search
HomeDatabaseMysql TutorialWhy Does MySQL Allow Non-Aggregated Columns in GROUP BY Queries?

Why Does MySQL Allow Non-Aggregated Columns in GROUP BY Queries?

MySQL: Understanding the Allowance of Selecting Non-Aggregated Columns in GROUP BY

In MySQL, you may encounter scenarios where a view like the following is permissible:

SELECT
     AVG(table_name.col1),
     AVG(table_name.col2),
     AVG(table_name.col3),
     table_name.personID,
     table_name.col4
FROM table_name
GROUP BY table_name.personID;

This query includes an aggregate function for col1, col2, and col3, but it also selects col4 without any aggregation. Normally, such a query would be considered invalid in other database systems like Microsoft SQL Server.

In MySQL, however, this behavior is allowed. It's important to understand why:

Arbitrary Value Selection

When selecting non-aggregated columns in a GROUP BY query, MySQL selects an arbitrary value from the group. This typically corresponds to the value from the row stored first in the group.

Ambiguous Queries

This feature can lead to ambiguous queries, where the selected value for the non-aggregated column may vary based on the order of rows in the group. For instance, the query below could return different values for col4 for the same personID depending on row ordering:

SELECT AVG(table1.col1), table1.personID, persons.col4
FROM table1 JOIN persons ON (table1.personID = persons.id)
GROUP BY table1.personID;

Functional Dependency

To avoid ambiguity, it's crucial to select columns that are functionally dependent on the columns in the GROUP BY criteria. This means that there should be only one possible value for the "ambiguous" column for each unique value of the grouping column(s).

ONLY_FULL_GROUP_BY Mode

MySQL provides the ONLY_FULL_GROUP_BY SQL mode, which can be enabled to make MySQL adhere to the ANSI SQL standard. In this mode, selecting non-aggregated columns in a GROUP BY query will result in an error, unless those columns are functionally dependent on the grouping columns.

Conclusion

While MySQL allows selecting non-aggregated columns in GROUP BY queries, it's essential to be aware of the potential for ambiguous results. To ensure deterministic queries, it's recommended to rewrite them to be unambiguously grouped by functionally dependent columns or to enable the ONLY_FULL_GROUP_BY mode.

The above is the detailed content of Why Does MySQL Allow Non-Aggregated Columns in GROUP BY Queries?. 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
What are stored procedures in MySQL?What are stored procedures in MySQL?May 01, 2025 am 12:27 AM

Stored procedures are precompiled SQL statements in MySQL for improving performance and simplifying complex operations. 1. Improve performance: After the first compilation, subsequent calls do not need to be recompiled. 2. Improve security: Restrict data table access through permission control. 3. Simplify complex operations: combine multiple SQL statements to simplify application layer logic.

How does query caching work in MySQL?How does query caching work in MySQL?May 01, 2025 am 12:26 AM

The working principle of MySQL query cache is to store the results of SELECT query, and when the same query is executed again, the cached results are directly returned. 1) Query cache improves database reading performance and finds cached results through hash values. 2) Simple configuration, set query_cache_type and query_cache_size in MySQL configuration file. 3) Use the SQL_NO_CACHE keyword to disable the cache of specific queries. 4) In high-frequency update environments, query cache may cause performance bottlenecks and needs to be optimized for use through monitoring and adjustment of parameters.

What are the advantages of using MySQL over other relational databases?What are the advantages of using MySQL over other relational databases?May 01, 2025 am 12:18 AM

The reasons why MySQL is widely used in various projects include: 1. High performance and scalability, supporting multiple storage engines; 2. Easy to use and maintain, simple configuration and rich tools; 3. Rich ecosystem, attracting a large number of community and third-party tool support; 4. Cross-platform support, suitable for multiple operating systems.

How do you handle database upgrades in MySQL?How do you handle database upgrades in MySQL?Apr 30, 2025 am 12:28 AM

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

What are the different backup strategies you can use for MySQL?What are the different backup strategies you can use for MySQL?Apr 30, 2025 am 12:28 AM

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

What is MySQL clustering?What is MySQL clustering?Apr 30, 2025 am 12:28 AM

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

How do you optimize database schema design for performance in MySQL?How do you optimize database schema design for performance in MySQL?Apr 30, 2025 am 12:27 AM

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

How can you optimize MySQL performance?How can you optimize MySQL performance?Apr 30, 2025 am 12:26 AM

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi

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

MinGW - Minimalist GNU for Windows

MinGW - Minimalist GNU for Windows

This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

SAP NetWeaver Server Adapter for Eclipse

SAP NetWeaver Server Adapter for Eclipse

Integrate Eclipse with SAP NetWeaver application server.

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.

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment