spark CacheTableExec 源码
spark CacheTableExec 代码
文件路径:/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/CacheTableExec.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.
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package org.apache.spark.sql.execution.datasources.v2
import java.util.Locale
import org.apache.spark.sql.{DataFrame, Dataset}
import org.apache.spark.sql.catalyst.{InternalRow, TableIdentifier}
import org.apache.spark.sql.catalyst.analysis.LocalTempView
import org.apache.spark.sql.catalyst.expressions.Attribute
import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
import org.apache.spark.sql.catalyst.util.CaseInsensitiveMap
import org.apache.spark.sql.connector.catalog.CatalogV2Implicits.MultipartIdentifierHelper
import org.apache.spark.sql.execution.command.CreateViewCommand
import org.apache.spark.storage.StorageLevel
trait BaseCacheTableExec extends LeafV2CommandExec {
def relationName: String
def planToCache: LogicalPlan
def dataFrameForCachedPlan: DataFrame
def isLazy: Boolean
def options: Map[String, String]
override def run(): Seq[InternalRow] = {
val storageLevelKey = "storagelevel"
val storageLevelValue =
CaseInsensitiveMap(options).get(storageLevelKey).map(_.toUpperCase(Locale.ROOT))
val withoutStorageLevel = options.filterKeys(_.toLowerCase(Locale.ROOT) != storageLevelKey)
if (withoutStorageLevel.nonEmpty) {
logWarning(s"Invalid options: ${withoutStorageLevel.mkString(", ")}")
}
if (storageLevelValue.nonEmpty) {
session.sharedState.cacheManager.cacheQuery(
session,
planToCache,
Some(relationName),
StorageLevel.fromString(storageLevelValue.get))
} else {
session.sharedState.cacheManager.cacheQuery(
session,
planToCache,
Some(relationName))
}
if (!isLazy) {
// Performs eager caching.
dataFrameForCachedPlan.count()
}
Seq.empty
}
override def output: Seq[Attribute] = Seq.empty
}
case class CacheTableExec(
relation: LogicalPlan,
multipartIdentifier: Seq[String],
override val isLazy: Boolean,
override val options: Map[String, String]) extends BaseCacheTableExec {
override lazy val relationName: String = multipartIdentifier.quoted
override lazy val planToCache: LogicalPlan = relation
override lazy val dataFrameForCachedPlan: DataFrame = {
Dataset.ofRows(session, planToCache)
}
}
case class CacheTableAsSelectExec(
tempViewName: String,
query: LogicalPlan,
originalText: String,
override val isLazy: Boolean,
override val options: Map[String, String],
referredTempFunctions: Seq[String]) extends BaseCacheTableExec {
override lazy val relationName: String = tempViewName
override lazy val planToCache: LogicalPlan = {
CreateViewCommand(
name = TableIdentifier(tempViewName),
userSpecifiedColumns = Nil,
comment = None,
properties = Map.empty,
originalText = Some(originalText),
plan = query,
allowExisting = false,
replace = false,
viewType = LocalTempView,
isAnalyzed = true,
referredTempFunctions = referredTempFunctions
).run(session)
dataFrameForCachedPlan.logicalPlan
}
override lazy val dataFrameForCachedPlan: DataFrame = {
session.table(tempViewName)
}
}
case class UncacheTableExec(
relation: LogicalPlan,
cascade: Boolean) extends LeafV2CommandExec {
override def run(): Seq[InternalRow] = {
session.sharedState.cacheManager.uncacheQuery(session, relation, cascade)
Seq.empty
}
override def output: Seq[Attribute] = Seq.empty
}
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