[Spark-21842][Mesos] Support Kerberos ticket renewal and creation in Mesos #19272
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| /* | ||
| * Licensed to the Apache Software Foundation (ASF) under one or more | ||
| * contributor license agreements. See the NOTICE file distributed with | ||
| * this work for additional information regarding copyright ownership. | ||
| * The ASF licenses this file to You under the Apache License, Version 2.0 | ||
| * (the "License"); you may not use this file except in compliance with | ||
| * the License. You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
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| package org.apache.spark.scheduler.cluster.mesos | ||
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| import java.security.PrivilegedExceptionAction | ||
| import java.util.concurrent.{ScheduledExecutorService, TimeUnit} | ||
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| import org.apache.hadoop.conf.Configuration | ||
| import org.apache.hadoop.security.UserGroupInformation | ||
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| import org.apache.spark.SparkConf | ||
| import org.apache.spark.deploy.SparkHadoopUtil | ||
| import org.apache.spark.deploy.security.HadoopDelegationTokenManager | ||
| import org.apache.spark.internal.{config, Logging} | ||
| import org.apache.spark.rpc.RpcEndpointRef | ||
| import org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.UpdateDelegationTokens | ||
| import org.apache.spark.util.ThreadUtils | ||
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| /** | ||
| * The MesosHadoopDelegationTokenManager fetches and updates Hadoop delegation tokens on the behalf | ||
| * of the MesosCoarseGrainedSchedulerBackend. It is modeled after the YARN AMCredentialRenewer, | ||
| * and similarly will renew the Credentials when 75% of the renewal interval has passed. | ||
| * The principal difference is that instead of writing the new credentials to HDFS and | ||
| * incrementing the timestamp of the file, the new credentials (called Tokens when they are | ||
| * serialized) are broadcast to all running executors. On the executor side, when new Tokens are | ||
| * received they overwrite the current credentials. | ||
| */ | ||
| private[spark] class MesosHadoopDelegationTokenManager( | ||
| conf: SparkConf, | ||
| hadoopConfig: Configuration, | ||
| driverEndpoint: RpcEndpointRef) | ||
| extends Logging { | ||
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| require(driverEndpoint != null, "DriverEndpoint is not initialized") | ||
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| private val credentialRenewerThread: ScheduledExecutorService = | ||
| ThreadUtils.newDaemonSingleThreadScheduledExecutor("Credential Renewal Thread") | ||
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| private val tokenManager: HadoopDelegationTokenManager = | ||
| new HadoopDelegationTokenManager(conf, hadoopConfig) | ||
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| private val principal: String = conf.get(config.PRINCIPAL).orNull | ||
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| private var (tokens: Array[Byte], timeOfNextRenewal: Long) = { | ||
| try { | ||
| val creds = UserGroupInformation.getCurrentUser.getCredentials | ||
| val hadoopConf = SparkHadoopUtil.get.newConfiguration(conf) | ||
| val rt = tokenManager.obtainDelegationTokens(hadoopConf, creds) | ||
| logInfo(s"Initialized tokens: ${SparkHadoopUtil.get.dumpTokens(creds)}") | ||
| (SparkHadoopUtil.get.serialize(creds), rt) | ||
| } catch { | ||
| case e: Exception => | ||
| logError(s"Failed to fetch Hadoop delegation tokens $e") | ||
| throw e | ||
| } | ||
| } | ||
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| private val keytabFile: Option[String] = conf.get(config.KEYTAB) | ||
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| scheduleTokenRenewal() | ||
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| private def scheduleTokenRenewal(): Unit = { | ||
| if (keytabFile.isDefined) { | ||
| require(principal != null, "Principal is required for Keytab-based authentication") | ||
| logInfo(s"Using keytab: ${keytabFile.get} and principal $principal") | ||
| } else { | ||
| logInfo("Using ticket cache for Kerberos authentication, no token renewal.") | ||
| return | ||
| } | ||
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| def scheduleRenewal(runnable: Runnable): Unit = { | ||
| val remainingTime = timeOfNextRenewal - System.currentTimeMillis() | ||
| if (remainingTime <= 0) { | ||
| logInfo("Credentials have expired, creating new ones now.") | ||
| runnable.run() | ||
| } else { | ||
| logInfo(s"Scheduling login from keytab in $remainingTime millis.") | ||
| credentialRenewerThread.schedule(runnable, remainingTime, TimeUnit.MILLISECONDS) | ||
| } | ||
| } | ||
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| val credentialRenewerRunnable = | ||
| new Runnable { | ||
| override def run(): Unit = { | ||
| try { | ||
| getNewDelegationTokens() | ||
| broadcastDelegationTokens(tokens) | ||
| } catch { | ||
| case e: Exception => | ||
| // Log the error and try to write new tokens back in an hour | ||
| logWarning("Couldn't broadcast tokens, trying again in an hour", e) | ||
| credentialRenewerThread.schedule(this, 1, TimeUnit.HOURS) | ||
| return | ||
| } | ||
| scheduleRenewal(this) | ||
| } | ||
| } | ||
| scheduleRenewal(credentialRenewerRunnable) | ||
| } | ||
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| private def getNewDelegationTokens(): Unit = { | ||
| logInfo(s"Attempting to login to KDC with principal ${principal}") | ||
| // Get new delegation tokens by logging in with a new UGI inspired by AMCredentialRenewer.scala | ||
| // Don't protect against keytabFile being empty because it's guarded above. | ||
| val ugi = UserGroupInformation.loginUserFromKeytabAndReturnUGI(principal, keytabFile.get) | ||
| logInfo("Successfully logged into KDC") | ||
| val tempCreds = ugi.getCredentials | ||
| val hadoopConf = SparkHadoopUtil.get.newConfiguration(conf) | ||
| val nextRenewalTime = ugi.doAs(new PrivilegedExceptionAction[Long] { | ||
| override def run(): Long = { | ||
| tokenManager.obtainDelegationTokens(hadoopConf, tempCreds) | ||
| } | ||
| }) | ||
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| val currTime = System.currentTimeMillis() | ||
| timeOfNextRenewal = if (nextRenewalTime <= currTime) { | ||
| logWarning(s"Next credential renewal time ($nextRenewalTime) is earlier than " + | ||
| s"current time ($currTime), which is unexpected, please check your credential renewal " + | ||
| "related configurations in the target services.") | ||
| currTime | ||
| } else { | ||
| SparkHadoopUtil.getDateOfNextUpdate(nextRenewalTime, 0.75) | ||
| } | ||
| logInfo(s"Time of next renewal is in ${timeOfNextRenewal - System.currentTimeMillis()} ms") | ||
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| // Add the temp credentials back to the original ones. | ||
| UserGroupInformation.getCurrentUser.addCredentials(tempCreds) | ||
| // update tokens for late or dynamically added executors | ||
| tokens = SparkHadoopUtil.get.serialize(tempCreds) | ||
| } | ||
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| private def broadcastDelegationTokens(tokens: Array[Byte]) = { | ||
| logInfo("Sending new tokens to all executors") | ||
| driverEndpoint.send(UpdateDelegationTokens(tokens)) | ||
| } | ||
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| def getTokens(): Array[Byte] = { | ||
| tokens | ||
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Contributor
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| } | ||
| } | ||
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No longer needed because resource-manager backends (may) implement their own
initializeHadoopDelegationTokens.