Home Database SQL How to use sql distinct

How to use sql distinct

Apr 10, 2025 pm 12:06 PM

The DISTINCT operator is used to exclude duplicate rows in SQL queries and returns only unique values. It is suitable for scenarios such as obtaining a list of unique values, counting the number of unique values, and using it in combination with GROUP BY.

How to use sql distinct

Usage of DISTINCT in SQL

The DISTINCT operator is used to exclude duplicate rows from SQL query results and returns only unique values. It is used to ensure that the result set does not contain any duplicate data.

grammar

 <code>SELECT DISTINCT column_name(s) FROM table_name;</code>
Copy after login

in:

  • column_name(s) : Specifies the column to which to perform a DISTINCT operation. Multiple columns can be specified.
  • table_name : The data table to query.

usage

Common scenarios for using the DISTINCT operator include:

  • Get a list of unique values ​​in the table:

     <code>SELECT DISTINCT name FROM employees;</code>
    Copy after login
  • The number of unique values ​​is counted:

     <code>SELECT COUNT(DISTINCT name) FROM employees;</code>
    Copy after login
  • Use in combination with GROUP BY:
    DISTINCT can be used with GROUP BY to group and count unique values ​​under specific conditions.

     <code>SELECT department, COUNT(DISTINCT employee_id) FROM employees GROUP BY department;</code>
    Copy after login

Things to note

  • The DISTINCT operator can only be used in SELECT statements.
  • If DISTINCT is used in a column, the values ​​in other columns are also excluded, even if they are not repeated.
  • The DISTINCT operator may affect query performance on large datasets because it requires additional sorting and comparison steps.

The above is the detailed content of How to use sql distinct. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. How to Fix Audio if You Can't Hear Anyone
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
WWE 2K25: How To Unlock Everything In MyRise
4 weeks ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

What are the different types of data partitioning in SQL (horizontal, vertical)? What are the different types of data partitioning in SQL (horizontal, vertical)? Mar 13, 2025 pm 02:01 PM

The article discusses horizontal and vertical data partitioning in SQL, focusing on their impact on performance and scalability. It compares benefits and considerations for choosing between them.

How do I use aggregate functions in SQL to summarize data (SUM, AVG, COUNT, MIN, MAX)? How do I use aggregate functions in SQL to summarize data (SUM, AVG, COUNT, MIN, MAX)? Mar 13, 2025 pm 01:50 PM

The article explains how to use SQL aggregate functions (SUM, AVG, COUNT, MIN, MAX) to summarize data, detailing their uses and differences, and how to combine them in queries.Character count: 159

What are the security risks of using dynamic SQL and how can I mitigate them? What are the security risks of using dynamic SQL and how can I mitigate them? Mar 13, 2025 pm 01:59 PM

The article discusses security risks of dynamic SQL, focusing on SQL injection, and provides mitigation strategies like using parameterized queries and input validation.

What are the different transaction isolation levels in SQL (READ UNCOMMITTED, READ COMMITTED, REPEATABLE READ, SERIALIZABLE)? What are the different transaction isolation levels in SQL (READ UNCOMMITTED, READ COMMITTED, REPEATABLE READ, SERIALIZABLE)? Mar 13, 2025 pm 01:56 PM

The article discusses SQL transaction isolation levels: READ UNCOMMITTED, READ COMMITTED, REPEATABLE READ, and SERIALIZABLE. It examines their impact on data consistency and performance, noting that higher isolation ensures greater consistency but ma

What are the ACID properties of transactions in SQL? What are the ACID properties of transactions in SQL? Mar 13, 2025 pm 01:54 PM

The article discusses the ACID properties (Atomicity, Consistency, Isolation, Durability) in SQL transactions, crucial for maintaining data integrity and reliability.

How do I comply with data privacy regulations (GDPR, CCPA) using SQL? How do I comply with data privacy regulations (GDPR, CCPA) using SQL? Mar 18, 2025 am 11:22 AM

Article discusses using SQL for GDPR and CCPA compliance, focusing on data anonymization, access requests, and automatic deletion of outdated data.(159 characters)

How do I secure my SQL database against common vulnerabilities like SQL injection? How do I secure my SQL database against common vulnerabilities like SQL injection? Mar 18, 2025 am 11:18 AM

The article discusses securing SQL databases against vulnerabilities like SQL injection, emphasizing prepared statements, input validation, and regular updates.

How do I implement data partitioning in SQL for performance and scalability? How do I implement data partitioning in SQL for performance and scalability? Mar 18, 2025 am 11:14 AM

Article discusses implementing data partitioning in SQL for better performance and scalability, detailing methods, best practices, and monitoring tools.

See all articles