stage metric distributions

apache · Mar 31, 2015 · a4b1397 · a4b1397
1 parent e48ba32
commit a4b1397
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diff --git a/core/src/main/scala/org/apache/spark/status/api/v1/AllStagesResource.scala b/core/src/main/scala/org/apache/spark/status/api/v1/AllStagesResource.scala
@@ -24,6 +24,7 @@ import org.apache.spark.executor.{InputMetrics => InternalInputMetrics, OutputMe
 import org.apache.spark.scheduler.{AccumulableInfo => InternalAccumulableInfo, StageInfo}
 import org.apache.spark.ui.SparkUI
 import org.apache.spark.ui.jobs.UIData.{StageUIData, TaskUIData}
+import org.apache.spark.util.Distribution
 
 @Produces(Array(MediaType.APPLICATION_JSON))
 private[v1] class AllStagesResource(uiRoot: UIRoot) {
@@ -145,6 +146,84 @@ private[v1] object AllStagesResource {
     )
   }
 
+  def taskMetricDistributions(allTaskData: Seq[TaskUIData], quantiles: Array[Double]): TaskMetricDistributions = {
+
+    val rawMetrics = allTaskData.flatMap{_.taskMetrics}
+
+    def getMetric[T](data: Seq[T], f: T => Double): IndexedSeq[Double] =
+      Distribution(data.map{d=> f(d)}).get.getQuantiles(quantiles)
+
+    abstract class MetricHelper[I,O](f: InternalTaskMetrics => Option[I]) {
+      val data: Seq[I] = rawMetrics.flatMap{x => f(x)}
+      def build: O
+      def m(f: I => Double): IndexedSeq[Double] = getMetric(data, f)
+      def metricOption: Option[O] = {
+        if (data.isEmpty) {
+          None
+        } else {
+          Some(build)
+        }
+      }
+    }
+
+    def m(f: InternalTaskMetrics => Double): IndexedSeq[Double] =
+      getMetric(rawMetrics, f)
+
+    val inputMetrics =
+      new MetricHelper[InternalInputMetrics, InputMetricDistributions](_.inputMetrics) {
+        def build: InputMetricDistributions = new InputMetricDistributions(
+          bytesRead = m(_.bytesRead),
+          recordsRead = m(_.recordsRead)
+        )
+      }.metricOption
+
+    val outputMetrics =
+      new MetricHelper[InternalOutputMetrics, OutputMetricDistributions](_.outputMetrics) {
+        def build: OutputMetricDistributions = new OutputMetricDistributions(
+          bytesWritten = m(_.bytesWritten),
+          recordsWritten = m(_.recordsWritten)
+        )
+      }.metricOption
+
+    val shuffleReadMetrics =
+      new MetricHelper[InternalShuffleReadMetrics, ShuffleReadMetricDistributions](_.shuffleReadMetrics) {
+        def build: ShuffleReadMetricDistributions = new ShuffleReadMetricDistributions(
+          readBytes = m(_.totalBytesRead),
+          readRecords = m(_.recordsRead),
+          remoteBytesRead = m(_.remoteBytesRead),
+          remoteBlocksFetched = m(_.remoteBlocksFetched),
+          localBlocksFetched = m(_.localBlocksFetched),
+          totalBlocksFetched = m(_.totalBlocksFetched),
+          fetchWaitTime = m(_.fetchWaitTime)
+        )
+      }.metricOption
+
+    val shuffleWriteMetrics =
+      new MetricHelper[InternalShuffleWriteMetrics, ShuffleWriteMetricDistributions](_.shuffleWriteMetrics) {
+        def build: ShuffleWriteMetricDistributions = new ShuffleWriteMetricDistributions(
+          writeBytes = m(_.shuffleBytesWritten),
+          writeRecords = m(_.shuffleRecordsWritten),
+          writeTime = m(_.shuffleWriteTime)
+        )
+      }.metricOption
+
+
+    new TaskMetricDistributions(
+      quantiles = quantiles,
+      executorDeserializeTime = m(_.executorDeserializeTime),
+      executorRunTime = m(_.executorRunTime),
+      resultSize = m(_.resultSize),
+      jvmGcTime = m(_.jvmGCTime),
+      resultSerializationTime = m(_.resultSerializationTime),
+      memoryBytesSpilled = m(_.memoryBytesSpilled),
+      diskBytesSpilled = m(_.diskBytesSpilled),
+      inputMetrics = inputMetrics,
+      outputMetrics = outputMetrics,
+      shuffleReadMetrics = shuffleReadMetrics,
+      shuffleWriteMetrics = shuffleWriteMetrics
+    )
+  }
+
   def convertAccumulableInfo(acc: InternalAccumulableInfo): AccumulableInfo = {
     new AccumulableInfo(acc.id, acc.name, acc.update, acc.value)
   }

diff --git a/core/src/main/scala/org/apache/spark/status/api/v1/api.scala b/core/src/main/scala/org/apache/spark/status/api/v1/api.scala
@@ -194,6 +194,50 @@ class ShuffleWriteMetrics(
   val recordsWritten: Long
 )
 
+class TaskMetricDistributions(
+  val quantiles: IndexedSeq[Double],
+
+  val executorDeserializeTime: IndexedSeq[Double],
+  val executorRunTime: IndexedSeq[Double],
+  val resultSize: IndexedSeq[Double],
+  val jvmGcTime: IndexedSeq[Double],
+  val resultSerializationTime: IndexedSeq[Double],
+  val memoryBytesSpilled: IndexedSeq[Double],
+  val diskBytesSpilled: IndexedSeq[Double],
+
+  val inputMetrics: Option[InputMetricDistributions],
+  val outputMetrics: Option[OutputMetricDistributions],
+  val shuffleReadMetrics: Option[ShuffleReadMetricDistributions],
+  val shuffleWriteMetrics: Option[ShuffleWriteMetricDistributions]
+)
+
+class InputMetricDistributions(
+  val bytesRead: IndexedSeq[Double],
+  val recordsRead: IndexedSeq[Double]
+)
+
+class OutputMetricDistributions(
+  val bytesWritten: IndexedSeq[Double],
+  val recordsWritten: IndexedSeq[Double]
+)
+
+
+class ShuffleReadMetricDistributions(
+  val readBytes: IndexedSeq[Double],
+  val readRecords: IndexedSeq[Double],
+  val remoteBlocksFetched: IndexedSeq[Double],
+  val localBlocksFetched: IndexedSeq[Double],
+  val fetchWaitTime: IndexedSeq[Double],
+  val remoteBytesRead: IndexedSeq[Double],
+  val totalBlocksFetched: IndexedSeq[Double]
+)
+
+class ShuffleWriteMetricDistributions(
+  val writeBytes: IndexedSeq[Double],
+  val writeRecords: IndexedSeq[Double],
+  val writeTime: IndexedSeq[Double]
+)
+
 class AccumulableInfo (
   val id: Long,
   val name: String,