Github user mateiz commented on a diff in the pull request:
https://github.com/apache/spark/pull/1460#discussion_r15072735
--- Diff: python/pyspark/rdd.py ---
@@ -168,6 +170,123 @@ def _replaceRoot(self, value):
self._sink(1)
+class Merger(object):
+ """
+ External merger will dump the aggregated data into disks when memory
usage is above
+ the limit, then merge them together.
+
+ >>> combiner = lambda x, y:x+y
+ >>> merger = Merger(combiner, 10)
+ >>> N = 10000
+ >>> merger.merge(zip(xrange(N), xrange(N)) * 10)
+ >>> merger.spills
+ 100
+ >>> sum(1 for k,v in merger.iteritems())
+ 10000
+ """
+
+ PARTITIONS = 64
+ BATCH = 1000
+
+ def __init__(self, combiner, memory_limit=256, path="/tmp/pyspark",
serializer=None):
--- End diff --
This should actually rotate among storage directories in spark.local.dir.
Check out how the DiskStore works in Java.
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