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前言:

本篇文章主要介绍MySQL长事务相关内容,比如说我们开启的一个事务,一直没提交或回滚会怎样呢,出现事务等待情况应该如何处理,本篇文章将给你答案。

注意:本篇文章并不聚焦于谈论事务隔离级别以及相关特性。而是介绍长事务相关危害以及监控处理方法。本文是基于MySQL5.7.23版本,不可重复读(RR)隔离级别所做实验。(语句为G可以使查询结构显示更易读,但只可以在mysql命令行使用。)

1.什么是长事务

首先我们先要知道什么是长事务,顾名思义就是运行时间比较长,长时间未提交的事务,也可以称之为大事务。这类事务往往会造成大量的阻塞和锁超时,容易造成主从延迟,要尽量避免使用长事务。

下面我将演示下如何开启事务及模拟长事务:

? 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 #假设我们有一张stu_tb表,结构及数据如下 mysql> show create table stu_tbG *************************** 1. row ***************************     Table: stu_tb Create Table: CREATE TABLE `stu_tb` (  `increment_id` int(11) NOT NULL AUTO_INCREMENT COMMENT '自增主键',  `stu_id` int(11) NOT NULL COMMENT '学号',  `stu_name` varchar(20) DEFAULT NULL COMMENT '学生姓名',  `create_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',  `update_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '修改时间',  PRIMARY KEY (`increment_id`),  UNIQUE KEY `uk_stu_id` (`stu_id`) USING BTREE ) ENGINE=InnoDB AUTO_INCREMENT=9 DEFAULT CHARSET=utf8 COMMENT='测试学生表' 1 row in set (0.01 sec)   mysql> select * from stu_tb; +--------------+--------+----------+---------------------+---------------------+ | increment_id | stu_id | stu_name | create_time     | update_time     | +--------------+--------+----------+---------------------+---------------------+ |      1 |  1001 | from1  | 2019-09-15 14:27:34 | 2019-09-15 14:27:34 | |      2 |  1002 | dfsfd  | 2019-09-15 14:27:34 | 2019-09-15 14:27:34 | |      3 |  1003 | fdgfg  | 2019-09-15 14:27:34 | 2019-09-15 14:27:34 | |      4 |  1004 | sdfsdf  | 2019-09-15 14:27:34 | 2019-09-15 14:27:34 | |      5 |  1005 | dsfsdg  | 2019-09-15 14:27:34 | 2019-09-15 14:27:34 | |      6 |  1006 | fgd   | 2019-09-15 14:27:34 | 2019-09-15 14:27:34 | |      7 |  1007 | fgds   | 2019-09-15 14:27:34 | 2019-09-15 14:27:34 | |      8 |  1008 | dgfsa  | 2019-09-15 14:27:34 | 2019-09-15 14:27:34 | +--------------+--------+----------+---------------------+---------------------+ 8 rows in set (0.00 sec)   #显式开启事务,可用begin或start transaction mysql> start transaction; Query OK, 0 rows affected (0.00 sec)   mysql> select * from stu_tb where stu_id = 1006 for update; +--------------+--------+----------+---------------------+---------------------+ | increment_id | stu_id | stu_name | create_time     | update_time     | +--------------+--------+----------+---------------------+---------------------+ |      6 |  1006 | fgd   | 2019-09-15 14:27:34 | 2019-09-15 14:27:34 | +--------------+--------+----------+---------------------+---------------------+ 1 row in set (0.01 sec)    #如果我们不及时提交上个事务,那么这个事务就变成了长事务,当其他会话要操作这条数据时,就会一直等待。

2.如何找到长事务

遇到事务等待问题时,我们首先要做的是找到正在执行的事务。information_schema.INNODB_TRX 表中包含了当前innodb内部正在运行的事务信息,这个表中给出了事务的开始时间,我们可以稍加运算即可得到事务的运行时间。

? 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 mysql> select t.*,to_seconds(now())-to_seconds(t.trx_started) idle_time from INFORMATION_SCHEMA.INNODB_TRX t G *************************** 1. row ***************************           trx_id: 6168          trx_state: RUNNING         trx_started: 2019-09-16 11:08:27    trx_requested_lock_id: NULL      trx_wait_started: NULL         trx_weight: 3     trx_mysql_thread_id: 11          trx_query: NULL     trx_operation_state: NULL      trx_tables_in_use: 0      trx_tables_locked: 1      trx_lock_structs: 3    trx_lock_memory_bytes: 1136       trx_rows_locked: 2      trx_rows_modified: 0   trx_concurrency_tickets: 0     trx_isolation_level: REPEATABLE READ      trx_unique_checks: 1   trx_foreign_key_checks: 1 trx_last_foreign_key_error: NULL  trx_adaptive_hash_latched: 0  trx_adaptive_hash_timeout: 0      trx_is_read_only: 0 trx_autocommit_non_locking: 0          idle_time: 170

在结果中idle_time是计算产生的,也是事务的持续时间。但事务的trx_query是NUL,这并不是说事务什么也没执行,一个事务可能包含多个SQL,如果SQL执行完毕就不再显示了。当前事务正在执行,innodb也不知道这个事务后续还有没有sql,啥时候会commit。因此trx_query不能提供有意义的信息。

如果我们想看到这个事务执行过的SQL,看是否可以杀掉长事务,怎么办呢?我们可以联合其他系统表查询得到,具体查询SQL如下:

? 1 2 3 4 5 6 7 8 9 10 mysql> select now(),(UNIX_TIMESTAMP(now()) - UNIX_TIMESTAMP(a.trx_started)) diff_sec,b.id,b.user,b.host,b.db,d.SQL_TEXT from information_schema.innodb_trx a inner join   -> information_schema.PROCESSLIST b   -> on a.TRX_MYSQL_THREAD_ID=b.id and b.command = 'Sleep'   -> inner join performance_schema.threads c ON b.id = c.PROCESSLIST_ID   -> inner join performance_schema.events_statements_current d ON d.THREAD_ID = c.THREAD_ID; +---------------------+----------+----+------+-----------+--------+-----------------------------------------------------+ | now()        | diff_sec | id | user | host   | db   | SQL_TEXT                      | +---------------------+----------+----+------+-----------+--------+-----------------------------------------------------+ | 2019-09-16 14:06:26 |    54 | 17 | root | localhost | testdb | select * from stu_tb where stu_id = 1006 for update | +---------------------+----------+----+------+-----------+--------+-----------------------------------------------------+

上述结果中diff_sec和上面idle_time表示意思相同,都是代表此事务持续的秒数。SQL_TEXT表示该事务刚执行的SQL。但是呢,上述语句只能查到事务最后执行的SQL,我们知道,一个事务里可能包含多个SQL,那我们想查询这个未提交的事务执行过哪些SQL,是否可以满足呢,答案是结合events_statements_history系统表也可以满足需求。下面语句将会查询出该事务执行过的所有SQL:

? 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 mysql> SELECT   ->  ps.id 'PROCESS ID',   ->  ps.USER,   ->  ps.HOST,   ->  esh.EVENT_ID,   ->  trx.trx_started,   ->  esh.event_name 'EVENT NAME',   ->  esh.sql_text 'SQL',   ->  ps.time   -> FROM   ->  PERFORMANCE_SCHEMA.events_statements_history esh   ->  JOIN PERFORMANCE_SCHEMA.threads th ON esh.thread_id = th.thread_id   ->  JOIN information_schema.PROCESSLIST ps ON ps.id = th.processlist_id   ->  LEFT JOIN information_schema.innodb_trx trx ON trx.trx_mysql_thread_id = ps.id   -> WHERE   ->  trx.trx_id IS NOT NULL   ->  AND ps.USER != 'SYSTEM_USER'   -> ORDER BY   ->  esh.EVENT_ID; +------------+------+-----------+----------+---------------------+------------------------------+-----------------------------------------------------+------+ | PROCESS ID | USER | HOST   | EVENT_ID | trx_started     | EVENT NAME          | SQL                         | time | +------------+------+-----------+----------+---------------------+------------------------------+-----------------------------------------------------+------+ |     20 | root | localhost |    1 | 2019-09-16 14:18:44 | statement/sql/select     | select @@version_comment limit 1          |  60 | |     20 | root | localhost |    2 | 2019-09-16 14:18:44 | statement/sql/begin     | start transaction                  |  60 | |     20 | root | localhost |    3 | 2019-09-16 14:18:44 | statement/sql/select     | SELECT DATABASE()                  |  60 | |     20 | root | localhost |    4 | 2019-09-16 14:18:44 | statement/com/Init DB    | NULL                        |  60 | |     20 | root | localhost |    5 | 2019-09-16 14:18:44 | statement/sql/show_databases | show databases                   |  60 | |     20 | root | localhost |    6 | 2019-09-16 14:18:44 | statement/sql/show_tables  | show tables                     |  60 | |     20 | root | localhost |    7 | 2019-09-16 14:18:44 | statement/com/Field List   | NULL                        |  60 | |     20 | root | localhost |    8 | 2019-09-16 14:18:44 | statement/com/Field List   | NULL                        |  60 | |     20 | root | localhost |    9 | 2019-09-16 14:18:44 | statement/sql/select     | select * from stu_tb                |  60 | |     20 | root | localhost |    10 | 2019-09-16 14:18:44 | statement/sql/select     | select * from stu_tb where stu_id = 1006 for update |  60 | +------------+------+-----------+----------+---------------------+------------------------------+-----------------------------------------------------+------+

从上述结果中我们可以看到该事务从一开始到现在执行过的所有SQL,当我们把该事务相关信息都查询清楚后,我们就可以判定该事务是否可以杀掉,以免影响其他事务造成等待现象。

在这里稍微拓展下,长事务极易造成阻塞或者死锁现象,通常情况下我们可以首先查询 sys.innodb_lock_waits 视图确定有没有事务阻塞现象:

? 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 #假设一个事务执行 select * from stu_tb where stu_id = 1006 for update #另外一个事务执行 update stu_tb set stu_name = 'wang' where stu_id = 1006   mysql> select * from sys.innodb_lock_waitsG *************************** 1. row ***************************         wait_started: 2019-09-16 14:34:32           wait_age: 00:00:03         wait_age_secs: 3         locked_table: `testdb`.`stu_tb`         locked_index: uk_stu_id          locked_type: RECORD        waiting_trx_id: 6178      waiting_trx_started: 2019-09-16 14:34:32        waiting_trx_age: 00:00:03    waiting_trx_rows_locked: 1   waiting_trx_rows_modified: 0          waiting_pid: 19         waiting_query: update stu_tb set stu_name = 'wang' where stu_id = 1006        waiting_lock_id: 6178:47:4:7       waiting_lock_mode: X        blocking_trx_id: 6177         blocking_pid: 20        blocking_query: NULL       blocking_lock_id: 6177:47:4:7      blocking_lock_mode: X     blocking_trx_started: 2019-09-16 14:18:44       blocking_trx_age: 00:15:51   blocking_trx_rows_locked: 2  blocking_trx_rows_modified: 0    sql_kill_blocking_query: KILL QUERY 20 sql_kill_blocking_connection: KILL 20

上述结果显示出被阻塞的SQL以及锁的类型,更强大的是杀掉会话的语句也给出来了。但是并没有找到阻塞会话执行的SQL,如果我们想找出更详细的信息,可以使用下面语句:

? 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 mysql> SELECT   ->  tmp.*,   ->  c.SQL_Text blocking_sql_text,   ->  p.HOST blocking_host   -> FROM   ->  (   ->  SELECT   ->   r.trx_state wating_trx_state,   ->   r.trx_id waiting_trx_id,   ->   r.trx_mysql_thread_Id waiting_thread,   ->   r.trx_query waiting_query,   ->   b.trx_state blocking_trx_state,   ->   b.trx_id blocking_trx_id,   ->   b.trx_mysql_thread_id blocking_thread,   ->   b.trx_query blocking_query   ->  FROM   ->   information_schema.innodb_lock_waits w   ->   INNER JOIN information_schema.innodb_trx b ON b.trx_id = w.blocking_trx_id   ->   INNER JOIN information_schema.innodb_trx r ON r.trx_id = w.requesting_trx_id   ->  ) tmp,   ->  information_schema.PROCESSLIST p,   ->  PERFORMANCE_SCHEMA.events_statements_current c,   ->  PERFORMANCE_SCHEMA.threads t   -> WHERE   ->  tmp.blocking_thread = p.id   ->  AND t.thread_id = c.THREAD_ID   ->  AND t.PROCESSLIST_ID = p.id G *************************** 1. row ***************************  wating_trx_state: LOCK WAIT   waiting_trx_id: 6180   waiting_thread: 19    waiting_query: update stu_tb set stu_name = 'wang' where stu_id = 1006 blocking_trx_state: RUNNING   blocking_trx_id: 6177   blocking_thread: 20   blocking_query: NULL  blocking_sql_text: select * from stu_tb where stu_id = 1006 for update    blocking_host: localhost

上面结果显得更加清晰,我们可以清楚的看到阻塞端及被阻塞端事务执行的语句,有助于我们排查并确认是否可以杀掉阻塞的会话。

3.监控长事务

现实工作中我们需要监控下长事务,定义一个阈值,比如说30s 执行时间超过30s的事务即为长事务,要求记录并告警出来,提醒管理人员去处理。下面给出监控脚本,各位可以参考下,根据需求改动使用:

? 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 #!/bin/bash # ------------------------------------------------------------------------------- # FileName:  long_trx.sh # Describe:  monitor long transaction # Revision:  1.0 # Date:    2019/09/16 # Author:   wang   /usr/local/mysql/bin/mysql -N -uroot -pxxxxxx -e "select now(),(UNIX_TIMESTAMP(now()) - UNIX_TIMESTAMP(a.trx_started)) diff_sec,b.id,b.user,b.host,b.db,d.SQL_TEXT from information_schema.innodb_trx a inner join information_schema.PROCESSLIST b on a.TRX_MYSQL_THREAD_ID=b.id and b.command = 'Sleep' inner join performance_schema.threads c ON b.id = c.PROCESSLIST_ID inner join performance_schema.events_statements_current d ON d.THREAD_ID = c.THREAD_ID;" | while read A B C D E F G H do  if [ "$C" -gt 30 ]    then    echo $(date +"%Y-%m-%d %H:%M:%S")    echo "processid[$D] $E@$F in db[$G] hold transaction time $C SQL:$H"  fi done >> /tmp/longtransaction.txt

简单说明一下,这里的-gt 30是30秒钟的意思,只要超过了30秒钟就认定是长事务,可以根据实际需要自定义。将该脚本加入定时任务中即可执行。

总结:

本文主要介绍了长事务相关内容,怎样找到长事务,怎么处理长事务,如何监控长事务。可能有些小伙伴对事务理解还不多,希望这篇文章对你有所帮助。由于本篇文章列出的查询事务相关语句较多,现总结如下:

? 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 # 查询所有正在运行的事务及运行时间 select t.*,to_seconds(now())-to_seconds(t.trx_started) idle_time from INFORMATION_SCHEMA.INNODB_TRX t G   # 查询事务详细信息及执行的SQL select now(),(UNIX_TIMESTAMP(now()) - UNIX_TIMESTAMP(a.trx_started)) diff_sec,b.id,b.user,b.host,b.db,d.SQL_TEXT from information_schema.innodb_trx a inner join information_schema.PROCESSLIST b on a.TRX_MYSQL_THREAD_ID=b.id and b.command = 'Sleep' inner join performance_schema.threads c ON b.id = c.PROCESSLIST_ID inner join performance_schema.events_statements_current d ON d.THREAD_ID = c.THREAD_ID;   # 查询事务执行过的所有历史SQL记录 SELECT  ps.id 'PROCESS ID',  ps.USER,  ps.HOST,  esh.EVENT_ID,  trx.trx_started,  esh.event_name 'EVENT NAME',  esh.sql_text 'SQL',  ps.time FROM  PERFORMANCE_SCHEMA.events_statements_history esh  JOIN PERFORMANCE_SCHEMA.threads th ON esh.thread_id = th.thread_id  JOIN information_schema.PROCESSLIST ps ON ps.id = th.processlist_id  LEFT JOIN information_schema.innodb_trx trx ON trx.trx_mysql_thread_id = ps.id WHERE  trx.trx_id IS NOT NULL  AND ps.USER != 'SYSTEM_USER' ORDER BY  esh.EVENT_ID;    # 简单查询事务锁  select * from sys.innodb_lock_waitsG    # 查询事务锁详细信息  SELECT  tmp.*,  c.SQL_Text blocking_sql_text,  p.HOST blocking_host FROM  (  SELECT   r.trx_state wating_trx_state,   r.trx_id waiting_trx_id,   r.trx_mysql_thread_Id waiting_thread,   r.trx_query waiting_query,   b.trx_state blocking_trx_state,   b.trx_id blocking_trx_id,   b.trx_mysql_thread_id blocking_thread,   b.trx_query blocking_query  FROM   information_schema.innodb_lock_waits w   INNER JOIN information_schema.innodb_trx b ON b.trx_id = w.blocking_trx_id   INNER JOIN information_schema.innodb_trx r ON r.trx_id = w.requesting_trx_id  ) tmp,  information_schema.PROCESSLIST p,  PERFORMANCE_SCHEMA.events_statements_current c,  PERFORMANCE_SCHEMA.threads t WHERE  tmp.blocking_thread = p.id  AND t.thread_id = c.THREAD_ID  AND t.PROCESSLIST_ID = p.id G

以上就是深入了解mysql长事务的详细内容,更多关于mysql长事务的资料请关注其它相关文章!

原文链接:https://cloud.tencent.com/developer/article/1511089