I don't see anything glaring.  I would try increasing heap size.  It could
be that you're right on the threshold of what you've allocated and you just
need more memory.

On Thu, Mar 5, 2015 at 5:41 PM, Sa Li <[email protected]> wrote:

> Hi, All,
> ,
> I kind locate where the problem come from, in my running command, I will
> specify the clientid of TridentKafkaConfig, if I keep the clientid as the
> one I used before, it will cause GC error, otherwise I am completely OK.
> Here is the code:
>
> if (parameters.containsKey("clientid")) {
>     logger.info("topic=>" + parameters.get("clientid") + "/" + 
> parameters.get("topic"));
>     spoutConf = new TridentKafkaConfig(zk, parameters.get("topic"), 
> parameters.get("clientid"));
>
> Any idea about this error?
>
>
> Thanks
>
>
> AL
>
>
> On Thu, Mar 5, 2015 at 12:02 PM, Sa Li <[email protected]> wrote:
>
>> Sorry, continue last thread:
>>
>> 2015-03-05T11:48:08.418-0800 b.s.util [ERROR] Async loop died!
>> java.lang.RuntimeException: java.lang.RuntimeException: Remote address is
>> not reachable. We will close this client Netty-Client-complicated-laugh/
>> 10.100.98.103:6703
>>         at
>> backtype.storm.utils.DisruptorQueue.consumeBatchToCursor(DisruptorQueue.java:128)
>> ~[storm-core-0.9.3.jar:0.9.3]
>>         at
>> backtype.storm.utils.DisruptorQueue.consumeBatchWhenAvailable(DisruptorQueue.java:99)
>> ~[storm-core-0.9.3.jar:0.9.3]
>>         at
>> backtype.storm.disruptor$consume_batch_when_available.invoke(disruptor.clj:80)
>> ~[storm-core-0.9.3.jar:0.9.3]
>>         at
>> backtype.storm.disruptor$consume_loop_STAR_$fn__1460.invoke(disruptor.clj:94)
>> ~[storm-core-0.9.3.jar:0.9.3]
>>         at backtype.storm.util$async_loop$fn__464.invoke(util.clj:463)
>> ~[storm-core-0.9.3.jar:0.9.3]
>>         at clojure.lang.AFn.run(AFn.java:24) [clojure-1.5.1.jar:na]
>>         at java.lang.Thread.run(Thread.java:745) [na:1.7.0_65]
>> Caused by: java.lang.RuntimeException: Remote address is not reachable.
>> We will close this client Netty-Client-complicated-laugh/
>> 10.100.98.103:6703
>>         at backtype.storm.messaging.netty.Client.connect(Client.java:171)
>> ~[storm-core-0.9.3.jar:0.9.3]
>>         at backtype.storm.messaging.netty.Client.send(Client.java:194)
>> ~[storm-core-0.9.3.jar:0.9.3]
>>         at
>> backtype.storm.utils.TransferDrainer.send(TransferDrainer.java:54)
>> ~[storm-core-0.9.3.jar:0.9.3]
>>         at
>> backtype.storm.daemon.worker$mk_transfer_tuples_handler$fn__3730$fn__3731.invoke(worker.clj:330)
>> ~[storm-core-0.9.3.jar:0.9.3]
>>         at
>> backtype.storm.daemon.worker$mk_transfer_tuples_handler$fn__3730.invoke(worker.clj:328)
>> ~[storm-core-0.9.3.jar:0.9.3]
>>         at
>> backtype.storm.disruptor$clojure_handler$reify__1447.onEvent(disruptor.clj:58)
>> ~[storm-core-0.9.3.jar:0.9.3]
>>         at
>> backtype.storm.utils.DisruptorQueue.consumeBatchToCursor(DisruptorQueue.java:125)
>> ~[storm-core-0.9.3.jar:0.9.3]
>>         ... 6 common frames omitted
>> 2015-03-05T11:48:08.423-0800 b.s.util [ERROR] Halting process: ("Async
>> loop died!")
>> java.lang.RuntimeException: ("Async loop died!")
>>         at backtype.storm.util$exit_process_BANG_.doInvoke(util.clj:325)
>> [storm-core-0.9.3.jar:0.9.3]
>>         at clojure.lang.RestFn.invoke(RestFn.java:423)
>> [clojure-1.5.1.jar:na]
>>         at
>> backtype.storm.disruptor$consume_loop_STAR_$fn__1458.invoke(disruptor.clj:92)
>> [storm-core-0.9.3.jar:0.9.3]
>>         at backtype.storm.util$async_loop$fn__464.invoke(util.clj:473)
>> [storm-core-0.9.3.jar:0.9.3]
>>         at clojure.lang.AFn.run(AFn.java:24) [clojure-1.5.1.jar:na]
>>         at java.lang.Thread.run(Thread.java:745) [na:1.7.0_65]
>> 2015-03-05T11:48:08.425-0800 b.s.d.worker [INFO] Shutting down worker
>> eventsStreamerv1-48-1425499636 0673ece0-cea2-4185-9b3e-6c49ad585576 6703
>> 2015-03-05T11:48:08.426-0800 b.s.m.n.Client [INFO] Closing Netty Client
>> Netty-Client-beloved-judge/10.100.98.104:6703
>>
>> I doubt this is caused by my eventUpfater, which write data in batch
>>
>> static class EventUpdater implements ReducerAggregator<List<String>> {
>>
>>             @Override
>>             public List<String> init(){
>>                      return null;
>>             }
>>
>>             @Override
>>             public List<String> reduce(List<String> curr, TridentTuple 
>> tuple) {
>>                    List<String> updated = null ;
>>
>>                    if ( curr == null ) {
>>                                     String event = (String) 
>> tuple.getValue(1);
>>                                     System.out.println("===:" + event + ":");
>>                                     updated = Lists.newArrayList(event);
>>                    } else {
>>                                     System.out.println("===+" +  tuple + 
>> ":");
>>                                     updated = curr ;
>>                    }
>> //              System.out.println("(())");
>>               return updated ;
>>             }
>>         }
>>
>> How do you think
>>
>> THanks
>>
>> On Thu, Mar 5, 2015 at 11:57 AM, Sa Li <[email protected]> wrote:
>>
>>> Thank you very much for the reply, here is error I saw in production
>>> server worker-6703.log,
>>>
>>>
>>> On Thu, Mar 5, 2015 at 11:31 AM, Nathan Leung <[email protected]> wrote:
>>>
>>>> Yeah, then in this case maybe you can install JDK / Yourkit in the
>>>> remote machines and run the tools over X or something.  I'm assuming this
>>>> is a development cluster (not live / production) and that installing
>>>> debugging tools and running remote UIs etc is not a problem.  :)
>>>>
>>>> On Thu, Mar 5, 2015 at 1:52 PM, Andrew Xor <[email protected]
>>>> > wrote:
>>>>
>>>>> Nathan I think that if he wants to profile a bolt per se that runs in
>>>>> a worker that resides in a different cluster node than the one the
>>>>> profiling tool runs he won't be able to attach the process since it 
>>>>> resides
>>>>> in a different physical machine, me thinks (well, now that I think of it
>>>>> better it can be done... via remote debugging but that's just a pain in 
>>>>> the
>>>>> ***).
>>>>>
>>>>> Regards,
>>>>>
>>>>> A.
>>>>>
>>>>> On Thu, Mar 5, 2015 at 8:46 PM, Nathan Leung <[email protected]>
>>>>> wrote:
>>>>>
>>>>>> You don't need to change your code. As Andrew mentioned you can get a
>>>>>> lot of mileage by profiling your logic in a standalone program. For
>>>>>> jvisualvm, you can just run your program (a loop that runs for a long 
>>>>>> time
>>>>>> is best) then attach to the running process with jvisualvm.  It's pretty
>>>>>> straightforward to use and you can also find good guides with a Google
>>>>>> search.
>>>>>> On Mar 5, 2015 1:43 PM, "Andrew Xor" <[email protected]>
>>>>>> wrote:
>>>>>>
>>>>>>> ​
>>>>>>> Well...  detecting memory leaks in Java is a bit tricky as Java does
>>>>>>> a lot for you. Generally though, as long as you avoid using "new" 
>>>>>>> operator
>>>>>>> and close any resources that you do not use you should be fine... but a
>>>>>>> Profiler such as the ones mentioned by Nathan will tell you the whole
>>>>>>> truth. YourKit is awesome and has a free trial, go ahead and test drive 
>>>>>>> it.
>>>>>>> I am pretty sure that you need a working jar (or compilable code that 
>>>>>>> has a
>>>>>>> main function in it) in order to profile it, although if you want to
>>>>>>> profile your bolts and spouts is a bit tricker. Hopefully your algorithm
>>>>>>> (or portions of it) can be put in a sample test program that is able to 
>>>>>>> be
>>>>>>> executed locally for you to profile it.
>>>>>>>
>>>>>>> Hope this helped. Regards,
>>>>>>>
>>>>>>> A.
>>>>>>> ​
>>>>>>>
>>>>>>> On Thu, Mar 5, 2015 at 8:33 PM, Sa Li <[email protected]> wrote:
>>>>>>>
>>>>>>>>
>>>>>>>> On Thu, Mar 5, 2015 at 10:26 AM, Andrew Xor <
>>>>>>>> [email protected]> wrote:
>>>>>>>>
>>>>>>>>> Unfortunately that is not fixed, it depends on the computations
>>>>>>>>> and data-structures you have; in my case for example I use more than 
>>>>>>>>> 2GB
>>>>>>>>> since I need to keep a large matrix in memory... having said that, in 
>>>>>>>>> most
>>>>>>>>> cases it should be relatively easy to estimate how much memory you are
>>>>>>>>> going to need and use that... or if that's not possible you can just
>>>>>>>>> increase it and try the "set and see" approach. Check for memory 
>>>>>>>>> leaks as
>>>>>>>>> well... (unclosed resources and so on...!)
>>>>>>>>>
>>>>>>>>> Regards.
>>>>>>>>>
>>>>>>>>> ​A.​
>>>>>>>>>
>>>>>>>>> On Thu, Mar 5, 2015 at 8:21 PM, Sa Li <[email protected]>
>>>>>>>>> wrote:
>>>>>>>>>
>>>>>>>>>> Thanks, Nathan. How much is should be in general?
>>>>>>>>>>
>>>>>>>>>> On Thu, Mar 5, 2015 at 10:15 AM, Nathan Leung <[email protected]>
>>>>>>>>>> wrote:
>>>>>>>>>>
>>>>>>>>>>> Your worker is allocated a maximum of 768mb of heap. It's quite
>>>>>>>>>>> possible that this is not enough. Try increasing Xmx i 
>>>>>>>>>>> worker.childopts.
>>>>>>>>>>> On Mar 5, 2015 1:10 PM, "Sa Li" <[email protected]> wrote:
>>>>>>>>>>>
>>>>>>>>>>>> Hi, All
>>>>>>>>>>>>
>>>>>>>>>>>> I have been running a trident topology on production server,
>>>>>>>>>>>> code is like this:
>>>>>>>>>>>>
>>>>>>>>>>>> topology.newStream("spoutInit", kafkaSpout)
>>>>>>>>>>>>                 .each(new Fields("str"),
>>>>>>>>>>>>                         new JsonObjectParse(),
>>>>>>>>>>>>                         new Fields("eventType", "event"))
>>>>>>>>>>>>                 .parallelismHint(pHint)
>>>>>>>>>>>>                 .groupBy(new Fields("event"))
>>>>>>>>>>>>                 
>>>>>>>>>>>> .persistentAggregate(PostgresqlState.newFactory(config), new 
>>>>>>>>>>>> Fields("eventType"), new EventUpdater(), new Fields("eventWord"))
>>>>>>>>>>>>         ;
>>>>>>>>>>>>
>>>>>>>>>>>>         Config conf = new Config();
>>>>>>>>>>>>         conf.registerMetricsConsumer(LoggingMetricsConsumer.class, 
>>>>>>>>>>>> 1);
>>>>>>>>>>>>
>>>>>>>>>>>> Basically, it does simple things to get data from kafka, parse to 
>>>>>>>>>>>> different field and write into postgresDB. But in storm UI, I did 
>>>>>>>>>>>> see such error, "java.lang.OutOfMemoryError: GC overhead limit 
>>>>>>>>>>>> exceeded". It all happens in same worker of each node - 6703. I 
>>>>>>>>>>>> understand this is because by default the JVM is configured to 
>>>>>>>>>>>> throw this error if you are spending more than *98% of the total 
>>>>>>>>>>>> time in GC and after the GC less than 2% of the heap is recovered*.
>>>>>>>>>>>>
>>>>>>>>>>>> I am not sure what is exact cause for memory leak, is it OK by 
>>>>>>>>>>>> simply increase the heap? Here is my storm.yaml:
>>>>>>>>>>>>
>>>>>>>>>>>> supervisor.slots.ports:
>>>>>>>>>>>>
>>>>>>>>>>>>      - 6700
>>>>>>>>>>>>
>>>>>>>>>>>>      - 6701
>>>>>>>>>>>>
>>>>>>>>>>>>      - 6702
>>>>>>>>>>>>
>>>>>>>>>>>>      - 6703
>>>>>>>>>>>>
>>>>>>>>>>>> nimbus.childopts: "-Xmx1024m -Djava.net.preferIPv4Stack=true"
>>>>>>>>>>>>
>>>>>>>>>>>> ui.childopts: "-Xmx768m -Djava.net.preferIPv4Stack=true"
>>>>>>>>>>>>
>>>>>>>>>>>> supervisor.childopts: "-Djava.net.preferIPv4Stack=true"
>>>>>>>>>>>>
>>>>>>>>>>>> worker.childopts: "-Xmx768m -Djava.net.preferIPv4Stack=true"
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>> Anyone has similar issues, and what will be the best way to
>>>>>>>>>>>> overcome?
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>> thanks in advance
>>>>>>>>>>>>
>>>>>>>>>>>> AL
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>
>>>>>>>>
>>>>>
>>>>
>>>
>>
>

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