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绝对值函数ABS(x)和圆周率函数PI()
mysql> SELECT ABS(0.5), ABS(-0.5), PI();+----------+-----------+----------+| ABS(0.5) | ABS(-0.5) | PI() |+----------+-----------+----------+| 0.5 | 0.5 | 3.141593 |+----------+-----------+----------+1 row in set (0.00 sec)
平方根函数SQRT(x)和求余函数MOD(x,y)
mysql> SELECT SQRT(16), SQRT(3), MOD(13,4);+----------+--------------------+-----------+| SQRT(16) | SQRT(3) | MOD(13,4) |+----------+--------------------+-----------+| 4 | 1.7320508075688772 | 1 |+----------+--------------------+-----------+1 row in set (0.00 sec)
取整函数CEIL(x)、CEILING(x)和FLOOR(x)
mysql> SELECT CEIL(2.3), CEIL(-2.3), CEILING(2.3), CEILING(-2.3);+-----------+------------+--------------+---------------+| CEIL(2.3) | CEIL(-2.3) | CEILING(2.3) | CEILING(-2.3) |+-----------+------------+--------------+---------------+| 3 | -2 | 3 | -2 |+-----------+------------+--------------+---------------+1 row in set (0.00 sec)mysql> SELECT FLOOR(2.3), FLOOR(-2.3);+------------+-------------+| FLOOR(2.3) | FLOOR(-2.3) |+------------+-------------+| 2 | -3 |+------------+-------------+1 row in set (0.00 sec)
CEIL(x)和CEILING(x)返回大于或等于x的最小整数
FLOOR(x)返回小于或等于x的最大整数
随机数函数RAND()和RAND(x)
mysql> SELECT RAND(), RAND(2), RAND(2);+--------------------+--------------------+--------------------+| RAND() | RAND(2) | RAND(2) |+--------------------+--------------------+--------------------+| 0.8269294489425881 | 0.6555866465490187 | 0.6555866465490187 |+--------------------+--------------------+--------------------+1 row in set (0.00 sec)
RAND()和RAND(x)这两个函数丢失返回0~1的随机数
区别在于,RAND()返回的数是完全随机的,而RAND(x)在x相同时返回的值相同
四舍五入函数ROUND(x)、ROUND(x,y)和TRUNCATE(x,y)
mysql> SELECT ROUND(2.3), ROUND(2.5), ROUND(2.53,1), ROUND(2.55,1);+------------+------------+---------------+---------------+| ROUND(2.3) | ROUND(2.5) | ROUND(2.53,1) | ROUND(2.55,1) |+------------+------------+---------------+---------------+| 2 | 3 | 2.5 | 2.6 |+------------+------------+---------------+---------------+1 row in set (0.00 sec)
ROUND(x)返回离x最近的整数,也就是对x进行四舍五入处理
ROUND(x,y)返回x保留到小数点后y位的值,在截取时进行四舍五入处理
mysql> SELECT TRUNCATE(2.53,1), TRUNCATE(2.55,1);+------------------+------------------+| TRUNCATE(2.53,1) | TRUNCATE(2.55,1) |+------------------+------------------+| 2.5 | 2.5 |+------------------+------------------+1 row in set (0.00 sec)
TRUNCATE(x,y)返回x保留到小数点后y位的值,不进行四舍五入操作
符号函数SIGN(x)
mysql> SELECT SIGN(-2), SIGN(0), SIGN(2);+----------+---------+---------+| SIGN(-2) | SIGN(0) | SIGN(2) |+----------+---------+---------+| -1 | 0 | 1 |+----------+---------+---------+1 row in set (0.00 sec)
SIGN(x)返回x的符号,-1为负数,0不变,1为整数
幂运算函数POW(x,y)、POWER(x,y)
mysql> SELECT POW(3,2), POWER(3,2);+----------+------------+| POW(3,2) | POWER(3,2) |+----------+------------+| 9 | 9 |+----------+------------+1 row in set (0.00 sec)
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Stored procedures are precompiled SQL statements in MySQL for improving performance and simplifying complex operations. 1. Improve performance: After the first compilation, subsequent calls do not need to be recompiled. 2. Improve security: Restrict data table access through permission control. 3. Simplify complex operations: combine multiple SQL statements to simplify application layer logic.

The working principle of MySQL query cache is to store the results of SELECT query, and when the same query is executed again, the cached results are directly returned. 1) Query cache improves database reading performance and finds cached results through hash values. 2) Simple configuration, set query_cache_type and query_cache_size in MySQL configuration file. 3) Use the SQL_NO_CACHE keyword to disable the cache of specific queries. 4) In high-frequency update environments, query cache may cause performance bottlenecks and needs to be optimized for use through monitoring and adjustment of parameters.

The reasons why MySQL is widely used in various projects include: 1. High performance and scalability, supporting multiple storage engines; 2. Easy to use and maintain, simple configuration and rich tools; 3. Rich ecosystem, attracting a large number of community and third-party tool support; 4. Cross-platform support, suitable for multiple operating systems.

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

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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