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!

In database optimization, indexing strategies should be selected according to query requirements: 1. When the query involves multiple columns and the order of conditions is fixed, use composite indexes; 2. When the query involves multiple columns but the order of conditions is not fixed, use multiple single-column indexes. Composite indexes are suitable for optimizing multi-column queries, while single-column indexes are suitable for single-column queries.

To optimize MySQL slow query, slowquerylog and performance_schema need to be used: 1. Enable slowquerylog and set thresholds to record slow query; 2. Use performance_schema to analyze query execution details, find out performance bottlenecks and optimize.

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.

MySQL asynchronous master-slave replication enables data synchronization through binlog, improving read performance and high availability. 1) The master server record changes to binlog; 2) The slave server reads binlog through I/O threads; 3) The server SQL thread applies binlog to synchronize data.

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

The installation and basic operations of MySQL include: 1. Download and install MySQL, set the root user password; 2. Use SQL commands to create databases and tables, such as CREATEDATABASE and CREATETABLE; 3. Execute CRUD operations, use INSERT, SELECT, UPDATE, DELETE commands; 4. Create indexes and stored procedures to optimize performance and implement complex logic. With these steps, you can build and manage MySQL databases from scratch.

InnoDBBufferPool improves the performance of MySQL databases by loading data and index pages into memory. 1) The data page is loaded into the BufferPool to reduce disk I/O. 2) Dirty pages are marked and refreshed to disk regularly. 3) LRU algorithm management data page elimination. 4) The read-out mechanism loads the possible data pages in advance.

MySQL is suitable for beginners because it is simple to install, powerful and easy to manage data. 1. Simple installation and configuration, suitable for a variety of operating systems. 2. Support basic operations such as creating databases and tables, inserting, querying, updating and deleting data. 3. Provide advanced functions such as JOIN operations and subqueries. 4. Performance can be improved through indexing, query optimization and table partitioning. 5. Support backup, recovery and security measures to ensure data security and consistency.


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

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

Atom editor mac version download
The most popular open source editor

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 latest version

SublimeText3 Chinese version
Chinese version, very easy to use