cloud-fan commented on a change in pull request #31854:
URL: https://github.com/apache/spark/pull/31854#discussion_r600185552
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File path: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
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@@ -2738,6 +2738,31 @@ class DataFrameSuite extends QueryTest
checkAnswer(df.select(col2), Row(1) :: Row(2) :: Row(3) :: Nil)
}
+ test("SPARK-34763: col(), $\"<name>\", df(\"name\") should handle quoted
column name properly") {
+ val df1 = spark.sql("SELECT 'col1' AS `a``b.c`")
+ checkAnswer(df1.selectExpr("`a``b.c`"), Row("col1"))
+ checkAnswer(df1.select(df1("`a``b.c`")), Row("col1"))
+ checkAnswer(df1.select(col("`a``b.c`")), Row("col1"))
+ checkAnswer(df1.select($"`a``b.c`"), Row("col1"))
+
+ val df2 = df1.as("d.e`f")
+ checkAnswer(df2.selectExpr("`a``b.c`"), Row("col1"))
+ checkAnswer(df2.select(df2("`a``b.c`")), Row("col1"))
+ checkAnswer(df2.select(col("`a``b.c`")), Row("col1"))
+ checkAnswer(df2.select($"`a``b.c`"), Row("col1"))
+
+ checkAnswer(df2.selectExpr("`d.e``f`.`a``b.c`"), Row("col1"))
+ checkAnswer(df2.select(df2("`d.e``f`.`a``b.c`")), Row("col1"))
+ checkAnswer(df2.select(col("`d.e``f`.`a``b.c`")), Row("col1"))
+ checkAnswer(df2.select($"`d.e``f`.`a``b.c`"), Row("col1"))
+
+ val df3 = df1.as("*-#&% ?")
+ checkAnswer(df3.selectExpr("`*-#&% ?`.`a``b.c`"), Row("col1"))
+ checkAnswer(df3.select(df3("*-#&% ?.`a``b.c`")), Row("col1"))
+ checkAnswer(df3.select(col("*-#&% ?.`a``b.c`")), Row("col1"))
+ checkAnswer(df3.select($"*-#&% ?.`a``b.c`"), Row("col1"))
Review comment:
If 40+ tests fail, we definitely shouldn't do it in this PR.
It's intentional when we write the code, but I don't think it's intentional
to allow end-users to do something like `df3.select($"*-#&% ?.`a``b.c`")`.
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