How to use sql statement distinct
The DISTINCT keyword in SQL is used to remove duplicate rows from query results. It keeps unique rows for each table and discards duplicate values. When used, follow the result column immediately at the beginning of the SELECT statement, for example: SELECT DISTINCT column name 1, column name 2 FROM table name; the benefits of DISTINCT include eliminating duplicate values, simplifying data analysis, improving query performance, and ensuring uniqueness of results. But it only removes duplicate rows, does not affect the in-line field sorting, and may cause a degradation in query performance.
Use of DISTINCT keyword in SQL
What is DISTINCT?
The DISTINCT keyword is used to remove duplicate rows from SQL query results. It keeps unique rows for each table in the query and discards duplicate values.
How to use DISTINCT?
The DISTINCT keyword is used to start the SELECT statement, followed by the query result column:
<code class="sql">SELECT DISTINCT 列名1, 列名2 FROM 表名;</code>
For example:
Suppose there is the following table:
<code>| id | name | |---|---| | 1 | John | | 2 | Mary | | 3 | John |</code>
The following query uses the DISTINCT keyword to delete duplicate lines:
<code class="sql">SELECT DISTINCT name FROM 表名;</code>
Output:
<code>| name | |---|---| | John | | Mary |</code>
Benefits of DISTINCT:
Using DISTINCT can simplify data analysis because it:
- Eliminate duplicate values to make the result more concise.
- Improve query performance because the database does not have to process duplicate data.
- Make sure that only unique values are included in the result.
Notes:
- DISTINCT Only duplicate rows are deleted and does not affect the sort of fields within the row.
- If the ALL keyword is not used in the query, DISTINCT is enabled by default.
- In some cases, using DISTINCT can result in a degradation in query performance because it requires additional processing of the data.
The above is the detailed content of How to use sql statement distinct. 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

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



Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

The article introduces the operation of MySQL database. First, you need to install a MySQL client, such as MySQLWorkbench or command line client. 1. Use the mysql-uroot-p command to connect to the server and log in with the root account password; 2. Use CREATEDATABASE to create a database, and USE select a database; 3. Use CREATETABLE to create a table, define fields and data types; 4. Use INSERTINTO to insert data, query data, update data by UPDATE, and delete data by DELETE. Only by mastering these steps, learning to deal with common problems and optimizing database performance can you use MySQL efficiently.

MySQL has a free community version and a paid enterprise version. The community version can be used and modified for free, but the support is limited and is suitable for applications with low stability requirements and strong technical capabilities. The Enterprise Edition provides comprehensive commercial support for applications that require a stable, reliable, high-performance database and willing to pay for support. Factors considered when choosing a version include application criticality, budgeting, and technical skills. There is no perfect option, only the most suitable option, and you need to choose carefully according to the specific situation.

How to create tables using SQL statements in SQL Server: Open SQL Server Management Studio and connect to the database server. Select the database to create the table. Enter the CREATE TABLE statement to specify the table name, column name, data type, and constraints. Click the Execute button to create the table.

MySQL can handle multiple concurrent connections and use multi-threading/multi-processing to assign independent execution environments to each client request to ensure that they are not disturbed. However, the number of concurrent connections is affected by system resources, MySQL configuration, query performance, storage engine and network environment. Optimization requires consideration of many factors such as code level (writing efficient SQL), configuration level (adjusting max_connections), hardware level (improving server configuration).

MySQL uses shared locks and exclusive locks to manage concurrency, providing three lock types: table locks, row locks and page locks. Row locks can improve concurrency, and use the FOR UPDATE statement to add exclusive locks to rows. Pessimistic locks assume conflicts, and optimistic locks judge the data through the version number. Common lock table problems manifest as slow querying, use the SHOW PROCESSLIST command to view the queries held by the lock. Optimization measures include selecting appropriate indexes, reducing transaction scope, batch operations, and optimizing SQL statements.

There is no absolutely optimal MySQL database backup and recovery solution, and it needs to be selected based on the amount of data, business importance, RTO and RPO. 1. Logical backup (mysqldump) is simple and easy to use, suitable for small databases, but slow and huge files; 2. Physical backup (xtrabackup) is fast, suitable for large databases, but is more complicated to use. The backup strategy needs to consider the backup frequency (RPO decision), backup method (data quantity and time requirement decision) and storage location (off-site storage is more secure), and regularly test the backup and recovery process to avoid backup file corruption, permission problems, insufficient storage space, network interruption and untested issues, and ensure data security.

This article introduces a detailed tutorial on joining three tables using SQL statements to guide readers step by step how to effectively correlate data in different tables. With examples and detailed syntax explanations, this article will help you master the joining techniques of tables in SQL, so that you can efficiently retrieve associated information from the database.
