Designing JDBC applications for performance optimization

Developing performance-oriented JDBC applications is not easy. JDBC drivers do not throw exceptions to tell you when your code is running too slow. This section presents some general guidelines for improving JDBC application performance that have been compiled by examining the JDBC implementations of numerous shipping JDBC applications. These guidelines include:

Following these general guidelines can help you solve some common JDBC system performance problems, such as those listed in the following table.

Problem	Solution	See guidelines in…
Network communication is slow.	Reduce network traffic.	Using database metadata methods
Evaluation of complex SQL queries on the database server is slow and can reduce concurrency.	Simplify queries.	Using database metadata methods Selecting JDBC objects and methods
Excessive calls from the application to the driver slow performance.	Optimize application-to-driver interaction.	Returning data Selecting JDBC objects and methods
Disk I/O is slow.	Limit disk I/O.	Managing connections and updates

In addition, most JDBC drivers provide options that improve performance, often with a trade-off in functionality. If your application is not affected by functionality that is modified by setting a particular option, significant performance improvements can be realized.

Note: The section describes functionality across a spectrum of data stores. In some cases, the functionality described may not apply to the driver or data store you are using. In addition, examples are drawn from a variety of drivers and data stores.