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MySQL Query execution process
MySQL Query execution path
1. the client sends a query to the server;
2. the server first checks the query cache. if the cache is hit, the results stored in the cache are immediately returned. Otherwise, the system
High Performance MySQL Reading Notes-query performance optimization, high performance mysql
For high-performance database operations, it is not enough to design the optimal database table structure and build the best index. You also need to design
1.php Execution Time:$begin=Microtime(true);//gets the time that the program started executing//some code here to execute$stop=Microtime(true);//gets the time that the program execution endedList($m 0,$s 0)=Explode(" ",$begin);List($m 1,$s
MySQL Query performance optimizationThe optimization of MySQL query performance involves many aspects, including library table structure, establishing reasonable index and reasonable query. The library table structure includes how to design
Php:It is usually the beginning of the code you want to check to record a time, the end of the record a time. Take the difference value,the efficiency of database SQLSQL explain (MySQL), enable slow query log to record slow queries. Usually also
For high-performance database operation, it is not enough to design the optimal library table structure, and to establish the best index, but also need reasonable design query. If the query is poorly written, high performance cannot be achieved even
This article describes how to query logs and slow query logs in MySQL. It also describes how to use the Mysqldumpslow log analysis tool that comes with MySQL. For more information, see
I. query logs
Query all the queries in MySQL by using "-- log [=
MySQL execution Plan explain detailed 2015-08-10 13:56:27Category: MySQLThe explain command is the primary way to see how the query optimizer decides to execute a query.This feature has limitations and does not always tell the truth, but its output
A basic tutorial on querying logs and slow query logs in MySQL,
I. query logs
Query all the queries in MySQL by using "-- log [= file_name. Because all the queries, including all the select statements, are recorded, and the size is relatively large,
1. Full backup and incremental backup 1.1 full-scale backupFull-volume data is all the data in the database, and a full backup is the backup of all the data in the database.Back Up all libraries:mysqldump -uroot -p123456 -S /data/3306/mysql.sock -F -
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