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https://issues.apache.org/jira/browse/SPARK-5066?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-5066.
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Resolution: Not a Problem
> Can not get all key that has same hashcode when reading key ordered from
> different Streaming.
> -----------------------------------------------------------------------------------------------
>
> Key: SPARK-5066
> URL: https://issues.apache.org/jira/browse/SPARK-5066
> Project: Spark
> Issue Type: Bug
> Components: Streaming
> Affects Versions: 1.2.0
> Reporter: DoingDone9
> Priority: Critical
>
> when spill is open, data ordered by hashCode will be spilled to disk. We need
> get all key that has the same hashCode from different tmp files when merge
> value, but it just read the key that has the minHashCode that in a tmp file,
> we can not read all key.
> Example :
> If file1 has [k1, k2, k3], file2 has [k4,k5,k1].
> And hashcode of k4 < hashcode of k5 < hashcode of k1 < hashcode of k2 <
> hashcode of k3
> we just read k1 from file1 and k4 from file2. Can not read all k1.
> Code :
> private val inputStreams = (Seq(sortedMap) ++ spilledMaps).map(it =>
> it.buffered)
> inputStreams.foreach { it =>
> val kcPairs = new ArrayBuffer[(K, C)]
> readNextHashCode(it, kcPairs)
> if (kcPairs.length > 0) {
> mergeHeap.enqueue(new StreamBuffer(it, kcPairs))
> }
> }
> private def readNextHashCode(it: BufferedIterator[(K, C)], buf:
> ArrayBuffer[(K, C)]): Unit = {
> if (it.hasNext) {
> var kc = it.next()
> buf += kc
> val minHash = hashKey(kc)
> while (it.hasNext && it.head._1.hashCode() == minHash) {
> kc = it.next()
> buf += kc
> }
> }
> }
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