diff --git a/python/pyspark/rdd.py b/python/pyspark/rdd.py
index d9cdbb666f92a..73f7cbac2f6a0 100644
--- a/python/pyspark/rdd.py
+++ b/python/pyspark/rdd.py
@@ -2267,6 +2267,8 @@ def _prepare_for_python_RDD(sc, command, obj=None):
         # The broadcast will have same life cycle as created PythonRDD
         broadcast = sc.broadcast(pickled_command)
         pickled_command = ser.dumps(broadcast)
+    # There is a bug in py4j.java_gateway.JavaClass with auto_convert
+    # TODO: use auto_convert once py4j fix the bug
     broadcast_vars = ListConverter().convert(
         [x._jbroadcast for x in sc._pickled_broadcast_vars],
         sc._gateway._gateway_client)
diff --git a/python/pyspark/sql/_types.py b/python/pyspark/sql/_types.py
index 492c0cbdcf693..cffd6a9b522e7 100644
--- a/python/pyspark/sql/_types.py
+++ b/python/pyspark/sql/_types.py
@@ -17,6 +17,7 @@
 
 import sys
 import decimal
+import time
 import datetime
 import keyword
 import warnings
@@ -30,6 +31,9 @@
     long = int
     unicode = str
 
+from py4j.protocol import register_input_converter
+from py4j.java_gateway import JavaClass
+
 __all__ = [
     "DataType", "NullType", "StringType", "BinaryType", "BooleanType", "DateType",
     "TimestampType", "DecimalType", "DoubleType", "FloatType", "ByteType", "IntegerType",
@@ -1237,6 +1241,29 @@ def __repr__(self):
             return "<Row(%s)>" % ", ".join(self)
 
 
+class DateConverter(object):
+    def can_convert(self, obj):
+        return isinstance(obj, datetime.date)
+
+    def convert(self, obj, gateway_client):
+        Date = JavaClass("java.sql.Date", gateway_client)
+        return Date.valueOf(obj.strftime("%Y-%m-%d"))
+
+
+class DatetimeConverter(object):
+    def can_convert(self, obj):
+        return isinstance(obj, datetime.datetime)
+
+    def convert(self, obj, gateway_client):
+        Timestamp = JavaClass("java.sql.Timestamp", gateway_client)
+        return Timestamp(int(time.mktime(obj.timetuple())) * 1000 + obj.microsecond // 1000)
+
+
+# datetime is a subclass of date, we should register DatetimeConverter first
+register_input_converter(DatetimeConverter())
+register_input_converter(DateConverter())
+
+
 def _test():
     import doctest
     from pyspark.context import SparkContext
diff --git a/python/pyspark/sql/tests.py b/python/pyspark/sql/tests.py
index aa3aa1d164d9f..60cfb8ef3dc66 100644
--- a/python/pyspark/sql/tests.py
+++ b/python/pyspark/sql/tests.py
@@ -26,6 +26,7 @@
 import tempfile
 import pickle
 import functools
+import datetime
 
 import py4j
 
@@ -464,6 +465,16 @@ def test_infer_long_type(self):
         self.assertEqual(_infer_type(2**61), LongType())
         self.assertEqual(_infer_type(2**71), LongType())
 
+    def test_filter_with_datetime(self):
+        time = datetime.datetime(2015, 4, 17, 23, 01, 02, 3000)
+        date = time.date()
+        row = Row(date=date, time=time)
+        df = self.sqlCtx.createDataFrame([row])
+        self.assertEqual(1, df.filter(df.date == date).count())
+        self.assertEqual(1, df.filter(df.time == time).count())
+        self.assertEqual(0, df.filter(df.date > date).count())
+        self.assertEqual(0, df.filter(df.time > time).count())
+
     def test_dropna(self):
         schema = StructType([
             StructField("name", StringType(), True),