Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/5473#discussion_r28855947
--- Diff:
streaming/src/main/scala/org/apache/spark/streaming/ui/BatchPage.scala ---
@@ -0,0 +1,224 @@
+/*
+ * 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.streaming.ui
+
+import javax.servlet.http.HttpServletRequest
+
+import org.apache.commons.lang3.StringEscapeUtils
+import org.apache.spark.streaming.Time
+import org.apache.spark.ui.{UIUtils, WebUIPage}
+import org.apache.spark.streaming.ui.StreamingJobProgressListener.{JobId,
OutputOpId}
+import org.apache.spark.ui.jobs.UIData.JobUIData
+
+import scala.xml.{NodeSeq, Node}
+
+class BatchPage(parent: StreamingTab) extends WebUIPage("batch") {
+ private val streaminglistener = parent.listener
+ private val sparkListener = parent.ssc.sc.jobProgressListener
+
+ private def columns: Seq[Node] = {
+ <th>Output Op Id</th>
+ <th>Description</th>
+ <th>Duration</th>
+ <th>Job Id</th>
+ <th>Duration</th>
+ <th class="sorttable_nosort">Stages: Succeeded/Total</th>
+ <th class="sorttable_nosort">Tasks (for all stages):
Succeeded/Total</th>
+ <th>Error</th>
+ }
+
+ private def makeOutputOpIdRow(outputOpId: OutputOpId, jobs:
Seq[JobUIData]): Seq[Node] = {
+ val jobDurations = jobs.map(job => {
+ job.submissionTime.map { start =>
+ val end = job.completionTime.getOrElse(System.currentTimeMillis())
+ end - start
+ }
+ })
+ val formattedOutputOpDuration =
+ if (jobDurations.exists(_ == None)) {
+ // If any job does not finish, set "formattedOutputOpDuration" to
"-"
+ "-"
+ } else {
+ UIUtils.formatDuration(jobDurations.flatMap(x => x).sum)
+ }
+
+ def makeJobRow(job: JobUIData, isFirstRow: Boolean): Seq[Node] = {
+ val lastStageInfo = Option(job.stageIds)
+ .filter(_.nonEmpty)
+ .flatMap { ids => sparkListener.stageIdToInfo.get(ids.max) }
+ val lastStageData = lastStageInfo.flatMap { s =>
+ sparkListener.stageIdToData.get((s.stageId, s.attemptId))
+ }
+
+ val lastStageName = lastStageInfo.map(_.name).getOrElse("(Unknown
Stage Name)")
+ val lastStageDescription =
lastStageData.flatMap(_.description).getOrElse("")
+ val duration: Option[Long] = {
+ job.submissionTime.map { start =>
+ val end =
job.completionTime.getOrElse(System.currentTimeMillis())
+ end - start
+ }
+ }
+ val lastFailureReason =
job.stageIds.sorted.reverse.flatMap(sparkListener.stageIdToInfo.get).
--- End diff --
nit: this is a lot of chaining and hard to follow. please break it down.
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