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/*
* 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.ui.exec
import javax.servlet.http.HttpServletRequest
import scala.collection.mutable.{HashMap, HashSet}
import scala.xml.Node
import org.eclipse.jetty.server.Handler
import org.apache.spark.{ExceptionFailure, Logging, SparkContext}
import org.apache.spark.executor.TaskMetrics
import org.apache.spark.scheduler.cluster.TaskInfo
import org.apache.spark.scheduler.{SparkListenerTaskStart, SparkListenerTaskEnd, SparkListener}
import org.apache.spark.ui.JettyUtils._
import org.apache.spark.ui.Page.Executors
import org.apache.spark.ui.UIUtils
import org.apache.spark.util.Utils
private[spark] class ExecutorsUI(val sc: SparkContext) {
private var _listener: Option[ExecutorsListener] = None
def listener = _listener.get
def start() {
_listener = Some(new ExecutorsListener)
sc.addSparkListener(listener)
}
def getHandlers = Seq[(String, Handler)](
("/executors", (request: HttpServletRequest) => render(request))
)
def render(request: HttpServletRequest): Seq[Node] = {
val storageStatusList = sc.getExecutorStorageStatus
val maxMem = storageStatusList.map(_.maxMem).fold(0L)(_+_)
val memUsed = storageStatusList.map(_.memUsed()).fold(0L)(_+_)
val diskSpaceUsed = storageStatusList.flatMap(_.blocks.values.map(_.diskSize)).fold(0L)(_+_)
val execHead = Seq("Executor ID", "Address", "RDD blocks", "Memory used", "Disk used",
"Active tasks", "Failed tasks", "Complete tasks", "Total tasks")
def execRow(kv: Seq[String]) = {
<tr>
<td>{kv(0)}</td>
<td>{kv(1)}</td>
<td>{kv(2)}</td>
<td sorttable_customkey={kv(3)}>
{Utils.bytesToString(kv(3).toLong)} / {Utils.bytesToString(kv(4).toLong)}
</td>
<td sorttable_customkey={kv(5)}>
{Utils.bytesToString(kv(5).toLong)}
</td>
<td>{kv(6)}</td>
<td>{kv(7)}</td>
<td>{kv(8)}</td>
<td>{kv(9)}</td>
</tr>
}
val execInfo = for (b <- 0 until storageStatusList.size) yield getExecInfo(b)
val execTable = UIUtils.listingTable(execHead, execRow, execInfo)
val content =
<div class="row-fluid">
<div class="span12">
<ul class="unstyled">
<li><strong>Memory:</strong>
{Utils.bytesToString(memUsed)} Used
({Utils.bytesToString(maxMem)} Total) </li>
<li><strong>Disk:</strong> {Utils.bytesToString(diskSpaceUsed)} Used </li>
</ul>
</div>
</div>
<div class = "row">
<div class="span12">
{execTable}
</div>
</div>;
UIUtils.headerSparkPage(content, sc, "Executors (" + execInfo.size + ")", Executors)
}
def getExecInfo(a: Int): Seq[String] = {
val execId = sc.getExecutorStorageStatus(a).blockManagerId.executorId
val hostPort = sc.getExecutorStorageStatus(a).blockManagerId.hostPort
val rddBlocks = sc.getExecutorStorageStatus(a).blocks.size.toString
val memUsed = sc.getExecutorStorageStatus(a).memUsed().toString
val maxMem = sc.getExecutorStorageStatus(a).maxMem.toString
val diskUsed = sc.getExecutorStorageStatus(a).diskUsed().toString
val activeTasks = listener.executorToTasksActive.get(a.toString).map(l => l.size).getOrElse(0)
val failedTasks = listener.executorToTasksFailed.getOrElse(a.toString, 0)
val completedTasks = listener.executorToTasksComplete.getOrElse(a.toString, 0)
val totalTasks = activeTasks + failedTasks + completedTasks
Seq(
execId,
hostPort,
rddBlocks,
memUsed,
maxMem,
diskUsed,
activeTasks.toString,
failedTasks.toString,
completedTasks.toString,
totalTasks.toString
)
}
private[spark] class ExecutorsListener extends SparkListener with Logging {
val executorToTasksActive = HashMap[String, HashSet[TaskInfo]]()
val executorToTasksComplete = HashMap[String, Int]()
val executorToTasksFailed = HashMap[String, Int]()
override def onTaskStart(taskStart: SparkListenerTaskStart) {
val eid = taskStart.taskInfo.executorId
val activeTasks = executorToTasksActive.getOrElseUpdate(eid, new HashSet[TaskInfo]())
activeTasks += taskStart.taskInfo
}
override def onTaskEnd(taskEnd: SparkListenerTaskEnd) {
val eid = taskEnd.taskInfo.executorId
val activeTasks = executorToTasksActive.getOrElseUpdate(eid, new HashSet[TaskInfo]())
activeTasks -= taskEnd.taskInfo
val (failureInfo, metrics): (Option[ExceptionFailure], Option[TaskMetrics]) =
taskEnd.reason match {
case e: ExceptionFailure =>
executorToTasksFailed(eid) = executorToTasksFailed.getOrElse(eid, 0) + 1
(Some(e), e.metrics)
case _ =>
executorToTasksComplete(eid) = executorToTasksComplete.getOrElse(eid, 0) + 1
(None, Option(taskEnd.taskMetrics))
}
}
}
}
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