spark MapInPandasExec 源码
spark MapInPandasExec 代码
文件路径：/sql/core/src/main/scala/org/apache/spark/sql/execution/python/MapInPandasExec.scala
/*
* 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.
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package org.apache.spark.sql.execution.python
import org.apache.spark.api.python.PythonEvalType
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.execution.SparkPlan
/**
* A relation produced by applying a function that takes an iterator of pandas DataFrames
* and outputs an iterator of pandas DataFrames.
*/
case class MapInPandasExec(
func: Expression,
output: Seq[Attribute],
child: SparkPlan)
extends MapInBatchExec {
override protected val pythonEvalType: Int = PythonEvalType.SQL_MAP_PANDAS_ITER_UDF
override protected def withNewChildInternal(newChild: SparkPlan): MapInPandasExec =
copy(child = newChild)
}
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