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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
import executor.TaskMetrics
import scala.collection.mutable.ArrayBuffer
class TaskContext(
val stageId: Int,
val splitId: Int,
val attemptId: Long,
val taskMetrics: TaskMetrics = TaskMetrics.empty()
) extends Serializable {
@transient val onCompleteCallbacks = new ArrayBuffer[() => Unit]
// Add a callback function to be executed on task completion. An example use
// is for HadoopRDD to register a callback to close the input stream.
def addOnCompleteCallback(f: () => Unit) {
onCompleteCallbacks += f
}
def executeOnCompleteCallbacks() {
onCompleteCallbacks.foreach{_()}
}
}
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