Preface
 
    As we know,InnoDB is index organized table.InnoDB engine supports row-level lock base on indexes,if there're no indexes on a certain table the record locks will upgrade to "table-level"(not really table lock,just locks all the records in the table) locks.Furthe more,in RR transaction isolation mode,It's more complicated.'cause there're gap locks(together with record locks,we call them next key locks) to prevent phantom read between multiple tansactions.Let's do some test watch the locking conflicts.
 
Procedure
 
Crete a test table as below.
 zlm@192.168.56.100: [zlm]>create table t1(
-> c1 int unsigned not null default '',
-> c2 int unsigned not null default '',
-> c3 int unsigned not null default '',
-> c4 int unsigned not null default '',
-> primary key(c1),
-> key(c2)
-> ) engine=innodb;
Query OK, rows affected (0.02 sec) zlm@192.168.56.100: [zlm]>insert into t1(c1,c2,c3,c4) values(,,,),(,,,),(,,,),(,,,),(,,,),(,,,),(,,,);
Query OK, rows affected (0.01 sec)
Records: Duplicates: Warnings: zlm@192.168.56.100: [zlm]>select * from t1;
+----+----+----+----+
| c1 | c2 | c3 | c4 |
+----+----+----+----+
| | | | |
| | | | |
| | | | |
| | | | |
| | | | |
| | | | |
| | | | |
+----+----+----+----+
rows in set (0.01 sec) zlm@192.168.56.100: [(none)]>select @@transaction_isolation;
+-------------------------+
| @@transaction_isolation |
+-------------------------+
| REPEATABLE-READ | //Make surej in RR transaction isolation level.
+-------------------------+
row in set (0.00 sec) zlm@192.168.56.100: [(none)]>show variables like 'innodb_status_output_locks';
+----------------------------+-------+
| Variable_name | Value |
+----------------------------+-------+
| innodb_status_output_locks | ON |
+----------------------------+-------+
row in set (0.00 sec)
Test 1. session1 executes "select ...  for update" and session2 executes "select ... lock in share mode".(conflict)
 //Session1:
zlm@192.168.56.100: [zlm]>begin;select * from t1 where c1= for update;
Query OK, rows affected (0.00 sec) +----+----+----+----+
| c1 | c2 | c3 | c4 |
+----+----+----+----+
| | | | |
+----+----+----+----+
row in set (0.00 sec) //Session2:
monitor@192.168.56.100: [zlm]>begin;select * from t1 where c1= lock in share mode;
Query OK, rows affected (0.00 sec) ERROR (HY000): Lock wait timeout exceeded; try restarting transaction //Session2 requested a "S" record lock on the primary key column where c1=3 while session1 has holded the "X" record lock on the same position,so session2 was blocked util lock timeout.
Test 2. session1 executes "select ...  for update" and session2 executes ordinary query.(compatible)
 //Session1:
zlm@192.168.56.100: [zlm]>begin;select * from t1 where c1= for update;
Query OK, rows affected (0.00 sec) +----+----+----+----+
| c1 | c2 | c3 | c4 |
+----+----+----+----+
| | | | |
+----+----+----+----+
row in set (0.00 sec) //Session2:
monitor@192.168.56.100: [zlm]>select * from t1 where c1=;
+----+----+----+----+
| c1 | c2 | c3 | c4 |
+----+----+----+----+
| | | | |
+----+----+----+----+
row in set (0.00 sec) //Session1 didn't change this time and session2 request for non-lock consistent read.It read records from a consistent snapshop without locking.
Test 3. session1 executes "select ...  lock in share mode" and session2 executes "select ... for update".(conflict)
 //Session1:
zlm@192.168.56.100: [zlm]>begin;select * from t1 where c3= lock in share mode;
Query OK, rows affected (0.01 sec) Empty set (0.00 sec) //Session2:
monitor@192.168.56.100: [zlm]>begin;select * from t1 where c3= for update;
Query OK, rows affected (0.00 sec) ERROR (HY000): Lock wait timeout exceeded; try restarting transaction //Although there's no record satisfied with c3=7 but notice that there's no index on c3 column.Therefore,the session1 has holded a "S" record for all the records on column c1 in table t1.Then session2 asked for the "X" record lock for "c3=10"(even it does not exixt),it was blocked.
Test 4. session1 executes "select ...  lock in share mode" and session2 executes "select ... for update".(conflict)
 //Session1:
zlm@192.168.56.100: [zlm]>begin;select * from t1 where c3= lock in share mode;
Query OK, rows affected (0.00 sec) Empty set (0.00 sec) //Session2:
monitor@192.168.56.100: [zlm]>begin;select * from t1 where c1= for update;
Query OK, rows affected (0.00 sec) ERROR (HY000): Lock wait timeout exceeded; try restarting transaction //This is similar with "test 3".Session1 has holded a "S" record lock of all records on column c3.The record where c1=6 means c3=5,it's also in the range of all records.So session2 was blocked.
Test 5. session1 executes "select ...  for update" and session2 executes "select ... for update".(conflict)
 
 //Session1:
zlm@192.168.56.100: [zlm]>begin;select * from t1 where c2= and c3= for update;
Query OK, rows affected (0.00 sec) +----+----+----+----+
| c1 | c2 | c3 | c4 |
+----+----+----+----+
| | | | |
+----+----+----+----+
row in set (0.00 sec) //Session2:
monitor@192.168.56.100: [zlm]>begin;select * from t1 where c2= and c3= for update;
Query OK, rows affected (0.00 sec) ERROR (HY000): Lock wait timeout exceeded; try restarting transaction //Because of the secondary index key on column c2,it generated a "X" record lock and a gap lock(record + gap = next key lock).Although the gap lock between two sessions can be coexistent,but record locks do not.So session2 was blocked.
Test 6. session1 executes "select ...  for update" and session2 executes "select ... for update".(compatible)
 //Session1:
zlm@192.168.56.100: [zlm]>begin;select * from t1 where c2= and c3= for update;
Query OK, rows affected (0.00 sec) +----+----+----+----+
| c1 | c2 | c3 | c4 |
+----+----+----+----+
| | | | |
+----+----+----+----+
row in set (0.00 sec) //Session2:
monitor@192.168.56.100: [zlm]>begin;select * from t1 where c2= and c3= for update;
Query OK, rows affected (0.00 sec) Empty set (0.00 sec) //This time session2 was not blocked.They've requested a different "X" record lock individually even they still hold the gap lock.
Test 7. session1 executes "select ...  for update" and session2 executes "select ... for update".(conflict)
 //Session1:
zlm@192.168.56.100: [zlm]>begin;select * from t1 where c2= and c3= for update;
Query OK, rows affected (0.00 sec) +----+----+----+----+
| c1 | c2 | c3 | c4 |
+----+----+----+----+
| | | | |
+----+----+----+----+
row in set (0.00 sec) //Session2:
monitor@192.168.56.100: [zlm]>begin;select * from t1 where c1= and c3= for update;
Query OK, rows affected (0.00 sec) ERROR (HY000): Lock wait timeout exceeded; try restarting transaction //The query condition in session2 is c1=4.It means c2=2,this is similar with test 5(asked for the equal line).
Test 8. session1 executes "select ...  for update" and session2 executes "select ... for update".(compatible)
 //Session1:
zlm@192.168.56.100: [zlm]>begin;update t1 set c4= where c2>=;
Query OK, rows affected (0.00 sec) Query OK, rows affected (0.00 sec)
Rows matched: Changed: Warnings: //Session2:
monitor@192.168.56.100: [zlm]>begin;select * from t1 where c1= for update;
Query OK, rows affected (0.00 sec) Empty set (0.00 sec) //The records according to the query condition c2>=4 were c1=8 and c1=10.
//Even though there's a index key on c1 but it's a primary key which doesn't generate gap lock.So session2 's asking for "X" record lock of c1=7 was not blocked.
Summary
  • We should pay more attention to innodb row-level locks.If there's no key on the relevant column,the locks will be escalated to "table-level"(all records will be locked) locks.
  • In the RR transaction isolation level,Secondary index generates gap locks(LOCK_ORDINARY) to prevent phantom read while primary index and unique index do not.They only hold record locks(LOCK_REC_NOT_GAP).
  • In the RC transaction isolation level,there're no gap locks.Therefore,it's concurrency is better than that in RR mode,but the consistency is poor as well.
  • As for which transaction isolation level we should choose is depend on your purpose:for more consistency or for more concurrency.
 

InnoDB锁冲突案例演示的更多相关文章

  1. InnoDB锁冲突案例演示(续)

      Preface       I've demontstrated several InnoDB locking cases in my previous blog.I'm gonna do the ...

  2. MySQL记录锁、间隙锁、临键锁小案例演示

    生成间隙(gap)锁.临键(next-key)锁的前提条件 是在 RR 隔离级别下. 有关Mysql记录锁.间隙(gap)锁.临键锁(next-key)锁的一些理论知识之前有写过,详细内容可以看这篇文 ...

  3. KingbaseES R6 集群主机锁冲突导致的主备切换案例

    ​ 案例说明: 主库在业务高峰期间,客户执行建表等DDL操作,主库产生"AccessExclusiveLock "锁,导致大量的事务产生锁冲突,大量的会话堆积,客户端session ...

  4. InnoDB锁机制分析

    InnoDB锁机制常常困扰大家,不同的条件下往往表现出不同的锁竞争,在实际工作中经常要分析各种锁超时.死锁的问题.本文通过不同条件下的实验,利用InnoDB系统给出的各种信息,分析了锁的工作机制.通过 ...

  5. [转载] 数据库分析手记 —— InnoDB锁机制分析

    作者:倪煜 InnoDB锁机制常常困扰大家,不同的条件下往往表现出不同的锁竞争,在实际工作中经常要分析各种锁超时.死锁的问题.本文通过不同条件下的实验,利用InnoDB系统给出的各种信息,分析了锁的工 ...

  6. MySQL- InnoDB锁机制

    InnoDB与MyISAM的最大不同有两点:一是支持事务(TRANSACTION):二是采用了行级锁.行级锁与表级锁本来就有许多不同之处,另外,事务的引入也带来了一些新问题.下面我们先介绍一点背景知识 ...

  7. MySQL InnoDB锁机制

    概述: 锁机制在程序中是最常用的机制之一,当一个程序需要多线程并行访问同一资源时,为了避免一致性问题,通常采用锁机制来处理.在数据库的操作中也有相同的问题,当两个线程同时对一条数据进行操作,为了保证数 ...

  8. 【锁】Innodb锁

    InnoDB与MyISAM的最大不同有两点:一是支持事务(TRANSACTION):二是采用了行级锁.行级锁与表级锁本来就有许多不同之处,另外,事务的引入也带来了一些新问题.下面我们先介绍一点背景知识 ...

  9. MySQL基础篇(06):事务管理,锁机制案例详解

    本文源码:GitHub·点这里 || GitEE·点这里 一.锁概念简介 1.基础描述 锁机制核心功能是用来协调多个会话中多线程并发访问相同资源时,资源的占用问题.锁机制是一个非常大的模块,贯彻MyS ...

随机推荐

  1. 【[ZJOI2005]午餐】

    首先我们得贪心一下,让吃饭时间较长的人排在队首 去抄一段贪心的证明吧 现在研究在一个队伍里的人有什么性质 可以发现道题里也有一个不变量,就是对于队伍里的前\(i\)个人,不管他们排队的顺序如何,\(a ...

  2. 【转】Android开发:shape和selector和layer-list的(详细说明)

    <shape>和<selector>在Android UI设计中经常用到.比如我们要自定义一个圆角Button,点击Button有些效果的变化,就要用到<shape> ...

  3. css圆角和阴影兼容问题(ie7,ie8)

    <!DOCTYPE html> <html lang="en"> <head> <meta http-equiv="Conten ...

  4. 【题解】洛谷P1074 [NOIP2009TG] 靶形数独(DFS+剪枝)

    洛谷P1074:https://www.luogu.org/problemnew/show/P1074 思路 这道题一看就是DFS 打一个分数表方便后面算分 我用x y z数组分别表示行 列 宫 是否 ...

  5. Gradle Goodness: Changing Name of Default Build File

    Gradle uses the name build.gradle as the default name for a build file. If we write our build code i ...

  6. js的匿名函数与自定义函数

    //匿名方法,会执行,自己调用自己 (function () { console.log(window.innerHeight); })(); (function () { console.log(w ...

  7. react系列(零)安装

    安装 在最初的阶段,可以使用在线编辑的网站来学习React基本的语法. 从 Hello World 开始,可以在Codepen,或者codesandbox上进行编写. 当然,也可以使用npm或者yar ...

  8. lable随堂笔记

    lable标签与属性 lable标签:for属性,让标签与指定的input元素建立标签:将input元素包含在lable标签中. <table border="2" alig ...

  9. LeetCodee 105. Construct Binary Tree from Preorder and Inorder Traversal

    问题重述: 问题求解: 我们换一组比较有代表性的样例, 对于上图的树来说, index: 0 1 2 3 4 5 6 先序遍历为: 中序遍历为: 5同理,右子树也是如此.这样不难看出本题应该用递归方法 ...

  10. python 面向对象之添加功能

    '''**#实现功能**案列 姓名:王飞 年龄:30 性别:男 工龄:5我承诺,我会认真教课.王飞爱玩象棋 姓名:小明 年龄:15 性别:男 学号:00023102我承诺,我会 好好学习.小明爱玩足球 ...