技术分享 | MySQL 一次奇怪的故障分析

刺骨的言语ヽ痛彻心扉 2023-05-29 06:18 15阅读 0赞

> **本文转载自“爱可生开源社区“公众号；作者：八怪（** **高鹏）**
> 
> 文章末尾有他著作的《深入理解 MySQL 主从原理 32 讲》，深入透彻理解 MySQL 主从，GTID 相关技术知识。
> 
> 源码版本： 5.7.22 水平有限，如有误请谅解

**想阅读八怪源码文章欢迎订阅**

![640?wx\_fmt=png][640_wx_fmt_png]

--------------------

**一、问题来源**

这是一个朋友问我的典型案例。 整个故障现象表现为，MySQL 数据库频繁的出现大量的请求不能响应。下面是一些他提供的证据 ：

1. show processlist

从状态信息来看出现如下情况：

*  insert 操作：状态为 update 
 *  update/delete 操作：状态为 updating
 *  select 操作：状态为 sending data

因此可以推断应该是语句执行期间出现了问题，由于篇幅原因只给出一部分，并且我将语句部分也做了相应截断：

show processlist----------------------------	
    ......	
    11827639    root    dbmis   Execute 9   updating    UPDATE	
    17224594    root    dbmis   Execute 8   Sending data    SELECT sum(exchange_coin) as exchange_coin FROM	
    17224595    root    dbmis   Execute 8   update  INSERT INTO	
    17224596    root    dg  Execute 8   update  INSERT INTO	
    17224597    root    dbmis   Execute 8   update  INSERT INTO	
    17224598    root    dbmis   Execute 7   update  INSERT INTO	
    17224599    root    dbmis   Execute 7   Sending data    SELECT COUNT(*) AS tp_count FROM	
    17224600    root    dg  Execute 7   update  INSERT INTO	
    17224601    root    dbmis   Execute 6   update  INSERT INTO	
    17224602    root    dbmis   Execute 6   Sending data    SELECT sum(exchange_coin) as exchange_coin FROM	
    17224606    root    dbmis   Execute 5   update  INSERT INTO	
    17224619    root    dbmis   Execute 2   update  INSERT INTO	
    17224620    root    dbmis   Execute 2   update  INSERT INTO	
    17224621    root    dbmis   Execute 2   Sending data    SELECT sum(exchange_coin) as exchange_coin	
    17224622    root    dg  Execute 2   update  INSERT INTO	
    17224623    root    dbmis   Execute 1   update  INSERT INTO	
    17224624    root    dbmis   Execute 1   update  INSERT INTO	
    17224625    root    dg  Execute 1   update  INSERT INTO	
    17224626    root    dbmis   Execute 0   update  INSERT INTO

2. 系统 IO/CPU

从 vmstat 来看，CPU 使用不大，而 IO 也在可以接受的范围内（vmstat wa% 不高且 b 列为 0 ）如下：

vmstat--------------------------------------	
    procs -----------memory---------- ---swap-- -----io---- -system-- ------cpu-----	
     r  b   swpd   free   buff  cache   si   so    bi    bo   in   cs us sy id wa st	
     2  0 927300 3057100      0 53487316    0    0     5   192    0    0  3  1 96  0  0	
    iostat--------------------------------------	
    Linux 3.10.0-693.el7.x86_64 (fang-data1)     09/23/2019  _x86_64_    (32 CPU)	
    avg-cpu:  %user   %nice %system %iowait  %steal   %idle	
               2.72    0.00    0.52    0.45    0.00   96.31	
    Device:         rrqm/s   wrqm/s     r/s     w/s    rkB/s    wkB/s avgrq-sz avgqu-sz   await r_await w_await  svctm  %util	
    sdb               9.73    11.28    3.93  264.54   415.23  2624.20    22.64     0.25    0.93    3.25    0.90   0.80  21.61	
    sda              10.13    11.59    6.34  264.22   450.68  2624.20    22.73     0.01    0.05    2.55    1.00   0.93  25.19	
    sdc              11.60    11.36    5.03  263.12   453.02  2592.44    22.71     0.17    0.62    5.08    0.53   0.81  21.60	
    sde               0.01     0.10    0.11  160.45     6.69   920.23    11.55     0.16    1.01    1.80    1.01   0.83  13.32	
    sdd              11.26    11.30    2.23  263.18   412.90  2592.44    22.65     0.17    0.65   10.37    0.56   0.82  21.78	
    md126             0.00     0.00   11.30  468.80   164.79  5216.64    22.42     0.00    0.00    0.00    0.00   0.00   0.00	
    dm-0              0.00     0.00    0.11   58.80     6.69   920.23    31.47     0.15    2.56    1.96    2.56   2.16  12.74	
    dm-1              0.00     0.00    0.06    0.08     0.24     0.31     8.00     0.01   41.80    1.20   72.78   0.83   0.01	
    dm-2              0.00     0.00   11.24  408.66   164.55  5216.33    25.63     0.14    0.32    1.02    0.30   0.46  19.29

这就比较奇怪了，一般来说数据库不能及时响应请求很大可能是由于系统负载过高。 如果说 DML 还可能是 Innodb 锁造成的堵塞，但是大量 sending data 状态下的 select 操作一般可能都和系统负载过高有联系，但是这里系统负载还在可以接受的范围内。

**二、pstack 分析**

借助 pstack 查看线程的栈帧，查看 pstack 发现如下（由于篇幅限制只给出部分说明问题的部分）：

1. insert 线程：

Thread 85 (Thread 0x7fbb0d42b700 (LWP 20174)):	
    #0  0x00007fbfae164c73 in select () from /lib64/libc.so.6	
    #1  0x0000000000987c0f in os_thread_sleep (tm=<optimized out>) at /home/install/lnmp1.5/src/mysql-5.6.40/storage/innobase/os/os0thread.cc:287	
    #2  0x00000000009e4dea in srv_conc_enter_innodb_with_atomics (trx=trx@entry=0x7fba4802f9c8) at /home/install/lnmp1.5/src/mysql-5.6.40/storage/innobase/srv/srv0conc.cc:276	
    #3  srv_conc_enter_innodb (trx=trx@entry=0x7fba4802f9c8) at /home/install/lnmp1.5/src/mysql-5.6.40/storage/innobase/srv/srv0conc.cc:511	
    #4  0x000000000093b948 in innobase_srv_conc_enter_innodb (trx=0x7fba4802f9c8) at /home/install/lnmp1.5/src/mysql-5.6.40/storage/innobase/handler/ha_innodb.cc:1280	
    #5  ha_innobase::write_row (this=0x7fb8440ab260, record=0x7fb8440ab650 "") at /home/install/lnmp1.5/src/mysql-5.6.40/storage/innobase/handler/ha_innodb.cc:6793	
    #6  0x00000000005b440f in handler::ha_write_row (this=0x7fb8440ab260, buf=0x7fb8440ab650 "") at /home/install/lnmp1.5/src/mysql-5.6.40/sql/handler.cc:7351	
    #7  0x00000000006dd3a8 in write_record (thd=thd@entry=0x1d396c90, table=table@entry=0x7fb8440aa970, info=info@entry=0x7fbb0d429400, update=update@entry=0x7fbb0d429480) at /home/install/lnmp1.5/src/mysql-5.6.40/sql/sql_insert.cc:1667	
    #8  0x00000000006e2541 in mysql_insert (thd=thd@entry=0x1d396c90, table_list=<optimized out>, fields=..., values_list=..., update_fields=..., update_values=..., duplic=DUP_REPLACE, ignore=false) at /home/install/lnmp1.5/src/mysql-5.6.40/sql/sql_insert.cc:1072	
    #9  0x00000000006fa90a in mysql_execute_command (thd=thd@entry=0x1d396c90) at /home/install/lnmp1.5/src/mysql-5.6.40/sql/sql_parse.cc:3500

2. update 线程

Thread 81 (Thread 0x7fbb24b67700 (LWP 27490)):	
    #0  0x00007fbfae164c73 in select () from /lib64/libc.so.6	
    #1  0x0000000000987c0f in os_thread_sleep (tm=<optimized out>) at /home/install/lnmp1.5/src/mysql-5.6.40/storage/innobase/os/os0thread.cc:287	
    #2  0x00000000009e4dea in srv_conc_enter_innodb_with_atomics (trx=trx@entry=0x7fb94003c608) at /home/install/lnmp1.5/src/mysql-5.6.40/storage/innobase/srv/srv0conc.cc:276	
    #3  srv_conc_enter_innodb (trx=trx@entry=0x7fb94003c608) at /home/install/lnmp1.5/src/mysql-5.6.40/storage/innobase/srv/srv0conc.cc:511	
    #4  0x000000000093ae4e in innobase_srv_conc_enter_innodb (trx=0x7fb94003c608) at /home/install/lnmp1.5/src/mysql-5.6.40/storage/innobase/handler/ha_innodb.cc:1280	
    #5  ha_innobase::index_read (this=0x7fb95c05b540, buf=0x7fb95c2ae4f0 "\377\377\377", key_ptr=<optimized out>, key_len=<optimized out>, find_flag=<optimized out>) at /home/install/lnmp1.5/src/mysql-5.6.40/storage/innobase/handler/ha_innodb.cc:7675	
    #6  0x00000000005ab6e0 in ha_index_read_map (find_flag=HA_READ_KEY_EXACT, keypart_map=3, key=0x7fb940017048 "7\307\017e\257h", buf=<optimized out>, this=0x7fb95c05b540) at /home/install/lnmp1.5/src/mysql-5.6.40/sql/handler.cc:2753	
    #7  handler::read_range_first (this=0x7fb95c05b540, start_key=<optimized out>, end_key=<optimized out>, eq_range_arg=<optimized out>, sorted=<optimized out>) at /home/install/lnmp1.5/src/mysql-5.6.40/sql/handler.cc:6717	
    #8  0x00000000005aa206 in handler::multi_range_read_next (this=0x7fb95c05b540, range_info=0x7fbb24b65240) at /home/install/lnmp1.5/src/mysql-5.6.40/sql/handler.cc:5871	
    #9  0x0000000000804acb in QUICK_RANGE_SELECT::get_next (this=0x7fb94000f720) at /home/install/lnmp1.5/src/mysql-5.6.40/sql/opt_range.cc:10644	
    #10 0x000000000082ae2d in rr_quick (info=0x7fbb24b65410) at /home/install/lnmp1.5/src/mysql-5.6.40/sql/records.cc:369	
    #11 0x0000000000766e1b in mysql_update (thd=thd@entry=0x1d1f2250, table_list=<optimized out>, fields=..., values=..., conds=0x7fb9400009c8, order_num=	
    <optimized out>, order=<optimized out>, limit=18446744073709551615, handle_duplicates=DUP_ERROR, ignore=false, found_return=found_return@entry=0x7fbb24b65800, updated_return=updated_return@entry=0x7fbb24b65d60) at /home/install/lnmp1.5/src/mysql-5.6.40/sql/sql_update.cc:744

3. select 线程

Thread 66 (Thread 0x7fbb3c355700 (LWP 16028)):	
    #0  0x00007fbfae164c73 in select () from /lib64/libc.so.6	
    #1  0x0000000000987c0f in os_thread_sleep (tm=<optimized out>) at /home/install/lnmp1.5/src/mysql-5.6.40/storage/innobase/os/os0thread.cc:287	
    #2  0x00000000009e4dea in srv_conc_enter_innodb_with_atomics (trx=trx@entry=0x7fb988354858) at /home/install/lnmp1.5/src/mysql-5.6.40/storage/innobase/srv/srv0conc.cc:276	
    #3  srv_conc_enter_innodb (trx=trx@entry=0x7fb988354858) at /home/install/lnmp1.5/src/mysql-5.6.40/storage/innobase/srv/srv0conc.cc:511	
    #4  0x000000000093ae4e in innobase_srv_conc_enter_innodb (trx=0x7fb988354858) at /home/install/lnmp1.5/src/mysql-5.6.40/storage/innobase/handler/ha_innodb.cc:1280	
    #5  ha_innobase::index_read (this=0x7fb9880e33a0, buf=0x7fb988351b50 "\377\377\377\377", key_ptr=<optimized out>, key_len=<optimized out>, find_flag=<optimized out>) at /home/install/lnmp1.5/src/mysql-5.6.40/storage/innobase/handler/ha_innodb.cc:7675	
    #6  0x00000000005ab6e0 in ha_index_read_map (find_flag=HA_READ_AFTER_KEY, keypart_map=7, key=0x7fb988134a48 "", buf=<optimized out>, this=0x7fb9880e33a0) at /home/install/lnmp1.5/src/mysql-5.6.40/sql/handler.cc:2753	
    #7  handler::read_range_first (this=0x7fb9880e33a0, start_key=<optimized out>, end_key=<optimized out>, eq_range_arg=<optimized out>, sorted=<optimized out>) at /home/install/lnmp1.5/src/mysql-5.6.40/sql/handler.cc:6717	
    #8  0x00000000005aa206 in handler::multi_range_read_next (this=0x7fb9880e33a0, range_info=0x7fbb3c353400) at /home/install/lnmp1.5/src/mysql-5.6.40/sql/handler.cc:5871	
    #9  0x0000000000804acb in QUICK_RANGE_SELECT::get_next (this=0x7fb988002050) at /home/install/lnmp1.5/src/mysql-5.6.40/sql/opt_range.cc:10644	
    #10 0x000000000082ae2d in rr_quick (info=0x7fb98809c210) at /home/install/lnmp1.5/src/mysql-5.6.40/sql/records.cc:369	
    #11 0x00000000006d44fd in sub_select (join=0x7fb98809a728, join_tab=0x7fb98809c180, end_of_records=<optimized out>) at /home/install/lnmp1.5/src/mysql-5.6.40/sql/sql_executor.cc:1259	
    #12 0x00000000006d2823 in do_select (join=0x7fb98809a728) at /home/install/lnmp1.5/src/mysql-5.6.40/sql/sql_executor.cc:936	
    #13 JOIN::exec (this=0x7fb98809a728) at /home/install/lnmp1.5/src/mysql-5.6.40/sql/sql_executor.cc:194

好了有了这些栈帧视乎发现一些共同点他们都处于 innobase\_srv\_conc\_enter\_innodb 函数下，本函数正是下面参数实现的方式：

*  innodb\_thread\_concurrency
 *  innodb\_concurrency\_tickets

所以我随即告诉他检查这两个参数，如果设置了可以尝试取消。过后数据库故障得到解决。

**三、参数和相关说明**

实际上涉及到的参数主要是 innodb\_thread\_concurrency 和 innodb\_concurrency\_tickets。 将高压力下线程之间抢占 CPU 而造成线程上下文切换的情况尽量阻塞在 Innodb 层之外，这就需要 innodb\_thread\_concurrency 参数了。 同时又要保证对于那些（长时间处理线程）不会长时间的堵塞（短时间处理线程），比如某些 select 操作需要查询很久，而某些 select 操作查询量很小，如果等待（长时间的 select 操作）结束后（短时间 select 操作）才执行，那么显然会出现（短时间 select 操作）饥饿问题，换句话说对（短时间 select 操作）是不公平的， 因此就引入了 innodb\_concurrency\_tickets 参数。

1. innodb\_thread\_concurrency

同一时刻能够进入 Innodb 层的会话（线程）数。如果在 Innodb 层干活的会话（线程）数量超过这个参数的设置，新会话（线程）将不能从 MySQL 层进入到 Innodb 层，它们将进入一个短暂的睡眠状态。休眠多久则通过参数 innodb\_thread\_sleep\_delay 参数指定，如果还设置了参数 innodb\_adaptive\_max\_sleep\_delay 那么 Innodb 将会自动调整休眠时间，具体的算法实际上就在 srv\_conc\_enter\_innodb\_with\_atomics 函数中，感兴趣的可以执行查看。其次这种休眠实际上是一个定时醒来的时钟，通过 ::nanosleep 或者 select（多路 IO 转接函数）进行实现，定时唤醒后会话（线程）重新判断是否可以进入 Innodb 层。函数 os\_thread\_sleep 部分如下：

#elif defined(HAVE_NANOSLEEP)	
        struct timespec t;	
        t.tv_sec = tm / 1000000;	
        t.tv_nsec = (tm % 1000000) * 1000;	
        ::nanosleep(&t, NULL);	
    #else	
        struct timeval  t;	
        t.tv_sec = tm / 1000000;	
        t.tv_usec = tm % 1000000;	
        select(0, NULL, NULL, NULL, &t);

关于到底如何设置这个值，官方文档有如下建议：

Use the following guidelines to help find and maintain an appropriate setting:	
    - If the number of concurrent user threads for a workload is less than 64, set	
    innodb_thread_concurrency=0.	
    - If your workload is consistently heavy or occasionally spikes, start by setting	
    innodb_thread_concurrency=128 and then lowering the value to 96, 80, 64, and so on, until	
    you find the number of threads that provides the best performance. For example, suppose your	
    system typically has 40 to 50 users, but periodically the number increases to 60, 70, or even 200.	
    You find that performance is stable at 80 concurrent users but starts to show a regression above	
    this number. In this case, you would set innodb_thread_concurrency=80 to avoid impacting	
    performance.	
    - If you do not want InnoDB to use more than a certain number of virtual CPUs for user threads	
    (20 virtual CPUs, for example), set innodb_thread_concurrency to this number (or possibly	
    lower, depending on performance results). If your goal is to isolate MySQL from other applications,	
    you may consider binding the mysqld process exclusively to the virtual CPUs. Be aware,	
    however, that exclusive binding could result in non-optimal hardware usage if the mysqld process	
    is not consistently busy. In this case, you might bind the mysqld process to the virtual CPUs but	
    also allow other applications to use some or all of the virtual CPUs.	
    - innodb_thread_concurrency values that are too high can cause performance regression due	
    to increased contention on system internals and resources.	
    - In some cases, the optimal innodb_thread_concurrency setting can be smaller than the	
    number of virtual CPUs.	
    - Monitor and analyze your system regularly. Changes to workload, number of users, or computing	
    environment may require that you adjust the innodb_thread_concurrency setting

可以发现要合理的设置这个值并不那么容易并且要求较高。

2. innodb\_concurrency\_tickets

实际上这里的 tickets 可以理解为 MySQL 层和 Innodb 层交互的次数，比如一个 select 一条数据就是需要 Innodb 层返回一条数据然后 MySQL 层进行 where 条件的过滤然后返回给客户端，抛开 where 条件过滤的情况，如果我们一条语句需要查询 100 条数据，那么实际上需要进入 Innodb 层 100 次，那么实际上消耗的 tickets 就是 100。 当然对于 insert select 这种操作，需要的 tickets 是普通 select 的两倍，因为查询需要进入 Innodb 层一次，insert 需要再次进入 Innodb 层一次，后面我们就使用 insert select 的方式来模拟堵塞的情况，最后还会给出说明。

这样我们也就理解为什么 innodb\_concurrency\_tickets 可以避免（长时间处理线程）长时间堵塞（短时间处理线程）的原因了。 假设 innodb\_concurrency\_tickets 为 5000（默认值），有一个需要查询 100W 行数据的大 select 操作和一个需要查询 100 行数据的小 select 操作，大 select 操作先进行，但是当查询了 5000 行数据后将丢失CPU使用权，小 select 操作将会进行并且一次性完成。

最后关于这里涉及的参数可以继续参考官方文档中的说明，我们线上并没有设置这些参数，因为感觉很难设置合适，如果设置不当反而会遇到问题，就如本案例一样。

3. 事务操作状态

实际上如果是处于这种堵塞情况，我们完全可以在 information\_schema.innodb\_trx 和 show engine innodb status 中看到如下：

---TRANSACTION 162307, ACTIVE 133 sec sleeping before entering InnoDB （这里）	
    mysql tables in use 2, locked 2	
    767 lock struct(s), heap size 106968, 212591 row lock(s), undo log entries 15451	
    MySQL thread id 14, OS thread handle 140736751912704, query id 1077 localhost root Sending data	
    insert into testui select * from testui	
    ---TRANSACTION 162302, ACTIVE 320 sec, thread declared inside InnoDB 1	
    mysql tables in use 2, locked 2	
    2477 lock struct(s), heap size 336344, 609049 row lock(s), undo log entries 83582	
    MySQL thread id 13, OS thread handle 140737153779456, query id 1050 localhost root Sending data	
    insert into testti3 select * from testti3	
    mysql> select trx_id,trx_state,trx_query,trx_operation_state,trx_concurrency_tickets from information_schema.innodb_trx \G	
    *************************** 1. row ***************************	
                     trx_id: 84325	
                  trx_state: RUNNING	
                  trx_query: insert into  baguait4 select * from testgp	
        trx_operation_state: sleeping before entering InnoDB（这里）	
    trx_concurrency_tickets: 0	
    *************************** 2. row ***************************	
                     trx_id: 84319	
                  trx_state: RUNNING	
                  trx_query: insert into  baguait3 select * from testgp	
        trx_operation_state: sleeping before entering InnoDB	
    trx_concurrency_tickets: 0

我们可以看到事务操作状态被标记为 sleeping before entering InnoDB 。但是需要注意一点的是对于只读事务比如 select 操作而言，show engine innodb status 可能看不到。但是遗憾的是案例中朋友并没有采集 trx\_operation\_state 的值。

**四、模拟测试**

这里我们简单模拟，我们一共启用3个事务，其中两个 insert select 操作，一个单纯的 select 操作，当然这里的都是耗时操作，涉及的表每个表都有大概 100W 的数据。

同时为了方便观察我们需要设置参数：

*  innodb\_thread\_concurrency=1
 *  innodb\_concurrency\_tickets=10

操作步骤如下：

![640?wx\_fmt=jpeg][640_wx_fmt_jpeg]

如果多观察几次你可以看到如下的现象：

我们可以观察到 trx\_operation\_state 的状态 3 个操作都在交替的变化，但是总有 2 个处于 sleeping before entering InnoDB  状态。并且我们可以观察到 trx\_concurrency\_tickets 总是不会大于 10 的。因此我们有理由相信在同一时刻只有一个操作进入了 Innodb 层。但是需要注意的是在 show engine innodb status 中观察不到 select 的操作如下：

------------	
    TRANSACTIONS	
    ------------	
    Trx id counter 84538	
    Purge done for trx's n:o < 84526 undo n:o < 0 state: running but idle	
    History list length 356	
    Total number of lock structs in row lock hash table 0	
    LIST OF TRANSACTIONS FOR EACH SESSION:	
    ---TRANSACTION 422211785609424, not started	
    0 lock struct(s), heap size 1160, 0 row lock(s)	
    ---TRANSACTION 422211785608032, not started	
    0 lock struct(s), heap size 1160, 0 row lock(s)	
    ---TRANSACTION 84529, ACTIVE 103 sec inserting, thread declared inside InnoDB 6	
    mysql tables in use 2, locked 1	
    1 lock struct(s), heap size 1160, 0 row lock(s), undo log entries 111866	
    MySQL thread id 7, OS thread handle 140737158833920, query id 80 localhost root Sending data	
    insert into  baguait4 select * from testgp	
    Trx read view will not see trx with id >= 84529, sees < 84524	
    ---TRANSACTION 84524, ACTIVE 105 sec sleeping before entering InnoDB	
    mysql tables in use 2, locked 1	
    1 lock struct(s), heap size 1160, 0 row lock(s), undo log entries 105605	
    MySQL thread id 6, OS thread handle 140737159034624, query id 79 localhost root Sending data	
    insert into  baguait3 select * from testgp	
    Trx read view will not see trx with id >= 84524, sees < 84524

但是我们还需要注意 show engine innodb status 有如下输出第一行说明了有 2 个会话（线程）堵塞在 Innodb 层以外。

--------------	
    ROW OPERATIONS	
    --------------	
    1 queries inside InnoDB, 2 queries in queue	
    3 read views open inside InnoDB	
    2 RW transactions active inside InnoDB

**五、实现方法**

前面我们已经描述了每次 MySQL 层和 Innodb 层的交互都会进行一次这样的判断，它用来决定会话（线程）是否能够进入 Innodb 层，下面就是大概的逻辑，由函数 innobase\_srv\_conc\_enter\_innodb 调入。

->是否设置了参数innodb_thread_concurrency	
      ->是	
         ->是否tickets大于0	
            ->是、直接进入Innodb层并且tickets减1	
            ->否、调入函数srv_conc_enter_innodb	
               ->调入函数srv_conc_enter_innodb_with_atomics	
                  ->开启死循环	
                     ->是否活跃线程数小于innodb_thread_concurrency设置	
                        ->是、增加活跃线程数，并且自动调整delay参数，退出死循环，满tickets进入Innodb层	
                        ->否、自动调整delay参数后设置事务操作状态为"sleeping before entering InnoDB"，然后进入休眠状态直到时间达到后重新醒来继续循环	
      ->否、直接进入Innodb层

我们可以看到这个实现方式，在 Inndob 以外的会话（线程）会一直等待直到 Inndob 层内活跃的线程数小于 innodb\_thread\_concurrency 为止，并且每次进入 Innodb 层都会将 tickets 减 1。

**其他：关于 insert select 操作消耗 tickets 的说明**

这里额外说明一下，因为我在测试的时候看了一下，对于一行数据而言首先需要 select 查询出来然后再 insert 插入到表中，这里实际上一行数据涉及到进入 Innodb 层两次，那么就需要消耗 2 个 tickets，下面留下两个栈帧供自己后面参考：

1. insert select 查询数据进入 Innodb 层

#0  innobase_srv_conc_enter_innodb (prebuilt=0x7ffedcb98d10) at /mysqldata/percona-server-locks-detail-5.7.22/storage/innobase/handler/ha_innodb.cc:1740	
    #1  0x0000000001a53f7c in ha_innobase::general_fetch (this=0x7ffedcb9d760, buf=0x7ffedc9469b0 "\375\n", direction=1, match_mode=0)	
        at /mysqldata/percona-server-locks-detail-5.7.22/storage/innobase/handler/ha_innodb.cc:9846	
    #2  0x0000000001a545ee in ha_innobase::rnd_next (this=0x7ffedcb9d760, buf=0x7ffedc9469b0 "\375\n")	
        at /mysqldata/percona-server-locks-detail-5.7.22/storage/innobase/handler/ha_innodb.cc:10083	
    #3  0x0000000000f836d6 in handler::ha_rnd_next (this=0x7ffedcb9d760, buf=0x7ffedc9469b0 "\375\n") at /mysqldata/percona-server-locks-detail-5.7.22/sql/handler.cc:3146	
    #4  0x00000000014e2a55 in rr_sequential (info=0x7ffedcb4f120) at /mysqldata/percona-server-locks-detail-5.7.22/sql/records.cc:521	
    #5  0x0000000001581277 in sub_select (join=0x7ffedcb4ea20, qep_tab=0x7ffedcb4f0d0, end_of_records=false)	
        at /mysqldata/percona-server-locks-detail-5.7.22/sql/sql_executor.cc:1280	
    #6  0x0000000001580be6 in do_select (join=0x7ffedcb4ea20) at /mysqldata/percona-server-locks-detail-5.7.22/sql/sql_executor.cc:950	
    #7  0x000000000157eaa2 in JOIN::exec (this=0x7ffedcb4ea20) at /mysqldata/percona-server-locks-detail-5.7.22/sql/sql_executor.cc:199	
    #8  0x0000000001620327 in handle_query (thd=0x7ffedc012960, lex=0x7ffedc014f90, result=0x7ffedcc46680, added_options=1342177280, removed_options=0)	
        at /mysqldata/percona-server-locks-detail-5.7.22/sql/sql_select.cc:185	
    #9  0x000000000180466d in Sql_cmd_insert_select::execute (this=0x7ffedcc46608, thd=0x7ffedc012960)

2. insert select 插入数据进入 Innodb 层

#0  innobase_srv_conc_enter_innodb (prebuilt=0x7ffedcb9c6f0) at /mysqldata/percona-server-locks-detail-5.7.22/storage/innobase/handler/ha_innodb.cc:1740	
    #1  0x0000000001a50587 in ha_innobase::write_row (this=0x7ffedc946470, record=0x7ffedcb78d00 "\375\n")	
        at /mysqldata/percona-server-locks-detail-5.7.22/storage/innobase/handler/ha_innodb.cc:8341	
    #2  0x0000000000f9041d in handler::ha_write_row (this=0x7ffedc946470, buf=0x7ffedcb78d00 "\375\n") at /mysqldata/percona-server-locks-detail-5.7.22/sql/handler.cc:8466	
    #3  0x00000000018004b9 in write_record (thd=0x7ffedc012960, table=0x7ffedcb8f940, info=0x7ffedcc466c8, update=0x7ffedcc46740)	
        at /mysqldata/percona-server-locks-detail-5.7.22/sql/sql_insert.cc:1881	
    #4  0x00000000018019b9 in Query_result_insert::send_data (this=0x7ffedcc46680, values=...) at /mysqldata/percona-server-locks-detail-5.7.22/sql/sql_insert.cc:2279	
    #5  0x00000000015853a8 in end_send (join=0x7ffedcb4ea20, qep_tab=0x7ffedcb4f248, end_of_records=false)	
        at /mysqldata/percona-server-locks-detail-5.7.22/sql/sql_executor.cc:2925	
    #6  0x0000000001581f71 in evaluate_join_record (join=0x7ffedcb4ea20, qep_tab=0x7ffedcb4f0d0) at /mysqldata/percona-server-locks-detail-5.7.22/sql/sql_executor.cc:1645	
    #7  0x0000000001581372 in sub_select (join=0x7ffedcb4ea20, qep_tab=0x7ffedcb4f0d0, end_of_records=false)	
        at /mysqldata/percona-server-locks-detail-5.7.22/sql/sql_executor.cc:1297	
    #8  0x0000000001580be6 in do_select (join=0x7ffedcb4ea20) at /mysqldata/percona-server-locks-detail-5.7.22/sql/sql_executor.cc:950	
    #9  0x000000000157eaa2 in JOIN::exec (this=0x7ffedcb4ea20) at /mysqldata/percona-server-locks-detail-5.7.22/sql/sql_executor.cc:199	
    #10 0x0000000001620327 in handle_query (thd=0x7ffedc012960, lex=0x7ffedc014f90, result=0x7ffedcc46680, added_options=1342177280, removed_options=0)	
        at /mysqldata/percona-server-locks-detail-5.7.22/sql/sql_select.cc:185	
    #11 0x000000000180466d in Sql_cmd_insert_select::execute (this=0x7ffedcc46608, thd=0x7ffedc012960)

实际上插入数据正是在查询完数据后调用函数 evaluate\_join\_record 的时候，通过回调了函数 Query\_result\_insert::send\_data 来实现，这点和单纯的 select 不一样单纯的 select 这里调入是函数 Query\_result\_send::send\_data 如下：

#0  Query_result_send::send_data (this=0x7ffedcc465f8, items=...) at /mysqldata/percona-server-locks-detail-5.7.22/sql/sql_class.cc:2915	
    #1  0x00000000015853a8 in end_send (join=0x7ffedcb4e930, qep_tab=0x7ffedcb4f4b0, end_of_records=false)	
        at /mysqldata/percona-server-locks-detail-5.7.22/sql/sql_executor.cc:2925	
    #2  0x0000000001581f71 in evaluate_join_record (join=0x7ffedcb4e930, qep_tab=0x7ffedcb4f338) at /mysqldata/percona-server-locks-detail-5.7.22/sql/sql_executor.cc:1645	
    #3  0x0000000001581372 in sub_select (join=0x7ffedcb4e930, qep_tab=0x7ffedcb4f338, end_of_records=false)	
        at /mysqldata/percona-server-locks-detail-5.7.22/sql/sql_executor.cc:1297	
    #4  0x0000000001580be6 in do_select (join=0x7ffedcb4e930) at /mysqldata/percona-server-locks-detail-5.7.22/sql/sql_executor.cc:950	
    #5  0x000000000157eaa2 in JOIN::exec (this=0x7ffedcb4e930) at /mysqldata/percona-server-locks-detail-5.7.22/sql/sql_executor.cc:199	
    #6  0x0000000001620327 in handle_query (thd=0x7ffedc012960, lex=0x7ffedc014f90, result=0x7ffedcc465f8, added_options=0, removed_options=0)	
        at /mysqldata/percona-server-locks-detail-5.7.22/sql/sql_select.cc:185	
    #7  0x00000000015d1f77 in execute_sqlcom_select (thd=0x7ffedc012960, all_tables=0x7ffedcc45cf0) at /mysqldata/percona-server-locks-detail-5.7.22/sql/sql_parse.cc:5445

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