"java.io.IOException: Class not found" on long running Streaming application

Question

I am getting the exception below on a long running Spark Streaming application. The exception could occur after a few minutes, but it may also may not happen for days. This is with pretty consistent input data.

I have seen this Jira ticket but I don't think it is the same issue. That is java.lang.IllegalArgumentException and this is java.io.IOException: Class not found.

My application is streaming data and writing to Parquet using Spark SQL.

I am using Spark 1.5.2. Any ideas?

28-01-2016 09:36:00 ERROR JobScheduler:96 - Error generating jobs for time 1453973760000 ms
java.io.IOException: Class not found
        at com.esotericsoftware.reflectasm.shaded.org.objectweb.asm.ClassReader.a(Unknown Source)
        at com.esotericsoftware.reflectasm.shaded.org.objectweb.asm.ClassReader.<init>(Unknown Source)
        at org.apache.spark.util.ClosureCleaner$.getClassReader(ClosureCleaner.scala:40)
        at org.apache.spark.util.ClosureCleaner$.getInnerClosureClasses(ClosureCleaner.scala:81)
        at org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:187)
        at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:122)
        at org.apache.spark.SparkContext.clean(SparkContext.scala:2032)
        at org.apache.spark.rdd.RDD$$anonfun$map$1.apply(RDD.scala:318)
        at org.apache.spark.rdd.RDD$$anonfun$map$1.apply(RDD.scala:317)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
        at org.apache.spark.rdd.RDD.withScope(RDD.scala:310)
        at org.apache.spark.rdd.RDD.map(RDD.scala:317)
        at org.apache.spark.streaming.dstream.MappedDStream$$anonfun$compute$1.apply(MappedDStream.scala:35)
        at org.apache.spark.streaming.dstream.MappedDStream$$anonfun$compute$1.apply(MappedDStream.scala:35)
        at scala.Option.map(Option.scala:145)
        at org.apache.spark.streaming.dstream.MappedDStream.compute(MappedDStream.scala:35)
        at org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:350)
        at org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:350)
        at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57)
        at org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:349)
        at org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:349)
        at org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:399)
        at org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:344)
        at org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:342)
        at scala.Option.orElse(Option.scala:257)
        at org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:339)
        at org.apache.spark.streaming.dstream.FilteredDStream.compute(FilteredDStream.scala:35)
        at org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:350)
        at org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:350)
        at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57)
        at org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:349)
        at org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:349)
        at org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:399)
        at org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:344)
        at org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:342)
        at scala.Option.orElse(Option.scala:257)
        at org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:339)
        at org.apache.spark.streaming.dstream.MappedDStream.compute(MappedDStream.scala:35)
        at org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:350)
        at org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:350)
        at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57)
        at org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:349)
        at org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:349)
        at org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:399)
        at org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:344)
        at org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:342)
        at scala.Option.orElse(Option.scala:257)
        at org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:339)
        at org.apache.spark.streaming.dstream.ForEachDStream.generateJob(ForEachDStream.scala:38)
        at org.apache.spark.streaming.DStreamGraph$$anonfun$1.apply(DStreamGraph.scala:120)
        at org.apache.spark.streaming.DStreamGraph$$anonfun$1.apply(DStreamGraph.scala:120)
        at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
        at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251)
        at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
        at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
        at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:251)
        at scala.collection.AbstractTraversable.flatMap(Traversable.scala:105)
        at org.apache.spark.streaming.DStreamGraph.generateJobs(DStreamGraph.scala:120)
        at org.apache.spark.streaming.scheduler.JobGenerator$$anonfun$2.apply(JobGenerator.scala:247)
        at org.apache.spark.streaming.scheduler.JobGenerator$$anonfun$2.apply(JobGenerator.scala:245)
        at scala.util.Try$.apply(Try.scala:161)
        at org.apache.spark.streaming.scheduler.JobGenerator.generateJobs(JobGenerator.scala:245)
        at org.apache.spark.streaming.scheduler.JobGenerator.org$apache$spark$streaming$scheduler$JobGenerator$$processEvent(JobGenerator.scala:181)
        at org.apache.spark.streaming.scheduler.JobGenerator$$anon$1.onReceive(JobGenerator.scala:87)
        at org.apache.spark.streaming.scheduler.JobGenerator$$anon$1.onReceive(JobGenerator.scala:86)
        at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)

Answer 1

I am going to post an answer to my own question. I think this happens when you start a streaming app and then remove or replace the jar file which was used in the spark-submit. Most likely the running JVM Spark Driver application tries to load some classes from a jar file that is no longer there, or has been replaced.

I don't know this to be true but I see some interest in this question so I think it is good to post my current thinking.