Github user mateiz commented on a diff in the pull request:
https://github.com/apache/spark/pull/1338#discussion_r15388927
--- Diff: python/pyspark/rdd.py ---
@@ -964,6 +964,106 @@ def first(self):
"""
return self.take(1)[0]
+ def saveAsNewAPIHadoopDataset(self, conf, keyConverter=None,
valueConverter=None):
+ """
+ Output a Python RDD of key-value pairs (of form C{RDD[(K, V)]}) to
any Hadoop file
+ system, using the new Hadoop OutputFormat API (mapreduce package).
Keys/values are
+ converted for output using either user specified converters or, by
default,
+ L{org.apache.spark.api.python.JavaToWritableConverter}.
+
+ @param conf: Hadoop job configuration, passed in as a dict
+ @param keyConverter: (None by default)
+ @param valueConverter: (None by default)
+ """
+ jconf = self.ctx._dictToJavaMap(conf)
+ reserialized =
self._reserialize(BatchedSerializer(PickleSerializer(), 10))
--- End diff --
Making it configurable would also give users a way to avoid the clone issue
with types that WritableUtils.clone doesn't work on, so I like that. They'd
have to configure it to 1 and we'd have to make sure we don't try to clone in
that case.
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