search
HomeDatabaseSQLHow to differentiate between left outer join, right outer join and full outer join?

Left outer join will return all records in the left table and records equal to the join field in the right table; if there is no data in the right table, it will be null. A right outer join will return all records in the right table that are equal to the join fields in the left table; null if there is no data in the left table. A full outer join will return all records in the left and right tables that are equal to the join fields in the left and right tables.

How to differentiate between left outer join, right outer join and full outer join?

In SQL, outer joins include left join (left join), right join (right join), and full outer join (full join).

  • Left outer join (left join): Returns all records in the left table that are equal to the join fields in the right table.

  • Right outer join (right join): Returns all records in the right table that are equal to the join fields in the left table.

  • Full outer join: Returns all records in the left and right tables that are equal to the join fields in the left and right tables.

First put two tables, one student table; one grades table

How to differentiate between left outer join, right outer join and full outer join?

How to differentiate between left outer join, right outer join and full outer join?

# #Left outer join

will return all rows from the right table. If a row in the left table does not have a matching row in the right table, a null value will be returned for the right table. Left join: select *from Student LEFT JOIN Score ON Student.s_id=Score.s_id

With the left table as In the main table, the right table has no data and is null

How to differentiate between left outer join, right outer join and full outer join?

Right outer join

will return all the rows in the right table. If a row in the right table does not have a matching row in the left table, a null value will be returned for the left table;

The right table is the main table, and if there is no data in the left table, null

select *from Student right JOIN Score ON Student.s_id=Score.s_id

How to differentiate between left outer join, right outer join and full outer join?

Full outer join (FULL JOIN or FULL OUTER JOIN)

Full outer join returns all rows in the left and right tables. When a row has no matching row in another table, the other table's select list column contains null values. If there are matching rows between tables, the entire result set row contains the data values ​​from the base table.

select *from Student full  JOIN Score ON Student.s_id=Score.s_id
select *from Student full outer JOIN Score ON Student.s_id=Score.s_id

How to differentiate between left outer join, right outer join and full outer join?

Related recommendations: "

SQL Tutorial"

The above is the detailed content of How to differentiate between left outer join, right outer join and full outer join?. For more information, please follow other related articles on the PHP Chinese website!

Statement
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
SQL Security Best Practices: Protecting Your Database from VulnerabilitiesSQL Security Best Practices: Protecting Your Database from VulnerabilitiesMay 09, 2025 am 12:23 AM

Best practices to prevent SQL injection include: 1) using parameterized queries, 2) input validation, 3) minimum permission principle, and 4) using ORM framework. Through these methods, the database can be effectively protected from SQL injection and other security threats.

MySQL: A Practical Application of SQLMySQL: A Practical Application of SQLMay 08, 2025 am 12:12 AM

MySQL is popular because of its excellent performance and ease of use and maintenance. 1. Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2. Insert and query data: operate data through INSERTINTO and SELECT statements. 3. Optimize query: Use indexes and EXPLAIN statements to improve performance.

Comparing SQL and MySQL: Syntax and FeaturesComparing SQL and MySQL: Syntax and FeaturesMay 07, 2025 am 12:11 AM

The difference and connection between SQL and MySQL are as follows: 1.SQL is a standard language used to manage relational databases, and MySQL is a database management system based on SQL. 2.SQL provides basic CRUD operations, and MySQL adds stored procedures, triggers and other functions on this basis. 3. SQL syntax standardization, MySQL has been improved in some places, such as LIMIT used to limit the number of returned rows. 4. In the usage example, the query syntax of SQL and MySQL is slightly different, and the JOIN and GROUPBY of MySQL are more intuitive. 5. Common errors include syntax errors and performance issues. MySQL's EXPLAIN command can be used for debugging and optimizing queries.

SQL: A Guide for Beginners - Is It Easy to Learn?SQL: A Guide for Beginners - Is It Easy to Learn?May 06, 2025 am 12:06 AM

SQLiseasytolearnforbeginnersduetoitsstraightforwardsyntaxandbasicoperations,butmasteringitinvolvescomplexconcepts.1)StartwithsimplequerieslikeSELECT,INSERT,UPDATE,DELETE.2)PracticeregularlyusingplatformslikeLeetCodeorSQLFiddle.3)Understanddatabasedes

SQL's Versatility: From Simple Queries to Complex OperationsSQL's Versatility: From Simple Queries to Complex OperationsMay 05, 2025 am 12:03 AM

The diversity and power of SQL make it a powerful tool for data processing. 1. The basic usage of SQL includes data query, insertion, update and deletion. 2. Advanced usage covers multi-table joins, subqueries, and window functions. 3. Common errors include syntax, logic and performance issues, which can be debugged by gradually simplifying queries and using EXPLAIN commands. 4. Performance optimization tips include using indexes, avoiding SELECT* and optimizing JOIN operations.

SQL and Data Analysis: Extracting Insights from InformationSQL and Data Analysis: Extracting Insights from InformationMay 04, 2025 am 12:10 AM

The core role of SQL in data analysis is to extract valuable information from the database through query statements. 1) Basic usage: Use GROUPBY and SUM functions to calculate the total order amount for each customer. 2) Advanced usage: Use CTE and subqueries to find the product with the highest sales per month. 3) Common errors: syntax errors, logic errors and performance problems. 4) Performance optimization: Use indexes, avoid SELECT* and optimize JOIN operations. Through these tips and practices, SQL can help us extract insights from our data and ensure queries are efficient and easy to maintain.

Beyond Retrieval: The Power of SQL in Database ManagementBeyond Retrieval: The Power of SQL in Database ManagementMay 03, 2025 am 12:09 AM

The role of SQL in database management includes data definition, operation, control, backup and recovery, performance optimization, and data integrity and consistency. 1) DDL is used to define and manage database structures; 2) DML is used to operate data; 3) DCL is used to manage access rights; 4) SQL can be used for database backup and recovery; 5) SQL plays a key role in performance optimization; 6) SQL ensures data integrity and consistency.

SQL: Simple Steps to Master the BasicsSQL: Simple Steps to Master the BasicsMay 02, 2025 am 12:14 AM

SQLisessentialforinteractingwithrelationaldatabases,allowinguserstocreate,query,andmanagedata.1)UseSELECTtoextractdata,2)INSERT,UPDATE,DELETEtomanagedata,3)Employjoinsandsubqueriesforadvancedoperations,and4)AvoidcommonpitfallslikeomittingWHEREclauses

See all articles

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

Video Face Swap

Video Face Swap

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

Hot Tools

Safe Exam Browser

Safe Exam Browser

Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

SublimeText3 Linux new version

SublimeText3 Linux new version

SublimeText3 Linux latest version

DVWA

DVWA

Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

SublimeText3 English version

SublimeText3 English version

Recommended: Win version, supports code prompts!

Dreamweaver Mac version

Dreamweaver Mac version

Visual web development tools