zip two rdds derived from pickleFile fails

Read an rdd from a pickle file.
Then create another from the first, and zip them together.

from pyspark import SparkContext
sc = SparkContext()
print sc.version

r = sc.parallelize(range(1, 1000))
r.saveAsPickleFile('file')

rdd = sc.pickleFile('file')
res = rdd.map(lambda row: row, preservesPartitioning=True)
z = rdd.zip(res)
print z.take(1)

Gives the following error:

File "bug.py", line 30, in <module>
print z.take(1)
File "/home/ubuntu/spark/python/pyspark/rdd.py", line 1225, in take
res = self.context.runJob(self, takeUpToNumLeft, p, True)
File "/home/ubuntu/spark/python/pyspark/context.py", line 843, in runJob
it = self._jvm.PythonRDD.runJob(self._jsc.sc(), mappedRDD._jrdd, javaPartitions, allowLocal)
File "/home/ubuntu/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py", line 538, in _call_
File "/home/ubuntu/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py", line 300, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.runJob.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 1.0 failed 1 times, most recent failure: Lost task 0.0 in stage 1.0 (TID 8, localhost): org.apache.spark.SparkException: Can only zip RDDs with same number of elements in each partition
at org.apache.spark.rdd.RDD$$anonfun$zip$1$$anon$1.hasNext(RDD.scala:746)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at org.apache.spark.rdd.RDD$$anonfun$zip$1$$anon$1.foreach(RDD.scala:742)
at org.apache.spark.api.python.PythonRDD$.writeIteratorToStream(PythonRDD.scala:406)
at org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:244)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1613)
at org.apache.spark.api.python.PythonRDD$WriterThread.run(PythonRDD.scala:205)