Renamed 'priority' to 'jobId' and assorted minor changes
This commit is contained in:
parent
8cae72e94e
commit
ad18410427
|
@ -25,7 +25,7 @@ import java.util.Properties
|
|||
* Tracks information about an active job in the DAGScheduler.
|
||||
*/
|
||||
private[spark] class ActiveJob(
|
||||
val runId: Int,
|
||||
val jobId: Int,
|
||||
val finalStage: Stage,
|
||||
val func: (TaskContext, Iterator[_]) => _,
|
||||
val partitions: Array[Int],
|
||||
|
|
|
@ -104,11 +104,11 @@ class DAGScheduler(
|
|||
|
||||
private val eventQueue = new LinkedBlockingQueue[DAGSchedulerEvent]
|
||||
|
||||
val nextRunId = new AtomicInteger(0)
|
||||
val nextJobId = new AtomicInteger(0)
|
||||
|
||||
val nextStageId = new AtomicInteger(0)
|
||||
|
||||
val idToStage = new TimeStampedHashMap[Int, Stage]
|
||||
val stageIdToStage = new TimeStampedHashMap[Int, Stage]
|
||||
|
||||
val shuffleToMapStage = new TimeStampedHashMap[Int, Stage]
|
||||
|
||||
|
@ -171,14 +171,14 @@ class DAGScheduler(
|
|||
|
||||
/**
|
||||
* Get or create a shuffle map stage for the given shuffle dependency's map side.
|
||||
* The priority value passed in will be used if the stage doesn't already exist with
|
||||
* a lower priority (we assume that priorities always increase across jobs for now).
|
||||
* The jobId value passed in will be used if the stage doesn't already exist with
|
||||
* a lower jobId (jobId always increases across jobs.)
|
||||
*/
|
||||
private def getShuffleMapStage(shuffleDep: ShuffleDependency[_,_], priority: Int): Stage = {
|
||||
private def getShuffleMapStage(shuffleDep: ShuffleDependency[_,_], jobId: Int): Stage = {
|
||||
shuffleToMapStage.get(shuffleDep.shuffleId) match {
|
||||
case Some(stage) => stage
|
||||
case None =>
|
||||
val stage = newStage(shuffleDep.rdd, Some(shuffleDep), priority)
|
||||
val stage = newStage(shuffleDep.rdd, Some(shuffleDep), jobId)
|
||||
shuffleToMapStage(shuffleDep.shuffleId) = stage
|
||||
stage
|
||||
}
|
||||
|
@ -186,13 +186,13 @@ class DAGScheduler(
|
|||
|
||||
/**
|
||||
* Create a Stage for the given RDD, either as a shuffle map stage (for a ShuffleDependency) or
|
||||
* as a result stage for the final RDD used directly in an action. The stage will also be given
|
||||
* the provided priority.
|
||||
* as a result stage for the final RDD used directly in an action. The stage will also be
|
||||
* associated with the provided jobId.
|
||||
*/
|
||||
private def newStage(
|
||||
rdd: RDD[_],
|
||||
shuffleDep: Option[ShuffleDependency[_,_]],
|
||||
priority: Int,
|
||||
jobId: Int,
|
||||
callSite: Option[String] = None)
|
||||
: Stage =
|
||||
{
|
||||
|
@ -203,17 +203,17 @@ class DAGScheduler(
|
|||
mapOutputTracker.registerShuffle(shuffleDep.get.shuffleId, rdd.partitions.size)
|
||||
}
|
||||
val id = nextStageId.getAndIncrement()
|
||||
val stage = new Stage(id, rdd, shuffleDep, getParentStages(rdd, priority), priority, callSite)
|
||||
idToStage(id) = stage
|
||||
val stage = new Stage(id, rdd, shuffleDep, getParentStages(rdd, jobId), jobId, callSite)
|
||||
stageIdToStage(id) = stage
|
||||
stageToInfos(stage) = StageInfo(stage)
|
||||
stage
|
||||
}
|
||||
|
||||
/**
|
||||
* Get or create the list of parent stages for a given RDD. The stages will be assigned the
|
||||
* provided priority if they haven't already been created with a lower priority.
|
||||
* provided jobId if they haven't already been created with a lower jobId.
|
||||
*/
|
||||
private def getParentStages(rdd: RDD[_], priority: Int): List[Stage] = {
|
||||
private def getParentStages(rdd: RDD[_], jobId: Int): List[Stage] = {
|
||||
val parents = new HashSet[Stage]
|
||||
val visited = new HashSet[RDD[_]]
|
||||
def visit(r: RDD[_]) {
|
||||
|
@ -224,7 +224,7 @@ class DAGScheduler(
|
|||
for (dep <- r.dependencies) {
|
||||
dep match {
|
||||
case shufDep: ShuffleDependency[_,_] =>
|
||||
parents += getShuffleMapStage(shufDep, priority)
|
||||
parents += getShuffleMapStage(shufDep, jobId)
|
||||
case _ =>
|
||||
visit(dep.rdd)
|
||||
}
|
||||
|
@ -245,7 +245,7 @@ class DAGScheduler(
|
|||
for (dep <- rdd.dependencies) {
|
||||
dep match {
|
||||
case shufDep: ShuffleDependency[_,_] =>
|
||||
val mapStage = getShuffleMapStage(shufDep, stage.priority)
|
||||
val mapStage = getShuffleMapStage(shufDep, stage.jobId)
|
||||
if (!mapStage.isAvailable) {
|
||||
missing += mapStage
|
||||
}
|
||||
|
@ -282,7 +282,7 @@ class DAGScheduler(
|
|||
val func2 = func.asInstanceOf[(TaskContext, Iterator[_]) => _]
|
||||
val toSubmit = JobSubmitted(finalRdd, func2, partitions.toArray, allowLocal, callSite, waiter,
|
||||
properties)
|
||||
return (toSubmit, waiter)
|
||||
(toSubmit, waiter)
|
||||
}
|
||||
|
||||
def runJob[T, U: ClassManifest](
|
||||
|
@ -329,8 +329,8 @@ class DAGScheduler(
|
|||
val listener = new ApproximateActionListener(rdd, func, evaluator, timeout)
|
||||
val func2 = func.asInstanceOf[(TaskContext, Iterator[_]) => _]
|
||||
val partitions = (0 until rdd.partitions.size).toArray
|
||||
eventQueue.put(JobSubmitted(rdd, func2, partitions, false, callSite, listener, properties))
|
||||
return listener.awaitResult() // Will throw an exception if the job fails
|
||||
eventQueue.put(JobSubmitted(rdd, func2, partitions, allowLocal = false, callSite, listener, properties))
|
||||
listener.awaitResult() // Will throw an exception if the job fails
|
||||
}
|
||||
|
||||
/**
|
||||
|
@ -340,11 +340,11 @@ class DAGScheduler(
|
|||
private[scheduler] def processEvent(event: DAGSchedulerEvent): Boolean = {
|
||||
event match {
|
||||
case JobSubmitted(finalRDD, func, partitions, allowLocal, callSite, listener, properties) =>
|
||||
val runId = nextRunId.getAndIncrement()
|
||||
val finalStage = newStage(finalRDD, None, runId, Some(callSite))
|
||||
val job = new ActiveJob(runId, finalStage, func, partitions, callSite, listener, properties)
|
||||
val jobId = nextJobId.getAndIncrement()
|
||||
val finalStage = newStage(finalRDD, None, jobId, Some(callSite))
|
||||
val job = new ActiveJob(jobId, finalStage, func, partitions, callSite, listener, properties)
|
||||
clearCacheLocs()
|
||||
logInfo("Got job " + job.runId + " (" + callSite + ") with " + partitions.length +
|
||||
logInfo("Got job " + job.jobId + " (" + callSite + ") with " + partitions.length +
|
||||
" output partitions (allowLocal=" + allowLocal + ")")
|
||||
logInfo("Final stage: " + finalStage + " (" + finalStage.name + ")")
|
||||
logInfo("Parents of final stage: " + finalStage.parents)
|
||||
|
@ -354,7 +354,7 @@ class DAGScheduler(
|
|||
runLocally(job)
|
||||
} else {
|
||||
listenerBus.post(SparkListenerJobStart(job, properties))
|
||||
idToActiveJob(runId) = job
|
||||
idToActiveJob(jobId) = job
|
||||
activeJobs += job
|
||||
resultStageToJob(finalStage) = job
|
||||
submitStage(finalStage)
|
||||
|
@ -375,7 +375,7 @@ class DAGScheduler(
|
|||
handleTaskCompletion(completion)
|
||||
|
||||
case TaskSetFailed(taskSet, reason) =>
|
||||
abortStage(idToStage(taskSet.stageId), reason)
|
||||
abortStage(stageIdToStage(taskSet.stageId), reason)
|
||||
|
||||
case StopDAGScheduler =>
|
||||
// Cancel any active jobs
|
||||
|
@ -386,7 +386,7 @@ class DAGScheduler(
|
|||
}
|
||||
return true
|
||||
}
|
||||
return false
|
||||
false
|
||||
}
|
||||
|
||||
/**
|
||||
|
@ -398,7 +398,7 @@ class DAGScheduler(
|
|||
clearCacheLocs()
|
||||
val failed2 = failed.toArray
|
||||
failed.clear()
|
||||
for (stage <- failed2.sortBy(_.priority)) {
|
||||
for (stage <- failed2.sortBy(_.jobId)) {
|
||||
submitStage(stage)
|
||||
}
|
||||
}
|
||||
|
@ -416,7 +416,7 @@ class DAGScheduler(
|
|||
logTrace("failed: " + failed)
|
||||
val waiting2 = waiting.toArray
|
||||
waiting.clear()
|
||||
for (stage <- waiting2.sortBy(_.priority)) {
|
||||
for (stage <- waiting2.sortBy(_.jobId)) {
|
||||
submitStage(stage)
|
||||
}
|
||||
}
|
||||
|
@ -463,7 +463,7 @@ class DAGScheduler(
|
|||
*/
|
||||
protected def runLocally(job: ActiveJob) {
|
||||
logInfo("Computing the requested partition locally")
|
||||
new Thread("Local computation of job " + job.runId) {
|
||||
new Thread("Local computation of job " + job.jobId) {
|
||||
override def run() {
|
||||
runLocallyWithinThread(job)
|
||||
}
|
||||
|
@ -531,7 +531,7 @@ class DAGScheduler(
|
|||
}
|
||||
// must be run listener before possible NotSerializableException
|
||||
// should be "StageSubmitted" first and then "JobEnded"
|
||||
val properties = idToActiveJob(stage.priority).properties
|
||||
val properties = idToActiveJob(stage.jobId).properties
|
||||
listenerBus.post(SparkListenerStageSubmitted(stage, tasks.size, properties))
|
||||
|
||||
if (tasks.size > 0) {
|
||||
|
@ -552,7 +552,7 @@ class DAGScheduler(
|
|||
myPending ++= tasks
|
||||
logDebug("New pending tasks: " + myPending)
|
||||
taskSched.submitTasks(
|
||||
new TaskSet(tasks.toArray, stage.id, stage.newAttemptId(), stage.priority, properties))
|
||||
new TaskSet(tasks.toArray, stage.id, stage.newAttemptId(), stage.jobId, properties))
|
||||
if (!stage.submissionTime.isDefined) {
|
||||
stage.submissionTime = Some(System.currentTimeMillis())
|
||||
}
|
||||
|
@ -569,7 +569,7 @@ class DAGScheduler(
|
|||
*/
|
||||
private def handleTaskCompletion(event: CompletionEvent) {
|
||||
val task = event.task
|
||||
val stage = idToStage(task.stageId)
|
||||
val stage = stageIdToStage(task.stageId)
|
||||
|
||||
def markStageAsFinished(stage: Stage) = {
|
||||
val serviceTime = stage.submissionTime match {
|
||||
|
@ -598,7 +598,7 @@ class DAGScheduler(
|
|||
job.numFinished += 1
|
||||
// If the whole job has finished, remove it
|
||||
if (job.numFinished == job.numPartitions) {
|
||||
idToActiveJob -= stage.priority
|
||||
idToActiveJob -= stage.jobId
|
||||
activeJobs -= job
|
||||
resultStageToJob -= stage
|
||||
markStageAsFinished(stage)
|
||||
|
@ -635,7 +635,7 @@ class DAGScheduler(
|
|||
mapOutputTracker.registerMapOutputs(
|
||||
stage.shuffleDep.get.shuffleId,
|
||||
stage.outputLocs.map(list => if (list.isEmpty) null else list.head).toArray,
|
||||
true)
|
||||
changeGeneration = true)
|
||||
}
|
||||
clearCacheLocs()
|
||||
if (stage.outputLocs.count(_ == Nil) != 0) {
|
||||
|
@ -669,7 +669,7 @@ class DAGScheduler(
|
|||
|
||||
case FetchFailed(bmAddress, shuffleId, mapId, reduceId) =>
|
||||
// Mark the stage that the reducer was in as unrunnable
|
||||
val failedStage = idToStage(task.stageId)
|
||||
val failedStage = stageIdToStage(task.stageId)
|
||||
running -= failedStage
|
||||
failed += failedStage
|
||||
// TODO: Cancel running tasks in the stage
|
||||
|
@ -697,7 +697,7 @@ class DAGScheduler(
|
|||
|
||||
case other =>
|
||||
// Unrecognized failure - abort all jobs depending on this stage
|
||||
abortStage(idToStage(task.stageId), task + " failed: " + other)
|
||||
abortStage(stageIdToStage(task.stageId), task + " failed: " + other)
|
||||
}
|
||||
}
|
||||
|
||||
|
@ -718,7 +718,7 @@ class DAGScheduler(
|
|||
for ((shuffleId, stage) <- shuffleToMapStage) {
|
||||
stage.removeOutputsOnExecutor(execId)
|
||||
val locs = stage.outputLocs.map(list => if (list.isEmpty) null else list.head).toArray
|
||||
mapOutputTracker.registerMapOutputs(shuffleId, locs, true)
|
||||
mapOutputTracker.registerMapOutputs(shuffleId, locs, changeGeneration = true)
|
||||
}
|
||||
if (shuffleToMapStage.isEmpty) {
|
||||
mapOutputTracker.incrementEpoch()
|
||||
|
@ -750,7 +750,7 @@ class DAGScheduler(
|
|||
val error = new SparkException("Job failed: " + reason)
|
||||
job.listener.jobFailed(error)
|
||||
listenerBus.post(SparkListenerJobEnd(job, JobFailed(error, Some(failedStage))))
|
||||
idToActiveJob -= resultStage.priority
|
||||
idToActiveJob -= resultStage.jobId
|
||||
activeJobs -= job
|
||||
resultStageToJob -= resultStage
|
||||
}
|
||||
|
@ -774,7 +774,7 @@ class DAGScheduler(
|
|||
for (dep <- rdd.dependencies) {
|
||||
dep match {
|
||||
case shufDep: ShuffleDependency[_,_] =>
|
||||
val mapStage = getShuffleMapStage(shufDep, stage.priority)
|
||||
val mapStage = getShuffleMapStage(shufDep, stage.jobId)
|
||||
if (!mapStage.isAvailable) {
|
||||
visitedStages += mapStage
|
||||
visit(mapStage.rdd)
|
||||
|
@ -812,13 +812,13 @@ class DAGScheduler(
|
|||
}
|
||||
case _ =>
|
||||
})
|
||||
return Nil
|
||||
Nil
|
||||
}
|
||||
|
||||
private def cleanup(cleanupTime: Long) {
|
||||
var sizeBefore = idToStage.size
|
||||
idToStage.clearOldValues(cleanupTime)
|
||||
logInfo("idToStage " + sizeBefore + " --> " + idToStage.size)
|
||||
var sizeBefore = stageIdToStage.size
|
||||
stageIdToStage.clearOldValues(cleanupTime)
|
||||
logInfo("stageIdToStage " + sizeBefore + " --> " + stageIdToStage.size)
|
||||
|
||||
sizeBefore = shuffleToMapStage.size
|
||||
shuffleToMapStage.clearOldValues(cleanupTime)
|
||||
|
|
|
@ -21,7 +21,7 @@ private[spark] class DAGSchedulerSource(val dagScheduler: DAGScheduler) extends
|
|||
})
|
||||
|
||||
metricRegistry.register(MetricRegistry.name("job", "allJobs", "number"), new Gauge[Int] {
|
||||
override def getValue: Int = dagScheduler.nextRunId.get()
|
||||
override def getValue: Int = dagScheduler.nextJobId.get()
|
||||
})
|
||||
|
||||
metricRegistry.register(MetricRegistry.name("job", "activeJobs", "number"), new Gauge[Int] {
|
||||
|
|
|
@ -102,7 +102,7 @@ class JobLogger(val logDirName: String) extends SparkListener with Logging {
|
|||
stageIDToJobID.get(stageID).foreach(jobID => jobLogInfo(jobID, info, withTime))
|
||||
|
||||
protected def buildJobDep(jobID: Int, stage: Stage) {
|
||||
if (stage.priority == jobID) {
|
||||
if (stage.jobId == jobID) {
|
||||
jobIDToStages.get(jobID) match {
|
||||
case Some(stageList) => stageList += stage
|
||||
case None => val stageList = new ListBuffer[Stage]
|
||||
|
@ -178,12 +178,12 @@ class JobLogger(val logDirName: String) extends SparkListener with Logging {
|
|||
}else{
|
||||
stageInfo = "STAGE_ID=" + stage.id + " RESULT_STAGE"
|
||||
}
|
||||
if (stage.priority == jobID) {
|
||||
if (stage.jobId == jobID) {
|
||||
jobLogInfo(jobID, indentString(indent) + stageInfo, false)
|
||||
recordRddInStageGraph(jobID, stage.rdd, indent)
|
||||
stage.parents.foreach(recordStageDepGraph(jobID, _, indent + 2))
|
||||
} else
|
||||
jobLogInfo(jobID, indentString(indent) + stageInfo + " JOB_ID=" + stage.priority, false)
|
||||
jobLogInfo(jobID, indentString(indent) + stageInfo + " JOB_ID=" + stage.jobId, false)
|
||||
}
|
||||
|
||||
// Record task metrics into job log files
|
||||
|
@ -260,7 +260,7 @@ class JobLogger(val logDirName: String) extends SparkListener with Logging {
|
|||
|
||||
override def onJobEnd(jobEnd: SparkListenerJobEnd) {
|
||||
val job = jobEnd.job
|
||||
var info = "JOB_ID=" + job.runId
|
||||
var info = "JOB_ID=" + job.jobId
|
||||
jobEnd.jobResult match {
|
||||
case JobSucceeded => info += " STATUS=SUCCESS"
|
||||
case JobFailed(exception, _) =>
|
||||
|
@ -268,8 +268,8 @@ class JobLogger(val logDirName: String) extends SparkListener with Logging {
|
|||
exception.getMessage.split("\\s+").foreach(info += _ + "_")
|
||||
case _ =>
|
||||
}
|
||||
jobLogInfo(job.runId, info.substring(0, info.length - 1).toUpperCase)
|
||||
closeLogWriter(job.runId)
|
||||
jobLogInfo(job.jobId, info.substring(0, info.length - 1).toUpperCase)
|
||||
closeLogWriter(job.jobId)
|
||||
}
|
||||
|
||||
protected def recordJobProperties(jobID: Int, properties: Properties) {
|
||||
|
@ -282,11 +282,11 @@ class JobLogger(val logDirName: String) extends SparkListener with Logging {
|
|||
override def onJobStart(jobStart: SparkListenerJobStart) {
|
||||
val job = jobStart.job
|
||||
val properties = jobStart.properties
|
||||
createLogWriter(job.runId)
|
||||
recordJobProperties(job.runId, properties)
|
||||
buildJobDep(job.runId, job.finalStage)
|
||||
recordStageDep(job.runId)
|
||||
recordStageDepGraph(job.runId, job.finalStage)
|
||||
jobLogInfo(job.runId, "JOB_ID=" + job.runId + " STATUS=STARTED")
|
||||
createLogWriter(job.jobId)
|
||||
recordJobProperties(job.jobId, properties)
|
||||
buildJobDep(job.jobId, job.finalStage)
|
||||
recordStageDep(job.jobId)
|
||||
recordStageDepGraph(job.jobId, job.finalStage)
|
||||
jobLogInfo(job.jobId, "JOB_ID=" + job.jobId + " STATUS=STARTED")
|
||||
}
|
||||
}
|
||||
|
|
|
@ -33,15 +33,16 @@ import spark.storage.BlockManagerId
|
|||
* initiated a job (e.g. count(), save(), etc). For shuffle map stages, we also track the nodes
|
||||
* that each output partition is on.
|
||||
*
|
||||
* Each Stage also has a priority, which is (by default) based on the job it was submitted in.
|
||||
* This allows Stages from earlier jobs to be computed first or recovered faster on failure.
|
||||
* Each Stage also has a jobId, identifying the job that first submitted the stage. When FIFO
|
||||
* scheduling is used, this allows Stages from earlier jobs to be computed first or recovered
|
||||
* faster on failure.
|
||||
*/
|
||||
private[spark] class Stage(
|
||||
val id: Int,
|
||||
val rdd: RDD[_],
|
||||
val shuffleDep: Option[ShuffleDependency[_,_]], // Output shuffle if stage is a map stage
|
||||
val parents: List[Stage],
|
||||
val priority: Int,
|
||||
val jobId: Int,
|
||||
callSite: Option[String])
|
||||
extends Logging {
|
||||
|
||||
|
|
Loading…
Reference in a new issue