MySQL5.6 PERFORMANCE_SCHEMA 说明

怼烎@ 2022-10-30 13:25 141阅读 0赞

**背景：**

MySQL 5.5开始新增一个数据库：PERFORMANCE\_SCHEMA，主要用于收集数据库服务器性能参数。并且库里表的存储引擎均为PERFORMANCE\_SCHEMA，而用户是不能创建存储引擎为PERFORMANCE\_SCHEMA的表。MySQL5.5默认是关闭的，需要手动开启，在配置文件里添加：

[mysqld]
    performance_schema=ON

查看是否开启：

mysql>show variables like 'performance_schema';
    +--------------------+-------+
    | Variable_name      | Value |
    +--------------------+-------+
    | performance_schema | ON    |
    +--------------------+-------+

从MySQL5.6开始，默认打开，本文就从MySQL5.6来说明，在数据库使用当中PERFORMANCE\_SCHEMA的一些比较常用的功能。具体的信息可以查看[官方文档][Link 1]。

**相关表信息：**

**一：配置（setup）表：**

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

**1，setup\_actors**：配置用户纬度的监控，默认监控所有用户。

zjy@performance_schema 10:19:11>select * from setup_actors;
    +------+------+------+
    | HOST | USER | ROLE |
    +------+------+------+
    | %    | %    | %    |
    +------+------+------+

**2，setup\_consumers**：配置events的消费者类型，即收集的events写入到哪些统计表中。

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

zjy@: performance_schema 10:23:35>select * from setup_consumers;
    +--------------------------------+---------+
    | NAME                           | ENABLED |
    +--------------------------------+---------+
    | events_stages_current          | NO      |
    | events_stages_history          | NO      |
    | events_stages_history_long     | NO      |
    | events_statements_current      | YES     |
    | events_statements_history      | NO      |
    | events_statements_history_long | NO      |
    | events_waits_current           | NO      |
    | events_waits_history           | NO      |
    | events_waits_history_long      | NO      |
    | global_instrumentation         | YES     |
    | thread_instrumentation         | YES     |
    | statements_digest              | YES     |
    +--------------------------------+---------+

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

这里需要说明的是需要查看哪个就更新其ENABLED列为YES。如：

zjy@performance_schema 10:25:02>update setup_consumers set ENABLED='YES' where NAME in ('events_stages_current','events_waits_current');
    Query OK, 2 rows affected (0.00 sec)

更新完后立即生效，但是服务器重启之后又会变回默认值，要永久生效需要在配置文件里添加：

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

[mysqld]
    #performance_schema
    performance_schema_consumer_events_waits_current=on
    performance_schema_consumer_events_stages_current=on
    performance_schema_consumer_events_statements_current=on
    performance_schema_consumer_events_waits_history=on
    performance_schema_consumer_events_stages_history=on
    performance_schema_consumer_events_statements_history=on

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

即在这些表的前面加上：performance\_schema\_consumer\_xxx。表setup\_consumers里面的值有个层级关系：

global_instrumentation > thread_instrumentation = statements_digest > events_stages_current = events_statements_current = events_waits_current > events_stages_history = events_statements_history = events_waits_history > events_stages_history_long = events_statements_history_long = events_waits_history_long

只有上一层次的为YES，才会继续检查该本层为YES or NO。global\_instrumentation是最高级别consumer，如果它设置为NO，则所有的consumer都会忽略。其中history和history\_long存的是current表的历史记录条数，history表记录了每个线程最近等待的10个事件，而history\_long表则记录了最近所有线程产生的10000个事件，这里的10和10000都是可以配置的。这三个表表结构相同，history和history\_long表数据都来源于current表。长度通过控制参数：

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

zjy@performance_schema 11:10:03>show variables like 'performance_schema%history%size';
    +--------------------------------------------------------+-------+
    | Variable_name                                          | Value |
    +--------------------------------------------------------+-------+
    | performance_schema_events_stages_history_long_size     | 10000 |
    | performance_schema_events_stages_history_size          | 10    |
    | performance_schema_events_statements_history_long_size | 10000 |
    | performance_schema_events_statements_history_size      | 10    |
    | performance_schema_events_waits_history_long_size      | 10000 |
    | performance_schema_events_waits_history_size           | 10    |
    +--------------------------------------------------------+-------+

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

**3，****setup\_instruments**：配置具体的instrument，主要包含4大类：idle、stage/xxx、statement/xxx、wait/xxx：

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

zjy@performance_schema 10:56:35>select name,count(*) from setup_instruments group by LEFT(name,5);
    +---------------------------------+----------+
    | name                            | count(*) |
    +---------------------------------+----------+
    | idle                            |        1 |
    | stage/sql/After create          |      111 |
    | statement/sql/select            |      179 |
    | wait/synch/mutex/sql/PAGE::lock |      296 |
    +---------------------------------+----------+

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

idle表示socket空闲的时间，stage类表示语句的每个执行阶段的统计，statement类统计语句维度的信息，wait类统计各种等待事件，比如IO，mutux，spin\_lock,condition等。

**4，setup\_objects**：配置监控对象，默认对mysql，performance\_schema和information\_schema中的表都不监控，而其它DB的所有表都监控。

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

zjy@performance_schema 11:00:18>select * from setup_objects;
    +-------------+--------------------+-------------+---------+-------+
    | OBJECT_TYPE | OBJECT_SCHEMA      | OBJECT_NAME | ENABLED | TIMED |
    +-------------+--------------------+-------------+---------+-------+
    | TABLE       | mysql              | %           | NO      | NO    |
    | TABLE       | performance_schema | %           | NO      | NO    |
    | TABLE       | information_schema | %           | NO      | NO    |
    | TABLE       | %                  | %           | YES     | YES   |
    +-------------+--------------------+-------------+---------+-------+

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

**5，setup\_timers**：配置每种类型指令的统计时间单位。MICROSECOND表示统计单位是微妙，CYCLE表示统计单位是时钟周期，时间度量与CPU的主频有关，NANOSECOND表示统计单位是纳秒。但无论采用哪种度量单位，最终统计表中统计的时间都会装换到皮秒。（1秒＝1000000000000皮秒）

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

**二：instance表**

**1，****cond\_instances**：条件等待对象实例

表中记录了系统中使用的条件变量的对象，**OBJECT\_INSTANCE\_BEGIN**为对象的内存地址。

**2，****file\_instances**：文件实例

表中记录了系统中打开了文件的对象，包括ibdata文件，redo文件，binlog文件，用户的表文件等，**open\_count**显示当前文件打开的数目，如果重来没有打开过，不会出现在表中。

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

**3，mutex\_instances：**互斥同步对象实例

表中记录了系统中使用互斥量对象的所有记录，其中name为：wait/synch/mutex/\*。**LOCKED\_BY\_THREAD\_ID**显示哪个线程正持有mutex，若没有线程持有，则为NULL。

**4，****rwlock\_instances：** 读写锁同步对象实例

表中记录了系统中使用读写锁对象的所有记录，其中name为 wait/synch/rwlock/\*。**WRITE\_LOCKED\_BY\_THREAD\_ID**为正在持有该对象的thread\_id，若没有线程持有，则为NULL。**READ\_LOCKED\_BY\_COUNT**为记录了同时有多少个读者持有读锁。（通过 events\_waits\_current 表可以知道，哪个线程在等待锁；通过rwlock\_instances知道哪个线程持有锁。rwlock\_instances的缺陷是，只能记录持有写锁的线程，对于读锁则无能为力）。

**5，socket\_instances：**活跃会话对象实例  
表中记录了thread\_id,socket\_id,ip和port，其它表可以通过thread\_id与socket\_instance进行关联，获取IP-PORT信息，能够与应用对接起来。  
event\_name主要包含3类：  
wait/io/socket/sql/server\_unix\_socket，服务端unix监听socket  
wait/io/socket/sql/server\_tcpip\_socket，服务端tcp监听socket  
wait/io/socket/sql/client\_connection，客户端socket

**三：Wait表**

**1，****events\_waits\_current**：记录了当前线程等待的事件

**2，****events\_waits\_history**：记录了每个线程最近等待的10个事件

**3，****events\_waits\_history\_long**：记录了最近所有线程产生的10000个事件

表结构定义如下：

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

CREATE TABLE `events_waits_current` (
      `THREAD_ID` bigint(20) unsigned NOT NULL COMMENT '线程ID',
      `EVENT_ID` bigint(20) unsigned NOT NULL COMMENT '当前线程的事件ID，和THREAD_ID确定唯一',
      `END_EVENT_ID` bigint(20) unsigned DEFAULT NULL COMMENT '当事件开始时，这一列被设置为NULL。当事件结束时，再更新为当前的事件ID',
      `EVENT_NAME` varchar(128) NOT NULL COMMENT '事件名称',
      `SOURCE` varchar(64) DEFAULT NULL COMMENT '该事件产生时的源码文件',
      `TIMER_START` bigint(20) unsigned DEFAULT NULL COMMENT '事件开始时间（皮秒）',
      `TIMER_END` bigint(20) unsigned DEFAULT NULL COMMENT '事件结束结束时间（皮秒）',
      `TIMER_WAIT` bigint(20) unsigned DEFAULT NULL COMMENT '事件等待时间（皮秒）',
      `SPINS` int(10) unsigned DEFAULT NULL COMMENT '',
      `OBJECT_SCHEMA` varchar(64) DEFAULT NULL COMMENT '库名',
      `OBJECT_NAME` varchar(512) DEFAULT NULL COMMENT '文件名、表名、IP:SOCK值',
      `OBJECT_TYPE` varchar(64) DEFAULT NULL COMMENT 'FILE、TABLE、TEMPORARY TABLE',
      `INDEX_NAME` varchar(64) DEFAULT NULL COMMENT '索引名',
      `OBJECT_INSTANCE_BEGIN` bigint(20) unsigned NOT NULL COMMENT '内存地址',
      `NESTING_EVENT_ID` bigint(20) unsigned DEFAULT NULL COMMENT '该事件对应的父事件ID',
      `NESTING_EVENT_TYPE` enum('STATEMENT','STAGE','WAIT') DEFAULT NULL COMMENT '父事件类型(STATEMENT, STAGE, WAIT)',
      `OPERATION` varchar(32) NOT NULL COMMENT '操作类型（lock, read, write）',
      `NUMBER_OF_BYTES` bigint(20) DEFAULT NULL COMMENT '',
      `FLAGS` int(10) unsigned DEFAULT NULL COMMENT '标记'
    ) ENGINE=PERFORMANCE_SCHEMA DEFAULT CHARSET=utf8

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

**四：Stage 表 **

**1，events\_stages\_current**：记录了当前线程所处的执行阶段

**2，events\_stages\_history**：记录了当前线程所处的执行阶段10条历史记录

**3，events\_stages\_history\_long**：记录了当前线程所处的执行阶段10000条历史记录

表结构定义如下：

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

CREATE TABLE `events_stages_current` (
      `THREAD_ID` bigint(20) unsigned NOT NULL COMMENT '线程ID',
      `EVENT_ID` bigint(20) unsigned NOT NULL COMMENT '事件ID',
      `END_EVENT_ID` bigint(20) unsigned DEFAULT NULL COMMENT '结束事件ID',
      `EVENT_NAME` varchar(128) NOT NULL COMMENT '事件名称',
      `SOURCE` varchar(64) DEFAULT NULL COMMENT '源码位置',
      `TIMER_START` bigint(20) unsigned DEFAULT NULL COMMENT '事件开始时间（皮秒）',
      `TIMER_END` bigint(20) unsigned DEFAULT NULL COMMENT '事件结束结束时间（皮秒）',
      `TIMER_WAIT` bigint(20) unsigned DEFAULT NULL COMMENT '事件等待时间（皮秒）',
      `NESTING_EVENT_ID` bigint(20) unsigned DEFAULT NULL COMMENT '该事件对应的父事件ID',
      `NESTING_EVENT_TYPE` enum('STATEMENT','STAGE','WAIT') DEFAULT NULL COMMENT '父事件类型(STATEMENT, STAGE, WAIT)'
    ) ENGINE=PERFORMANCE_SCHEMA DEFAULT CHARSET=utf8

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

**五：Statement 表**

**1，events\_statements\_current**：通过 thread\_id+event\_id可以唯一确定一条记录。Statments表只记录最顶层的请求，SQL语句或是COMMAND，每条语句一行。event\_name形式为statement/sql/\*，或statement/com/\*

**2，events\_statements\_history**

**3，events\_statements\_history\_long**

表结构定义如下：

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

CREATE TABLE `events_statements_current` (
      `THREAD_ID` bigint(20) unsigned NOT NULL COMMENT '线程ID',
      `EVENT_ID` bigint(20) unsigned NOT NULL COMMENT '事件ID',
      `END_EVENT_ID` bigint(20) unsigned DEFAULT NULL COMMENT '结束事件ID',
      `EVENT_NAME` varchar(128) NOT NULL COMMENT '事件名称',
      `SOURCE` varchar(64) DEFAULT NULL COMMENT '源码位置',
      `TIMER_START` bigint(20) unsigned DEFAULT NULL COMMENT '事件开始时间（皮秒）',
      `TIMER_END` bigint(20) unsigned DEFAULT NULL COMMENT '事件结束结束时间（皮秒）',
      `TIMER_WAIT` bigint(20) unsigned DEFAULT NULL COMMENT '事件等待时间（皮秒）',
      `LOCK_TIME` bigint(20) unsigned NOT NULL COMMENT '锁时间',
      `SQL_TEXT` longtext COMMENT '记录SQL语句',
      `DIGEST` varchar(32) DEFAULT NULL COMMENT '对SQL_TEXT做MD5产生的32位字符串',
      `DIGEST_TEXT` longtext COMMENT '将语句中值部分用问号代替，用于SQL语句归类',
      `CURRENT_SCHEMA` varchar(64) DEFAULT NULL COMMENT '默认的数据库名',
      `OBJECT_TYPE` varchar(64) DEFAULT NULL COMMENT '保留字段',
      `OBJECT_SCHEMA` varchar(64) DEFAULT NULL COMMENT '保留字段',
      `OBJECT_NAME` varchar(64) DEFAULT NULL COMMENT '保留字段',
      `OBJECT_INSTANCE_BEGIN` bigint(20) unsigned DEFAULT NULL COMMENT '内存地址',
      `MYSQL_ERRNO` int(11) DEFAULT NULL COMMENT '',
      `RETURNED_SQLSTATE` varchar(5) DEFAULT NULL COMMENT '',
      `MESSAGE_TEXT` varchar(128) DEFAULT NULL COMMENT '信息',
      `ERRORS` bigint(20) unsigned NOT NULL COMMENT '错误数目',
      `WARNINGS` bigint(20) unsigned NOT NULL COMMENT '警告数目',
      `ROWS_AFFECTED` bigint(20) unsigned NOT NULL COMMENT '影响的数目',
      `ROWS_SENT` bigint(20) unsigned NOT NULL COMMENT '返回的记录数',
      `ROWS_EXAMINED` bigint(20) unsigned NOT NULL COMMENT '读取扫描的记录数目',
      `CREATED_TMP_DISK_TABLES` bigint(20) unsigned NOT NULL COMMENT '创建磁盘临时表数目',
      `CREATED_TMP_TABLES` bigint(20) unsigned NOT NULL COMMENT '创建临时表数目',
      `SELECT_FULL_JOIN` bigint(20) unsigned NOT NULL COMMENT 'join时，第一个表为全表扫描的数目',
      `SELECT_FULL_RANGE_JOIN` bigint(20) unsigned NOT NULL COMMENT '引用表采用range方式扫描的数目',
      `SELECT_RANGE` bigint(20) unsigned NOT NULL COMMENT 'join时，第一个表采用range方式扫描的数目',
      `SELECT_RANGE_CHECK` bigint(20) unsigned NOT NULL COMMENT '',
      `SELECT_SCAN` bigint(20) unsigned NOT NULL COMMENT 'join时，第一个表位全表扫描的数目',
      `SORT_MERGE_PASSES` bigint(20) unsigned NOT NULL COMMENT '',
      `SORT_RANGE` bigint(20) unsigned NOT NULL COMMENT '范围排序数目',
      `SORT_ROWS` bigint(20) unsigned NOT NULL COMMENT '排序的记录数目',
      `SORT_SCAN` bigint(20) unsigned NOT NULL COMMENT '全表排序数目',
      `NO_INDEX_USED` bigint(20) unsigned NOT NULL COMMENT '没有使用索引数目',
      `NO_GOOD_INDEX_USED` bigint(20) unsigned NOT NULL COMMENT '',
      `NESTING_EVENT_ID` bigint(20) unsigned DEFAULT NULL COMMENT '该事件对应的父事件ID',
      `NESTING_EVENT_TYPE` enum('STATEMENT','STAGE','WAIT') DEFAULT NULL COMMENT '父事件类型(STATEMENT, STAGE, WAIT)'
    ) ENGINE=PERFORMANCE_SCHEMA DEFAULT CHARSET=utf8

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

**六：Connection 表**

**1，users**：记录用户连接数信息

**2，hosts**：记录了主机连接数信息

**3，accounts**：记录了用户主机连接数信息

![8f900a89c6347c561fdf2122f13be562.png][]

**七：Summary 表： Summary表聚集了各个维度的统计信息包括表维度，索引维度，会话维度，语句维度和锁维度的统计信息**

**1，events\_waits\_summary\_global\_by\_event\_name**：按等待事件类型聚合，每个事件一条记录

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

CREATE TABLE `events_waits_summary_global_by_event_name` (
      `EVENT_NAME` varchar(128) NOT NULL COMMENT '事件名称',
      `COUNT_STAR` bigint(20) unsigned NOT NULL COMMENT '事件计数',
      `SUM_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '总的等待时间',
      `MIN_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '最小等待时间',
      `AVG_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '平均等待时间',
      `MAX_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '最大等待时间'
    ) ENGINE=PERFORMANCE_SCHEMA DEFAULT CHARSET=utf8

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

**2，events\_waits\_summary\_by\_instance**：按等待事件对象聚合，同一种等待事件，可能有多个实例，每个实例有不同的内存地址，因此  
event\_name+object\_instance\_begin唯一确定一条记录。

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

CREATE TABLE `events_waits_summary_by_instance` (
      `EVENT_NAME` varchar(128) NOT NULL COMMENT '事件名称',
      `OBJECT_INSTANCE_BEGIN` bigint(20) unsigned NOT NULL COMMENT '内存地址',
      `COUNT_STAR` bigint(20) unsigned NOT NULL COMMENT '事件计数',
      `SUM_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '总的等待时间',
      `MIN_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '最小等待时间',
      `AVG_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '平均等待时间',
      `MAX_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '最大等待时间'
    ) ENGINE=PERFORMANCE_SCHEMA DEFAULT CHARSET=utf8

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

**3，events\_waits\_summary\_by\_thread\_by\_event\_name**：按每个线程和事件来统计，thread\_id+event\_name唯一确定一条记录。

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

CREATE TABLE `events_waits_summary_by_thread_by_event_name` (
      `THREAD_ID` bigint(20) unsigned NOT NULL COMMENT '线程ID',
      `EVENT_NAME` varchar(128) NOT NULL COMMENT '事件名称',
      `COUNT_STAR` bigint(20) unsigned NOT NULL COMMENT '事件计数',
      `SUM_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '总的等待时间',
      `MIN_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '最小等待时间',
      `AVG_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '平均等待时间',
      `MAX_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '最大等待时间'
    ) ENGINE=PERFORMANCE_SCHEMA DEFAULT CHARSET=utf8

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

**4，events\_stages\_summary\_global\_by\_event\_name**：按事件阶段类型聚合，每个事件一条记录，表结构同上。

**5，events\_stages\_summary\_by\_thread\_by\_event\_name**：按每个线程和事件来阶段统计，表结构同上。

**6，events\_statements\_summary\_by\_digest**：按照事件的语句进行聚合。

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

CREATE TABLE `events_statements_summary_by_digest` (
      `SCHEMA_NAME` varchar(64) DEFAULT NULL COMMENT '库名',
      `DIGEST` varchar(32) DEFAULT NULL COMMENT '对SQL_TEXT做MD5产生的32位字符串。如果为consumer表中没有打开statement_digest选项，则为NULL',
      `DIGEST_TEXT` longtext COMMENT '将语句中值部分用问号代替，用于SQL语句归类。如果为consumer表中没有打开statement_digest选项，则为NULL。',
      `COUNT_STAR` bigint(20) unsigned NOT NULL COMMENT '事件计数',
      `SUM_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '总的等待时间',
      `MIN_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '最小等待时间',
      `AVG_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '平均等待时间',
      `MAX_TIMER_WAIT` bigint(20) unsigned NOT NULL COMMENT '最大等待时间',
      `SUM_LOCK_TIME` bigint(20) unsigned NOT NULL COMMENT '锁时间总时长',
      `SUM_ERRORS` bigint(20) unsigned NOT NULL COMMENT '错误数的总',
      `SUM_WARNINGS` bigint(20) unsigned NOT NULL COMMENT '警告的总数',
      `SUM_ROWS_AFFECTED` bigint(20) unsigned NOT NULL COMMENT '影响的总数目',
      `SUM_ROWS_SENT` bigint(20) unsigned NOT NULL COMMENT '返回总数目',
      `SUM_ROWS_EXAMINED` bigint(20) unsigned NOT NULL COMMENT '总的扫描的数目',
      `SUM_CREATED_TMP_DISK_TABLES` bigint(20) unsigned NOT NULL COMMENT '创建磁盘临时表的总数目',
      `SUM_CREATED_TMP_TABLES` bigint(20) unsigned NOT NULL COMMENT '创建临时表的总数目',
      `SUM_SELECT_FULL_JOIN` bigint(20) unsigned NOT NULL COMMENT '第一个表全表扫描的总数目',
      `SUM_SELECT_FULL_RANGE_JOIN` bigint(20) unsigned NOT NULL COMMENT '总的采用range方式扫描的数目',
      `SUM_SELECT_RANGE` bigint(20) unsigned NOT NULL COMMENT '第一个表采用range方式扫描的总数目',
      `SUM_SELECT_RANGE_CHECK` bigint(20) unsigned NOT NULL COMMENT '',
      `SUM_SELECT_SCAN` bigint(20) unsigned NOT NULL COMMENT '第一个表位全表扫描的总数目',
      `SUM_SORT_MERGE_PASSES` bigint(20) unsigned NOT NULL COMMENT '',
      `SUM_SORT_RANGE` bigint(20) unsigned NOT NULL COMMENT '范围排序总数',
      `SUM_SORT_ROWS` bigint(20) unsigned NOT NULL COMMENT '排序的记录总数目',
      `SUM_SORT_SCAN` bigint(20) unsigned NOT NULL COMMENT '第一个表排序扫描总数目',
      `SUM_NO_INDEX_USED` bigint(20) unsigned NOT NULL COMMENT '没有使用索引总数',
      `SUM_NO_GOOD_INDEX_USED` bigint(20) unsigned NOT NULL COMMENT '',
      `FIRST_SEEN` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00' COMMENT '第一次执行时间',
      `LAST_SEEN` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00' COMMENT '最后一次执行时间'
    ) ENGINE=PERFORMANCE_SCHEMA DEFAULT CHARSET=utf8

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

**7，events\_statements\_summary\_global\_by\_event\_name**：按照事件的语句进行聚合。表结构同上。

**8，events\_statements\_summary\_by\_thread\_by\_event\_name**：按照线程和事件的语句进行聚合，表结构同上。

**9，****file\_summary\_by\_instance**：按事件类型统计（**物理IO维度**）

**10，****file\_summary\_by\_event\_name**：具体文件统计（**物理IO维度**）

9和10一起说明：

统计IO操作：COUNT\_STAR，SUM\_TIMER\_WAIT,MIN\_TIMER\_WAIT,AVG\_TIMER\_WAIT,MAX\_TIMER\_WAIT

统计读      ：COUNT\_READ,SUM\_TIMER\_READ,MIN\_TIMER\_READ,AVG\_TIMER\_READ,MAX\_TIMER\_READ, SUM\_NUMBER\_OF\_BYTES\_READ

统计写      ：COUNT\_WRITE,SUM\_TIMER\_WRITE,MIN\_TIMER\_WRITE,AVG\_TIMER\_WRITE,MAX\_TIMER\_WRITE, SUM\_NUMBER\_OF\_BYTES\_WRITE

统计其他IO事件，比如create，delete，open，close等：COUNT\_MISC,SUM\_TIMER\_MISC,MIN\_TIMER\_MISC,AVG\_TIMER\_MISC,MAX\_TIMER\_MISC

**11，table\_io\_waits\_summary\_by\_table**：根据wait/io/table/sql/handler，聚合每个表的I/O操作（**逻辑IO纬度**）

统计IO操作：COUNT\_STAR,SUM\_TIMER\_WAIT,MIN\_TIMER\_WAIT,AVG\_TIMER\_WAIT,MAX\_TIMER\_WAIT

统计读      ：COUNT\_READ,SUM\_TIMER\_READ,MIN\_TIMER\_READ,AVG\_TIMER\_READ,MAX\_TIMER\_READ

：COUNT\_FETCH,SUM\_TIMER\_FETCH,MIN\_TIMER\_FETCH,AVG\_TIMER\_FETCH, MAX\_TIMER\_FETCH

统计写      ：COUNT\_WRITE,SUM\_TIMER\_WRITE,MIN\_TIMER\_WRITE,AVG\_TIMER\_WRITE,MAX\_TIMER\_WRITE

INSERT统计，相应的还有DELETE和UPDATE统计：COUNT\_INSERT,SUM\_TIMER\_INSERT,MIN\_TIMER\_INSERT,AVG\_TIMER\_INSERT,MAX\_TIMER\_INSERT

**12，table\_io\_waits\_summary\_by\_index\_usage：**与table\_io\_waits\_summary\_by\_table类似，按索引维度统计

**13，table\_lock\_waits\_summary\_by\_table**：聚合了表锁等待事件，包括internal lock 和 external lock

internal lock通过SQL层函数thr\_lock调用，OPERATION值为：  
read normal、read with shared locks、read high priority、read no insert、write allow write、write concurrent insert、write delayed、write low priority、write normal  
external lock则通过接口函数handler::external\_lock调用存储引擎层，OPERATION列的值为：read external、write external

**14，Connection Summaries表**：account、user、host

events\_waits\_summary\_by\_account\_by\_event\_name  
events\_waits\_summary\_by\_user\_by\_event\_name  
events\_waits\_summary\_by\_host\_by\_event\_name   
events\_stages\_summary\_by\_account\_by\_event\_name  
events\_stages\_summary\_by\_user\_by\_event\_name  
events\_stages\_summary\_by\_host\_by\_event\_name   
events\_statements\_summary\_by\_account\_by\_event\_name  
events\_statements\_summary\_by\_user\_by\_event\_name  
events\_statements\_summary\_by\_host\_by\_event\_name

**15，socket\_summary\_by\_instance、socket\_summary\_by\_event\_name**：socket聚合统计表。

**八：其他相关表**

**1，performance\_timers**：系统支持的统计时间单位

**2，threads**：监视服务端的当前运行的线程

**统计应用：**

**      关于SQL维度的统计信息主要集中在events\_statements\_summary\_by\_digest表中，通过将SQL语句抽象出digest，可以统计某类SQL语句在各个维度的统计信息**

**1，哪个SQL执行最多：**

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

zjy@performance_schema 11:36:22>SELECT SCHEMA_NAME,DIGEST_TEXT,COUNT_STAR,SUM_ROWS_SENT,SUM_ROWS_EXAMINED,FIRST_SEEN,LAST_SEEN FROM events_statements_summary_by_digest ORDER BY COUNT_STAR desc LIMIT 1\G
    *************************** 1. row ***************************
          SCHEMA_NAME: dchat
          DIGEST_TEXT: SELECT ...
           COUNT_STAR: 1161210102
        SUM_ROWS_SENT: 1161207842
    SUM_ROWS_EXAMINED: 0
           FIRST_SEEN: 2016-02-17 00:36:46
            LAST_SEEN: 2016-03-07 11:36:29

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

各个字段的注释可以看上面的表结构说明：从2月17号到3月7号该SQL执行了1161210102次。

**2，哪个SQL平均响应时间最多：**

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

zjy@performance_schema 11:36:28>SELECT SCHEMA_NAME,DIGEST_TEXT,COUNT_STAR,AVG_TIMER_WAIT,SUM_ROWS_SENT,SUM_ROWS_EXAMINED,FIRST_SEEN,LAST_SEEN FROM events_statements_summary_by_digest ORDER BY AVG_TIMER_WAIT desc LIMIT 1\G
    *************************** 1. row ***************************
          SCHEMA_NAME: dchat
          DIGEST_TEXT: SELECT ...
           COUNT_STAR: 1
       AVG_TIMER_WAIT: 273238183964000
        SUM_ROWS_SENT: 50208
    SUM_ROWS_EXAMINED: 5565651
           FIRST_SEEN: 2016-02-22 13:27:33
            LAST_SEEN: 2016-02-22 13:27:33

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

各个字段的注释可以看上面的表结构说明：从2月17号到3月7号该SQL平均响应时间273238183964000皮秒（1000000000000皮秒=1秒）

**3，哪个SQL扫描的行数最多：**

SUM\_ROWS\_EXAMINED

**4，哪个SQL使用的临时表最多：**

SUM\_CREATED\_TMP\_DISK\_TABLES、SUM\_CREATED\_TMP\_TABLES

**5，哪个SQL返回的结果集最多：**

SUM\_ROWS\_SENT

**6，哪个SQL排序数最多：**

SUM\_SORT\_ROWS

通过上述指标我们可以间接获得某类SQL的逻辑IO(SUM\_ROWS\_EXAMINED)，CPU消耗(SUM\_SORT\_ROWS)，网络带宽(SUM\_ROWS\_SENT)的对比。

通过**file\_summary\_by\_instance**表，可以获得系统运行到现在，哪个文件(表)物理IO最多，这可能意味着这个表经常需要访问磁盘IO。

**7，哪个表、文件逻辑IO最多（热数据）：**

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

zjy@performance_schema 12:16:18>SELECT FILE_NAME,EVENT_NAME,COUNT_READ,SUM_NUMBER_OF_BYTES_READ,COUNT_WRITE,SUM_NUMBER_OF_BYTES_WRITE FROM file_summary_by_instance ORDER BY SUM_NUMBER_OF_BYTES_READ+SUM_NUMBER_OF_BYTES_WRITE DESC LIMIT 2\G
    *************************** 1. row ***************************
                    FILE_NAME: /var/lib/mysql/ibdata1  #文件
                   EVENT_NAME: wait/io/file/innodb/innodb_data_file
                   COUNT_READ: 544
     SUM_NUMBER_OF_BYTES_READ: 10977280
                  COUNT_WRITE: 3700729
    SUM_NUMBER_OF_BYTES_WRITE: 1433734217728
    *************************** 2. row ***************************
                    FILE_NAME: /var/lib/mysql/dchat/fans.ibd   #表
                   EVENT_NAME: wait/io/file/innodb/innodb_data_file
                   COUNT_READ: 9370680
     SUM_NUMBER_OF_BYTES_READ: 153529188352
                  COUNT_WRITE: 67576376
    SUM_NUMBER_OF_BYTES_WRITE: 1107815432192

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

**8，哪个索引使用最多：**

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

通过**table\_io\_waits\_summary\_by\_index\_usage**表，可以获得系统运行到现在，哪个表的具体哪个索引(包括主键索引，二级索引)使用最多。

**9，哪个索引没有使用过：**

zjy@performance_schema 12:23:22>SELECT OBJECT_SCHEMA, OBJECT_NAME, INDEX_NAME FROM table_io_waits_summary_by_index_usage WHERE INDEX_NAME IS NOT NULL AND COUNT_STAR = 0 AND OBJECT_SCHEMA <> 'mysql' ORDER BY OBJECT_SCHEMA,OBJECT_NAME;

**10，哪个等待事件消耗的时间最多：**

zjy@performance_schema 12:25:22>SELECT EVENT_NAME, COUNT_STAR, SUM_TIMER_WAIT, AVG_TIMER_WAIT FROM events_waits_summary_global_by_event_name WHERE event_name != 'idle' ORDER BY SUM_TIMER_WAIT DESC LIMIT 1;

**11，类似profiling功能：**

分析具体某条SQL，该SQL在执行各个阶段的时间消耗，通过events\_statements\_xxx表和events\_stages\_xxx表，就可以达到目的。两个表通过event\_id与nesting\_event\_id关联，stages表的nesting\_event\_id为对应statements表的event\_id；针对每个stage可能出现的锁等待，一个stage会对应一个或多个wait，通过stage\_xxx表的event\_id字段与waits\_xxx表的nesting\_event\_id进行关联。如：

![961ddebeb323a10fe0623af514929fc1.png][]

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

比如分析包含count(*)的某条SQL语句，具体如下：
    
    SELECT
    EVENT_ID,
    sql_text
    FROM events_statements_history
    WHERE sql_text LIKE '%count(*)%';
    +----------+--------------------------------------+
    | EVENT_ID | sql_text |
    +----------+--------------------------------------+
    | 1690 | select count(*) from chuck.test_slow |
    +----------+--------------------------------------+
    首先得到了语句的event_id为1690，通过查找events_stages_xxx中nesting_event_id为1690的记录，可以达到目的。
    
    a.查看每个阶段的时间消耗：
    SELECT
    event_id,
    EVENT_NAME,
    SOURCE,
    TIMER_END - TIMER_START
    FROM events_stages_history_long
    WHERE NESTING_EVENT_ID = 1690;
    +----------+--------------------------------+----------------------+-----------------------+
    | event_id | EVENT_NAME | SOURCE | TIMER_END-TIMER_START |
    +----------+--------------------------------+----------------------+-----------------------+
    | 1691 | stage/sql/init | mysqld.cc:990 | 316945000 |
    | 1693 | stage/sql/checking permissions | sql_parse.cc:5776 | 26774000 |
    | 1695 | stage/sql/Opening tables | sql_base.cc:4970 | 41436934000 |
    | 2638 | stage/sql/init | sql_select.cc:1050 | 85757000 |
    | 2639 | stage/sql/System lock | lock.cc:303 | 40017000 |
    | 2643 | stage/sql/optimizing | sql_optimizer.cc:138 | 38562000 |
    | 2644 | stage/sql/statistics | sql_optimizer.cc:362 | 52845000 |
    | 2645 | stage/sql/preparing | sql_optimizer.cc:485 | 53196000 |
    | 2646 | stage/sql/executing | sql_executor.cc:112 | 3153000 |
    | 2647 | stage/sql/Sending data | sql_executor.cc:192 | 7369072089000 |
    | 4304138 | stage/sql/end | sql_select.cc:1105 | 19920000 |
    | 4304139 | stage/sql/query end | sql_parse.cc:5463 | 44721000 |
    | 4304145 | stage/sql/closing tables | sql_parse.cc:5524 | 61723000 |
    | 4304152 | stage/sql/freeing items | sql_parse.cc:6838 | 455678000 |
    | 4304155 | stage/sql/logging slow query | sql_parse.cc:2258 | 83348000 |
    | 4304159 | stage/sql/cleaning up | sql_parse.cc:2163 | 4433000 |
    +----------+--------------------------------+----------------------+-----------------------+
    通过间接关联，我们能分析得到SQL语句在每个阶段的时间消耗，时间单位以皮秒表示。这里展示的结果很类似profiling功能，有了performance schema，就不再需要profiling这个功能了。另外需要注意的是，由于默认情况下events_stages_history表中只为每个连接记录了最近10条记录，为了确保获取所有记录，需要访问events_stages_history_long表
    
    b.查看某个阶段的锁等待情况
    针对每个stage可能出现的锁等待，一个stage会对应一个或多个wait，events_waits_history_long这个表容易爆满[默认阀值10000]。由于select count(*)需要IO(逻辑IO或者物理IO)，所以在stage/sql/Sending data阶段会有io等待的统计。通过stage_xxx表的event_id字段与waits_xxx表的nesting_event_id进行关联。
    SELECT
    event_id,
    event_name,
    source,
    timer_wait,
    object_name,
    index_name,
    operation,
    nesting_event_id
    FROM events_waits_history_long
    WHERE nesting_event_id = 2647;
    +----------+---------------------------+-----------------+------------+-------------+------------+-----------+------------------+
    | event_id | event_name | source | timer_wait | object_name | index_name | operation | nesting_event_id |
    +----------+---------------------------+-----------------+------------+-------------+------------+-----------+------------------+
    | 190607 | wait/io/table/sql/handler | handler.cc:2842 | 1845888 | test_slow | idx_c1 | fetch | 2647 |
    | 190608 | wait/io/table/sql/handler | handler.cc:2842 | 1955328 | test_slow | idx_c1 | fetch | 2647 |
    | 190609 | wait/io/table/sql/handler | handler.cc:2842 | 1929792 | test_slow | idx_c1 | fetch | 2647 | 
    | 190610 | wait/io/table/sql/handler | handler.cc:2842 | 1869600 | test_slow | idx_c1 | fetch | 2647 |
    | 190611 | wait/io/table/sql/handler | handler.cc:2842 | 1922496 | test_slow | idx_c1 | fetch | 2647 |
    +----------+---------------------------+-----------------+------------+-------------+------------+-----------+------------------+
    通过上面的实验，我们知道了statement,stage,wait的三级结构，通过nesting_event_id进行关联，它表示某个事件的父event_id。
    
    (2).模拟innodb行锁等待的例子
    会话A执行语句update test_icp set y=y+1 where x=1(x为primary key)，不commit；会话B执行同样的语句update test_icp set y=y+1 where x=1，会话B堵塞，并最终报错。通过连接连接查询events_statements_history_long和events_stages_history_long，可以看到在updating阶段花了大约60s的时间。这主要因为实例上的innodb_lock_wait_timeout设置为60，等待60s后超时报错了。
    
    SELECT
    statement.EVENT_ID,
    stages.event_id,
    statement.sql_text,
    stages.event_name,
    stages.timer_wait
    FROM events_statements_history_long statement 
    join events_stages_history_long stages 
    on statement.event_id=stages.nesting_event_id 
    WHERE statement.sql_text = 'update test_icp set y=y+1 where x=1';
    +----------+----------+-------------------------------------+--------------------------------+----------------+
    | EVENT_ID | event_id | sql_text | event_name | timer_wait |
    +----------+----------+-------------------------------------+--------------------------------+----------------+
    | 5816 | 5817 | update test_icp set y=y+1 where x=1 | stage/sql/init | 195543000 |
    | 5816 | 5819 | update test_icp set y=y+1 where x=1 | stage/sql/checking permissions | 22730000 |
    | 5816 | 5821 | update test_icp set y=y+1 where x=1 | stage/sql/Opening tables | 66079000 |
    | 5816 | 5827 | update test_icp set y=y+1 where x=1 | stage/sql/init | 89116000 |
    | 5816 | 5828 | update test_icp set y=y+1 where x=1 | stage/sql/System lock | 218744000 |
    | 5816 | 5832 | update test_icp set y=y+1 where x=1 | stage/sql/updating | 6001362045000 |
    | 5816 | 5968 | update test_icp set y=y+1 where x=1 | stage/sql/end | 10435000 |
    | 5816 | 5969 | update test_icp set y=y+1 where x=1 | stage/sql/query end | 85979000 |
    | 5816 | 5983 | update test_icp set y=y+1 where x=1 | stage/sql/closing tables | 56562000 |
    | 5816 | 5990 | update test_icp set y=y+1 where x=1 | stage/sql/freeing items | 83563000 |
    | 5816 | 5992 | update test_icp set y=y+1 where x=1 | stage/sql/cleaning up | 4589000 |
    +----------+----------+-------------------------------------+--------------------------------+----------------+
    查看wait事件：
    SELECT
    event_id,
    event_name,
    source,
    timer_wait,
    object_name,
    index_name,
    operation,
    nesting_event_id
    FROM events_waits_history_long
    WHERE nesting_event_id = 5832;
    *************************** 1. row ***************************
    event_id: 5832
    event_name: wait/io/table/sql/handler
    source: handler.cc:2782
    timer_wait: 6005946156624
    object_name: test_icp
    index_name: PRIMARY
    operation: fetch
    从结果来看，waits表中记录了一个fetch等待事件，但并没有更细的innodb行锁等待事件统计。
    
    (3).模拟MDL锁等待的例子
    会话A执行一个大查询select count(*) from test_slow，会话B执行表结构变更alter table test_slow modify c2 varchar(152);通过如下语句可以得到alter语句的执行过程，重点关注“stage/sql/Waiting for table metadata lock”阶段。
    
    SELECT
    statement.EVENT_ID,
    stages.event_id,
    statement.sql_text,
    stages.event_name as stage_name,
    stages.timer_wait as stage_time
    FROM events_statements_history_long statement 
    left join events_stages_history_long stages 
    on statement.event_id=stages.nesting_event_id
    WHERE statement.sql_text = 'alter table test_slow modify c2 varchar(152)';
    +-----------+-----------+----------------------------------------------+----------------------------------------------------+---------------+
    | EVENT_ID | event_id | sql_text | stage_name | stage_time |
    +-----------+-----------+----------------------------------------------+----------------------------------------------------+---------------+
    | 326526744 | 326526745 | alter table test_slow modify c2 varchar(152) | stage/sql/init | 216662000 |
    | 326526744 | 326526747 | alter table test_slow modify c2 varchar(152) | stage/sql/checking permissions | 18183000 |
    | 326526744 | 326526748 | alter table test_slow modify c2 varchar(152) | stage/sql/checking permissions | 10294000 |
    | 326526744 | 326526750 | alter table test_slow modify c2 varchar(152) | stage/sql/init | 4783000 |
    | 326526744 | 326526751 | alter table test_slow modify c2 varchar(152) | stage/sql/Opening tables | 140172000 |
    | 326526744 | 326526760 | alter table test_slow modify c2 varchar(152) | stage/sql/setup | 157643000 |
    | 326526744 | 326526769 | alter table test_slow modify c2 varchar(152) | stage/sql/creating table | 8723217000 |
    | 326526744 | 326526803 | alter table test_slow modify c2 varchar(152) | stage/sql/After create | 257332000 |
    | 326526744 | 326526832 | alter table test_slow modify c2 varchar(152) | stage/sql/Waiting for table metadata lock | 1000181831000 |
    | 326526744 | 326526835 | alter table test_slow modify c2 varchar(152) | stage/sql/After create | 33483000 |
    | 326526744 | 326526838 | alter table test_slow modify c2 varchar(152) | stage/sql/Waiting for table metadata lock | 1000091810000 |
    | 326526744 | 326526841 | alter table test_slow modify c2 varchar(152) | stage/sql/After create | 17187000 |
    | 326526744 | 326526844 | alter table test_slow modify c2 varchar(152) | stage/sql/Waiting for table metadata lock | 1000126464000 |
    | 326526744 | 326526847 | alter table test_slow modify c2 varchar(152) | stage/sql/After create | 27472000 |
    | 326526744 | 326526850 | alter table test_slow modify c2 varchar(152) | stage/sql/Waiting for table metadata lock | 561996133000 |
    | 326526744 | 326526853 | alter table test_slow modify c2 varchar(152) | stage/sql/After create | 124876000 |
    | 326526744 | 326526877 | alter table test_slow modify c2 varchar(152) | stage/sql/System lock | 30659000 |
    | 326526744 | 326526881 | alter table test_slow modify c2 varchar(152) | stage/sql/preparing for alter table | 40246000 |
    | 326526744 | 326526889 | alter table test_slow modify c2 varchar(152) | stage/sql/altering table | 36628000 |
    | 326526744 | 326528280 | alter table test_slow modify c2 varchar(152) | stage/sql/end | 43824000 |
    | 326526744 | 326528281 | alter table test_slow modify c2 varchar(152) | stage/sql/query end | 112557000 |
    | 326526744 | 326528299 | alter table test_slow modify c2 varchar(152) | stage/sql/closing tables | 27707000 |
    | 326526744 | 326528305 | alter table test_slow modify c2 varchar(152) | stage/sql/freeing items | 201614000 |
    | 326526744 | 326528308 | alter table test_slow modify c2 varchar(152) | stage/sql/cleaning up | 3584000 |
    +-----------+-----------+----------------------------------------------+----------------------------------------------------+---------------+
    从结果可以看到，出现了多次stage/sql/Waiting for table metadata lock阶段，并且间隔1s，说明每隔1s钟会重试判断。找一个该阶段的event_id,通过nesting_event_id关联，确定到底在等待哪个wait事件。
    SELECT
    event_id,
    event_name,
    source,
    timer_wait,
    object_name,
    index_name,
    operation,
    nesting_event_id
    FROM events_waits_history_long
    WHERE nesting_event_id = 326526850;
    +-----------+---------------------------------------------------+------------------+--------------+-------------+------------+------------+------------------+
    | event_id | event_name | source | timer_wait | object_name | index_name | operation | nesting_event_id |
    +-----------+---------------------------------------------------+------------------+--------------+-------------+------------+------------+------------------+
    | 326526851 | wait/synch/cond/sql/MDL_context::COND_wait_status | mdl.cc:1327 | 562417991328 | NULL | NULL | timed_wait | 326526850 |
    | 326526852 | wait/synch/mutex/mysys/my_thread_var::mutex | sql_class.h:3481 | 733248 | NULL | NULL | lock | 326526850 |
    +-----------+---------------------------------------------------+------------------+--------------+-------------+------------+------------+------------------+
    通过结果可以知道，产生阻塞的是条件变量MDL_context::COND_wait_status，并且显示了代码的位置。

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

**总结：**

本文通过对Performance Schema数据库的介绍，主要用于收集数据库服务器性能参数：①提供进程等待的详细信息，包括锁、互斥变量、文件信息；②保存历史的事件汇总信息，为提供MySQL服务器性能做出详细的判断；③对于新增和删除监控事件点都非常容易，并可以改变mysql服务器的监控周期，例如（CYCLE、MICROSECOND）。通过该库得到数据库运行的统计信息，更好分析定位问题和完善监控信息。类似的监控还有：

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

打开标准的innodb监控：
    CREATE TABLE innodb_monitor (a INT) ENGINE=INNODB;
    打开innodb的锁监控：
    CREATE TABLE innodb_lock_monitor (a INT) ENGINE=INNODB;
    打开innodb表空间监控：
    CREATE TABLE innodb_tablespace_monitor (a INT) ENGINE=INNODB;
    打开innodb表监控：
    CREATE TABLE innodb_table_monitor (a INT) ENGINE=INNODB;

![复制代码][48304ba5e6f9fe08f3fa1abda7d326ab.png]

**参考文章：**

[https://dev.mysql.com/doc/refman/5.6/en/performance-schema.html][https_dev.mysql.com_doc_refman_5.6_en_performance-schema.html]

[http://www.cnblogs.com/cchust/p/5022148.html][http_www.cnblogs.com_cchust_p_5022148.html]

[http://www.cnblogs.com/cchust/p/5057498.html][http_www.cnblogs.com_cchust_p_5057498.html]

[http://www.cnblogs.com/cchust/p/5061131.html][http_www.cnblogs.com_cchust_p_5061131.html]

[http://mysqllover.com/?p=522][http_mysqllover.com_p_522]

[Link 1]: http://dev.mysql.com/doc/refman/5.6/en/performance-schema.html
[48304ba5e6f9fe08f3fa1abda7d326ab.png]: /images/20221024/4c19c6adf0f6411ba0c545f9957f1e2b.png
[8f900a89c6347c561fdf2122f13be562.png]: /images/20221024/39177e664b7e4fb291fe08cdc483868d.png
[961ddebeb323a10fe0623af514929fc1.png]: /images/20221024/756da8d41b974a0d8f76a74b25924ef2.png
[https_dev.mysql.com_doc_refman_5.6_en_performance-schema.html]: https://dev.mysql.com/doc/refman/5.6/en/performance-schema.html
[http_www.cnblogs.com_cchust_p_5022148.html]: http://www.cnblogs.com/cchust/p/5022148.html
[http_www.cnblogs.com_cchust_p_5057498.html]: http://www.cnblogs.com/cchust/p/5057498.html
[http_www.cnblogs.com_cchust_p_5061131.html]: http://www.cnblogs.com/cchust/p/5061131.html
[http_mysqllover.com_p_522]: http://mysqllover.com/?p=522&utm_source=tuicool&utm_medium=referral