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[SPARK-42655][SQL] Incorrect ambiguous column reference error #40258

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[SPARK-42655][SQL] Incorrect ambiguous column reference error #40258

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2 changes: 1 addition & 1 deletion sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/package.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -342,7 +342,7 @@ package object expressions {
// attribute metadata to indicate that they are from metadata columns, but they should not
// keep any restrictions that may break column resolution for normal attributes.
// See SPARK-42084 for more details.
prunedCandidates.map(_.markAsAllowAnyAccess()) match {
prunedCandidates.distinct.map(_.markAsAllowAnyAccess()) match {
case Seq(a) if nestedFields.nonEmpty =>
// One match, but we also need to extract the requested nested field.
// The foldLeft adds ExtractValues for every remaining parts of the identifier,
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9 changes: 9 additions & 0 deletions sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
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Expand Up @@ -2768,6 +2768,15 @@ class DataFrameSuite extends QueryTest
checkAnswer(swappedDf.filter($"key"($"map") > "a"), Row(2, Map(2 -> "b")))
}

test("SPARK-42655 Fix ambiguous column reference error") {
val df1 = sparkContext.parallelize(List((1, 2, 3, 4, 5))).toDF("id", "col2", "col3",
"col4", "col5")
val op_cols_mixed_case = List("id", "col2", "col3", "col4", "col5", "ID")
val df2 = df1.select(op_cols_mixed_case.head, op_cols_mixed_case.tail: _*)
// should not throw any error.
checkAnswer(df2.select("id"), Row(1))
}

test("SPARK-26057: attribute deduplication on already analyzed plans") {
withTempView("a", "b", "v") {
val df1 = Seq(("1-1", 6)).toDF("id", "n")
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