SPARK-1729. New Spark-Flume integration.

Minor formatting changes.

Author: harishreedharan

external/flume-sink/src/main/scala/org/apache/spark/flume/sink/SparkSink.scala

@@ -35,6 +35,7 @@ import org.apache.flume.{Channel, Transaction, FlumeException, Context}
 import org.slf4j.LoggerFactory
 
 import org.apache.spark.flume.{SparkSinkEvent, EventBatch, SparkFlumeProtocol}
+
 /**
  * A sink that uses Avro RPC to run a server that can be polled by Spark's
  * FlumePollingInputDStream. This sink has the following configuration parameters:

external/flume/src/main/scala/org/apache/spark/streaming/flume/FlumePollingInputDStream.scala

@@ -105,7 +105,9 @@ private[streaming] class FlumePollingReceiver(
           logDebug("Received batch of " + events.size() + " events with sequence number: " + seq)
           try {
             // Convert each Flume event to a serializable SparkPollingEvent
-            events.foreach(event => store(SparkFlumePollingEvent.fromSparkSinkEvent(event)))
+            events.foreach(event => {
+              store(SparkFlumePollingEvent.fromSparkSinkEvent(event))
+            })
             // Send an ack to Flume so that Flume discards the events from its channels.
             client.ack(seq)
           } catch {
@@ -153,7 +155,7 @@ private[streaming] class FlumePollingReceiver(
  * @param client The client that the callbacks are received on.
  */
 private class FlumeConnection(val transceiver: NettyTransceiver,
-                              val client: SparkFlumeProtocol.Callback)
+  val client: SparkFlumeProtocol.Callback)
 
 private[streaming] object SparkFlumePollingEvent {
   def fromSparkSinkEvent(in: SparkSinkEvent): SparkFlumePollingEvent = {
@@ -162,13 +164,14 @@ private[streaming] object SparkFlumePollingEvent {
     event
   }
 }
+
 /*
  * Unfortunately Avro does not allow including pre-compiled classes - so even though
  * SparkSinkEvent is identical to AvroFlumeEvent, we need to create a new class and a wrapper
  * around that to make it externalizable.
  */
 class SparkFlumePollingEvent() extends Externalizable with Logging {
-  var event : SparkSinkEvent = new SparkSinkEvent()
+  var event: SparkSinkEvent = new SparkSinkEvent()
 
   /* De-serialize from bytes. */
   def readExternal(in: ObjectInput) {

external/flume/src/test/scala/org/apache/spark/streaming/flume/FlumePollingReceiverSuite.scala

@@ -114,18 +114,19 @@ class FlumePollingReceiverSuite extends TestSuiteBase {
   }
 
   def writeAndVerify(channels: Seq[MemoryChannel], ssc: StreamingContext,
-                     outputBuffer: ArrayBuffer[Seq[SparkFlumePollingEvent]]) {
+    outputBuffer: ArrayBuffer[Seq[SparkFlumePollingEvent]]) {
     val clock = ssc.scheduler.clock.asInstanceOf[ManualClock]
     val executor = Executors.newCachedThreadPool()
     val executorCompletion = new ExecutorCompletionService[Void](executor)
     channels.map(channel => {
       executorCompletion.submit(new TxnSubmitter(channel, clock))
     })
-    for(i <- 0 until channels.size) {
+    for (i <- 0 until channels.size) {
       executorCompletion.take()
     }
     val startTime = System.currentTimeMillis()
-    while (outputBuffer.size < 5 * channels.size && System.currentTimeMillis() - startTime < maxWaitTimeMillis) {
+    while (outputBuffer.size < 5 * channels.size &&
+      System.currentTimeMillis() - startTime < maxWaitTimeMillis) {
       logInfo("output.size = " + outputBuffer.size)
       Thread.sleep(100)
     }
@@ -164,7 +165,8 @@ class FlumePollingReceiverSuite extends TestSuiteBase {
         val tx = channel.getTransaction
         tx.begin()
         for (j <- 0 until 5) {
-          channel.put(EventBuilder.withBody((channel.getName + " - " + String.valueOf(t)).getBytes("utf-8"),
+          channel.put(EventBuilder.withBody((channel.getName + " - " + String.valueOf(t)).getBytes(
+            "utf-8"),
             Map[String, String]("test-" + t.toString -> "header")))
           t += 1
         }
@@ -176,4 +178,5 @@ class FlumePollingReceiverSuite extends TestSuiteBase {
       null
     }
   }
+
 }