cloud-fan commented on code in PR #37761:
URL: https://github.com/apache/spark/pull/37761#discussion_r963291217
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sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala:
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@@ -2808,6 +2808,53 @@ class Dataset[T] private[sql](
}
}
+ /**
+ * (Scala-specific)
+ * Returns a new Dataset with a columns renamed.
+ * This is a no-op if schema doesn't contain existingName.
+ *
+ * `colsMap` is a map of existing column name and new column name.
+ *
+ * @group untypedrel
+ * @since 3.4.0
+ */
+ def withColumnsRenamed(colsMap: Map[String, String]): DataFrame = {
+ val resolver = sparkSession.sessionState.analyzer.resolver
+ val output = queryExecution.analyzed.output
+
Review Comment:
a simpler approach
```
val projectList = output.map { attr =>
if (resolver...) Alias(attr, ...) else attr
}
withPlan(Project(projectList, logicalPlan))
```
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