[SPARK-2014] Make PySpark store RDDs in MEMORY_ONLY_SER with compression by default

python/pyspark/conf.py

@@ -99,6 +99,12 @@ def set(self, key, value):
         self._jconf.set(key, unicode(value))
         return self
 
+    def setIfMissing(self, key, value):
+        """Set a configuration property, if not already set."""
+        if self.get(key) is None:
+            self.set(key, value)
+        return self
+
     def setMaster(self, value):
         """Set master URL to connect to."""
         self._jconf.setMaster(value)

python/pyspark/context.py

@@ -102,7 +102,7 @@ def __init__(self, master=None, appName=None, sparkHome=None, pyFiles=None,
         else:
             self.serializer = BatchedSerializer(self._unbatched_serializer,
                                                 batchSize)
-
+        self._conf.setIfMissing("spark.rdd.compress", "true")
         # Set any parameters passed directly to us on the conf
         if master:
             self._conf.setMaster(master)

python/pyspark/rdd.py

@@ -194,10 +194,10 @@ def context(self):
 
     def cache(self):
         """
-        Persist this RDD with the default storage level (C{MEMORY_ONLY}).
+        Persist this RDD with the default storage level (C{MEMORY_ONLY_SER}).
         """
         self.is_cached = True
-        self._jrdd.cache()
+        self.persist(StorageLevel.MEMORY_ONLY_SER)
         return self
 
     def persist(self, storageLevel):