Yaa got it Thanks Akhil.
From: Akhil Das [mailto:ak...@sigmoidanalytics.com] Sent: Tuesday, July 28, 2015 2:47 PM To: Manohar Reddy Cc: user@spark.apache.org Subject: Re: java.lang.ArrayIndexOutOfBoundsException: 0 on Yarn Client That happens when you batch duration is less than your processing time, you need to set StorageLevel to MEMORY_AND_DISK, if you are using the latest version of spark and you are just exploring things, then you can go with the kafka consumers that comes with Spark itself. You will not have this issue with KafkaUtils.directStream since it is not a receiver based consumer. Thanks Best Regards On Tue, Jul 28, 2015 at 2:36 PM, Manohar Reddy <manohar.re...@happiestminds.com<mailto:manohar.re...@happiestminds.com>> wrote: Thanks Akhil.that solved now but below is the new stack trace. Don’t feel bad, am look into that but if it is there in your fingers please 15/07/28 09:03:31 WARN scheduler.TaskSetManager: Lost task 0.0 in stage 5.0 (TID 77, ip-10-252-7-70.us-west-2.compute.internal): java.lang.Exception: Could not compute split, block input-0-1438074176218 not found at org.apache.spark.rdd.BlockRDD.compute(BlockRDD.scala:51) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277) at org.apache.spark.rdd.RDD.iterator(RDD.scala:244) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277) at org.apache.spark.rdd.RDD.iterator(RDD.scala:244) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277) at org.apache.spark.rdd.RDD.iterator(RDD.scala:244) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277) at org.apache.spark.rdd.RDD.iterator(RDD.scala:244) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277) at org.apache.spark.rdd.RDD.iterator(RDD.scala:244) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63) at org.apache.spark.scheduler.Task.run(Task.scala:70) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) From: Akhil Das [mailto:ak...@sigmoidanalytics.com<mailto:ak...@sigmoidanalytics.com>] Sent: Tuesday, July 28, 2015 2:30 PM To: Manohar Reddy Cc: user@spark.apache.org<mailto:user@spark.apache.org> Subject: Re: java.lang.ArrayIndexOutOfBoundsException: 0 on Yarn Client You need to trigger an action on your rowrdd for it to execute the map, you can do a rowrdd.count() for that. Thanks Best Regards On Tue, Jul 28, 2015 at 2:18 PM, Manohar Reddy <manohar.re...@happiestminds.com<mailto:manohar.re...@happiestminds.com>> wrote: Hi Akhil, Thanks for thereply.I found the root cause but don’t know how to solve this. Below is the cause.this map function not going inside to execute because of this all my list fields are empty. Please let me know what might be the cause to not execute this snippet of code.the below map is not execution not going inside. JavaRDD<Row> rowrdd=rdd.map(new Function<MessageAndMetadata, Row>() { @Override public Row call(MessageAndMetadata arg0) throws Exception { System.out.println("inside thread map callllllllllllllll"); String[] data=new String(arg0.getPayload()).split("\\|"); int i=0; for (String string : data) { if(i>3){ if(i%2==0){ fields.add(DataTypes.createStructField(string, DataTypes.StringType, true)); System.out.println(string); }else{ listvalues.add(string); System.out.println(string); } From: Akhil Das [mailto:ak...@sigmoidanalytics.com<mailto:ak...@sigmoidanalytics.com>] Sent: Tuesday, July 28, 2015 1:52 PM To: Manohar Reddy Cc: user@spark.apache.org<mailto:user@spark.apache.org> Subject: Re: java.lang.ArrayIndexOutOfBoundsException: 0 on Yarn Client Put a try catch inside your code and inside the catch print out the length or the list itself which causes the ArrayIndexOutOfBounds. It might happen that some of your data is not proper. Thanks Best Regards On Mon, Jul 27, 2015 at 8:24 PM, Manohar753 <manohar.re...@happiestminds.com<mailto:manohar.re...@happiestminds.com>> wrote: Hi Team, can please some body help me out what am doing wrong to get the below exception while running my app on Yarn cluster with spark 1.4. Kafka stream am getting AND DOING foreachRDD and giving it to new thread for process.please find the below code snippet. JavaDStream<MessageAndMetadata> unionStreams = ReceiverLauncher.launch( jsc, props, numberOfReceivers, StorageLevel.MEMORY_ONLY()); unionStreams .foreachRDD(new Function2<JavaRDD<MessageAndMetadata>, Time, Void>() { @Override public Void call(JavaRDD<MessageAndMetadata> rdd, Time time) throws Exception { new ThreadParam(rdd).start(); return null; } }); ############################# public ThreadParam(JavaRDD<MessageAndMetadata> rdd) { this.rdd = rdd; // this.context=context; } public void run(){ final List<StructField> fields = new ArrayList<StructField>(); List<String> listvalues=new ArrayList<>(); final List<String> meta=new ArrayList<>(); JavaRDD<Row> rowrdd=rdd.map(new Function<MessageAndMetadata, Row>() { @Override public Row call(MessageAndMetadata arg0) throws Exception { String[] data=new String(arg0.getPayload()).split("\\|"); int i=0; List<StructField> fields = new ArrayList<StructField>(); List<String> listvalues=new ArrayList<>(); List<String> meta=new ArrayList<>(); for (String string : data) { if(i>3){ if(i%2==0){ fields.add(DataTypes.createStructField(string, DataTypes.StringType, true)); // System.out.println(splitarr[i]); }else{ listvalues.add(string); // System.out.println(splitarr[i]); } }else{ meta.add(string); } i++; }int size=listvalues.size(); return RowFactory.create(listvalues.get(25-25),listvalues.get(25-24),listvalues.get(25-23), listvalues.get(25-22),listvalues.get(25-21),listvalues.get(25-20), listvalues.get(25-19),listvalues.get(25-18),listvalues.get(25-17), listvalues.get(25-16),listvalues.get(25-15),listvalues.get(25-14), listvalues.get(25-13),listvalues.get(25-12),listvalues.get(25-11), listvalues.get(25-10),listvalues.get(25-9),listvalues.get(25-8), listvalues.get(25-7),listvalues.get(25-6),listvalues.get(25-5), listvalues.get(25-4),listvalues.get(25-3),listvalues.get(25-2),listvalues.get(25-1)); } }); SQLContext sqlContext = new SQLContext(rowrdd.context()); StructType schema = DataTypes.createStructType(fields); System.out.println("before creating schema"); DataFrame courseDf=sqlContext.createDataFrame(rowrdd, schema); courseDf.registerTempTable("course"); courseDf.show(); System.out.println("after creating schema"); ################################################ BELOW IS THE COMMAND TO RUN THIS AND XENT FOR THAT IS THE STACKTRACE eRROR MASTER=yarn-client /home/hadoop/spark/bin/spark-submit --class com.person.Consumer /mnt1/manohar/spark-load-from-db/targetpark-load-from-db-1.0-SNAPSHOT-jar-with-dependencies.jar ERROR IS AS 15/07/27 14:45:01 WARN scheduler.TaskSetManager: Lost task 0.0 in stage 4.0 (TID 72, ip-10-252-7-73.us-west-2.compute.internal): java.lang.ArrayIndexOutOfBoundsException: 0 at org.apache.spark.sql.catalyst.CatalystTypeConverters$.convertRowWithConverters(CatalystTypeConverters.scala:348) at org.apache.spark.sql.catalyst.CatalystTypeConverters$$anonfun$createToCatalystConverter$4.apply(CatalystTypeConverters.scala:180) at org.apache.spark.sql.SQLContext$$anonfun$9.apply(SQLContext.scala:488) at org.apache.spark.sql.SQLContext$$anonfun$9.apply(SQLContext.scala:488) at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) at scala.collection.Iterator$$anon$10.next(Iterator.scala:312) at scala.collection.Iterator$class.foreach(Iterator.scala:727) at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47) at scala.collection.TraversableOnce$class.to<http://class.to>(TraversableOnce.scala:273) at scala.collection.AbstractIterator.to<http://scala.collection.AbstractIterator.to>(Iterator.scala:1157) at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157) at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) at scala.collection.AbstractIterator.toArray(Iterator.scala:1157) at org.apache.spark.sql.execution.SparkPlan$$anonfun$3.apply(SparkPlan.scala:143) at org.apache.spark.sql.execution.SparkPlan$$anonfun$3.apply(SparkPlan.scala:143) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1765) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1765) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63) at org.apache.spark.scheduler.Task.run(Task.scala:70) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) Thanks In advance for the reply Team Thanks, Manohar -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/java-lang-ArrayIndexOutOfBoundsException-0-on-Yarn-Client-tp24009.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org<mailto:user-unsubscr...@spark.apache.org> For additional commands, e-mail: user-h...@spark.apache.org<mailto:user-h...@spark.apache.org> ________________________________ Happiest Minds Disclaimer This message is for the sole use of the intended recipient(s) and may contain confidential, proprietary or legally privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the original intended recipient of the message, please contact the sender by reply email and destroy all copies of the original message. Happiest Minds Technologies <http://www.happiestminds.com> ________________________________ ________________________________ Happiest Minds Disclaimer This message is for the sole use of the intended recipient(s) and may contain confidential, proprietary or legally privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the original intended recipient of the message, please contact the sender by reply email and destroy all copies of the original message. Happiest Minds Technologies <http://www.happiestminds.com> ________________________________ ________________________________ Happiest Minds Disclaimer This message is for the sole use of the intended recipient(s) and may contain confidential, proprietary or legally privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the original intended recipient of the message, please contact the sender by reply email and destroy all copies of the original message. Happiest Minds Technologies <http://www.happiestminds.com> ________________________________
