Github user giwa commented on a diff in the pull request:
https://github.com/apache/spark/pull/2538#discussion_r18079928
--- Diff: python/pyspark/streaming/dstream.py ---
@@ -0,0 +1,400 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements. See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+from itertools import chain, ifilter, imap
+import operator
+
+from pyspark import RDD
+from pyspark.storagelevel import StorageLevel
+from pyspark.streaming.util import rddToFileName, RDDFunction, RDDFunction2
+from pyspark.rdd import portable_hash
+from pyspark.streaming.duration import Seconds
+
+
+__all__ = ["DStream"]
+
+
+class DStream(object):
+ def __init__(self, jdstream, ssc, jrdd_deserializer):
+ self._jdstream = jdstream
+ self._ssc = ssc
+ self.ctx = ssc._sc
+ self._jrdd_deserializer = jrdd_deserializer
+ self.is_cached = False
+ self.is_checkpointed = False
+
+ def context(self):
+ """
+ Return the StreamingContext associated with this DStream
+ """
+ return self._ssc
+
+ def count(self):
+ """
+ Return a new DStream which contains the number of elements in this
DStream.
+ """
+ return self.mapPartitions(lambda i: [sum(1 for _ in i)]).sum()
+
+ def sum(self):
+ """
+ Add up the elements in this DStream.
+ """
+ return self.mapPartitions(lambda x: [sum(x)]).reduce(operator.add)
+
+ def print_(self, label=None):
+ """
+ Since print is reserved name for python, we cannot define a
"print" method function.
+ This function prints serialized data in RDD in DStream because
Scala and Java cannot
+ deserialized pickled python object. Please use DStream.pyprint()
to print results.
+
+ Call DStream.print() and this function will print byte array in
the DStream
+ """
+ # a hack to call print function in DStream
+ getattr(self._jdstream, "print")(label)
--- End diff --
I am not sure print_ is needed for PythonSparkStreaming.
Please remove "(label)"
```
getattr(self._jdstream, "print")(label)
```
I put this input parameter for debugging purpose to make sure which print
is called when I use many print operation.
```
-------------------------------------------
Time: 123456789
-------------------------------------------
called after reduce
("a", 1)
("b", 22)
```
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