Github user squito commented on a diff in the pull request:
https://github.com/apache/spark/pull/4629#discussion_r24852684
--- Diff: python/pyspark/tests.py ---
@@ -740,6 +739,27 @@ def test_multiple_python_java_RDD_conversions(self):
converted_rdd = RDD(data_python_rdd, self.sc)
self.assertEqual(2, converted_rdd.count())
+ def test_narrow_dependency_in_join(self):
+ rdd = self.sc.parallelize(range(10)).map(lambda x: (x, x))
--- End diff --
do these tests actually check for a narrow dependency at all? I think they
will pass even without it.
I'm not sure of a better suggestion, though. I had to use
`getNarrowDependencies` in another PR to check this:
https://github.com/apache/spark/pull/4449/files#diff-4bc3643ce90b54113cad7104f91a075bR582
but I don't think that is even exposed in pyspark ...
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