1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
|
/*
* 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 org.mockito.Mockito._
import org.mockito.Matchers.any
import org.scalatest.FunSuite
import org.scalatest.BeforeAndAfter
import org.apache.spark._
import org.apache.spark.rdd.RDD
import org.apache.spark.util.{TaskCompletionListenerException, TaskCompletionListener}
class TaskContextSuite extends FunSuite with BeforeAndAfter with LocalSparkContext {
test("calls TaskCompletionListener after failure") {
TaskContextSuite.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.addTaskCompletionListener(context => TaskContextSuite.completed = true)
sys.error("failed")
}
}
val closureSerializer = SparkEnv.get.closureSerializer.newInstance()
val func = (c: TaskContext, i: Iterator[String]) => i.next()
val task = new ResultTask[String, String](
0, sc.broadcast(closureSerializer.serialize((rdd, func)).array), rdd.partitions(0), Seq(), 0)
intercept[RuntimeException] {
task.run(0, 0)
}
assert(TaskContextSuite.completed === true)
}
test("all TaskCompletionListeners should be called even if some fail") {
val context = new TaskContextImpl(0, 0, 0, 0)
val listener = mock(classOf[TaskCompletionListener])
context.addTaskCompletionListener(_ => throw new Exception("blah"))
context.addTaskCompletionListener(listener)
context.addTaskCompletionListener(_ => throw new Exception("blah"))
intercept[TaskCompletionListenerException] {
context.markTaskCompleted()
}
verify(listener, times(1)).onTaskCompletion(any())
}
test("TaskContext.attemptNumber should return attempt number, not task id (SPARK-4014)") {
sc = new SparkContext("local[1,2]", "test") // use maxRetries = 2 because we test failed tasks
// Check that attemptIds are 0 for all tasks' initial attempts
val attemptIds = sc.parallelize(Seq(1, 2), 2).mapPartitions { iter =>
Seq(TaskContext.get().attemptNumber).iterator
}.collect()
assert(attemptIds.toSet === Set(0))
// Test a job with failed tasks
val attemptIdsWithFailedTask = sc.parallelize(Seq(1, 2), 2).mapPartitions { iter =>
val attemptId = TaskContext.get().attemptNumber
if (iter.next() == 1 && attemptId == 0) {
throw new Exception("First execution of task failed")
}
Seq(attemptId).iterator
}.collect()
assert(attemptIdsWithFailedTask.toSet === Set(0, 1))
}
test("TaskContext.attemptId returns taskAttemptId for backwards-compatibility (SPARK-4014)") {
sc = new SparkContext("local", "test")
val attemptIds = sc.parallelize(Seq(1, 2, 3, 4), 4).mapPartitions { iter =>
Seq(TaskContext.get().attemptId).iterator
}.collect()
assert(attemptIds.toSet === Set(0, 1, 2, 3))
}
}
private object TaskContextSuite {
@volatile var completed = false
}
private case class StubPartition(index: Int) extends Partition
|
