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Table of Contents
Use connection pools to reduce connection overhead
Use PreparedStatement and batch processing rationally
Be safe to close resources to avoid memory leaks
Adjust transaction boundaries and isolation levels appropriately
Home Java javaTutorial Optimizing Java JDBC Database Interactions

Optimizing Java JDBC Database Interactions

Jul 24, 2025 am 12:21 AM

Use connection pools, PreparedStatement and batching, shutting down resources, adjusting transaction boundaries, and isolation levels to optimize JDBC performance. 1. Use connection pools (such as HikariCP) to reduce the overhead of frequently creating connections; 2. Use PreparedStatement to prevent SQL injection and improve execution efficiency, and improve batch operation throughput in combination with batch processing; 3. Use try-with-resources to ensure that resources are automatically shut down to avoid memory leaks; 4. Adjust transaction boundaries, close auto-commit and commit uniformly, and select the appropriate transaction isolation level according to the business to reduce lock competition.

Optimizing Java JDBC Database Interactions

Slow database operations and high resource usage are problems that many Java developers often encounter when using JDBC. In fact, most of these problems can be improved by optimizing several key links.

Optimizing Java JDBC Database Interactions

Use connection pools to reduce connection overhead

Frequently opening and closing database connections is time-consuming. Directly using DriverManager.getConnection() to create a new connection every time, which not only affects performance, but may also cause resource leakage.

Connection pooling technologies are recommended, such as HikariCP, Apache DBCP, or C3P0. These tools maintain a connection pool, reuse existing connections, significantly improving response speed.

Optimizing Java JDBC Database Interactions

Taking HikariCP as an example, the configuration is very simple:

  • Add dependencies (such as Maven)
  • Initialize HikariConfig and set JDBC URL, username, password, etc.
  • Create and get the connection from the HikariDataSource instance

In this way, every call to dataSource.getConnection() is used to take out the free connection from the pool, which is much more efficient.

Optimizing Java JDBC Database Interactions

Use PreparedStatement and batch processing rationally

Many people are accustomed to using string stitching SQL to execute queries, which not only easily causes SQL injection problems, but also affects performance.

There are two benefits to using PreparedStatement :

  • Can prevent SQL injection
  • If SQL with the same structure is executed multiple times, the database can reuse compiled statements to improve efficiency

In addition, when you need to insert or update a large amount of data, do not execute it one by one, but use the batch insert/update function:

 PreparedStatement ps = connection.prepareStatement("INSERT INTO users (name, email) VALUES (?, ?)");
for (User user : users) {
    ps.setString(1, user.getName());
    ps.setString(2, user.getEmail());
    ps.addBatch();
}
ps.executeBatch();

This can greatly reduce the number of network round trips and improve throughput.


Be safe to close resources to avoid memory leaks

After the JDBC operation is complete, be sure to close all resources: ResultSet, Statement, and Connection. Otherwise, the connection may be leaked and eventually the database connection will be exhausted.

It is recommended to use try-with-resources (Java 7) to automatically close resources:

 try (Connection conn = dataSource.getConnection();
     PreparedStatement ps = conn.prepareStatement("SELECT * FROM users");
     ResultSet rs = ps.executeQuery()) {

    while (rs.next()) {
        // Processing results}
}

This way, even if an exception occurs, it can ensure that the resource is released correctly.

Also note that if you manage resources manually, don't just turn off the outer connection and just do it. Some Statements or ResultSets may still occupy resources if they are not closed.


Adjust transaction boundaries and isolation levels appropriately

By default, JDBC is in auto-commit mode, which means that each statement is an independent transaction. This pattern is suitable for simple operations, but can lead to performance degradation in batch modification or multi-step business logic.

You can close auto-commit before the operation and submit it uniformly:

 connection.setAutoCommit(false);
// Perform multiple operations connection.commit(); // or rollback()

At the same time, select the appropriate transaction isolation level according to business needs to avoid unnecessary lock competition or read and write blocking.

For example, the scenario where more reads and less writes can be set to READ_COMMITTED , while the amount changes should be more stringent, and REPEATABLE_READ or SERIALIZABLE should be used.


Basically these common but easily overlooked points. If these details are done well, JDBC's performance and stability will be significantly improved.

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