Github user tgravescs commented on a diff in the pull request:
https://github.com/apache/spark/pull/2350#discussion_r17400958
--- Diff:
yarn/alpha/src/main/scala/org/apache/spark/deploy/yarn/Client.scala ---
@@ -45,120 +46,97 @@ class Client(clientArgs: ClientArguments, hadoopConf:
Configuration, spConf: Spa
def this(clientArgs: ClientArguments) = this(clientArgs, new SparkConf())
- val args = clientArgs
- val conf = hadoopConf
- val sparkConf = spConf
- var rpc: YarnRPC = YarnRPC.create(conf)
- val yarnConf: YarnConfiguration = new YarnConfiguration(conf)
+ val yarnConf: YarnConfiguration = new YarnConfiguration(hadoopConf)
+ /*
-------------------------------------------------------------------------------------
*
+ | The following methods have much in common in the stable and alpha
versions of Client, |
+ | but cannot be implemented in the parent trait due to subtle API
differences across |
+ | hadoop versions.
|
+ *
-------------------------------------------------------------------------------------
*/
- // for client user who want to monitor app status by itself.
- def runApp() = {
- validateArgs()
-
+ /** Submit an application running our ApplicationMaster to the
ResourceManager. */
+ override def submitApplication(): ApplicationId = {
init(yarnConf)
start()
- logClusterResourceDetails()
- val newApp = super.getNewApplication()
- val appId = newApp.getApplicationId()
+ logInfo("Requesting a new application from cluster with %d
NodeManagers"
+ .format(getYarnClusterMetrics.getNumNodeManagers))
- verifyClusterResources(newApp)
- val appContext = createApplicationSubmissionContext(appId)
- val appStagingDir = getAppStagingDir(appId)
- val localResources = prepareLocalResources(appStagingDir)
- val env = setupLaunchEnv(localResources, appStagingDir)
- val amContainer = createContainerLaunchContext(newApp, localResources,
env)
+ // Get a new application from our RM
+ val newAppResponse = getNewApplication()
+ val appId = newAppResponse.getApplicationId()
- val capability =
Records.newRecord(classOf[Resource]).asInstanceOf[Resource]
- // Memory for the ApplicationMaster.
- capability.setMemory(args.amMemory + memoryOverhead)
- amContainer.setResource(capability)
+ // Verify whether the cluster has enough resources for our AM
+ verifyClusterResources(newAppResponse)
- appContext.setQueue(args.amQueue)
- appContext.setAMContainerSpec(amContainer)
-
appContext.setUser(UserGroupInformation.getCurrentUser().getShortUserName())
+ // Set up the appropriate contexts to launch our AM
+ val containerContext = createContainerLaunchContext(newAppResponse)
+ val appContext = createApplicationSubmissionContext(appId,
containerContext)
- submitApp(appContext)
+ // Finally, submit and monitor the application
+ logInfo(s"Submitting application ${appId.getId} to ResourceManager")
+ submitApplication(appContext)
appId
}
- def run() {
- val appId = runApp()
- monitorApplication(appId)
+ /**
+ * Set up a context for launching our ApplicationMaster container.
+ * In the Yarn alpha API, the memory requirements of this container must
be set in
+ * the ContainerLaunchContext instead of the
ApplicationSubmissionContext.
+ */
+ override def createContainerLaunchContext(newAppResponse:
GetNewApplicationResponse)
+ : ContainerLaunchContext = {
+ val containerContext =
super.createContainerLaunchContext(newAppResponse)
+ val capability = Records.newRecord(classOf[Resource])
+ capability.setMemory(getAMMemory(newAppResponse) + amMemoryOverhead)
+ containerContext.setResource(capability)
+ containerContext
}
- def logClusterResourceDetails() {
- val clusterMetrics: YarnClusterMetrics = super.getYarnClusterMetrics
- logInfo("Got cluster metric info from ASM, numNodeManagers = " +
- clusterMetrics.getNumNodeManagers)
- }
-
-
- def createApplicationSubmissionContext(appId: ApplicationId):
ApplicationSubmissionContext = {
- logInfo("Setting up application submission context for ASM")
+ /** Set up the context for submitting our ApplicationMaster. */
+ def createApplicationSubmissionContext(
+ appId: ApplicationId,
+ containerContext: ContainerLaunchContext):
ApplicationSubmissionContext = {
val appContext =
Records.newRecord(classOf[ApplicationSubmissionContext])
appContext.setApplicationId(appId)
appContext.setApplicationName(args.appName)
+ appContext.setQueue(args.amQueue)
+ appContext.setAMContainerSpec(containerContext)
+
appContext.setUser(UserGroupInformation.getCurrentUser.getShortUserName)
appContext
}
- def calculateAMMemory(newApp: GetNewApplicationResponse): Int = {
- val minResMemory = newApp.getMinimumResourceCapability().getMemory()
- val amMemory = ((args.amMemory / minResMemory) * minResMemory) +
- ((if ((args.amMemory % minResMemory) == 0) 0 else minResMemory) -
- memoryOverhead)
- amMemory
- }
-
- def setupSecurityToken(amContainer: ContainerLaunchContext) = {
- // Setup security tokens.
+ /**
+ * Set up security tokens for launching our ApplicationMaster container.
+ * ContainerLaunchContext#setContainerTokens is renamed `setTokens` in
the stable API.
+ */
+ override def setupSecurityToken(amContainer: ContainerLaunchContext):
Unit = {
val dob = new DataOutputBuffer()
credentials.writeTokenStorageToStream(dob)
amContainer.setContainerTokens(ByteBuffer.wrap(dob.getData()))
}
- def submitApp(appContext: ApplicationSubmissionContext) = {
- // Submit the application to the applications manager.
- logInfo("Submitting application to ASM")
- super.submitApplication(appContext)
+ /**
+ * Return the amount of memory for launching the ApplicationMaster
container (MB).
+ * GetNewApplicationResponse#getMinimumResourceCapability does not exist
in the stable API.
+ */
+ override def getAMMemory(newAppResponse: GetNewApplicationResponse): Int
= {
+ val minResMemory =
newAppResponse.getMinimumResourceCapability().getMemory()
+ val amMemory = ((args.amMemory / minResMemory) * minResMemory) +
+ ((if ((args.amMemory % minResMemory) == 0) 0 else minResMemory) -
amMemoryOverhead)
+ amMemory
--- End diff --
see https://github.com/apache/spark/pull/2253
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