Archive for May, 2016

Oracle JDBC memory settings

Many applications use ancient versions of Oracle’s JDBC drivers, as they are downloaded manually and seldom upgraded. That is a pity as the newer drivers offer much better performance. However, some of the performance gains are bought with increased memory consumption and that can be a problem.

We ran into an issue with the connection pool in JBoss. It uses connections in round-robin, so as long as there is some load the pool tends to stay at peak size. Each connection normally keeps a buffer cache and it may cache other things as well. The size of the connections would grow over time, eventually consuming most of the heap.

A JBoss-specific workaround is to use the cli and close the idle connections (off-peak):


DS is the name of the data source. A better approach may be to set the system property oracle.jdbc.useThreadLocalBufferCache to true. That moves the buffer cache from the connections to thread locals. Depending on how the application behaves that may be better as the memory is reclaimed when a thread dies. Plus a given thread may be more likely to issue the same SQL multiple times and can thus benefit more from the cache.

It may also be useful to limit the maximum buffer size with oracle.jdbc.maxCachedBufferSize. The implicit statement cache is normally off, but if it is enabled the size can be controlled using oracle.jdbc.implicitStatementCacheSize and oracle.jdbc.freeMemoryOnEnterImplicitCache can force buffers allocated for a statement to be released when it is put into the cache. In most cases it is best to leave those options alone.

See Oracle JDBC Memory Management for the whole story!

Categories: Java, Oracle, Performance