您好,登錄后才能下訂單哦!
我的Spark源碼核心SparkContext走讀全紀(jì)錄
Dirver Program(SparkConf) package org.apache.spark.SparkConf
Master package org.apache.spark.deploy.master
SparkContext package org.apache.spark.SparkContext
Stage package org.apache.spark.scheduler.Stage
Task package org.apache.spark.scheduler.Task
DAGScheduler package org.apache.spark.scheduler
TaskScheduler package org.apache.spark.scheduler.TaskScheduler
TaskSchedulerImpl package org.apache.spark.scheduler
Worker package org.apache.spark.deploy.worker
Executor package org.apache.spark.executor
BlockManager package org.apache.spark.storage
TaskSet package org.apache.spark.scheduler
//初始化后開始創(chuàng)建
// Create and start the scheduler
val (sched, ts) = SparkContext.createTaskScheduler(this, master)
_schedulerBackend = sched
_taskScheduler = ts
_dagScheduler = new DAGScheduler(this)
_heartbeatReceiver.send(TaskSchedulerIsSet)
/**
* Create a task scheduler based on a given master URL.
* Return a 2-tuple of the scheduler backend and the task scheduler.
*/
private def createTaskScheduler(
sc: SparkContext,
master: String): (SchedulerBackend, TaskScheduler) = {
master match {
case "local" =>
實(shí)例化一個(gè)
val scheduler = new TaskSchedulerImpl(sc)
構(gòu)建masterUrls:
val masterUrls = localCluster.start()
據(jù)說是非常關(guān)鍵的backend:
val backend = new SparkDeploySchedulerBackend(scheduler, sc, masterUrls)
scheduler.initialize(backend)
backend.shutdownCallback = (backend: SparkDeploySchedulerBackend) => {
localCluster.stop()
}
(backend, scheduler)
免責(zé)聲明:本站發(fā)布的內(nèi)容(圖片、視頻和文字)以原創(chuàng)、轉(zhuǎn)載和分享為主,文章觀點(diǎn)不代表本網(wǎng)站立場,如果涉及侵權(quán)請聯(lián)系站長郵箱:is@yisu.com進(jìn)行舉報(bào),并提供相關(guān)證據(jù),一經(jīng)查實(shí),將立刻刪除涉嫌侵權(quán)內(nèi)容。