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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2018/02/11 09:57:00 UTC
[jira] [Assigned] (SPARK-23084) Add unboundedPreceding(),
unboundedFollowing() and currentRow() to PySpark
[ https://issues.apache.org/jira/browse/SPARK-23084?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon reassigned SPARK-23084:
------------------------------------
Assignee: Huaxin Gao
> 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
> Assignee: Huaxin Gao
> 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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