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Mysql CMAKE编译参数详解
以下是博主原先整理的一些mysql编译参数详解,提供给热衷于源码编译安装mysql的朋友们!
-DCMAKE_INSTALL_PREFIX= 指向mysql安装目录
-DINSTALL_SBINDIR=sbin 指向可执行文件目录(prefix/sbin)
-DMYSQL_DATADIR=/var/lib/mysql 指向mysql数据文件目录(/var/lib/mysql)
-DSYSCONFDIR=/etc/mysql 指向mysql配置文件目录(/etc/mysql)
-DINSTALL_PLUGINDIR=lib/mysql/plugin 指向插件目录(prefix/lib/mysql/plugin)
-DINSTALL_MANDIR=share/man 指向man文档目录(prefix/share/man)
-DINSTALL_SHAREDIR=share 指向aclocal/mysql.m4安装目录(prefix/share)
-DINSTALL_LIBDIR=lib/mysql 指向对象代码库目录(prefix/lib/mysql)
-DINSTALL_INCLUDEDIR=include/mysql 指向头文件目录(prefix/include/mysql)
-DINSTALL_INFODIR=share/info 指向info文档存放目录(prefix/share/info)
prefix官方推荐设为/usr
Storage Engine相关
类型csv,myisam,myisammrg,heap,innobase,archive,blackhole
若想启用某个引擎的支持:-DWITH_
如:
-DWITH_INNOBASE_STORAGE_ENGINE=1
-DWITH_ARCHIVE_STORAGE_ENGINE=1
-DWITH_BLACKHOLE_STORAGE_ENGINE=1
若想禁用某个引擎的支持:-DWITHOUT_
如:
-DWITHOUT_EXAMPLE_STORAGE_ENGINE=1
-DWITHOUT_FEDERATED_STORAGE_ENGINE=1
-DWITHOUT_PARTITION_STORAGE_ENGINE=1
Library相关
-DWITH_READLINE=1 启用readline库支持(提供可编辑的命令行)
-DWITH_SSL=system 启用ssl库支持(安全套接层)
-DWITH_ZLIB=system 启用libz库支持(zib、gzib相关)
-DWTIH_LIBWRAP=0 禁用libwrap库(实现了通用TCP包装的功能,为网络服务守护进程使用)
-DMYSQL_TCP_PORT=3306 指定TCP端口为3306
-DMYSQL_UNIX_ADDR=/tmp/mysqld.sock 指定mysql.sock路径
-DENABLED_LOCAL_INFILE=1 启用本地数据导入支持
-DEXTRA_CHARSETS=all 启用额外的字符集类型(默认为all)
-DDEFAULT_CHARSET=utf8 指定默认的字符集为utf8
-DDEFAULT_COLLATION=utf8_general_ci 设定默认排序规则(utf8_general_ci快速/utf8_unicode_ci准确)
-DWITH_EMBEDDED_SERVER=1 编译嵌入式服务器支持
-DMYSQL_USER=mysql 指定mysql用户(默认为mysql)
-DWITH_DEBUG=0 禁用debug(默认为禁用)
-DENABLE_PROFILING=0 禁用Profiling分析(默认为开启)
-DWITH_COMMENT='string' 一个关于编译环境的描述性注释
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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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