Hello, I'm using Apache Spark Streaming 1.2.0 and trying to define a file filter for file names when creating an InputDStream <https://spark.apache.org/docs/1.2.0/api/java/org/apache/spark/streaming/dstream/InputDStream.html> by invoking the fileStream <https://spark.apache.org/docs/1.2.0/api/java/org/apache/spark/streaming/StreamingContext.html#fileStream%28java.lang.String,%20scala.Function1,%20boolean,%20scala.reflect.ClassTag,%20scala.reflect.ClassTag,%20scala.reflect.ClassTag%29> method. My code is working perfectly fine when I don't use a file filter, e.g. by invoking the other fileStream <https://spark.apache.org/docs/1.2.0/api/java/org/apache/spark/streaming/StreamingContext.html#fileStream%28java.lang.String,%20scala.reflect.ClassTag,%20scala.reflect.ClassTag,%20scala.reflect.ClassTag%29> method (described here <https://spark.apache.org/docs/1.2.0/api/java/org/apache/spark/streaming/StreamingContext.html#fileStream%28java.lang.String,%20scala.reflect.ClassTag,%20scala.reflect.ClassTag,%20scala.reflect.ClassTag%29>: https://spark.apache.org/docs/1.2.0/api/java/org/apache/spark/streaming/StreamingContext.html#fileStream%28java.lang.String,%20scala.reflect.ClassTag,%20scala.reflect.ClassTag,%20scala.reflect.ClassTag%29 ).
According to the documentation of *fileStream* method, I can pass it scala.Function1<org.apache.hadoop.fs.Path,Object> filter But so far, I could not create a fileFilter. My initial attempts have been 1- Tried to implement it as: Function1<Path, Object> fileFilter = new Function1<Path, Object>() { @Override public Object apply(Path v1) { return true; } @Override public <A> Function1<A, Object> compose(Function1<A, Path> g) { return Function1$class.compose(this, g); } @Override public <A> Function1<Path, A> andThen(Function1<Object, A> g) { return Function1$class.andThen(this, g); } }; But apparently my implementation of andThen is wrong, and I couldn't understand how I should implement it. It complains that the anonymous function: is not abstract and does not override abstract method <A>andThen$mcVJ$sp(scala.Function1<scala.runtime.BoxedUnit,A>) in scala.Function1 2- Tried to implement it as: Function1<Path, Object> fileFilter = new AbstractFunction1<Path, Object>() { @Override public Object apply(Path v1) { return true; } }; This one compiles, but when I run it I get an exception: 2015-02-02 13:42:50 ERROR OneForOneStrategy:66 - myModule$1 java.io.NotSerializableException: myModule$1 at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1184) at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548) at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509) at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432) at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178) at java.io.ObjectOutputStream.writeArray(ObjectOutputStream.java:1378) at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1174) at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548) at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509) at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432) at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178) at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548) at java.io.ObjectOutputStream.defaultWriteObject(ObjectOutputStream.java:441) at org.apache.spark.streaming.DStreamGraph$$anonfun$writeObject$1.apply$mcV$sp(DStreamGraph.scala:169) at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:985) at org.apache.spark.streaming.DStreamGraph.writeObject(DStreamGraph.scala:164) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:483) at java.io.ObjectStreamClass.invokeWriteObject(ObjectStreamClass.java:988) at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1496) at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432) at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178) at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1548) at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1509) at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1432) at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1178) at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:348) at org.apache.spark.streaming.CheckpointWriter.write(Checkpoint.scala:184) at org.apache.spark.streaming.scheduler.JobGenerator.doCheckpoint(JobGenerator.scala:263) at org.apache.spark.streaming.scheduler.JobGenerator.org$apache$spark$streaming$scheduler$JobGenerator$$processEvent(JobGenerator.scala:167) at org.apache.spark.streaming.scheduler.JobGenerator$$anonfun$start$1$$anon$1$$anonfun$receive$1.applyOrElse(JobGenerator.scala:76) at akka.actor.Actor$class.aroundReceive(Actor.scala:465) at org.apache.spark.streaming.scheduler.JobGenerator$$anonfun$start$1$$anon$1.aroundReceive(JobGenerator.scala:74) at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516) at akka.actor.ActorCell.invoke(ActorCell.scala:487) at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238) at akka.dispatch.Mailbox.run(Mailbox.scala:220) at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:393) 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) Any ideas how I can implement a *fileFilter* so that I can pass it fileStream method, so that I can make Spark Streaming process only the file name patterns I want? -- Emre Sevinç