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前言:
『入门 MySQL』系列文章已经完结,今后我的文章还是会以 MySQL 为主,主要记录下近期工作及学习遇到的场景或者自己的感悟想法,可能后续的文章不是那么连贯,但还是希望大家多多支持。言归正传,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。
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:
# 假设我们有一张 stu_tb 表,结构及数据如下
mysql> show create table stu_tb\G
*************************** 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。
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:
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:
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:
# 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_waits\G
*************************** 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:
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:
#!/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:
# 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_waits\G
# 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