Source code for pyspark.sql.window
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import sys
from pyspark import since, SparkContext
from pyspark.sql.column import _to_seq, _to_java_column
__all__ = ["Window", "WindowSpec"]
def _to_java_cols(cols):
sc = SparkContext._active_spark_context
if len(cols) == 1 and isinstance(cols[0], list):
cols = cols[0]
return _to_seq(sc, cols, _to_java_column)
[docs]class Window(object):
"""
Utility functions for defining window in DataFrames.
For example:
>>> # PARTITION BY country ORDER BY date ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW
>>> window = Window.partitionBy("country").orderBy("date").rowsBetween(-sys.maxsize, 0)
>>> # PARTITION BY country ORDER BY date RANGE BETWEEN 3 PRECEDING AND 3 FOLLOWING
>>> window = Window.orderBy("date").partitionBy("country").rangeBetween(-3, 3)
.. note:: Experimental
.. versionadded:: 1.4
"""
@staticmethod
@since(1.4)
[docs] def partitionBy(*cols):
"""
Creates a :class:`WindowSpec` with the partitioning defined.
"""
sc = SparkContext._active_spark_context
jspec = sc._jvm.org.apache.spark.sql.expressions.Window.partitionBy(_to_java_cols(cols))
return WindowSpec(jspec)
@staticmethod
@since(1.4)
[docs] def orderBy(*cols):
"""
Creates a :class:`WindowSpec` with the ordering defined.
"""
sc = SparkContext._active_spark_context
jspec = sc._jvm.org.apache.spark.sql.expressions.Window.orderBy(_to_java_cols(cols))
return WindowSpec(jspec)
[docs]class WindowSpec(object):
"""
A window specification that defines the partitioning, ordering,
and frame boundaries.
Use the static methods in :class:`Window` to create a :class:`WindowSpec`.
.. note:: Experimental
.. versionadded:: 1.4
"""
_JAVA_MAX_LONG = (1 << 63) - 1
_JAVA_MIN_LONG = - (1 << 63)
def __init__(self, jspec):
self._jspec = jspec
@since(1.4)
[docs] def partitionBy(self, *cols):
"""
Defines the partitioning columns in a :class:`WindowSpec`.
:param cols: names of columns or expressions
"""
return WindowSpec(self._jspec.partitionBy(_to_java_cols(cols)))
@since(1.4)
[docs] def orderBy(self, *cols):
"""
Defines the ordering columns in a :class:`WindowSpec`.
:param cols: names of columns or expressions
"""
return WindowSpec(self._jspec.orderBy(_to_java_cols(cols)))
@since(1.4)
[docs] def rowsBetween(self, start, end):
"""
Defines the frame boundaries, from `start` (inclusive) to `end` (inclusive).
Both `start` and `end` are relative positions from the current row.
For example, "0" means "current row", while "-1" means the row before
the current row, and "5" means the fifth row after the current row.
:param start: boundary start, inclusive.
The frame is unbounded if this is ``-sys.maxsize`` (or lower).
:param end: boundary end, inclusive.
The frame is unbounded if this is ``sys.maxsize`` (or higher).
"""
if start <= -sys.maxsize:
start = self._JAVA_MIN_LONG
if end >= sys.maxsize:
end = self._JAVA_MAX_LONG
return WindowSpec(self._jspec.rowsBetween(start, end))
@since(1.4)
[docs] def rangeBetween(self, start, end):
"""
Defines the frame boundaries, from `start` (inclusive) to `end` (inclusive).
Both `start` and `end` are relative from the current row. For example,
"0" means "current row", while "-1" means one off before the current row,
and "5" means the five off after the current row.
:param start: boundary start, inclusive.
The frame is unbounded if this is ``-sys.maxsize`` (or lower).
:param end: boundary end, inclusive.
The frame is unbounded if this is ``sys.maxsize`` (or higher).
"""
if start <= -sys.maxsize:
start = self._JAVA_MIN_LONG
if end >= sys.maxsize:
end = self._JAVA_MAX_LONG
return WindowSpec(self._jspec.rangeBetween(start, end))
def _test():
import doctest
SparkContext('local[4]', 'PythonTest')
(failure_count, test_count) = doctest.testmod()
if failure_count:
exit(-1)
if __name__ == "__main__":
_test()