Minor style updates.

Author: tdas

streaming/src/main/scala/org/apache/spark/streaming/dstream/NetworkInputDStream.scala

@@ -184,15 +184,25 @@ abstract class NetworkReceiver[T: ClassTag]() extends Serializable with Logging
   /**
    * Pushes a block (as an ArrayBuffer filled with data) into the block manager.
    */
-  def pushBlock(blockId: StreamBlockId, arrayBuffer: ArrayBuffer[T], metadata: Any, level: StorageLevel) {
+  def pushBlock(
+      blockId: StreamBlockId,
+      arrayBuffer: ArrayBuffer[T],
+      metadata: Any,
+      level: StorageLevel
+    ) {
     env.blockManager.put(blockId, arrayBuffer.asInstanceOf[ArrayBuffer[Any]], level)
     actor ! ReportBlock(blockId, arrayBuffer.size, metadata)
   }
 
   /**
    * Pushes a block (as bytes) into the block manager.
    */
-  def pushBlock(blockId: StreamBlockId, bytes: ByteBuffer, metadata: Any, level: StorageLevel) {
+  def pushBlock(
+      blockId: StreamBlockId,
+      bytes: ByteBuffer,
+      metadata: Any,
+      level: StorageLevel
+    ) {
     env.blockManager.putBytes(blockId, bytes, level)
     actor ! ReportBlock(blockId, -1 , metadata)
   }

streaming/src/main/scala/org/apache/spark/streaming/ui/StreamingUI.scala

@@ -105,8 +105,13 @@ private[ui] class StreamingUIListener(ssc: StreamingContext) extends StreamingLi
     val latestBatchInfos = allBatches.reverse.take(batchInfoLimit)
     val latestBlockInfos = latestBatchInfos.map(_.receivedBlockInfo)
     (0 until numNetworkReceivers).map { receiverId =>
-      val blockInfoOfParticularReceiver = latestBlockInfos.map(_.get(receiverId).getOrElse(Array.empty))
-      val recordsOfParticularReceiver = blockInfoOfParticularReceiver.map(_.map(_.numRecords).sum.toDouble * 1000 / batchDuration)
+      val blockInfoOfParticularReceiver = latestBlockInfos.map { batchInfo =>
+        batchInfo.get(receiverId).getOrElse(Array.empty)
+      }
+      val recordsOfParticularReceiver = blockInfoOfParticularReceiver.map { blockInfo =>
+        // calculate records per second for each batch
+        blockInfo.map(_.numRecords).sum.toDouble * 1000 / batchDuration
+      }
       val distributionOption = Distribution(recordsOfParticularReceiver)
       (receiverId, distributionOption)
     }.toMap
@@ -231,16 +236,24 @@ private[ui] class StreamingPage(parent: StreamingUI) extends Logging {
     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 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(

streaming/src/main/scala/org/apache/spark/streaming/ui/UIUtils.scala

@@ -45,7 +45,7 @@ private[spark] object UIUtils {
         <script type="text/JavaScript">
           <!--
           function timedRefresh(timeoutPeriod) {
-	          setTimeout("location.reload(true);",timeoutPeriod);
+            setTimeout("location.reload(true);",timeoutPeriod);
           }
           //   -->
         </script>

streaming/src/test/scala/org/apache/spark/streaming/UISuite.scala

@@ -25,7 +25,7 @@ import scala.util.Random
 
 class UISuite extends FunSuite with BeforeAndAfterAll {
 
-  test("Testing") {
+  ignore("Testing") {
     runStreaming(1000000)
   }
 
@@ -58,12 +58,4 @@ class FunctionBasedInputDStream[T: ClassTag](
   def stop(): Unit = {}
 
   def compute(validTime: Time): Option[RDD[T]] = function(ssc, validTime)
-}
-
-
-
-
-
-
-
-
+}