[GitHub] [spark] viirya commented on a change in pull request #24997: [SPARK-28198][PYTHON] Add mapPartitionsInPandas to allow an iterator of DataFrames

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viirya commented on a change in pull request #24997: [SPARK-28198][PYTHON] Add mapPartitionsInPandas to allow an iterator of DataFrames
URL: https://github.com/apache/spark/pull/24997#discussion_r298960749
 
 

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 File path: sql/core/src/main/scala/org/apache/spark/sql/execution/python/MapPartitionsInPandasExec.scala
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+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.execution.python
+
+import scala.collection.JavaConverters._
+
+import org.apache.spark.TaskContext
+import org.apache.spark.api.python.{ChainedPythonFunctions, PythonEvalType}
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.catalyst.expressions._
+import org.apache.spark.sql.catalyst.plans.physical._
+import org.apache.spark.sql.execution.{SparkPlan, UnaryExecNode}
+import org.apache.spark.sql.types.{StructField, StructType}
+import org.apache.spark.sql.util.ArrowUtils
+import org.apache.spark.sql.vectorized.{ArrowColumnVector, ColumnarBatch}
+
+/**
+ * A relation produced by applying a function that takes an iterator of pandas DataFrames
+ * and outputs an iterator of pandas DataFrames.
+ *
+ * This is somewhat similar with [[FlatMapGroupsInPandasExec]] and
+ * `org.apache.spark.sql.catalyst.plans.logical.MapPartitionsInRWithArrow`
+ *
+ */
+case class MapPartitionsInPandasExec(
+    func: Expression,
+    output: Seq[Attribute],
+    child: SparkPlan)
+  extends UnaryExecNode {
+
+  private val pandasFunction = func.asInstanceOf[PythonUDF].func
+
+  override def producedAttributes: AttributeSet = AttributeSet(output)
+
+  private val batchSize = conf.arrowMaxRecordsPerBatch
+
+  override def outputPartitioning: Partitioning = child.outputPartitioning
 
 Review comment:
   Is this correct? After the python udf, I think the partitioning is unknown? 

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