diff --git a/core/src/main/scala/org/apache/spark/SparkContext.scala b/core/src/main/scala/org/apache/spark/SparkContext.scala
index 3403d0d380db6..17e9ef902621a 100644
--- a/core/src/main/scala/org/apache/spark/SparkContext.scala
+++ b/core/src/main/scala/org/apache/spark/SparkContext.scala
@@ -47,7 +47,7 @@ import org.apache.spark.scheduler._
 import org.apache.spark.scheduler.cluster.{CoarseGrainedSchedulerBackend, SparkDeploySchedulerBackend, SimrSchedulerBackend}
 import org.apache.spark.scheduler.cluster.mesos.{CoarseMesosSchedulerBackend, MesosSchedulerBackend}
 import org.apache.spark.scheduler.local.LocalBackend
-import org.apache.spark.storage.{BlockManagerSource, RDDInfo, StorageStatus, StorageUtils}
+import org.apache.spark.storage._
 import org.apache.spark.ui.SparkUI
 import org.apache.spark.util.{CallSite, ClosureCleaner, MetadataCleaner, MetadataCleanerType, TimeStampedWeakValueHashMap, Utils}
 
@@ -840,9 +840,9 @@ class SparkContext(config: SparkConf) extends Logging {
    */
   @DeveloperApi
   def getRDDStorageInfo: Array[RDDInfo] = {
-    val rddInfos = StorageUtils.makeRddInfo(this)
+    val rddInfos = persistentRdds.values.map(RDDInfo.fromRdd).toArray
     StorageUtils.updateRddInfo(rddInfos, getExecutorStorageStatus)
-    rddInfos.toArray
+    rddInfos.filter(_.isCached)
   }
 
   /**
diff --git a/core/src/main/scala/org/apache/spark/storage/BlockManagerMasterActor.scala b/core/src/main/scala/org/apache/spark/storage/BlockManagerMasterActor.scala
index f76ab323d3ef8..9b13f32fff78a 100644
--- a/core/src/main/scala/org/apache/spark/storage/BlockManagerMasterActor.scala
+++ b/core/src/main/scala/org/apache/spark/storage/BlockManagerMasterActor.scala
@@ -420,7 +420,9 @@ case class BlockStatus(
     storageLevel: StorageLevel,
     memSize: Long,
     diskSize: Long,
-    tachyonSize: Long)
+    tachyonSize: Long) {
+  def isCached: Boolean = memSize + diskSize + tachyonSize > 0
+}
 
 private[spark] class BlockManagerInfo(
     val blockManagerId: BlockManagerId,
diff --git a/core/src/main/scala/org/apache/spark/storage/RDDInfo.scala b/core/src/main/scala/org/apache/spark/storage/RDDInfo.scala
index 5a72e216872a6..120c327a7e580 100644
--- a/core/src/main/scala/org/apache/spark/storage/RDDInfo.scala
+++ b/core/src/main/scala/org/apache/spark/storage/RDDInfo.scala
@@ -34,6 +34,8 @@ class RDDInfo(
   var diskSize = 0L
   var tachyonSize = 0L
 
+  def isCached: Boolean = (memSize + diskSize + tachyonSize > 0) && numCachedPartitions > 0
+
   override def toString = {
     import Utils.bytesToString
     ("RDD \"%s\" (%d) StorageLevel: %s; CachedPartitions: %d; TotalPartitions: %d; " +
diff --git a/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala b/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala
index 3b3fff0c06468..446a3887630d8 100644
--- a/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala
+++ b/core/src/main/scala/org/apache/spark/storage/StorageUtils.scala
@@ -110,17 +110,6 @@ class StorageStatus(val blockManagerId: BlockManagerId, val maxMem: Long) {
 /** Helper methods for storage-related objects. */
 private[spark] object StorageUtils {
 
-  /** Return a list of RDDInfo based on the RDDs cached in the given SparkContext. */
-  def makeRddInfo(sc: SparkContext): Seq[RDDInfo] = {
-    sc.persistentRdds.values.toSeq.map { rdd =>
-      val name = Option(rdd.name).getOrElse(rdd.id.toString)
-      val numPartitions = rdd.partitions.size
-      val storageLevel = rdd.getStorageLevel
-      val rddInfo = new RDDInfo(rdd.id, name, numPartitions, storageLevel)
-      rddInfo
-    }
-  }
-
   /**
    * Update the given list of RDDInfo with the given list of storage statuses.
    * This method overwrites the old values stored in the RDDInfo's.
@@ -142,7 +131,7 @@ private[spark] object StorageUtils {
         .flatMap(_.rddBlocks(rddId))
         .filter { case (bid, _) => !newBlockIds.contains(bid) } // avoid duplicates
       val blocks = (oldBlocks ++ newBlocks).map { case (_, bstatus) => bstatus }
-      val persistedBlocks = blocks.filter { s => s.memSize + s.diskSize + s.tachyonSize > 0 }
+      val persistedBlocks = blocks.filter(_.isCached)
 
       // Assume all blocks belonging to the same RDD have the same storage level
       val storageLevel = blocks.headOption.map(_.storageLevel).getOrElse(StorageLevel.NONE)
diff --git a/core/src/test/scala/org/apache/spark/SparkContextInfoSuite.scala b/core/src/test/scala/org/apache/spark/SparkContextInfoSuite.scala
index fb18c3ebfe46f..e6ab538d77bcc 100644
--- a/core/src/test/scala/org/apache/spark/SparkContextInfoSuite.scala
+++ b/core/src/test/scala/org/apache/spark/SparkContextInfoSuite.scala
@@ -18,6 +18,7 @@
 package org.apache.spark
 
 import org.scalatest.{Assertions, FunSuite}
+import org.apache.spark.storage.StorageLevel
 
 class SparkContextInfoSuite extends FunSuite with LocalSparkContext {
   test("getPersistentRDDs only returns RDDs that are marked as cached") {
@@ -35,26 +36,33 @@ class SparkContextInfoSuite extends FunSuite with LocalSparkContext {
   test("getPersistentRDDs returns an immutable map") {
     sc = new SparkContext("local", "test")
     val rdd1 = sc.makeRDD(Array(1, 2, 3, 4), 2).cache()
-
     val myRdds = sc.getPersistentRDDs
     assert(myRdds.size === 1)
-    assert(myRdds.values.head === rdd1)
+    assert(myRdds(0) === rdd1)
+    assert(myRdds(0).getStorageLevel === StorageLevel.MEMORY_ONLY)
 
+    // myRdds2 should have 2 RDDs, but myRdds should not change
     val rdd2 = sc.makeRDD(Array(5, 6, 7, 8), 1).cache()
-
-    // getPersistentRDDs should have 2 RDDs, but myRdds should not change
-    assert(sc.getPersistentRDDs.size === 2)
+    val myRdds2 = sc.getPersistentRDDs
+    assert(myRdds2.size === 2)
+    assert(myRdds2(0) === rdd1)
+    assert(myRdds2(1) === rdd2)
+    assert(myRdds2(0).getStorageLevel === StorageLevel.MEMORY_ONLY)
+    assert(myRdds2(1).getStorageLevel === StorageLevel.MEMORY_ONLY)
     assert(myRdds.size === 1)
+    assert(myRdds(0) === rdd1)
+    assert(myRdds(0).getStorageLevel === StorageLevel.MEMORY_ONLY)
   }
 
   test("getRDDStorageInfo only reports on RDDs that actually persist data") {
     sc = new SparkContext("local", "test")
     val rdd = sc.makeRDD(Array(1, 2, 3, 4), 2).cache()
-
     assert(sc.getRDDStorageInfo.size === 0)
-
     rdd.collect()
     assert(sc.getRDDStorageInfo.size === 1)
+    assert(sc.getRDDStorageInfo.head.isCached)
+    assert(sc.getRDDStorageInfo.head.memSize > 0)
+    assert(sc.getRDDStorageInfo.head.storageLevel === StorageLevel.MEMORY_ONLY)
   }
 
   test("call sites report correct locations") {