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https://issues.apache.org/jira/browse/SPARK-22957?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-22957.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 20152
[https://github.com/apache/spark/pull/20152]
> ApproxQuantile breaks if the number of rows exceeds MaxInt
> ----------------------------------------------------------
>
> Key: SPARK-22957
> URL: https://issues.apache.org/jira/browse/SPARK-22957
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.2.1
> Reporter: Juliusz Sompolski
> Assignee: Juliusz Sompolski
> Fix For: 2.3.0
>
>
> ApproxQuantile overflows when number of rows exceeds 2.147B (max int32).
> If you run ApproxQuantile on a dataframe with 3B rows of 1 to 3B and ask it
> for 1/6 quantiles, it should return [0.5B, 1B, 1.5B, 2B, 2.5B, 3B]. However,
> in the [implementation of
> ApproxQuantile|https://github.com/apache/spark/blob/v2.2.0/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/QuantileSummaries.scala#L195],
> it calls .toInt on the target rank, which overflows at 2.147B.
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