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https://issues.apache.org/jira/browse/FLINK-3605?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Palumbo updated FLINK-3605:
----------------------------------
Labels: mahout (was: )
> DataSet.output(HadoopOutput) always expects a LongWritable as a key and
> throws an exception when supplied with other Writable Key Types
> ---------------------------------------------------------------------------------------------------------------------------------------
>
> Key: FLINK-3605
> URL: https://issues.apache.org/jira/browse/FLINK-3605
> Project: Flink
> Issue Type: Bug
> Components: DataSet API, Scala API
> Affects Versions: 1.0.0
> Reporter: Andrew Palumbo
> Labels: mahout
>
> When trying to output a {{DataSet}} as a Sequence file, using the Scala API,
> an Exception is thrown when anything other than a {{LongWritable}} is
> supplied as a key. The following simple unit test demonstrates this:
> {code}
> test("Simple DataSet with IntWritable Key and Value") {
> val path = TmpDir + "flinkOutput"
> implicit val typeInfo = createTypeInformation[(Int,Int)]
> val ds = env.fromElements[(Int, Int)]((1,2), (3,4), (5,6), (7,8))
> val writableDataset : DataSet[(IntWritable, IntWritable)] =
> ds.map( tuple =>
> (new IntWritable(tuple._1.asInstanceOf[Int]),
> new IntWritable(tuple._2.asInstanceOf[Int])) )
> val job: Job = new Job()
> // setup sink for IntWritable
> val sequenceFormat =
> new SequenceFileOutputFormat[IntWritable, IntWritable]
> val hadoopOutput =
> new HadoopOutputFormat[IntWritable, IntWritable](sequenceFormat, job)
> FileOutputFormat.setOutputPath(job, new org.apache.hadoop.fs.Path(path))
> writableDataset.output(hadoopOutput)
> env.execute(s"dfsWrite($path)")
> }
> {code}
> The above code will throw the following exception:
> {code}
> {...}
> 1 [DataSink
> (org.apache.flink.api.scala.hadoop.mapreduce.HadoopOutputFormat@4d518b32)
> (1/1)] ERROR org.apache.flink.runtime.operators.DataSinkTask - Error in user
> code: wrong key class: org.apache.hadoop.io.IntWritable is not class
> org.apache.hadoop.io.LongWritable: DataSink
> (org.apache.flink.api.scala.hadoop.mapreduce.HadoopOutputFormat@4d518b32)
> (1/1)
> java.io.IOException: wrong key class: org.apache.hadoop.io.IntWritable is not
> class org.apache.hadoop.io.LongWritable
> at
> org.apache.hadoop.io.SequenceFile$Writer.append(SequenceFile.java:1305)
> at
> org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat$1.write(SequenceFileOutputFormat.java:83)
> at
> org.apache.flink.api.scala.hadoop.mapreduce.HadoopOutputFormat.writeRecord(HadoopOutputFormat.scala:30)
> at
> org.apache.flink.api.scala.hadoop.mapreduce.HadoopOutputFormat.writeRecord(HadoopOutputFormat.scala:26)
> at
> org.apache.flink.runtime.operators.DataSinkTask.invoke(DataSinkTask.java:200)
> at org.apache.flink.runtime.taskmanager.Task.run(Task.java:559)
> at java.lang.Thread.run(Thread.java:745)
> {code}
> When trying to write a {{DataSet}} to a Hadoop Sequence File, the API seems
> to always expect a Key of type {{LongWritable}} and a Value of Type {{Text}}.
> Similar exceptions are thrown when other {{Writables}} are used as keys.
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