解决MySQL 5.7中定位DDL被阻塞的问题-巨人网络通讯

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解决MySQL 5.7中定位DDL被阻塞的问题

在上篇文章《MySQL表结构变更，不可不知的Metadata Lock》中，我们介绍了MDL引入的背景，及基本概念，从“道”的层面知道了什么是MDL。下面就从“术”的层面看看如何定位MDL的相关问题。

在MySQL 5.7中，针对MDL，引入了一张新表performance_schema.metadata_locks，该表可对外展示MDL的相关信息，包括其作用对象，类型及持有等待情况。

开启MDL的instrument

但是相关instrument并没有开启（MySQL 8.0是默认开启的），其可通过如下两种方式开启，

临时生效

修改performance_schema.setup_instrume nts表，但实例重启后，又会恢复为默认值。

UPDATE performance_schema.setup_instruments SET ENABLED = 'YES', TIMED = 'YES'
WHERE NAME = 'wait/lock/metadata/sql/mdl';

永久生效

在配置文件中设置

[mysqld]
performance-schema-instrument='wait/lock/metadata/sql/mdl=ON'

测试场景

下面结合一个简单的Demo，来看看在MySQL 5.7中如何定位DDL操作的阻塞问题。

session1> begin;
Query OK, 0 rows affected (0.00 sec)
session1> delete from slowtech.t1 where id=2;
Query OK, 1 row affected (0.00 sec)
session1> select * from slowtech.t1;
+------+------+
| id | name |
+------+------+
| 1 | a |
+------+------+
1 row in set (0.00 sec)
session1> update slowtech.t1 set name='c' where id=1;
Query OK, 1 row affected (0.00 sec)
Rows matched: 1 Changed: 1 Warnings: 0
session2> alter table slowtech.t1 add c1 int; ##被阻塞
session3> show processlist;
+----+------+-----------+------+---------+------+---------------------------------+------------------------------------+
| Id | User | Host  | db | Command | Time | State       | Info        |
+----+------+-----------+------+---------+------+---------------------------------+------------------------------------+
| 2 | root | localhost | NULL | Sleep | 51 |         | NULL        |
| 3 | root | localhost | NULL | Query | 0 | starting      | show processlist     |
| 4 | root | localhost | NULL | Query | 9 | Waiting for table metadata lock | alter table slowtech.t1 add c1 int |
+----+------+-----------+------+---------+------+---------------------------------+------------------------------------+
3 rows in set (0.00 sec)
session3> select object_type,object_schema,object_name,lock_type,lock_duration,lock_status,owner_thread_id from performance_schema.metadata_locks;
+-------------+--------------------+----------------+---------------------+---------------+-------------+-----------------+
| object_type | object_schema  | object_name | lock_type   | lock_duration | lock_status | owner_thread_id |
+-------------+--------------------+----------------+---------------------+---------------+-------------+-----------------+
| TABLE  | slowtech   | t1    | SHARED_WRITE  | TRANSACTION | GRANTED  |    27 |
| GLOBAL  | NULL    | NULL   | INTENTION_EXCLUSIVE | STATEMENT  | GRANTED  |    29 |
| SCHEMA  | slowtech   | NULL   | INTENTION_EXCLUSIVE | TRANSACTION | GRANTED  |    29 |
| TABLE  | slowtech   | t1    | SHARED_UPGRADABLE | TRANSACTION | GRANTED  |    29 |
| TABLE  | slowtech   | t1    | EXCLUSIVE   | TRANSACTION | PENDING  |    29 |
| TABLE  | performance_schema | metadata_locks | SHARED_READ   | TRANSACTION | GRANTED  |    28 |
+-------------+--------------------+----------------+---------------------+---------------+-------------+-----------------+
6 rows in set (0.00 sec)

这里，重点关注lock_status，"PENDING"代表线程在等待MDL，而"GRANTED"则代表线程持有MDL。

如何找出引起阻塞的会话

结合owner_thread_id，可以可到，是29号线程在等待27号线程的MDL，此时，可kill掉52号线程。

但需要注意的是，owner_thread_id给出的只是线程ID，并不是show processlist中的ID。如果要查找线程对应的processlist id，需查询performance_schema.threads表。

session3> select * from performance_schema.threads where thread_id in (27,29)\G
*************************** 1. row ***************************
   THREAD_ID: 27
    NAME: thread/sql/one_connection
    TYPE: FOREGROUND
  PROCESSLIST_ID: 2
 PROCESSLIST_USER: root
 PROCESSLIST_HOST: localhost
  PROCESSLIST_DB: NULL
PROCESSLIST_COMMAND: Sleep
 PROCESSLIST_TIME: 214
 PROCESSLIST_STATE: NULL
 PROCESSLIST_INFO: NULL
 PARENT_THREAD_ID: 1
    ROLE: NULL
  INSTRUMENTED: YES
   HISTORY: YES
 CONNECTION_TYPE: Socket
  THREAD_OS_ID: 9800
*************************** 2. row ***************************
   THREAD_ID: 29
    NAME: thread/sql/one_connection
    TYPE: FOREGROUND
  PROCESSLIST_ID: 4
 PROCESSLIST_USER: root
 PROCESSLIST_HOST: localhost
  PROCESSLIST_DB: NULL
PROCESSLIST_COMMAND: Query
 PROCESSLIST_TIME: 172
 PROCESSLIST_STATE: Waiting for table metadata lock
 PROCESSLIST_INFO: alter table slowtech.t1 add c1 int
 PARENT_THREAD_ID: 1
    ROLE: NULL
  INSTRUMENTED: YES
   HISTORY: YES
 CONNECTION_TYPE: Socket
  THREAD_OS_ID: 9907
2 rows in set (0.00 sec)

将这两张表结合，借鉴sys.innodb_lock _waits的输出，实际上我们也可以直观地呈现MDL的等待关系。

SELECT
 a.OBJECT_SCHEMA AS locked_schema,
 a.OBJECT_NAME AS locked_table,
 "Metadata Lock" AS locked_type,
 c.PROCESSLIST_ID AS waiting_processlist_id,
 c.PROCESSLIST_TIME AS waiting_age,
 c.PROCESSLIST_INFO AS waiting_query,
 c.PROCESSLIST_STATE AS waiting_state,
 d.PROCESSLIST_ID AS blocking_processlist_id,
 d.PROCESSLIST_TIME AS blocking_age,
 d.PROCESSLIST_INFO AS blocking_query,
 concat('KILL ', d.PROCESSLIST_ID) AS sql_kill_blocking_connection
FROM
 performance_schema.metadata_locks a
JOIN performance_schema.metadata_locks b ON a.OBJECT_SCHEMA = b.OBJECT_SCHEMA
AND a.OBJECT_NAME = b.OBJECT_NAME
AND a.lock_status = 'PENDING'
AND b.lock_status = 'GRANTED'
AND a.OWNER_THREAD_ID > b.OWNER_THREAD_ID
AND a.lock_type = 'EXCLUSIVE'
JOIN performance_schema.threads c ON a.OWNER_THREAD_ID = c.THREAD_ID
JOIN performance_schema.threads d ON b.OWNER_THREAD_ID = d.THREAD_ID\G

*************************** 1. row ***************************
    locked_schema: slowtech
    locked_table: t1
     locked_type: Metadata Lock
  waiting_processlist_id: 4
     waiting_age: 259
    waiting_query: alter table slowtech.t1 add c1 int
    waiting_state: Waiting for table metadata lock
  blocking_processlist_id: 2
    blocking_age: 301
    blocking_query: NULL
sql_kill_blocking_connection: KILL 2
1 row in set (0.00 sec)

输出一目了然，DDL操作如果要获得MDL，执行kill 2即可。

官方的sys.schematablelock_waits

实际上，MySQL 5.7在sys库中也集成了类似功能，同样的场景，其输出如下，

mysql> select * from sys.schema_table_lock_waits\G
*************************** 1. row ***************************
    object_schema: slowtech
     object_name: t1
   waiting_thread_id: 29
     waiting_pid: 4
    waiting_account: root@localhost
   waiting_lock_type: EXCLUSIVE
  waiting_lock_duration: TRANSACTION
    waiting_query: alter table slowtech.t1 add c1 int
   waiting_query_secs: 446
 waiting_query_rows_affected: 0
 waiting_query_rows_examined: 0
   blocking_thread_id: 27
    blocking_pid: 2
   blocking_account: root@localhost
   blocking_lock_type: SHARED_READ
  blocking_lock_duration: TRANSACTION
  sql_kill_blocking_query: KILL QUERY 2
sql_kill_blocking_connection: KILL 2
*************************** 2. row ***************************
    object_schema: slowtech
     object_name: t1
   waiting_thread_id: 29
     waiting_pid: 4
    waiting_account: root@localhost
   waiting_lock_type: EXCLUSIVE
  waiting_lock_duration: TRANSACTION
    waiting_query: alter table slowtech.t1 add c1 int
   waiting_query_secs: 446
 waiting_query_rows_affected: 0
 waiting_query_rows_examined: 0
   blocking_thread_id: 29
    blocking_pid: 4
   blocking_account: root@localhost
   blocking_lock_type: SHARED_UPGRADABLE
  blocking_lock_duration: TRANSACTION
  sql_kill_blocking_query: KILL QUERY 4
sql_kill_blocking_connection: KILL 4
2 rows in set (0.00 sec)

具体分析下官方的输出，

只有一个alter table操作，却产生了两条记录，而且两条记录的kill对象竟然还不一样，对表结构不熟悉及不仔细看记录内容的话，难免会kill错对象。

不仅如此，如果有N个查询被DDL操作堵塞，则会产生N*2条记录。在阻塞操作较多的情况下，这N*2条记录完全是个噪音。

而之前的SQL，无论有多少操作被阻塞，一个alter table操作，就只会输出一条记录。

如何查看阻塞会话已经执行过的操作

但上面这个SQL也有遗憾，其blocking_query为NULL，而在会话1中，其明明已经执行了三个SQL。

这个与performance_schema.threads（类似于show processlist）有关，其只会输出当前正在运行的SQL，对于已经执行过的，实际上是没办法看到。

但在线上，kill是一个需要谨慎的操作，毕竟你很难知道kill的是不是业务关键操作？又或者，是个批量update操作？那么，有没有办法抓到该事务之前的操作呢？

答案，有。

即Performance Schema中记录Statement Event（操作事件）的表，具体包括

events_statements_current,events_statements_history,events_statements_history_long,prepared_statements_instances。

常用的是前面三个。

三者的表结构完全一致，其中，events_statements_history又包含了events_statements_current的操作，所以我们这里会使用events_statements_history。

终极SQL如下，

SELECT
 locked_schema,
 locked_table,
 locked_type,
 waiting_processlist_id,
 waiting_age,
 waiting_query,
 waiting_state,
 blocking_processlist_id,
 blocking_age,
 substring_index(sql_text,"transaction_begin;" ,-1) AS blocking_query,
 sql_kill_blocking_connection
FROM
 (
  SELECT
   b.OWNER_THREAD_ID AS granted_thread_id,
   a.OBJECT_SCHEMA AS locked_schema,
   a.OBJECT_NAME AS locked_table,
   "Metadata Lock" AS locked_type,
   c.PROCESSLIST_ID AS waiting_processlist_id,
   c.PROCESSLIST_TIME AS waiting_age,
   c.PROCESSLIST_INFO AS waiting_query,
   c.PROCESSLIST_STATE AS waiting_state,
   d.PROCESSLIST_ID AS blocking_processlist_id,
   d.PROCESSLIST_TIME AS blocking_age,
   d.PROCESSLIST_INFO AS blocking_query,
   concat('KILL ', d.PROCESSLIST_ID) AS sql_kill_blocking_connection
  FROM
   performance_schema.metadata_locks a
  JOIN performance_schema.metadata_locks b ON a.OBJECT_SCHEMA = b.OBJECT_SCHEMA
  AND a.OBJECT_NAME = b.OBJECT_NAME
  AND a.lock_status = 'PENDING'
  AND b.lock_status = 'GRANTED'
  AND a.OWNER_THREAD_ID > b.OWNER_THREAD_ID
  AND a.lock_type = 'EXCLUSIVE'
  JOIN performance_schema.threads c ON a.OWNER_THREAD_ID = c.THREAD_ID
  JOIN performance_schema.threads d ON b.OWNER_THREAD_ID = d.THREAD_ID
 ) t1,
 (
  SELECT
   thread_id,
   group_concat( CASE WHEN EVENT_NAME = 'statement/sql/begin' THEN "transaction_begin" ELSE sql_text END ORDER BY event_id SEPARATOR ";" ) AS sql_text
  FROM
   performance_schema.events_statements_history
  GROUP BY thread_id
 ) t2
WHERE
 t1.granted_thread_id = t2.thread_id \G
*************************** 1. row ***************************
    locked_schema: slowtech
    locked_table: t1
     locked_type: Metadata Lock
  waiting_processlist_id: 4
     waiting_age: 294
    waiting_query: alter table slowtech.t1 add c1 int
    waiting_state: Waiting for table metadata lock
  blocking_processlist_id: 2
    blocking_age: 336
    blocking_query: delete from slowtech.t1 where id=2;select * from slowtech.t1;update slowtech.t1 set name='c' where id=1
sql_kill_blocking_connection: KILL 2
1 row in set, 1 warning (0.00 sec)

从上面的输出可以看到，blocking_query中包含了会话1中当前事务的所有操作，按执行的先后顺序输出。

需要注意的是，默认情况下，events_statements_history只会保留每个线程最近的10个操作，如果事务中进行的操作较多，实际上也是没办法抓全的。

总结

以上所述是小编给大家介绍的解决MySQL 5.7中如何定位DDL被阻塞的问题，希望对大家有所帮助，如果大家有任何疑问请给我留言，小编会及时回复大家的。在此也非常感谢大家对脚本之家网站的支持！

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