[jira] [Created] (SPARK-35454) Ambiguous self-join doesn't fail after transfroming the dataset to dataframe

["wuyi (Jira)" <ji...@apache.org>]

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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