One: Connection query:Connection query is to connect two or more tables according to a certain condition, select the required data, the connection query query two or more tables at the same time, when there are fields representing the same meaning
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
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
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 [=
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
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 -
MySQL Slow Query Log (Slow Query Log), mysqlslow
Like most relational databases, log files are an important part of MySQL databases. MySQL has several different log files, such as error log files, binary logs, common logs, and slow query logs. These
This article is "high-performance MySQL" Reading notes
Slow Query Basics: Optimizing data accessThe most basic reason for poor query performance is that there is too much data to access. For inefficient queries, we found that the following two
1 , MySQL query cacheMany database products are able to cache the execution plan of a query, and the SQL parsing and execution plan generation phases can be skipped for the same type of SQL. MySQL also has a different type of cache: Cache the full
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