Apache Spark YARN

import org.apache.spark.deploy.yarn.{Client, ClientArguments, YarnAllocator}
import org.apache.spark.scheduler.cluster.{YarnClusterManager, SchedulerExtensionService, SchedulerExtensionServiceBinding}
import org.apache.spark.deploy.yarn.security.ServiceCredentialProvider
import org.apache.hadoop.conf.Configuration
import org.apache.hadoop.yarn.conf.YarnConfiguration
import org.apache.hadoop.security.Credentials
import org.apache.hadoop.yarn.api.records.{ApplicationId, ApplicationAttemptId, Container, ContainerRequest}
import org.apache.hadoop.yarn.client.api.AMRMClient
import org.apache.spark.util.Clock

import org.apache.spark.network.yarn.YarnShuffleService;
import org.apache.hadoop.yarn.server.api.ApplicationInitializationContext;
import org.apache.hadoop.yarn.server.api.ApplicationTerminationContext;

import org.apache.spark.{SparkConf, SparkContext}

// Configure Spark for YARN client mode
val conf = new SparkConf()
  .setAppName("MyApp")
  .setMaster("yarn")
  .set("spark.submit.deployMode", "client")
  .set("spark.yarn.queue", "default")

val sc = new SparkContext(conf)
// Use SparkContext normally
sc.stop()

import org.apache.spark.{SparkConf, SparkContext}

// Configure Spark for YARN cluster mode  
val conf = new SparkConf()
  .setAppName("MyApp")
  .setMaster("yarn")
  .set("spark.submit.deployMode", "cluster")
  .set("spark.yarn.queue", "production")

val sc = new SparkContext(conf)
// Use SparkContext normally
sc.stop()

import org.apache.spark.deploy.yarn.{Client, ClientArguments}
import org.apache.spark.SparkConf

val sparkConf = new SparkConf()
  .setAppName("MyYarnApp")
  .set("spark.yarn.queue", "default")

val args = Array(
  "--jar", "/path/to/my-app.jar",
  "--class", "com.example.MyMainClass"
)

val clientArgs = new ClientArguments(args)
val client = new Client(clientArgs, sparkConf)

val applicationId = client.submitApplication()
println(s"Application submitted with ID: $applicationId")

class YarnClusterManager extends ExternalClusterManager {
  def canCreate(masterURL: String): Boolean
  def createTaskScheduler(sc: SparkContext, masterURL: String): TaskScheduler
  def createSchedulerBackend(sc: SparkContext, masterURL: String, scheduler: TaskScheduler): SchedulerBackend
  def initialize(scheduler: TaskScheduler, backend: SchedulerBackend): Unit
}

class Client(args: ClientArguments, sparkConf: SparkConf) {
  def submitApplication(): ApplicationId
  def run(): Unit
  def stop(): Unit
  def monitorApplication(appId: ApplicationId, returnOnRunning: Boolean, logApplicationReport: Boolean): YarnAppReport
  def getApplicationReport(appId: ApplicationId): ApplicationReport
}

class YarnAllocator(
  driverUrl: String,
  driverRef: RpcEndpointRef,
  conf: YarnConfiguration,
  sparkConf: SparkConf,
  amClient: AMRMClient[ContainerRequest],
  appAttemptId: ApplicationAttemptId,
  securityMgr: SecurityManager,
  localResources: Map[String, LocalResource],
  resolver: SparkRackResolver,
  clock: Clock = new SystemClock()
) {
  def getNumExecutorsRunning: Int
  def getNumExecutorsFailed: Int
  def numContainersPendingAllocate: Int
  def allocateResources(): Unit
  def killExecutor(executorId: String): Unit
  def stop(): Unit
}

public class YarnShuffleService extends AuxiliaryService {
  protected void serviceInit(Configuration conf) throws Exception;
  protected void serviceStart() throws Exception;
  protected void serviceStop() throws Exception;
  public void initializeApplication(ApplicationInitializationContext context) throws Exception;
  public void stopApplication(ApplicationTerminationContext context) throws Exception;
}

trait ServiceCredentialProvider {
  def serviceName: String
  def credentialsRequired(hadoopConf: Configuration): Boolean
  def obtainCredentials(hadoopConf: Configuration, sparkConf: SparkConf, creds: Credentials): Option[Long]
}

trait SchedulerExtensionService {
  def start(binding: SchedulerExtensionServiceBinding): Unit
  def stop(): Unit
}

// Key configuration entries
val APPLICATION_TAGS: ConfigEntry[Seq[String]]
val MAX_APP_ATTEMPTS: ConfigEntry[Int] 
val QUEUE_NAME: ConfigEntry[String]
val SPARK_ARCHIVE: OptionalConfigEntry[String]
val USER_CLASS_PATH_FIRST: ConfigEntry[Boolean]

object YarnSparkHadoopUtil {
  def addPathToEnvironment(env: HashMap[String, String], key: String, value: String): Unit
  val MEMORY_OVERHEAD_FACTOR: Double
  val MEMORY_OVERHEAD_MIN: Long  
  val RM_REQUEST_PRIORITY: Priority
}

object YarnCommandBuilderUtils {
  def quoteForBatchScript(arg: String): String
  def findJarsDir(sparkHome: String): String
}

import org.apache.spark.deploy.yarn.security.ServiceCredentialProvider

class MyCredentialProvider extends ServiceCredentialProvider {
  override def serviceName: String = "my-service"
  
  override def credentialsRequired(hadoopConf: Configuration): Boolean = {
    // Check if credentials are needed
    hadoopConf.get("my.service.enabled", "false").toBoolean
  }
  
  override def obtainCredentials(
      hadoopConf: Configuration, 
      sparkConf: SparkConf, 
      creds: Credentials): Option[Long] = {
    // Obtain and add credentials
    // Return renewal time in milliseconds, or None if no renewal needed
    None
  }
}

import org.apache.spark.scheduler.cluster.SchedulerExtensionService

class MySchedulerExtension extends SchedulerExtensionService {
  override def start(binding: SchedulerExtensionServiceBinding): Unit = {
    // Initialize extension with access to scheduler components
  }
  
  override def stop(): Unit = {
    // Cleanup extension resources
  }
}