optimize code for initializing Kafka consumers and processors

Signed-off-by: Rajiv Ranjan Singh <rajivperfect007@gmail.com>

src/scala/com/twitter/recos/hose/common/UnifiedGraphWriter.scala

@@ -85,50 +85,40 @@ trait UnifiedGraphWriter[
     }
   }
 
-  private def initRecosHoseKafka(
-    queue: java.util.Queue[Array[RecosHoseMessage]],
-    queuelimit: Semaphore,
-  ): Unit = {
-    try {
-      consumers = (0 until consumerNum).map { index =>
-        new ThreadSafeKafkaConsumerClient(
-          kafkaConsumerBuilder.clientId(s"clientId-$index").enableAutoCommit(false).config)
-      }
-      processors = consumers.zipWithIndex.map {
-        case (consumer, index) =>
-          val bufferedWriter = BufferedEdgeCollector(bufferSize, queue, queuelimit, statsReceiver)
-          val processor = RecosEdgeProcessor(bufferedWriter)(statsReceiver)
-
-          AtLeastOnceProcessor[String, RecosHoseMessage](
-            s"recos-injector-kafka-$index",
-            hosename,
-            consumer,
-            processor.process,
-            maxPendingRequests = MaxPendingRequests * bufferSize,
-            workerThreads = ProcessorThreads,
-            commitIntervalMs = CommitIntervalMs,
-            statsReceiver = statsReceiver
-          )
-      }
-
-      log.info(s"starting ${processors.size} recosKafka processors")
-      processors.foreach { processor =>
-        processor.start()
-      }
-    } catch {
-      case e: Throwable =>
-        e.printStackTrace()
-        log.error(e, e.toString)
-        processors.foreach { processor =>
-          processor.close()
-        }
-        processors = Seq.empty
-        consumers.foreach { consumer =>
-          consumer.close()
-        }
-        consumers = Seq.empty
+private def initRecosHoseKafka(queue: java.util.Queue[Array[RecosHoseMessage]], queuelimit: Semaphore): Unit = {
+  try {
+    val consumers = (0 until consumerNum).map { index =>
+      new ThreadSafeKafkaConsumerClient(kafkaConsumerBuilder.clientId(s"clientId-$index").enableAutoCommit(false).config)
     }
+
+    val processors = consumers.zipWithIndex.map {
+      case (consumer, index) =>
+        val bufferedWriter = BufferedEdgeCollector(bufferSize, queue, queuelimit, statsReceiver)
+        val processor = RecosEdgeProcessor(bufferedWriter)(statsReceiver)
+
+        AtLeastOnceProcessor[String, RecosHoseMessage](
+          s"recos-injector-kafka-$index",
+          hosename,
+          consumer,
+          processor.process,
+          maxPendingRequests = MaxPendingRequests * bufferSize,
+          workerThreads = ProcessorThreads,
+          commitIntervalMs = CommitIntervalMs,
+          statsReceiver = statsReceiver
+        )
+    }
+
+    log.info(s"starting ${processors.size} recosKafka processors")
+    processors.foreach(_.start())
+
+  } catch {
+    case e: Throwable =>
+      e.printStackTrace()
+      log.error(e, e.toString)
+      processors.foreach(_.close())
+      consumers.foreach(_.close())
   }
+}
 
   /**
    * Initialize the graph writers,