Github user vanzin commented on a diff in the pull request:

    https://github.com/apache/spark/pull/19272#discussion_r146436571
  
    --- Diff: 
resource-managers/mesos/src/main/scala/org/apache/spark/scheduler/cluster/mesos/MesosCredentialRenewer.scala
 ---
    @@ -0,0 +1,169 @@
    +/*
    + * 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.
    + */
    +
    +package org.apache.spark.scheduler.cluster.mesos
    +
    +import java.security.PrivilegedExceptionAction
    +import java.util.concurrent.{Executors, TimeUnit}
    +
    +import scala.collection.JavaConverters._
    +import scala.util.Try
    +
    +import org.apache.hadoop.security.UserGroupInformation
    +
    +import org.apache.spark.SparkConf
    +import org.apache.spark.deploy.SparkHadoopUtil
    +import org.apache.spark.deploy.security.HadoopDelegationTokenManager
    +import org.apache.spark.internal.Logging
    +import org.apache.spark.internal.config
    +import org.apache.spark.rpc.RpcEndpointRef
    +import 
org.apache.spark.scheduler.cluster.CoarseGrainedClusterMessages.UpdateDelegationTokens
    +import org.apache.spark.util.ThreadUtils
    +
    +
    +/**
    + * The MesosCredentialRenewer will update the Hadoop credentials for Spark 
drivers accessing
    + * secured services using Kerberos authentication. It is modeled after the 
YARN AMCredential
    + * renewer, 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
    + * recieved they overwrite the current credentials.
    + */
    +class MesosCredentialRenewer(
    +    conf: SparkConf,
    +    tokenManager: HadoopDelegationTokenManager,
    +    nextRenewal: Long,
    +    driverEndpoint: RpcEndpointRef) extends Logging {
    +  private val credentialRenewerThread =
    +    ThreadUtils.newDaemonSingleThreadScheduledExecutor("Credential Renewal 
Thread")
    +
    +  @volatile private var timeOfNextRenewal = nextRenewal
    +
    +  private val principal = conf.get(config.PRINCIPAL).orNull
    +
    +  private val (secretFile, mode) = getSecretFile(conf)
    +
    +  private def getSecretFile(conf: SparkConf): (String, String) = {
    +    val keytab = conf.get(config.KEYTAB).orNull
    +    val tgt = conf.getenv("KRB5CCNAME")
    +    require(keytab != null || tgt != null, "A keytab or TGT required.")
    +    // if both Keytab and TGT are detected we use the Keytab.
    +    val (secretFile, mode) = if (keytab != null && tgt != null) {
    +      logWarning(s"Keytab and TGT were detected, using keytab, unset 
$keytab to use TGT")
    +      (keytab, "keytab")
    +    } else {
    +      val m = if (keytab != null) "keytab" else "tgt"
    +      val sf = if (keytab != null) keytab else tgt
    +      (sf, m)
    +    }
    +    logInfo(s"Logging in as $principal with mode $mode to retrieve Hadoop 
delegation tokens")
    +    logDebug(s"secretFile is $secretFile")
    +    (secretFile, mode)
    +  }
    +
    +  def scheduleTokenRenewal(): Unit = {
    +    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)
    +      }
    +    }
    +
    +    val credentialRenewerRunnable =
    +      new Runnable {
    +        override def run(): Unit = {
    +          try {
    +            val creds = getRenewedDelegationTokens(conf)
    +            broadcastDelegationTokens(creds)
    +          } 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)
    +  }
    +
    +  private def getRenewedDelegationTokens(conf: SparkConf): Array[Byte] = {
    +    logInfo(s"Attempting to login with 
${conf.get(config.PRINCIPAL).orNull}")
    +    // Get new delegation tokens by logging in with a new UGI
    +    // inspired by AMCredentialRenewer.scala:L174
    +    val ugi = if (mode == "keytab") {
    +      UserGroupInformation.loginUserFromKeytabAndReturnUGI(principal, 
secretFile)
    +    } else {
    +      UserGroupInformation.getUGIFromTicketCache(secretFile, principal)
    +    }
    +    val tempCreds = ugi.getCredentials
    +    val hadoopConf = SparkHadoopUtil.get.newConfiguration(conf)
    +    var nextRenewalTime = Long.MaxValue
    +    ugi.doAs(new PrivilegedExceptionAction[Void] {
    +      override def run(): Void = {
    +        nextRenewalTime = tokenManager.obtainDelegationTokens(hadoopConf, 
tempCreds)
    +        null
    +      }
    +    })
    +
    +    val currTime = System.currentTimeMillis()
    +    timeOfNextRenewal = if (nextRenewalTime <= currTime) {
    +      logWarning(s"Next credential renewal time ($nextRenewalTime) is 
earlier than " +
    +        s"current time ($currTime), which is unexpected, please check your 
credential renewal " +
    +        "related configurations in the target services.")
    +      currTime
    +    } else {
    +      MesosCredentialRenewer.getNextRenewalTime(nextRenewalTime)
    +    }
    +    logInfo(s"Time of next renewal is $timeOfNextRenewal")
    +
    +    // Add the temp credentials back to the original ones.
    +    UserGroupInformation.getCurrentUser.addCredentials(tempCreds)
    +    SparkHadoopUtil.get.serialize(tempCreds)
    +  }
    +
    +  private def broadcastDelegationTokens(tokens: Array[Byte]): Unit = {
    +    // send token to existing executors
    +    logInfo("Sending new tokens to all executors")
    +    driverEndpoint.send(UpdateDelegationTokens(tokens))
    +  }
    +}
    +
    +object MesosCredentialRenewer extends Logging {
    +  def getTokenRenewalTime(bytes: Array[Byte], conf: SparkConf): Long = {
    +    val hadoopConf = SparkHadoopUtil.get.newConfiguration(conf)
    +    val creds = SparkHadoopUtil.get.deserialize(bytes)
    +    val renewalTimes = creds.getAllTokens.asScala.flatMap { t =>
    +      Try {
    +        t.renew(hadoopConf)
    +      }.toOption
    +    }
    +    if (renewalTimes.isEmpty) Long.MaxValue else renewalTimes.min
    +  }
    +
    +  def getNextRenewalTime(t: Long): Long = {
    --- End diff --
    
    This looks similar but not exactly the same as the logic in YARN's 
`writeNewCredentialsToHDFS`. Both should be using the same logic to calculate 
these things, so probably time for some refactoring.


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