Hi All,
I am using spark for text analysis. I have a source file that has few thousand
sentences and a dataset of tens of millions of statements. I want to compare
each statement from the sourceFile with each statement from the dataset and
generate a score. I am having following problem. I would really appreciate help.
Here is what I do within spark-shell
// Source file with few thousand sentences val srcFile =
sc.textFile("hdfs://serverip/data/dummy/src.txt");
// Dataset with tens of millions of statements.
val destFile = sc.textFile("hdfs://serverip/data/dummy/sample.txt");
// Initialize the score variable.
val score = new mypackage.Score()
// Generate score.
score.calculateScore(srcFile, destFile);
Here is my snippet from my scala class (Score.scala)
def calculateScore (sourcerdd: RDD[String], destrdd: RDD[String]) { for
(sentence <- sourcerdd) { println("Source String is: " + sentence +
"Data Type is: " + sentence.getClass.getSimpleName)
printScoreCanndedString(sentence, destrdd); }
} def printScoreCanndedString(sourceStr: String,rdd: RDD[String]) :
RDD[Double] = { // Do the analysis here. }
The print statement displays the data correctly along with data type as String
as expected. However, I get the following error message when it tries to
execute printScoreCanndedString method. Any help with this will be great.
14/06/23 16:45:04 WARN NativeCodeLoader: Unable to load native-hadoop library
for your platform... using builtin-java classes where applicable14/06/23
16:45:04 WARN LoadSnappy: Snappy native library not loaded14/06/23 16:45:04
INFO FileInputFormat: Total input paths to process : 114/06/23 16:45:04 INFO
SparkContext: Starting job: foreach at calculateScore.scala:5114/06/23 16:45:04
INFO DAGScheduler: Got job 0 (foreach at CalculateScore.scala:51) with 2 output
partitions (allowLocal=false)14/06/23 16:45:04 INFO DAGScheduler: Final stage:
Stage 0(foreach at CalculateScore.scala:51)14/06/23 16:45:04 INFO DAGScheduler:
Parents of final stage: List()14/06/23 16:45:04 INFO DAGScheduler: Missing
parents: List()14/06/23 16:45:04 INFO DAGScheduler: Submitting Stage 0
(MappedRDD[1] at textFile at <console>:12), which has no missing
parents14/06/23 16:45:04 INFO DAGScheduler: Failed to run foreach at
CalculateScore.scala:51org.apache.spark.SparkException: Job aborted due to
stage failure: Task not serializable: java.io.NotSerializableException:
approxstrmatch.CalculateScore at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1033)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1017)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1015)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1015) at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$submitMissingTasks(DAGScheduler.scala:770)
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$submitStage(DAGScheduler.scala:713)
at
org.apache.spark.scheduler.DAGScheduler.handleJobSubmitted(DAGScheduler.scala:697)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1176)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498) at
akka.actor.ActorCell.invoke(ActorCell.scala:456) at
akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237) at
akka.dispatch.Mailbox.run(Mailbox.scala:219) at
akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at
scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at
scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) at
scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
