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https://issues.apache.org/jira/browse/SPARK-22957?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Wenchen Fan resolved SPARK-22957.
---------------------------------
       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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