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Date: Tue, 25 Apr 2017 21:33:04 +0000 (UTC)
From: "Apache Spark (JIRA)" <jira@apache.org>
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Message-ID: <JIRA.13066856.1493155607000.48793.1493155984164@Atlassian.JIRA>
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Subject: [jira] [Assigned] (SPARK-20463) Expose SPARK SQL <=> operator in
 PySpark
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archived-at: Tue, 25 Apr 2017 21:33:10 -0000


     [ https://issues.apache.org/jira/browse/SPARK-20463?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-20463:
------------------------------------

    Assignee:     (was: Apache Spark)

> Expose SPARK SQL <=> operator in PySpark
> ----------------------------------------
>
>                 Key: SPARK-20463
>                 URL: https://issues.apache.org/jira/browse/SPARK-20463
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark
>    Affects Versions: 2.1.0
>            Reporter: Michael Styles
>
> Expose the SPARK SQL '<=>' operator in Pyspark as a column function called *isNotDistinctFrom*. For example:
> {panel}
> {noformat}
> data = [(10, 20), (30, 30), (40, None), (None, None)]
> df2 = sc.parallelize(data).toDF("c1", "c2")
> df2.where(df2["c1"].isNotDistinctFrom(df2["c2"]).collect())
> [Row(c1=30, c2=30), Row(c1=None, c2=None)]
> {noformat}
> {panel}


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