[GitHub] [spark] xiaoa6435 commented on a diff in pull request #42431: [WIP][SPARK-42905][MLLIB] fix spearman correlation incorrect and inconsistent results when data has huge amount of ties

["xiaoa6435 (via GitHub)" <gi...@apache.org>]

xiaoa6435 commented on code in PR #42431:
URL: https://github.com/apache/spark/pull/42431#discussion_r1290839233


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mllib/src/main/scala/org/apache/spark/mllib/stat/correlation/SpearmanCorrelation.scala:
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@@ -65,8 +65,8 @@ private[stat] object SpearmanCorrelation extends Correlation with Logging {
         output
       }
       iter.flatMap { case (((j, v), uid), rank) =>
-        // If we see a new value or cachedUids is too big, we flush ids with their average rank.
-        if (j != preCol || v != preVal || cachedUids.size >= 10000000) {

Review Comment:
   cachedUids.size <= 10000000 can't prevent oom, sortbykey will pull all ties values to a single partitions



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