cloud-fan commented on a change in pull request #27817: [SPARK-31060][SQL]
Handle column names containing `dots` in data source `Filter`
URL: https://github.com/apache/spark/pull/27817#discussion_r389527129
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala
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@@ -652,10 +652,11 @@ object DataSourceStrategy {
*/
object PushableColumn {
def unapply(e: Expression): Option[String] = {
+ import org.apache.spark.sql.connector.catalog.CatalogV2Implicits._
def helper(e: Expression) = e match {
case a: Attribute => Some(a.name)
case _ => None
}
- helper(e)
+ helper(e).map(quoteIfNeeded)
Review comment:
Implementation-wise, I think it's easier to use dot to separate field names,
both for Spark and source developers. I don't know how common it is to see
top-level column names containing dot.
cc @brkyvz @rdblue @imback82
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