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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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