RDBMS Connection Pools

When you create a PersistenceManagerFactory you define the connection URL, driver name, and the username/password to use. This works perfectly well but does not "pool" the connections so that they are efficiently opened/closed when needed to utilise datastore resources in an optimum way. DataNucleus allows you to utilise a connection pool to efficiently manage the connections to the datastore. You can do this using one of the following ways currently.

Lookup a DataSource using JNDI

DataNucleus allows you to use connection pools (java.sql.DataSource) bound to a javax.naming.InitialContext with a JNDI name. You first need to create the DataSource in the container (application server/web server), and secondly you define the datanucleus.ConnectionFactoryName property with the DataSource JDNI name.

The following example uses a properties file that is loaded before creating the PersistenceManagerFactory. The PersistenceManagerFactory is created using the JDOHelper.

Properties properties = new Properties();

// the properties file is in your classpath
PersistenceManagerFactory pmf = JDOHelper.getPersistenceManagerFactory("/yourpath/yourfile.properties");

Please read more about this in the Data Source Guide.

Manually create a DataSource ConnectionFactory

We could have used the DataNucleus plugin which internally creates a DataSource ConnectionFactory, however we can also do this manually if we so wish. Let's demonstrate how to do this with one of the most used pools Jakarta DBCP

With DBCP you need to generate a javax.sql.DataSource , which you will then pass to DataNucleus. You do this as follows

// Load the JDBC driver

// Create the actual pool of connections 
ObjectPool connectionPool = new GenericObjectPool(null);

// Create the factory to be used by the pool to create the connections
ConnectionFactory connectionFactory = new DriverManagerConnectionFactory(dbURL, dbUser, dbPassword);

// Create a factory for caching the PreparedStatements
KeyedObjectPoolFactory kpf = new StackKeyedObjectPoolFactory(null, 20);

// Wrap the connections with pooled variants
PoolableConnectionFactory pcf = 
    new PoolableConnectionFactory(connectionFactory, connectionPool, kpf, null, false, true);

// Create the datasource
DataSource ds = new PoolingDataSource(connectionPool);

// Create our PMF
Map properties = new HashMap();
properties.put("javax.jdo.option.ConnectionFactory", ds);
PersistenceManagerFactory pmf = JDOHelper.getPersistenceManagerFactory(properties);

Note that we haven't passed the dbUser and dbPassword to the PMF since we no longer need to specify them - they are defined for the pool so we let it do the work. As you also see, we set the data source for the PMF. Thereafter we can sit back and enjoy the performance benefits. Please refer to the documentation for DBCP for details of its configurability (you will need commons-dbcp , commons-pool , and commons-collections in your CLASSPATH to use this above example).