wuyi created SPARK-35454:
----------------------------
Summary: Ambiguous self-join doesn't fail after transfroming the
dataset to dataframe
Key: SPARK-35454
URL: https://issues.apache.org/jira/browse/SPARK-35454
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 3.1.1, 3.1.0
Reporter: wuyi
{code:java}
test("SPARK-28344: fail ambiguous self join - Dataset.colRegex as column ref") {
val df1 = spark.range(3)
val df2 = df1.filter($"id" > 0)
withSQLConf(
SQLConf.FAIL_AMBIGUOUS_SELF_JOIN_ENABLED.key -> "true",
SQLConf.CROSS_JOINS_ENABLED.key -> "true") {
assertAmbiguousSelfJoin(df1.join(df2, df1.colRegex("id") >
df2.colRegex("id")))
}
}
{code}
For this unit test, if we append `.toDF()` to both df1 and df2, the query won't
fail.
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