org.apache.spark.sql.catalyst.plans.logical.pythonLogicalOperators.scala Maven / Gradle / Ivy
/*
* 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.catalyst.plans.logical
import org.apache.spark.sql.catalyst.expressions.{Attribute, AttributeSet, Expression}
/**
* FlatMap groups using an udf: pandas.Dataframe -> pandas.DataFrame.
* This is used by DataFrame.groupby().apply().
*/
case class FlatMapGroupsInPandas(
groupingAttributes: Seq[Attribute],
functionExpr: Expression,
output: Seq[Attribute],
child: LogicalPlan) extends UnaryNode {
/**
* This is needed because output attributes are considered `references` when
* passed through the constructor.
*
* Without this, catalyst will complain that output attributes are missing
* from the input.
*/
override val producedAttributes = AttributeSet(output)
}