[SPARK-2208] Fix for local metrics tests can fail on fast machines

## What changes were proposed in this pull request?

A fix for local metrics tests that can fail on fast machines.
This is probably what is suggested here apache#3380 by aarondav?

## How was this patch tested?

CI Tests

Cheers

Author: Joan <[email protected]>

Closes apache#11747 from joan38/SPARK-2208-Local-metrics-tests.

core/src/test/scala/org/apache/spark/scheduler/SparkListenerSuite.scala

@@ -26,6 +26,10 @@ import org.scalatest.Matchers
 
 import org.apache.spark.{LocalSparkContext, SparkConf, SparkContext, SparkException, SparkFunSuite}
 import org.apache.spark.executor.TaskMetrics
+import org.apache.spark.network.buffer.ManagedBuffer
+import org.apache.spark.shuffle.IndexShuffleBlockResolver
+import org.apache.spark.shuffle.sort.SortShuffleManager
+import org.apache.spark.storage.ShuffleBlockId
 import org.apache.spark.util.{ResetSystemProperties, RpcUtils}
 
 class SparkListenerSuite extends SparkFunSuite with LocalSparkContext with Matchers
@@ -215,28 +219,24 @@ class SparkListenerSuite extends SparkFunSuite with LocalSparkContext with Match
   }
 
   test("local metrics") {
-    sc = new SparkContext("local", "SparkListenerSuite")
+    val conf = new SparkConf()
+      .setMaster("local").setAppName("SparkListenerSuite")
+      .set("spark.shuffle.manager", classOf[SlowShuffleManager].getName)
+    sc = new SparkContext(conf)
     val listener = new SaveStageAndTaskInfo
     sc.addSparkListener(listener)
     sc.addSparkListener(new StatsReportListener)
-    // just to make sure some of the tasks take a noticeable amount of time
-    val w = { i: Int =>
-      if (i == 0) {
-        Thread.sleep(100)
-      }
-      i
-    }
 
     val numSlices = 16
-    val d = sc.parallelize(0 to 1e3.toInt, numSlices).map(w)
+    val d = sc.parallelize(0 to 1e3.toInt, numSlices)
     d.count()
     sc.listenerBus.waitUntilEmpty(WAIT_TIMEOUT_MILLIS)
     listener.stageInfos.size should be (1)
 
-    val d2 = d.map { i => w(i) -> i * 2 }.setName("shuffle input 1")
-    val d3 = d.map { i => w(i) -> (0 to (i % 5)) }.setName("shuffle input 2")
+    val d2 = d.map { i => i -> i * 2 }.setName("shuffle input 1")
+    val d3 = d.map { i => i -> (0 to (i % 5)) }.setName("shuffle input 2")
     val d4 = d2.cogroup(d3, numSlices).map { case (k, (v1, v2)) =>
-      w(k) -> (v1.size, v2.size)
+      k -> (v1.size, v2.size)
     }
     d4.setName("A Cogroup")
     d4.collectAsMap()
@@ -255,13 +255,11 @@ class SparkListenerSuite extends SparkFunSuite with LocalSparkContext with Match
         taskInfoMetrics.map(_._2.executorDeserializeTime),
         stageInfo + " executorDeserializeTime")
 
-      /* Test is disabled (SEE SPARK-2208)
       if (stageInfo.rddInfos.exists(_.name == d4.name)) {
         checkNonZeroAvg(
           taskInfoMetrics.map(_._2.shuffleReadMetrics.get.fetchWaitTime),
           stageInfo + " fetchWaitTime")
       }
-      */
 
       taskInfoMetrics.foreach { case (taskInfo, taskMetrics) =>
         taskMetrics.resultSize should be > (0L)
@@ -337,7 +335,7 @@ class SparkListenerSuite extends SparkFunSuite with LocalSparkContext with Match
         listener.wait(remainingWait)
         remainingWait = finishTime - System.currentTimeMillis
       }
-      assert(!listener.startedTasks.isEmpty)
+      assert(listener.startedTasks.nonEmpty)
     }
 
     f.cancel()
@@ -476,3 +474,15 @@ private class ListenerThatAcceptsSparkConf(conf: SparkConf) extends SparkListene
   var count = 0
   override def onJobEnd(job: SparkListenerJobEnd): Unit = count += 1
 }
+
+/** Slow ShuffleManager to simulate tasks that takes a noticeable amount of time */
+private class SlowShuffleManager(conf: SparkConf) extends SortShuffleManager(conf) {
+
+  override val shuffleBlockResolver = new IndexShuffleBlockResolver(conf) {
+
+    override def getBlockData(blockId: ShuffleBlockId): ManagedBuffer = {
+      Thread.sleep(10)
+      super.getBlockData(blockId)
+    }
+  }
+}