org.apache.spark.SparkStatusTracker.scala Maven / Gradle / Ivy
/*
* 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
/**
* Low-level status reporting APIs for monitoring job and stage progress.
*
* These APIs intentionally provide very weak consistency semantics; consumers of these APIs should
* be prepared to handle empty / missing information. For example, a job's stage ids may be known
* but the status API may not have any information about the details of those stages, so
* `getStageInfo` could potentially return `None` for a valid stage id.
*
* To limit memory usage, these APIs only provide information on recent jobs / stages. These APIs
* will provide information for the last `spark.ui.retainedStages` stages and
* `spark.ui.retainedJobs` jobs.
*
* NOTE: this class's constructor should be considered private and may be subject to change.
*/
class SparkStatusTracker private[spark] (sc: SparkContext) {
private val jobProgressListener = sc.jobProgressListener
/**
* Return a list of all known jobs in a particular job group. If `jobGroup` is `null`, then
* returns all known jobs that are not associated with a job group.
*
* The returned list may contain running, failed, and completed jobs, and may vary across
* invocations of this method. This method does not guarantee the order of the elements in
* its result.
*/
def getJobIdsForGroup(jobGroup: String): Array[Int] = {
jobProgressListener.synchronized {
jobProgressListener.jobGroupToJobIds.getOrElse(jobGroup, Seq.empty).toArray
}
}
/**
* Returns an array containing the ids of all active stages.
*
* This method does not guarantee the order of the elements in its result.
*/
def getActiveStageIds(): Array[Int] = {
jobProgressListener.synchronized {
jobProgressListener.activeStages.values.map(_.stageId).toArray
}
}
/**
* Returns an array containing the ids of all active jobs.
*
* This method does not guarantee the order of the elements in its result.
*/
def getActiveJobIds(): Array[Int] = {
jobProgressListener.synchronized {
jobProgressListener.activeJobs.values.map(_.jobId).toArray
}
}
/**
* Returns job information, or `None` if the job info could not be found or was garbage collected.
*/
def getJobInfo(jobId: Int): Option[SparkJobInfo] = {
jobProgressListener.synchronized {
jobProgressListener.jobIdToData.get(jobId).map { data =>
new SparkJobInfoImpl(jobId, data.stageIds.toArray, data.status)
}
}
}
/**
* Returns stage information, or `None` if the stage info could not be found or was
* garbage collected.
*/
def getStageInfo(stageId: Int): Option[SparkStageInfo] = {
jobProgressListener.synchronized {
for (
info <- jobProgressListener.stageIdToInfo.get(stageId);
data <- jobProgressListener.stageIdToData.get((stageId, info.attemptId))
) yield {
new SparkStageInfoImpl(
stageId,
info.attemptId,
info.submissionTime.getOrElse(0),
info.name,
info.numTasks,
data.numActiveTasks,
data.numCompleteTasks,
data.numFailedTasks)
}
}
}
}