master和worker之間rpc源碼及重點(diǎn)方法

MasterWorkerRPC源碼及重點(diǎn)方法valvalshuffledAliveWorkers=Random.shuffle(workers.toSeq.filter(_.statevalvalnumWorkersAlive=for(driver<-waitingDrivers.toList){//iterateoveracopyofvarlaunched=varnumWorkersVisited=while(numWorkersVisited<numWorkersAlive&&!launched)valworker=numWorkersVisited+=if(worker.memoryFree>=driver.desc.mem&&worker.coresFreedriver.desc.cores)launchDriver(worker,waitingDrivers-=launched=}curPos=(curPos+1)%}} privatedeflaunchDriver(worker:WorkerInfo,driver:DriverInfo)logInfo("Launchingdriver"+driver.id+"onworker"+driver.worker=worker.endpoind(LaunchDriver(driver.id,driver.desc))//此desc就}}driver.state=valcoresPerExecutor:Option[Int]=//Filteroutworkersthatdon'thaveenoughresourcestolaunchanvalusableWorkers=workers.toArray.filter(_.state==.filter(worker=>worker.memoryFree>=app.desc.memoryPerExecutorMB&&worker.coresFree>=coresPerExecutetOrElse(1))valassignedCores=scheduleExecutorsOnWorkers(app,usableWorkers,for(pos<-0untilusableWorkers.lengthifassignedCores(pos)>0)app,assignedCores(pos),coresPerExecutor,}LaunchExecutor有兩種方法。第一種策略是將應(yīng)用的Executor盡可能的分散到各個(gè)Workerworker。第一種是默認(rèn)方法，有利于數(shù)據(jù)Executorworker只會(huì)加載運(yùn)行Executorapp。valcoresPerExecutor=valminCoresPerExecutor=coresPerExecutetOrElse(1)valoneExecutorPerWorker=coresPerExecutor.isEmptyvalmemoryPerExecutor=valnumUsable=valassignedCores=newArray[Int](numUsable)//NumberofcorestogivetovalassignedExecutors=newArray[Int](numUsable)//NumberofnewexecutorsonvarcoresToAssign=math.min(app.coresLeft,assignedCoresworkerassignedExecutorsworkerExecutorcoresToAssigncorescoreworkercoredefcanLaunchExecutor(pos:Int):Boolean=valkeepScheduling=coresToAssign>=valenoughCores=usableWorkers(pos).coresFree-assignedCores(pos)//Ifweallowmultipleexecutorsperworker,thenwecwayslaunchnew//Otherwise,ifthereisalreadyanexecutoronthisworker,justgiveitvallaunchingNewExecutor=!oneExecutorPerWorker||assignedExecutors(pos)==if(launchingNewExecutor)valassignedMemory=assignedExecutors(pos)*valenoughMemory=usableWorkers(pos).memoryFree-assignedMemoryvalunderLimit=assignedExecutors.sum+app.executors.sizekeepScheduling&&enoughCores&&enoughMemory&&}else//We'readdingcorestoanexistingexecutor,sono//tocheckmemoryandexecutorkeepScheduling&&}}varfreeWorkers=(0untilwhile(freeWorkers.nonEmpty)freeWorkers.foreach{posvarkeepScheduling=while(keepScheduling&&canLaunchExecutor(pos))coresToAssign-=assignedCores(pos)+=1//totheexecutor.Otherwise,everyiterationassignscorestoaif(oneExecutorPerWorker)assignedExecutors(pos)=}elseassignedExecutors(pos)+=}//Spreadingoutanapplicationmeansspreadingoutitsexecutors//manyworkersaspossible.Ifwearenotspreadingout,thenwe//schedulingexecutorsonthisworkeruntilweuseallofits//Otherwise,justmoveontothenextif(spreadOutApps)keepScheduling=}}}freeWorkers=}}privateprivatedefapp:app:assignedCores:coresPerExecutor:worker:WorkerInfo):Unit=//tothisworkerevenlyamongtheexecutorswithnovalnumExecutors=coresPerExecutor.map{assignedCores