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https://issues.apache.org/jira/browse/SPARK-19440?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-19440.
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Resolution: Invalid
It seems there are as below:
{code}
>>> from pyspark.sql import Window
>>> window = Window.orderBy("date").rowsBetween(Window.unboundedPreceding,
>>> Window.currentRow)
>>> dir(Window)
['_FOLLOWING_THRESHOLD', '_JAVA_MAX_LONG', '_JAVA_MIN_LONG',
'_PRECEDING_THRESHOLD', '__class__', '__delattr__', '__dict__', '__doc__',
'__format__', '__getattribute__', '__hash__', '__init__', '__module__',
'__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__',
'__sizeof__', '__str__', '__subclasshook__', '__weakref__', 'currentRow',
'orderBy', 'partitionBy', 'rangeBetween', 'rowsBetween', 'unboundedFollowing',
'unboundedPreceding']
>>>
{code}
Please reopen this if I am mistaken.
> Window in pyspark doesn't have attributes unboundedPreceding,
> unboundedFollowing and currentRow
> -----------------------------------------------------------------------------------------------
>
> Key: SPARK-19440
> URL: https://issues.apache.org/jira/browse/SPARK-19440
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 2.0.0
> Reporter: Franklyn Dsouza
> Priority: Trivial
>
> The Window class in pyspark doesn't have the attributes unboundedPreceding,
> unboundedFollowing and currentRow despite the documentation suggesting this
> attributes be used.
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