#Use mysqldump to back up all libraries
Mysqldump –opt –master-data –single-transaction –u root –ppassword –all –database > all.sql
Parameter description: --opt seems to be the default option, it can be omitted. The main function is to prevent the library from being too large. Otherwise, the results will be put into the memory first, which will cause problems.
--master-data This is mainly to display the exported position (pos of binary log) on the results.
--single- transaction This works relative to the innoDB engine, similar to flush table with read lock;
#Use mysqldump to back up a database
Mysqldump –u root –ppassword databasename > databasename.sql
#Use mysqldump to back up a table (i.e. export One table data)
Mysqldump –u root –ppassword –databases databasename –tables tablename > tablename.sql
#Use mysqldump to compress the backup
Mysqldump –u root –ppassword databasename | gzip > databasename.sql.gz
#mysqldump recovery
Gunzip Mysql –u root –ppassword databasename You can also log in to mysql and run source /tmp/databasename.sql
# Use mysqlhotcopy to backup the library
Mysqlhotcopy –uroot –p=password databasename /bakup/backup directory
#Use mysqlhotcopy to back up a certain table
Mysqlhotcopy –u root –p=password databasename./tablename/ /backup/backup directory
#Use mysqlhotcopy to back up library and add backup records
Mysqlhotcopy –u root –p=password –checkpoint=hotcopy.checkpoint databasename /bakup/backup record
Parameter description: Save the record of each backup execution in the hotcopy library-checkpoint table, which needs to be created in advance Libraries and tables
For example: create databases hotcopy;
Use hotcopy;
Create table checkpoint (time_stamp timestamp not null,src varchar(32),dest varchar(32),msg varcher(255));
#Restore hotcopy backup library
Copy the database directory directly to the data directory of the database. Pay attention to the permissions of the directory.
The difference and personal understanding between #mysqldump and mysqlhotcopy
Mysqlhotcopy is only applicable to tables in the MYISAM engine;
To use mysqlhotcopy, you must install the perl-DBI and perl-DBD-mysql modules
Both will automatically lock the table when they are executed
Mysqlhotcopy’s during recovery The backup file needs to be copied to the target directory for overwriting, and mysqldump needs to import the backup file into the original database
#Recovery based on binary logs
Mysqlbinlog mysql-bin.XXXXX | mysql –u root –ppassword // Restore the entire mysql-bin.XXXX binary Log file
Mysqlbinlog –start-datatime="2014-02-28 10:00:00" –stop-datatime="2014-02-28 12:00:00" mysql-bin.XXXX | mysql –u root –ppassword //Restore some operations from 10 o'clock to 12 o'clock in mysql-bin.XXXX
Mysqlbinlog –start-position='3000' –stop-position='5000' mysql-bin.XXXX | mysql –u root –ppassword // Restore the part from 3000-5000 in mysql-bin.XXXX. You can use the mysqlbinlog tool to export the binary log and find the location. For example: mysqlbinlog /var/mysql-bin.XXXX >/tmp/binlogXXXX.txt
The above is the MYSQL learning summary (4): MYSQL recovery and backup content. For more related content, please pay attention to the PHP Chinese website ( www.php.cn)!

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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