cloud-fan commented on a change in pull request #24675: [SPARK-27803][SQL] fix
column pruning for python UDF
URL: https://github.com/apache/spark/pull/24675#discussion_r286355114
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File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/python/BatchEvalPythonExec.scala
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@@ -25,25 +25,14 @@ import org.apache.spark.TaskContext
import org.apache.spark.api.python.{ChainedPythonFunctions, PythonEvalType}
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.expressions._
-import org.apache.spark.sql.catalyst.plans.logical.{LogicalPlan, UnaryNode}
import org.apache.spark.sql.execution.SparkPlan
import org.apache.spark.sql.types.{StructField, StructType}
-/**
- * A logical plan that evaluates a [[PythonUDF]]
- */
-case class BatchEvalPython(
Review comment:
I've to move out because I need to access them in `PushdownPredicate`, which
is in catalyst module.
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