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【MySQL】MySQL gap lock产生时机

发布时间:2020-08-13 18:00:09 来源:ITPUB博客 阅读:172 作者:风尘_NULL 栏目:MySQL数据库
1)提出问题:我们通常说在Repeate read下面,会有next-key lock(LOCK_ORDINARY)对应值0,而READ COMMITTED隔离级别下只会有记录锁LOCK_REC_NOT_GAP(对应值1024),那么什么时候会有gap lock(LOCK_GAP)对应值512?


2)官方的一个死锁例子(之所以会选这个例子,是因为这个例子非常典型,为了更好的效果,我将隔离级别设置为READ COMMITTED):

    创建表并插入数据
    CREATE TABLE `locktest6` (   `id` int(11) NOT NULL,   `a` int(11) NOT NULL,   `b` varchar(30) NOT NULL DEFAULT 'xddd',   PRIMARY KEY (`id`),   UNIQUE KEY `a` (`a`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;

    INSERT INTO `locktest6` VALUES (3,2,'xddd'),(9,20,'ddd'),(12,13,'ddd'),(19,7,'cccc'),(20,5,'abcd'),(21,4,'fff');

    开启三个会话,会话的顺序是(1->2->3)
    session 1:
    【MySQL】MySQL gap lock产生时机



    session 2:
    【MySQL】MySQL gap lock产生时机

    session 3
    【MySQL】MySQL gap lock产生时机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">

    实验现象,这里session2、session3会阻塞(这里读者可以自己实验)

    现象分析:
    我们来看阻塞时的锁获取与等待情况
                            【MySQL】MySQL gap 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这里唯一键a=17的二级索引加了LOCK_X|LOCK_REC_NOT_GAP|LOCK_REC锁,其次这条记录上面还有两把锁(LOCK_S|LOCK_ORDINARY|LOCK_WAITTING)在等待,分别是session2与session3的

这里的原因是:
session 1的insert 本来不加锁(是隐式锁,隐式锁是一种延迟加锁的策略);

当session插入a=17的记录时,发现与session1重复,这时session2会给session1加锁,锁为LOCK_X|LOCK_REC_NOT_GAP|LOCK_REC,同时把自己置为等待状态LOCK_S|LOCK_ORDINARY|LOCK_WAITTING,注意,这里为什么自己(session2)等待的时候是LOCK_S而不是LOCK_X呢,其实是为了提高并发;

session 3处于等待是因为session1 a=17的记录已经被session2加上了LOCK_X|LOCK_REC_NOT_GAP|LOCK_REC锁,而session3的a=17与session1的a=17重复,为了检测唯一性,也会将自己置为等待状态,锁为LOCK_S|LOCK_ORDINARY|LOCK_WAITTING


回滚session1,session3会成为死锁牺牲品,session2插入成功

session2
【MySQL】MySQL gap lock产生时机
session3

【MySQL】MySQL gap lock产生时机


这是的死锁情况以及加锁情况
【MySQL】MySQL gap 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这里我们发现了gap锁的踪迹,我们稍后分析
死锁牺牲session3之后,这时的session2的加锁情况
【MySQL】MySQL gap lock产生时机
这里锁信息连到了一起,哈哈,如何解释呢,我们稍后分晓


先分析上面的死锁:
session 1 rollback后,二级索引记录为(33,17)的记录的被删除,上面的session2,session3上的LOCK_S|LOCK_ORDINARY|LOCK_WAITTING将他的gap锁分别迁移到下一条记录,即二级索引(20,9)的记录上由两把锁,分别为session2与session占有,锁为LOCK_S|LOCK_GAP|LOCK_REC,即死锁图中的lock mode s lock gap before rec;与此同时,session 2与session3在插入的时候,还要检测下一条记录上(即(20,9)的记录上)的锁是否与LOCK_X|LOCK_GAP|LOCK_INTENSION冲突,这样就形成了session2的LOCK_X|LOCK_GAP|LOCK_INTENSION在等待session3 的LOCK_S|LOCK_GAP|LOCK_REC释放,而session3的LOCK_X|LOCK_GAP|LOCK_INTENSION则在等待session2的LOCK_S|LOCK_GAP|LOCK_REC释放,这样就形成了死锁,这里事务选择回滚了session3

再分析session2的加锁情况:
session3回滚后 ,session2获得了LOCK_X|LOCK_GAP|LOCK_INTENSION锁与LOCK_S|LOCK_GAP|LOCK_REC,这个锁加在记录(20,9)上;heap no 8的记录即session2插入的记录也获得了LOCK_S|LOCK_GAP|LOCK_REC锁,这是因为插入时,会进行锁分裂,将heap no 8下一条记录的(20,9)的锁LOCK_S|LOCK_GAP|LOCK_REC迁移到了heap no 8的记录上;为啥上面的锁信息会连在一起呢,即既有LOCK_S|LOCK_ORDINARY|LOCK_REC又有LOCK_S|LOCK_GAP|LOCK_REC呢,答案是:这里的LOCK_S|LOCK_ORDINARY|LOCK_REC只是表示下面行LOCK_S|LOCK_GAP|LOCK_REC有LOCK_S|LOCK_ORDINARY|LOCK_REC继承而来,并不表示记录上还加了LOCK_S|LOCK_ORDINARY|LOCK_REC锁


3)总结
    gap锁一般很少见到,当唯一索引检测重复的值的时候,往往会产生gap锁;另外当可重复读隔离级别下,做等值查询时,也会碰到gap锁(这个读者可以自己去实验),时间仓促,没有整理。


向AI问一下细节

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