在MySQL中,您可以使用存儲過程來實現數據透視
CREATE TABLE sales_data (
id INT AUTO_INCREMENT PRIMARY KEY,
product_name VARCHAR(255),
month VARCHAR(255),
sales INT
);
INSERT INTO sales_data (product_name, month, sales)
VALUES ('Product A', 'January', 100),
('Product A', 'February', 200),
('Product B', 'January', 150),
('Product B', 'February', 250);
DELIMITER //
CREATE PROCEDURE pivot_sales_data()
BEGIN
-- Declare variables
DECLARE done INT DEFAULT 0;
DECLARE cur CURSOR FOR SELECT DISTINCT month FROM sales_data;
DECLARE CONTINUE HANDLER FOR NOT FOUND SET done = 1;
DECLARE @query VARCHAR(4096);
DECLARE @month VARCHAR(255);
-- Create a temporary table to store pivoted data
DROP TEMPORARY TABLE IF EXISTS temp_pivot;
CREATE TEMPORARY TABLE temp_pivot (
product_name VARCHAR(255)
);
-- Open the cursor and loop through each month
OPEN cur;
read_loop: LOOP
FETCH cur INTO @month;
IF done THEN
LEAVE read_loop;
END IF;
-- Add a new column for each month in the temporary table
SET @query = CONCAT('ALTER TABLE temp_pivot ADD COLUMN `', @month, '` INT');
PREPARE stmt FROM @query;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;
END LOOP;
CLOSE cur;
-- Populate the temporary table with pivoted data
SET @query = '
INSERT INTO temp_pivot (product_name, January, February)
SELECT product_name,
SUM(CASE WHEN month = ''January'' THEN sales ELSE 0 END) AS January,
SUM(CASE WHEN month = ''February'' THEN sales ELSE 0 END) AS February
FROM sales_data
GROUP BY product_name';
PREPARE stmt FROM @query;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;
-- Select the pivoted data from the temporary table
SELECT * FROM temp_pivot;
END//
DELIMITER ;
CALL pivot_sales_data();
這將返回以下結果:
+-------------+---------+----------+
| product_name | January | February |
+-------------+---------+----------+
| Product A | 100 | 200 |
| Product B | 150 | 250 |
+-------------+---------+----------+
請注意,此示例僅適用于具有固定月份列的簡單數據透視。對于更復雜的數據透視需求,您可能需要根據您的具體情況修改存儲過程。