How to Loop Through Rows in MySQL
Robert Cooper
Robert Cooper Senior Engineer at Basedash
· January 31, 2025
Robert Cooper
Robert Cooper Senior Engineer at Basedash
· January 31, 2025
Looping through rows in MySQL involves iterating over a result set obtained from a query. This is often used to process or manipulate each row individually.
Cursors in MySQL provide a way to iterate over a result set from a SELECT query. They are essential for row-by-row operations in stored procedures.
DECLARE cursor_name CURSOR FOR select_statement;
Before using a cursor, you need to open it. Once processing is done, always ensure to close it to release resources.
OPEN cursor_name;
-- Perform operations
CLOSE cursor_name;
The FETCH statement retrieves the next row from the cursor into variables.
FETCH cursor_name INTO var1, var2;
Combine LOOP, FETCH, and EXIT WHEN NOT FOUND to iterate through each row.
DECLARE done INT DEFAULT FALSE;
DECLARE CONTINUE HANDLER FOR NOT FOUND SET done = TRUE;
OPEN cursor_name;
loop_name: LOOP
FETCH cursor_name INTO var1, var2;
IF done THEN
LEAVE loop_name;
END IF;
-- Process each row here
END LOOP loop_name;
CLOSE cursor_name;
Here’s a practical example demonstrating the whole process.
CREATE PROCEDURE ProcessOrders()
BEGIN
DECLARE done INT DEFAULT FALSE;
DECLARE myOrder INT;
DECLARE cursorOrders CURSOR FOR SELECT order_id FROM orders;
DECLARE CONTINUE HANDLER FOR NOT FOUND SET done = TRUE;
OPEN cursorOrders;
read_loop: LOOP
FETCH cursorOrders INTO myOrder;
IF done THEN
LEAVE read_loop;
END IF;
-- Add custom logic for each order here
END LOOP read_loop;
CLOSE cursorOrders;
END;
This guide presents the essentials of looping through rows in MySQL using cursors. Cursors provide a controlled way to handle data row by row, especially within stored procedures. Remember to always open and close cursors and handle the end of the data set gracefully.
Written by
Senior Engineer at Basedash
Robert Cooper is a senior engineer at Basedash who builds full-stack product systems across SQL data infrastructure, APIs, and frontend architecture. His work focuses on application performance, developer velocity, and reliable self-hosted workflows that make data operations easier for teams at scale.
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