以前在群里讨论过这个问题,比较的有意思.mysql的语法真好玩.他们原来都想用PHP的实现随机,但取出多条好像要进行两次以上查询.翻了手册,找到了下面这个语句,可以完成任务了。
SELECT * FROM table_name ORDER BY rand() LIMIT 5;
rand在手册里是这么说的:
RAND()
RAND(N)
返回在范围0到1.0内的随机浮点值。如果一个整数参数N被指定,它被用作种子值。
mysql> select RAND();
-> 0.5925
mysql> select RAND(20);
-> 0.1811
mysql> select RAND(20);
-> 0.1811
mysql> select RAND();
-> 0.2079
mysql> select RAND();
-> 0.7888
你不能在一个ORDER BY子句用RAND()值使用列,因为ORDER BY将重复计算列多次。然而在MySQL3.23中,你可以做: SELECT * FROM table_name ORDER BY RAND(),这是有利于得到一个来自SELECT * FROM table1,table2 WHERE a=b AND c 但我试了一下,8千条记录的表,执行一次需要0.08 sec,.慢了些 后来请教了google,得到如下代码 SELECT * FROM table_name AS r1 JOIN ( SELECT ROUND(RAND() * (SELECT MAX(id) FROM table_name)) AS id) AS r2 WHERE r1.id >= r2.id ORDER BY r1.id ASC LIMIT 5;

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MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi


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