zhengruifeng commented on code in PR #45846:
URL: https://github.com/apache/spark/pull/45846#discussion_r1550693431
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python/pyspark/sql/tests/connect/test_connect_basic.py:
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@@ -1155,6 +1155,15 @@ def test_crossjoin(self):
set(spark_df.select("id").crossJoin(other=spark_df.select("name")).toPandas()),
)
+ def test_self_join(self):
+ # SPARK-47713: this query fails in classic spark
+ df1 = self.connect.createDataFrame([(1, "a")], schema=["i", "j"])
+ df1_filter = df1.filter(df1.i > 0)
+ df2 = df1.join(df1_filter, df1.i == 1)
+ self.assertEqual(df2.count(), 1)
+ self.assertEqual(df2.columns, ["i", "j", "i", "j"])
+ self.assertEqual(list(df2.first()), [1, "a", 1, "a"])
Review Comment:
`Row` constructor doesn't accept duplicated names, so test in this way
<img width="271" alt="image"
src="https://github.com/apache/spark/assets/7322292/80528560-dd47-4413-b80a-17a83b310b53";>
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