Github user JoshRosen commented on a diff in the pull request:

    https://github.com/apache/spark/pull/6423#discussion_r31371019
  
    --- Diff: 
core/src/main/scala/org/apache/spark/shuffle/hash/HashShuffleReader.scala ---
    @@ -33,11 +33,34 @@ private[spark] class HashShuffleReader[K, C](
         "Hash shuffle currently only supports fetching one partition")
     
       private val dep = handle.dependency
    +  private val blockManager = SparkEnv.get.blockManager
     
       /** Read the combined key-values for this reduce task */
       override def read(): Iterator[Product2[K, C]] = {
    +    val blockStreams = BlockStoreShuffleFetcher.fetchBlockStreams(
    +      handle.shuffleId,  startPartition, context)
    +
    +    // Wrap the streams for compression based on configuration
    +    val wrappedStreams = blockStreams.map { case (blockId, inputStream) =>
    +      blockManager.wrapForCompression(blockId, inputStream)
    +    }
    +
         val ser = Serializer.getSerializer(dep.serializer)
    -    val iter = BlockStoreShuffleFetcher.fetch(handle.shuffleId, 
startPartition, context, ser)
    +    val serializerInstance = ser.newInstance()
    +
    +    // Create a key/value iterator for each stream
    +    val recordIterator = wrappedStreams.flatMap { wrappedStream =>
    --- End diff --
    
    Maybe add an explicit type annotation here?  I think that we might be able 
to cast this to an iterator of `[Product2[K, C]]` in order to avoid the 
`Iterator[Nothing]` cast on line 63.


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---

---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]

Reply via email to