Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/18023#discussion_r126271044
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala ---
@@ -847,6 +847,12 @@ object SQLConf {
.intConf
.createWithDefault(UnsafeExternalSorter.DEFAULT_NUM_ELEMENTS_FOR_SPILL_THRESHOLD.toInt)
+ val SUPPORT_QUOTED_REGEX_COLUMN_NAME =
buildConf("spark.sql.parser.quotedRegexColumnNames")
+ .doc("When true, quoted Identifiers (using backticks) in SELECT
statement are interpreted" +
--- End diff --
@janewangfb You can do something like:
scala> val df = Seq((1, 2), (2, 3), (3, 4)).toDF("a", "b")
df: org.apache.spark.sql.DataFrame = [a: int, b: int]
scala> df.groupBy("a", "b").agg(df.col("*")).show
+---+---+---+---+
| a| b| a| b|
+---+---+---+---+
| 2| 3| 2| 3|
| 1| 2| 1| 2|
| 3| 4| 3| 4|
+---+---+---+---+
So I guess you can also do something like:
scala> df.groupBy("a", "b").agg(df.colRegex("`...`"))
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