diff --git a/streaming/src/main/scala/org/apache/spark/streaming/dstream/ReceiverInputDStream.scala b/streaming/src/main/scala/org/apache/spark/streaming/dstream/ReceiverInputDStream.scala
index 391e40924f..bb47d373de 100644
--- a/streaming/src/main/scala/org/apache/spark/streaming/dstream/ReceiverInputDStream.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/dstream/ReceiverInputDStream.scala
@@ -23,8 +23,9 @@ import scala.reflect.ClassTag
 import org.apache.spark.rdd.{BlockRDD, RDD}
 import org.apache.spark.storage.BlockId
 import org.apache.spark.streaming._
-import org.apache.spark.streaming.receiver.Receiver
+import org.apache.spark.streaming.receiver.{WriteAheadLogBasedStoreResult, BlockManagerBasedStoreResult, Receiver}
 import org.apache.spark.streaming.scheduler.ReceivedBlockInfo
+import org.apache.spark.SparkException
 
 /**
  * Abstract class for defining any [[org.apache.spark.streaming.dstream.InputDStream]]
@@ -65,10 +66,10 @@ abstract class ReceiverInputDStream[T: ClassTag](@transient ssc_ : StreamingCont
     if (validTime >= graph.startTime) {
       val blockInfo = ssc.scheduler.receiverTracker.getReceivedBlockInfo(id)
       receivedBlockInfo(validTime) = blockInfo
-      val blockIds = blockInfo.map(_.blockId.asInstanceOf[BlockId])
+      val blockIds = blockInfo.map { _.blockStoreResult.blockId.asInstanceOf[BlockId] }
       Some(new BlockRDD[T](ssc.sc, blockIds))
     } else {
-      Some(new BlockRDD[T](ssc.sc, Array[BlockId]()))
+      Some(new BlockRDD[T](ssc.sc, Array.empty))
     }
   }
 
diff --git a/streaming/src/main/scala/org/apache/spark/streaming/receiver/ReceivedBlock.scala b/streaming/src/main/scala/org/apache/spark/streaming/receiver/ReceivedBlock.scala
new file mode 100644
index 0000000000..47968afef2
--- /dev/null
+++ b/streaming/src/main/scala/org/apache/spark/streaming/receiver/ReceivedBlock.scala
@@ -0,0 +1,35 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.streaming.receiver
+
+import java.nio.ByteBuffer
+
+import scala.collection.mutable.ArrayBuffer
+import scala.language.existentials
+
+/** Trait representing a received block */
+private[streaming] sealed trait ReceivedBlock
+
+/** class representing a block received as an ArrayBuffer */
+private[streaming] case class ArrayBufferBlock(arrayBuffer: ArrayBuffer[_]) extends ReceivedBlock
+
+/** class representing a block received as an Iterator */
+private[streaming] case class IteratorBlock(iterator: Iterator[_]) extends ReceivedBlock
+
+/** class representing a block received as an ByteBuffer */
+private[streaming] case class ByteBufferBlock(byteBuffer: ByteBuffer) extends ReceivedBlock
diff --git a/streaming/src/main/scala/org/apache/spark/streaming/receiver/ReceivedBlockHandler.scala b/streaming/src/main/scala/org/apache/spark/streaming/receiver/ReceivedBlockHandler.scala
new file mode 100644
index 0000000000..fdf995320b
--- /dev/null
+++ b/streaming/src/main/scala/org/apache/spark/streaming/receiver/ReceivedBlockHandler.scala
@@ -0,0 +1,193 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.streaming.receiver
+
+import scala.concurrent.{Await, ExecutionContext, Future}
+import scala.concurrent.duration._
+import scala.language.{existentials, postfixOps}
+
+import WriteAheadLogBasedBlockHandler._
+import org.apache.hadoop.conf.Configuration
+import org.apache.hadoop.fs.Path
+
+import org.apache.spark.{Logging, SparkConf, SparkException}
+import org.apache.spark.storage._
+import org.apache.spark.streaming.util.{Clock, SystemClock, WriteAheadLogFileSegment, WriteAheadLogManager}
+import org.apache.spark.util.Utils
+
+/** Trait that represents the metadata related to storage of blocks */
+private[streaming] trait ReceivedBlockStoreResult {
+  def blockId: StreamBlockId  // Any implementation of this trait will store a block id
+}
+
+/** Trait that represents a class that handles the storage of blocks received by receiver */
+private[streaming] trait ReceivedBlockHandler {
+
+  /** Store a received block with the given block id and return related metadata */
+  def storeBlock(blockId: StreamBlockId, receivedBlock: ReceivedBlock): ReceivedBlockStoreResult
+
+  /** Cleanup old blocks older than the given threshold time */
+  def cleanupOldBlock(threshTime: Long)
+}
+
+
+/**
+ * Implementation of [[org.apache.spark.streaming.receiver.ReceivedBlockStoreResult]]
+ * that stores the metadata related to storage of blocks using
+ * [[org.apache.spark.streaming.receiver.BlockManagerBasedBlockHandler]]
+ */
+private[streaming] case class BlockManagerBasedStoreResult(blockId: StreamBlockId)
+  extends ReceivedBlockStoreResult
+
+
+/**
+ * Implementation of a [[org.apache.spark.streaming.receiver.ReceivedBlockHandler]] which
+ * stores the received blocks into a block manager with the specified storage level.
+ */
+private[streaming] class BlockManagerBasedBlockHandler(
+    blockManager: BlockManager, storageLevel: StorageLevel)
+  extends ReceivedBlockHandler with Logging {
+  
+  def storeBlock(blockId: StreamBlockId, block: ReceivedBlock): ReceivedBlockStoreResult = {
+    val putResult: Seq[(BlockId, BlockStatus)] = block match {
+      case ArrayBufferBlock(arrayBuffer) =>
+        blockManager.putIterator(blockId, arrayBuffer.iterator, storageLevel, tellMaster = true)
+      case IteratorBlock(iterator) =>
+        blockManager.putIterator(blockId, iterator, storageLevel, tellMaster = true)
+      case ByteBufferBlock(byteBuffer) =>
+        blockManager.putBytes(blockId, byteBuffer, storageLevel, tellMaster = true)
+      case o =>
+        throw new SparkException(
+          s"Could not store $blockId to block manager, unexpected block type ${o.getClass.getName}")
+    }
+    if (!putResult.map { _._1 }.contains(blockId)) {
+      throw new SparkException(
+        s"Could not store $blockId to block manager with storage level $storageLevel")
+    }
+    BlockManagerBasedStoreResult(blockId)
+  }
+
+  def cleanupOldBlock(threshTime: Long) {
+    // this is not used as blocks inserted into the BlockManager are cleared by DStream's clearing
+    // of BlockRDDs.
+  }
+}
+
+
+/**
+ * Implementation of [[org.apache.spark.streaming.receiver.ReceivedBlockStoreResult]]
+ * that stores the metadata related to storage of blocks using
+ * [[org.apache.spark.streaming.receiver.WriteAheadLogBasedBlockHandler]]
+ */
+private[streaming] case class WriteAheadLogBasedStoreResult(
+    blockId: StreamBlockId,
+    segment: WriteAheadLogFileSegment
+  ) extends ReceivedBlockStoreResult
+
+
+/**
+ * Implementation of a [[org.apache.spark.streaming.receiver.ReceivedBlockHandler]] which
+ * stores the received blocks in both, a write ahead log and a block manager.
+ */
+private[streaming] class WriteAheadLogBasedBlockHandler(
+    blockManager: BlockManager,
+    streamId: Int,
+    storageLevel: StorageLevel,
+    conf: SparkConf,
+    hadoopConf: Configuration,
+    checkpointDir: String,
+    clock: Clock = new SystemClock
+  ) extends ReceivedBlockHandler with Logging {
+
+  private val blockStoreTimeout = conf.getInt(
+    "spark.streaming.receiver.blockStoreTimeout", 30).seconds
+  private val rollingInterval = conf.getInt(
+    "spark.streaming.receiver.writeAheadLog.rollingInterval", 60)
+  private val maxFailures = conf.getInt(
+    "spark.streaming.receiver.writeAheadLog.maxFailures", 3)
+
+  // Manages rolling log files
+  private val logManager = new WriteAheadLogManager(
+    checkpointDirToLogDir(checkpointDir, streamId),
+    hadoopConf, rollingInterval, maxFailures,
+    callerName = this.getClass.getSimpleName,
+    clock = clock
+  )
+
+  // For processing futures used in parallel block storing into block manager and write ahead log
+  // # threads = 2, so that both writing to BM and WAL can proceed in parallel
+  implicit private val executionContext = ExecutionContext.fromExecutorService(
+    Utils.newDaemonFixedThreadPool(2, this.getClass.getSimpleName))
+
+  /**
+   * This implementation stores the block into the block manager as well as a write ahead log.
+   * It does this in parallel, using Scala Futures, and returns only after the block has
+   * been stored in both places.
+   */
+  def storeBlock(blockId: StreamBlockId, block: ReceivedBlock): ReceivedBlockStoreResult = {
+
+    // Serialize the block so that it can be inserted into both
+    val serializedBlock = block match {
+      case ArrayBufferBlock(arrayBuffer) =>
+        blockManager.dataSerialize(blockId, arrayBuffer.iterator)
+      case IteratorBlock(iterator) =>
+        blockManager.dataSerialize(blockId, iterator)
+      case ByteBufferBlock(byteBuffer) =>
+        byteBuffer
+      case _ =>
+        throw new Exception(s"Could not push $blockId to block manager, unexpected block type")
+    }
+
+    // Store the block in block manager
+    val storeInBlockManagerFuture = Future {
+      val putResult =
+        blockManager.putBytes(blockId, serializedBlock, storageLevel, tellMaster = true)
+      if (!putResult.map { _._1 }.contains(blockId)) {
+        throw new SparkException(
+          s"Could not store $blockId to block manager with storage level $storageLevel")
+      }
+    }
+
+    // Store the block in write ahead log
+    val storeInWriteAheadLogFuture = Future {
+      logManager.writeToLog(serializedBlock)
+    }
+
+    // Combine the futures, wait for both to complete, and return the write ahead log segment
+    val combinedFuture = for {
+      _ <- storeInBlockManagerFuture
+      fileSegment <- storeInWriteAheadLogFuture
+    } yield fileSegment
+    val segment = Await.result(combinedFuture, blockStoreTimeout)
+    WriteAheadLogBasedStoreResult(blockId, segment)
+  }
+
+  def cleanupOldBlock(threshTime: Long) {
+    logManager.cleanupOldLogs(threshTime)
+  }
+
+  def stop() {
+    logManager.stop()
+  }
+}
+
+private[streaming] object WriteAheadLogBasedBlockHandler {
+  def checkpointDirToLogDir(checkpointDir: String, streamId: Int): String = {
+    new Path(checkpointDir, new Path("receivedData", streamId.toString)).toString
+  }
+}
diff --git a/streaming/src/main/scala/org/apache/spark/streaming/receiver/ReceiverSupervisorImpl.scala b/streaming/src/main/scala/org/apache/spark/streaming/receiver/ReceiverSupervisorImpl.scala
index 53a3e6200e..5360412330 100644
--- a/streaming/src/main/scala/org/apache/spark/streaming/receiver/ReceiverSupervisorImpl.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/receiver/ReceiverSupervisorImpl.scala
@@ -25,16 +25,13 @@ import scala.concurrent.Await
 
 import akka.actor.{Actor, Props}
 import akka.pattern.ask
-
 import com.google.common.base.Throwables
-
-import org.apache.spark.{Logging, SparkEnv}
-import org.apache.spark.streaming.scheduler._
-import org.apache.spark.util.{Utils, AkkaUtils}
+import org.apache.hadoop.conf.Configuration
+import org.apache.spark.{Logging, SparkEnv, SparkException}
 import org.apache.spark.storage.StreamBlockId
-import org.apache.spark.streaming.scheduler.DeregisterReceiver
-import org.apache.spark.streaming.scheduler.AddBlock
-import org.apache.spark.streaming.scheduler.RegisterReceiver
+import org.apache.spark.streaming.scheduler._
+import org.apache.spark.streaming.util.WriteAheadLogFileSegment
+import org.apache.spark.util.{AkkaUtils, Utils}
 
 /**
  * Concrete implementation of [[org.apache.spark.streaming.receiver.ReceiverSupervisor]]
@@ -44,12 +41,26 @@ import org.apache.spark.streaming.scheduler.RegisterReceiver
  */
 private[streaming] class ReceiverSupervisorImpl(
     receiver: Receiver[_],
-    env: SparkEnv
+    env: SparkEnv,
+    hadoopConf: Configuration,
+    checkpointDirOption: Option[String]
   ) extends ReceiverSupervisor(receiver, env.conf) with Logging {
 
-  private val blockManager = env.blockManager
+  private val receivedBlockHandler: ReceivedBlockHandler = {
+    if (env.conf.getBoolean("spark.streaming.receiver.writeAheadLog.enable", false)) {
+      if (checkpointDirOption.isEmpty) {
+        throw new SparkException(
+          "Cannot enable receiver write-ahead log without checkpoint directory set. " +
+            "Please use streamingContext.checkpoint() to set the checkpoint directory. " +
+            "See documentation for more details.")
+      }
+      new WriteAheadLogBasedBlockHandler(env.blockManager, receiver.streamId,
+        receiver.storageLevel, env.conf, hadoopConf, checkpointDirOption.get)
+    } else {
+      new BlockManagerBasedBlockHandler(env.blockManager, receiver.storageLevel)
+    }
+  }
 
-  private val storageLevel = receiver.storageLevel
 
   /** Remote Akka actor for the ReceiverTracker */
   private val trackerActor = {
@@ -105,47 +116,50 @@ private[streaming] class ReceiverSupervisorImpl(
   /** Store an ArrayBuffer of received data as a data block into Spark's memory. */
   def pushArrayBuffer(
       arrayBuffer: ArrayBuffer[_],
-      optionalMetadata: Option[Any],
-      optionalBlockId: Option[StreamBlockId]
+      metadataOption: Option[Any],
+      blockIdOption: Option[StreamBlockId]
     ) {
-    val blockId = optionalBlockId.getOrElse(nextBlockId)
-    val time = System.currentTimeMillis
-    blockManager.putArray(blockId, arrayBuffer.toArray[Any], storageLevel, tellMaster = true)
-    logDebug("Pushed block " + blockId + " in " + (System.currentTimeMillis - time)  + " ms")
-    reportPushedBlock(blockId, arrayBuffer.size, optionalMetadata)
+    pushAndReportBlock(ArrayBufferBlock(arrayBuffer), metadataOption, blockIdOption)
   }
 
   /** Store a iterator of received data as a data block into Spark's memory. */
   def pushIterator(
       iterator: Iterator[_],
-      optionalMetadata: Option[Any],
-      optionalBlockId: Option[StreamBlockId]
+      metadataOption: Option[Any],
+      blockIdOption: Option[StreamBlockId]
     ) {
-    val blockId = optionalBlockId.getOrElse(nextBlockId)
-    val time = System.currentTimeMillis
-    blockManager.putIterator(blockId, iterator, storageLevel, tellMaster = true)
-    logDebug("Pushed block " + blockId + " in " + (System.currentTimeMillis - time)  + " ms")
-    reportPushedBlock(blockId, -1, optionalMetadata)
+    pushAndReportBlock(IteratorBlock(iterator), metadataOption, blockIdOption)
   }
 
   /** Store the bytes of received data as a data block into Spark's memory. */
   def pushBytes(
       bytes: ByteBuffer,
-      optionalMetadata: Option[Any],
-      optionalBlockId: Option[StreamBlockId]
+      metadataOption: Option[Any],
+      blockIdOption: Option[StreamBlockId]
     ) {
-    val blockId = optionalBlockId.getOrElse(nextBlockId)
-    val time = System.currentTimeMillis
-    blockManager.putBytes(blockId, bytes, storageLevel, tellMaster = true)
-    logDebug("Pushed block " + blockId + " in " + (System.currentTimeMillis - time)  + " ms")
-    reportPushedBlock(blockId, -1, optionalMetadata)
+    pushAndReportBlock(ByteBufferBlock(bytes), metadataOption, blockIdOption)
   }
 
-  /** Report pushed block */
-  def reportPushedBlock(blockId: StreamBlockId, numRecords: Long, optionalMetadata: Option[Any]) {
-    val blockInfo = ReceivedBlockInfo(streamId, blockId, numRecords, optionalMetadata.orNull)
-    trackerActor ! AddBlock(blockInfo)
-    logDebug("Reported block " + blockId)
+  /** Store block and report it to driver */
+  def pushAndReportBlock(
+      receivedBlock: ReceivedBlock,
+      metadataOption: Option[Any],
+      blockIdOption: Option[StreamBlockId]
+    ) {
+    val blockId = blockIdOption.getOrElse(nextBlockId)
+    val numRecords = receivedBlock match {
+      case ArrayBufferBlock(arrayBuffer) => arrayBuffer.size
+      case _ => -1
+    }
+
+    val time = System.currentTimeMillis
+    val blockStoreResult = receivedBlockHandler.storeBlock(blockId, receivedBlock)
+    logDebug(s"Pushed block $blockId in ${(System.currentTimeMillis - time)} ms")
+
+    val blockInfo = ReceivedBlockInfo(streamId, numRecords, blockStoreResult)
+    val future = trackerActor.ask(AddBlock(blockInfo))(askTimeout)
+    Await.result(future, askTimeout)
+    logDebug(s"Reported block $blockId")
   }
 
   /** Report error to the receiver tracker */
diff --git a/streaming/src/main/scala/org/apache/spark/streaming/scheduler/BatchInfo.scala b/streaming/src/main/scala/org/apache/spark/streaming/scheduler/BatchInfo.scala
index a68aecb881..92dc113f39 100644
--- a/streaming/src/main/scala/org/apache/spark/streaming/scheduler/BatchInfo.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/scheduler/BatchInfo.scala
@@ -17,8 +17,8 @@
 
 package org.apache.spark.streaming.scheduler
 
-import org.apache.spark.streaming.Time
 import org.apache.spark.annotation.DeveloperApi
+import org.apache.spark.streaming.Time
 
 /**
  * :: DeveloperApi ::
diff --git a/streaming/src/main/scala/org/apache/spark/streaming/scheduler/JobSet.scala b/streaming/src/main/scala/org/apache/spark/streaming/scheduler/JobSet.scala
index a69d743621..8c15a75b1b 100644
--- a/streaming/src/main/scala/org/apache/spark/streaming/scheduler/JobSet.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/scheduler/JobSet.scala
@@ -17,7 +17,8 @@
 
 package org.apache.spark.streaming.scheduler
 
-import scala.collection.mutable.{ArrayBuffer, HashSet}
+import scala.collection.mutable.HashSet
+
 import org.apache.spark.streaming.Time
 
 /** Class representing a set of Jobs
diff --git a/streaming/src/main/scala/org/apache/spark/streaming/scheduler/ReceivedBlockInfo.scala b/streaming/src/main/scala/org/apache/spark/streaming/scheduler/ReceivedBlockInfo.scala
new file mode 100644
index 0000000000..94beb590f5
--- /dev/null
+++ b/streaming/src/main/scala/org/apache/spark/streaming/scheduler/ReceivedBlockInfo.scala
@@ -0,0 +1,28 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.streaming.scheduler
+
+import org.apache.spark.streaming.receiver.ReceivedBlockStoreResult
+
+/** Information about blocks received by the receiver */
+private[streaming] case class ReceivedBlockInfo(
+    streamId: Int,
+    numRecords: Long,
+    blockStoreResult: ReceivedBlockStoreResult
+  )
+
diff --git a/streaming/src/main/scala/org/apache/spark/streaming/scheduler/ReceiverTracker.scala b/streaming/src/main/scala/org/apache/spark/streaming/scheduler/ReceiverTracker.scala
index 7149dbc12a..d696563bce 100644
--- a/streaming/src/main/scala/org/apache/spark/streaming/scheduler/ReceiverTracker.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/scheduler/ReceiverTracker.scala
@@ -21,21 +21,12 @@ import scala.collection.mutable.{HashMap, SynchronizedMap, SynchronizedQueue}
 import scala.language.existentials
 
 import akka.actor._
-import org.apache.spark.{Logging, SparkEnv, SparkException}
+import org.apache.spark.{SerializableWritable, Logging, SparkEnv, SparkException}
 import org.apache.spark.SparkContext._
-import org.apache.spark.storage.StreamBlockId
 import org.apache.spark.streaming.{StreamingContext, Time}
 import org.apache.spark.streaming.receiver.{Receiver, ReceiverSupervisorImpl, StopReceiver}
 import org.apache.spark.util.AkkaUtils
 
-/** Information about blocks received by the receiver */
-private[streaming] case class ReceivedBlockInfo(
-    streamId: Int,
-    blockId: StreamBlockId,
-    numRecords: Long,
-    metadata: Any
-  )
-
 /**
  * Messages used by the NetworkReceiver and the ReceiverTracker to communicate
  * with each other.
@@ -153,7 +144,7 @@ class ReceiverTracker(ssc: StreamingContext) extends Logging {
   def addBlocks(receivedBlockInfo: ReceivedBlockInfo) {
     getReceivedBlockInfoQueue(receivedBlockInfo.streamId) += receivedBlockInfo
     logDebug("Stream " + receivedBlockInfo.streamId + " received new blocks: " +
-      receivedBlockInfo.blockId)
+      receivedBlockInfo.blockStoreResult.blockId)
   }
 
   /** Report error sent by a receiver */
@@ -188,6 +179,7 @@ class ReceiverTracker(ssc: StreamingContext) extends Logging {
         sender ! true
       case AddBlock(receivedBlockInfo) =>
         addBlocks(receivedBlockInfo)
+        sender ! true
       case ReportError(streamId, message, error) =>
         reportError(streamId, message, error)
       case DeregisterReceiver(streamId, message, error) =>
@@ -252,6 +244,9 @@ class ReceiverTracker(ssc: StreamingContext) extends Logging {
           ssc.sc.makeRDD(receivers, receivers.size)
         }
 
+      val checkpointDirOption = Option(ssc.checkpointDir)
+      val serializableHadoopConf = new SerializableWritable(ssc.sparkContext.hadoopConfiguration)
+
       // Function to start the receiver on the worker node
       val startReceiver = (iterator: Iterator[Receiver[_]]) => {
         if (!iterator.hasNext) {
@@ -259,9 +254,10 @@ class ReceiverTracker(ssc: StreamingContext) extends Logging {
             "Could not start receiver as object not found.")
         }
         val receiver = iterator.next()
-        val executor = new ReceiverSupervisorImpl(receiver, SparkEnv.get)
-        executor.start()
-        executor.awaitTermination()
+        val supervisor = new ReceiverSupervisorImpl(
+          receiver, SparkEnv.get, serializableHadoopConf.value, checkpointDirOption)
+        supervisor.start()
+        supervisor.awaitTermination()
       }
       // Run the dummy Spark job to ensure that all slaves have registered.
       // This avoids all the receivers to be scheduled on the same node.
diff --git a/streaming/src/main/scala/org/apache/spark/streaming/util/WriteAheadLogRandomReader.scala b/streaming/src/main/scala/org/apache/spark/streaming/util/WriteAheadLogRandomReader.scala
index 92bad7a882..003989092a 100644
--- a/streaming/src/main/scala/org/apache/spark/streaming/util/WriteAheadLogRandomReader.scala
+++ b/streaming/src/main/scala/org/apache/spark/streaming/util/WriteAheadLogRandomReader.scala
@@ -52,4 +52,3 @@ private[streaming] class WriteAheadLogRandomReader(path: String, conf: Configura
     HdfsUtils.checkState(!closed, "Stream is closed. Create a new Reader to read from the file.")
   }
 }
-
diff --git a/streaming/src/test/scala/org/apache/spark/streaming/ReceivedBlockHandlerSuite.scala b/streaming/src/test/scala/org/apache/spark/streaming/ReceivedBlockHandlerSuite.scala
new file mode 100644
index 0000000000..ad1a6f01b3
--- /dev/null
+++ b/streaming/src/test/scala/org/apache/spark/streaming/ReceivedBlockHandlerSuite.scala
@@ -0,0 +1,258 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.streaming
+
+import java.io.File
+import java.nio.ByteBuffer
+
+import scala.collection.mutable.ArrayBuffer
+import scala.concurrent.duration._
+import scala.language.postfixOps
+
+import akka.actor.{ActorSystem, Props}
+import com.google.common.io.Files
+import org.apache.commons.io.FileUtils
+import org.apache.hadoop.conf.Configuration
+import org.scalatest.{BeforeAndAfter, FunSuite, Matchers}
+import org.scalatest.concurrent.Eventually._
+
+import org.apache.spark._
+import org.apache.spark.network.nio.NioBlockTransferService
+import org.apache.spark.scheduler.LiveListenerBus
+import org.apache.spark.serializer.KryoSerializer
+import org.apache.spark.shuffle.hash.HashShuffleManager
+import org.apache.spark.storage._
+import org.apache.spark.streaming.receiver._
+import org.apache.spark.streaming.util._
+import org.apache.spark.util.AkkaUtils
+import WriteAheadLogBasedBlockHandler._
+import WriteAheadLogSuite._
+
+class ReceivedBlockHandlerSuite extends FunSuite with BeforeAndAfter with Matchers with Logging {
+
+  val conf = new SparkConf().set("spark.streaming.receiver.writeAheadLog.rollingInterval", "1")
+  val hadoopConf = new Configuration()
+  val storageLevel = StorageLevel.MEMORY_ONLY_SER
+  val streamId = 1
+  val securityMgr = new SecurityManager(conf)
+  val mapOutputTracker = new MapOutputTrackerMaster(conf)
+  val shuffleManager = new HashShuffleManager(conf)
+  val serializer = new KryoSerializer(conf)
+  val manualClock = new ManualClock
+  val blockManagerSize = 10000000
+
+  var actorSystem: ActorSystem = null
+  var blockManagerMaster: BlockManagerMaster = null
+  var blockManager: BlockManager = null
+  var tempDirectory: File = null
+
+  before {
+    val (actorSystem, boundPort) = AkkaUtils.createActorSystem(
+      "test", "localhost", 0, conf = conf, securityManager = securityMgr)
+    this.actorSystem = actorSystem
+    conf.set("spark.driver.port", boundPort.toString)
+
+    blockManagerMaster = new BlockManagerMaster(
+      actorSystem.actorOf(Props(new BlockManagerMasterActor(true, conf, new LiveListenerBus))),
+      conf, true)
+
+    blockManager = new BlockManager("bm", actorSystem, blockManagerMaster, serializer,
+      blockManagerSize, conf, mapOutputTracker, shuffleManager,
+      new NioBlockTransferService(conf, securityMgr))
+
+    tempDirectory = Files.createTempDir()
+    manualClock.setTime(0)
+  }
+
+  after {
+    if (blockManager != null) {
+      blockManager.stop()
+      blockManager = null
+    }
+    if (blockManagerMaster != null) {
+      blockManagerMaster.stop()
+      blockManagerMaster = null
+    }
+    actorSystem.shutdown()
+    actorSystem.awaitTermination()
+    actorSystem = null
+
+    if (tempDirectory != null && tempDirectory.exists()) {
+      FileUtils.deleteDirectory(tempDirectory)
+      tempDirectory = null
+    }
+  }
+
+  test("BlockManagerBasedBlockHandler - store blocks") {
+    withBlockManagerBasedBlockHandler { handler =>
+      testBlockStoring(handler) { case (data, blockIds, storeResults) =>
+        // Verify the data in block manager is correct
+        val storedData = blockIds.flatMap { blockId =>
+          blockManager.getLocal(blockId).map { _.data.map {_.toString}.toList }.getOrElse(List.empty)
+        }.toList
+        storedData shouldEqual data
+
+        // Verify that the store results are instances of BlockManagerBasedStoreResult
+        assert(
+          storeResults.forall { _.isInstanceOf[BlockManagerBasedStoreResult] },
+          "Unexpected store result type"
+        )
+      }
+    }
+  }
+
+  test("BlockManagerBasedBlockHandler - handle errors in storing block") {
+    withBlockManagerBasedBlockHandler { handler =>
+      testErrorHandling(handler)
+    }
+  }
+
+  test("WriteAheadLogBasedBlockHandler - store blocks") {
+    withWriteAheadLogBasedBlockHandler { handler =>
+      testBlockStoring(handler) { case (data, blockIds, storeResults) =>
+        // Verify the data in block manager is correct
+        val storedData = blockIds.flatMap { blockId =>
+          blockManager.getLocal(blockId).map { _.data.map {_.toString}.toList }.getOrElse(List.empty)
+        }.toList
+        storedData shouldEqual data
+
+        // Verify that the store results are instances of WriteAheadLogBasedStoreResult
+        assert(
+          storeResults.forall { _.isInstanceOf[WriteAheadLogBasedStoreResult] },
+          "Unexpected store result type"
+        )
+        // Verify the data in write ahead log files is correct
+        val fileSegments = storeResults.map { _.asInstanceOf[WriteAheadLogBasedStoreResult].segment}
+        val loggedData = fileSegments.flatMap { segment =>
+          val reader = new WriteAheadLogRandomReader(segment.path, hadoopConf)
+          val bytes = reader.read(segment)
+          reader.close()
+          blockManager.dataDeserialize(generateBlockId(), bytes).toList
+        }
+        loggedData shouldEqual data
+      }
+    }
+  }
+
+  test("WriteAheadLogBasedBlockHandler - handle errors in storing block") {
+    withWriteAheadLogBasedBlockHandler { handler =>
+      testErrorHandling(handler)
+    }
+  }
+
+  test("WriteAheadLogBasedBlockHandler - cleanup old blocks") {
+    withWriteAheadLogBasedBlockHandler { handler =>
+      val blocks = Seq.tabulate(10) { i => IteratorBlock(Iterator(1 to i)) }
+      storeBlocks(handler, blocks)
+
+      val preCleanupLogFiles = getWriteAheadLogFiles()
+      preCleanupLogFiles.size should be > 1
+
+      // this depends on the number of blocks inserted using generateAndStoreData()
+      manualClock.currentTime() shouldEqual 5000L
+
+      val cleanupThreshTime = 3000L
+      handler.cleanupOldBlock(cleanupThreshTime)
+      eventually(timeout(10000 millis), interval(10 millis)) {
+        getWriteAheadLogFiles().size should be < preCleanupLogFiles.size
+      }
+    }
+  }
+
+  /**
+   * Test storing of data using different forms of ReceivedBlocks and verify that they succeeded
+   * using the given verification function
+   */
+  private def testBlockStoring(receivedBlockHandler: ReceivedBlockHandler)
+      (verifyFunc: (Seq[String], Seq[StreamBlockId], Seq[ReceivedBlockStoreResult]) => Unit) {
+    val data = Seq.tabulate(100) { _.toString }
+
+    def storeAndVerify(blocks: Seq[ReceivedBlock]) {
+      blocks should not be empty
+      val (blockIds, storeResults) = storeBlocks(receivedBlockHandler, blocks)
+      withClue(s"Testing with ${blocks.head.getClass.getSimpleName}s:") {
+        // Verify returns store results have correct block ids
+        (storeResults.map { _.blockId }) shouldEqual blockIds
+
+        // Call handler-specific verification function
+        verifyFunc(data, blockIds, storeResults)
+      }
+    }
+
+    def dataToByteBuffer(b: Seq[String]) = blockManager.dataSerialize(generateBlockId, b.iterator)
+
+    val blocks = data.grouped(10).toSeq
+
+    storeAndVerify(blocks.map { b => IteratorBlock(b.toIterator) })
+    storeAndVerify(blocks.map { b => ArrayBufferBlock(new ArrayBuffer ++= b) })
+    storeAndVerify(blocks.map { b => ByteBufferBlock(dataToByteBuffer(b)) })
+  }
+
+  /** Test error handling when blocks that cannot be stored */
+  private def testErrorHandling(receivedBlockHandler: ReceivedBlockHandler) {
+    // Handle error in iterator (e.g. divide-by-zero error)
+    intercept[Exception] {
+      val iterator = (10 to (-10, -1)).toIterator.map { _ / 0 }
+      receivedBlockHandler.storeBlock(StreamBlockId(1, 1), IteratorBlock(iterator))
+    }
+
+    // Handler error in block manager storing (e.g. too big block)
+    intercept[SparkException] {
+      val byteBuffer = ByteBuffer.wrap(new Array[Byte](blockManagerSize + 1))
+      receivedBlockHandler.storeBlock(StreamBlockId(1, 1), ByteBufferBlock(byteBuffer))
+    }
+  }
+
+  /** Instantiate a BlockManagerBasedBlockHandler and run a code with it */
+  private def withBlockManagerBasedBlockHandler(body: BlockManagerBasedBlockHandler => Unit) {
+    body(new BlockManagerBasedBlockHandler(blockManager, storageLevel))
+  }
+
+  /** Instantiate a WriteAheadLogBasedBlockHandler and run a code with it */
+  private def withWriteAheadLogBasedBlockHandler(body: WriteAheadLogBasedBlockHandler => Unit) {
+    val receivedBlockHandler = new WriteAheadLogBasedBlockHandler(blockManager, 1,
+      storageLevel, conf, hadoopConf, tempDirectory.toString, manualClock)
+    try {
+      body(receivedBlockHandler)
+    } finally {
+      receivedBlockHandler.stop()
+    }
+  }
+
+  /** Store blocks using a handler */
+  private def storeBlocks(
+      receivedBlockHandler: ReceivedBlockHandler,
+      blocks: Seq[ReceivedBlock]
+    ): (Seq[StreamBlockId], Seq[ReceivedBlockStoreResult]) = {
+    val blockIds = Seq.fill(blocks.size)(generateBlockId())
+    val storeResults = blocks.zip(blockIds).map {
+      case (block, id) =>
+        manualClock.addToTime(500) // log rolling interval set to 1000 ms through SparkConf
+        logDebug("Inserting block " + id)
+        receivedBlockHandler.storeBlock(id, block)
+    }.toList
+    logDebug("Done inserting")
+    (blockIds, storeResults)
+  }
+
+  private def getWriteAheadLogFiles(): Seq[String] = {
+    getLogFilesInDirectory(checkpointDirToLogDir(tempDirectory.toString, streamId))
+  }
+
+  private def generateBlockId(): StreamBlockId = StreamBlockId(streamId, scala.util.Random.nextLong)
+}
diff --git a/streaming/src/test/scala/org/apache/spark/streaming/util/WriteAheadLogSuite.scala b/streaming/src/test/scala/org/apache/spark/streaming/util/WriteAheadLogSuite.scala
index 5eba93c208..1956a4f1db 100644
--- a/streaming/src/test/scala/org/apache/spark/streaming/util/WriteAheadLogSuite.scala
+++ b/streaming/src/test/scala/org/apache/spark/streaming/util/WriteAheadLogSuite.scala
@@ -58,7 +58,7 @@ class WriteAheadLogSuite extends FunSuite with BeforeAndAfter {
   test("WriteAheadLogWriter - writing data") {
     val dataToWrite = generateRandomData()
     val segments = writeDataUsingWriter(testFile, dataToWrite)
-    val writtenData = readDataManually(testFile, segments)
+    val writtenData = readDataManually(segments)
     assert(writtenData === dataToWrite)
   }
 
@@ -67,7 +67,7 @@ class WriteAheadLogSuite extends FunSuite with BeforeAndAfter {
     val writer = new WriteAheadLogWriter(testFile, hadoopConf)
     dataToWrite.foreach { data =>
       val segment = writer.write(stringToByteBuffer(data))
-      val dataRead = readDataManually(testFile, Seq(segment)).head
+      val dataRead = readDataManually(Seq(segment)).head
       assert(data === dataRead)
     }
     writer.close()
@@ -281,14 +281,20 @@ object WriteAheadLogSuite {
   }
 
   /** Read data from a segments of a log file directly and return the list of byte buffers.*/
-  def readDataManually(file: String, segments: Seq[WriteAheadLogFileSegment]): Seq[String] = {
-    val reader = HdfsUtils.getInputStream(file, hadoopConf)
-    segments.map { x =>
-      reader.seek(x.offset)
-      val data = new Array[Byte](x.length)
-      reader.readInt()
-      reader.readFully(data)
-      Utils.deserialize[String](data)
+  def readDataManually(segments: Seq[WriteAheadLogFileSegment]): Seq[String] = {
+    segments.map { segment =>
+      val reader = HdfsUtils.getInputStream(segment.path, hadoopConf)
+      try {
+        reader.seek(segment.offset)
+        val bytes = new Array[Byte](segment.length)
+        reader.readInt()
+        reader.readFully(bytes)
+        val data = Utils.deserialize[String](bytes)
+        reader.close()
+        data
+      } finally {
+        reader.close()
+      }
     }
   }
 
@@ -335,9 +341,11 @@ object WriteAheadLogSuite {
     val fileSystem = HdfsUtils.getFileSystemForPath(logDirectoryPath, hadoopConf)
 
     if (fileSystem.exists(logDirectoryPath) && fileSystem.getFileStatus(logDirectoryPath).isDir) {
-      fileSystem.listStatus(logDirectoryPath).map {
-        _.getPath.toString.stripPrefix("file:")
-      }.sorted
+      fileSystem.listStatus(logDirectoryPath).map { _.getPath() }.sortBy {
+        _.getName().split("-")(1).toLong
+      }.map {
+        _.toString.stripPrefix("file:")
+      }
     } else {
       Seq.empty
     }