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共3个线程参与以上同步过程,他们分别为:
- Master
- Binlog Dump线程:Has sent all binlog to slave; waiting for binlog to be updated;(需同步帐号)
- Slave
- Slave IO线程:Waiting for master to send event;(需system user)
- Slave SQL线程:Has read all relay log; waiting for the slave I/O thread to update it;(需system user)

MySQLhandlesconcurrencyusingamixofrow-levelandtable-levellocking,primarilythroughInnoDB'srow-levellocking.ComparedtootherRDBMS,MySQL'sapproachisefficientformanyusecasesbutmayfacechallengeswithdeadlocksandlacksadvancedfeatureslikePostgreSQL'sSerializa

MySQLhandlestransactionseffectivelyusingtheInnoDBengine,supportingACIDpropertiessimilartoPostgreSQLandOracle.1)MySQLusesREPEATABLEREADasthedefaultisolationlevel,whichcanbeadjustedtoREADCOMMITTEDforhigh-trafficscenarios.2)Itoptimizesperformancewithabu

MySQL data types are divided into numerical, date and time, string, binary and spatial types. Selecting the correct type can optimize database performance and data storage.

Best practices include: 1) Understanding the data structure and MySQL processing methods, 2) Appropriate indexing, 3) Avoid SELECT*, 4) Using appropriate JOIN types, 5) Use subqueries with caution, 6) Analyzing queries with EXPLAIN, 7) Consider the impact of queries on server resources, 8) Maintain the database regularly. These practices can make MySQL queries not only fast, but also maintainability, scalability and resource efficiency.

MySQLisbetterforspeedandsimplicity,suitableforwebapplications;PostgreSQLexcelsincomplexdatascenarioswithrobustfeatures.MySQLisidealforquickprojectsandread-heavytasks,whilePostgreSQLispreferredforapplicationsrequiringstrictdataintegrityandadvancedSQLf

MySQL processes data replication through three modes: asynchronous, semi-synchronous and group replication. 1) Asynchronous replication performance is high but data may be lost. 2) Semi-synchronous replication improves data security but increases latency. 3) Group replication supports multi-master replication and failover, suitable for high availability requirements.

The EXPLAIN statement can be used to analyze and improve SQL query performance. 1. Execute the EXPLAIN statement to view the query plan. 2. Analyze the output results, pay attention to access type, index usage and JOIN order. 3. Create or adjust indexes based on the analysis results, optimize JOIN operations, and avoid full table scanning to improve query efficiency.

Using mysqldump for logical backup and MySQLEnterpriseBackup for hot backup are effective ways to back up MySQL databases. 1. Use mysqldump to back up the database: mysqldump-uroot-pmydatabase>mydatabase_backup.sql. 2. Use MySQLEnterpriseBackup for hot backup: mysqlbackup--user=root-password=password--backup-dir=/path/to/backupbackup. When recovering, use the corresponding life


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