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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.execution

import java.util.concurrent.ConcurrentHashMap
import java.util.concurrent.atomic.AtomicLong

import scala.concurrent.{ExecutionContext, Future}

import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.execution.ui.{SparkListenerSQLExecutionEnd, SparkListenerSQLExecutionStart}
import org.apache.spark.util.Utils

object SQLExecution {

  val EXECUTION_ID_KEY = "spark.sql.execution.id"

  private val _nextExecutionId = new AtomicLong(0)

  private def nextExecutionId: Long = _nextExecutionId.getAndIncrement

  private val executionIdToQueryExecution = new ConcurrentHashMap[Long, QueryExecution]()

  def getQueryExecution(executionId: Long): QueryExecution = {
    executionIdToQueryExecution.get(executionId)
  }

  private val testing = sys.props.contains("spark.testing")

  private[sql] def checkSQLExecutionId(sparkSession: SparkSession): Unit = {
    val sc = sparkSession.sparkContext
    // only throw an exception during tests. a missing execution ID should not fail a job.
    if (testing && sc.getLocalProperty(EXECUTION_ID_KEY) == null) {
      // Attention testers: when a test fails with this exception, it means that the action that
      // started execution of a query didn't call withNewExecutionId. The execution ID should be
      // set by calling withNewExecutionId in the action that begins execution, like
      // Dataset.collect or DataFrameWriter.insertInto.
      throw new IllegalStateException("Execution ID should be set")
    }
  }

  /**
   * Wrap an action that will execute "queryExecution" to track all Spark jobs in the body so that
   * we can connect them with an execution.
   */
  def withNewExecutionId[T](
      sparkSession: SparkSession,
      queryExecution: QueryExecution)(body: => T): T = {
    val sc = sparkSession.sparkContext
    val oldExecutionId = sc.getLocalProperty(EXECUTION_ID_KEY)
    val executionId = SQLExecution.nextExecutionId
    sc.setLocalProperty(EXECUTION_ID_KEY, executionId.toString)
    executionIdToQueryExecution.put(executionId, queryExecution)
    try {
      // sparkContext.getCallSite() would first try to pick up any call site that was previously
      // set, then fall back to Utils.getCallSite(); call Utils.getCallSite() directly on
      // streaming queries would give us call site like "run at :0"
      val callSite = sc.getCallSite()

      withSQLConfPropagated(sparkSession) {
        sc.listenerBus.post(SparkListenerSQLExecutionStart(
          executionId, callSite.shortForm, callSite.longForm, queryExecution.toString,
          SparkPlanInfo.fromSparkPlan(queryExecution.executedPlan), System.currentTimeMillis()))
        try {
          body
        } finally {
          sc.listenerBus.post(SparkListenerSQLExecutionEnd(
            executionId, System.currentTimeMillis()))
        }
      }
    } finally {
      executionIdToQueryExecution.remove(executionId)
      sc.setLocalProperty(EXECUTION_ID_KEY, oldExecutionId)
    }
  }

  /**
   * Wrap an action with a known executionId. When running a different action in a different
   * thread from the original one, this method can be used to connect the Spark jobs in this action
   * with the known executionId, e.g., `BroadcastExchangeExec.relationFuture`.
   */
  def withExecutionId[T](sparkSession: SparkSession, executionId: String)(body: => T): T = {
    val sc = sparkSession.sparkContext
    val oldExecutionId = sc.getLocalProperty(SQLExecution.EXECUTION_ID_KEY)
    withSQLConfPropagated(sparkSession) {
      try {
        sc.setLocalProperty(SQLExecution.EXECUTION_ID_KEY, executionId)
        body
      } finally {
        sc.setLocalProperty(SQLExecution.EXECUTION_ID_KEY, oldExecutionId)
      }
    }
  }

  /**
   * Wrap an action with specified SQL configs. These configs will be propagated to the executor
   * side via job local properties.
   */
  def withSQLConfPropagated[T](sparkSession: SparkSession)(body: => T): T = {
    val sc = sparkSession.sparkContext
    // Set all the specified SQL configs to local properties, so that they can be available at
    // the executor side.
    val allConfigs = sparkSession.sessionState.conf.getAllConfs
    val originalLocalProps = allConfigs.collect {
      case (key, value) if key.startsWith("spark") =>
        val originalValue = sc.getLocalProperty(key)
        sc.setLocalProperty(key, value)
        (key, originalValue)
    }

    try {
      body
    } finally {
      for ((key, value) <- originalLocalProps) {
        sc.setLocalProperty(key, value)
      }
    }
  }

  /**
   * Wrap passed function to ensure necessary thread-local variables like
   * SparkContext local properties are forwarded to execution thread
   */
  def withThreadLocalCaptured[T](
      sparkSession: SparkSession, exec: ExecutionContext)(body: => T): Future[T] = {
    val activeSession = sparkSession
    val sc = sparkSession.sparkContext
    val localProps = Utils.cloneProperties(sc.getLocalProperties)
    Future {
      val originalSession = SparkSession.getActiveSession
      val originalLocalProps = sc.getLocalProperties
      SparkSession.setActiveSession(activeSession)
      sc.setLocalProperties(localProps)
      val res = body
      // reset active session and local props.
      sc.setLocalProperties(originalLocalProps)
      if (originalSession.nonEmpty) {
        SparkSession.setActiveSession(originalSession.get)
      } else {
        SparkSession.clearActiveSession()
      }
      res
    }(exec)
  }
}




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