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Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2018/01/16 00:13:00 UTC
[jira] [Created] (SPARK-23084) Add unboundedPreceding(),
unboundedFollowing() and currentRow() to PySpark
Xiao Li created SPARK-23084:
-------------------------------
Summary: 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
Environment: Add the new APIs (introduced by https://github.com/apache/spark/pull/18814) to PySpark
{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}
Reporter: Xiao Li
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