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https://issues.apache.org/jira/browse/SPARK-20463?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Michael Styles updated SPARK-20463:
-----------------------------------
Component/s: (was: PySpark)
SQL
Summary: Add support for IS [NOT] DISTINCT FROM to SPARK SQL (was:
Expose SPARK SQL <=> operator in PySpark)
> Add support for IS [NOT] DISTINCT FROM to SPARK SQL
> ---------------------------------------------------
>
> Key: SPARK-20463
> URL: https://issues.apache.org/jira/browse/SPARK-20463
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> 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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