


There are many ways to build MySQL master-slave. The traditional mysqldump method is one of the choices for many people. But for larger databases, this method is not an ideal choice. Use Xtrabackup to quickly and easily build or repair mysql master-slave architecture. This article describes using innobackupex to quickly build or repair a master-slave architecture. For reference.
1、基于主库做一个完整备份 # mkdir -p /log/bakforslave # innobackupex --user=root -password=*** --socket=/tmp/mysql.sock \ --defaults-file=/etc/my.cnf /log/bakforslave --parallel=3 --safe-slave-backup --no-timestamp 2、复制数据库到备机 # tar -czvf bakforslave.tar.gz ./bakforslave/ # scp bakforslave.tar.gz robin@172.16.10.51:~ # scp /etc/my.cnf robin@172.16.10.51:~/mymaster.cnf 3、在备机上恢复 ###备机解压打包的备份文件 # mv /home/robin/bakforslave.tar.gz /data # cd /data # tar -xvf bakforslave.tar.gz ### prepare 备份 # innobackupex --user=root -password=*** --socket=/tmp/mysql.sock --defaults-file=/home/robin/mymaster.cnf \ --apply-log --use-memory=4GB /data/bakforslave ###如果是修复从库,从库为启动状态应先停止从库,再做如下操作,否则可以跳过 # service mysqld stop ###还原备份的数据文件 # mv mysqldata mysqldatabk # mv bakforslave mysqldata # chown -R mysql:mysql mysqldata ###如果是新搭建的从库,此时可以修改主库的my.cnf为本机的my.cnf, ###如果为修复,则可以直接使用原有的配置文件或根据需要修改。 # cp /home/robin/mymaster.cnf /etc/my.cnf # vi /etc/my.cnf ###此处应修改使用一个不同的server_id,同时可以根据需要修改相关路径及端口配置等。 # service mysqld start ###修改完毕后可以启动mysqld 4、主库授权用于复制的用户 mysql> grant replication slave,replication client on *.* to repl2@'172.16.10.%' identified by '***'; ### 验证shell 提示符下登陆到主库 # mysql -urepl2 -p -h172.16.10.88 5、启动slave # more /data/mysqldata/xtrabackup_binlog_info mysql-bin.000136 73752825 mysql> CHANGE MASTER TO MASTER_HOST='172.16.10.88', --Author: Leshami MASTER_USER='repl2', --Blog : http://www.php.cn/ MASTER_PASSWORD='***', MASTER_LOG_FILE='mysql-bin.000136', MASTER_LOG_POS=73752825; mysql> start slave; 6、验证结果 mysql> show slave status \G *************************** 1. row *************************** Slave_IO_State: Waiting for master to send event Master_Host: 172.16.10.88 Master_User: repl2 Master_Port: 3306 Connect_Retry: 60 Master_Log_File: mysql-bin.000136 Read_Master_Log_Pos: 96592981 Relay_Log_File: mysqld-relay-bin.000002 Relay_Log_Pos: 72113 Relay_Master_Log_File: mysql-bin.000136 Slave_IO_Running: Yes Slave_SQL_Running: Yes Replicate_Do_DB: test,bs_com,bs_sysmsg,bs_bak Replicate_Ignore_DB: mysql Replicate_Do_Table: Replicate_Ignore_Table: Replicate_Wild_Do_Table: Replicate_Wild_Ignore_Table: Last_Errno: 0 Last_Error: Skip_Counter: 0 Exec_Master_Log_Pos: 73824655 Relay_Log_Space: 22840613 Until_Condition: None Until_Log_File: Until_Log_Pos: 0 Master_SSL_Allowed: No Master_SSL_CA_File: Master_SSL_CA_Path: Master_SSL_Cert: Master_SSL_Cipher: Master_SSL_Key: Seconds_Behind_Master: 3815 Master_SSL_Verify_Server_Cert: No Last_IO_Errno: 0 Last_IO_Error: Last_SQL_Errno: 0 Last_SQL_Error: Replicate_Ignore_Server_Ids: Master_Server_Id: 2 Master_UUID: afd6bca4-6636-11e3-9d60-74867ae1c47c Master_Info_File: /data/mysqldata/master.info SQL_Delay: 0 SQL_Remaining_Delay: NULL Slave_SQL_Running_State: updating Master_Retry_Count: 86400 Master_Bind: Last_IO_Error_Timestamp: Last_SQL_Error_Timestamp: Master_SSL_Crl: Master_SSL_Crlpath: Retrieved_Gtid_Set: Executed_Gtid_Set: Auto_Position: 0 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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