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From "Nazar Vishka (JIRA)" <j...@apache.org>
Subject [jira] [Created] (CAMEL-11750) Camel route with multicast (parallel) generate huge CPU load
Date Wed, 06 Sep 2017 10:15:00 GMT
Nazar Vishka created CAMEL-11750:
------------------------------------

             Summary: Camel route with multicast (parallel) generate huge CPU load
                 Key: CAMEL-11750
                 URL: https://issues.apache.org/jira/browse/CAMEL-11750
             Project: Camel
          Issue Type: Bug
          Components: camel-core
            Reporter: Nazar Vishka
            Priority: Critical


I've created simple [Spring Camel Route application|https://github.com/leofromgroza/camel-long-term-route]
that can be used for issue reproducing. Here we have very simple route:
{code}
    public void configure() throws Exception {
        from("direct:start").routeId("start")
                .multicast().parallelProcessing()
                .to("direct:very-long-task", "direct:long-task")
                .end();

        from("direct:long-task").routeId("long-task")
                .log("Started long-task")
                .process(exchange -> Thread.sleep(5000))
                .log("Finished long-task")
                .end();
        from("direct:very-long-task").routeId("very-long-task")
                .log("Started very-long-task")
                .process(exchange -> Thread.sleep(35000))
                .log("Finished very-long-task")
                .end();
    }{code}
>From our main route 'start' we are starting in parallel two sub-routes: 'long-task' and
'very-long-task'. They are just doing something for some period of time and do not generate
any load to the system.
But I found that when one task finished earlier than other one, route start to make a huge
CPU load. Here you can see a CPU usage during executiong of Camel route that was mentioned
earlier (after finishing of 'long-task' usage of CPU uncreased from 0 to 12.5%):
!https://content.screencast.com/users/NazarV/folders/Jing/media/830268f0-d184-4c57-adb1-b782ea63fa6d/2017-09-06_1241.png!
Screenshot was made when I was running route on my Windows PC with 4 physical CPU cores +
4 HT. On Unix systems we found that after end of 'long-task' it used 100% of one core till
the end of work.
One more interesting thing that i've found is that the main load on the system was generated
by the thread MulticastProcessor-AggregateTask that was spending a lot of time in the method
java.util.concurrent.locks.AbstractQueuedSynchronizer.ConditionObject#awaitNanos that was
called from java.util.concurrent.DelayQueue#poll(long, java.util.concurrent.TimeUnit):
{code}"Camel (camel-1) thread #2 - MulticastProcessor-AggregateTask" #29 daemon prio=5 os_prio=0
tid=0x00000000215e3000 nid=0x7a0 runnable [0x0000000022eaf000]
   java.lang.Thread.State: RUNNABLE
	at java.lang.Thread.isInterrupted(Native Method)
	at java.lang.Thread.interrupted(Thread.java:944)
	at java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.checkInterruptWhileWaiting(AbstractQueuedSynchronizer.java:2002)
	at java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.awaitNanos(AbstractQueuedSynchronizer.java:2079)
	at java.util.concurrent.DelayQueue.poll(DelayQueue.java:273)
	at org.apache.camel.util.concurrent.SubmitOrderedCompletionService.poll(SubmitOrderedCompletionService.java:127)
	at org.apache.camel.processor.MulticastProcessor$AggregateOnTheFlyTask.aggregateOnTheFly(MulticastProcessor.java:463)
	at org.apache.camel.processor.MulticastProcessor$AggregateOnTheFlyTask.run(MulticastProcessor.java:418)
	at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
	at java.util.concurrent.FutureTask.run(FutureTask.java:266)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745){code}
In DelayQueue#poll(long, java.util.concurrent.TimeUnit) we have a piece of code:
{code}E first = q.peek();
if (first == null) {
 ...
} else {
  long delay = first.getDelay(NANOSECONDS);
    ...
  long timeLeft =  available.awaitNanos(delay) {code}
During debugging I found that E first is object of class [org.apache.camel.util.concurrent.SubmitOrderedCompletionService.SubmitOrderFutureTask|https://github.com/apache/camel/blob/camel-2.19.2/camel-core/src/main/java/org/apache/camel/util/concurrent/SubmitOrderedCompletionService.java]
and it's very interesting [getDelay(TimeUnit) method|https://github.com/apache/camel/blob/camel-2.19.2/camel-core/src/main/java/org/apache/camel/util/concurrent/SubmitOrderedCompletionService.java#L64]
always return 1. I thing that is a source of current issue:
{code} public long getDelay(TimeUnit unit) {
            // if the answer is 0 then this task is ready to be taken
            return id - index.get();
        }{code}
So when delay is 1, AggregateTask thread is not sleeping at all and generates a huge CPU load
all the time when it is waiting for the end of the last task.
I think that [getDelay(TimeUnit) method|https://github.com/apache/camel/blob/camel-2.19.2/camel-core/src/main/java/org/apache/camel/util/concurrent/SubmitOrderedCompletionService.java#L64]
should be somehow re-implemented.



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