


MySQL Manual Version 5.0.20-MySQL Optimization (2) (1)_PHP Tutorial
7.2.1 EXPLAIN syntax (get SELECT related information)
EXPLAIN tbl_name
or:
EXPLAIN The SELECT select_options
EXPLAIN statement can be used as a synonym for DESCRIBE, and can also be used to obtain information about a SELECT statement to be executed by MySQL.
EXPLAIN tbl_name syntax is the same as DESCRIBE tbl_name or SHOW COLUMNS FROM tbl_name.
When the keyword EXPLAIN is used before a SELECT statement, MYSQL will explain how to run the SELECT statement. It shows how the tables are connected, the order of the connections, and other information.
This chapter mainly describes the second usage of EXPLAIN.
With the help of EXPLAIN, you will know when to add an index to the table to use the index to find records and make SELECT run faster.
If there are some problems caused by improper use of indexes, you can run ANALYZE TABLE to update the statistics of the table, such as the cardinality of the keys, which can help you make optimization decisions Better choice. See "14.5.2.1 ANALYZE TABLE Syntax" for details.
You can also see whether the optimizer joins the data tables in the best order. In order for the optimizer to join in the order of table names in the SELECT statement, you can use SELECT STRAIGHT_JOIN at the beginning of the query instead of just SELECT.
EXPLAIN returns a row of records, which includes information about each table used in the SELECT statement. The tables are listed in the results in the order they are read in the query MySQL is about to execute. MySQL uses a method of scanning multiple connections (single-sweep, multi-join) to solve connections. This means that MySQL reads a record from the first table, then looks up the corresponding record in the second table, then looks it up in the third table, and so on. When all tables have been scanned, it outputs the selected fields and backtracks through all tables until it is not found, because there may be multiple matching records in some tables. The next record will be read from this table, and then from the next A table begins to continue processing.

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

You can open phpMyAdmin through the following steps: 1. Log in to the website control panel; 2. Find and click the phpMyAdmin icon; 3. Enter MySQL credentials; 4. Click "Login".

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

Redis uses a single threaded architecture to provide high performance, simplicity, and consistency. It utilizes I/O multiplexing, event loops, non-blocking I/O, and shared memory to improve concurrency, but with limitations of concurrency limitations, single point of failure, and unsuitable for write-intensive workloads.

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

Effective monitoring of Redis databases is critical to maintaining optimal performance, identifying potential bottlenecks, and ensuring overall system reliability. Redis Exporter Service is a powerful utility designed to monitor Redis databases using Prometheus. This tutorial will guide you through the complete setup and configuration of Redis Exporter Service, ensuring you seamlessly build monitoring solutions. By studying this tutorial, you will achieve fully operational monitoring settings
