[SPARK-6949] [SQL] [PySpark] Support Date/Timestamp in Column expression

This PR enable auto_convert in JavaGateway, then we could register a converter for a given types, for example, date and datetime.

There are two bugs related to auto_convert, see [1] and [2], we workaround it in this PR.

[1]  https://github.com/bartdag/py4j/issues/160
[2] https://github.com/bartdag/py4j/issues/161

cc rxin JoshRosen

Author: Davies Liu <davies@databricks.com>

Closes #5570 from davies/py4j_date and squashes the following commits:

eb4fa53 [Davies Liu] fix tests in python 3
d17d634 [Davies Liu] rollback changes in mllib
2e7566d [Davies Liu] convert tuple into ArrayList
ceb3779 [Davies Liu] Update rdd.py
3c373f3 [Davies Liu] support date and datetime by auto_convert
cb094ff [Davies Liu] enable auto convert

1 files changed, 3 insertions, 8 deletions

diff --git a/python/pyspark/streaming/context.py b/python/pyspark/streaming/context.py
index 4590c58839..ac5ba69e8d 100644
--- a/python/pyspark/streaming/context.py
+++ b/python/pyspark/streaming/context.py
@@ -20,7 +20,6 @@ from __future__ import print_function
 import os
 import sys
 
-from py4j.java_collections import ListConverter
 from py4j.java_gateway import java_import, JavaObject
 
 from pyspark import RDD, SparkConf
@@ -305,9 +304,7 @@ class StreamingContext(object):
             rdds = [self._sc.parallelize(input) for input in rdds]
         self._check_serializers(rdds)
 
-        jrdds = ListConverter().convert([r._jrdd for r in rdds],
-                                        SparkContext._gateway._gateway_client)
-        queue = self._jvm.PythonDStream.toRDDQueue(jrdds)
+        queue = self._jvm.PythonDStream.toRDDQueue([r._jrdd for r in rdds])
         if default:
             default = default._reserialize(rdds[0]._jrdd_deserializer)
             jdstream = self._jssc.queueStream(queue, oneAtATime, default._jrdd)
@@ -322,8 +319,7 @@ class StreamingContext(object):
         the transform function parameter will be the same as the order
         of corresponding DStreams in the list.
         """
-        jdstreams = ListConverter().convert([d._jdstream for d in dstreams],
-                                            SparkContext._gateway._gateway_client)
+        jdstreams = [d._jdstream for d in dstreams]
         # change the final serializer to sc.serializer
         func = TransformFunction(self._sc,
                                  lambda t, *rdds: transformFunc(rdds).map(lambda x: x),
@@ -346,6 +342,5 @@ class StreamingContext(object):
         if len(set(s._slideDuration for s in dstreams)) > 1:
             raise ValueError("All DStreams should have same slide duration")
         first = dstreams[0]
-        jrest = ListConverter().convert([d._jdstream for d in dstreams[1:]],
-                                        SparkContext._gateway._gateway_client)
+        jrest = [d._jdstream for d in dstreams[1:]]
         return DStream(self._jssc.union(first._jdstream, jrest), self, first._jrdd_deserializer)