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> 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] > *Sent:* Tuesday, July 28, 2015 2:30 PM > > *To:* Manohar Reddy > *Cc:* 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> 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] > *Sent:* Tuesday, July 28, 2015 1:52 PM > *To:* Manohar Reddy > *Cc:* 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> 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$class.to(TraversableOnce.scala:273) > at scala.collection.AbstractIterator.to(Iterator.scala:1157) > at > scala.collection.TraversableOnce$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 > For additional commands, e-mail: 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> > > ------------------------------ >
