在上一篇文章《MySQL 5.7中如何定位DDL被阻塞的问题》中,对于DDL被阻塞问题的定位,我们主要是基于MySQL 5.7新引入的performance_schema.metadata_locks表。提出的定位方法,颇有种”锦上添花”的意味,而且,也只适用于MySQL 5.7开始的版本。

但在实际生产中,MySQL 5.6还是占绝不多数。虽然MySQL 8.0都已经GA了,但鉴于数据库的特殊性,在对待升级的这个事情上,相当一部分人还是秉持着一种“不主动”的态度。

既然MySQL 5.6用者众多,有没有一种方法,来解决MySQL 5.6的这个痛点呢?

 

还是之前的测试Demo

会话1开启了事务并执行了三个操作,但未提交,此时,会话2执行了alter table操作,被阻塞。

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    |
+------+------+
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 |
+----+------+-----------+------+---------+------+---------------------------------+------------------------------------+
rows in set (0.00 sec)

 

其实,导致DDL阻塞的操作,无非两类: 

1. 慢查询  

2. 表上有事务未提交

其中,第一类比较好定位,通过show processlist即能发现。而第二类基本没法定位,因为未提交事务的连接在show processlist中的输出同空闲连接一样。

如下面Id为2的连接,虽然Command显示为“Sleep”,其实是事务未提交。

mysql> show processlist;
+----+------+-----------+------+---------+------+---------------------------------+------------------------------------+
| Id | User | Host      | db   | Command | Time | State                           | Info                               |
+----+------+-----------+------+---------+------+---------------------------------+------------------------------------+
|  2 | root | localhost | NULL | Sleep   |   77 |                                 | NULL                               |
|  3 | root | localhost | NULL | Query   |    0 | starting                        | show processlist                   |
|  4 | root | localhost | NULL | Query   |   44 | Waiting for table metadata lock | alter table slowtech.t1 add c1 int |
+----+------+-----------+------+---------+------+---------------------------------+------------------------------------+
3 rows in set (0.00 sec)

 

所以,网上有kill空闲(Command为Sleep)连接的说法,其实也不无道理,但这样做就太简单粗暴了,难免会误杀。

其实,既然是事务,在information_schema. innodb_trx中肯定会有记录,如会话1中的事务,在表中的记录如下,

mysql> select * from information_schema.innodb_trx\G
*************************** 1. row ***************************
                    trx_id: 1050390
                 trx_state: RUNNING
               trx_started: 2018-07-17 08:55:32
     trx_requested_lock_id: NULL
          trx_wait_started: NULL
                trx_weight: 4
       trx_mysql_thread_id: 2
                 trx_query: NULL
       trx_operation_state: NULL
         trx_tables_in_use: 0
         trx_tables_locked: 1
          trx_lock_structs: 2
     trx_lock_memory_bytes: 1136
           trx_rows_locked: 3
         trx_rows_modified: 2
   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
1 row in set (0.00 sec)

 

其中trx_mysql_thread_id是线程id,结合performance_schema.threads,可以知道当前哪些连接上存在着活跃事务,这样就进一步缩小了可被kill的线程范围。

 但从影响程度上,和kill所有Command为Sleep的连接没太大区别,毕竟,kill真正的空闲连接对业务的影响不大。

 此时,依然可以借助performance_schema. events_statements_history表。

 在上篇MySQL 5.7的分析中,我们是首先知道引发阻塞的线程ID,然后利用events_statements_history表,查看该线程的相关SQL。

 而在MySQL 5.6中,我们并不知道引发阻塞的线程ID,但是,我们可以反其道而行之,利用穷举法,首先统计出所有线程在当前事务执行过的所有SQL,然后再判断这些SQL中是否包含目标表。

 

具体SQL如下,

SELECT
    processlist_id,
    sql_text 
FROM
    (
    SELECT
        c.processlist_id,
        substring_index( sql_text, "transaction_begin;",-1 ) sql_text 
    FROM
        information_schema.innodb_trx a,
        (
        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 
        ) b,
        performance_schema.threads c 
    WHERE
        a.trx_mysql_thread_id = c.processlist_id 
        AND b.thread_id = c.thread_id 
    ) t 
WHERE
    sql_text LIKE '%t1%';

+----------------+---------------------------------------------------------------------------------------------------------+
| processlist_id | sql_text                                                                                                |
+----------------+---------------------------------------------------------------------------------------------------------+
|              2 | delete from slowtech.t1 where id=2;select * from slowtech.t1;update slowtech.t1 set name='c' where id=1 |
+----------------+---------------------------------------------------------------------------------------------------------+
1 row in set (0.01 sec)

从输出来看,确实也达到了预期效果。

 

需要注意的是,在MySQL5.6中,events_statements_history默认是没有开启的。

mysql> SELECT * FROM performance_schema.setup_consumers WHERE NAME LIKE '%statements%';
+--------------------------------+---------+
| NAME                           | ENABLED |
+--------------------------------+---------+
| events_statements_current      | YES     |
| events_statements_history      | NO      |
| events_statements_history_long | NO      |
| statements_digest              | YES     |
+--------------------------------+---------+
4 rows in set (0.00 sec)

 

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