π§΅ SQL CURSORS β Complete Guide with Syntax & Examples
π§² Introduction β Why Use SQL Cursors?
SQL is designed to handle set-based operations efficiently. However, there are times when you need to process records one row at a timeβlike generating custom reports, performing procedural logic, or iterating through complex datasets. Thatβs where SQL Cursors come in.
A cursor in SQL acts like a pointer that traverses a result set row-by-row. While not ideal for performance, they provide essential control in scenarios where row-level processing is unavoidable.
π― In this guide, youβll learn:
- What cursors are and how they work
- Cursor types and lifecycle
- Syntax and examples across databases
- Best practices and performance tips
π 1. What Are SQL Cursors?
A cursor is a temporary work area created in the system memory where the result set is stored. It enables row-by-row processing rather than the typical set-based processing.
π 2. Cursor Workflow Steps
| Step | Description |
|---|---|
| Declare | Define the cursor with a SELECT statement |
| Open | Execute the SELECT and populate the cursor |
| Fetch | Retrieve each row into variables |
| Process | Execute logic for each row |
| Close | Release the cursor |
| Deallocate | Free the memory associated with the cursor |
π οΈ 3. SQL Server Cursor Example
DECLARE @Name VARCHAR(50);
DECLARE employee_cursor CURSOR FOR
SELECT name FROM employees;
OPEN employee_cursor;
FETCH NEXT FROM employee_cursor INTO @Name;
WHILE @@FETCH_STATUS = 0
BEGIN
PRINT 'Employee Name: ' + @Name;
FETCH NEXT FROM employee_cursor INTO @Name;
END;
CLOSE employee_cursor;
DEALLOCATE employee_cursor;
β Explanation:
DECLARE CURSORβ Sets up the result set.OPENβ Loads the rows.FETCH NEXTβ Iterates through rows.@@FETCH_STATUSβ Checks for end of result set.
π 4. MySQL Cursor Example (Stored Procedure)
DELIMITER //
CREATE PROCEDURE list_names()
BEGIN
DECLARE done INT DEFAULT FALSE;
DECLARE emp_name VARCHAR(100);
DECLARE cur CURSOR FOR SELECT name FROM employees;
DECLARE CONTINUE HANDLER FOR NOT FOUND SET done = TRUE;
OPEN cur;
read_loop: LOOP
FETCH cur INTO emp_name;
IF done THEN
LEAVE read_loop;
END IF;
SELECT emp_name;
END LOOP;
CLOSE cur;
END //
DELIMITER ;
β Explanation:
- MySQL cursors must be used inside stored procedures.
HANDLER FOR NOT FOUNDis used to exit the loop.
π§ͺ 5. Cursor Types in SQL Server
| Cursor Type | Description |
|---|---|
| STATIC | Copies data into temp table; changes not visible |
| DYNAMIC | Reflects all changes in underlying data |
| FORWARD_ONLY | Allows only forward movement |
| KEYSET | Key values static, data dynamic |
π‘ Use FORWARD_ONLY for best performance when possible.
π Cursor Use Cases
| Scenario | Example Purpose |
|---|---|
| Row-level data manipulation | Generating custom invoices |
| Complex validation logic | Checking constraints across tables |
| Auditing or logging | Row-based tracking of changes |
| Conditional processing | Running logic only on filtered records |
π‘ Best Practices & β οΈ Gotchas
| β Best Practices | β οΈ Avoid This |
|---|---|
| Use cursors only when necessary | Using cursors for simple data logic |
Prefer FORWARD_ONLY for efficiency | Updating/deleting from open cursors |
Always CLOSE and DEALLOCATE properly | Leaving cursors open (memory leaks) |
| Minimize logic inside loops | Nested cursors (unless justified) |
π Cursor vs WHILE Loop
| Feature | CURSOR | WHILE Loop + SELECT |
|---|---|---|
| Performance | Slower (row-by-row) | Better for set-based logic |
| Control | Higher (row-level granularity) | Less control, but often sufficient |
| Usage Scope | Complex procedures, audits | Simple loops or bulk actions |
π Summary β Recap & Next Steps
SQL Cursors provide row-by-row control over data, useful in specific scenarios like report generation, data validation, or when looping is required. Use them wisely due to their performance cost.
π Key Takeaways:
- SQL Cursors are ideal for procedural row-level operations.
- Must follow a clear
DECLARE β OPEN β FETCH β CLOSE β DEALLOCATEpattern. - Always evaluate if a set-based alternative is more efficient.
βοΈ Real-World Relevance:
Cursors are used in data migration scripts, legacy systems, and batch-processing jobs in banking, ERP, and data warehousing systems.
β FAQ β SQL Cursors
β When should I use a SQL Cursor?
β Use cursors when you need row-by-row logic like custom calculations, auditing, or sequential data transformation.
β Are SQL Cursors bad for performance?
β Yes, they are slower than set-based operations. Use them only when necessary and keep logic minimal.
β Can I update data using a cursor?
β Yes, but only with updatable cursors. Be cautious as this can lead to locks or performance issues.
β Whatβs the alternative to cursors?
β
Use window functions, ROW_NUMBER(), CTEs, or WHILE loops with set operations when possible.
β Are cursors supported in all databases?
β Yes, but the syntax varies. Example:
- SQL Server: supports full cursor control.
- MySQL: only in stored procedures.
- PostgreSQL: supports cursors with
DECLAREandFETCH.
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