我们知道 MySQL读和写在性能方面的开销区别是较大的,一般来说 服务器顶着20%写的压力,另外80%的压力来自读,当然这也得看实际业
我们知道 MySQL读和写在性能方面的开销区别是较大的,,一般来说 服务器顶着20%写的压力,另外80%的压力来自读,当然这也得看实际业务情况。
这篇文章准备配置一主三从,其实多少从没什么关系,一主多从其实是一主一从的延伸,因为从库之间是没有任何通信的,具体使用哪种方式看带宽负载和具体流量。
MySQL的主从replication原理其实就是Master不断地写二进制日志,Slave去读取日志,按照里面的SQL记录去执行!如下图:
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MySQL主从配置是与生俱来的功能,只需做简单配置即可,好了,废话少说,开始吧!
我的环境是这样,四台机器都在Vmware上,都使用桥接,用dhcp直接获取动态IP
Master:192.168.83.61
Slave1:192.168.83.87
Slave2:192.168.83.88
Slave3:192.168.83.89
四台机器的MySQL版本都是MySQL 5.5.40
第一,配置Master
vi /etc/my.cnf
server-id = 61
log-bin=mysql-bin
binlog-do-db=test //需要同步的数据库
binlog-ignore-db=mysql //被忽略的数据库
binlog-ignore-db=information-schema //被忽略的数据库
在master上为三台slave添加一个同步账号
mysql> grant replication slave1 on *.* to 'slave1'@'192.168.83.87' identified by 'slave1';
//在slave1上登陆成功
mysql> grant replication slave on *.* to 'slave2'@'192.168.83.88' identified by 'slave2';
//在slave2上登陆成功
mysql> grant replication slave on *.* to 'slave3'@'192.168.83.89' identified by 'slave3'; <p>//在slave3上登陆成功</p> <p>保存后重启Mysql服务</p> <p>service mysqld restart</p> <p>然后在mysql命令行模式下用</p> <p>mysql> show master status\G;</p> <p>*************************** 1. row ***************************<br>File: mysql-bin.000001<br>Position: 106<br>Binlog_Do_DB: test<br>Binlog_Ignore_DB: mysql,information-schema<br>1 row in set (0.00 sec)</p> <p>更多详情见请继续阅读下一页的精彩内容: </p><p align="center"><img src="/static/imghwm/default1.png" data-src="/linuxfile/logo.gif" class="lazy" alt="linux"></p>

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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