Github user squito commented on a diff in the pull request:
https://github.com/apache/spark/pull/4435#discussion_r27977857
--- Diff:
core/src/main/scala/org/apache/spark/status/api/v1/AllStagesResource.scala ---
@@ -0,0 +1,285 @@
+/*
+ * 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.status.api.v1
+
+import java.util.Date
+import javax.ws.rs.{GET, PathParam, Produces, QueryParam}
+import javax.ws.rs.core.MediaType
+
+import org.apache.spark.executor.{InputMetrics => InternalInputMetrics,
OutputMetrics => InternalOutputMetrics, ShuffleReadMetrics =>
InternalShuffleReadMetrics, ShuffleWriteMetrics => InternalShuffleWriteMetrics,
TaskMetrics => InternalTaskMetrics}
+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) {
+
+ @GET
+ def stageList(
+ @PathParam("appId") appId: String,
+ @QueryParam("status") statuses: java.util.List[StageStatus]
+ ): Seq[StageData] = {
+ uiRoot.withSparkUI(appId) { ui =>
+ val listener = ui.jobProgressListener
+ val stageAndStatus = AllStagesResource.stagesAndStatus(ui)
+ val adjStatuses = {
+ if (statuses.isEmpty()) {
+ java.util.Arrays.asList(StageStatus.values: _*)
+ } else {
+ statuses
+ }
+ }
+ for {
+ (status, stageList) <- stageAndStatus
+ stageInfo: StageInfo <- stageList if adjStatuses.contains(status)
+ stageUiData: StageUIData <- listener.synchronized {
+ listener.stageIdToData.get((stageInfo.stageId,
stageInfo.attemptId))
+ }
+ } yield {
+ AllStagesResource.stageUiToStageData(status, stageInfo,
stageUiData, includeDetails = false)
+ }
+ }
+ }
+}
+
+private[v1] object AllStagesResource {
+ def stageUiToStageData(
+ status: StageStatus,
+ stageInfo: StageInfo,
+ stageUiData: StageUIData,
+ includeDetails: Boolean
+ ): StageData = {
+
+ val taskData = if(includeDetails) {
+ Some(stageUiData.taskData.map { case (k, v) => k ->
convertTaskData(v) } )
+ } else {
+ None
+ }
+ val executorSummary = if(includeDetails) {
+ Some(stageUiData.executorSummary.map { case (k, summary) =>
+ k -> new ExecutorStageSummary(
+ taskTime = summary.taskTime,
+ failedTasks = summary.failedTasks,
+ succeededTasks = summary.succeededTasks,
+ inputBytes = summary.inputBytes,
+ outputBytes = summary.outputBytes,
+ shuffleRead = summary.shuffleRead,
+ shuffleWrite = summary.shuffleWrite,
+ memoryBytesSpilled = summary.memoryBytesSpilled,
+ diskBytesSpilled = summary.diskBytesSpilled
+ )
+ })
+ } else {
+ None
+ }
+
+ val accumulableInfo = stageUiData.accumulables.values.map {
convertAccumulableInfo }.toSeq
+
+ new StageData(
+ status = status,
+ stageId = stageInfo.stageId,
+ attemptId = stageInfo.attemptId,
+ numActiveTasks = stageUiData.numActiveTasks,
+ numCompleteTasks = stageUiData.numCompleteTasks,
+ numFailedTasks = stageUiData.numFailedTasks,
+ executorRunTime = stageUiData.executorRunTime,
+ inputBytes = stageUiData.inputBytes,
+ inputRecords = stageUiData.inputRecords,
+ outputBytes = stageUiData.outputBytes,
+ outputRecords = stageUiData.outputRecords,
+ shuffleReadBytes = stageUiData.shuffleReadTotalBytes,
+ shuffleReadRecords = stageUiData.shuffleReadRecords,
+ shuffleWriteBytes = stageUiData.shuffleWriteBytes,
+ shuffleWriteRecords = stageUiData.shuffleWriteRecords,
+ memoryBytesSpilled = stageUiData.memoryBytesSpilled,
+ diskBytesSpilled = stageUiData.diskBytesSpilled,
+ schedulingPool = stageUiData.schedulingPool,
+ name = stageInfo.name,
+ details = stageInfo.details,
+ accumulatorUpdates = accumulableInfo,
+ tasks = taskData,
+ executorSummary = executorSummary
+ )
+ }
+
+ def stagesAndStatus(ui: SparkUI): Seq[(StageStatus, Seq[StageInfo])] = {
+ val listener = ui.jobProgressListener
+ listener.synchronized {
+ Seq(
+ StageStatus.Active -> listener.activeStages.values.toSeq,
+ StageStatus.Complete -> listener.completedStages.reverse.toSeq,
+ StageStatus.Failed -> listener.failedStages.reverse.toSeq,
+ StageStatus.Pending -> listener.pendingStages.values.toSeq
+ )
+ }
+ }
+
+
+ def convertTaskData(uiData: TaskUIData): TaskData = {
+ new TaskData(
+ taskId = uiData.taskInfo.taskId,
+ index = uiData.taskInfo.index,
+ attempt = uiData.taskInfo.attempt,
+ launchTime = new Date(uiData.taskInfo.launchTime),
+ executorId = uiData.taskInfo.executorId,
+ host = uiData.taskInfo.host,
+ taskLocality = uiData.taskInfo.taskLocality.toString(),
+ speculative = uiData.taskInfo.speculative,
+ accumulatorUpdates = uiData.taskInfo.accumulables.map {
convertAccumulableInfo },
+ errorMessage = uiData.errorMessage,
+ taskMetrics = uiData.taskMetrics.map { convertUiTaskMetrics }
+ )
+ }
+
+ def taskMetricDistributions(
+ allTaskData: Iterable[TaskUIData],
+ quantiles: Array[Double]): TaskMetricDistributions = {
+
+ val rawMetrics = allTaskData.flatMap{_.taskMetrics}.toSeq
+
+ 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)}
--- End diff --
I don't understand why, but the compiler is unhappy with that:
```
[error] found : org.apache.spark.executor.TaskMetrics => Option[I]
[error] required: org.apache.spark.executor.TaskMetrics =>
scala.collection.GenTraversableOnce[?]
[error] val data: Seq[I] = rawMetrics.flatMap(f)
```
I'll add a comment explaining
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