Re: Problem with File Streams

Leonidas Fegaras Sat, 17 Jan 2015 07:41:17 -0800

My key/value classes are custom serializable classes. It looks like abug. So I filed it on JIRA as SPARK-5297

Thanks
Leonidas

On 01/17/2015 03:07 AM, Akhil Das wrote:

Try:


    JavaPairDStream<String, String> foo = ssc.<String, String,
    SequenceFileInputFormat>fileStream("/sigmoid/foo");


Thanks
Best Regards

On Sat, Jan 17, 2015 at 4:24 AM, Leonidas Fegaras <fega...@cse.uta.edu<mailto:fega...@cse.uta.edu>> wrote:


    Dear Spark users,
    I have a problem using File Streams in Java on Spark 1.2.0. I can
    process hadoop files in local mode using:

    spark_context.newAPIHadoopFile(path,F.class,K.class,V.class,conf)

    where F extends
    org.apache.hadoop.mapreduce.lib.input.FileInputFormat<K,V>. But
    when I try to to do the same thing in Spark Streaming using:

    stream_context.<K,V,F>fileStream(directory)
    .foreachRDD(new Function<JavaPairRDD<K,V>,Void>() {
                        public Void call ( JavaPairRDD<K,V> rdd )
    throws Exception {
                           ...
                        }
                    });

    and when I drop a new text file in the directory I get the
    following error:

    15/01/16 16:29:43 ERROR scheduler.JobScheduler: Error generating
    jobs for time 1421447383000 ms
    java.lang.ClassCastException: java.lang.Object cannot be cast to
    org.apache.hadoop.mapreduce.InputFormat
        at
    org.apache.spark.rdd.NewHadoopRDD.getPartitions(NewHadoopRDD.scala:91)
        at
    org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205)
        at
    org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:203)
        at scala.Option.getOrElse(Option.scala:120)
        at org.apache.spark.rdd.RDD.partitions(RDD.scala:203)
        at
    
org.apache.spark.streaming.dstream.FileInputDStream$$anonfun$3.apply(FileInputDStream.scala:236)
        at
    
org.apache.spark.streaming.dstream.FileInputDStream$$anonfun$3.apply(FileInputDStream.scala:234)
        at
    
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
        at
    
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
        at
    
scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
        at
    scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:34)
        at
    scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
        at scala.collection.AbstractTraversable.map(Traversable.scala:105)
        at org.apache.spark.streaming.dstream.FileInputDStream.org
    
<http://org.apache.spark.streaming.dstream.FileInputDStream.org>$apache$spark$streaming$dstream$FileInputDStream$$filesToRDD(FileInputDStream.scala:234)
        at
    
org.apache.spark.streaming.dstream.FileInputDStream.compute(FileInputDStream.scala:128)
        at
    
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:296)
        at
    
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:288)
        at scala.Option.orElse(Option.scala:257)

    Same error when I process hadoop sequence files. I am sure my
    input format F extends org.apache.hadoop.mapreduce.InputFormat.
    Any ideas?
    Thank you
    Leonidas Fegaras

Re: Problem with File Streams

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