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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/01/04 13:26:00 UTC
[jira] [Commented] (SPARK-22957) ApproxQuantile breaks if the
number of rows exceeds MaxInt
[ https://issues.apache.org/jira/browse/SPARK-22957?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16311323#comment-16311323 ]
Apache Spark commented on SPARK-22957:
--------------------------------------
User 'juliuszsompolski' has created a pull request for this issue:
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
>
> 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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