Github user andrewor14 commented on a diff in the pull request:
https://github.com/apache/spark/pull/290#discussion_r11498513
--- Diff:
streaming/src/main/scala/org/apache/spark/streaming/ui/StreamingPage.scala ---
@@ -0,0 +1,289 @@
+/*
+ * 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 java.util.{Calendar, Locale}
+import javax.servlet.http.HttpServletRequest
+
+import scala.xml.Node
+
+import org.apache.spark.Logging
+import org.apache.spark.ui._
+import org.apache.spark.util.Distribution
+
+/** Page for Spark Web UI that shows statistics of a streaming job */
+private[ui] class StreamingPage(parent: StreamingTab)
+ extends UIPage("") with Logging {
+
+ private val ssc = parent.ssc
+ private val sc = ssc.sparkContext
+ private val sparkUI = sc.ui
+ private val listener = new StreamingProgressListener(ssc)
+ private val calendar = Calendar.getInstance()
+ private val startTime = calendar.getTime()
+ private val emptyCellTest = "-"
+
+ ssc.addStreamingListener(listener)
+ parent.attachPage(this)
+
+ /** Render the page */
+ override def render(request: HttpServletRequest): Seq[Node] = {
+ val content =
+ generateBasicStats() ++
+ <br></br><h4>Statistics over last {listener.completedBatches.size}
processed batches</h4> ++
+ generateNetworkStatsTable() ++
+ generateBatchStatsTable()
+ UIUtils.headerSparkPage(
+ content, sparkUI.basePath, sc.appName, "Streaming", sparkUI.getTabs,
parent, Some(5000))
+ }
+
+ /** Generate basic stats of the streaming program */
+ private def generateBasicStats(): Seq[Node] = {
+ val timeSinceStart = System.currentTimeMillis() - startTime.getTime
+ <ul class ="unstyled">
+ <li>
+ <strong>Started at: </strong> {startTime.toString}
+ </li>
+ <li>
+ <strong>Time since start:
</strong>{msDurationToString(timeSinceStart)}
+ </li>
+ <li>
+ <strong>Network receivers: </strong>{listener.numNetworkReceivers}
+ </li>
+ <li>
+ <strong>Batch interval:
</strong>{msDurationToString(listener.batchDuration)}
+ </li>
+ <li>
+ <strong>Processed batches:
</strong>{listener.numTotalCompletedBatches}
+ </li>
+ <li>
+ <strong>Waiting batches: </strong>{listener.numUnprocessedBatches}
+ </li>
+ </ul>
+ }
+
+ /** Generate stats of data received over the network the streaming
program */
+ private def generateNetworkStatsTable(): Seq[Node] = {
+ val receivedRecordDistributions = listener.receivedRecordsDistributions
+ val lastBatchReceivedRecord = listener.lastReceivedBatchRecords
+ val table = if (receivedRecordDistributions.size > 0) {
+ val headerRow = Seq(
+ "Receiver",
+ "Location",
+ s"Records in last batch",
+ "Minimum rate\n[records/sec]",
+ "25th percentile rate\n[records/sec]",
+ "Median rate\n[records/sec]",
+ "75th percentile rate\n[records/sec]",
+ "Maximum rate\n[records/sec]"
+ )
+ val dataRows = (0 until listener.numNetworkReceivers).map {
receiverId =>
+ val receiverInfo = listener.receiverInfo(receiverId)
+ val receiverName =
receiverInfo.map(_.toString).getOrElse(s"Receiver-$receiverId")
+ val receiverLocation =
receiverInfo.map(_.location).getOrElse(emptyCellTest)
+ val receiverLastBatchRecords =
numberToString(lastBatchReceivedRecord(receiverId))
+ val receivedRecordStats =
receivedRecordDistributions(receiverId).map { d =>
+ d.getQuantiles().map(r => numberToString(r.toLong))
+ }.getOrElse {
+ Seq(emptyCellTest, emptyCellTest, emptyCellTest, emptyCellTest,
emptyCellTest)
+ }
+ Seq(receiverName, receiverLocation, receiverLastBatchRecords) ++
+ receivedRecordStats
+ }
+ Some(listingTable(headerRow, dataRows, fixedWidth = true))
+ } else {
+ None
+ }
+
+ val content =
+ <h5>Network Input Statistics</h5> ++
+ <div>{table.getOrElse("No network receivers")}</div>
+
+ content
+ }
+
+ /** Generate stats of batch jobs of the streaming program */
+ private def generateBatchStatsTable(): Seq[Node] = {
+ val numBatches = listener.completedBatches.size
+ val lastCompletedBatch = listener.lastCompletedBatch
+ val table = if (numBatches > 0) {
+ val processingDelayQuantilesRow = {
+ Seq(
+ "Processing Time",
+ msDurationToString(lastCompletedBatch.flatMap(_.processingDelay))
+ ) ++ getQuantiles(listener.processingDelayDistribution)
+ }
+ val schedulingDelayQuantilesRow = {
+ Seq(
+ "Scheduling Delay",
+ msDurationToString(lastCompletedBatch.flatMap(_.schedulingDelay))
+ ) ++ getQuantiles(listener.schedulingDelayDistribution)
+ }
+ val totalDelayQuantilesRow = {
+ Seq(
+ "Total Delay",
+ msDurationToString(lastCompletedBatch.flatMap(_.totalDelay))
+ ) ++ getQuantiles(listener.totalDelayDistribution)
+ }
+ val headerRow = Seq("Metric", "Last batch", "Minimum", "25th
percentile",
+ "Median", "75th percentile", "Maximum")
+ val dataRows: Seq[Seq[String]] = Seq(
+ processingDelayQuantilesRow,
+ schedulingDelayQuantilesRow,
+ totalDelayQuantilesRow
+ )
+ Some(listingTable(headerRow, dataRows, fixedWidth = true))
+ } else {
+ None
+ }
+
+ val content =
+ <h5>Batch Processing Statistics</h5> ++
+ <div>
+ <ul class="unstyled">
+ {table.getOrElse("No statistics have been generated yet.")}
+ </ul>
+ </div>
+
+ content
+ }
+
+ /**
+ * Returns a human-readable string representing a number
+ */
+ private def numberToString(records: Double): String = {
+ val trillion = 1e12
+ val billion = 1e9
+ val million = 1e6
+ val thousand = 1e3
+
+ val (value, unit) = {
+ if (records >= 2*trillion) {
+ (records / trillion, " T")
+ } else if (records >= 2*billion) {
+ (records / billion, " B")
+ } else if (records >= 2*million) {
+ (records / million, " M")
+ } else if (records >= 2*thousand) {
+ (records / thousand, " K")
+ } else {
+ (records, "")
+ }
+ }
+ "%.1f%s".formatLocal(Locale.US, value, unit)
+ }
+
+ /**
+ * Returns a human-readable string representing a duration such as "5
second 35 ms"
+ */
+ private def msDurationToString(ms: Long): String = {
+ try {
+ val second = 1000L
+ val minute = 60 * second
+ val hour = 60 * minute
+ val day = 24 * hour
+ val week = 7 * day
+ val year = 365 * day
+
+ def toString(num: Long, unit: String): String = {
+ if (num == 0) {
+ ""
+ } else if (num == 1) {
+ s"$num $unit"
+ } else {
+ s"$num ${unit}s"
+ }
+ }
+
+ val millisecondsString = if (ms >= second && ms % second == 0) ""
else s"${ms % second} ms"
+ val secondString = toString((ms % minute) / second, "second")
+ val minuteString = toString((ms % hour) / minute, "minute")
+ val hourString = toString((ms % day) / hour, "hour")
+ val dayString = toString((ms % week) / day, "day")
+ val weekString = toString((ms % year) / week, "week")
+ val yearString = toString(ms / year, "year")
+
+ Seq(
+ second -> millisecondsString,
+ minute -> s"$secondString $millisecondsString",
+ hour -> s"$minuteString $secondString",
+ day -> s"$hourString $minuteString $secondString",
+ week -> s"$dayString $hourString $minuteString",
+ year -> s"$weekString $dayString $hourString"
+ ).foreach {
+ case (durationLimit, durationString) if (ms < durationLimit) =>
+ return durationString
+ case e: Any => // matcherror is thrown without this
+ }
+ return s"$yearString $weekString $dayString"
+ } catch {
+ case e: Exception =>
+ logError("Error converting time to string", e)
+ return ""
--- End diff --
super duper minor nit: return not needed here, and in L233
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