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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.deploy
import org.apache.hadoop.conf.Configuration
import org.apache.hadoop.mapred.JobConf
import org.apache.spark.SparkException
/**
* Contains util methods to interact with Hadoop from Spark.
*/
private[spark]
class SparkHadoopUtil {
/**
* Return an appropriate (subclass) of Configuration. Creating config can initializes some Hadoop
* subsystems.
*/
def newConfiguration(): Configuration = new Configuration()
/**
* Add any user credentials to the job conf which are necessary for running on a secure Hadoop
* cluster.
*/
def addCredentials(conf: JobConf) {}
def isYarnMode(): Boolean = { false }
}
object SparkHadoopUtil {
private val hadoop = {
val yarnMode = java.lang.Boolean.valueOf(System.getProperty("SPARK_YARN_MODE", System.getenv("SPARK_YARN_MODE")))
if (yarnMode) {
try {
Class.forName("org.apache.spark.deploy.yarn.YarnSparkHadoopUtil").newInstance.asInstanceOf[SparkHadoopUtil]
} catch {
case th: Throwable => throw new SparkException("Unable to load YARN support", th)
}
} else {
new SparkHadoopUtil
}
}
def get: SparkHadoopUtil = {
hadoop
}
}
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