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Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2017/03/18 23:41:41 UTC

[jira] [Updated] (SPARK-19573) Make NaN/null handling consistent in approxQuantile

     [ https://issues.apache.org/jira/browse/SPARK-19573?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiao Li updated SPARK-19573:
----------------------------
    Target Version/s: 2.2.0

> Make NaN/null handling consistent in approxQuantile
> ---------------------------------------------------
>
>                 Key: SPARK-19573
>                 URL: https://issues.apache.org/jira/browse/SPARK-19573
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.2.0
>            Reporter: zhengruifeng
>
> As discussed in https://github.com/apache/spark/pull/16776, this jira is used to track the following issue:
> Multi-column version of approxQuantile drop the rows containing *any* NaN/null, the results are not consistent with outputs of the single-version.



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