Github user nchammas commented on a diff in the pull request:
https://github.com/apache/spark/pull/2369#discussion_r17510214
--- Diff: python/pyspark/tests.py ---
@@ -574,6 +574,34 @@ def test_broadcast_in_udf(self):
[res] = self.sqlCtx.sql("SELECT MYUDF('')").collect()
self.assertEqual("", res[0])
+ def test_basic_functions(self):
+ rdd = self.sc.parallelize(['{"foo":"bar"}', '{"foo":"baz"}'])
+ srdd = self.sqlCtx.jsonRDD(rdd)
+ srdd.count()
+ srdd.collect()
+ srdd.schemaString()
+ srdd.schema()
+
+ # cache and checkpoint
+ self.assertFalse(srdd.is_cached)
+ srdd.persist()
+ srdd.unpersist()
+ srdd.cache()
+ self.assertTrue(srdd.is_cached)
+ self.assertFalse(srdd.isCheckpointed())
+ self.assertEqual(None, srdd.getCheckpointFile())
+
+ srdd = srdd.coalesce(2, True)
+ srdd = srdd.repartition(3)
+ srdd = srdd.distinct()
--- End diff --
OK, I'll take your word for it but just point out that one of the reported
issues in SPARK-3500 was specifically that `distinct()` worked but
`distinct(n)` didn't. Since that is a possible failure mode, it probably makes
sense to have a test for each.
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