItemCode,
jbti.pre_task_item_name preTaskItemName,
jfa34002 dutyPost,
jfa34005 dutyPosition,
row_number() over (partition by jbt.task_oid order by jbti.UPDATED_DATE desc) as rn,
(case
when jbt.BIZ_STATUS_CODE = 'WU999' then ''
else
(SELECT bl.REMARK
FROM qqqqq bl
where bl.biz_Status_Code IN
('WU104', 'WU107', 'WM106', 'WM109', 'WM112', 'WU110', 'WM115', 'WU110',
'WM115')
AND bl.TASK_OID = jbt.TASK_OID
order by bl.CREATED_DATE DESC LIMIT 1) end) reCallOpinion,
to_char(rr.a15021, 'yyyy') as promoteYear,
rr.a15017 as reviewResultType
FROM aaaaa jbti,
bbbbb jbt
inner join ccccc pp
on
jbt.task_oid = pp.TASK_ID
left join ddddd jfw01
on
pp.biz_person_id = jfw01.biz_person_id
left join uuuuu jfa34
on
pp.biz_person_id = jfa34.biz_person_id
left join vvvvv bu
on
pp.UNIT_ID = bu.UNIT_ID
left join
(select ROW_NUMBER() OVER (PARTITION BY biz_person_id ORDER BY a15021 DESC, handle_Mark desc, id desc) AS num,
a15021,
a15017,
biz_person_id
from rrrrr) rr
on
pp.biz_person_id = rr.biz_person_id
and rr.num = '1'
WHERE jbt.task_oid = jbti.task_oid
and pp.UNIT_ID in
(select unit_oid
from sssss
where user_id = 'admin')
AND jbti.TASK_ITEM_STATUS = '1'
AND jbti.TASK_ITEM_CODE in
(select jmn.FLOW_NODE_CODE
from jjjjj jmn
where jmn.MENU_CODE = 'B742101101')
ORDER BY jbt.UPDATED_DATE DESC) t)
WHERE rownum <= 100)
WHERE ROW_ID >= 1;
可以看到新的分页语句0.085S就能出结果了，简直秒杀。
总结：开发框架提的分页插件有可能提供错误的分页框架，会极大影响SQL语句原有的性能，需要多测试才能知道分页语句的性能是否符合性能要求，下面笔者提供个正确的分页框架：
select *
from (select *
from (select a.*, rownum rn from (
需要分页的 SQL
) a)
where rownum <= 10)
where rn >= 1;
最后，提供个left join 等价改写的方式干掉上面的标量子查询，但是在本案例中等价改写方式并没有太大性能提升，仅供娱乐：
-- 改分页模板，改SQL
SELECT count(*)
FROM (SELECT *
FROM (SELECT t.*,
rownum ROW_ID
FROM (SELECT pp.BIZ_PERSON_ID partyPersonOid,
pp.BIZ_PERSON_ID bizPersonId,
pp.PERSON_ID personOid,
pp.PERSON_ID personId,
pp.A01065 a01065,
jbt.task_oid taskOid,
pp.A01084 idNo,
pp.A01001 NAME,
jfa34.jfa34009 jfa34009,
jfa34.jfa34010 jfa34010,
jfa34.jfa34013 jfa34013,
jfa34.jfa34014 jfa34014,
bu.UNIT_ID unitOid,
bu.B01001 unitName,
bu.JFB01002 adminUnitName,
bu.PARENT_UNIT_ID parentUnitId,
(CASE
WHEN jfw01.JFW01009 = '1' THEN
'是'
WHEN jfw01.JFW01009 = '0' THEN
'否'
ELSE
''
END) isTfPerson,
jbt.CREATED_DATE createdDate,
jbt.UPDATED_DATE updatedDate,
jbt.PROCESS_RESULT processResult,
jbt.start_time startTime,
jbt.complete_time completeTime,
jbt.CREATED_DATE creatTaskTime,
jbt.UPDATED_DATE updateTaskTime,
jbt.item_code itemCode,
jbt.BIZ_STATUS_CODE bizStatusCode,
jbt.BIZ_STATUS_NAME bizStatusName,
jbt.PRE_BIZ_STATUS_CODE preBizStatusCode,
jbt.PRE_BIZ_STATUS_NAME preBizStatusName,
jbt.AUDIT_STATUS_CODE auditStatusCode,
jbt.AUDIT_STATUS_NAME auditStatusName,
jbt.PRE_AUDIT_STATUS_CODE preAuditStatusCode,
jbt.PRE_AUDIT_STATUS_NAME preAuditStatusName,
jbt.PROCESS_DEPT_CODE processDeptCode,
jbt.PROCESS_DEPT_NAME processDeptName,
jbti.task_item_code taskItemCode,
jbti.task_item_name taskItemName,
jbti.pre_task_item_code preTaskItemCode,
jbti.pre_task_item_name preTaskItemName,
jfa34002 dutyPost,
jfa34005 dutyPosition,
row_number() over (PARTITION BY jbt.task_oid ORDER BY jbti.UPDATED_DATE DESC) AS rn,
(CASE WHEN jbt.BIZ_STATUS_CODE = 'WU999' THEN '' ELSE bl.REMARK END) reCallOpinion,
to_char(rr.a15021, 'yyyy') AS promoteYear,
rr.a15017 AS reviewResultType
FROM aaaaa jbti,
bbbbb jbt
left join
(select *
from (select REMARK,
TASK_OID,
row_number() over (PARTITION by TASK_OID ORDER by CREATED_DATE desc ) as rn
from qqqqq
where biz_Status_Code in ('WU104',
'WU107',
'WM106',
'WM109',
'WM112',
'WU110',
'WM115',
'WU110',
'WM115'))
where rn = 1) bl on jbt.task_oid = bl.task_oid
INNER JOIN ccccc pp
ON jbt.task_oid = pp.TASK_ID
LEFT JOIN ddddd jfw01
ON pp.biz_person_id = jfw01.biz_person_id
LEFT JOIN uuuuu jfa34
ON pp.biz_person_id = jfa34.biz_person_id
LEFT JOIN vvvvv bu
ON pp.UNIT_ID = bu.UNIT_ID
LEFT JOIN (SELECT ROW_NUMBER() OVER (PARTITION BY biz_person_id ORDER BY a15021 DESC, handle_Mark DESC, id DESC) AS num,
a15021,
a15017,
biz_person_id
FROM rrrrr) rr
ON pp.biz_person_id = rr.biz_person_id
AND rr.num = '1' WHERE jbt.task_oid = jbti.task_oid
AND pp.UNIT_ID IN
(SELECT unit_oid FROM sssss WHERE user_id = 'admin')
AND jbti.TASK_ITEM_STATUS = '1'
AND jbti.TASK_ITEM_CODE IN
(SELECT jmn.FLOW_NODE_CODE
FROM jjjjj jmn
WHERE jmn.MENU_CODE = 'B742101101')
ORDER BY jbt.UPDATED_DATE DESC) t)
WHERE rownum <= 99)
WHERE ROW_ID >= 1;
DM数据库SQL分页案例的更多相关文章
- 数据库SQL优化大总结之 百万级数据库优化方案(转载)
网上关于SQL优化的教程很多,但是比较杂乱.近日有空整理了一下,写出来跟大家分享一下,其中有错误和不足的地方,还请大家纠正补充. 这篇文章我花费了大量的时间查找资料.修改.排版,希望大家阅读之后,感觉 ...
- 关于数据库SQL优化
1.数据库访问优化 要正确的优化SQL,我们需要快速定位能性的瓶颈点,也就是说快速找到我们SQL主要的开销在哪里?而大多数情况性能最慢的设备会是瓶颈点,如下载时网络速度可能会是瓶颈点,本地复制文件 ...
- 数据库sql优化总结之5--数据库SQL优化大总结
数据库SQL优化大总结 小编最近几天一直未出新技术点,是因为小编在忙着总结整理数据库的一些优化方案,特此奉上,优化总结较多,建议分段去消化,一口吃不成pang(胖)纸 一.百万级数据库优化方案 1.对 ...
- 盘点几种数据库的分页SQL的写法（转）
Data序列——盘点几种数据库的分页SQL的写法http://www.cnblogs.com/fireasy/archive/2013/04/10/3013088.html
- jDialects:一个从Hibernate抽取的支持70多种数据库方言的原生SQL分页工具
jDialects(https://git.oschina.net/drinkjava2/jdialects) 是一个收集了大多数已知数据库方言的Java小项目,通常可用来创建分页SQL和建表DDL语 ...
- 我的sql数据库存储过程分页- -
以前用到数据库存储过程分页的时候都是用 not in 但是最近工作的时候,随着数据库记录的不断增大,发现not in的效率 真的不行 虽然都设置了索引,但是当记录达到10w的时候就发现不行了,都是需要 ...
- sql分页查询（2005以后的数据库）和access分页查询
sql分页查询: select * from ( select ROW_NUMBER() over(order by 排序条件) as rowNumber,* from [表名] where 条件 ) ...
- oracle,mysql,SqlServer三种数据库的分页查询的实例。
MySql: MySQL数据库实现分页比较简单,提供了 LIMIT函数.一般只需要直接写到sql语句后面就行了.LIMIT子 句可以用来限制由SELECT语句返回过来的数据数量,它有一个或两个参数,如 ...
- SQL分页查询，纯Top方式和row_number()解析函数的使用及区别
听同事分享几种数据库的分页查询,自己感觉,还是需要整理一下MS SqlSever的分页查询的. Sql Sever 2005之前版本: select top 页大小 * from 表名 where i ...
- MySQL 数据库增量数据恢复案例
MySQL 数据库增量数据恢复案例 一.场景概述 MySQL数据库每日零点自动全备 某天上午10点,小明莫名其妙地drop了一个数据库 我们需要通过全备的数据文件,以及增量的binlog文件进行数据恢 ...
随机推荐
- salesforce零基础学习（一百二十九）Lead Convertion 有趣的经历
本篇参考:https://help.salesforce.com/s/articleView?id=000382564&type=1 Lead Convertion 是salesforce中s ...
- web系统字典统一中文翻译问题
几乎每个web系统都离不开各种状态码.订单新建,待支付,未支付,已支付,待发货. 消息已读未读,任务待标记待审批已审批待流转已完成未完成.等等. 复杂一点的,会有多级状态码. 状态码超出3个的,一般都 ...
- git: failed to push some refs to
错误原因 没有添加readme文件 解决方案 git pull --rebase origin master 至此问题解决
- 关于python pycharm中输出的内容不全的解决办法
import pandas as pd #设置显示的最大列.宽等参数,消除打印不完全中间的省略号 pd.set_option("display.width",1000) #加了这一 ...
- 部署安装kafka集群
准备 zookeeper节点: 172.50.13.103 172.50.13.104 172.50.13.105 kafka版本: 2.13-2.7.0 安装步骤 部署安装zookeeper集群.参 ...
- Anaconda+PyCharm+Pytorch/tensorflow环境配置个人总结
Anaconda是一个非常方便的python版本管理工具,可以很方便地切换不同版本的Python进行测试.同时不同版本之间也不存在相互的干扰. PyCharm是一款常见的Python IDE,pyto ...
- 【opencv】传统目标检测：HOG+SVM实现行人检测
传统目标分类器主要包括Viola Jones Detector.HOG Detector.DPM Detector,本文主要介绍HOG Detector与SVM分类器的组合实现行人检测. HOG(Hi ...
- 用了好几年的IDEA主题及配置，拿去吧不谢。
前言 最近这几年一直用一套IDEA的主题及配置,分享给各位,如果符合你的口味,可以下载了玩玩. 我个人是非常喜欢的,不管是观感还是敲代码都很爽的. 附上一张代码的主题色,大概就是这样子,我个人喜欢清爽 ...
- Ubuntu虚拟机安装以及在Ubuntu上安装pycharm
一.在VMware上安装Ubuntu操作系统 1.下载Ubuntu镜像文件 下载地址:清华大学开源软件镜像站 | Tsinghua Open Source Mirror 参考文章:Ubuntu系统下载 ...
- 手写raft(三) 实现日志压缩
手写raft(三) 实现日志压缩 在上一篇博客中MyRaft实现了日志复制功能,按照计划接下来需要实现日志压缩. 手写raft(一) 实现leader选举 手写raft(二) 实现日志复制 1. 什么 ...