Tuning the JMS Transport

The Java Message Service (JMS) transport of the WSO2 Enterprise Integrator (WSO2 EI) allows you to easily send and receive messages to queues and topics of any JMS service that implements the JMS specification. The following sections describe how you can tune the JMS transport of WSO2 EI for better performance.

Increase the maximum number of JMS proxies

If you create several JMS proxy services in WSO2 EI, you will see a message similar to the following:

WARN - JMSListener Polling tasks on destination : JMStoHTTPStockQuoteProxy18 of type queue for service JMStoHTTPStockQuoteProxy18 have not yet started after 3 seconds ..

This issue occurs when you do not have enough threads available to consume messages from JMS queues. The maximum number of concurrent consumers (that is, the number of JMS proxies) that can be deployed is limited by the base transport worker pool that is used by the JMS transport. You can configure the size of this worker pool using the system properties lst_t_core and lst_t_max. Note that increasing these values will also increase the memory consumption, because the worker pool will allocate more resources.

Similarly, you can configure the current number and the anticipated number of outbound JMS proxies using the system properties snd_t_core and snd_t_max.

To adjust the values of these properties, you can modify the server startup script if you want to increase the available threads for NHTTP and JMS transports (requires more memory), or create a jms.properties file if you want to increase the available threads just for the JMS transport. Both approaches are described below.

To increase the threads for NHTTP and JMS transports

1. Open the integrator.sh or integrator.bat file in your <EI_HOME>/bin directory for editing.

2. Change the values of the properties as follows: 

   If you do not have the following properties in the integrator.sh or integrator.bat files, add them with the given values.

   • -Dlst_t_core=200

   • -Dlst_t_max=250

   • -Dsnd_t_core=200
   • -Dsnd_t_max=250

To increase the threads for just the JMS transport

1. Create a file named jms.properties with the following properties:

   • lst_t_core=200

   • lst_t_max=250

   • snd_t_core=200

   • snd_t_max=250

2. Create a directory called conf under your <EI_HOME> directory and save the file in this directory.

Configuring JMS Listener

You can increase the JMS listener performance by

1. Using concurrent consumers
2. Enabling caching

Using concurrent consumers

Concurrent consumers is the minimum number of threads for message consuming. If there are more messages to be consumed while the running threads are busy, then additional threads are started until the total number of threads reaches the value of the maximum number of concurrent consumers (ie., MaxConcurrentConsumers). The maximum number of concurrent consumers (or the number of JMS proxies) that can be deployed is limited by the base transport worker pool that is used by the JMS transport. The size of this worker pool can be configured via the system property 'lst_t_core' and 'lst_t_max' as described above. The number of concurrent producers are generally limited by the Synapse core worker pool.

To increase the JMS listener performance

Add the following parameters to the JMS listener configuration of the <EI_HOME>/conf/axis2/axis2.xml file:

<parameter name="transport.jms.ConcurrentConsumers" locked="false">50</parameter> 
<parameter name="transport.jms.MaxConcurrentConsumers" locked="false">50</parameter>

Parameters

• transport.jms.ConcurrentConsumers: the concurrent threads that need to be started to consume messages when polling.
• transport.jms.MaxConcurrentConsumers: the maximum number of concurrent threads to use during polling.

Enable caching

Add the following parameter to the JMS listener configuration of the  <EI_HOME>/conf/axis2/axis2.xml file to enable caching:

<parameter name="transport.jms.CacheLevel">consumer</parameter>

The possible values for the cache level are none, auto, connection, session and consumer. Out of the possible values, consumer is the highest level that provides maximum performance.

After adding concurrency consumers and cache level, your complete configuration would be as follows:

<transportReceiver name="jms" class="org.apache.axis2.transport.jms.JMSListener"> 
....
<parameter name="myQueueConnectionFactory" locked="false"> 
<parameter name="java.naming.factory.initial" locked="false">org.apache.activemq.jndi.ActiveMQInitialContextFactory</parameter> 
<parameter name="java.naming.provider.url" locked="false">tcp://localhost:61616</parameter> 
<parameter name="transport.jms.ConnectionFactoryJNDIName" locked="false">QueueConnectionFactory</parameter> 
<parameter name="transport.jms.ConnectionFactoryType" locked="false">queue</parameter> 
<parameter name="transport.jms.ConcurrentConsumers" locked="false">50</parameter> 
<parameter name="transport.jms.MaxConcurrentConsumers" locked="false">50</parameter> 
<parameter name="transport.jms.CacheLevel">consumer</parameter> 
</parameter>
….
</transportReceiver>

Configuring JMS Sender

Enabling caching

Add the following parameter to the JMS sender configuration of the  <EI_HOME>/conf/axis2/axis2.xml file:

<parameter name="transport.jms.CacheLevel">producer</parameter>

The possible values for the cache level are none, auto, connection,session and producer. Out of the possible values, producer is the highest level that provides maximum performance.

Remove ClientApiNonBlocking when sending messages via JMS

By default, Axis2 spawns a new thread to handle each outgoing message. To change this behavior, you need to remove the ClientApiNonBlocking property from the message.

To remove the ClientApiNonBlocking property

Add the following parameter to the configuration:

<property name="ClientApiNonBlocking" action="remove" scope="axis2"/>