Apache Tomcat 7 Integration
To use the JNDI Bindings for Camunda Platform Services on Apache Tomcat 7 you have to add the file
META-INF/context.xml to your process application and add the following ResourceLinks:
<Context> <ResourceLink name="ProcessEngineService" global="global/camunda-bpm-platform/process-engine/ProcessEngineService!org.camunda.bpm.ProcessEngineService" type="org.camunda.bpm.ProcessEngineService" /> <ResourceLink name="ProcessApplicationService" global="global/camunda-bpm-platform/process-engine/ProcessApplicationService!org.camunda.bpm.ProcessApplicationService" type="org.camunda.bpm.ProcessApplicationService" /> </Context>
These elements are used to create a link to the global JNDI Resources defined in
Furthermore, declare the dependency on the JNDI binding inside the
WEB-INF/web.xml deployment descriptor.
<web-app> <resource-ref> <description>Process Engine Service</description> <res-ref-name>ProcessEngineService</res-ref-name> <res-type>org.camunda.bpm.ProcessEngineService</res-type> <res-auth>Container</res-auth> </resource-ref> <resource-ref> <description>Process Application Service</description> <res-ref-name>ProcessApplicationService</res-ref-name> <res-type>org.camunda.bpm.ProcessApplicationService</res-type> <res-auth>Container</res-auth> </resource-ref> ... </web-app>
Note: You can choose different resource link names for the Process Engine Service and Process Application Service. The resource link name has to match the value inside the
<res-ref-name>-element inside the corresponding
WEB-INF/web.xml. We propose the name
ProcessEngineService for the Process Engine Service and
ProcessApplicationService for the Process Application Service.
To do a lookup for a Camunda Platform Service you have to use the resource link name to get the linked global resource. For example:
- Process Engine Service:
- Process Application Service:
If you have declared other resource link names than we proposed, you have to use
java:comp/env/$YOUR_RESOURCE_LINK_NAME to do a lookup to get the corresponding Camunda Platform Service.
Job Executor Configuration
Tomcat Default Job Executor
The Camunda Platform on Apache Tomcat 7.x uses the default job executor. The default job executor uses a ThreadPoolExecutor which manages a thread pool and a job queue.
The core pool size, queue size, maximum pool size and keep-alive-time can be configured in the
After configuring job acquisition, it is possible to set the values with the help of a
tag. The correct syntax can be found in the references.
All the previously mentioned properties except the queue size can be modified at runtime via the use of a JMX client.
Core Pool Size
The ThreadPoolExecutor automatically adjusts the size of the thread pool. The number of threads in the thread pool will tend to come to equilibrium with the number of threads set to core pool size. If a new job is presented to the job executor and the total number of threads in the pool is less than core, then a new thread will be created. Hence on initial use, the number of threads in the thread pool will ramp up to the core thread count.
- The default core pool size is 3.
The ThreadPoolExecutor includes a job queue for buffering jobs. Once the core number of threads has been reached (and are in use), a new job presented to the job executor will result in the job being added to the ThreadPoolExecutor job queue.
- The default maximum length of the job queue is 3.
Maximum Pool Size
If the length of the queue were to exceed the maximum queue size, and the number of threads in the thread pool is less than the maximum pool size, then an additional thread is added to the thread pool. This will continue until the number of threads in the pool is equal to the maximum pool size:
- The default maximum pool size is 10.
If a thread remains idle in the thread pool for longer than the keepalive time, and the number of threads exceeds core pool size, then the thread will be terminated. Hence the pool tends to settle around core thread count.
- The default keepalive time is 0.
In a clustered deployment, multiple job executors will work with each other (Note: see Job Execution in Heterogeneous Clusters). On startup, each job executor allocates a UUID which is used for identifying locked job ownership in the job table. Hence in a two node cluster, the job executors may total up to 20 concurrent threads of execution.