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MYSQL的伪行级锁 之前一直以为mysql的innodb引擎所支持的行级锁和oracle,postgresql是一样的,是对数据行上加锁。但其实是不一样的,理解不一样,对mysql的锁机制就容易产生误解。innodb的行级锁实际上是基于索引项来锁定的。以下是验证测试过程 一.数据准备mysql> use test;Database changedmysql> show create table t_kenyon /G*************************** 1. row *************************** Table: t_kenyonCreate Table: CREATE TABLE `t_kenyon` ( `id` int(11) DEFAULT NULL) ENGINE=InnoDB DEFAULT CHARSET=utf81 row in set (0.00 sec) mysql> set autocommit = 0;Query OK, 0 rows affected (0.00 sec) mysql> show variables like '%autocommit%';+---------------+-------+| Variable_name | Value |+---------------+-------+| autocommit | OFF |+---------------+-------+1 row in set (0.00 sec) mysql> select * from t_kenyon;+------+| id |+------+| 1 || 123 || 789 || 345 || 78 || 78 |+------+6 rows in set (0.00 sec)以上是测试表t_kenyon,设置提交方式为手动提交. 二.过程(开启两个session,分别设置autocommit=off) 1.session one updatemysql> update t_kenyon set id = 999 where id = 1;Query OK, 1 row affected (0.04 sec)Rows matched: 1 Changed: 1 Warnings: 0 mysql> select * from t_kenyon;+------+| id |+------+| 999 || 123 || 789 || 345 || 78 || 78 |+------+6 rows in set (0.00 sec)2.session two updatemysql> show variables like 'autocommit';+---------------+-------+| Variable_name | Value |+---------------+-------+| autocommit | OFF |+---------------+-------+1 row in set (0.00 sec) mysql> select * from t_kenyon;+------+| id |+------+| 1 || 123 || 789 || 345 || 78 || 78 |+------+6 rows in set (0.00 sec) mysql> update t_kenyon set id = 88888 where id = 345;第二个session更新的值是345,但是也一直被阻塞,直到session1被rollback或者commit,如果session1未做回滚或者提交,session2中的该阻塞在超出mysql的锁时间限制时自动回滚,该参数为innodb_lock_wait_timeout,默认值50秒 现象如下ERROR 1205 (HY000): Lock wait timeout exceeded; try restarting transaction加索引后的测试 3.session one update mysql> create index ind_kenyon on t_kenyon(id);Query OK, 0 rows affected (28.58 sec)Records: 0 Duplicates: 0 Warnings: 0 mysql> update t_kenyon set id = 999 where id = 1;Query OK, 1 row affected (0.03 sec)Rows matched: 1 Changed: 1 Warnings: 0 mysql> select * from t_kenyon;+------+| id |+------+| 78 || 78 || 123 || 345 || 789 || 999 |+------+6 rows in set (0.00 sec)4.session two update mysql> select * from t_kenyon;+------+| id |+------+| 1 || 78 || 78 || 123 || 345 || 789 |+------+6 rows in set (0.00 sec) mysql> update t_kenyon set id = 7777 where id = 345;Query OK, 1 row affected (0.03 sec)Rows matched: 1 Changed: 1 Warnings: 0 mysql> select * from t_kenyon;+------+| id |+------+| 1 || 78 || 78 || 123 || 789 || 7777 |+------+6 rows in set (0.00 sec)执行计划mysql> explain select * from t_kenyon where id = 345 /G*************************** 1. row *************************** id: 1 select_type: SIMPLE table: t_kenyon type: refpossible_keys: ind_kenyon key: ind_kenyon key_len: 5 ref: const rows: 1 Extra: Using where; Using index1 row in set (0.00 sec)可以看到加了索引后,不同的数据更新并没有被阻塞,实现了真正意义上行锁 三.行级锁的扩展限制 参考:http:///database/201208/145888.html 作者 kenyon bitsCN.com

MySQLstringtypesimpactstorageandperformanceasfollows:1)CHARisfixed-length,alwaysusingthesamestoragespace,whichcanbefasterbutlessspace-efficient.2)VARCHARisvariable-length,morespace-efficientbutpotentiallyslower.3)TEXTisforlargetext,storedoutsiderows,

MySQLstringtypesincludeVARCHAR,TEXT,CHAR,ENUM,andSET.1)VARCHARisversatileforvariable-lengthstringsuptoaspecifiedlimit.2)TEXTisidealforlargetextstoragewithoutadefinedlength.3)CHARisfixed-length,suitableforconsistentdatalikecodes.4)ENUMenforcesdatainte

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ToaddusersinMySQLeffectivelyandsecurely,followthesesteps:1)UsetheCREATEUSERstatementtoaddanewuser,specifyingthehostandastrongpassword.2)GrantnecessaryprivilegesusingtheGRANTstatement,adheringtotheprincipleofleastprivilege.3)Implementsecuritymeasuresl

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The string data types in MySQL include CHAR, VARCHAR, BINARY, VARBINARY, BLOB, and TEXT. The collations determine the comparison and sorting of strings. 1.CHAR is suitable for fixed-length strings, VARCHAR is suitable for variable-length strings. 2.BINARY and VARBINARY are used for binary data, and BLOB and TEXT are used for large object data. 3. Sorting rules such as utf8mb4_unicode_ci ignores upper and lower case and is suitable for user names; utf8mb4_bin is case sensitive and is suitable for fields that require precise comparison.

The best MySQLVARCHAR column length selection should be based on data analysis, consider future growth, evaluate performance impacts, and character set requirements. 1) Analyze the data to determine typical lengths; 2) Reserve future expansion space; 3) Pay attention to the impact of large lengths on performance; 4) Consider the impact of character sets on storage. Through these steps, the efficiency and scalability of the database can be optimized.


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