Address TD's comments

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

@@ -257,7 +257,7 @@ private class FlumeUtilsPythonHelper {
       enableDecompression: Boolean
     ): JavaPairDStream[Array[Byte], Array[Byte]] = {
     val dstream = FlumeUtils.createStream(jssc, hostname, port, storageLevel, enableDecompression)
-    FlumeUtilsPythonHelper.toDStreamForPython(dstream)
+    FlumeUtilsPythonHelper.toByteArrayPairDStream(dstream)
   }
 
   def createPollingStream(
@@ -274,7 +274,7 @@ private class FlumeUtilsPythonHelper {
     }
     val dstream = FlumeUtils.createPollingStream(
       jssc.ssc, addresses, storageLevel, maxBatchSize, parallelism)
-    FlumeUtilsPythonHelper.toDStreamForPython(dstream)
+    FlumeUtilsPythonHelper.toByteArrayPairDStream(dstream)
   }
 
 }
@@ -297,7 +297,7 @@ private object FlumeUtilsPythonHelper {
     }
   }
 
-  private def toDStreamForPython(dstream: JavaReceiverInputDStream[SparkFlumeEvent]):
+  private def toByteArrayPairDStream(dstream: JavaReceiverInputDStream[SparkFlumeEvent]):
     JavaPairDStream[Array[Byte], Array[Byte]] = {
     dstream.mapToPair(new PairFunction[SparkFlumeEvent, Array[Byte], Array[Byte]] {
       override def call(sparkEvent: SparkFlumeEvent): (Array[Byte], Array[Byte]) = {

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

@@ -37,12 +37,10 @@ import org.apache.spark.streaming.flume.sink.{SparkSinkConfig, SparkSink}
 private[flume] class PollingFlumeTestUtils {
 
   private val batchCount = 5
-  private val eventsPerBatch = 100
+  val eventsPerBatch = 100
   private val totalEventsPerChannel = batchCount * eventsPerBatch
   private val channelCapacity = 5000
 
-  def getEventsPerBatch: Int = eventsPerBatch
-
   def getTotalEvents: Int = totalEventsPerChannel * channels.size
 
   private val channels = new ArrayBuffer[MemoryChannel]

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

@@ -42,15 +42,9 @@ class FlumePollingStreamSuite extends SparkFunSuite with BeforeAndAfter with Log
   val conf = new SparkConf()
     .setMaster("local[2]")
     .setAppName(this.getClass.getSimpleName)
+    .set("spark.streaming.clock", "org.apache.spark.util.ManualClock")
 
-  var utils = new PollingFlumeTestUtils
-
-  def beforeFunction() {
-    logInfo("Using manual clock")
-    conf.set("spark.streaming.clock", "org.apache.spark.util.ManualClock")
-  }
-
-  before(beforeFunction())
+  val utils = new PollingFlumeTestUtils
 
   test("flume polling test") {
     testMultipleTimes(testFlumePolling)

python/pyspark/streaming/tests.py

@@ -771,7 +771,7 @@ def _writeAndVerify(self, ports):
             dstream = FlumeUtils.createPollingStream(
                 ssc,
                 addresses,
-                maxBatchSize=self._utils.getEventsPerBatch(),
+                maxBatchSize=self._utils.eventsPerBatch(),
                 parallelism=5)
             outputBuffer = []