MySQL上線,檢查數(shù)據(jù)庫(kù)設(shè)計(jì)的“十條合規(guī)”
MySQL作為關(guān)系型數(shù)據(jù)庫(kù)的典型代表,在國(guó)內(nèi)環(huán)境里經(jīng)歷風(fēng)雨磨礪,不斷地精進(jìn),已經(jīng)在開(kāi)發(fā)和運(yùn)維方面,成型了一套的規(guī)范。這些規(guī)范讓了解和使用MySQL更加得心應(yīng)手,并對(duì)后期的一些問(wèn)題起到了很好的預(yù)防作用。
結(jié)合個(gè)人經(jīng)驗(yàn),下面具體講解十個(gè)“合規(guī)檢查”:
1. 數(shù)據(jù)庫(kù)大表信息查看
統(tǒng)計(jì)某庫(kù)下各表大小,不要存在過(guò)大的表信息。本身分配內(nèi)存有限,過(guò)大的表會(huì)不停地刷新新舊數(shù)據(jù),IO交付頻繁,導(dǎo)致性能衰減。
- SELECT TABLE_SCHEMA,
- TABLE_NAME TABLE_NAME, TABLE_ROWS,
- CONCAT(ROUND(data_length / (1024 * 1024), 2),'M') data_length,
- CONCAT(ROUND(index_length / (1024 * 1024), 2),'M') index_length,
- CONCAT(ROUND(ROUND(data_length + index_length) / (1024 * 1024),2),'M') total_size,
- engine
- FROM INFORMATION_SCHEMA.TABLES
- WHERE TABLE_SCHEMA NOT IN ('INFORMATION_SCHEMA' ,
- 'performance_schema',
- 'sys',
- 'mysql')
- ORDER BY (data_length + index_length) DESC LIMIT 10;
- +--------------+-----------------------+------------+-------------+--------------+------------+--------+
- | TABLE_SCHEMA | TABLE_NAME | TABLE_ROWS | data_length | index_length | total_size | ENGINE |
- +--------------+-----------------------+------------+-------------+--------------+------------+--------+
- | employees | salaries | 1910497 | 64.59M | 0.00M | 64.59M | InnoDB |
- | employees | employees | 299556 | 14.52M | 10.03M | 24.55M | InnoDB |
- | employees | employees01 | 101881 | 5.52M | 8.55M | 14.06M | InnoDB |
- | employees | t_temp | 95374 | 5.52M | 5.52M | 11.03M | InnoDB |
- | db3 | t_temp | 1000 | 0.08M | 0.13M | 0.20M | InnoDB |
- | db3 | transportorder | 3 | 0.02M | 0.06M | 0.08M | InnoDB |
- | db3 | transportorderwaybill | 3 | 0.02M | 0.05M | 0.06M | InnoDB |
- | db1 | pt1 | 10 | 0.06M | 0.00M | 0.06M | InnoDB |
- | db1 | city | 2 | 0.02M | 0.03M | 0.05M | InnoDB |
- | db2 | tabname | 30 | 0.02M | 0.03M | 0.05M | InnoDB |
- +--------------+-----------------------+------------+-------------+--------------+------------+--------+
- 10 rows in set (0.20 sec)
2. 存儲(chǔ)引擎
存儲(chǔ)引擎分布,innodb引擎最適合因?yàn)橹С质聞?wù),行鎖級(jí)別。
- SELECT TABLE_SCHEMA,
- ENGINE,
- COUNT(*)
- FROM INFORMATION_SCHEMA.TABLES
- WHERE TABLE_SCHEMA NOT IN ('INFORMATION_SCHEMA',
- 'PERFORMANCE_SCHEMA',
- 'SYS',
- 'MYSQL')
- AND TABLE_TYPE='BASE TABLE'
- GROUP BY TABLE_SCHEMA,
- ENGINE;
- 非 INNODB 存儲(chǔ)引擎表
- SELECT TABLE_SCHEMA,
- TABLE_NAME,
- TABLE_COLLATION,
- ENGINE,
- TABLE_ROWS
- FROM INFORMATION_SCHEMA.TABLES
- WHERE TABLE_SCHEMA NOT IN ('INFORMATION_SCHEMA',
- 'SYS',
- 'MYSQL',
- 'PERFORMANCE_SCHEMA')
- AND TABLE_TYPE='BASE TABLE'
- AND ENGINE NOT IN ('INNODB')
- ORDER BY TABLE_ROWS DESC ;
3. 主鍵
無(wú)主鍵、無(wú)唯一鍵表。復(fù)制主鍵最重要,數(shù)據(jù)操作主鍵效率高。
- SELECT T1.TABLE_SCHEMA,
- T1.TABLE_NAME
- FROM INFORMATION_SCHEMA.COLUMNS T1 JOIN INFORMATION_SCHEMA.TABLES T2 ON T1.TABLE_SCHEMA=T2.TABLE_SCHEMA AND T1.TABLE_NAME=T2.TABLE_NAME
- WHERE T1.TABLE_SCHEMA NOT IN ('SYS',
- 'MYSQL',
- 'INFORMATION_SCHEMA',
- 'PERFORMANCE_SCHEMA')
- AND T2.TABLE_TYPE='BASE TABLE'
- GROUP BY T1.TABLE_SCHEMA,
- T1.TABLE_NAME HAVING group_concat(COLUMN_KEY) NOT REGEXP 'PRI|UNI';
4. not utf8 table
生僻字成亂碼,表情符失效問(wèn)題。
- SELECT TABLE_SCHEMA,TABLE_NAME,TABLE_COLLATION
- from information_schema.TABLES
- WHERE TABLE_COLLATION NOT LIKE 'utf8%'
- AND table_schema NOT IN ('information_schema' ,'mysql','performance_schema', 'sys');
5. 字符集驗(yàn)證
表之間Join字符集不對(duì)稱(chēng),導(dǎo)致索引失效。
- 參看系統(tǒng)字符集:
- mysql> show global variables like 'collation%';
- 跟系統(tǒng)字符集不一樣的數(shù)據(jù)庫(kù):
- SELECT b.SCHEMA_NAME, b.DEFAULT_CHARACTER_SET_NAME, b.DEFAULT_COLLATION_NAME
- from information_schema.SCHEMATA b
- WHERE b.SCHEMA_NAME not in ('information_schema' ,'mysql','performance_schema', 'sys')
- AND b.DEFAULT_COLLATION_NAME<>@@collation_server ;
- 跟系統(tǒng)字符集不一樣的表和字段:
- select distinct tschema,tname,tcoll
- from
- (
- select a.TABLE_SCHEMA as tschema , a.TABLE_NAME as tname,a.TABLE_COLLATION as tcoll
- from information_schema.TABLES a
- WHERE a.TABLE_SCHEMA not in ('information_schema' ,'mysql','performance_schema', 'sys')
- and a.TABLE_COLLATION<>@@collation_server
- union
- select a.TABLE_SCHEMA as tschema, TABLE_NAME as tname, a.COLLATION_NAME as tcoll
- from information_schema.COLUMNS a
- WHERE a.TABLE_SCHEMA not in ('information_schema' ,'mysql','performance_schema', 'sys')
- and a.COLLATION_NAME<>@@collation_server ) as aa ;
6. 存儲(chǔ)過(guò)程&函數(shù)
存儲(chǔ)過(guò)程和函數(shù)查看,確實(shí)影響MySQL處理能力,后期也不好維護(hù)。
- ##MySQL5.7
- SELECT db,type,count(*)
- FROM mysql.proc
- WHERE db not in ('mysql','information_schema','performance_schema','sys')
- AND type='PROCEDURE'
- GROUP BY db, type;
- ##MySQL8.0
- SELECT Routine_schema, Routine_type
- FROM information_schema.Routines
- WHERE Routine_schema not in ('mysql','information_schema','performance_schema','sys')
- AND ROUTINE_TYPE='PROCEDURE'
- GROUP BY Routine_schema, Routine_type;
7. 統(tǒng)計(jì)視圖
統(tǒng)計(jì)視圖確實(shí)影響MySQL處理能力,后期也不好維護(hù)。特別是ddl變更要注意。
- SELECT TABLE_SCHEMA , COUNT(TABLE_NAME)
- FROM information_schema.VIEWS
- WHERE TABLE_SCHEMA not in ('mysql','information_schema','performance_schema','sys')
- GROUP BY TABLE_SCHEMA ;
8. 自增主鍵查看
主要考慮自增鍵超出范圍,需要檢查一下。
- SELECT infotb.TABLE_SCHEMA ,
- infotb.TABLE_NAME,
- infotb.AUTO_INCREMENT,
- infocl.COLUMN_TYPE ,
- infocl.COLUMN_NAME
- FROM information_schema.TABLES as infotb INNER JOIN information_schema.COLUMNS infocl
- ON infotb.TABLE_SCHEMA = infocl.TABLE_SCHEMA
- AND infotb.TABLE_NAME = infocl.TABLE_NAME
- AND infocl.EXTRA='auto_increment';
自增主鍵使用情況統(tǒng)計(jì):
- SELECT infotb.TABLE_SCHEMA , infotb.TABLE_NAME, infotb.AUTO_INCREMENT,infocl.COLUMN_TYPE
- FROM information_schema.TABLES as infotb INNER JOIN information_schema.COLUMNS infocl
- ON infotb.TABLE_SCHEMA = infocl.TABLE_SCHEMA
- AND infotb.TABLE_NAME = infocl.TABLE_NAME
- AND infocl.EXTRA='auto_increment';
9. 分區(qū)表
盡量避免分區(qū)表,分區(qū)表性能問(wèn)題:體現(xiàn)在分區(qū)鎖,初期訪問(wèn)加載所有分區(qū)。
查看實(shí)例中的分區(qū)表相關(guān)信息:
- SELECT TABLE_SCHEMA,
- TABLE_NAME,
- count(PARTITION_NAME) AS PARTITION_COUNT,
- sum(TABLE_ROWS) AS TABLE_TOTAL_ROWS,
- CONCAT(ROUND(SUM(DATA_LENGTH) / (1024 * 1024), 2),'M') DATA_LENGTH,
- CONCAT(ROUND(SUM(INDEX_LENGTH) / (1024 * 1024), 2),'M') INDEX_LENGTH,
- CONCAT(ROUND(ROUND(SUM(DATA_LENGTH + INDEX_LENGTH)) / (1024 * 1024),2),'M') TOTAL_SIZE
- FROM INFORMATION_SCHEMA.PARTITIONS
- WHERE TABLE_SCHEMA NOT IN ('sys',
- 'mysql',
- 'INFORMATION_SCHEMA',
- 'performance_schema')
- AND PARTITION_NAME IS NOT NULL
- GROUP BY TABLE_SCHEMA,
- TABLE_NAME
- ORDER BY sum(DATA_LENGTH + INDEX_LENGTH) DESC ;
- +--------------+------------------+-----------------+------------------+-------------+--------------+------------+
- | TABLE_SCHEMA | TABLE_NAME | PARTITION_COUNT | TABLE_TOTAL_ROWS | DATA_LENGTH | INDEX_LENGTH | TOTAL_SIZE |
- +--------------+------------------+-----------------+------------------+-------------+--------------+------------+
- | db | t1 | 365 | 0 | 5.70M | 17.11M | 22.81M |
- | db | t2 | 391 | 0 | 6.11M | 0.00M | 6.11M |
- | db | t3 | 4 | 32556 | 2.28M | 0.69M | 2.97M |
- | db | t4 | 26 | 0 | 0.41M | 2.44M | 2.84M |
- | db | t5 | 4 | 0 | 0.06M | 0.00M | 0.06M |
- | db | t6 | 4 | 0 | 0.06M | 0.00M | 0.06M |
- +--------------+------------------+-----------------+------------------+-------------+--------------+------------+
- 6 rows in set (1.04 sec)
- 查看某分區(qū)表具體信息,此處以庫(kù)名為 db、表名為 e 的分區(qū)表為例:
- SELECT TABLE_SCHEMA,
- TABLE_NAME,
- PARTITION_NAME,
- PARTITION_EXPRESSION,
- PARTITION_METHOD,
- PARTITION_DESCRIPTION,
- TABLE_ROWS,
- CONCAT(ROUND(DATA_LENGTH / (1024 * 1024), 2),'M') DATA_LENGTH,
- CONCAT(ROUND(INDEX_LENGTH / (1024 * 1024), 2),'M') INDEX_LENGTH,
- CONCAT(ROUND(ROUND(DATA_LENGTH + INDEX_LENGTH) / (1024 * 1024),2),'M') TOTAL_SIZE
- FROM INFORMATION_SCHEMA.PARTITIONS
- WHERE TABLE_SCHEMA NOT IN ('sys',
- 'mysql',
- 'INFORMATION_SCHEMA',
- 'performance_schema')
- AND PARTITION_NAME IS NOT NULL
- AND TABLE_SCHEMA='db'
- AND TABLE_NAME='e';
- +--------------+------------+----------------+----------------------+------------------+-----------------------+------------+-------------+--------------+------------+
- | TABLE_SCHEMA | TABLE_NAME | PARTITION_NAME | PARTITION_EXPRESSION | PARTITION_METHOD | PARTITION_DESCRIPTION | TABLE_ROWS | DATA_LENGTH | INDEX_LENGTH | TOTAL_SIZE |
- +--------------+------------+----------------+----------------------+------------------+-----------------------+------------+-------------+--------------+------------+
- | db | e | p0 | id | RANGE | 50 | 4096 | 0.20M | 0.09M | 0.30M |
- | db | e | p1 | id | RANGE | 100 | 6144 | 0.28M | 0.13M | 0.41M |
- | db | e | p2 | id | RANGE | 150 | 6144 | 0.28M | 0.13M | 0.41M |
- | db | e | p3 | id | RANGE | MAXVALUE | 16172 | 1.52M | 0.34M | 1.86M |
- +--------------+------------+----------------+----------------------+------------------+-----------------------+------------+-------------+--------------+------------+
- 4 rows in set (0.00 sec)
10. 計(jì)劃任務(wù)
在不自覺(jué)中,自動(dòng)執(zhí)行。確認(rèn)無(wú)法維護(hù)。
- SELECT EVENT_SCHEMA,EVENT_NAME
- FROM information_schema.EVENTS
- WHERE EVENT_SCHEMA not in ('mysql',
- 'information_schema',
- 'performance_schema',
- 'sys');
總結(jié)
以上合規(guī)檢查已經(jīng)為后期排除了很多隱患。做好上線數(shù)據(jù)庫(kù)設(shè)計(jì)方面的合規(guī)檢查,是必不可少的流程。
關(guān)于作者
崔虎龍,云和恩墨MySQL技術(shù)顧問(wèn),長(zhǎng)期服務(wù)于金融、游戲、物流等行業(yè)的數(shù)據(jù)中心,設(shè)計(jì)數(shù)據(jù)存儲(chǔ)架構(gòu),并熟悉數(shù)據(jù)中心運(yùn)營(yíng)管理的流程及規(guī)范,自動(dòng)化運(yùn)維等。擅長(zhǎng)MySQL、Redis、MongoDB數(shù)據(jù)庫(kù)高可用設(shè)計(jì)和運(yùn)維故障處理、備份恢復(fù)、升級(jí)遷移、性能優(yōu)化。自學(xué)通過(guò)了MySQL OCP 5.6和MySQL OCP 5.7認(rèn)證。2年多開(kāi)發(fā)經(jīng)驗(yàn),10年數(shù)據(jù)庫(kù)運(yùn)維工作經(jīng)驗(yàn),其中專(zhuān)職做MySQL工作8年;曾經(jīng)擔(dān)任過(guò)項(xiàng)目經(jīng)理、數(shù)據(jù)庫(kù)經(jīng)理、數(shù)據(jù)倉(cāng)庫(kù)架構(gòu)師、MySQL技術(shù)專(zhuān)家、DBA等職務(wù);涉及行業(yè):金融(銀行、理財(cái))、物流、游戲、醫(yī)療、重工業(yè)等。