mysql stored procedure judgment
MySQL stored procedure judgment: use IF, CASE and conditional statements to make logical judgments
MySQL stored procedure is one of the important tools for business logic implementation in MySQL. It can batch process and convert data , calculation and analysis, etc. In MySQL stored procedures, we often need to make logical judgments on the data to decide how to perform subsequent operations. This article will introduce how to use IF, CASE and conditional statements to make logical judgments in MySQL stored procedures.
1. IF statement
The IF statement is the most commonly used conditional statement in MySQL stored procedures, which is used to perform different operations based on the true or false conditions. Its syntax format is as follows:
IF (condition) THEN statements; ELSEIF (condition) THEN statements; ELSE statements; END IF;
Among them, condition represents the judgment statement, and statements represents the statement block that needs to be executed. In an IF statement, the IF block is executed when the condition is true, and the ELSEIF or ELSE block is executed when the condition is false. There can be multiple ELSEIF statement blocks, but they will only be executed when the IF statement block is false.
The following is an example to determine whether a student's score is passing through an IF statement:
CREATE PROCEDURE check_score(IN score INT) BEGIN IF (score >= 60) THEN SELECT 'Pass'; ELSEIF (score >= 50) THEN SELECT 'Makeup Exam'; ELSE SELECT 'Fail'; END IF; END;
In the above example, the corresponding results are output based on the student's score. If the student's score fails, "Fail" is output; if the score is between 50 and 60 points, "Makeup Exam" is output; if the score is above 60 points, "Pass" is output.
2. CASE statement
The CASE statement is another commonly used conditional statement in MySQL stored procedures. It is also used to perform different operations according to different conditions. The difference is that the CASE statement supports more Complex conditional judgment. Its syntax format is as follows:
CASE expr WHEN value1 THEN statements1; WHEN value2 THEN statements2; ... ELSE statements; END CASE;
Among them, expr represents an expression or column, used to match the value in the WHEN condition; value1, value2... represents the matching value; statements1, statements2... represents matching The operation to be performed on the value; the ELSE statement block represents the operation to be performed when there is no match. In a CASE statement, there can be multiple WHEN conditions.
The following is an example to determine the student's grade through the CASE statement:
CREATE PROCEDURE check_level(IN score INT) BEGIN CASE WHEN (score >= 90) THEN SELECT 'Excellent'; WHEN (score >= 80) THEN SELECT 'Good'; WHEN (score >= 70) THEN SELECT 'Fair'; WHEN (score >= 60) THEN SELECT 'Pass'; ELSE SELECT 'Fail'; END CASE; END;
In the above example, the corresponding grade is output based on the student's performance. If the student's score is above 90 points, "Excellent" is output; between 80 and 90 points, "Good" is output; between 70 and 80 points, "Fair" is output; between 60 and 70 points, Then output "Pass"; if the result is failed, output "Fail".
3. Conditional Statement
Conditional statement is another commonly used logical judgment tool in MySQL stored procedures. Its syntax format is as follows:
(condition1) AND/OR (condition2)
Among them, condition1 and condition2 Represents the two judgment conditions of the conditional statement respectively. You can use AND or OR to connect different conditions. AND means that two conditions must be met, and OR means that at least one condition must be met.
The following is an example to determine whether a student is late through a conditional statement:
CREATE PROCEDURE check_lateness(IN late INT) BEGIN IF (late = 0) OR (late <= 5) THEN SELECT 'On Time'; ELSE SELECT 'Late'; END IF; END;
In the above example, if the student is not late (i.e. late=0), or is late for no more than 5 minutes , then output “On Time”; otherwise, output “Late”.
Summary
IF, CASE and conditional statements are commonly used logical judgment tools in MySQL stored procedures. They can perform different operations based on different conditions. In actual development work, we can choose different judgment statements based on specific business needs to improve the efficiency and readability of the code.
The above is the detailed content of mysql stored procedure judgment. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values and pointers to data rows, and is suitable for non-primary key column queries.

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

MySQL supports four index types: B-Tree, Hash, Full-text, and Spatial. 1.B-Tree index is suitable for equal value search, range query and sorting. 2. Hash index is suitable for equal value searches, but does not support range query and sorting. 3. Full-text index is used for full-text search and is suitable for processing large amounts of text data. 4. Spatial index is used for geospatial data query and is suitable for GIS applications.

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.
