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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 java.net.URLEncoder
import javax.servlet.http.HttpServletRequest
import scala.xml.Node
import org.apache.spark.status.api.v1.ExecutorSummary
import org.apache.spark.ui.{ToolTips, UIUtils, WebUIPage}
import org.apache.spark.util.Utils
// This isn't even used anymore -- but we need to keep it b/c of a MiMa false positive
private[ui] case class ExecutorSummaryInfo(
id: String,
hostPort: String,
rddBlocks: Int,
memoryUsed: Long,
diskUsed: Long,
activeTasks: Int,
failedTasks: Int,
completedTasks: Int,
totalTasks: Int,
totalDuration: Long,
totalInputBytes: Long,
totalShuffleRead: Long,
totalShuffleWrite: Long,
maxMemory: Long,
executorLogs: Map[String, String])
private[ui] class ExecutorsPage(
parent: ExecutorsTab,
threadDumpEnabled: Boolean)
extends WebUIPage("") {
private val listener = parent.listener
def render(request: HttpServletRequest): Seq[Node] = {
val storageStatusList = listener.storageStatusList
val maxMem = storageStatusList.map(_.maxMem).sum
val memUsed = storageStatusList.map(_.memUsed).sum
val diskUsed = storageStatusList.map(_.diskUsed).sum
val execInfo = for (statusId <- 0 until storageStatusList.size) yield
ExecutorsPage.getExecInfo(listener, statusId)
val execInfoSorted = execInfo.sortBy(_.id)
val logsExist = execInfo.filter(_.executorLogs.nonEmpty).nonEmpty
val execTable =
}
}
private[spark] object ExecutorsPage {
/** Represent an executor's info as a map given a storage status index */
def getExecInfo(listener: ExecutorsListener, statusId: Int): ExecutorSummary = {
val status = listener.storageStatusList(statusId)
val execId = status.blockManagerId.executorId
val hostPort = status.blockManagerId.hostPort
val rddBlocks = status.numBlocks
val memUsed = status.memUsed
val maxMem = status.maxMem
val diskUsed = status.diskUsed
val activeTasks = listener.executorToTasksActive.getOrElse(execId, 0)
val failedTasks = listener.executorToTasksFailed.getOrElse(execId, 0)
val completedTasks = listener.executorToTasksComplete.getOrElse(execId, 0)
val totalTasks = activeTasks + failedTasks + completedTasks
val totalDuration = listener.executorToDuration.getOrElse(execId, 0L)
val totalInputBytes = listener.executorToInputBytes.getOrElse(execId, 0L)
val totalShuffleRead = listener.executorToShuffleRead.getOrElse(execId, 0L)
val totalShuffleWrite = listener.executorToShuffleWrite.getOrElse(execId, 0L)
val executorLogs = listener.executorToLogUrls.getOrElse(execId, Map.empty)
new ExecutorSummary(
execId,
hostPort,
rddBlocks,
memUsed,
diskUsed,
activeTasks,
failedTasks,
completedTasks,
totalTasks,
totalDuration,
totalInputBytes,
totalShuffleRead,
totalShuffleWrite,
maxMem,
executorLogs
)
}
}