spark JobSet 源码
spark JobSet 代码
文件路径：/streaming/src/main/scala/org/apache/spark/streaming/scheduler/JobSet.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.streaming.scheduler
import scala.collection.mutable.HashSet
import org.apache.spark.streaming.Time
/**
* Class representing a set of Jobs
* belong to the same batch.
*/
private[streaming]
case class JobSet(
time: Time,
jobs: Seq[Job],
streamIdToInputInfo: Map[Int, StreamInputInfo] = Map.empty) {
private val incompleteJobs = new HashSet[Job]()
private val submissionTime = System.currentTimeMillis() // when this jobset was submitted
private var processingStartTime = -1L // when the first job of this jobset started processing
private var processingEndTime = -1L // when the last job of this jobset finished processing
jobs.zipWithIndex.foreach { case (job, i) => job.setOutputOpId(i) }
incompleteJobs ++= jobs
def handleJobStart(job: Job): Unit = {
if (processingStartTime < 0) processingStartTime = System.currentTimeMillis()
}
def handleJobCompletion(job: Job): Unit = {
incompleteJobs -= job
if (hasCompleted) processingEndTime = System.currentTimeMillis()
}
def hasStarted: Boolean = processingStartTime > 0
def hasCompleted: Boolean = incompleteJobs.isEmpty
// Time taken to process all the jobs from the time they started processing
// (i.e. not including the time they wait in the streaming scheduler queue)
def processingDelay: Long = processingEndTime - processingStartTime
// Time taken to process all the jobs from the time they were submitted
// (i.e. including the time they wait in the streaming scheduler queue)
def totalDelay: Long = processingEndTime - time.milliseconds
def toBatchInfo: BatchInfo = {
BatchInfo(
time,
streamIdToInputInfo,
submissionTime,
if (hasStarted) Some(processingStartTime) else None,
if (hasCompleted) Some(processingEndTime) else None,
jobs.map { job => (job.outputOpId, job.toOutputOperationInfo) }.toMap
)
}
}
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