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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 org.scalatest.FunSuite
import org.scalatest.BeforeAndAfter
import spark.TaskContext
import spark.RDD
import spark.SparkContext
import spark.Partition
import spark.LocalSparkContext
class TaskContextSuite extends FunSuite with BeforeAndAfter with LocalSparkContext {
test("Calls executeOnCompleteCallbacks after failure") {
var completed = false
sc = new SparkContext("local", "test")
val rdd = new RDD[String](sc, List()) {
override def getPartitions = Array[Partition](StubPartition(0))
override def compute(split: Partition, context: TaskContext) = {
context.addOnCompleteCallback(() => completed = true)
sys.error("failed")
}
}
val func = (c: TaskContext, i: Iterator[String]) => i.next
val task = new ResultTask[String, String](0, rdd, func, 0, Seq(), 0)
intercept[RuntimeException] {
task.run(0)
}
assert(completed === true)
}
case class StubPartition(val index: Int) extends Partition
}
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