diff --git a/core/src/main/scala/spark/storage/MemoryStore.scala b/core/src/main/scala/spark/storage/MemoryStore.scala
index ae88ff0bb1694c89a580bdd89bf127991ecb7f1e..949588476c20150b1dd5c73f4303dbf85d2ad518 100644
--- a/core/src/main/scala/spark/storage/MemoryStore.scala
+++ b/core/src/main/scala/spark/storage/MemoryStore.scala
@@ -32,8 +32,8 @@ private class MemoryStore(blockManager: BlockManager, maxMemory: Long)
   }
 
   override def putBytes(blockId: String, bytes: ByteBuffer, level: StorageLevel) {
+    bytes.rewind()
     if (level.deserialized) {
-      bytes.rewind()
       val values = blockManager.dataDeserialize(blockId, bytes)
       val elements = new ArrayBuffer[Any]
       elements ++= values
@@ -58,7 +58,7 @@ private class MemoryStore(blockManager: BlockManager, maxMemory: Long)
     } else {
       val bytes = blockManager.dataSerialize(blockId, values.iterator)
       tryToPut(blockId, bytes, bytes.limit, false)
-      PutResult(bytes.limit(), Right(bytes))
+      PutResult(bytes.limit(), Right(bytes.duplicate()))
     }
   }
 
diff --git a/core/src/test/scala/spark/DistributedSuite.scala b/core/src/test/scala/spark/DistributedSuite.scala
index caa4ba3a3705af5587099951c1914a03663b5ea8..4104b33c8b6815ddebbe50ea595e633fb0cba46e 100644
--- a/core/src/test/scala/spark/DistributedSuite.scala
+++ b/core/src/test/scala/spark/DistributedSuite.scala
@@ -1,5 +1,6 @@
 package spark
 
+import network.ConnectionManagerId
 import org.scalatest.FunSuite
 import org.scalatest.BeforeAndAfter
 import org.scalatest.matchers.ShouldMatchers
@@ -13,7 +14,7 @@ import com.google.common.io.Files
 import scala.collection.mutable.ArrayBuffer
 
 import SparkContext._
-import storage.StorageLevel
+import storage.{GetBlock, BlockManagerWorker, StorageLevel}
 
 class DistributedSuite extends FunSuite with ShouldMatchers with BeforeAndAfter with LocalSparkContext {
 
@@ -140,9 +141,22 @@ class DistributedSuite extends FunSuite with ShouldMatchers with BeforeAndAfter
   test("caching in memory and disk, serialized, replicated") {
     sc = new SparkContext(clusterUrl, "test")
     val data = sc.parallelize(1 to 1000, 10).persist(StorageLevel.MEMORY_AND_DISK_SER_2)
+
     assert(data.count() === 1000)
     assert(data.count() === 1000)
     assert(data.count() === 1000)
+
+    // Get all the locations of the first partition and try to fetch the partitions
+    // from those locations.
+    val blockIds = data.partitions.indices.map(index => "rdd_%d_%d".format(data.id, index)).toArray
+    val blockId = blockIds(0)
+    val blockManager = SparkEnv.get.blockManager
+    blockManager.master.getLocations(blockId).foreach(id => {
+      val bytes = BlockManagerWorker.syncGetBlock(
+        GetBlock(blockId), ConnectionManagerId(id.ip, id.port))
+      val deserialized = blockManager.dataDeserialize(blockId, bytes).asInstanceOf[Iterator[Int]].toList
+      assert(deserialized === (1 to 100).toList)
+    })
   }
 
   test("compute without caching when no partitions fit in memory") {