How to Unpivot Columns into Rows in MySQL?
Tricks to convert columns to rows in MySQL
When working with column-organized data in MySQL, you may need to convert it to a format that presents the data in rows. This process is called unpivoting.
Question:
Consider the following form:
<code>ID | a | b | c 1 | a1 | b1 | c1 2 | a2 | b2 | c2</code>
The goal is to convert columns into rows to get a table with the following structure:
<code>ID | 值 | 列名 1 | a1 | a 1 | b1 | b 1 | c1 | c 2 | a2 | a 2 | b2 | b 2 | c2 | c</code>
Solution:
Unlike some other databases, MySQL does not have a built-in unwinding function. To get the results you want, you can use the UNION ALL
query to combine separate queries that selectively convert each column into rows:
SELECT id, 'a' AS col, a AS value FROM yourtable UNION ALL SELECT id, 'b' AS col, b AS value FROM yourtable UNION ALL SELECT id, 'c' AS col, c AS value FROM yourtable;
This query generates three sets of data: one for each column. Each group contains the ID, column name, and corresponding value.
Use CROSS JOIN:
Another way is to use CROSS JOIN
:
SELECT t.id, c.col, CASE c.col WHEN 'a' THEN a WHEN 'b' THEN b WHEN 'c' THEN c END AS data FROM yourtable t CROSS JOIN ( SELECT 'a' AS col UNION ALL SELECT 'b' UNION ALL SELECT 'c' ) c;
In this case, CROSS JOIN
creates a Cartesian product between the rows of yourtable
and the rows of the subquery that generates the column names. The CASE
statement maps each column name to its corresponding column value.
Both methods effectively unwind the data, giving you the row-based structure you want.
The above is the detailed content of How to Unpivot Columns into Rows in MySQL?. 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



The article discusses using MySQL's ALTER TABLE statement to modify tables, including adding/dropping columns, renaming tables/columns, and changing column data types.

Article discusses configuring SSL/TLS encryption for MySQL, including certificate generation and verification. Main issue is using self-signed certificates' security implications.[Character count: 159]

Article discusses popular MySQL GUI tools like MySQL Workbench and phpMyAdmin, comparing their features and suitability for beginners and advanced users.[159 characters]

Article discusses strategies for handling large datasets in MySQL, including partitioning, sharding, indexing, and query optimization.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

The article discusses dropping tables in MySQL using the DROP TABLE statement, emphasizing precautions and risks. It highlights that the action is irreversible without backups, detailing recovery methods and potential production environment hazards.

Article discusses using foreign keys to represent relationships in databases, focusing on best practices, data integrity, and common pitfalls to avoid.

The article discusses creating indexes on JSON columns in various databases like PostgreSQL, MySQL, and MongoDB to enhance query performance. It explains the syntax and benefits of indexing specific JSON paths, and lists supported database systems.
