Removed the receiver's locks and essentially reverted to Saisai's original design.

Author: tdas

external/kafka/src/main/scala/org/apache/spark/streaming/kafka/ReliableKafkaReceiver.scala

@@ -178,17 +178,23 @@ class ReliableKafkaReceiver[
 
   /** Store a Kafka message and the associated metadata as a tuple. */
   private def storeMessageAndMetadata(
-      msgAndMetadata: MessageAndMetadata[K, V]): Unit = synchronized {
+      msgAndMetadata: MessageAndMetadata[K, V]): Unit = {
     val topicAndPartition = TopicAndPartition(msgAndMetadata.topic, msgAndMetadata.partition)
-    blockGenerator += ((msgAndMetadata.key, msgAndMetadata.message))
-    topicPartitionOffsetMap.put(topicAndPartition, msgAndMetadata.offset)
+    val data = (msgAndMetadata.key, msgAndMetadata.message)
+    val metadata = (topicAndPartition, msgAndMetadata.offset)
+    blockGenerator.addDataWithCallback(data, metadata)
+  }
+
+  /** Update stored offset */
+  private def updateOffset(topicAndPartition: TopicAndPartition, offset: Long): Unit = {
+    topicPartitionOffsetMap.put(topicAndPartition, offset)
   }
 
   /**
    * Remember the current offsets for each topic and partition. This is called when a block is
    * generated.
    */
-  private def rememberBlockOffsets(blockId: StreamBlockId): Unit = synchronized {
+  private def rememberBlockOffsets(blockId: StreamBlockId): Unit = {
     // Get a snapshot of current offset map and store with related block id.
     val offsetSnapshot = topicPartitionOffsetMap.toMap
     blockOffsetMap.put(blockId, offsetSnapshot)
@@ -250,17 +256,25 @@ class ReliableKafkaReceiver[
   /** Class to handle blocks generated by the block generator. */
   private final class GeneratedBlockHandler extends BlockGeneratorListener {
 
-    override def onGenerateBlock(blockId: StreamBlockId): Unit = {
+    def onAddData(data: Any, metadata: Any): Unit = {
+      // Update the offset of the data that was added to the generator
+      if (metadata != null) {
+        val (topicAndPartition, offset) = metadata.asInstanceOf[(TopicAndPartition, Long)]
+        updateOffset(topicAndPartition, offset)
+      }
+    }
+
+    def onGenerateBlock(blockId: StreamBlockId): Unit = {
       // Remember the offsets of topics/partitions when a block has been generated
       rememberBlockOffsets(blockId)
     }
 
-    override def onPushBlock(blockId: StreamBlockId, arrayBuffer: mutable.ArrayBuffer[_]): Unit = {
+    def onPushBlock(blockId: StreamBlockId, arrayBuffer: mutable.ArrayBuffer[_]): Unit = {
       // Store block and commit the blocks offset
       storeBlockAndCommitOffset(blockId, arrayBuffer)
     }
 
-    override def onError(message: String, throwable: Throwable): Unit = {
+    def onError(message: String, throwable: Throwable): Unit = {
       reportError(message, throwable)
     }
   }

external/kafka/src/test/java/org/apache/spark/streaming/kafka/JavaKafkaStreamSuite.java

@@ -22,6 +22,8 @@
 import java.util.List;
 import java.util.Random;
 
+import org.apache.spark.SparkConf;
+import org.apache.spark.streaming.Duration;
 import scala.Predef;
 import scala.Tuple2;
 import scala.collection.JavaConverters;
@@ -43,23 +45,25 @@
 
 public class JavaKafkaStreamSuite implements Serializable {
   private transient JavaStreamingContext ssc = null;
-  private Random random = new Random();
+  private transient Random random = new Random();
   private transient KafkaStreamSuiteBase suiteBase = null;
 
   @Before
   public void setUp() {
     suiteBase = new KafkaStreamSuiteBase() { };
-    suiteBase.beforeFunction();
+    suiteBase.setupKafka();
     System.clearProperty("spark.driver.port");
-    ssc = new JavaStreamingContext(suiteBase.sparkConf(), suiteBase.batchDuration());
+    SparkConf sparkConf = new SparkConf()
+      .setMaster("local[4]").setAppName(this.getClass().getSimpleName());
+    ssc = new JavaStreamingContext(sparkConf, new Duration(500));
   }
 
   @After
   public void tearDown() {
     ssc.stop();
     ssc = null;
     System.clearProperty("spark.driver.port");
-    suiteBase.afterFunction();
+    suiteBase.tearDownKafka();
   }
 
   @Test
@@ -76,8 +80,8 @@ public void testKafkaStream() throws InterruptedException {
     suiteBase.createTopic(topic);
     HashMap<String, Object> tmp = new HashMap<String, Object>(sent);
     suiteBase.produceAndSendMessage(topic,
-      JavaConverters.mapAsScalaMapConverter(tmp).asScala().toMap(
-        Predef.<Tuple2<String, Object>>conforms()));
+            JavaConverters.mapAsScalaMapConverter(tmp).asScala().toMap(
+                    Predef.<Tuple2<String, Object>>conforms()));
 
     HashMap<String, String> kafkaParams = new HashMap<String, String>();
     kafkaParams.put("zookeeper.connect", suiteBase.zkAddress());

external/kafka/src/test/scala/org/apache/spark/streaming/kafka/KafkaStreamSuite.scala

@@ -42,15 +42,13 @@ import org.apache.spark.storage.StorageLevel
 import org.apache.spark.streaming.{Milliseconds, StreamingContext}
 import org.apache.spark.util.Utils
 
+/**
+ * This is an abstract base class for Kafka testsuites. This has the functionality to set up
+ * and tear down local Kafka servers, and to push data using Kafka producers.
+ */
 abstract class KafkaStreamSuiteBase extends FunSuite with Logging {
   import KafkaTestUtils._
 
-  val sparkConf = new SparkConf()
-    .setMaster("local[4]")
-    .setAppName(this.getClass.getSimpleName)
-  val batchDuration = Milliseconds(500)
-  var ssc: StreamingContext = _
-  
   var zkAddress: String = _
   var zkClient: ZkClient = _
 
@@ -64,7 +62,7 @@ abstract class KafkaStreamSuiteBase extends FunSuite with Logging {
   private var server: KafkaServer = _
   private var producer: Producer[String, String] = _
 
-  def beforeFunction() {
+  def setupKafka() {
     // Zookeeper server startup
     zookeeper = new EmbeddedZookeeper(s"$zkHost:$zkPort")
     // Get the actual zookeeper binding port
@@ -100,12 +98,7 @@ abstract class KafkaStreamSuiteBase extends FunSuite with Logging {
     logInfo("==================== 4 ====================")
   }
 
-  def afterFunction() {
-    if (ssc != null) {
-      ssc.stop()
-      ssc = null
-    }
-
+  def tearDownKafka() {
     if (producer != null) {
       producer.close()
       producer = null
@@ -146,21 +139,31 @@ abstract class KafkaStreamSuiteBase extends FunSuite with Logging {
 
   def produceAndSendMessage(topic: String, sent: Map[String, Int]) {
     val brokerAddr = brokerConf.hostName + ":" + brokerConf.port
-    if (producer == null) {
-      producer = new Producer[String, String](new ProducerConfig(getProducerConfig(brokerAddr)))
-    }
+    producer = new Producer[String, String](new ProducerConfig(getProducerConfig(brokerAddr)))
     producer.send(createTestMessage(topic, sent): _*)
+    producer.close()
     logInfo("==================== 6 ====================")
   }
 }
 
 class KafkaStreamSuite extends KafkaStreamSuiteBase with BeforeAndAfter with Eventually {
+  var ssc: StreamingContext = _
+
+  before {
+    setupKafka()
+  }
 
-  before { beforeFunction() }
-  after { afterFunction() }
+  after {
+    if (ssc != null) {
+      ssc.stop()
+      ssc = null
+    }
+    tearDownKafka()
+  }
 
   test("Kafka input stream") {
-    ssc = new StreamingContext(sparkConf, batchDuration)
+    val sparkConf = new SparkConf().setMaster("local[4]").setAppName(this.getClass.getSimpleName)
+    ssc = new StreamingContext(sparkConf, Milliseconds(500))
     val topic = "topic1"
     val sent = Map("a" -> 5, "b" -> 3, "c" -> 10)
     createTopic(topic)

external/kafka/src/test/scala/org/apache/spark/streaming/kafka/ReliableKafkaStreamSuite.scala

@@ -17,57 +17,75 @@
 
 package org.apache.spark.streaming.kafka
 
+
 import java.io.File
 
 import scala.collection.mutable
 import scala.concurrent.duration._
 import scala.language.postfixOps
 import scala.util.Random
 
+import com.google.common.io.Files
 import kafka.serializer.StringDecoder
 import kafka.utils.{ZKGroupTopicDirs, ZkUtils}
+import org.apache.commons.io.FileUtils
 import org.scalatest.BeforeAndAfter
 import org.scalatest.concurrent.Eventually
 
+import org.apache.spark.SparkConf
 import org.apache.spark.storage.StorageLevel
-import org.apache.spark.streaming.StreamingContext
-import org.apache.spark.util.Utils
+import org.apache.spark.streaming.{Milliseconds, StreamingContext}
 
 class ReliableKafkaStreamSuite extends KafkaStreamSuiteBase with BeforeAndAfter with Eventually {
-  val topic = "topic"
+
+  val sparkConf = new SparkConf()
+    .setMaster("local[4]")
+    .setAppName(this.getClass.getSimpleName)
+    .set("spark.streaming.receiver.writeAheadLog.enable", "true")
   val data = Map("a" -> 10, "b" -> 10, "c" -> 10)
+
+  var topic: String = _
   var groupId: String = _
   var kafkaParams: Map[String, String] = _
+  var ssc: StreamingContext = _
+  var tempDirectory: File = null
 
   before {
-    beforeFunction()  // call this first to start ZK and Kafka
+    setupKafka()
+    topic = s"test-topic-${Random.nextInt(10000)}"
     groupId = s"test-consumer-${Random.nextInt(10000)}"
     kafkaParams = Map(
       "zookeeper.connect" -> zkAddress,
       "group.id" -> groupId,
       "auto.offset.reset" -> "smallest"
     )
+
+    ssc = new StreamingContext(sparkConf, Milliseconds(500))
+    tempDirectory = Files.createTempDir()
+    ssc.checkpoint(tempDirectory.getAbsolutePath)
   }
 
   after {
-    afterFunction()
+    if (ssc != null) {
+      ssc.stop()
+    }
+    if (tempDirectory != null && tempDirectory.exists()) {
+      FileUtils.deleteDirectory(tempDirectory)
+      tempDirectory = null
+    }
+    tearDownKafka()
   }
 
-  test("Reliable Kafka input stream") {
-    sparkConf.set("spark.streaming.receiver.writeAheadLog.enable", "true")
-    ssc = new StreamingContext(sparkConf, batchDuration)
-    val checkpointDir = s"${System.getProperty("java.io.tmpdir", "/tmp")}/" +
-      s"test-checkpoint${Random.nextInt(10000)}"
-    Utils.registerShutdownDeleteDir(new File(checkpointDir))
-    ssc.checkpoint(checkpointDir)
+
+  test("Reliable Kafka input stream with single topic") {
     createTopic(topic)
     produceAndSendMessage(topic, data)
 
+    // Verify whether the offset of this group/topic/partition is 0 before starting.
+    assert(getCommitOffset(groupId, topic, 0) === None)
+
     val stream = KafkaUtils.createStream[String, String, StringDecoder, StringDecoder](
-      ssc,
-      kafkaParams,
-      Map(topic -> 1),
-      StorageLevel.MEMORY_ONLY)
+      ssc, kafkaParams, Map(topic -> 1), StorageLevel.MEMORY_ONLY)
     val result = new mutable.HashMap[String, Long]()
     stream.map { case (k, v) => v }.foreachRDD { r =>
         val ret = r.collect()
@@ -77,84 +95,64 @@ class ReliableKafkaStreamSuite extends KafkaStreamSuiteBase with BeforeAndAfter
         }
       }
     ssc.start()
-    eventually(timeout(10000 milliseconds), interval(100 milliseconds)) {
+
+    eventually(timeout(20000 milliseconds), interval(200 milliseconds)) {
       // A basic process verification for ReliableKafkaReceiver.
       // Verify whether received message number is equal to the sent message number.
       assert(data.size === result.size)
       // Verify whether each message is the same as the data to be verified.
       data.keys.foreach { k => assert(data(k) === result(k).toInt) }
+      // Verify the offset number whether it is equal to the total message number.
+      assert(getCommitOffset(groupId, topic, 0) === Some(29L))
+
     }
     ssc.stop()
   }
+/*
   test("Verify the offset commit") {
     // Verify the correctness of offset commit mechanism.
-    sparkConf.set("spark.streaming.receiver.writeAheadLog.enable", "true")
-    ssc = new StreamingContext(sparkConf, batchDuration)
-    val checkpointDir = s"${System.getProperty("java.io.tmpdir", "/tmp")}/" +
-      s"test-checkpoint${Random.nextInt(10000)}"
-    Utils.registerShutdownDeleteDir(new File(checkpointDir))
-    ssc.checkpoint(checkpointDir)
-
     createTopic(topic)
     produceAndSendMessage(topic, data)
 
-    // Verify whether the offset of this group/topic/partition is 0 before starting.
-    assert(getCommitOffset(groupId, topic, 0) === 0L)
-
     // Do this to consume all the message of this group/topic.
     val stream = KafkaUtils.createStream[String, String, StringDecoder, StringDecoder](
-      ssc,
-      kafkaParams,
-      Map(topic -> 1),
-      StorageLevel.MEMORY_ONLY)
+      ssc, kafkaParams, Map(topic -> 1), StorageLevel.MEMORY_ONLY)
     stream.foreachRDD(_ => Unit)
     ssc.start()
-    eventually(timeout(3000 milliseconds), interval(100 milliseconds)) {
-      // Verify the offset number whether it is equal to the total message number.
-      assert(getCommitOffset(groupId, topic, 0) === 29L)
+    eventually(timeout(20000 milliseconds), interval(200 milliseconds)) {
     }
     ssc.stop()
   }
-
-  test("Verify multiple topics offset commit") {
-    sparkConf.set("spark.streaming.receiver.writeAheadLog.enable", "true")
-    ssc = new StreamingContext(sparkConf, batchDuration)
-    val checkpointDir = s"${System.getProperty("java.io.tmpdir", "/tmp")}/" +
-      s"test-checkpoint${Random.nextInt(10000)}"
-    Utils.registerShutdownDeleteDir(new File(checkpointDir))
-    ssc.checkpoint(checkpointDir)
-
+*/
+  test("Reliable Kafka input stream with multiple topics") {
     val topics = Map("topic1" -> 1, "topic2" -> 1, "topic3" -> 1)
     topics.foreach { case (t, _) =>
       createTopic(t)
       produceAndSendMessage(t, data)
     }
 
     // Before started, verify all the group/topic/partition offsets are 0.
-    topics.foreach { case (t, _) => assert(getCommitOffset(groupId, t, 0) === 0L) }
+    topics.foreach { case (t, _) => assert(getCommitOffset(groupId, t, 0) === None) }
 
     // Consuming all the data sent to the broker which will potential commit the offsets internally.
     val stream = KafkaUtils.createStream[String, String, StringDecoder, StringDecoder](
-      ssc,
-      kafkaParams,
-      topics,
-      StorageLevel.MEMORY_ONLY)
+      ssc, kafkaParams, topics, StorageLevel.MEMORY_ONLY)
     stream.foreachRDD(_ => Unit)
     ssc.start()
-    eventually(timeout(3000 milliseconds), interval(100 milliseconds)) {
+    eventually(timeout(20000 milliseconds), interval(100 milliseconds)) {
       // Verify the offset for each group/topic to see whether they are equal to the expected one.
-      topics.foreach { case (t, _) => assert(getCommitOffset(groupId, t, 0) === 29L) }
+      topics.foreach { case (t, _) => assert(getCommitOffset(groupId, t, 0) === Some(29L)) }
     }
     ssc.stop()
   }
 
+
   /** Getting partition offset from Zookeeper. */
-  private def getCommitOffset(groupId: String, topic: String, partition: Int): Long = {
+  private def getCommitOffset(groupId: String, topic: String, partition: Int): Option[Long] = {
     assert(zkClient != null, "Zookeeper client is not initialized")
-
     val topicDirs = new ZKGroupTopicDirs(groupId, topic)
     val zkPath = s"${topicDirs.consumerOffsetDir}/$partition"
-
-    ZkUtils.readDataMaybeNull(zkClient, zkPath)._1.map(_.toLong).getOrElse(0L)
+    val offset = ZkUtils.readDataMaybeNull(zkClient, zkPath)._1.map(_.toLong)
+    offset
   }
 }