1 files changed, 85 insertions, 0 deletions
diff --git a/core/src/test/scala/spark/scheduler/SparkListenerSuite.scala b/core/src/test/scala/spark/scheduler/SparkListenerSuite.scala
new file mode 100644
index 0000000000..48aa67c543
--- /dev/null
+++ b/core/src/test/scala/spark/scheduler/SparkListenerSuite.scala
@@ -0,0 +1,85 @@
+package spark.scheduler
+
+import org.scalatest.FunSuite
+import spark.{SparkContext, LocalSparkContext}
+import scala.collection.mutable
+import org.scalatest.matchers.ShouldMatchers
+import spark.SparkContext._
+
+/**
+ *
+ */
+
+class SparkListenerSuite extends FunSuite with LocalSparkContext with ShouldMatchers {
+
+  test("local metrics") {
+    sc = new SparkContext("local[4]", "test")
+    val listener = new SaveStageInfo
+    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 d = sc.parallelize(1 to 1e4.toInt, 64).map{i => w(i)}
+    d.count
+    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 d4 = d2.cogroup(d3, 64).map{case(k,(v1,v2)) => w(k) -> (v1.size, v2.size)}
+    d4.setName("A Cogroup")
+
+    d4.collectAsMap
+
+    listener.stageInfos.size should be (4)
+    listener.stageInfos.foreach {stageInfo =>
+      //small test, so some tasks might take less than 1 millisecond, but average should be greater than 1 ms
+      checkNonZeroAvg(stageInfo.taskInfos.map{_._1.duration}, stageInfo + " duration")
+      checkNonZeroAvg(stageInfo.taskInfos.map{_._2.executorRunTime.toLong}, stageInfo + " executorRunTime")
+      checkNonZeroAvg(stageInfo.taskInfos.map{_._2.executorDeserializeTime.toLong}, stageInfo + " executorDeserializeTime")
+      if (stageInfo.stage.rdd.name == d4.name) {
+        checkNonZeroAvg(stageInfo.taskInfos.map{_._2.shuffleReadMetrics.get.fetchWaitTime}, stageInfo + " fetchWaitTime")
+      }
+
+        stageInfo.taskInfos.foreach{case (taskInfo, taskMetrics) =>
+        taskMetrics.resultSize should be > (0l)
+        if (isStage(stageInfo, Set(d2.name, d3.name), Set(d4.name))) {
+          taskMetrics.shuffleWriteMetrics should be ('defined)
+          taskMetrics.shuffleWriteMetrics.get.shuffleBytesWritten should be > (0l)
+        }
+        if (stageInfo.stage.rdd.name == d4.name) {
+          taskMetrics.shuffleReadMetrics should be ('defined)
+          val sm = taskMetrics.shuffleReadMetrics.get
+          sm.totalBlocksFetched should be > (0)
+          sm.localBlocksFetched should be > (0)
+          sm.remoteBlocksFetched should be (0)
+          sm.remoteBytesRead should be (0l)
+          sm.remoteFetchTime should be (0l)
+        }
+      }
+    }
+  }
+
+  def checkNonZeroAvg(m: Traversable[Long], msg: String) {
+    assert(m.sum / m.size.toDouble > 0.0, msg)
+  }
+
+  def isStage(stageInfo: StageInfo, rddNames: Set[String], excludedNames: Set[String]) = {
+    val names = Set(stageInfo.stage.rdd.name) ++ stageInfo.stage.rdd.dependencies.map{_.rdd.name}
+    !names.intersect(rddNames).isEmpty && names.intersect(excludedNames).isEmpty
+  }
+
+  class SaveStageInfo extends SparkListener {
+    val stageInfos = mutable.Buffer[StageInfo]()
+    override def onStageCompleted(stage: StageCompleted) {
+      stageInfos += stage.stageInfo
+    }
+  }
+
+}