| /* |
| * 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.datasources.v2 |
| |
| import org.apache.spark.sql.catalyst.expressions.{Attribute, AttributeMap, Expression} |
| import org.apache.spark.sql.catalyst.plans.physical |
| import org.apache.spark.sql.connector.read.partitioning.{ClusteredDistribution, Partitioning} |
| |
| /** |
| * An adapter from public data source partitioning to catalyst internal `Partitioning`. |
| */ |
| class DataSourcePartitioning( |
| partitioning: Partitioning, |
| colNames: AttributeMap[String]) extends physical.Partitioning { |
| |
| override val numPartitions: Int = partitioning.numPartitions() |
| |
| override def satisfies0(required: physical.Distribution): Boolean = { |
| super.satisfies0(required) || { |
| required match { |
| case d: physical.ClusteredDistribution if isCandidate(d.clustering) => |
| val attrs = d.clustering.map(_.asInstanceOf[Attribute]) |
| partitioning.satisfy( |
| new ClusteredDistribution(attrs.map { a => |
| val name = colNames.get(a) |
| assert(name.isDefined, s"Attribute ${a.name} is not found in the data source output") |
| name.get |
| }.toArray)) |
| |
| case _ => false |
| } |
| } |
| } |
| |
| private def isCandidate(clustering: Seq[Expression]): Boolean = { |
| clustering.forall { |
| case a: Attribute => colNames.contains(a) |
| case _ => false |
| } |
| } |
| } |