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Posted to user@spark.apache.org by mayankshete <ma...@yash.com> on 2016/06/01 07:37:08 UTC
Spark Twitter Stream throws Null Pointer Exception
Hello Team,
Can anyone tell why the below code is throwing Null Pointer Execption in
yarn-client mode whereas running on local mode.
/ val filters = args.takeRight(0)
val sparkConf = new SparkConf().setAppName("TwitterAnalyzer")
val ssc = new StreamingContext(sparkConf, Seconds(2))
val stream = TwitterUtils.createStream(ssc, None, filters)
val training = ssc.textFileStream("/user/hadoop/Training")
val tf = new HashingTF(numFeatures = 140)
val text = stream.filter(x => x != null ).filter(x => x.getLang() == "en"
).map( x => x.getText).filter(tweet => tweet != null).map(tweet =>
tf.transform(tweet.split(" ")))/
Here is the stacktrace of the error ( Program is the user class ) :
java.lang.NullPointerException
at com.Program$$anonfun$5.apply(Program.scala:40)
at com.Program$$anonfun$5.apply(Program.scala:40)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:312)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at
scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
at
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
at
scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
at
scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
at scala.collection.AbstractIterator.to(Iterator.scala:1157)
at
scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
at
scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
at
org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$28.apply(RDD.scala:1328)
at
org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$28.apply(RDD.scala:1328)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1858)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1858)
at
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
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Re: Spark Twitter Stream throws Null Pointer Exception
Posted by Mich Talebzadeh <mi...@gmail.com>.
have you checked yarn errorlogs? resourcemanager and nodemanager logs?
what do they say.
It is possible that in the cluster mode you have not set up /tmp
directories properly.
Has anything else working in yarn-client mode?
HTH
Dr Mich Talebzadeh
LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
<https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
http://talebzadehmich.wordpress.com
On 1 June 2016 at 08:37, mayankshete <ma...@yash.com> wrote:
> Hello Team,
>
> Can anyone tell why the below code is throwing Null Pointer Execption in
> yarn-client mode whereas running on local mode.
>
> / val filters = args.takeRight(0)
> val sparkConf = new SparkConf().setAppName("TwitterAnalyzer")
> val ssc = new StreamingContext(sparkConf, Seconds(2))
> val stream = TwitterUtils.createStream(ssc, None, filters)
> val training = ssc.textFileStream("/user/hadoop/Training")
> val tf = new HashingTF(numFeatures = 140)
> val text = stream.filter(x => x != null ).filter(x => x.getLang() == "en"
> ).map( x => x.getText).filter(tweet => tweet != null).map(tweet =>
> tf.transform(tweet.split(" ")))/
>
> Here is the stacktrace of the error ( Program is the user class ) :
>
> java.lang.NullPointerException
> at com.Program$$anonfun$5.apply(Program.scala:40)
> at com.Program$$anonfun$5.apply(Program.scala:40)
> at scala.collection.Iterator$$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.rdd.RDD$$anonfun$take$1$$anonfun$28.apply(RDD.scala:1328)
> at
> org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$28.apply(RDD.scala:1328)
> at
>
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1858)
> at
>
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1858)
> at
> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
> at org.apache.spark.scheduler.Task.run(Task.scala:89)
> at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
> at
>
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
>
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
>
>
>
>
> --
> View this message in context:
> http://apache-spark-user-list.1001560.n3.nabble.com/Spark-Twitter-Stream-throws-Null-Pointer-Exception-tp27060.html
> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>
> ---------------------------------------------------------------------
> To unsubscribe, e-mail: user-unsubscribe@spark.apache.org
> For additional commands, e-mail: user-help@spark.apache.org
>
>