SPARK-1168, Added foldByKey to pyspark.

Author: Prashant Sharma <prashan...@imaginea.com>

Closes #115 from ScrapCodes/SPARK-1168/pyspark-foldByKey and squashes the 
following commits:

db6f67e [Prashant Sharma] SPARK-1168, Added foldByKey to pyspark.


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/44805058
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/44805058
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/44805058

Branch: refs/heads/branch-0.9
Commit: 44805058fc054f5d2f05a763bb3735c5b1afefb8
Parents: e74e79a
Author: Prashant Sharma <prashan...@imaginea.com>
Authored: Mon Mar 10 13:37:11 2014 -0700
Committer: Patrick Wendell <pwend...@gmail.com>
Committed: Sun Mar 16 22:13:33 2014 -0700

----------------------------------------------------------------------
 python/pyspark/rdd.py | 14 ++++++++++++++
 1 file changed, 14 insertions(+)
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http://git-wip-us.apache.org/repos/asf/spark/blob/44805058/python/pyspark/rdd.py
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diff --git a/python/pyspark/rdd.py b/python/pyspark/rdd.py
index 678b005..487bfb1 100644
--- a/python/pyspark/rdd.py
+++ b/python/pyspark/rdd.py
@@ -910,7 +910,21 @@ class RDD(object):
                     combiners[k] = mergeCombiners(combiners[k], v)
             return combiners.iteritems()
         return shuffled.mapPartitions(_mergeCombiners)
+    
+    def foldByKey(self, zeroValue, func, numPartitions=None):
+        """
+        Merge the values for each key using an associative function "func" and 
a neutral "zeroValue"
+        which may be added to the result an arbitrary number of times, and 
must not change 
+        the result (e.g., 0 for addition, or 1 for multiplication.).           
     
 
+        >>> rdd = sc.parallelize([("a", 1), ("b", 1), ("a", 1)])
+        >>> from operator import add
+        >>> rdd.foldByKey(0, add).collect()
+        [('a', 2), ('b', 1)]
+        """
+        return self.combineByKey(lambda v: func(zeroValue, v), func, func, 
numPartitions)
+    
+    
     # TODO: support variant with custom partitioner
     def groupByKey(self, numPartitions=None):
         """

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