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

2017-02-16 Thread Apache Spark (JIRA)

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

Apache Spark reassigned SPARK-19573:


Assignee: (was: Apache Spark)

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

2017-02-16 Thread Apache Spark (JIRA)

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

Apache Spark reassigned SPARK-19573:


Assignee: Apache Spark

> 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
>Assignee: Apache Spark
>
> 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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