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From gvramana <>
Subject [GitHub] carbondata pull request #1002: [CARBONDATA-1136] Fix compaction bug for the ...
Date Thu, 08 Jun 2017 15:52:53 GMT
Github user gvramana commented on a diff in the pull request:
    --- Diff: integration/spark-common/src/main/scala/org/apache/carbondata/spark/rdd/CarbonMergerRDD.scala
    @@ -405,11 +411,16 @@ class CarbonMergerRDD[K, V](
               NodeInfo(splitsPerNode.getTaskId, splitsPerNode.getCarbonInputSplitList.size()))
             if (blockletCount != 0) {
    +          val taskInfo = splitInfo.asInstanceOf[CarbonInputSplitTaskInfo]
               val multiBlockSplit = new CarbonMultiBlockSplit(absoluteTableIdentifier,
    -            splitInfo.asInstanceOf[CarbonInputSplitTaskInfo].getCarbonInputSplitList,
    +            taskInfo.getCarbonInputSplitList,
    -          result.add(new CarbonSparkPartition(id, partitionNo, multiBlockSplit))
    -          partitionNo += 1
    +          if (isPartitionTable) {
    --- End diff --
    This handling will not be sufficient, 
    When number of partitions(Example:100) is not equal to number of nodes(Example:5) , getPartitions
will divide total blocks among available nodes. Then each node will get more than one taskno/partitionNo
to handle.
    Compute function in executor just merges all the given btrees(segid+taskid) into one task.
So multiple taskids/partitions will be merged to one. This disturbs partition mapping.

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