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How to Dynamically Pivot Data in MySQL Using Aggregate Functions and CASE Statements?

Mary-Kate Olsen
Mary-Kate OlsenOriginal
2025-01-06 07:56:43596browse

How to Dynamically Pivot Data in MySQL Using Aggregate Functions and CASE Statements?

Pivoting Data Dynamically with MySQL's Aggregate Functions and CASE Statement

Consider a table of product parts with the following schema:

CREATE TABLE Parts (
    part_id INT NOT NULL,
    part_type CHAR(1) NOT NULL,
    product_id INT NOT NULL,
    PRIMARY KEY (part_id)
);

Sample Data:

INSERT INTO Parts (part_id, part_type, product_id) VALUES
(1, 'A', 1),
(2, 'B', 1),
(3, 'A', 2),
(4, 'B', 2),
(5, 'A', 3),
(6, 'B', 3);

The goal is to pivot this data into a table that represents the product parts as columns:

CREATE TABLE PivotedParts (
    product_id INT NOT NULL,
    part_A_id INT,
    part_B_id INT,
    PRIMARY KEY (product_id)
);

Dynamic Pivoting Solution:

MySQL does not have a built-in PIVOT function, but a dynamic solution can be achieved using aggregate functions and a CASE statement:

SET @sql = NULL;
SELECT
  GROUP_CONCAT(DISTINCT
    CONCAT(
      'max(case when part_type = ''',
      part_type,
      ''' then part_id end) AS part_',
      part_type, '_id'
    )
  ) INTO @sql
FROM
  Parts;

SET @sql = CONCAT('SELECT product_id, ', @sql, ' 
                  FROM Parts 
                   GROUP BY product_id');

PREPARE stmt FROM @sql;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;

Example Output:

+------------+----------+----------+
| product_id | part_A_id | part_B_id |
+------------+----------+----------+
| 1          | 1        | 2        |
| 2          | 3        | 4        |
| 3          | 5        | 6        |
+------------+----------+----------+

Static Pivoting Solution (for a limited number of columns):

For a static pivoting solution with a limited number of columns, the following query can be used:

SELECT product_id,
  max(case when part_type ='A' then part_id end) as part_A_id,
  max(case when part_type ='B' then part_id end) as part_B_id
FROM Parts
GROUP BY product_id;

Output:

+------------+----------+----------+
| product_id | part_A_id | part_B_id |
+------------+----------+----------+
| 1          | 1        | 2        |
| 2          | 3        | 4        |
| 3          | 5        | 6        |
+------------+----------+----------+

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