Spark stage提交

更多资源

• github: https://github.com/opensourceteams/spark-scala-maven
• csdn(汇总视频在线看): https://blog.csdn.net/thinktothings/article/details/84726769

Youtube 视频

• Spark Stage提交(Youtube视频) : https://youtu.be/NI8-_X6mbl4

BiliBili 视频

• Spark Stage提交(bilibili视频) : https://www.bilibili.com/video/av37445077/

作业提交事件处理

• DAGScheduler 处事作业提交事件
• 用参数finalStage 调用 submitStage() 方法

 private[scheduler] def handleJobSubmitted(jobId: Int,
      finalRDD: RDD[_],
      func: (TaskContext, Iterator[_]) => _,
      partitions: Array[Int],
      callSite: CallSite,
      listener: JobListener,
      properties: Properties) {
    var finalStage: ResultStage = null
    try {
      // New stage creation may throw an exception if, for example, jobs are run on a
      // HadoopRDD whose underlying HDFS files have been deleted.
      finalStage = newResultStage(finalRDD, func, partitions, jobId, callSite)
    } catch {
      case e: Exception =>
        logWarning("Creating new stage failed due to exception - job: " + jobId, e)
        listener.jobFailed(e)
        return
    }

    val job = new ActiveJob(jobId, finalStage, callSite, listener, properties)
    clearCacheLocs()
    logInfo("Got job %s (%s) with %d output partitions".format(
      job.jobId, callSite.shortForm, partitions.length))
    logInfo("Final stage: " + finalStage + " (" + finalStage.name + ")")
    logInfo("Parents of final stage: " + finalStage.parents)
    logInfo("Missing parents: " + getMissingParentStages(finalStage))

    val jobSubmissionTime = clock.getTimeMillis()
    jobIdToActiveJob(jobId) = job
    activeJobs += job
    finalStage.setActiveJob(job)
    val stageIds = jobIdToStageIds(jobId).toArray
    val stageInfos = stageIds.flatMap(id => stageIdToStage.get(id).map(_.latestInfo))
    listenerBus.post(
      SparkListenerJobStart(job.jobId, jobSubmissionTime, stageInfos, properties))
    submitStage(finalStage)

    submitWaitingStages()
  }

submitStage 方法处理

• 验证当前stage所在的job是活动的才继续(如Job取消了，再继续也没有意义)
• 对waitingStages，runningStages，failedStages 进行验证(stage不能重复提交)
• stage提交之前先验证当前stage的上级stage是否为空，只有为空的才可以提交
• 当ShuffleMapStage的所有partition处理完成后，会设置isAvailable为真，也就是该stage已被处理完成，不需要再处理了，这时他的子Stage就可以提交了

/** Submits stage, but first recursively submits any missing parents. */
  private def submitStage(stage: Stage) {
    val jobId = activeJobForStage(stage)
    if (jobId.isDefined) {
      logDebug("submitStage(" + stage + ")")
      if (!waitingStages(stage) && !runningStages(stage) && !failedStages(stage)) {
        val missing = getMissingParentStages(stage).sortBy(_.id)
        logDebug("missing: " + missing)
        if (missing.isEmpty) {
          logInfo("Submitting " + stage + " (" + stage.rdd + "), which has no missing parents")
          submitMissingTasks(stage, jobId.get)
        } else {
          for (parent <- missing) {
            submitStage(parent)
          }
          waitingStages += stage
        }
      }
    } else {
      abortStage(stage, "No active job for stage " + stage.id, None)
    }
  }

• 查找上级Stage
• 内部会递归一直找到祖先Stage
• (在这里判断)当ShuffleMapStage的所有partition处理完成后，会设置isAvailable为真，也就是该stage已被处理完成，不需要再处理了，这时他的子Stage就可以提交了
• getShuffleMapStage 跟 FinalStage的构建，那时的Stage划分一样，并且在FinalStage已对ShuffleDenpendency的Stage进行了缓存，这时直接根据ShuffleId匹配，直接用

private def getMissingParentStages(stage: Stage): List[Stage] = {
    val missing = new HashSet[Stage]
    val visited = new HashSet[RDD[_]]
    // We are manually maintaining a stack here to prevent StackOverflowError
    // caused by recursively visiting
    val waitingForVisit = new Stack[RDD[_]]
    def visit(rdd: RDD[_]) {
      if (!visited(rdd)) {
        visited += rdd
        val rddHasUncachedPartitions = getCacheLocs(rdd).contains(Nil)
        if (rddHasUncachedPartitions) {
          for (dep <- rdd.dependencies) {
            dep match {
              case shufDep: ShuffleDependency[_, _, _] =>
                val mapStage = getShuffleMapStage(shufDep, stage.firstJobId)
                if (!mapStage.isAvailable) {
                  missing += mapStage
                }
              case narrowDep: NarrowDependency[_] =>
                waitingForVisit.push(narrowDep.rdd)
            }
          }
        }
      }
    }
    waitingForVisit.push(stage.rdd)
    while (waitingForVisit.nonEmpty) {
      visit(waitingForVisit.pop())
    }
    missing.toList
  }