************************************************************** --1.全备 ************************************************************** #mysqlbackup --defaults-file=/usr/local/mysql/my.cnf \ --host=127.0.0.1 --port=3306 --protocol=tcp \ --user=root --password=passwd123! --databases="wind" \ --with-timestamp --backup-dir=/backup \ --log-bin-index=/usr/local/mysql/mysql_logs/binary_log/mysqldb01-bin.index \ backup-and-apply-log ----NOTE: mysqlbackup: INFO: Could not find binlog index file. binlogs will not be copied for this backup. Point-In-Time-Recovery will not be possible. If this is online backup then server may not have started with --log-bin. You may specify its location with --log-bin-index option. #cat /backup/2015-04-01_09-39-09/meta/backup_variables.txt |grep 'lsn' end_lsn=70249846 start_lsn=70249472 /***************************参数 [backup_variables] apply_log_done=1 # 是否释放检测ibbackup_logfile文件(0表示没有,1表示已经释放) binlog_index=mysqldb01-bin.index #二进制日志索引文件 binlog_position=mysqldb01-bin.000011:338 #二进制日志文件大小 end_lsn=70249846 # 结束LSN点 has_external_plugins=0 #外部插件 is_compressed=0 #是否压缩(0:否,1:是) is_incremental=0 #是否是增量为增量备份文件(0:否,1:是) is_incremental_with_redo_log_only=0 只配置重做日志,当输入数据大小重做日志大小时,会有一场抛出 is_onlyinnodb=0 #是否只备份了innodb的表 is_partial=1 #是服务器备份还是部分备份(0表示全服务器备份,1表示部分备份) is_skip_unused_pages=0 meb_version=3.12.0 #版本号 start_lsn=70249472 #开始备份的LSN点 ***************************/ ************************************************************** ---2.增量备份 ************************************************************** mysqlbackup --defaults-file=/usr/local/mysql/my.cnf \ --host=127.0.0.1 --port=3306 --protocol=tcp \ --user=root --password=passwd123! --databases="wind" \ --with-timestamp --log-bin-index=/usr/local/mysql/mysql_logs/binary_log/mysqldb01-bin.index \ --incremental --start-lsn=70249846 \ --incremental-backup-dir=/backupinc backup mysqlbackup --defaults-file=/usr/local/mysql/my.cnf \ --host=127.0.0.1 --port=3306 --protocol=tcp \ --user=root --password=passwd123! --databases="wind" \ --with-timestamp --log-bin-index=/usr/local/mysql/mysql_logs/binary_log/mysqldb01-bin.index \ --incremental --start-lsn=138861169 \ --incremental-backup-dir=/backupinc backup ************************************************************** --3.还原指定表空间 ************************************************************** --3.1 合并增量备份到全备 ls /backupinc/ 2015-04-01_10-03-16 2015-04-01_10-11-51 mysqlbackup --backup-dir=/backup/2015-04-01_09-39-09 \ --incremental-backup-dir=/backupinc/2015-04-01_10-03-16 \ apply-incremental-backup mysqlbackup --backup-dir=/backup/2015-04-01_09-39-09 \ --incremental-backup-dir=/backupinc/2015-04-01_10-11-51 \ apply-incremental-backup --3.2 模拟删除指定表空间 #cat /usr/local/mysql/my.cnf |grep datadir datadir=/usr/local/mysql/data MariaDB [(none)]> show databases; +--------------------+ | Database | +--------------------+ | information_schema | | jason | | mysql | | performance_schema | | test | | wind | +--------------------+ 6 rows in set (0.01 sec) MariaDB [wind]> select count(*) from t1; +----------+ | count(*) | +----------+ | 3000000 | +----------+ 1 row in set (0.60 sec) MariaDB [(none)]> drop database wind; Query OK, 1 row affected (0.24 sec) MariaDB [(none)]> commit; Query OK, 0 rows affected (0.00 sec) MariaDB [(none)]> show databases; +--------------------+ | Database | +--------------------+ | information_schema | | jason | | mysql | | performance_schema | | test | +--------------------+ 5 rows in set (0.00 sec) --3.3 还原指定表空间 mysqlbackup --defaults-file=/usr/local/mysql/my.cnf \ --datadir=/usr/local/mysql/data/ \ --log-bin-index=/usr/local/mysql/mysql_logs/binary_log/mysqldb01-bin.index \ --backup-dir=/backup/2015-04-01_09-39-09 \ --databases="wind" \ copy-back chown -R mysql /usr/local/mysql chgrp -R mysql /usr/local/mysql --3.4验证表空间恢复情况 MariaDB [(none)]> show databases; +--------------------+ | Database | +--------------------+ | information_schema | | jason | | mysql | | performance_schema | | test | | wind | +--------------------+ 6 rows in set (0.01 sec) MariaDB [wind]> select count(*) from t1; +----------+ | count(*) | +----------+ | 3000000 | +----------+ 1 row in set (0.60 sec)

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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