Github user pwendell commented on a diff in the pull request:
https://github.com/apache/spark/pull/290#discussion_r11545457
--- Diff:
streaming/src/main/scala/org/apache/spark/streaming/ui/StreamingPage.scala ---
@@ -0,0 +1,180 @@
+/*
+ * 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
+import javax.servlet.http.HttpServletRequest
+
+import scala.xml.Node
+
+import org.apache.spark.Logging
+import org.apache.spark.ui._
+import org.apache.spark.ui.UIUtils._
+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 WebUIPage("") with Logging {
+
+ private val listener = parent.listener
+ private val startTime = Calendar.getInstance().getTime()
+ private val emptyCellTest = "-"
+
+ /** 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, parent.basePath, parent.appName, "Streaming",
parent.headerTabs, 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>{formatDurationVerbose(timeSinceStart)}
+ </li>
+ <li>
+ <strong>Network receivers: </strong>{listener.numNetworkReceivers}
+ </li>
+ <li>
+ <strong>Batch interval:
</strong>{formatDurationVerbose(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",
+ "Records in last batch\n[" +
formatDate(Calendar.getInstance().getTime()) + "]",
+ "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 =
formatDurationVerbose(lastBatchReceivedRecord(receiverId))
+ val receivedRecordStats =
receivedRecordDistributions(receiverId).map { d =>
+ d.getQuantiles().map(r => formatDurationVerbose(r.toLong))
+ }.getOrElse {
+ Seq(emptyCellTest, emptyCellTest, emptyCellTest, emptyCellTest,
emptyCellTest)
+ }
+ Seq(receiverName, receiverLocation, receiverLastBatchRecords) ++
receivedRecordStats
+ }
+ Some(listingTable(headerRow, dataRows))
+ } 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",
+
formatDurationOption(lastCompletedBatch.flatMap(_.processingDelay))
+ ) ++ getQuantiles(listener.processingDelayDistribution)
+ }
+ val schedulingDelayQuantilesRow = {
+ Seq(
+ "Scheduling Delay",
+
formatDurationOption(lastCompletedBatch.flatMap(_.schedulingDelay))
+ ) ++ getQuantiles(listener.schedulingDelayDistribution)
+ }
+ val totalDelayQuantilesRow = {
+ Seq(
+ "Total Delay",
+ formatDurationOption(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))
+ } else {
+ None
+ }
+
+ val content =
+ <h5>Batch Processing Statistics</h5> ++
--- End diff --
I noticed that here by default it only keeps track of 100 batches. It might
be good to say somewhere the number of batches currently being considered in
the UI statistics. Otherwise I'd assume (as a user) that all processed batches
are included in the statistics. So here it might be good to say "Batch
Processing Statics (last XX batches)" or something in the title.
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