Hi all, I am using Spark Streaming API (I'm on version 2.10 for spark and streaming), and I am running into a function serialization issue that I do not run into when using Spark in batch (non-streaming) mode.
If I wrote code like this: def run(): Unit = { val newStream = stream.map(x => { x + " foo " }) // ... } everything works fine.. But if I try it like this: def transform(x: String): String = { x + " foo " } def run(): Unit = { val newStream = stream.map(transform) // ... } ..the program fails being unable to serialize the closure (which when passing a method to a function that expects a closure, it should be auto-converted to my understanding). However it works fine if I declare a closure inside run() and use that like so: val transform = (x: String) => { x + " foo " } If it's declared outside of run(), however, it will also crash. This is an example stack trace of the error I'm running into. This can be a hassle to debug so I hope I wouldn't have to get around this by having to use a local closure/function every time. Thanks for any help in advance. org.apache.spark.SparkException: Task not serializable at org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:304) at org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:294) at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:122) at org.apache.spark.SparkContext.clean(SparkContext.scala:2030) at org.apache.spark.streaming.dstream.DStream$$anonfun$map$1.apply(DStream.scala:528) at org.apache.spark.streaming.dstream.DStream$$anonfun$map$1.apply(DStream.scala:528) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108) at org.apache.spark.SparkContext.withScope(SparkContext.scala:709) at org.apache.spark.streaming.StreamingContext.withScope(StreamingContext.scala:266) at org.apache.spark.streaming.dstream.DStream.map(DStream.scala:527) at com.my.cool.app.MyClass.run(MyClass.scala:90) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source) at java.lang.reflect.Method.invoke(Unknown Source) at org.apache.spark.deploy.worker.DriverWrapper$.main(DriverWrapper.scala:58) at org.apache.spark.deploy.worker.DriverWrapper.main(DriverWrapper.scala) Caused by: java.io.NotSerializableException: Graph is unexpectedly null when DStream is being serialized. Serialization stack: at org.apache.spark.serializer.SerializationDebugger$.improveException(SerializationDebugger.scala:40) at org.apache.spark.serializer.JavaSerializationStream.writeObject(JavaSerializer.scala:47) at org.apache.spark.serializer.JavaSerializerInstance.serialize(JavaSerializer.scala:84) at org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:301) ... 20 more -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-Streaming-NotSerializableException-Methods-Closures-tp26672.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