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其实指定列的索引就相当于对指定的列进行排序,为什么要排序呢?因为排序有利于对该列的查询,可以大大增加查询效率。(那么可能有人认为应该对所有的列排序,这样就可以增加整个数据库的查询效率?这样的想法是错误的,原因是建立索引也是要消耗系统资源的,给每个表里的每个列都建立索引那么将对系统造成极大的负担,那就更别提效率了!)---------简单的说建立一个列的索引,就相当与建立一个列的排序。
主键其实就是一个索引,但是这个索引跟一般的索引有所不同,不同在于主键所在的列里的每一个的记录都是唯一的,也可以说不能在主键里出现相同的记录,在同一个表里只能有一个主键。(主键等于索引,索引不一定等于主键)----------简单的说主键就是所在列不能出现相同记录的特殊索引,而且这个索引只能在表里出现一次。 1.主键一定是唯一性索引,唯一性索引并不一定就是主键; 2.一个表中可以有多个唯一性索引,但只能有一个主键; 3.主键列不允许空值,而唯一性索引列允许空值。 主键在表中有唯一标识的作用,不可重复,不能为空; 当其它表建立外键关联当前表时,只可以关联主键。 唯一索引,确切的说是唯一约束, create unique index index_id on(id); 是用来限制当前表插入时建立唯一约束的字段不可重复。 一个是做为唯一标识,先唯一后标识; 另一个是插入时做唯一限制。
摘自 simonjay2007的专栏 bitsCN.com

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.

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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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