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package spark
import org.scalatest.FunSuite
import org.scalatest.prop.Checkers
import scala.collection.mutable.ArrayBuffer
import SparkContext._
// Common state shared by FailureSuite-launched tasks. We use a global object
// for this because any local variables used in the task closures will rightfully
// be copied for each task, so there's no other way for them to share state.
object FailureSuiteState {
var tasksRun = 0
var tasksFailed = 0
def clear() {
synchronized {
tasksRun = 0
tasksFailed = 0
}
}
}
class FailureSuite extends FunSuite with LocalSparkContext {
// Run a 3-task map job in which task 1 deterministically fails once, and check
// whether the job completes successfully and we ran 4 tasks in total.
test("failure in a single-stage job") {
sc = new SparkContext("local[1,1]", "test")
val results = sc.makeRDD(1 to 3, 3).map { x =>
FailureSuiteState.synchronized {
FailureSuiteState.tasksRun += 1
if (x == 1 && FailureSuiteState.tasksFailed == 0) {
FailureSuiteState.tasksFailed += 1
throw new Exception("Intentional task failure")
}
}
x * x
}.collect()
FailureSuiteState.synchronized {
assert(FailureSuiteState.tasksRun === 4)
}
assert(results.toList === List(1,4,9))
FailureSuiteState.clear()
}
// Run a map-reduce job in which a reduce task deterministically fails once.
test("failure in a two-stage job") {
sc = new SparkContext("local[1,1]", "test")
val results = sc.makeRDD(1 to 3).map(x => (x, x)).groupByKey(3).map {
case (k, v) =>
FailureSuiteState.synchronized {
FailureSuiteState.tasksRun += 1
if (k == 1 && FailureSuiteState.tasksFailed == 0) {
FailureSuiteState.tasksFailed += 1
throw new Exception("Intentional task failure")
}
}
(k, v(0) * v(0))
}.collect()
FailureSuiteState.synchronized {
assert(FailureSuiteState.tasksRun === 4)
}
assert(results.toSet === Set((1, 1), (2, 4), (3, 9)))
FailureSuiteState.clear()
}
test("failure because task results are not serializable") {
sc = new SparkContext("local[1,1]", "test")
val results = sc.makeRDD(1 to 3).map(x => new NonSerializable)
val thrown = intercept[spark.SparkException] {
results.collect()
}
assert(thrown.getClass === classOf[spark.SparkException])
assert(thrown.getMessage.contains("NotSerializableException"))
FailureSuiteState.clear()
}
// TODO: Need to add tests with shuffle fetch failures.
}
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