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  • information_schema系列八(事物,锁)

    今天我们主要看一下MySQL information_schema里面的关于innodb的锁和事物的两三个系统表:
    看一下锁对应的sql:
    select * from innodb_lock_waits;
    select * from innodb_locks limit 2G
    select * from information_schema.innodb_trxG
    select * from information_schema.innodb_trx where trx_id = 45734628G
    SELECT
    lw.requesting_trx_id AS request_ID,
     trx.trx_mysql_thread_id as request_mysql_ID,
    trx.trx_query AS request_command,
    lw.blocking_trx_id AS blocking_ID,
     trx1.trx_mysql_thread_id as blocking_mysql_ID,
    trx1.trx_query AS blocking_command,
    lo.lock_index AS lock_index
    FROM
    information_schema.innodb_lock_waits lw
    INNER JOIN information_schema.innodb_locks lo ON lw.requesting_trx_id = lo.lock_trx_id
    INNER JOIN information_schema.innodb_locks lo1 ON lw.blocking_trx_id = lo1.lock_trx_id
    INNER JOIN information_schema.innodb_trx trx ON lo.lock_trx_id = trx.trx_id
    INNER JOIN information_schema.innodb_trx trx1 ON lo1.lock_trx_id = trx1.trx_id;

    1: INNODB_LOCKS

    2: INNODB_TRX

    3: INNODB_LOCK_WAITS
    三张表就一起实验好了,都是关于锁和事物的阻塞的。我们现在开两个终端。
    第一个终端开启一个事物,进行更新:
    root@localhost [(none)]>start transaction;
    Query OK, 0 rows affected (0.00 sec)
    root@localhost [(none)]>update qiandai.t1 set col_int_key=333 where pk=10;
    Query OK, 1 row affected (0.00 sec)
    Rows matched: 1 Changed: 1 Warnings: 0

    第二个终端直接也更新同一行数据:

    update qiandai.t1 set col_int_key=222 where pk=10;

    然后去查看三个表联合查询:

     
    可以看得到,第二个更新是被阻塞的,因为第一个更新获取到了排它锁,所以第二个更新一致处于等待状态,直到锁等待时间超时:
    SHOW VARIABLES LIKE '%LOCK_WAIT%';
    上面可以查看到锁等待的超时时间,INNODB默认五十秒。
    看一下三个表官方给的解释:
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  • 原文地址:https://www.cnblogs.com/shengdimaya/p/5887297.html
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