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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.spark.SparkContext
import org.apache.spark.deploy.yarn.YarnSparkHadoopUtil._
import org.apache.spark.scheduler.TaskSchedulerImpl
import org.apache.spark.util.IntParam
private[spark] class YarnClusterSchedulerBackend(
scheduler: TaskSchedulerImpl,
sc: SparkContext)
extends YarnSchedulerBackend(scheduler, sc) {
override def start() {
super.start()
totalExpectedExecutors = DEFAULT_NUMBER_EXECUTORS
if (System.getenv("SPARK_EXECUTOR_INSTANCES") != null) {
totalExpectedExecutors = IntParam.unapply(System.getenv("SPARK_EXECUTOR_INSTANCES"))
.getOrElse(totalExpectedExecutors)
}
// System property can override environment variable.
totalExpectedExecutors = sc.getConf.getInt("spark.executor.instances", totalExpectedExecutors)
}
override def applicationId(): String =
// In YARN Cluster mode, spark.yarn.app.id is expect to be set
// before user application is launched.
// So, if spark.yarn.app.id is not set, it is something wrong.
sc.getConf.getOption("spark.yarn.app.id").getOrElse {
logError("Application ID is not set.")
super.applicationId
}
}
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