在上篇文章《MySQL表結構變動,不可不知的Metadata Lock》中,咱們介紹了MDL引入的背景,及基本概念,從「道」的層面知道了什麼是MDL。下面就從「術」的層面看看如何定位MDL的相關問題。mysql
在MySQL 5.7中,針對MDL,引入了一張新表performance_schema.metadata_locks,該表可對外展現MDL的相關信息,包括其做用對象,類型及持有等待狀況。sql
開啓MDL的instrumentsession
可是相關instrument並無開啓(MySQL 8.0是默認開啓的),其可經過以下兩種方式開啓,測試
臨時生效spa
修改performance_schema.setup_instrume nts表,但實例重啓後,又會恢復爲默認值。線程
UPDATE performance_schema.setup_instruments SET ENABLED = 'YES', TIMED = 'YES' WHERE NAME = 'wait/lock/metadata/sql/mdl';
[mysqld] performance-schema-instrument='wait/lock/metadata/sql/mdl=ON'
下面結合一個簡單的Demo,來看看在MySQL 5.7中如何定位DDL操做的阻塞問題。code
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 | +------+------+ 1 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 | +----+------+-----------+------+---------+------+---------------------------------+------------------------------------+ 3 rows in set (0.00 sec) session3> select object_type,object_schema,object_name,lock_type,lock_duration,lock_status,owner_thread_id from performance_schema.metadata_locks; +-------------+--------------------+----------------+---------------------+---------------+-------------+-----------------+ | object_type | object_schema | object_name | lock_type | lock_duration | lock_status | owner_thread_id | +-------------+--------------------+----------------+---------------------+---------------+-------------+-----------------+ | TABLE | slowtech | t1 | SHARED_WRITE | TRANSACTION | GRANTED | 27 | | GLOBAL | NULL | NULL | INTENTION_EXCLUSIVE | STATEMENT | GRANTED | 29 | | SCHEMA | slowtech | NULL | INTENTION_EXCLUSIVE | TRANSACTION | GRANTED | 29 | | TABLE | slowtech | t1 | SHARED_UPGRADABLE | TRANSACTION | GRANTED | 29 | | TABLE | slowtech | t1 | EXCLUSIVE | TRANSACTION | PENDING | 29 | | TABLE | performance_schema | metadata_locks | SHARED_READ | TRANSACTION | GRANTED | 28 | +-------------+--------------------+----------------+---------------------+---------------+-------------+-----------------+ 6 rows in set (0.00 sec)
這裏,重點關注lock_status,"PENDING"表明線程在等待MDL,而"GRANTED"則表明線程持有MDL。orm
如何找出引發阻塞的會話對象
結合owner_thread_id,能夠可到,是29號線程在等待27號線程的MDL,此時,可kill掉52號線程。blog
但須要注意的是,owner_thread_id給出的只是線程ID,並非show processlist中的ID。若是要查找線程對應的processlist id,需查詢performance_schema.threads表。
session3> select * from performance_schema.threads where thread_id in (27,29)\G *************************** 1. row *************************** THREAD_ID: 27 NAME: thread/sql/one_connection TYPE: FOREGROUND PROCESSLIST_ID: 2 PROCESSLIST_USER: root PROCESSLIST_HOST: localhost PROCESSLIST_DB: NULL PROCESSLIST_COMMAND: Sleep PROCESSLIST_TIME: 214 PROCESSLIST_STATE: NULL PROCESSLIST_INFO: NULL PARENT_THREAD_ID: 1 ROLE: NULL INSTRUMENTED: YES HISTORY: YES CONNECTION_TYPE: Socket THREAD_OS_ID: 9800 *************************** 2. row *************************** THREAD_ID: 29 NAME: thread/sql/one_connection TYPE: FOREGROUND PROCESSLIST_ID: 4 PROCESSLIST_USER: root PROCESSLIST_HOST: localhost PROCESSLIST_DB: NULL PROCESSLIST_COMMAND: Query PROCESSLIST_TIME: 172 PROCESSLIST_STATE: Waiting for table metadata lock PROCESSLIST_INFO: alter table slowtech.t1 add c1 int PARENT_THREAD_ID: 1 ROLE: NULL INSTRUMENTED: YES HISTORY: YES CONNECTION_TYPE: Socket THREAD_OS_ID: 9907 2 rows in set (0.00 sec)
將這兩張表結合,借鑑sys.innodb_lock _waits的輸出,實際上咱們也能夠直觀地呈現MDL的等待關係。
SELECT a.OBJECT_SCHEMA AS locked_schema, a.OBJECT_NAME AS locked_table, "Metadata Lock" AS locked_type, c.PROCESSLIST_ID AS waiting_processlist_id, c.PROCESSLIST_TIME AS waiting_age, c.PROCESSLIST_INFO AS waiting_query, c.PROCESSLIST_STATE AS waiting_state, d.PROCESSLIST_ID AS blocking_processlist_id, d.PROCESSLIST_TIME AS blocking_age, d.PROCESSLIST_INFO AS blocking_query, concat('KILL ', d.PROCESSLIST_ID) AS sql_kill_blocking_connection FROM performance_schema.metadata_locks a JOIN performance_schema.metadata_locks b ON a.OBJECT_SCHEMA = b.OBJECT_SCHEMA AND a.OBJECT_NAME = b.OBJECT_NAME AND a.lock_status = 'PENDING' AND b.lock_status = 'GRANTED' AND a.OWNER_THREAD_ID <> b.OWNER_THREAD_ID AND a.lock_type = 'EXCLUSIVE' JOIN performance_schema.threads c ON a.OWNER_THREAD_ID = c.THREAD_ID JOIN performance_schema.threads d ON b.OWNER_THREAD_ID = d.THREAD_ID\G *************************** 1. row *************************** locked_schema: slowtech locked_table: t1 locked_type: Metadata Lock waiting_processlist_id: 4 waiting_age: 259 waiting_query: alter table slowtech.t1 add c1 int waiting_state: Waiting for table metadata lock blocking_processlist_id: 2 blocking_age: 301 blocking_query: NULL sql_kill_blocking_connection: KILL 2 1 row in set (0.00 sec)
輸出一目瞭然,DDL操做若是要得到MDL,執行kill 2便可。
實際上,MySQL 5.7在sys庫中也集成了相似功能,一樣的場景,其輸出以下,
mysql> select * from sys.schema_table_lock_waits\G *************************** 1. row *************************** object_schema: slowtech object_name: t1 waiting_thread_id: 29 waiting_pid: 4 waiting_account: root@localhost waiting_lock_type: EXCLUSIVE waiting_lock_duration: TRANSACTION waiting_query: alter table slowtech.t1 add c1 int waiting_query_secs: 446 waiting_query_rows_affected: 0 waiting_query_rows_examined: 0 blocking_thread_id: 27 blocking_pid: 2 blocking_account: root@localhost blocking_lock_type: SHARED_READ blocking_lock_duration: TRANSACTION sql_kill_blocking_query: KILL QUERY 2 sql_kill_blocking_connection: KILL 2 *************************** 2. row *************************** object_schema: slowtech object_name: t1 waiting_thread_id: 29 waiting_pid: 4 waiting_account: root@localhost waiting_lock_type: EXCLUSIVE waiting_lock_duration: TRANSACTION waiting_query: alter table slowtech.t1 add c1 int waiting_query_secs: 446 waiting_query_rows_affected: 0 waiting_query_rows_examined: 0 blocking_thread_id: 29 blocking_pid: 4 blocking_account: root@localhost blocking_lock_type: SHARED_UPGRADABLE blocking_lock_duration: TRANSACTION sql_kill_blocking_query: KILL QUERY 4 sql_kill_blocking_connection: KILL 4 2 rows in set (0.00 sec)
具體分析下官方的輸出,
只有一個alter table操做,卻產生了兩條記錄,並且兩條記錄的kill對象居然還不同,對錶結構不熟悉及不仔細看記錄內容的話,不免會kill錯對象。
不只如此,若是有N個查詢被DDL操做堵塞,則會產生N*2條記錄。在阻塞操做較多的狀況下,這N*2條記錄徹底是個噪音。
而以前的SQL,不管有多少操做被阻塞,一個alter table操做,就只會輸出一條記錄。
但上面這個SQL也有遺憾,其blocking_query爲NULL,而在會話1中,其明明已經執行了三個SQL。
這個與performance_schema.threads(相似於show processlist)有關,其只會輸出當前正在運行的SQL,對於已經執行過的,其實是沒辦法看到。
但在線上,kill是一個須要謹慎的操做,畢竟你很難知道kill的是否是業務關鍵操做?又或者,是個批量update操做?那麼,有沒有辦法抓到該事務以前的操做呢?
答案,有。
即Performance Schema中記錄Statement Event(操做事件)的表,具體包括events_statements_current,events_statements_history,events_statements_history_long,prepared_statements_instances。
經常使用的是前面三個。
三者的表結構徹底一致,其中,events_statements_history又包含了events_statements_current的操做,因此咱們這裏會使用events_statements_history。
終極SQL以下,
SELECT locked_schema, locked_table, locked_type, waiting_processlist_id, waiting_age, waiting_query, waiting_state, blocking_processlist_id, blocking_age, substring_index(sql_text,"transaction_begin;" ,-1) AS blocking_query, sql_kill_blocking_connection FROM ( SELECT b.OWNER_THREAD_ID AS granted_thread_id, a.OBJECT_SCHEMA AS locked_schema, a.OBJECT_NAME AS locked_table, "Metadata Lock" AS locked_type, c.PROCESSLIST_ID AS waiting_processlist_id, c.PROCESSLIST_TIME AS waiting_age, c.PROCESSLIST_INFO AS waiting_query, c.PROCESSLIST_STATE AS waiting_state, d.PROCESSLIST_ID AS blocking_processlist_id, d.PROCESSLIST_TIME AS blocking_age, d.PROCESSLIST_INFO AS blocking_query, concat('KILL ', d.PROCESSLIST_ID) AS sql_kill_blocking_connection FROM performance_schema.metadata_locks a JOIN performance_schema.metadata_locks b ON a.OBJECT_SCHEMA = b.OBJECT_SCHEMA AND a.OBJECT_NAME = b.OBJECT_NAME AND a.lock_status = 'PENDING' AND b.lock_status = 'GRANTED' AND a.OWNER_THREAD_ID <> b.OWNER_THREAD_ID AND a.lock_type = 'EXCLUSIVE' JOIN performance_schema.threads c ON a.OWNER_THREAD_ID = c.THREAD_ID JOIN performance_schema.threads d ON b.OWNER_THREAD_ID = d.THREAD_ID ) t1, ( 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 ) t2 WHERE t1.granted_thread_id = t2.thread_id \G *************************** 1. row *************************** locked_schema: slowtech locked_table: t1 locked_type: Metadata Lock waiting_processlist_id: 4 waiting_age: 294 waiting_query: alter table slowtech.t1 add c1 int waiting_state: Waiting for table metadata lock blocking_processlist_id: 2 blocking_age: 336 blocking_query: delete from slowtech.t1 where id=2;select * from slowtech.t1;update slowtech.t1 set name='c' where id=1 sql_kill_blocking_connection: KILL 2 1 row in set, 1 warning (0.00 sec)
從上面的輸出能夠看到,blocking_query中包含了會話1中當前事務的全部操做,按執行的前後順序輸出。
須要注意的是,默認狀況下,events_statements_history只會保留每一個線程最近的10個操做,若是事務中進行的操做較多,實際上也是沒辦法抓全的。
Anyway, it is better than nothing!