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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.hive
import org.apache.spark.sql._
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.catalyst.planning._
import org.apache.spark.sql.catalyst.plans._
import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
import org.apache.spark.sql.execution._
import org.apache.spark.sql.hive.execution._
private[hive] trait HiveStrategies {
// Possibly being too clever with types here... or not clever enough.
self: SparkPlanner =>
val sparkSession: SparkSession
object Scripts extends Strategy {
def apply(plan: LogicalPlan): Seq[SparkPlan] = plan match {
case logical.ScriptTransformation(input, script, output, child, ioschema) =>
val hiveIoSchema = HiveScriptIOSchema(ioschema)
ScriptTransformation(input, script, output, planLater(child), hiveIoSchema) :: Nil
case _ => Nil
}
}
object DataSinks extends Strategy {
def apply(plan: LogicalPlan): Seq[SparkPlan] = plan match {
case logical.InsertIntoTable(
table: MetastoreRelation, partition, child, overwrite, ifNotExists) =>
execution.InsertIntoHiveTable(
table, partition, planLater(child), overwrite, ifNotExists) :: Nil
case hive.InsertIntoHiveTable(
table: MetastoreRelation, partition, child, overwrite, ifNotExists) =>
execution.InsertIntoHiveTable(
table, partition, planLater(child), overwrite, ifNotExists) :: Nil
case _ => Nil
}
}
/**
* Retrieves data using a HiveTableScan. Partition pruning predicates are also detected and
* applied.
*/
object HiveTableScans extends Strategy {
def apply(plan: LogicalPlan): Seq[SparkPlan] = plan match {
case PhysicalOperation(projectList, predicates, relation: MetastoreRelation) =>
// Filter out all predicates that only deal with partition keys, these are given to the
// hive table scan operator to be used for partition pruning.
val partitionKeyIds = AttributeSet(relation.partitionKeys)
val (pruningPredicates, otherPredicates) = predicates.partition { predicate =>
!predicate.references.isEmpty &&
predicate.references.subsetOf(partitionKeyIds)
}
pruneFilterProject(
projectList,
otherPredicates,
identity[Seq[Expression]],
HiveTableScanExec(_, relation, pruningPredicates)(sparkSession)) :: Nil
case _ =>
Nil
}
}
}
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