To help optimize performance, you can set tuning properties that control the performance of message-driven beans and other messaging applications deployed to use service integration technologies.
To optimize the performance of messaging with service integration technologies, you can use the administrative console to set various parameters as described in the steps below. You can also set these parameters by using the wsadmin tool.
Viewing the Available Message Count on a destination enables you to determine whether your message consumers are able to cope with your current workload. If the available message count on a given destination is too high, or is increasing over time, consider some of the tuning recommendations in this topic.
You can use the Data Monitoring panel to manage the collection of monitoring data; for example, you can use the buttons to start or stop logging, or to change the data displayed as either a table or graph.
You might experience a performance bottleneck if there are insufficient threads available for the message-driven beans. There is a trade-off between providing sufficient threads to maximize the throughput of messages and configuring too many threads, which can lead to CPU starvation of the threads in the application server. If you notice that the throughput for express nonpersistent, reliable nonpersistent, or reliable persistent messaging has fallen as a result of increasing the size of the default thread pool, then decrease the size of the thread pool and reassess the message throughput.
Delivering batches of messages to each MDB endpoint can improve performance, particularly when used with Acknowledge mode set to Duplicates-ok auto-acknowledge. However, if message ordering must be retained across failed deliveries, set this parameter to 1.
The maximum concurrent endpoints parameter controls the amount of concurrent work that can be processed by a message bean. The parameter is used with message-driven beans. Increasing the number of concurrent endpoints can improve performance but can increase the number of threads in use at one time. To benefit from a change in this parameter, there should be sufficient threads available in the MDB thread pool to support the concurrent work. However, if message ordering must be retained across failed deliveries, set this parameter to 1.
For an application server that is a bus member of at least one bus, or a member of a cluster that is a bus member of at least one bus, the recommended initial and maximum heap sizes are 768MB.
When you are adding a cluster to a bus, you are recommended to increase the initial and maximum JVM heap sizes for every server in the cluster to 768MB.
If the cumulative size of the set of messages being processed within a transaction by the service integration bus is large enough to exhaust the JVM heap, OutOfMemoryError exceptions occur. Consider one of the following options for reducing the occurrence of OutOfMemoryError exceptions when processing a large set of messages within a transaction.
During the peak activity period, it is essential to ensure that the messaging engine has adequate heap size to handle the messaging engine failover processes. This also applies when the messaging engine is failing over to another instance in a cluster member environment when the JVM heap is nearly exhausted. In such situations, you must increase the maximum heap size value by approximately 512 MB for each of the cluster members that are eligible to host the messaging engine in a failover situation. For example, for WebSphere Application Server on z/OS, the adjunct heap value must be increased by 512 MB for cluster members associated with the messaging engine if you are running under conditions that nearly exhaust the JVM heap.
The maximum connections parameter limits the number of local connections. The default is 10. This parameter should be set to a number equal to or greater than the number of threads (enterprise beans) concurrently sending messages.
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