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

/*
 * 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 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
}

相关信息

spark 源码目录

相关文章

spark AddPartitionExec 源码

spark AlterNamespaceSetPropertiesExec 源码

spark AlterTableExec 源码

spark BatchScanExec 源码

spark ContinuousScanExec 源码

spark CreateIndexExec 源码

spark CreateNamespaceExec 源码

spark CreateTableExec 源码

spark DataSourceRDD 源码

spark DataSourceV2ScanExecBase 源码