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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-23084) Add unboundedPreceding(), unboundedFollowing() and currentRow() to PySpark
Date Thu, 25 Jan 2018 22:04:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-23084?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-23084:
------------------------------------

    Assignee:     (was: Apache Spark)

> Add unboundedPreceding(), unboundedFollowing() and currentRow() to PySpark 
> ---------------------------------------------------------------------------
>
>                 Key: SPARK-23084
>                 URL: https://issues.apache.org/jira/browse/SPARK-23084
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark
>    Affects Versions: 2.3.0
>            Reporter: Xiao Li
>            Priority: Major
>
> Add the new APIs (introduced by https://github.com/apache/spark/pull/18814) to PySpark.
Also update the rangeBetween API
> {noformat}
> /**
>  * Window function: returns the special frame boundary that represents the first row
in the
>  * window partition.
>  *
>  * @group window_funcs
>  * @since 2.3.0
>  */
>  def unboundedPreceding(): Column = Column(UnboundedPreceding)
> /**
>  * Window function: returns the special frame boundary that represents the last row in
the
>  * window partition.
>  *
>  * @group window_funcs
>  * @since 2.3.0
>  */
>  def unboundedFollowing(): Column = Column(UnboundedFollowing)
> /**
>  * Window function: returns the special frame boundary that represents the current row
in the
>  * window partition.
>  *
>  * @group window_funcs
>  * @since 2.3.0
>  */
>  def currentRow(): Column = Column(CurrentRow)
> {noformat}



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