MySQL Execution Plan--IN查询计划(2)
在MySQL中,IN查找经常出现性能问题,相同SQL在MySQL不同版本中表现不同。
准备测试数据:
## 创建表tb001
CREATE TABLE tb001(
id INT unsigned NOT NULL AUTO_INCREMENT,
cid INT unsigned NOT NULL DEFAULT 0,
c1 VARCHAR(50) NOT NULL DEFAULT '',
c2 VARCHAR(50) NOT NULL DEFAULT '',
c3 VARCHAR(50) NOT NULL DEFAULT '',
c4 VARCHAR(50) NOT NULL DEFAULT '',
c5 VARCHAR(50) NOT NULL DEFAULT '',
c6 VARCHAR(50) NOT NULL DEFAULT '',
PRIMARY KEY(id),
INDEX idx_cid(cid)
); ## 第一次插入数据
INSERT INTO tb001
select NULL,
FLOOR(RAND() * 1000000),
REPEAT('a', 50),
REPEAT('a', 50),
REPEAT('a', 50),
REPEAT('a', 50),
REPEAT('a', 50),
REPEAT('a', 50)
from information_schema.COLUMNS; ## 循环执行多次,使得tb001中包含百万数据
INSERT INTO tb001
select NULL,
FLOOR(RAND() * 1000000),
REPEAT('a', 50),
REPEAT('a', 50),
REPEAT('a', 50),
REPEAT('a', 50),
REPEAT('a', 50),
REPEAT('a', 50)
FROM tb001; ## 创建表tb002
CREATE TABLE tb002(
id int NOT NULL AUTO_INCREMENT primary key,
cid int
) ## 向表中插入10条数据,cid值分散
INSERT INTO tb002(cid)
SELECT cid FROM tb001
order by id desc
LIMIT 10
表tb0001中包含上百万数据,表tb002中包含10条数据。
================================================================================
测试SQL 1:
SELECT *
FROM tb001
WHERE cid IN(
SELECT cid FROM tb002
);
MySQL 5.5.14版本执行计划为:
## MySQL 5.5.14版本执行计划
+----+--------------------+-------+------+---------------+------+---------+------+---------+-------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+--------------------+-------+------+---------------+------+---------+------+---------+-------------+
| 1 | PRIMARY | tb001 | ALL | NULL | NULL | NULL | NULL | 4080170 | Using where |
| 2 | DEPENDENT SUBQUERY | tb002 | ALL | NULL | NULL | NULL | NULL | 10 | Using where |
+----+--------------------+-------+------+---------------+------+---------+------+---------+-------------+
MySQL 5.7.24版本执行计划为:
## MySQL 5.7.24版本
+----+--------------+-------------+------------+------+---------------+---------+---------+-----------------+------+----------+-----------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+--------------+-------------+------------+------+---------------+---------+---------+-----------------+------+----------+-----------------------+
| 1 | SIMPLE | <subquery2> | NULL | ALL | NULL | NULL | NULL | NULL | NULL | 100.00 | Using where |
| 1 | SIMPLE | tb001 | NULL | ref | idx_cid | idx_cid | 4 | <subquery2>.cid | 5 | 100.00 | Using index condition |
| 2 | MATERIALIZED | tb002 | NULL | ALL | NULL | NULL | NULL | NULL | 10 | 100.00 | NULL |
+----+--------------+-------------+------------+------+---------------+---------+---------+-----------------+------+----------+-----------------------+
在MySQL 5.7.24版本使用FORMAT=JOSN查看执行计划:
{
"query_block": {
"select_id": ,
"cost_info": {
"query_cost": "80.25"
},
"nested_loop": [
{
"table": {
"table_name": "<subquery2>",
"access_type": "ALL",
"attached_condition": "(`<subquery2>`.`cid` is not null)",
"materialized_from_subquery": {
"using_temporary_table": true,
"query_block": {
"table": {
"table_name": "tb002",
"access_type": "ALL",
"rows_examined_per_scan": ,
"rows_produced_per_join": ,
"filtered": "100.00",
"cost_info": {
"read_cost": "1.00",
"eval_cost": "2.00",
"prefix_cost": "3.00",
"data_read_per_join": ""
},
"used_columns": [
"cid"
]
}
}
}
}
},
{
"table": {
"table_name": "tb001",
"access_type": "ref",
"possible_keys": [
"idx_cid"
],
"key": "idx_cid",
"used_key_parts": [
"cid"
],
"key_length": "",
"ref": [
"<subquery2>.cid"
],
"rows_examined_per_scan": ,
"rows_produced_per_join": ,
"filtered": "100.00",
"index_condition": "(`demodb`.`tb001`.`cid` = `<subquery2>`.`cid`)",
"cost_info": {
"read_cost": "59.37",
"eval_cost": "1.19",
"prefix_cost": "80.25",
"data_read_per_join": "5K"
},
"used_columns": [
"id",
"cid",
"c1",
"c2",
"c3",
"c4",
"c5",
"c6"
]
}
}
]
}
}
在MySQL 5.5.14版本中,循环遍历tb001表中每行记录去做IN条件判断,执行时间超过5分钟
在MySQL 5.7.24版本中,会将IN条件中数据固化(materialized_from_subquery)形成派生表subquery2,并且推断出cid is not null,再循环遍历subquery2中每条记录,去tb001中按照cid列上进行INDEX SEEK,查询执行低于10ms
================================================================================
测试SQL2:
将tb002中数据显示放入到IN列表中,最终SQL为:
SELECT *
FROM tb001
WHERE cid IN(
116672,660886,729254,328461,971017,508875,524453,704463,332621,986215
)
MySQL 5.5.14版本执行计划为:
## MySQL 5.5.14版本
+----+-------------+-------+-------+---------------+---------+---------+------+------+-------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------+-------+---------------+---------+---------+------+------+-------------+
| 1 | SIMPLE | tb001 | range | idx_cid | idx_cid | 4 | NULL | 70 | Using where |
+----+-------------+-------+-------+---------------+---------+---------+------+------+-------------+
MySQL 5.7.24版本执行计划为:
## MySQL 5.7.24版本
+----+-------------+-------+------------+-------+---------------+---------+---------+------+------+----------+-----------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+-------+---------------+---------+---------+------+------+----------+-----------------------+
| 1 | SIMPLE | tb001 | NULL | range | idx_cid | idx_cid | 4 | NULL | 67 | 100.00 | Using index condition |
+----+-------------+-------+------------+-------+---------------+---------+---------+------+------+----------+-----------------------+
排除MySQL 5.7版本中新增加的partitions和filtered两列,两个版本执行计划相同,执行时间类似,均低于10ms。
两个版本上使用PROFILING工具查看,执行消耗类似,主要消耗在Sending data部分。
+----------------------+----------+----------+------------+--------------+---------------+-------+
| Status | Duration | CPU_user | CPU_system | Block_ops_in | Block_ops_out | Swaps |
+----------------------+----------+----------+------------+--------------+---------------+-------+
| starting | 0.000067 | 0.000000 | 0.000000 | 0 | 0 | 0 |
| checking permissions | 0.000008 | 0.000000 | 0.000000 | 0 | 0 | 0 |
| Opening tables | 0.000018 | 0.000000 | 0.000000 | 0 | 0 | 0 |
| init | 0.000037 | 0.000000 | 0.000000 | 0 | 0 | 0 |
| System lock | 0.000011 | 0.000000 | 0.000000 | 0 | 0 | 0 |
| optimizing | 0.000011 | 0.000000 | 0.000000 | 0 | 0 | 0 |
| statistics | 0.000211 | 0.000000 | 0.000000 | 0 | 0 | 0 |
| preparing | 0.000020 | 0.000000 | 0.000000 | 0 | 0 | 0 |
| executing | 0.000003 | 0.000000 | 0.000000 | 0 | 0 | 0 |
| Sending data | 0.000863 | 0.000999 | 0.000000 | 0 | 0 | 0 |
| end | 0.000007 | 0.000000 | 0.000000 | 0 | 0 | 0 |
| query end | 0.000013 | 0.000000 | 0.000000 | 0 | 0 | 0 |
| closing tables | 0.000008 | 0.000000 | 0.000000 | 0 | 0 | 0 |
| freeing items | 0.000029 | 0.000000 | 0.000000 | 0 | 0 | 0 |
| cleaning up | 0.000015 | 0.000000 | 0.000000 | 0 | 0 | 0 |
+----------------------+----------+----------+------------+--------------+---------------+-------+
================================================================================
测试SQL3: 将IN查询中的值数量升级到1000个
SELECT *
FROM tb001
WHERE cid IN(
116672,660886,729254,328461,971017,508875,524453,704463,332621,986215,866151,114847,236027,355097,179820,848000,20061,750768,577927,46289,884506,125414,247522,370732,202046,546500,510151,334752,54537,979311,280673,141351,808694,634040,787169,767269,683058,549341,21216,852246,413339,738149,759136,352510,1139,217728,695834,753814,24412,122749,529778,175380,782375,912165,592817,350640,386794,861110,972919,1162,10964,17887,692823,815410,128075,274989,82291,378821,937272,102514,191765,952105,856253,109720,564116,236953,873550,710266,225927,139790,491008,105084,344804,872979,6697,720169,864716,201138,46991,677939,780901,742190,310016,269296,345489,152716,139365,181369,255827,365922,191261,196795,264238,374799,536585,769376,770099,360373,343922,453079,973825,472015,128750,57246,385826,623962,577995,755338,66232,858607,75601,506466,485577,973807,461152,443985,919591,51324,445677,59020,283141,452228,326000,392591,212319,556335,856452,575308,6696,486058,807865,517756,593638,150145,719029,148334,7547,296467,491596,387171,481420,6643,850599,415450,408884,876324,657578,470523,898345,340401,934554,444123,762021,788661,393761,60048,968827,928029,557106,952500,735131,907719,267822,810464,594832,721233,337111,988107,201142,339201,164954,828523,659221,489194,928916,51796,776687,943881,314239,875771,21539,410642,10557,880715,464339,146994,756877,879131,546259,617388,846894,872361,504970,550830,83060,954824,897020,510092,551147,415215,174976,486556,419268,536594,421235,856526,620466,415268,151958,114842,140750,862970,58033,142398,217986,315845,453746,317628,44799,302122,488604,380299,137631,769285,902931,581791,335341,364971,163172,483630,84993,980445,939078,238315,84166,60838,73342,101958,812149,319595,261943,996707,240530,401982,589793,515662,662839,599511,778239,430561,458189,953461,103039,520579,833285,881949,192153,359606,535292,438951,219822,886719,71259,156525,903788,787472,677858,533940,997280,484154,141164,407221,631648,250340,206684,594360,588372,115834,663600,67388,224447,18283,955656,253332,103668,421670,1561,528711,547332,735983,44194,161663,588041,926180,14287,381752,631491,591901,109338,651597,382883,754272,129493,297731,119721,433624,16134,549015,242980,888629,66722,814994,669416,844029,183576,691284,90948,254486,727160,793772,413900,91910,681883,105835,282431,435440,298257,685281,709383,953878,353336,270935,333779,465988,998720,509204,515767,689877,977873,66495,784868,952616,659404,448134,860423,617993,743182,365972,362226,815053,904346,902227,535596,258584,919108,778986,991941,393573,658641,633211,169139,404161,283889,671761,358306,706590,391548,83717,9012,320448,864410,667200,157197,372929,902483,46495,443331,56720,613423,3466,801302,1015,734591,223981,461771,28291,893228,812617,389953,379049,835098,265480,164101,851675,698091,212927,455515,688217,661856,207022,791084,916134,929861,244391,430698,636367,250379,871843,702945,880961,900620,207381,712094,784364,736575,966171,698093,508098,280800,965300,848567,92512,871331,88049,522971,175602,118346,472043,80623,310358,490389,47196,581863,620707,507224,971805,783933,315954,598613,225703,843301,330268,936013,116599,215661,987235,573506,960098,742328,583847,725637,14779,782753,632995,794074,112459,589407,944859,44963,759985,584987,388317,785534,846450,148906,299360,449298,315711,43085,299906,152148,153611,538636,179857,786883,584852,712460,992482,83318,808035,318953,595577,886311,278659,835662,966550,332363,231755,275471,48533,322399,187820,205567,613339,620376,496181,953509,90456,832923,691387,541337,671766,605831,119130,663274,732413,332930,310747,73601,352420,229499,265026,31876,964786,264017,451767,331606,735422,448501,169028,465546,52902,266321,759568,843839,486543,196292,831639,320635,257178,655086,339417,680667,354639,697510,44304,174670,276348,402357,245147,607792,597938,793966,123964,941952,528598,233680,546601,833108,872981,510598,560004,429807,196344,850638,352283,303592,55226,990846,633002,58054,885757,123577,244043,698879,750118,17238,112023,180960,597592,602334,138026,29265,669433,439301,842357,590828,370595,754049,799883,748456,647466,162958,55774,371971,934694,433834,411492,207875,542628,501755,655383,591720,767739,82326,547963,219164,515952,120199,695015,784959,743260,643780,491880,605207,844718,872795,173086,664212,382658,749693,455269,175551,807496,953976,987462,661112,106032,289684,780795,871431,192121,29724,318833,521481,429524,208714,871348,716009,902899,932829,587082,861,805741,342614,635777,278757,252670,661531,351662,365593,825435,920527,925733,569380,640389,544189,693518,974468,392940,996745,530261,884854,631337,757277,718349,278156,224144,947521,171155,636084,3089,793120,320837,270355,676980,704848,282421,235752,632113,308271,303081,69045,680715,778177,736723,635146,479670,254401,930779,799831,689459,215822,129883,144532,864259,725588,587894,737960,700636,255074,524911,456494,585854,157592,734035,170861,373424,898753,40114,100606,820973,1419,395375,991819,187906,649238,686094,260411,871987,699842,209075,781844,566715,17244,839836,393978,376685,829816,590799,708059,649832,847034,528447,265067,598963,576582,761316,743333,318450,616306,921026,996276,353451,590326,866060,246658,789077,899576,236268,760588,522224,950178,409555,365866,473258,142,842484,404093,725994,75292,550156,558496,414108,837348,257544,816791,942138,964633,293675,834582,959744,654713,771275,400553,77164,661756,77205,574757,932194,695404,514942,293102,316856,430394,278371,653820,663577,888021,925510,246510,102347,755075,224343,788880,906686,914850,555855,954808,739396,914057,943630,601364,687731,945763,680362,818682,471016,512133,29884,545762,566309,95261,969998,584910,984851,446449,415798,210847,212813,951073,180850,984393,247039,416934,612543,215261,487921,74781,295328,800620,569258,348556,724508,91329,910712,487410,842113,907719,565494,639918,211365,138969,161160,222277,316742,453811,317438,377793,190510,524918,478028,955074,765780,291276,563534,842131,215707,745468,170545,369085,891627,363017,641153,280917,587810,552712,391917,135624,762068,224905,120819,459731,725945,723331,296904,253730,323915,788616,873055,525553,251570,577433,211865,160630,863762,52728,799959,315689,592828,882818,273754,495317,734278,392024,408615,550350,114378,340514,529397,102158,327131,177832,520677,141850,729525,501926,260034,599416,579015,765219,415694,771084,146576,653932,707695,961514,366626,957205,139799,913931,476619,489721,990662,487864,816219,197744,724167,141031,993663,275761,795048,233159,790250,239364,135523,479417,753854,763285,687524,224778,145456,167500,564015,217525,841204,996165,379874,967736,819602,710091,243618,836000,312127,574879,520756,342967,398027,882389,671306,158047,372977,902279,712807,553919,18929,180242,960761,207854,26170,974332,281830,811606,592067,716243,663050,199669,111765,786386,606722,749075,379551,382893,844972,280656,186103,216620,298999,92791,721653,505158,934712,722802,893099,247564,781574,220102,106313,437154,359819
)
测试SQL3执行情况与测试SQL2执行情况相近。
MySQL Execution Plan--IN查询计划(2)的更多相关文章
- MySQL Execution Plan--IN子查询包含超多值引发的查询异常
问题描述 版本:MySQL 5.7.24 SQL语句: SELECT wave_no, SUM(IF(picking_qty IS NULL, 0, picking_qty)) AS PICKED_Q ...
- MySQL Execution Plan--NOT IN查询
在某系统中想使用NOT IN子查询进行数据过滤,SQL为: SELECT * FROM TB001 AS T1 DAY) AND T1.BATCH_NO NOT IN(SELECT BATCH_NO ...
- Mysql优化之Explain查询计划查看
我们经常说到mysql优化,优化中一种常见的方式就是对于经常查询的字段创建索引.那么mysql中有哪些索引类型呢? 一.索引分类1.普通索引:即一个索引只包含单个列,一个表可以有多个单列索引 2.唯一 ...
- MySQL Execution Plan--IN子查询对UPDATE语句影响
问题描述 在系统中发现一条执行时间为为44652.060734秒(12.5小时)的慢SQL,SQL语句为: UPDATE ob_internal_task SET OPERATE_STATUS WHE ...
- MySQL Execution Plan--IN子查询包含超多值引发的查询异常1
======================================================================= SQL语句: SELECT wave_no, SUM(I ...
- Execution Plan 执行计划介绍
后面的练习中需要下载 Demo 数据库, 有很多不同的版本, 可以根据个人需要下载. 下载地址 -http://msftdbprodsamples.codeplex.com/ 1. 什么是执行计划 ...
- SQLServer查询计划
参考:http://blog.csdn.net/luoyanqing119/article/details/17022649 1. 开启方式 菜单栏:query---Display Estimated ...
- sql server 执行计划(execution plan)介绍
大纲:目的介绍sql server 中执行计划的大致使用,当遇到查询性能瓶颈时,可以发挥用处,而且带有比较详细的学习文档和计划,阅读者可以按照我计划进行,从而达到对执行计划一个比较系统的学习. 什么是 ...
- MySQL的查询计划中ken_len的值计算
本文首先介绍了MySQL的查询计划中ken_len的含义:然后介绍了key_len的计算方法:最后通过一个伪造的例子,来说明如何通过key_len来查看联合索引有多少列被使用. key_len的含义 ...
- MYSQL查询计划KEY_LEN
http://www.innomysql.com/article/25241.html 1 key_len的含义 2 MySQL中key_len计算规则 3 通过key_len分析联合索引 本文首先介 ...
随机推荐
- sublime汉化
1.打开sublime使用快捷键 shift+ctrl+p调出package control; 2.键入Package Control:install package 会弹出一个输入框,然后再搜索lo ...
- maven eclipse配置 创建项目
下载maven jar 可以去官网http://maven.apache.org/ 或者我的百度云http://download.csdn.net/detail/taopeng_100/9894787 ...
- 714-Card Trick
思维题,把n个卡片倒着放,然后每个卡片循环放到最底下i次,最后出来的结果就是要求的卡牌顺序 #include<stdio.h> #include<string.h> #incl ...
- Windows下使用CMD命令进入和退出MySQL数据库
一.进入 1.在CMD命令窗口敲入命令 mysql -hlocalhost -uroot -p 后按回车(注意这里的"-h"."-u"."-p&quo ...
- 雷林鹏分享:jQuery EasyUI 数据网格 - 创建属性网格
jQuery EasyUI 数据网格 - 创建属性网格 属性网格(property grid)带有一个内置的 expand(展开)/collapse(合并) 按钮,可以简单地为行分组.您可以简单地创建 ...
- Django+七牛上传+查看+下载文件相关函数,新整理未完全测试
M class File(models.Model): # 文档模型 name = models.CharField(max_length=255) staff = models.ForeignKey ...
- 异步核心接口IAsyncResult的实现
要实现异步编程,就需要正确的实现IAsyncResult接口.IAsyncResult共有四个属性: public interface IAsyncResult { object AsyncState ...
- QChart绘制折线区域
效果图: 代码: // 创建折线上点的序列 QLineSeries *splineSeries = new QLineSeries(); //QSplineSeries *splineSeries = ...
- vue教程自学笔记(一)
一.介绍 1.指令 指令带有前缀v-,以表示它们是Vue提供的特殊特性.eg:v-bind,v-if,v-for,v-on,v-model(实现表单输入和应用状态之间的双线绑定) v-bind跟v-o ...
- 禁用cookie后的方法
保存session id的方式可以采用cookie,这样在交互过程中浏览器可以自动的按照规则把这个标识发送给 服务器.一般这个cookie的名字都是类似于SEEESIONID.但cookie可以被人为 ...