dense_rank()+hash提示改写优化SQL
数据库环境:SQL SERVER 2005
今天看到一条SQL,返回10条数据,执行了50多S。刚好有空,就对它进行了优化,优化后1S出结果。
先看下原始SQL
SELECT t1.line_no ,
MAX(sat100.confrim_date) confrim_date ,
sam63_lq.company_name ,
sat04.c_code ,
ctlm23.corr_name ,
MAX(sat04.l_date_d) l_date_d ,
SUM(sat05.qty_d_order) qty_d_order ,
sat100.tran_no_row
FROM sat100
INNER JOIN sat101 ON sat100.com_id = sat101.com_id
AND sat100.tran_no = sat101.tran_no
AND sat100.tran_row = sat101.tran_row
LEFT JOIN sat05 ON sat101.com_id = sat05.com_id
AND sat101.p_g_order_no = sat05.p_g_order_no
AND sat101.p_g_order_line = sat05.p_g_order_line
LEFT JOIN sat04 ON sat04.com_id = sat05.com_id
AND sat04.p_g_order_no = sat05.p_g_order_no
LEFT JOIN ctlm22 ON sat05.com_id = ctlm22.com_id
AND sat05.item_no = ctlm22.item_no
LEFT JOIN sam63_lq ON sat100.com_id = sam63_lq.com_id
AND sat100.company_id = sam63_lq.company_id
LEFT JOIN sam60_lq ON sat05.com_id = sam60_lq.com_id
AND sat05.cx_item_no = sam60_lq.cx_item_no
LEFT JOIN sam65_lq ON sat100.car_no = sam65_lq.veh_no
AND sat100.company_id = sam65_lq.company_id
LEFT JOIN ctlm17 ON sat05.com_id = ctlm17.com_id
AND sat05.sa_unit = ctlm17.unit
LEFT JOIN salm02 ON sat04.com_id = salm02.com_id
AND sat04.c_code = salm02.client_id
LEFT JOIN ctlm23 ON sat04.com_id = ctlm23.com_id
AND sat04.c_code = ctlm23.corr_id
LEFT JOIN ctlm08 ON salm02.dept_id = ctlm08.dept_id
LEFT JOIN ( SELECT ROW_NUMBER() OVER ( ORDER BY t2.tran_no_row ) line_no ,
t2.tran_no_row
FROM ( SELECT DISTINCT
sat100.tran_no_row
FROM sat100
INNER JOIN sat101 ON sat100.com_id = sat101.com_id
AND sat100.tran_no = sat101.tran_no
AND sat100.tran_row = sat101.tran_row
LEFT JOIN sat05 ON sat101.com_id = sat05.com_id
AND sat101.p_g_order_no = sat05.p_g_order_no
AND sat101.p_g_order_line = sat05.p_g_order_line
LEFT JOIN sat04 ON sat04.com_id = sat05.com_id
AND sat04.p_g_order_no = sat05.p_g_order_no
LEFT JOIN ctlm22 ON sat05.com_id = ctlm22.com_id
AND sat05.item_no = ctlm22.item_no
LEFT JOIN sam63_lq ON sat100.com_id = sam63_lq.com_id
AND sat100.company_id = sam63_lq.company_id
LEFT JOIN sam60_lq ON sat05.com_id = sam60_lq.com_id
AND sat05.cx_item_no = sam60_lq.cx_item_no
LEFT JOIN ctlm17 ON sat05.com_id = ctlm17.com_id
AND sat05.sa_unit = ctlm17.unit
LEFT JOIN salm02 ON sat04.com_id = salm02.com_id
AND sat04.c_code = salm02.client_id
LEFT JOIN ctlm23 ON sat04.com_id = ctlm23.com_id
AND sat04.c_code = ctlm23.corr_id
LEFT JOIN ctlm08 ON salm02.dept_id = ctlm08.dept_id
WHERE salm02.dept_id LIKE '%'
AND sat100.company_id = ''
AND sat100.corr_id LIKE 'A010131%'
AND sat04.l_date_d >= '2015/06/01 00:00:00'
AND sat04.l_date_d <= '2015/06/30 23:59:59'
) t2
) t1 ON sat100.tran_no_row = t1.tran_no_row
WHERE salm02.dept_id LIKE '%'
AND sat100.company_id = ''
AND sat100.corr_id LIKE 'A010131%'
AND sat04.l_date_d >= '2015/06/01 00:00:00'
AND sat04.l_date_d <= '2015/06/30 23:59:59'
GROUP BY t1.line_no ,
sam63_lq.company_name ,
sat04.c_code ,
ctlm23.corr_name ,
sat100.tran_no_row
ORDER BY t1.line_no ,
sat100.tran_no_row
下面,我来说下我的优化思路:
1.检查SQL的写法是否有问题
先看下子查询部分,发现和外部访问的表及过滤的条件都差不多,用BeyondCompare工具检查外部查询和子查询的差别,相对于外部查询,
子查询少访问了一个表sam65_lq,即少了这部分内容“LEFT JOIN sam65_lq ON sat100.car_no = sam65_lq.veh_no AND sat100.company_id
= sam65_lq.company_id”,恰巧字段veh_no和字段company_id是sam65_lq的联合主键,因此,这部分并没有影响查询的数据。
再看下子查询,它要实现的功能就是根据不重复的tran_no_row生成一个序号,因此,可以用dense_rank()替代子查询实现相同的功能。同时,
sat04有过滤条件,因而可以将left join sat04改成inner join sat04。
改写后的SQL如下:
SELECT line_no ,
MAX(confrim_date) confrim_date ,
company_name ,
c_code ,
corr_name ,
MAX(l_date_d) l_date_d ,
SUM(qty_d_order) qty_d_order ,
tran_no_row
FROM ( SELECT DENSE_RANK() OVER ( ORDER BY sat100.tran_no_row ) AS line_no ,
sat100.confrim_date ,
sam63_lq.company_name ,
sat04.c_code ,
ctlm23.corr_name ,
sat04.l_date_d ,
sat05.qty_d_order ,
sat100.tran_no_row
FROM sat100
INNER JOIN sat101 ON sat100.com_id = sat101.com_id
AND sat100.tran_no = sat101.tran_no
AND sat100.tran_row = sat101.tran_row
LEFT JOIN sat05 ON sat101.com_id = sat05.com_id
AND sat101.p_g_order_no = sat05.p_g_order_no
AND sat101.p_g_order_line = sat05.p_g_order_line
INNER JOIN sat04 ON sat04.com_id = sat05.com_id
AND sat04.p_g_order_no = sat05.p_g_order_no
LEFT JOIN ctlm22 ON sat05.com_id = ctlm22.com_id
AND sat05.item_no = ctlm22.item_no
LEFT JOIN sam63_lq ON sat100.com_id = sam63_lq.com_id
AND sat100.company_id = sam63_lq.company_id
LEFT JOIN sam60_lq ON sat05.com_id = sam60_lq.com_id
AND sat05.cx_item_no = sam60_lq.cx_item_no
LEFT JOIN sam65_lq ON sat100.car_no = sam65_lq.veh_no
AND sat100.company_id = sam65_lq.company_id
LEFT JOIN ctlm17 ON sat05.com_id = ctlm17.com_id
AND sat05.sa_unit = ctlm17.unit
LEFT JOIN salm02 ON sat04.com_id = salm02.com_id
AND sat04.c_code = salm02.client_id
LEFT JOIN ctlm23 ON sat04.com_id = ctlm23.com_id
AND sat04.c_code = ctlm23.corr_id
LEFT JOIN ctlm08 ON salm02.dept_id = ctlm08.dept_id
WHERE salm02.dept_id IS NOT NULL
AND sat100.company_id = ''
AND sat100.corr_id LIKE 'A010131%'
AND sat04.l_date_d >= '2015/06/01 00:00:00'
AND sat04.l_date_d <= '2015/06/30 23:59:59'
) t
GROUP BY line_no ,
company_name ,
c_code ,
corr_name ,
tran_no_row
ORDER BY line_no ,
tran_no_row
执行后,检查数据,发现和原始SQL的数据一致,说明改写的语法没有问题。但是,执行的时间没多大改观。
2.检查是否有缺失索引
看了下执行计划,发现在表sat100和表sat04上都走了索引扫描,在sat100表上没有针对company_id和corr_id建和组合索引,sat04表上也没有
针对l_date_d字段建的索引,而恰巧这些列的选择性都和高,适合建索引。
建了索引后,再执行SQL,发现最快的还是要10S。不行,还得继续优化。
3.检查执行计划,看执行计划是否合理
sat05走了索引查找,它的查询开销达到88%。sat05表作为嵌套循环的内部表,外部表有5W多行记录,sat05表总共有50多W条记录,
且在sat05表上没有任何过滤条件。因此,可以判定,这里不应该走嵌套循环,应该使用哈希连接。所以,直接强制走哈希即可。
改写优化后的完整SQL如下:
SELECT line_no ,
MAX(confrim_date) confrim_date ,
company_name ,
c_code ,
corr_name ,
MAX(l_date_d) l_date_d ,
SUM(qty_d_order) qty_d_order ,
tran_no_row
FROM ( SELECT DENSE_RANK() OVER ( ORDER BY sat100.tran_no_row ) AS line_no ,
sat100.confrim_date ,
sam63_lq.company_name ,
sat04.c_code ,
ctlm23.corr_name ,
sat04.l_date_d ,
sat05.qty_d_order ,
sat100.tran_no_row
FROM sat100
INNER JOIN sat101 ON sat100.com_id = sat101.com_id
AND sat100.tran_no = sat101.tran_no
AND sat100.tran_row = sat101.tran_row
LEFT HASH JOIN sat05 ON sat101.com_id = sat05.com_id
AND sat101.p_g_order_no = sat05.p_g_order_no
AND sat101.p_g_order_line = sat05.p_g_order_line
INNER JOIN sat04 ON sat04.com_id = sat05.com_id
AND sat04.p_g_order_no = sat05.p_g_order_no
LEFT JOIN ctlm22 ON sat05.com_id = ctlm22.com_id
AND sat05.item_no = ctlm22.item_no
LEFT JOIN sam63_lq ON sat100.com_id = sam63_lq.com_id
AND sat100.company_id = sam63_lq.company_id
LEFT JOIN sam60_lq ON sat05.com_id = sam60_lq.com_id
AND sat05.cx_item_no = sam60_lq.cx_item_no
LEFT JOIN sam65_lq ON sat100.car_no = sam65_lq.veh_no
AND sat100.company_id = sam65_lq.company_id
LEFT JOIN ctlm17 ON sat05.com_id = ctlm17.com_id
AND sat05.sa_unit = ctlm17.unit
LEFT JOIN salm02 ON sat04.com_id = salm02.com_id
AND sat04.c_code = salm02.client_id
LEFT JOIN ctlm23 ON sat04.com_id = ctlm23.com_id
AND sat04.c_code = ctlm23.corr_id
LEFT JOIN ctlm08 ON salm02.dept_id = ctlm08.dept_id
WHERE salm02.dept_id IS NOT NULL
AND sat100.company_id = ''
AND sat100.corr_id LIKE 'A010131%'
AND sat04.l_date_d >= '2015/06/01 00:00:00'
AND sat04.l_date_d <= '2015/06/30 23:59:59'
) t
GROUP BY line_no ,
company_name ,
c_code ,
corr_name ,
tran_no_row
ORDER BY line_no ,
tran_no_row
dense_rank()+hash提示改写优化SQL的更多相关文章
- 利用查询提示优化SQL
数据库环境:SQL SERVER 2005 我们来看一下SQL语句及对应的数据量 SELECT COUNT(*) FROM cinvout_02 a WHERE ( a.dept_id IN ( SE ...
- 优化sql,返回行数少情况下,NL比hash快好多
sql如下 select t.id, t.value, tt.sort as sortno from ENGINEERING_TYPE t left join ENGINEERING_TYPE tt ...
- sql语句优化SQL Server
MS SQL Server查询优化方法查询速度慢的原因很多,常见如下几种 1.没有索引或者没有用到索引(这是查询慢最常见的问题,是程序设计的缺陷) 2.I/O吞吐量小,形成了 ...
- 转载 50种方法优化SQL Server数据库查询
原文地址 http://www.cnblogs.com/zhycyq/articles/2636748.html 50种方法优化SQL Server数据库查询 查询速度慢的原因很多,常见如下几种: 1 ...
- [20181220]使用提示OR_EXPAND优化.txt
[20181220]使用提示OR_EXPAND优化.txt --//链接http://www.itpub.net/thread-2107240-2-1.html,http://www.itpub.ne ...
- merge into优化sql(转)
使用Merge INTO优化SQL,性能提升巨大 分类: Oracle 2017-04-13 10:55:07 说说背景:开发有个需求,需要对新加的一个字段根据特定的业务逻辑更新数据.TPS_TR ...
- 如何用 SQL Tuning Advisor (STA) 优化SQL语句
在Oracle10g之前,优化SQL是个比较费力的技术活,不停的分析执行计划,加hint,分析统计信息等等.在10g中,Oracle推出了自己的SQL优化辅助工具: SQL优化器(SQL Tuning ...
- mysql优化SQL语句的一般步骤及常用方法
一.优化SQL语句的一般步骤 1. 通过show status命令了解各种SQL的执行频率 mysqladmin extended-status 或: show [session|global]sta ...
- 利用ordered hints优化SQL
SQL_ID 4g70n3k9bqc5v, child number 0 ------------------------------------- MERGE INTO YJBZH_GRXDFHZ ...
随机推荐
- 【转】调整mac电脑鼠标移动速度
原文网址:https://www.zhihu.com/question/19579075 作者:陆猛链接:https://www.zhihu.com/question/19579075/answer/ ...
- android学习——android架构
android架构:在了解全局的情况下进行细致化的分析才能更有效的学习android的运行原理,才能更深刻的理解android开发: 1.架构图直观 2.架构详解 2.1.Linux Kernel 2 ...
- 使用pupperlabs yum repo
http://docs.puppetlabs.com/guides/puppetlabs_package_repositories.html
- Yii路径总结(转)
如果是 // 就会默认去调 protected/views/layouts //代表 绝对路径 其实 就是 绝对和相对的关系 /代表相对路径,如module/user下的layout 用单斜杠的话默 ...
- [置顶] shell变量赋值-linux
Shell变量赋值 命名须规则: 1)使用变量无需事先声明 2)首个字符必须为字母(a-z,A-Z) 3)中间不能有空格,可以使用下划线(_) 4)不能使用标点符号 5)不能使用bash里的关键字(可 ...
- Yii2 自定义Gii生成代码模板
我们使用一个例子来介绍如何定制代码模板.假设我们想要定制由 model 生成器生成的代码. 我们首先创建一个名为 protected/gii/model/templates/customer 的目录. ...
- SQL 中having 和where的区别分析
在select语句中可以使用groupby子句将行划分成较小的组,然后,使用聚组函数返回每一个组的汇总信息,另外,可以使用having子句限制返回的结果集 在select语句中可以使用groupby子 ...
- sublimeText3安装package control和禁止弹出更新下载弹窗
1.sublimeText3安装package control import urllib.request,os; pf = 'Package Control.sublime-package'; ip ...
- Android开发之点九图的制作说明
总结: 左边的点代表垂直拉伸的区域, 上边的点代表水平拉伸的区域. 右边的点代表文字等的垂直可可显示区域. 下边的点代表文字等的水平可显示区域. 左上重合的区域就是拉伸区域. 右下重合的区域就是显示区 ...
- Android开发_Android数据的四种存储方式
Android系统一共提供了四种数据存储方式.分别是:SharePreference.SQLite.Content Provider和File.由于Android系统中,数据基本都是私有的的,都是存放 ...