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本篇內(nèi)容介紹了“YarnClusterManager有什么作用”的有關(guān)知識(shí),在實(shí)際案例的操作過(guò)程中,不少人都會(huì)遇到這樣的困境,接下來(lái)就讓小編帶領(lǐng)大家學(xué)習(xí)一下如何處理這些情況吧!希望大家仔細(xì)閱讀,能夠?qū)W有所成!
YarnClusterManager很關(guān)鍵,它決定了Yarn集群下使用什么TaskScheduler,以及使用什么SchedulerBackend。
代碼不多,直接看代碼就可以了:
private[spark] class YarnClusterManager extends ExternalClusterManager { override def canCreate(masterURL: String): Boolean = { masterURL == "yarn" } override def createTaskScheduler(sc: SparkContext, masterURL: String): TaskScheduler = { sc.deployMode match { case "cluster" => new YarnClusterScheduler(sc) case "client" => new YarnScheduler(sc) case _ => throw new SparkException(s"Unknown deploy mode '${sc.deployMode}' for Yarn") } } override def createSchedulerBackend(sc: SparkContext, masterURL: String, scheduler: TaskScheduler): SchedulerBackend = { sc.deployMode match { case "cluster" => new YarnClusterSchedulerBackend(scheduler.asInstanceOf[TaskSchedulerImpl], sc) case "client" => new YarnClientSchedulerBackend(scheduler.asInstanceOf[TaskSchedulerImpl], sc) case _ => throw new SparkException(s"Unknown deploy mode '${sc.deployMode}' for Yarn") } } override def initialize(scheduler: TaskScheduler, backend: SchedulerBackend): Unit = { scheduler.asInstanceOf[TaskSchedulerImpl].initialize(backend) } }
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