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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 spark.scheduler
import spark.TaskContext
import java.util.Properties
/**
* Tracks information about an active job in the DAGScheduler.
*/
private[spark] class ActiveJob(
val jobId: Int,
val finalStage: Stage,
val func: (TaskContext, Iterator[_]) => _,
val partitions: Array[Int],
val callSite: String,
val listener: JobListener,
val properties: Properties) {
val numPartitions = partitions.length
val finished = Array.fill[Boolean](numPartitions)(false)
var numFinished = 0
}
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