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[PYSPARK] Simpler countByValue using collections' Counter #25449

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[PYSPARK] Simpler countByValue using collections' Counter #25449

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13 changes: 3 additions & 10 deletions python/pyspark/rdd.py
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Original file line number Diff line number Diff line change
Expand Up @@ -28,7 +28,7 @@
from subprocess import Popen, PIPE
from tempfile import NamedTemporaryFile
from threading import Thread
from collections import defaultdict
from collections import defaultdict, Counter
from itertools import chain
from functools import reduce
from math import sqrt, log, isinf, isnan, pow, ceil
Expand Down Expand Up @@ -1321,16 +1321,9 @@ def countByValue(self):
[(1, 2), (2, 3)]
"""
def countPartition(iterator):
counts = defaultdict(int)
for obj in iterator:
counts[obj] += 1
yield counts
yield Counter(iterator)

def mergeMaps(m1, m2):
for k, v in m2.items():
m1[k] += v
return m1
return self.mapPartitions(countPartition).reduce(mergeMaps)
return self.mapPartitions(countPartition).reduce(operator.add)

def top(self, num, key=None):
"""
Expand Down