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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
import scala.collection._
import org.apache.spark.executor.TaskMetrics
case class StageInfo(
stage: Stage,
val taskInfos: mutable.Buffer[(TaskInfo, TaskMetrics)] = mutable.Buffer[(TaskInfo, TaskMetrics)]()
) {
val stageId = stage.id
var submissionTime: Option[Long] = None
var completionTime: Option[Long] = None
val rddName = stage.rdd.toString
val name = stage.name
val numPartitions = stage.numPartitions
val numTasks = stage.numTasks
override def toString = rddName
}
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