Github user viirya commented on the issue:
https://github.com/apache/spark/pull/18277
When you try to do this on a rdd of array of unicode string. The result of
Python2 looks a bit weird.
Using Python version 2.7.12 (default, Jul 1 2016 15:12:24)
SparkSession available as 'spark'.
>>> data = [u'\u6d4b\u8bd5', '1']
>>> rdd = sc.parallelize(data)
>>> result = rdd.pipe('cat').collect()
>>> result
[u'\u6d4b\u8bd5', u'1']
>>> data = [[u'\u6d4b\u8bd5', '1'], ['1', '2']]
>>> rdd = sc.parallelize(data)
>>> rdd.collect()
[[u'\u6d4b\u8bd5', '1'], ['1', '2']]
>>> result = rdd.pipe('cat').collect()
>>> result
[u"[u'\\u6d4b\\u8bd5', '1']", u"['1', '2']"] # looks weird and
different to Python3.
>>>
Using Python version 3.5.2 (default, Nov 17 2016 17:05:23)
SparkSession available as 'spark'.
>>> data = [u'\u6d4b\u8bd5', '1']
>>> rdd = sc.parallelize(data)
>>> result = rdd.pipe('cat').collect()
>>> result
['\u6d4b\u8bd5', '1']
>>> data = [[u'\u6d4b\u8bd5', '1'], ['1', '2']]
>>> rdd = sc.parallelize(data)
>>> rdd.collect()
[['\u6d4b\u8bd5', '1'], ['1', '2']]
>>> result = rdd.pipe('cat').collect()
>>> result
["['\u6d4b\u8bd5', '1']", "['1', '2']"]
>>>
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