/* * Licensed 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 sparkdeployer import scala.util.{Failure, Success, Try} import org.slf4s.Logging object Retry extends Logging { @annotation.tailrec def apply[T](op: Int => T, attempt: Int, maxAttempts: Int): T = { Try { op(attempt) } match { case Success(x) => x case Failure(e) if attempt < maxAttempts => Thread.sleep(15000) apply(op, attempt + 1, maxAttempts) case Failure(e) => throw e } } def apply[T](op: Int => T)(implicit clusterConf: ClusterConf): T = apply(op, 1, clusterConf.retryAttempts) }