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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.
*/
package org.apache.spark.scheduler.cluster
import org.apache.hadoop.fs.{FileSystem, Path}
import org.apache.spark.{Logging, SparkContext}
import org.apache.spark.deploy.SparkHadoopUtil
import org.apache.spark.rpc.RpcEndpointAddress
import org.apache.spark.scheduler.TaskSchedulerImpl
private[spark] class SimrSchedulerBackend(
scheduler: TaskSchedulerImpl,
sc: SparkContext,
driverFilePath: String)
extends CoarseGrainedSchedulerBackend(scheduler, sc.env.rpcEnv)
with Logging {
val tmpPath = new Path(driverFilePath + "_tmp")
val filePath = new Path(driverFilePath)
val maxCores = conf.getInt("spark.simr.executor.cores", 1)
override def start() {
super.start()
val driverUrl = RpcEndpointAddress(
sc.conf.get("spark.driver.host"),
sc.conf.get("spark.driver.port").toInt,
CoarseGrainedSchedulerBackend.ENDPOINT_NAME).toString
val conf = SparkHadoopUtil.get.newConfiguration(sc.conf)
val fs = FileSystem.get(conf)
val appUIAddress = sc.ui.map(_.appUIAddress).getOrElse("")
logInfo("Writing to HDFS file: " + driverFilePath)
logInfo("Writing Driver address: " + driverUrl)
logInfo("Writing Spark UI Address: " + appUIAddress)
// Create temporary file to prevent race condition where executors get empty driverUrl file
val temp = fs.create(tmpPath, true)
temp.writeUTF(driverUrl)
temp.writeInt(maxCores)
temp.writeUTF(appUIAddress)
temp.close()
// "Atomic" rename
fs.rename(tmpPath, filePath)
}
override def stop() {
val conf = SparkHadoopUtil.get.newConfiguration(sc.conf)
val fs = FileSystem.get(conf)
if (!fs.delete(new Path(driverFilePath), false)) {
logWarning(s"error deleting ${driverFilePath}")
}
super.stop()
}
}
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