java mysql stored procedure calls stored procedure
With the development of enterprise-level applications, programming languages and database systems such as Java and MySQL have been widely used to support the development of enterprise applications. A MySQL stored procedure is a precompiled SQL code script that can execute multiple SQL statements in a MySQL database. As an object-oriented programming language, Java's advantage is that developers can use object-oriented methods to manage and maintain code.
This article will introduce how Java calls MySQL stored procedures, and also introduces the practical application scenarios of stored procedures.
1. MySQL stored procedures
MySQL stored procedures are a collection of a series of SQL statements stored in the MySQL database. This series of SQL statements are called through a name and can carry parameters. Stored procedures can effectively solve the problem of multiple clients connecting to the MySQL database to execute the same SQL statement, because it can be reused by multiple connections, improving SQL execution efficiency.
MySQL stored procedures can be defined using statements, for example:
CREATE PROCEDURE p_GetMovieRecords (OUT p_count INT) BEGIN SELECT COUNT(*) INTO p_count FROM movies; END;
The above stored procedure is named p_GetMovieRecords. It has an output parameter p_count. After execution, the number of records in the movies table will be queried and The quantity is assigned to the output parameter p_count.
2. Java calls MySQL stored procedures
Java can connect to the MySQL database through JDBC, and then use PreparedStatement and CallableStatement objects inherited from Statement to call MySQL stored procedures.
- Use PreparedStatement to call MySQL stored procedures
PreparedStatement inherits from Statement and can be precompiled when executing SQL statements to avoid recompiling every time a SQL statement is executed. . However, for MySQL stored procedure calls, a precompiled CallableStatement object is required.
First you need to obtain the MySQL database connection:
// 加载MYSQL JDBC驱动程序 Class.forName("com.mysql.jdbc.Driver"); // 连接MYSQL数据库 Connection conn = DriverManager.getConnection("jdbc:mysql://localhost:3306/test");
After obtaining the connection, you need to use the CallableStatement object to precompile the stored procedure call:
// 定义MySQL存储过程名称及参数 String sql = "{call p_GetMovieRecords(?)}"; // 创建CallableStatement对象调用存储过程 CallableStatement call = conn.prepareCall(sql); // 注册输出参数 call.registerOutParameter(1, Types.INTEGER); // 执行存储过程 call.execute(); // 获取输出参数值 int count = call.getInt(1);
- Use CallableStatement to call MySQL storage Procedure
CallableStatement can also precompile SQL statements, but it is specifically used to call stored procedures. The difference from PreparedStatement is that the CallableStatement object uses the syntax of stored procedure calls, such as:
// 定义MySQL存储过程名称及参数 String sql = "{call p_GetMovieRecords(?)}"; // 创建CallableStatement对象调用存储过程 CallableStatement call = conn.prepareCall(sql); // 注册输出参数 call.registerOutParameter(1, Types.INTEGER); // 执行存储过程 call.execute(); // 获取输出参数值 int count = call.getInt(1);
3. Practical application scenarios of MySQL stored procedures
MySQL stored procedures are usually used to execute complex Query operations, and can optimize performance and improve data query speed. Usage scenarios of stored procedures include:
- Developing data warehouse
The data warehouse is a big data warehouse used to store various business data in the enterprise and requires a large amount of data processing. and transform. Stored procedures can extract large amounts of data through complex query statements and transform it into the format required by the enterprise to support the corresponding applications of the data warehouse.
- Batch data processing
Batch data processing is an important application scenario in enterprises, for example: copying all records in one table to another or multiple tables , perform batch update or delete operations, etc. Use stored procedures to write complex and efficient SQL statements for specific operations.
- Business logic processing
Business logic processing is an important part of enterprise-level applications. Therefore, developers often need to perform various logic processing during development, for example, Insert data into new tables or update old tables by checking exact conditions. At this point, stored procedures can be used to handle these logics in the MySQL database for more efficient processing.
Overall, stored procedures are a very useful tool. They have important applications in accelerating data processing, optimizing performance, business logic processing, etc., and can greatly improve the development efficiency of enterprise-level applications.
The above is the detailed content of java mysql stored procedure calls stored procedure. 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











The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.
