Loops in MySQL

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November 28, 2023

In MySQL, loops let you repeat a sequence of statements until a certain condition is met. You can use them to repeat execution of code blocks in stored procedures, functions and triggers.

Loop Types in MySQL

MySQL supports three main types of loops: LOOP, REPEAT, and WHILE. Each serves a different purpose and is used based on the logic requirements.

LOOP Statement

The LOOP statement is the simplest form of loop in MySQL. It runs indefinitely until it encounters a LEAVE statement.

LOOP_NAME: LOOP -- Statements to be executed IF condition THEN LEAVE LOOP_NAME; END IF; END LOOP LOOP_NAME;

REPEAT Statement

The REPEAT loop executes until a specified condition is true. It checks the condition after executing the loop's statements.

REPEAT -- Statements to be executed UNTIL condition END REPEAT;

WHILE Statement

The WHILE loop executes as long as a specified condition is true, checking the condition before each iteration.

WHILE condition DO -- Statements to be executed END WHILE;

Implementing Loops in Stored Procedures

Loops are commonly used in stored procedures. Here’s an example of using a WHILE loop within a stored procedure:

DELIMITER // CREATE PROCEDURE LoopDemo() BEGIN DECLARE v1 INT DEFAULT 5; WHILE v1 > 0 DO -- Perform actions SET v1 = v1 - 1; END WHILE; END // DELIMITER ;

Loop Control Statements

Control statements like LEAVE and ITERATE are used to control the flow of loops.

LEAVE Statement

LEAVE exits the loop when a certain condition is met. It is useful in LOOP and WHILE loops.

WHILE condition DO IF exit_condition THEN LEAVE loop_name; END IF; -- Loop statements END WHILE loop_name;

ITERATE Statement

ITERATE skips the current loop iteration and starts the next one. It is particularly useful in LOOP and WHILE loops.

WHILE condition DO IF skip_condition THEN ITERATE loop_name; END IF; -- Loop statements END WHILE loop_name;

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Nested Loops

Nested loops, where one loop is placed inside another, are particularly useful for processing multi-dimensional data. Here's an example:

DECLARE outer_counter INT DEFAULT 1; DECLARE inner_counter INT DEFAULT 1; WHILE outer_counter <= 5 DO WHILE inner_counter <= 3 DO -- Inner loop actions SET inner_counter = inner_counter + 1; END WHILE; SET inner_counter = 1; -- Outer loop actions SET outer_counter = outer_counter + 1; END WHILE;

Common Use Cases for Loops

  • Data Transformation: Manipulating or formatting a large set of data.
  • Batch Processing: Executing operations on a batch of records.
  • Recursive Operations: Handling hierarchical or tree-structured data.

Basedash

If you’re looking for a solid GUI for your MySQL database, check out Basedash. Basedash uses AI to instantly give you an admin panel on top of your SQL database, so you don’t need to waste time building custom internal tools. You can write and share SQL queries, generate charts, perform CRUD operations and more.

TOC

Loop Types in MySQL
Implementing Loops in Stored Procedures
Loop Control Statements
Nested Loops
Common Use Cases for Loops
Basedash

November 28, 2023

In MySQL, loops let you repeat a sequence of statements until a certain condition is met. You can use them to repeat execution of code blocks in stored procedures, functions and triggers.

Loop Types in MySQL

MySQL supports three main types of loops: LOOP, REPEAT, and WHILE. Each serves a different purpose and is used based on the logic requirements.

LOOP Statement

The LOOP statement is the simplest form of loop in MySQL. It runs indefinitely until it encounters a LEAVE statement.

LOOP_NAME: LOOP -- Statements to be executed IF condition THEN LEAVE LOOP_NAME; END IF; END LOOP LOOP_NAME;

REPEAT Statement

The REPEAT loop executes until a specified condition is true. It checks the condition after executing the loop's statements.

REPEAT -- Statements to be executed UNTIL condition END REPEAT;

WHILE Statement

The WHILE loop executes as long as a specified condition is true, checking the condition before each iteration.

WHILE condition DO -- Statements to be executed END WHILE;

Implementing Loops in Stored Procedures

Loops are commonly used in stored procedures. Here’s an example of using a WHILE loop within a stored procedure:

DELIMITER // CREATE PROCEDURE LoopDemo() BEGIN DECLARE v1 INT DEFAULT 5; WHILE v1 > 0 DO -- Perform actions SET v1 = v1 - 1; END WHILE; END // DELIMITER ;

Loop Control Statements

Control statements like LEAVE and ITERATE are used to control the flow of loops.

LEAVE Statement

LEAVE exits the loop when a certain condition is met. It is useful in LOOP and WHILE loops.

WHILE condition DO IF exit_condition THEN LEAVE loop_name; END IF; -- Loop statements END WHILE loop_name;

ITERATE Statement

ITERATE skips the current loop iteration and starts the next one. It is particularly useful in LOOP and WHILE loops.

WHILE condition DO IF skip_condition THEN ITERATE loop_name; END IF; -- Loop statements END WHILE loop_name;

You could ship faster.

Imagine the time you'd save if you never had to build another internal tool, write a SQL report, or manage another admin panel again. Basedash is built by internal tool builders, for internal tool builders. Our mission is to change the way developers work, so you can focus on building your product.

Nested Loops

Nested loops, where one loop is placed inside another, are particularly useful for processing multi-dimensional data. Here's an example:

DECLARE outer_counter INT DEFAULT 1; DECLARE inner_counter INT DEFAULT 1; WHILE outer_counter <= 5 DO WHILE inner_counter <= 3 DO -- Inner loop actions SET inner_counter = inner_counter + 1; END WHILE; SET inner_counter = 1; -- Outer loop actions SET outer_counter = outer_counter + 1; END WHILE;

Common Use Cases for Loops

  • Data Transformation: Manipulating or formatting a large set of data.
  • Batch Processing: Executing operations on a batch of records.
  • Recursive Operations: Handling hierarchical or tree-structured data.

Basedash

If you’re looking for a solid GUI for your MySQL database, check out Basedash. Basedash uses AI to instantly give you an admin panel on top of your SQL database, so you don’t need to waste time building custom internal tools. You can write and share SQL queries, generate charts, perform CRUD operations and more.

November 28, 2023

In MySQL, loops let you repeat a sequence of statements until a certain condition is met. You can use them to repeat execution of code blocks in stored procedures, functions and triggers.

Loop Types in MySQL

MySQL supports three main types of loops: LOOP, REPEAT, and WHILE. Each serves a different purpose and is used based on the logic requirements.

LOOP Statement

The LOOP statement is the simplest form of loop in MySQL. It runs indefinitely until it encounters a LEAVE statement.

LOOP_NAME: LOOP -- Statements to be executed IF condition THEN LEAVE LOOP_NAME; END IF; END LOOP LOOP_NAME;

REPEAT Statement

The REPEAT loop executes until a specified condition is true. It checks the condition after executing the loop's statements.

REPEAT -- Statements to be executed UNTIL condition END REPEAT;

WHILE Statement

The WHILE loop executes as long as a specified condition is true, checking the condition before each iteration.

WHILE condition DO -- Statements to be executed END WHILE;

Implementing Loops in Stored Procedures

Loops are commonly used in stored procedures. Here’s an example of using a WHILE loop within a stored procedure:

DELIMITER // CREATE PROCEDURE LoopDemo() BEGIN DECLARE v1 INT DEFAULT 5; WHILE v1 > 0 DO -- Perform actions SET v1 = v1 - 1; END WHILE; END // DELIMITER ;

Loop Control Statements

Control statements like LEAVE and ITERATE are used to control the flow of loops.

LEAVE Statement

LEAVE exits the loop when a certain condition is met. It is useful in LOOP and WHILE loops.

WHILE condition DO IF exit_condition THEN LEAVE loop_name; END IF; -- Loop statements END WHILE loop_name;

ITERATE Statement

ITERATE skips the current loop iteration and starts the next one. It is particularly useful in LOOP and WHILE loops.

WHILE condition DO IF skip_condition THEN ITERATE loop_name; END IF; -- Loop statements END WHILE loop_name;

You could ship faster.

Imagine the time you'd save if you never had to build another internal tool, write a SQL report, or manage another admin panel again. Basedash is built by internal tool builders, for internal tool builders. Our mission is to change the way developers work, so you can focus on building your product.

Nested Loops

Nested loops, where one loop is placed inside another, are particularly useful for processing multi-dimensional data. Here's an example:

DECLARE outer_counter INT DEFAULT 1; DECLARE inner_counter INT DEFAULT 1; WHILE outer_counter <= 5 DO WHILE inner_counter <= 3 DO -- Inner loop actions SET inner_counter = inner_counter + 1; END WHILE; SET inner_counter = 1; -- Outer loop actions SET outer_counter = outer_counter + 1; END WHILE;

Common Use Cases for Loops

  • Data Transformation: Manipulating or formatting a large set of data.
  • Batch Processing: Executing operations on a batch of records.
  • Recursive Operations: Handling hierarchical or tree-structured data.

Basedash

If you’re looking for a solid GUI for your MySQL database, check out Basedash. Basedash uses AI to instantly give you an admin panel on top of your SQL database, so you don’t need to waste time building custom internal tools. You can write and share SQL queries, generate charts, perform CRUD operations and more.

What is Basedash?

What is Basedash?

What is Basedash?

Basedash is the best MySQL admin panel

Basedash is the best MySQL admin panel

Basedash is the best MySQL admin panel

If you're building with MySQL, you need Basedash. It gives you an instantly generated admin panel to understand, query, build dashboards, edit, and share access to your data.

If you're building with MySQL, you need Basedash. It gives you an instantly generated admin panel to understand, query, build dashboards, edit, and share access to your data.

If you're building with MySQL, you need Basedash. It gives you an instantly generated admin panel to understand, query, build dashboards, edit, and share access to your data.

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