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> >>>>>>> >>>>>>> >>>>>> >>>>> >>>> >>> >> >
