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Posted to user@spark.apache.org by Iriasthor <mi...@gmail.com> on 2014/09/04 17:58:12 UTC

EC2 - JNI crashes JVM with multi core instances

Hi,

I am trying to run a custom Spark application on a Spark standalone cluster
on Amazon's EC2 infrastructure. So far I have successfully executed the
application on several m1.medium instances (each with one core). However,
when I try executing the very same application on some c1.medium instances
(each with two cores), a JVM crash occurs with no further information. 

Is there any known issue with combining JNI and multiple cored instances?

Code piece:

/JavaRDD<String> result = file.mapPartitions(
      new FlatMapFunction <Iterator&lt;String> , String>()
      {

      @Override
      public Iterable<String> call(Iterator <String> t) throws Exception {                   

      ArrayList <String> tmp= new ArrayList <String>();

       while(t.hasNext()){
            tmp.add(t.next());  
       }

            return Arrays.asList(myNativeFunc(arg1,arg2));
       }

}).cache();/



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Re: EC2 - JNI crashes JVM with multi core instances

Posted by Iriasthor <mi...@gmail.com>.
Hi, thanks for the reply.

Actually, I think you are correct about the native library not being thread
safe. However, for what I understand, different cores should start different
processes, being these independent from one another. If I am not mistaken,
the thread safe issue would start being critical when using threads. What is
your opinion about this matter?



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Re: EC2 - JNI crashes JVM with multi core instances

Posted by maxpar <hl...@gmail.com>.
Hi,

What is the setup of your native library? Probably it is not thread safe?

Thanks,

Max



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