Yaohua628 commented on a change in pull request #35147:
URL: https://github.com/apache/spark/pull/35147#discussion_r784456113
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File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/SchemaPruning.scala
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@@ -31,58 +31,70 @@ import org.apache.spark.sql.util.SchemaUtils._
* By "physical column", we mean a column as defined in the data source format
like Parquet format
* or ORC format. For example, in Spark SQL, a root-level Parquet column
corresponds to a SQL
* column, and a nested Parquet column corresponds to a [[StructField]].
+ *
+ * Also prunes the unnecessary metadata columns if any for all file formats.
*/
object SchemaPruning extends Rule[LogicalPlan] {
import org.apache.spark.sql.catalyst.expressions.SchemaPruning._
- override def apply(plan: LogicalPlan): LogicalPlan =
- if (conf.nestedSchemaPruningEnabled) {
- apply0(plan)
- } else {
- plan
- }
+ override def apply(plan: LogicalPlan): LogicalPlan = apply0(plan)
Review comment:
ah, that's right!
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