I have a simple spring integration app, where I'm attempting to publish a task to a queue-channel, and then have a worker pick up the task and execute it. (from a pool with multiple concurrent workers available).
I'm finding that the thread pool is quickly exhausted, and tasks are rejected.
Here's my config:
<int:annotation-config />
<task:annotation-driven executor="executor" scheduler="scheduler"/>
<task:executor id="executor" pool-size="5-20" rejection-policy="CALLER_RUNS" />
<task:scheduler id="scheduler" pool-size="5"/>
<int:gateway service-interface="com.example.MyGateway">
<int:method name="queueForSync" request-channel="worker.channel" />
</int:gateway>
<int:channel id="worker.channel">
<int:queue />
</int:channel>
<bean class="com.example.WorkerBean" id="workerBean" />
<int:service-activator ref="workerBean" method="doWork" input-channel="worker.channel">
<int:poller fixed-delay="50" task-executor="executor" receive-timeout="0" />
</int:service-activator>
This question is very similar to another I asked a while back, here. The main difference is that I'm not using an AMQP message broker here, just internal spring message channels.
I haven't been able to find an an analogy for the concurrent-consumer concept in vanilla spring channels.
Moreover, I've adopted Gary Russell's suggested config:
To avoid this, simply set the receive-timeout to 0 on the
<poller/>
Despite that, I'm still getting the pool exhausted.
What's the correct configuration for this goal?
As an aside - two other smells here suggest that my config is wrong:
- Why am I getting rejected exceptions when the
rejection-policyisCALLER_RUNS? - The exceptions start occurring when the
queued tasks = 1000. Given there's no queue-capacity on the executor, shouldn't the queue be unbounded?
Exception stack trace shown:
[Mon Dec 2013 17:44:57.172] ERROR [task-scheduler-6] (org.springframework.integration.handler.LoggingHandler:126) - org.springframework.core.task.TaskRejectedException: Executor [java.util.concurrent.ThreadPoolExecutor@48e83911[Running, pool size = 20, active threads = 20, queued tasks = 1000, completed tasks = 48]] did not accept task: org.springframework.integration.util.ErrorHandlingTaskExecutor$1@a5798e
at org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor.execute(ThreadPoolTaskExecutor.java:244)
at org.springframework.integration.util.ErrorHandlingTaskExecutor.execute(ErrorHandlingTaskExecutor.java:49)
at org.springframework.integration.endpoint.AbstractPollingEndpoint$Poller.run(AbstractPollingEndpoint.java:231)
at org.springframework.scheduling.support.DelegatingErrorHandlingRunnable.run(DelegatingErrorHandlingRunnable.java:53)
at org.springframework.scheduling.concurrent.ReschedulingRunnable.run(ReschedulingRunnable.java:81)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
at java.util.concurrent.FutureTask.run(FutureTask.java:262)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:178)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:292)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:744)
Caused by: java.util.concurrent.RejectedExecutionException: Task org.springframework.integration.util.ErrorHandlingTaskExecutor$1@a5798e rejected from java.util.concurrent.ThreadPoolExecutor@48e83911[Running, pool size = 20, active threads = 20, queued tasks = 1000, completed tasks = 48]
at java.util.concurrent.ThreadPoolExecutor$AbortPolicy.rejectedExecution(ThreadPoolExecutor.java:2048)
at java.util.concurrent.ThreadPoolExecutor.reject(ThreadPoolExecutor.java:821)
at java.util.concurrent.ThreadPoolExecutor.execute(ThreadPoolExecutor.java:1372)
at org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor.execute(ThreadPoolTaskExecutor.java:241)
... 11 more