MySQL Query to Convert Rows to Columns Based on Multiple Columns
Introduction:
Dynamically converting rows to columns is a common task in data manipulation. In this article, we explore a solution using a MySQL query, extending the capabilities of a previous solution that handled a single column conversion.
Problem:
You have a table with multiple rows representing data and corresponding prices, organized by order and item. The goal is to transform this data into a table where each order is represented as a column and each item is represented as a row, with the corresponding prices displayed.
Solution:
To achieve this multi-column conversion, we employ a two-step process.
Step 1: Unpivoting the Data
We begin by unpivoting the data using UNION ALL to create multiple rows for each order and item combination. This allows us to manipulate the data more easily in the next step.
SELECT id, CONCAT('order', `order`) col, data value FROM tableA UNION ALL SELECT id, CONCAT('item', item) col, price value FROM tableA;
Step 2: Pivoting the Unpivoted Data
Once the data is unpivoted, we pivot it back into columns using aggregate functions with CASE statements. This groups the unpivoted rows by ID and assigns the corresponding values to the appropriate columns.
SELECT id, MAX(CASE WHEN col = 'order1' THEN value END) ORDER1, MAX(CASE WHEN col = 'order2' THEN value END) ORDER2, MAX(CASE WHEN col = 'order3' THEN value END) ORDER3, MAX(CASE WHEN col = 'item1' THEN value END) ITEM1, MAX(CASE WHEN col = 'item2' THEN value END) ITEM2, MAX(CASE WHEN col = 'item3' THEN value END) ITEM3 FROM ( SELECT id, CONCAT('order', `order`) col, data value FROM tableA UNION ALL SELECT id, CONCAT('item', item) col, price value FROM tableA ) d GROUP BY id;
Dynamic Query Generation:
To handle tables with varying numbers of orders and items, we can generate the query dynamically using a prepared statement.
SET @sql = NULL; SELECT GROUP_CONCAT(DISTINCT CONCAT( 'MAX(CASE WHEN col = ''', col, ''' THEN value END) AS `', col, '`') ) INTO @sql FROM ( SELECT CONCAT('order', `order`) col FROM tableA UNION ALL SELECT CONCAT('item', `item`) col FROM tableA )d; SET @sql = CONCAT('SELECT id, ', @sql, ' FROM ( SELECT id, CONCAT(''order'', `order`) col, data value FROM tableA UNION ALL SELECT id, CONCAT(''item'', item) col, price value FROM tableA ) d GROUP BY id'); PREPARE stmt FROM @sql; EXECUTE stmt; DEALLOCATE PREPARE stmt;
Result:
The resulting table provides a concise representation of the data, with each order as a column and each item as a row, displaying the corresponding prices.
The above is the detailed content of How to Convert MySQL Rows to Columns Based on Multiple Columns?. For more information, please follow other related articles on the PHP Chinese website!

This article explores optimizing MySQL memory usage in Docker. It discusses monitoring techniques (Docker stats, Performance Schema, external tools) and configuration strategies. These include Docker memory limits, swapping, and cgroups, alongside

This article addresses MySQL's "unable to open shared library" error. The issue stems from MySQL's inability to locate necessary shared libraries (.so/.dll files). Solutions involve verifying library installation via the system's package m

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

This article compares installing MySQL on Linux directly versus using Podman containers, with/without phpMyAdmin. It details installation steps for each method, emphasizing Podman's advantages in isolation, portability, and reproducibility, but also

This article provides a comprehensive overview of SQLite, a self-contained, serverless relational database. It details SQLite's advantages (simplicity, portability, ease of use) and disadvantages (concurrency limitations, scalability challenges). C

This guide demonstrates installing and managing multiple MySQL versions on macOS using Homebrew. It emphasizes using Homebrew to isolate installations, preventing conflicts. The article details installation, starting/stopping services, and best pra

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]


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

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

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

Atom editor mac version download
The most popular open source editor
