explain usage and result analysis in MySQL (detailed explanation)
1. Introduction to EXPLAIN
Using the EXPLAIN keyword can simulate the optimizer's execution of SQL query statements, so as to know how MySQL processes your SQL statements. Analyze the performance bottlenecks of your query statements or table structures.
➤ Through EXPLAIN, we can analyze the following results:
- The reading sequence of the table
- The operation type of the data reading operation
- Which indexes can be used
- Which indexes are actually used
- References between tables
- How many rows of each table are queried by the optimizer
➤ Used as follows:
EXPLAIN SQL statement
EXPLAIN SELECT * FROM t1
Information contained in the execution plan
2. The meaning of each field in the execution plan
2.1 id
The sequence number of the select query, including a set of numbers, indicating the order in which select clauses or operation tables are executed in the query
There are 3 cases for the result of id
#The id is the same, the execution order is from top to bottom
[Summary] The order of loading the table is as shown in the table column above: t1 t3 t2id is different. If it is a subquery, the sequence number of the id will increase, and the larger the id value is. The higher the priority, the sooner it will be executed
-
, which refers to the table with id 2, that is, the derived table of the t3 table.## As shown in the figure, when the id is 1, the table displays
-
2.2 select_type
are used to indicate the type of query, mainly to distinguish between ordinary Complex queries such as queries, union queries, subqueries, etc.Common and commonly used values are as follows:
-
, the querySIMPLE
Simple select query does not contain subqueries or UNION -
subparts,If
in a PRIMARY query contains any complex the outermost query is marked as PRIMARY - ##SUBQUERY
- in SELECT Or the WHERE list contains the subquery
DERIVED The
subquery contained in the FROM list is marked as DERIVED(derivative), and MySQL will execute it recursively These subqueries put the
results in the temporary tableUNION If the second SELECT appears after UNION, it is marked as UNION: If UNION is included in In the subquery of the FROM clause, the outer SELECT will be marked as: DERIVED
UNION RESULT SELECT
###### that obtains the result from the UNION table 2.3 table###### refers to the currently executed table######2.4 type######type shows which type is used in the query. The types included in type include as shown in the figure below Several types: #########From best to worst are: ###system > const > eq_ref > ref > range > index > all
-
system
The table has only one row of records (equal to the system table). This is a special column of const type. It does not usually appear and this can be ignored. -
const
means that it is found through the index once, and const is used to compare the primary key or unique index. Because only one row of data is matched, it is very fast. If you place the primary key in the where list, MySQL can convert the query into a constant.
First perform a subquery to obtain a result of the d1 temporary table. The subquery condition is id = 1, which is a constant, so the type is const. The id of 1 is equivalent to querying only one record, so the type is system. -
eq_ref
Unique index scan, for each index key, only one record in the table matches it. Commonly seen in primary key or unique index scans -
ref
Non-unique index scans return all rows that match a single value. This is essentially an index access. It returns all rows that match a certain value. For single value rows, however, it may find multiple matching rows, so it should be a mix of find and scan. -
range
Retrieve only rows in a given range, use an index to select rows, the key column shows which index is used, usually in your where statement For queries such as between, , in, etc., this range scan index is better than a full table scan, because it only needs to start at a certain point in the index and end at another point, without scanning the entire index. -
index
Full Index Scan, the difference between Index and All is that the index type only traverses the index tree. This is usually faster than ALL because index files are usually smaller than data files. (That is to say, although all and Index both read the entire table, index is read from the index, and all is read from the hard disk)
id is the primary key, so there is a primary key index -
all
Full Table Scan will traverse the entire table to find matching rows
2.5 possible_keys and key
possible_keys
Displays one or more indexes that may be applied to this table. If an index exists on the field involved in the query, the index will be listed, but may not be actually used by the query.
key
- The actual index used. If it is NULL, no index is used. (Possible reasons include no index being created or index failure)
- If
covering index is used in the query
(the field to be queried after selecting is exactly the same as the created index field) the same), the index only appears in the key list
2.6 key_len
represents the number of bytes used in the index, This column can be used to calculate the length of the index used in the query. The shorter the length, the better without losing accuracy. The value displayed by key_len is the maximum possible length of the index field, not the actual length used. That is, key_len is calculated based on the table definition, not retrieved from the table.
2.9.2 Using temporary(十死无生)
使用了用临时表保存中间结果,MySQL在对查询结果排序时使用临时表。常见于排序order by和分组查询group by。
2.9.3 Using index(发财了)
表示相应的select操作中使用了覆盖索引(Covering Index),避免访问了表的数据行,效率不错。如果同时出现using where,表明索引被用来执行索引键值的查找;如果没有同时出现using where,表明索引用来读取数据而非执行查找动作。
2.9.4 Using where
表明使用了where过滤
2.9.5 Using join buffer
表明使用了连接缓存,比如说在查询的时候,多表join的次数非常多,那么将配置文件中的缓冲区的join buffer调大一些。
2.9.6 impossible where
where子句的值总是false
,不能用来获取任何元组
SELECT * FROM t_user WHERE id = '1' and id = '2'
2.9.7 select tables optimized away
在没有GROUPBY子句的情况下,基于索引优化MIN/MAX操作或者对于MyISAM存储引擎优化COUNT(*)操作,不必等到执行阶段再进行计算,查询执行计划生成的阶段即完成优化。
2.9.8 distinct
优化distinct操作,在找到第一匹配的元组后即停止找同样值的动作
3. 实例分析
- 执行顺序1:select_type为UNION,说明第四个select是UNION里的第二个select,最先执行【select name,id from t2】
- 执行顺序2:id为3,是整个查询中第三个select的一部分。因查询包含在from中,所以为DERIVED【select id,name from t1 where other_column=’’】
- 执行顺序3:select列表中的子查询select_type为subquery,为整个查询中的第二个select【select id from t3】
- 执行顺序4:id列为1,表示是UNION里的第一个select,select_type列的primary表示该查询为外层查询,table列被标记为
<derived3></derived3>
,表示查询结果来自一个衍生表,其中derived3中的3代表该查询衍生自第三个select查询,即id为3的select。【select d1.name …】 执行顺序5:代表从UNION的临时表中读取行的阶段,table列的表示用第一个和第四个select的结果进行UNION操作。【两个结果union操作】
推荐学习:mysql教程
The above is the detailed content of explain usage and result analysis in MySQL (detailed explanation). For more information, please follow other related articles on the PHP Chinese website!

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

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

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











The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

The process of starting MySQL in Docker consists of the following steps: Pull the MySQL image to create and start the container, set the root user password, and map the port verification connection Create the database and the user grants all permissions to the database

Laravel is a PHP framework for easy building of web applications. It provides a range of powerful features including: Installation: Install the Laravel CLI globally with Composer and create applications in the project directory. Routing: Define the relationship between the URL and the handler in routes/web.php. View: Create a view in resources/views to render the application's interface. Database Integration: Provides out-of-the-box integration with databases such as MySQL and uses migration to create and modify tables. Model and Controller: The model represents the database entity and the controller processes HTTP requests.

I encountered a tricky problem when developing a small application: the need to quickly integrate a lightweight database operation library. After trying multiple libraries, I found that they either have too much functionality or are not very compatible. Eventually, I found minii/db, a simplified version based on Yii2 that solved my problem perfectly.

MySQL and phpMyAdmin are powerful database management tools. 1) MySQL is used to create databases and tables, and to execute DML and SQL queries. 2) phpMyAdmin provides an intuitive interface for database management, table structure management, data operations and user permission management.

Article summary: This article provides detailed step-by-step instructions to guide readers on how to easily install the Laravel framework. Laravel is a powerful PHP framework that speeds up the development process of web applications. This tutorial covers the installation process from system requirements to configuring databases and setting up routing. By following these steps, readers can quickly and efficiently lay a solid foundation for their Laravel project.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.
