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:[email protected]]
Sent: Tuesday, July 28, 2015 2:30 PM
To: Manohar Reddy
Cc: [email protected]
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
<[email protected]<mailto:[email protected]>> 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:[email protected]<mailto:[email protected]>]
Sent: Tuesday, July 28, 2015 1:52 PM
To: Manohar Reddy
Cc: [email protected]<mailto:[email protected]>
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
<[email protected]<mailto:[email protected]>> 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
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