Table of Contents
Basic idea: Use CASE WHEN to implement row-to-row conversion
Dynamically generated columns: suitable for when the specific value is uncertain
A simpler way: use IF aggregation function
Actual suggestions and precautions
Home Database Mysql Tutorial how to create pivot table in mysql

how to create pivot table in mysql

Jul 21, 2025 am 01:47 AM
mysql pivot table

Methods that implement Excel pivot table functions in MySQL mainly include using CASE or IF statements to convert rows and columns together with aggregate functions. 1. Use CASE WHEN to implement static row-to-column conversion, which is suitable for situations where column values are known to be converted. New columns are generated for different values and data are summarized through SUM (CASE WHEN ...). 2. Generate columns dynamically, suitable for situations where specific values are uncertain. You need to obtain a unique value before constructing a CASE expression. Usually, it is combined with stored procedures or application layer logic to splice and execute SQL strings; 3. Use IF functions to simplify syntax to achieve the same effect as CASE but with more compact writing method; in actual applications, if the dimension is fixed, the column can be hard-coded directly. If the dimension changes frequently, it is recommended to use scripts or stored procedures to dynamically process, and pay attention to query performance and use views to save common structures to improve efficiency.

how to create pivot table in mysql

In MySQL, there is no directly supporting the "pivot table" function like Excel, but you can simulate and achieve similar effects through SQL queries. The key is to use CASE or IF statements to combine aggregate functions (such as SUM , COUNT , etc.) to dynamically convert rows into columns.

how to create pivot table in mysql

Here are some common methods and ideas to help you create pivot table-like results in MySQL.


Basic idea: Use CASE WHEN to implement row-to-row conversion

If you want to display different values of a certain field as a column and summarize other numeric fields, you can use CASE WHEN with the aggregate function.

how to create pivot table in mysql

For example, you have a sales record list like this:

 CREATE TABLE sales (
    id INT,
    product VARCHAR(50),
    region VARCHAR(50),
    amount INT
);

If you want to count the sales of different products in each region, and finally display them in a column of each product, you can write the following query:

how to create pivot table in mysql
 SELECT 
    region,
    SUM(CASE WHEN product = 'A' THEN amount ELSE 0 END) AS product_A,
    SUM(CASE WHEN product = 'B' THEN amount ELSE 0 END) AS product_B,
    SUM(CASE WHEN product = 'C' THEN amount ELSE 0 END) AS product_C
FROM sales
GROUP BY region;

This method is suitable for situations where you know what values are for the column you want to "turn".


Dynamically generated columns: suitable for when the specific value is uncertain

If you don't know which values need to be converted into columns (such as the product type is not fixed), you need to dynamically generate column names by using stored procedures or splicing SQL strings.

The basic steps are as follows:

  • Get all unique values that need to be converted into columns
  • Use these values to build CASE expressions
  • Stitch expressions into complete SQL query strings
  • Execute this string (usually done in a stored procedure)

For example, get all product names first:

 SELECT DISTINCT product FROM sales;

Then in the program (or using stored procedures) these values are constructed into fields of the CASE form above.

Note: MySQL does not support direct dynamic column processing, so this step usually requires combining application layer logic or using stored procedures.


A simpler way: use IF aggregation function

In addition to CASE WHEN , you can also use the IF() function to simplify the syntax:

 SELECT 
    region,
    SUM(IF(product = 'A', amount, 0)) AS product_A,
    SUM(IF(product = 'B', amount, 0)) AS product_B
FROM sales
GROUP BY region;

The result is the same as before, but the writing is more compact.


Actual suggestions and precautions

  • If the data volume is not large and the dimension is fixed, just hardcode the columns.
  • If the dimensions change frequently, consider using scripts or stored procedures to generate SQL dynamically.
  • Note performance issues: Dynamic splicing and large amounts CASE may affect query efficiency.
  • Common structures can be saved in conjunction with views (VIEW) to facilitate repeated calls.

Basically that's all. Although MySQL itself does not have the pivot function, using CASE and aggregate functions can flexibly respond to most needs.

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