Multi-threaded access to database connections in Java depends on the JDBC driver used: Drivers that support multi-threading (such as MySQL Connector/J, PostgreSQL JDBC): can allow multiple threads to access the database at the same time, providing thread-safe connections . Drivers that do not support multi-threading (such as HSQLDB JDBC, Derby JDBC): concurrency problems may occur when multiple threads use a single connection at the same time, and a separate connection needs to be created for each thread.
Multi-threaded access to database connections in Java
In Java, whether multi-threaded access to database connections is supported depends on The JDBC driver used. Some drivers support multi-threaded access, while others do not.
JDBC drivers that support multi-threading
The following are some popular JDBC drivers that support multi-threaded access:
These drivers provide thread-safe connections, allowing multiple threads to access the database simultaneously without concurrency issues .
JDBC drivers that do not support multi-threading
Some JDBC drivers do not support multi-threaded access, which means that when multiple threads try to use a single connection at the same time Concurrency issues may occur. These include:
When using these drivers, you must create a separate Connection.
Practical case
Let us demonstrate multi-threaded database access through an example. This example uses the MySQL Connector/J driver, which supports multi-threaded access:
import java.sql.Connection; import java.sql.DriverManager; import java.sql.SQLException; public class MultithreadedDatabaseAccess { public static void main(String[] args) { // JDBC URL, 用户名和密码 String jdbcUrl = "jdbc:mysql://localhost:3306/test"; String username = "root"; String password = "password"; // 创建并启动多个线程 Thread[] threads = new Thread[5]; for (int i = 0; i < threads.length; i++) { threads[i] = new Thread(() -> { try { // 获取数据库连接 Connection connection = DriverManager.getConnection(jdbcUrl, username, password); // 执行查询或更新 // ... // 关闭连接 connection.close(); } catch (SQLException e) { e.printStackTrace(); } }); } for (Thread thread : threads) { thread.start(); } } }
In this example, 5 threads simultaneously create a database connection, perform tasks, and close the connection. Because it uses a JDBC driver that supports multithreading, the program is safe for multithreaded access without concurrency issues.
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