Github user adrian-wang commented on a diff in the pull request:
https://github.com/apache/spark/pull/6081#discussion_r30458857
--- Diff: python/pyspark/sql/context.py ---
@@ -427,6 +428,31 @@ def func(iterator):
df = self._ssql_ctx.jsonRDD(jrdd.rdd(), scala_datatype)
return DataFrame(df, self)
+ def range(self, start, end, step=None, num_partitions=None):
+ """Creates a [[DataFrame]] with a single [[LongType]] column named
`id`, containing
+ elements in an range from `start` to `end`(exclusive) with an
Integer step value, with
+ partition number specified.
+ """
+ step = 1 if step is None else step
+ num_partitions = self._sc.defaultParallelism if num_partitions is
None else num_partitions
+ if not isinstance(start, (int, long)):
+ raise TypeError("start should be long")
+ elif isinstance(start, int):
+ start = long(start)
--- End diff --
but if the value is an `int`, for example 2 literally, py4j will convert
that into java.lang.Integer, however we are not accepting this parameter in the
scala code...
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