MySQL stored procedures are a set of SQL statements that are compiled and stored in the database, and they can be called repeatedly. Stored procedures can accept parameters, perform a series of operations, and return the results in multiple ways. This article mainly introduces the result set of MySQL stored procedures.
1. The result set of MySQL stored procedure
The result set of MySQL stored procedure can be returned in one of the following ways:
The stored procedure can use the RETURN statement to return a value, which can be an integer, floating point number, date, time, string, etc. If the stored procedure does not return any results, you can use the RETURN statement to terminate the execution of the stored procedure.
For example, the following stored procedure returns the product of two input parameters:
CREATE PROCEDURE myProc(IN a INT, IN b INT) BEGIN DECLARE result INT; SET result = a * b; RETURN result; END;
A stored procedure can use OUT parameters to return one or more value. OUT parameters must be declared in the parameter list of the stored procedure and must be assigned within the stored procedure. When the stored procedure ends, the caller can retrieve these values.
For example, the following stored procedure returns the sum and difference of two input parameters:
CREATE PROCEDURE myProc(IN a INT, IN b INT, OUT sum INT, OUT difference INT) BEGIN SET sum = a + b; SET difference = a - b; END;
The stored procedure can use the SELECT statement to return a or multiple result sets. The result set can contain one or more rows of data, each row consisting of a set of fields.
For example, the following stored procedure returns all employee information in an Employee table:
CREATE PROCEDURE myProc() BEGIN SELECT * FROM Employee; END;
The stored procedure can use the SET statement to return a User variables. User variables can store any type of value, such as integers, floating point numbers, dates, strings, etc.
For example, the following stored procedure returns the employee name in an Employee table:
CREATE PROCEDURE myProc(IN employeeID INT, OUT employeeName VARCHAR(255)) BEGIN SELECT name INTO @employeeName FROM Employee WHERE ID = employeeID; SET employeeName = @employeeName; END;
2. How MySQL stored procedures process result sets
The stored procedures can use the following methods to Processing the result set:
The stored procedure can use a loop to traverse each row of data in the result set and process the data.
For example, the following stored procedure returns all employee names in an Employee table:
CREATE PROCEDURE myProc() BEGIN DECLARE employeeName VARCHAR(255); DECLARE done INT DEFAULT FALSE; DECLARE cur CURSOR FOR SELECT name FROM Employee; DECLARE CONTINUE HANDLER FOR NOT FOUND SET done = TRUE; OPEN cur; get_employee: LOOP FETCH cur INTO employeeName; IF done THEN LEAVE get_employee; END IF; SELECT employeeName; END LOOP; CLOSE cur; END;
The stored procedure can use a cursor to traverse the result set each row of data and process the data.
For example, the following stored procedure returns all employee names in an Employee table:
CREATE PROCEDURE myProc() BEGIN DECLARE employeeName VARCHAR(255); DECLARE cur CURSOR FOR SELECT name FROM Employee; OPEN cur; get_employee: LOOP FETCH cur INTO employeeName; IF done THEN LEAVE get_employee; END IF; SELECT employeeName; END LOOP; CLOSE cur; END;
The stored procedure can be processed using subqueries Row and column data in the result set. Subqueries can combine the result set of a stored procedure into other queries.
For example, the following stored procedure returns all employee information in an Employee table:
CREATE PROCEDURE myProc() BEGIN SELECT * FROM Employee WHERE departmentID = ( SELECT ID FROM Department WHERE name = 'Sales' ); END;
3. Optimization of MySQL stored procedure result set
The stored procedure can use the following technology to Optimize the processing of result sets:
Stored procedures can use indexes to speed up querying of result sets. MySQL supports multiple index types, including B-tree, hash, and full-text indexes.
For example, in the following stored procedure, we can use the ID field of the Employee table to create an index:
CREATE INDEX idx_employee ON Employee(ID);
Stored procedures can use the LIMIT statement to limit the number of result sets. This can reduce the execution time and memory footprint of stored procedures.
For example, in the following stored procedure, we can use the LIMIT statement to return the information of the first 10 employees:
CREATE PROCEDURE myProc() BEGIN SELECT * FROM Employee LIMIT 10; END;
Stored procedures can use memory tables to create a temporary result set. In-memory tables are generally faster than disk tables, but they take up more memory space than disk tables.
For example, in the following stored procedure, we can use the Memory engine to create a temporary result set:
CREATE TEMPORARY TABLE tempEmployee ENGINE=MEMORY SELECT * FROM Employee;
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