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[KYUUBI-116][Experimental] Support long cache spark session in kerber…
…ized cluster (#117) * fixes @116 Support long caching SparkSession/SparkContext for secured hadoop cluster * handle sub classes of coarse grained scheduler backend * fix ut for spark 2.2 * updating doc
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...i-server/src/main/scala/org/apache/spark/scheduler/cluster/KyuubiSparkExecutorUtils.scala
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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 | ||
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| import java.io.{ByteArrayOutputStream, DataOutputStream} | ||
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| import scala.collection.mutable | ||
| import scala.util.control.NonFatal | ||
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| import org.apache.hadoop.security.UserGroupInformation | ||
| import org.apache.spark.KyuubiConf._ | ||
| import org.apache.spark.SparkContext | ||
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| import yaooqinn.kyuubi.utils.ReflectUtils._ | ||
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| /** | ||
| * Tool for methods used for Kyuubi to talking to Spark Executors | ||
| */ | ||
| object KyuubiSparkExecutorUtils { | ||
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| /** | ||
| * Populate the tokens contained in the current KyuubiSession's ugi to the all the alive | ||
| * executors associated with its own SparkContext. | ||
| * | ||
| * @param sc The SparkContext with its runtime environment which contains all the executors, | ||
| * associated with the current KyuubiSession and UserGroupInformation. | ||
| * @param user the UserGroupInformation associated with the current KyuubiSession | ||
| */ | ||
| def populateTokens(sc: SparkContext, user: UserGroupInformation): Unit = { | ||
| val schedulerBackend = sc.schedulerBackend | ||
| schedulerBackend match { | ||
| case backend: CoarseGrainedSchedulerBackend => | ||
| try { | ||
| val byteStream = new ByteArrayOutputStream | ||
| val dataStream = new DataOutputStream(byteStream) | ||
| user.getCredentials.writeTokenStorageToStream(dataStream) | ||
| val tokens = byteStream.toByteArray | ||
| val executorField = | ||
| classOf[CoarseGrainedSchedulerBackend].getName.replace('.', '$') + "$$executorDataMap" | ||
| val executors = backend match { | ||
| case _: YarnClientSchedulerBackend | _: YarnClusterSchedulerBackend | | ||
| _: StandaloneSchedulerBackend => | ||
| getAncestorField(backend, 2, executorField) | ||
| case _ => getFieldValue(backend, executorField) | ||
| } | ||
| val msg = newInstance(sc.conf.get(BACKEND_SESSION_TOKEN_UPDATE_CLASS), | ||
| Seq(classOf[Array[Byte]]), Seq(tokens)) | ||
| executors.asInstanceOf[mutable.HashMap[String, ExecutorData]] | ||
| .values.foreach(_.executorEndpoint.send(msg)) | ||
| } catch { | ||
| case NonFatal(e) => warn(s"Failed to populate secured tokens to executors", e) | ||
| } | ||
| case _ => | ||
| } | ||
| } | ||
| } |
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