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解析MySQL8.0新特性——事務性數據字典與原子DDL

瀏覽:5日期:2023-10-12 14:14:46

前言

事務性數據字典與原子DDL,是MySQL 8.0推出的兩個非常重要的新特性,之所以將這兩個新特性放在一起,是因為兩者密切相關,事務性數據字典是前提,原子DDL是一個重要應用場景。

MySQL 8.0之前的數據字典

MySQL 8.0之前的數據字典,主要由以下三部分組成:

(1)操作系統文件

db.opt:數據庫元數據信息frm:表元數據信息par:表分區元數據信息TRN/TRG:觸發器元數據信息ddl_log.log:DDL過程中產生的元數據信息

(2)mysql庫下的非InnoDB系統表

mysql> select table_schema,table_name,table_type,engine from information_schema.tables where table_schema=’mysql’ and engine<>’InnoDB’;+--------------+------------------+------------+--------+| table_schema | table_name | table_type | engine |+--------------+------------------+------------+--------+| mysql | columns_priv | BASE TABLE | MyISAM || mysql | db| BASE TABLE | MyISAM || mysql | event | BASE TABLE | MyISAM || mysql | func | BASE TABLE | MyISAM || mysql | general_log | BASE TABLE | CSV || mysql | ndb_binlog_index | BASE TABLE | MyISAM || mysql | proc | BASE TABLE | MyISAM || mysql | procs_priv | BASE TABLE | MyISAM || mysql | proxies_priv | BASE TABLE | MyISAM || mysql | slow_log | BASE TABLE | CSV || mysql | tables_priv | BASE TABLE | MyISAM || mysql | user | BASE TABLE | MyISAM |+--------------+------------------+------------+--------+12 rows in set (0.00 sec)

(3)mysql庫下的InnoDB系統表

mysql> select table_schema,table_name,table_type,engine from information_schema.tables where table_schema=’mysql’ and engine=’InnoDB’;+--------------+---------------------------+------------+--------+| table_schema | table_name| table_type | engine |+--------------+---------------------------+------------+--------+| mysql | engine_cost| BASE TABLE | InnoDB || mysql | gtid_executed | BASE TABLE | InnoDB || mysql | help_category | BASE TABLE | InnoDB || mysql | help_keyword | BASE TABLE | InnoDB || mysql | help_relation | BASE TABLE | InnoDB || mysql | help_topic| BASE TABLE | InnoDB || mysql | innodb_index_stats | BASE TABLE | InnoDB || mysql | innodb_table_stats | BASE TABLE | InnoDB || mysql | plugin | BASE TABLE | InnoDB || mysql | server_cost| BASE TABLE | InnoDB || mysql | servers | BASE TABLE | InnoDB || mysql | slave_master_info | BASE TABLE | InnoDB || mysql | slave_relay_log_info | BASE TABLE | InnoDB || mysql | slave_worker_info | BASE TABLE | InnoDB || mysql | time_zone | BASE TABLE | InnoDB || mysql | time_zone_leap_second | BASE TABLE | InnoDB || mysql | time_zone_name | BASE TABLE | InnoDB || mysql | time_zone_transition | BASE TABLE | InnoDB || mysql | time_zone_transition_type | BASE TABLE | InnoDB |+--------------+---------------------------+------------+--------+19 rows in set (0.00 sec)

我們可以看到,數據字典被分布到多個地方,一方面不利于元數據統一管理,另一方面容易造成數據的不一致(由于操作系統文件、非InnoDB系統表均不支持事務,執行DDL操作無法保證ACID)。

MySQL 8.0的數據字典

為了解決上述問題,MySQL 8.0將數據字典統一改進為InnoDB存儲引擎存儲,具體分為兩部分:

(1)數據字典表:存放最重要的元數據信息,位于mysql庫下,存儲在mysql共享表空間(mysql.ibd)

(2)其他系統表:存放輔助的元數據信息,位于mysql庫下,存儲在mysql共享表空間(mysql.ibd)

數據字典表

數據字典表是不可見,既不能通過select訪問,也不會出現在show tables或information.schema.tables結果里;嘗試訪問會報以下錯誤:

mysql> select * from mysql.tables limit 10;ERROR 3554 (HY000): Access to data dictionary table ’mysql.tables’ is rejected.

不過,在debug模式下,是可以訪問這些隱藏的數據字典表的;我們重新編譯安裝(過程略),并以debug模式啟動進程,再次嘗試訪問,結果如下:

mysql> SET SESSION debug=’+d,skip_dd_table_access_check’;mysql> SELECT name, schema_id, hidden, type FROM mysql.tables where schema_id=1 AND hidden=’System’;+------------------------------+-----------+--------+------------+| name | schema_id | hidden | type |+------------------------------+-----------+--------+------------+| catalogs | 1 | System | BASE TABLE || character_sets| 1 | System | BASE TABLE || check_constraints | 1 | System | BASE TABLE || collations | 1 | System | BASE TABLE || column_statistics | 1 | System | BASE TABLE || column_type_elements | 1 | System | BASE TABLE || columns | 1 | System | BASE TABLE || dd_properties| 1 | System | BASE TABLE || events | 1 | System | BASE TABLE || foreign_key_column_usage | 1 | System | BASE TABLE || foreign_keys | 1 | System | BASE TABLE || index_column_usage | 1 | System | BASE TABLE || index_partitions | 1 | System | BASE TABLE || index_stats | 1 | System | BASE TABLE || indexes | 1 | System | BASE TABLE || innodb_ddl_log| 1 | System | BASE TABLE || innodb_dynamic_metadata | 1 | System | BASE TABLE || parameter_type_elements | 1 | System | BASE TABLE || parameters | 1 | System | BASE TABLE || resource_groups | 1 | System | BASE TABLE || routines | 1 | System | BASE TABLE || schemata | 1 | System | BASE TABLE || st_spatial_reference_systems | 1 | System | BASE TABLE || table_partition_values | 1 | System | BASE TABLE || table_partitions | 1 | System | BASE TABLE || table_stats | 1 | System | BASE TABLE || tables | 1 | System | BASE TABLE || tablespace_files | 1 | System | BASE TABLE || tablespaces | 1 | System | BASE TABLE || triggers | 1 | System | BASE TABLE || view_routine_usage | 1 | System | BASE TABLE || view_table_usage | 1 | System | BASE TABLE |+------------------------------+-----------+--------+------------+32 rows in set (0.01 sec)

其他系統表

其他系統表,可以通過show tables或information_schema.tables查看,均以改進為InnoDB存儲引擎(general_log、slow_log例外,這兩張表并未記錄元數據信息,只是用于記錄日志):

mysql> select table_schema,table_name,engine from information_schema.tables where table_schema=’mysql’;+--------------+---------------------------+--------+| TABLE_SCHEMA | TABLE_NAME| ENGINE |+--------------+---------------------------+--------+| mysql | columns_priv | InnoDB || mysql | component | InnoDB || mysql | db | InnoDB || mysql | default_roles | InnoDB || mysql | engine_cost| InnoDB || mysql | func | InnoDB || mysql | general_log| CSV || mysql | global_grants | InnoDB || mysql | gtid_executed | InnoDB || mysql | help_category | InnoDB || mysql | help_keyword | InnoDB || mysql | help_relation | InnoDB || mysql | help_topic| InnoDB || mysql | innodb_index_stats | InnoDB || mysql | innodb_table_stats | InnoDB || mysql | password_history | InnoDB || mysql | plugin | InnoDB || mysql | procs_priv| InnoDB || mysql | proxies_priv | InnoDB || mysql | role_edges| InnoDB || mysql | server_cost| InnoDB || mysql | servers | InnoDB || mysql | slave_master_info | InnoDB || mysql | slave_relay_log_info | InnoDB || mysql | slave_worker_info | InnoDB || mysql | slow_log | CSV || mysql | tables_priv| InnoDB || mysql | time_zone | InnoDB || mysql | time_zone_leap_second | InnoDB || mysql | time_zone_name | InnoDB || mysql | time_zone_transition | InnoDB || mysql | time_zone_transition_type | InnoDB || mysql | user | InnoDB |+--------------+---------------------------+--------+33 rows in set (0.00 sec)

數據字典視圖

剛剛提到,數據字典表只能在debug模式下訪問,那么在生產環境中,我們應該怎么去獲取元數據信息呢?答案是通過information_schema庫下的數據字典視圖。和Oracle數據庫的設計理念一樣,將元數據信息存放在基表中(x$、$),然后通過視圖(v$、dba_/all_/user_)的方式提供給用戶查詢;MySQL數據庫也是如此,將元數據信息存放在mysql庫的數據字典表中隱藏起來,然后提供information_schema庫視圖給用戶查詢:

mysql> select table_schema,table_name,table_type,engine from information_schema.tables where table_schema=’information_schema’; +--------------------+---------------------------------------+-------------+--------+| TABLE_SCHEMA | TABLE_NAME | TABLE_TYPE | ENGINE |+--------------------+---------------------------------------+-------------+--------+| information_schema | ADMINISTRABLE_ROLE_AUTHORIZATIONS | SYSTEM VIEW | NULL || information_schema | APPLICABLE_ROLES | SYSTEM VIEW | NULL || information_schema | CHARACTER_SETS | SYSTEM VIEW | NULL || information_schema | CHECK_CONSTRAINTS | SYSTEM VIEW | NULL || information_schema | COLLATION_CHARACTER_SET_APPLICABILITY | SYSTEM VIEW | NULL || information_schema | COLLATIONS | SYSTEM VIEW | NULL || information_schema | COLUMN_PRIVILEGES | SYSTEM VIEW | NULL || information_schema | COLUMN_STATISTICS | SYSTEM VIEW | NULL || information_schema | COLUMNS| SYSTEM VIEW | NULL || information_schema | ENABLED_ROLES | SYSTEM VIEW | NULL || information_schema | ENGINES| SYSTEM VIEW | NULL || information_schema | EVENTS| SYSTEM VIEW | NULL || information_schema | FILES | SYSTEM VIEW | NULL || information_schema | INNODB_BUFFER_PAGE | SYSTEM VIEW | NULL || information_schema | INNODB_BUFFER_PAGE_LRU| SYSTEM VIEW | NULL || information_schema | INNODB_BUFFER_POOL_STATS | SYSTEM VIEW | NULL || information_schema | INNODB_CACHED_INDEXES | SYSTEM VIEW | NULL || information_schema | INNODB_CMP | SYSTEM VIEW | NULL || information_schema | INNODB_CMP_PER_INDEX | SYSTEM VIEW | NULL || information_schema | INNODB_CMP_PER_INDEX_RESET | SYSTEM VIEW | NULL || information_schema | INNODB_CMP_RESET | SYSTEM VIEW | NULL || information_schema | INNODB_CMPMEM | SYSTEM VIEW | NULL || information_schema | INNODB_CMPMEM_RESET | SYSTEM VIEW | NULL || information_schema | INNODB_COLUMNS | SYSTEM VIEW | NULL || information_schema | INNODB_DATAFILES | SYSTEM VIEW | NULL || information_schema | INNODB_FIELDS | SYSTEM VIEW | NULL || information_schema | INNODB_FOREIGN | SYSTEM VIEW | NULL || information_schema | INNODB_FOREIGN_COLS | SYSTEM VIEW | NULL || information_schema | INNODB_FT_BEING_DELETED| SYSTEM VIEW | NULL || information_schema | INNODB_FT_CONFIG | SYSTEM VIEW | NULL || information_schema | INNODB_FT_DEFAULT_STOPWORD | SYSTEM VIEW | NULL || information_schema | INNODB_FT_DELETED | SYSTEM VIEW | NULL || information_schema | INNODB_FT_INDEX_CACHE | SYSTEM VIEW | NULL || information_schema | INNODB_FT_INDEX_TABLE | SYSTEM VIEW | NULL || information_schema | INNODB_INDEXES | SYSTEM VIEW | NULL || information_schema | INNODB_METRICS | SYSTEM VIEW | NULL || information_schema | INNODB_SESSION_TEMP_TABLESPACES | SYSTEM VIEW | NULL || information_schema | INNODB_TABLES | SYSTEM VIEW | NULL || information_schema | INNODB_TABLESPACES | SYSTEM VIEW | NULL || information_schema | INNODB_TABLESPACES_BRIEF | SYSTEM VIEW | NULL || information_schema | INNODB_TABLESTATS | SYSTEM VIEW | NULL || information_schema | INNODB_TEMP_TABLE_INFO| SYSTEM VIEW | NULL || information_schema | INNODB_TRX | SYSTEM VIEW | NULL || information_schema | INNODB_VIRTUAL | SYSTEM VIEW | NULL || information_schema | KEY_COLUMN_USAGE | SYSTEM VIEW | NULL || information_schema | KEYWORDS | SYSTEM VIEW | NULL || information_schema | OPTIMIZER_TRACE | SYSTEM VIEW | NULL || information_schema | PARAMETERS | SYSTEM VIEW | NULL || information_schema | PARTITIONS | SYSTEM VIEW | NULL || information_schema | PLUGINS| SYSTEM VIEW | NULL || information_schema | PROCESSLIST | SYSTEM VIEW | NULL || information_schema | PROFILING | SYSTEM VIEW | NULL || information_schema | REFERENTIAL_CONSTRAINTS| SYSTEM VIEW | NULL || information_schema | RESOURCE_GROUPS | SYSTEM VIEW | NULL || information_schema | ROLE_COLUMN_GRANTS | SYSTEM VIEW | NULL || information_schema | ROLE_ROUTINE_GRANTS | SYSTEM VIEW | NULL || information_schema | ROLE_TABLE_GRANTS | SYSTEM VIEW | NULL || information_schema | ROUTINES | SYSTEM VIEW | NULL || information_schema | SCHEMA_PRIVILEGES | SYSTEM VIEW | NULL || information_schema | SCHEMATA | SYSTEM VIEW | NULL || information_schema | ST_GEOMETRY_COLUMNS | SYSTEM VIEW | NULL || information_schema | ST_SPATIAL_REFERENCE_SYSTEMS | SYSTEM VIEW | NULL || information_schema | ST_UNITS_OF_MEASURE | SYSTEM VIEW | NULL || information_schema | STATISTICS | SYSTEM VIEW | NULL || information_schema | TABLE_CONSTRAINTS | SYSTEM VIEW | NULL || information_schema | TABLE_PRIVILEGES | SYSTEM VIEW | NULL || information_schema | TABLES| SYSTEM VIEW | NULL || information_schema | TABLESPACES | SYSTEM VIEW | NULL || information_schema | TRIGGERS | SYSTEM VIEW | NULL || information_schema | USER_PRIVILEGES | SYSTEM VIEW | NULL || information_schema | VIEW_ROUTINE_USAGE | SYSTEM VIEW | NULL || information_schema | VIEW_TABLE_USAGE | SYSTEM VIEW | NULL || information_schema | VIEWS | SYSTEM VIEW | NULL |+--------------------+---------------------------------------+-------------+--------+73 rows in set (0.00 sec)mysql> show create table information_schema.tablesG*************************** 1. row ***************************View: TABLES Create View: CREATE ALGORITHM=UNDEFINED DEFINER=`mysql.infoschema`@`localhost` SQL SECURITY DEFINER VIEW `information_schema`.`TABLES` AS select (`cat`.`name` collate utf8_tolower_ci) AS `TABLE_CATALOG`,(`sch`.`name` collate utf8_tolower_ci) AS `TABLE_SCHEMA`,(`tbl`.`name` collate utf8_tolower_ci) AS `TABLE_NAME`,`tbl`.`type` AS `TABLE_TYPE`,if((`tbl`.`type` = ’BASE TABLE’),`tbl`.`engine`,NULL) AS `ENGINE`,if((`tbl`.`type` = ’VIEW’),NULL,10) AS `VERSION`,`tbl`.`row_format` AS `ROW_FORMAT`,if((`tbl`.`type` = ’VIEW’),NULL,internal_table_rows(`sch`.`name`,`tbl`.`name`,if((`tbl`.`partition_type` is null),`tbl`.`engine`,’’),`tbl`.`se_private_id`,(`tbl`.`hidden` <> ’Visible’),`ts`.`se_private_data`,coalesce(`stat`.`table_rows`,0),coalesce(cast(`stat`.`cached_time` as unsigned),0))) AS `TABLE_ROWS`,if((`tbl`.`type` = ’VIEW’),NULL,internal_avg_row_length(`sch`.`name`,`tbl`.`name`,if((`tbl`.`partition_type` is null),`tbl`.`engine`,’’),`tbl`.`se_private_id`,(`tbl`.`hidden` <> ’Visible’),`ts`.`se_private_data`,coalesce(`stat`.`avg_row_length`,0),coalesce(cast(`stat`.`cached_time` as unsigned),0))) AS `AVG_ROW_LENGTH`,if((`tbl`.`type` = ’VIEW’),NULL,internal_data_length(`sch`.`name`,`tbl`.`name`,if((`tbl`.`partition_type` is null),`tbl`.`engine`,’’),`tbl`.`se_private_id`,(`tbl`.`hidden` <> ’Visible’),`ts`.`se_private_data`,coalesce(`stat`.`data_length`,0),coalesce(cast(`stat`.`cached_time` as unsigned),0))) AS `DATA_LENGTH`,if((`tbl`.`type` = ’VIEW’),NULL,internal_max_data_length(`sch`.`name`,`tbl`.`name`,if((`tbl`.`partition_type` is null),`tbl`.`engine`,’’),`tbl`.`se_private_id`,(`tbl`.`hidden` <> ’Visible’),`ts`.`se_private_data`,coalesce(`stat`.`max_data_length`,0),coalesce(cast(`stat`.`cached_time` as unsigned),0))) AS `MAX_DATA_LENGTH`,if((`tbl`.`type` = ’VIEW’),NULL,internal_index_length(`sch`.`name`,`tbl`.`name`,if((`tbl`.`partition_type` is null),`tbl`.`engine`,’’),`tbl`.`se_private_id`,(`tbl`.`hidden` <> ’Visible’),`ts`.`se_private_data`,coalesce(`stat`.`index_length`,0),coalesce(cast(`stat`.`cached_time` as unsigned),0))) AS `INDEX_LENGTH`,if((`tbl`.`type` = ’VIEW’),NULL,internal_data_free(`sch`.`name`,`tbl`.`name`,if((`tbl`.`partition_type` is null),`tbl`.`engine`,’’),`tbl`.`se_private_id`,(`tbl`.`hidden` <> ’Visible’),`ts`.`se_private_data`,coalesce(`stat`.`data_free`,0),coalesce(cast(`stat`.`cached_time` as unsigned),0))) AS `DATA_FREE`,if((`tbl`.`type` = ’VIEW’),NULL,internal_auto_increment(`sch`.`name`,`tbl`.`name`,if((`tbl`.`partition_type` is null),`tbl`.`engine`,’’),`tbl`.`se_private_id`,(`tbl`.`hidden` <> ’Visible’),`ts`.`se_private_data`,coalesce(`stat`.`auto_increment`,0),coalesce(cast(`stat`.`cached_time` as unsigned),0),`tbl`.`se_private_data`)) AS `AUTO_INCREMENT`,`tbl`.`created` AS `CREATE_TIME`,if((`tbl`.`type` = ’VIEW’),NULL,internal_update_time(`sch`.`name`,`tbl`.`name`,if((`tbl`.`partition_type` is null),`tbl`.`engine`,’’),`tbl`.`se_private_id`,(`tbl`.`hidden` <> ’Visible’),`ts`.`se_private_data`,coalesce(cast(`stat`.`update_time` as unsigned),0),coalesce(cast(`stat`.`cached_time` as unsigned),0))) AS `UPDATE_TIME`,if((`tbl`.`type` = ’VIEW’),NULL,internal_check_time(`sch`.`name`,`tbl`.`name`,if((`tbl`.`partition_type` is null),`tbl`.`engine`,’’),`tbl`.`se_private_id`,(`tbl`.`hidden` <> ’Visible’),`ts`.`se_private_data`,coalesce(cast(`stat`.`check_time` as unsigned),0),coalesce(cast(`stat`.`cached_time` as unsigned),0))) AS `CHECK_TIME`,`col`.`name` AS `TABLE_COLLATION`,if((`tbl`.`type` = ’VIEW’),NULL,internal_checksum(`sch`.`name`,`tbl`.`name`,if((`tbl`.`partition_type` is null),`tbl`.`engine`,’’),`tbl`.`se_private_id`,(`tbl`.`hidden` <> ’Visible’),`ts`.`se_private_data`,coalesce(`stat`.`checksum`,0),coalesce(cast(`stat`.`cached_time` as unsigned),0))) AS `CHECKSUM`,if((`tbl`.`type` = ’VIEW’),NULL,get_dd_create_options(`tbl`.`options`,if((ifnull(`tbl`.`partition_expression`,’NOT_PART_TBL’) = ’NOT_PART_TBL’),0,1),if((`sch`.`default_encryption` = ’YES’),1,0))) AS `CREATE_OPTIONS`,internal_get_comment_or_error(`sch`.`name`,`tbl`.`name`,`tbl`.`type`,`tbl`.`options`,`tbl`.`comment`) AS `TABLE_COMMENT` from (((((`mysql`.`tables` `tbl` join `mysql`.`schemata` `sch` on((`tbl`.`schema_id` = `sch`.`id`))) join `mysql`.`catalogs` `cat` on((`cat`.`id` = `sch`.`catalog_id`))) left join `mysql`.`collations` `col` on((`tbl`.`collation_id` = `col`.`id`))) left join `mysql`.`tablespaces` `ts` on((`tbl`.`tablespace_id` = `ts`.`id`))) left join `mysql`.`table_stats` `stat` on(((`tbl`.`name` = `stat`.`table_name`) and (`sch`.`name` = `stat`.`schema_name`)))) where ((0 <> can_access_table(`sch`.`name`,`tbl`.`name`)) and (0 <> is_visible_dd_object(`tbl`.`hidden`)))character_set_client: utf8collation_connection: utf8_general_ci1 row in set (0.00 sec)

數據字典緩存

為了減少磁盤IO,提高訪問效率,MySQL 8.0引入了數據字典緩存。數據字典緩存是一塊全局共享區域,通過LRU算法進行內存管理,具體包括:

tablespace definition cache partition:用于緩存表空間定義對象;大小限制由參數tablespace_definition_cache決定。schema definition cache partition:用于緩存模式定義對象;大小限制由參數schema_definition_cache決定。table definition cache partition:用于緩存表定義對象;大小限制由參數max_connections決定。stored program definition cache partition:用于緩存存儲過程定義對象;大小限制由參數stored_program_definition_cache決定。character set definition cache partition:用于緩存字符集定義對象;硬編碼限制256個。collation definition cache partition:用于緩存排序規則定義對象;硬編碼限制256個。

原子DDL

首先,了解一下什么是原子性?原子性是指,一個事務執行要么全部成功,要么全部失敗。

在MySQL 8.0之前,由于不支持原子DDL,在服務進程異常掛掉或服務器異常宕機的情況下,有可能會導致數據字典、存儲引擎結構、二進制日志之間的不一致。

在MySQL 8.0中,數據字典均被改造成InnoDB存儲引擎表,原子DDL也被引入進來。原子DDL是將數據字典更新、存儲引擎操作、二進制日志寫入放到同一個事務里執行,要么全部成功提交,要么全部失敗回滾。

接下來,我們還是先通過一個例子,來了解一下原子DDL。在這個例子中,DROP TABLE t1, t2屬于同一個事務;在5.7版本中,出現了一個事務部分、成功部分失敗的情況,即DROP TABLE t1成功、DROP TABLE t2失敗;但在8.0版本中,因為DROP TABLE t2失敗,導致整個事務全部失敗回滾;這個例子就很好地體現了原子性和非原子性的區別。

5.7版本:mysql> CREATE TABLE t1 (c1 INT);mysql> DROP TABLE t1, t2;ERROR 1051 (42S02): Unknown table ’test.t2’mysql> SHOW TABLES;Empty set (0.00 sec)8.0版本:mysql> CREATE TABLE t1 (c1 INT);mysql> DROP TABLE t1, t2;ERROR 1051 (42S02): Unknown table ’test.t2’mysql> SHOW TABLES;+----------------+| Tables_in_test |+----------------+| t1 |+----------------+

在對原子DDL有初步了解后,接下來介紹一下具體過程:

(1)prepare:創建需要的對象,并將ddl日志寫入到mysql.innodb_ddl_log;ddl日志記錄了如何前滾和回滾ddl操作。(2)perform:執行ddl操作。(3)commit:更新數據字典并提交。(4)post-ddl:重放和刪除ddl日志。只有在實例異常宕機情況下,ddl日志才會繼續保存在mysql.innodb_ddl_log;在在實例重啟后,進行實例恢復階段,ddl日志會重放和刪除;如果第3步-數據字典更新已經成功提交,并寫入redo log和binlog,那么ddl操作成功;否則,ddl操作失敗,并根據ddl日志進行回滾

最后,再介紹一下,怎么查看DDL日志?

其中一個方法,是在debug級別下,訪問表mysql.innodb_ddl_log進行查看(不推薦)

CREATE TABLE mysql.innodb_ddl_log ( id BIGINT UNSIGNED NOT NULL AUTO_INCREMENT PRIMARY KEY, thread_id BIGINT UNSIGNED NOT NULL, type INT UNSIGNED NOT NULL, space_id INT UNSIGNED, page_no INT UNSIGNED, index_id BIGINT UNSIGNED, table_id BIGINT UNSIGNED, old_file_path VARCHAR(512) COLLATE UTF8_BIN, new_file_path VARCHAR(512) COLLATE UTF8_BIN, KEY(thread_id));

另一個辦法,是可以將DDL日志打印到error log進行查看(推薦)

mysql> set global innodb_print_ddl_logs=on;Query OK, 0 rows affected (0.00 sec)mysql> set global LOG_ERROR_VERBOSITY=3;Query OK, 0 rows affected (0.00 sec)mysql> create table test(id int);Query OK, 0 rows affected (0.04 sec)$ tail -100f mysql-error.log2020-08-17T19:55:09.804345+08:00 73 [Note] [MY-012473] [InnoDB] DDL log insert : [DDL record: DELETE SPACE, id=57, thread_id=73, space_id=12, old_file_path=./test/test.ibd]2020-08-17T19:55:09.804396+08:00 73 [Note] [MY-012478] [InnoDB] DDL log delete : 572020-08-17T19:55:09.816850+08:00 73 [Note] [MY-012477] [InnoDB] DDL log insert : [DDL record: REMOVE CACHE, id=58, thread_id=73, table_id=1069, new_file_path=test/test]2020-08-17T19:55:09.816887+08:00 73 [Note] [MY-012478] [InnoDB] DDL log delete : 582020-08-17T19:55:09.820623+08:00 73 [Note] [MY-012472] [InnoDB] DDL log insert : [DDL record: FREE, id=59, thread_id=73, space_id=12, index_id=160, page_no=4]2020-08-17T19:55:09.820673+08:00 73 [Note] [MY-012478] [InnoDB] DDL log delete : 592020-08-17T19:55:09.837695+08:00 73 [Note] [MY-012485] [InnoDB] DDL log post ddl : begin for thread id : 732020-08-17T19:55:09.837721+08:00 73 [Note] [MY-012486] [InnoDB] DDL log post ddl : end for thread id : 73

總結

MySQL 8.0對于數據字典的改進,帶來了很多好處,包括元數據統一管理、數據字典緩存、information_schema性能提升、原子DDL等等。

以上就是解析MySQL8.0新特性——事務性數據字典與原子DDL的詳細內容,更多關于MySQL8.0新特性的資料請關注好吧啦網其它相關文章!

標簽: MySQL 數據庫
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