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https://issues.apache.org/jira/browse/SPARK-3098?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14102279#comment-14102279
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Guoqiang Li commented on SPARK-3098:
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this issue caused by the code:
[BlockFetcherIterator.scala#L221|https://github.com/apache/spark/blob/v1.0.1/core/src/main/scala/org/apache/spark/storage/BlockFetcherIterator.scala#L221]
{noformat}fetchRequests ++= Utils.randomize(remoteRequests){noformat}
<=>[ShuffledRDD.scala#L65|https://github.com/apache/spark/blob/v1.0.1/core/src/main/scala/org/apache/spark/rdd/ShuffledRDD.scala#L65]{noformat}SparkEnv.get.shuffleFetcher.fetch[P](shuffledId,
split.index, context, ser){noformat}
<=>
[PairRDDFunctions.scala#L100|https://github.com/apache/spark/blob/v1.0.1/core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala#L100]
{noformat}
val partitioned = new ShuffledRDD[K, C, (K, C)](combined, partitioner)
.setSerializer(serializer)
partitioned.mapPartitionsWithContext((context, iter) => {
new InterruptibleIterator(context,
aggregator.combineCombinersByKey(iter, context))
}, preservesPartitioning = true)
{noformat}
<=>
[PairRDDFunctions.scala#L163|https://github.com/apache/spark/blob/v1.0.1/core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala#L163]
{noformat}
def reduceByKey(partitioner: Partitioner, func: (V, V) => V): RDD[(K, V)] = {
combineByKey[V]((v: V) => v, func, func, partitioner)
}
{noformat}
<=>
[RDD.scala#L288|https://github.com/apache/spark/blob/v1.0.1/core/src/main/scala/org/apache/spark/rdd/RDD.scala#L288]
{noformat}
def distinct(numPartitions: Int)(implicit ord: Ordering[T] = null): RDD[T] =
map(x => (x, null)).reduceByKey((x, y) => x, numPartitions).map(_._1)
{noformat}
> In some cases, operation zipWithIndex get a wrong results
> ----------------------------------------------------------
>
> Key: SPARK-3098
> URL: https://issues.apache.org/jira/browse/SPARK-3098
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.0.1
> Reporter: Guoqiang Li
> Priority: Critical
>
> The reproduce code:
> {code}
> val c = sc.parallelize(1 to 7899).flatMap { i =>
> (1 to 10000).toSeq.map(p => i * 6000 + p)
> }.distinct().zipWithIndex()
> c.join(c).filter(t => t._2._1 != t._2._2).take(3)
> {code}
> =>
> {code}
> Array[(Int, (Long, Long))] = Array((1732608,(11,12)), (45515264,(12,13)),
> (36579712,(13,14)))
> {code}
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