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

    https://github.com/apache/spark/pull/5680#discussion_r29453720
  
    --- Diff: 
streaming/src/main/scala/org/apache/spark/streaming/ui/StreamingJobProgressListener.scala
 ---
    @@ -70,9 +70,8 @@ private[streaming] class 
StreamingJobProgressListener(ssc: StreamingContext)
         runningBatchInfos(batchStarted.batchInfo.batchTime) = 
batchStarted.batchInfo
         waitingBatchInfos.remove(batchStarted.batchInfo.batchTime)
     
    -    batchStarted.batchInfo.receivedBlockInfo.foreach { case (_, infos) =>
    -      totalReceivedRecords += infos.map(_.numRecords).sum
    -    }
    +    // TODO. this should be fixed when input stream is not receiver based 
stream.
    +    totalReceivedRecords += 
batchStarted.batchInfo.streamIdToNumRecords.values.sum
    --- End diff --
    
    Yes we need to. Receiver or not, all the data has been received by the
    system.
    On Apr 30, 2015 1:10 AM, "Saisai Shao" <[email protected]> wrote:
    
    > In
    > 
streaming/src/main/scala/org/apache/spark/streaming/ui/StreamingJobProgressListener.scala
    > <https://github.com/apache/spark/pull/5680#discussion_r29410293>:
    >
    > > @@ -70,9 +70,8 @@ private[streaming] class 
StreamingJobProgressListener(ssc: StreamingContext)
    > >      runningBatchInfos(batchStarted.batchInfo.batchTime) = 
batchStarted.batchInfo
    > >      waitingBatchInfos.remove(batchStarted.batchInfo.batchTime)
    > >
    > > -    batchStarted.batchInfo.receivedBlockInfo.foreach { case (_, infos) 
=>
    > > -      totalReceivedRecords += infos.map(_.numRecords).sum
    > > -    }
    > > +    // TODO. this should be fixed when input stream is not receiver 
based stream.
    > > +    totalReceivedRecords += 
batchStarted.batchInfo.streamIdToNumRecords.values.sum
    >
    > Yes, will do. Also have one concern, if the batchStarted is not a
    > receiver-based batchInfo, so do we need to count this records into
    > totalReceivedRecords when batch is just started.
    >
    > —
    > Reply to this email directly or view it on GitHub
    > <https://github.com/apache/spark/pull/5680/files#r29410293>.
    >



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