In general , i need to consume five different type of logs from kafka in spark. I have different set of topics for each log. How to start five different stream in spark ?
*Thanks*, <https://in.linkedin.com/in/ramkumarcs31> On Fri, Oct 30, 2015 at 4:40 PM, Ramkumar V <ramkumar.c...@gmail.com> wrote: > I found NPE is mainly because of im using the same JavaStreamingContext > for some other kafka stream. if i change the name , its running > successfully. how to run multiple JavaStreamingContext in a program ? I'm > getting following exception if i run multiple JavaStreamingContext in > single file. > > 15/10/30 11:04:29 INFO yarn.ApplicationMaster: Final app status: FAILED, > exitCode: 15, (reason: User class threw exception: > java.lang.IllegalStateException: Only one StreamingContext may be started > in this JVM. Currently running StreamingContext was started > atorg.apache.spark.streaming.api.java.JavaStreamingContext.start(JavaStreamingContext.scala:622) > > > *Thanks*, > <https://in.linkedin.com/in/ramkumarcs31> > > > On Fri, Oct 30, 2015 at 3:25 PM, Saisai Shao <sai.sai.s...@gmail.com> > wrote: > >> From the code, I think this field "rememberDuration" shouldn't be null, >> it will be verified at the start, unless some place changes it's value in >> the runtime that makes it null, but I cannot image how this happened. Maybe >> you could add some logs around the place where exception happens if you >> could reproduce it. >> >> On Fri, Oct 30, 2015 at 5:31 PM, Ramkumar V <ramkumar.c...@gmail.com> >> wrote: >> >>> No. this is the only exception that im getting multiple times in my log. >>> Also i was reading some other topics earlier but im not faced this NPE. >>> >>> *Thanks*, >>> <https://in.linkedin.com/in/ramkumarcs31> >>> >>> >>> On Fri, Oct 30, 2015 at 2:50 PM, Saisai Shao <sai.sai.s...@gmail.com> >>> wrote: >>> >>>> I just did a local test with your code, seems everything is fine, the >>>> only difference is that I use the master branch, but I don't think it >>>> changes a lot in this part. Do you met any other exceptions or errors >>>> beside this one? Probably this is due to other exceptions that makes this >>>> system unstable. >>>> >>>> On Fri, Oct 30, 2015 at 5:13 PM, Ramkumar V <ramkumar.c...@gmail.com> >>>> wrote: >>>> >>>>> No, i dont have any special settings. if i keep only reading line in >>>>> my code, it's throwing NPE. >>>>> >>>>> *Thanks*, >>>>> <https://in.linkedin.com/in/ramkumarcs31> >>>>> >>>>> >>>>> On Fri, Oct 30, 2015 at 2:14 PM, Saisai Shao <sai.sai.s...@gmail.com> >>>>> wrote: >>>>> >>>>>> Do you have any special settings, from your code, I don't think it >>>>>> will incur NPE at that place. >>>>>> >>>>>> On Fri, Oct 30, 2015 at 4:32 PM, Ramkumar V <ramkumar.c...@gmail.com> >>>>>> wrote: >>>>>> >>>>>>> spark version - spark 1.4.1 >>>>>>> >>>>>>> my code snippet: >>>>>>> >>>>>>> String brokers = "ip:port,ip:port"; >>>>>>> String topics = "x,y,z"; >>>>>>> HashSet<String> TopicsSet = new >>>>>>> HashSet<String>(Arrays.asList(topics.split(","))); >>>>>>> HashMap<String, String> kafkaParams = new HashMap<String, String>(); >>>>>>> kafkaParams.put("metadata.broker.list", brokers); >>>>>>> >>>>>>> JavaPairInputDStream<String, String> messages = >>>>>>> KafkaUtils.createDirectStream( >>>>>>> jssc, >>>>>>> String.class, >>>>>>> String.class, >>>>>>> StringDecoder.class, >>>>>>> StringDecoder.class, >>>>>>> kafkaParams, >>>>>>> TopicsSet >>>>>>> ); >>>>>>> >>>>>>> messages.foreachRDD(new Function<JavaPairRDD<String , String>,Void> >>>>>>> () { >>>>>>> public Void call(JavaPairRDD<String , String> tuple) { >>>>>>> JavaRDD<String>rdd = tuple.values(); >>>>>>> >>>>>>> rdd.saveAsTextFile("hdfs://myuser:8020/user/hdfs/output"); >>>>>>> return null; >>>>>>> } >>>>>>> }); >>>>>>> >>>>>>> >>>>>>> *Thanks*, >>>>>>> <https://in.linkedin.com/in/ramkumarcs31> >>>>>>> >>>>>>> >>>>>>> On Fri, Oct 30, 2015 at 1:57 PM, Saisai Shao <sai.sai.s...@gmail.com >>>>>>> > wrote: >>>>>>> >>>>>>>> What Spark version are you using, also a small code snippet of how >>>>>>>> you use Spark Streaming would be greatly helpful. >>>>>>>> >>>>>>>> On Fri, Oct 30, 2015 at 3:57 PM, Ramkumar V < >>>>>>>> ramkumar.c...@gmail.com> wrote: >>>>>>>> >>>>>>>>> I can able to read and print few lines. Afterthat i'm getting this >>>>>>>>> exception. Any idea for this ? >>>>>>>>> >>>>>>>>> *Thanks*, >>>>>>>>> <https://in.linkedin.com/in/ramkumarcs31> >>>>>>>>> >>>>>>>>> >>>>>>>>> On Thu, Oct 29, 2015 at 6:14 PM, Ramkumar V < >>>>>>>>> ramkumar.c...@gmail.com> wrote: >>>>>>>>> >>>>>>>>>> Hi, >>>>>>>>>> >>>>>>>>>> I'm trying to read from kafka stream and printing it textfile. >>>>>>>>>> I'm using java over spark. I dont know why i'm getting the following >>>>>>>>>> exception. Also exception message is very abstract. can anyone >>>>>>>>>> please help >>>>>>>>>> me ? >>>>>>>>>> >>>>>>>>>> Log Trace : >>>>>>>>>> >>>>>>>>>> 15/10/29 12:15:09 ERROR scheduler.JobScheduler: Error in job >>>>>>>>>> generator >>>>>>>>>> java.lang.NullPointerException >>>>>>>>>> at >>>>>>>>>> org.apache.spark.streaming.DStreamGraph$$anonfun$getMaxInputStreamRememberDuration$2.apply(DStreamGraph.scala:172) >>>>>>>>>> at >>>>>>>>>> org.apache.spark.streaming.DStreamGraph$$anonfun$getMaxInputStreamRememberDuration$2.apply(DStreamGraph.scala:172) >>>>>>>>>> at >>>>>>>>>> scala.collection.TraversableOnce$$anonfun$maxBy$1.apply(TraversableOnce.scala:225) >>>>>>>>>> at >>>>>>>>>> scala.collection.IndexedSeqOptimized$class.foldl(IndexedSeqOptimized.scala:51) >>>>>>>>>> at >>>>>>>>>> scala.collection.IndexedSeqOptimized$class.reduceLeft(IndexedSeqOptimized.scala:68) >>>>>>>>>> at >>>>>>>>>> scala.collection.mutable.ArrayBuffer.reduceLeft(ArrayBuffer.scala:47) >>>>>>>>>> at >>>>>>>>>> scala.collection.TraversableOnce$class.maxBy(TraversableOnce.scala:225) >>>>>>>>>> at >>>>>>>>>> scala.collection.AbstractTraversable.maxBy(Traversable.scala:105) >>>>>>>>>> at >>>>>>>>>> org.apache.spark.streaming.DStreamGraph.getMaxInputStreamRememberDuration(DStreamGraph.scala:172) >>>>>>>>>> at >>>>>>>>>> org.apache.spark.streaming.scheduler.JobGenerator.clearMetadata(JobGenerator.scala:267) >>>>>>>>>> at org.apache.spark.streaming.scheduler.JobGenerator.org >>>>>>>>>> $apache$spark$streaming$scheduler$JobGenerator$$processEvent(JobGenerator.scala:178) >>>>>>>>>> at >>>>>>>>>> org.apache.spark.streaming.scheduler.JobGenerator$$anon$1.onReceive(JobGenerator.scala:83) >>>>>>>>>> at >>>>>>>>>> org.apache.spark.streaming.scheduler.JobGenerator$$anon$1.onReceive(JobGenerator.scala:82) >>>>>>>>>> at >>>>>>>>>> org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) >>>>>>>>>> 15/10/29 12:15:09 ERROR yarn.ApplicationMaster: User class threw >>>>>>>>>> exception: java.lang.NullPointerException >>>>>>>>>> java.lang.NullPointerException >>>>>>>>>> at >>>>>>>>>> org.apache.spark.streaming.DStreamGraph$$anonfun$getMaxInputStreamRememberDuration$2.apply(DStreamGraph.scala:172) >>>>>>>>>> at >>>>>>>>>> org.apache.spark.streaming.DStreamGraph$$anonfun$getMaxInputStreamRememberDuration$2.apply(DStreamGraph.scala:172) >>>>>>>>>> at >>>>>>>>>> scala.collection.TraversableOnce$$anonfun$maxBy$1.apply(TraversableOnce.scala:225) >>>>>>>>>> at >>>>>>>>>> scala.collection.IndexedSeqOptimized$class.foldl(IndexedSeqOptimized.scala:51) >>>>>>>>>> at >>>>>>>>>> scala.collection.IndexedSeqOptimized$class.reduceLeft(IndexedSeqOptimized.scala:68) >>>>>>>>>> at >>>>>>>>>> scala.collection.mutable.ArrayBuffer.reduceLeft(ArrayBuffer.scala:47) >>>>>>>>>> at >>>>>>>>>> scala.collection.TraversableOnce$class.maxBy(TraversableOnce.scala:225) >>>>>>>>>> at >>>>>>>>>> scala.collection.AbstractTraversable.maxBy(Traversable.scala:105) >>>>>>>>>> at >>>>>>>>>> org.apache.spark.streaming.DStreamGraph.getMaxInputStreamRememberDuration(DStreamGraph.scala:172) >>>>>>>>>> at >>>>>>>>>> org.apache.spark.streaming.scheduler.JobGenerator.clearMetadata(JobGenerator.scala:267) >>>>>>>>>> at org.apache.spark.streaming.scheduler.JobGenerator.org >>>>>>>>>> $apache$spark$streaming$scheduler$JobGenerator$$processEvent(JobGenerator.scala:178) >>>>>>>>>> at >>>>>>>>>> org.apache.spark.streaming.scheduler.JobGenerator$$anon$1.onReceive(JobGenerator.scala:83) >>>>>>>>>> at >>>>>>>>>> org.apache.spark.streaming.scheduler.JobGenerator$$anon$1.onReceive(JobGenerator.scala:82) >>>>>>>>>> at >>>>>>>>>> org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> *Thanks*, >>>>>>>>>> <https://in.linkedin.com/in/ramkumarcs31> >>>>>>>>>> >>>>>>>>>> >>>>>>>>> >>>>>>>> >>>>>>> >>>>>> >>>>> >>>> >>> >> >
