zhengruifeng commented on code in PR #45846:
URL: https://github.com/apache/spark/pull/45846#discussion_r1549365091
##########
connector/connect/client/jvm/src/test/scala/org/apache/spark/sql/ClientE2ETestSuite.scala:
##########
@@ -938,11 +938,14 @@ class ClientE2ETestSuite extends RemoteSparkSession with
SQLHelper with PrivateM
}
assert(e3.getMessage.contains("AMBIGUOUS_COLUMN_REFERENCE"))
- val e4 = intercept[AnalysisException] {
- // df1("i") is ambiguous as df1 appears in both join sides (df1_filter
contains df1).
- df1.join(df1_filter, df1("i") === 1).collect()
- }
- assert(e4.getMessage.contains("AMBIGUOUS_COLUMN_REFERENCE"))
+ // val e4 = intercept[AnalysisException] {
+ // // df1("i") is ambiguous as df1 appears in both join sides
(df1_filter contains df1).
+ // df1.join(df1_filter, df1("i") === 1).collect()
+ // }
+ // assert(e4.getMessage.contains("AMBIGUOUS_COLUMN_REFERENCE"))
+ //
+ // "[AMBIGUOUS_COLUMN_OR_FIELD] Column or field `i` is ambiguous and
has 2 matches.
Review Comment:
can not reproduce this failure with python client:
```
In [5]: df1 = spark.createDataFrame([(1, "a")], schema=["i", "j"])
In [6]: df1_filter = df1.filter(df1.i > 0)
In [7]: df2 = spark.createDataFrame([(2, "b")], schema=["i", "y"])
In [8]: df1.join(df1_filter, df1.i == 1).collect()
Out[8]: [Row(i=1, j='a', i=1, j='a')]
```
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