Merge pull request #422 from squito/blockmanager_info

RDDInfo available from SparkContext

core/src/main/scala/spark/SparkContext.scala

@@ -46,6 +46,7 @@ import spark.scheduler.cluster.{SparkDeploySchedulerBackend, SchedulerBackend, C
 import spark.scheduler.mesos.{CoarseMesosSchedulerBackend, MesosSchedulerBackend}
 import storage.BlockManagerUI
 import util.{MetadataCleaner, TimeStampedHashMap}
+import storage.{StorageStatus, StorageUtils, RDDInfo}
 
 /**
  * Main entry point for Spark functionality. A SparkContext represents the connection to a Spark
@@ -468,12 +469,27 @@ class SparkContext(
    * Return a map from the slave to the max memory available for caching and the remaining
    * memory available for caching.
    */
-  def getSlavesMemoryStatus: Map[String, (Long, Long)] = {
+  def getExecutorMemoryStatus: Map[String, (Long, Long)] = {
     env.blockManager.master.getMemoryStatus.map { case(blockManagerId, mem) =>
       (blockManagerId.ip + ":" + blockManagerId.port, mem)
     }
   }
 
+  /**
+   * Return information about what RDDs are cached, if they are in mem or on disk, how much space
+   * they take, etc.
+   */
+  def getRDDStorageInfo : Array[RDDInfo] = {
+    StorageUtils.rddInfoFromStorageStatus(getExecutorStorageStatus, this)
+  }
+
+  /**
+   * Return information about blocks stored in all of the slaves
+   */
+  def getExecutorStorageStatus : Array[StorageStatus] = {
+    env.blockManager.master.getStorageStatus
+  }
+
   /**
    * Clear the job's list of files added by `addFile` so that they do not get downloaded to
    * any new nodes.

core/src/main/scala/spark/storage/BlockManagerMaster.scala

@@ -115,6 +115,10 @@ private[spark] class BlockManagerMaster(
     askDriverWithReply[Map[BlockManagerId, (Long, Long)]](GetMemoryStatus)
   }
 
+  def getStorageStatus: Array[StorageStatus] = {
+    askDriverWithReply[ArrayBuffer[StorageStatus]](GetStorageStatus).toArray
+  }
+
   /** Stop the driver actor, called only on the Spark driver node */
   def stop() {
     if (driverActor != null) {

core/src/main/scala/spark/storage/BlockManagerUI.scala

 package spark.storage
 
 import akka.actor.{ActorRef, ActorSystem}
-import akka.pattern.ask
 import akka.util.Timeout
 import akka.util.duration._
-import cc.spray.directives._
 import cc.spray.typeconversion.TwirlSupport._
 import cc.spray.Directives
-import scala.collection.mutable.ArrayBuffer
 import spark.{Logging, SparkContext}
 import spark.util.AkkaUtils
 import spark.Utils
@@ -48,32 +45,26 @@ class BlockManagerUI(val actorSystem: ActorSystem, blockManagerMaster: ActorRef,
       path("") {
         completeWith {
           // Request the current storage status from the Master
-          val future = blockManagerMaster ? GetStorageStatus
-          future.map { status =>
-            // Calculate macro-level statistics
-            val storageStatusList = status.asInstanceOf[ArrayBuffer[StorageStatus]].toArray
-            val maxMem = storageStatusList.map(_.maxMem).reduce(_+_)
-            val remainingMem = storageStatusList.map(_.memRemaining).reduce(_+_)
-            val diskSpaceUsed = storageStatusList.flatMap(_.blocks.values.map(_.diskSize))
-              .reduceOption(_+_).getOrElse(0L)
-            val rdds = StorageUtils.rddInfoFromStorageStatus(storageStatusList, sc)
-            spark.storage.html.index.
-              render(maxMem, remainingMem, diskSpaceUsed, rdds, storageStatusList)
-          }
+          val storageStatusList = sc.getExecutorStorageStatus
+          // Calculate macro-level statistics
+          val maxMem = storageStatusList.map(_.maxMem).reduce(_+_)
+          val remainingMem = storageStatusList.map(_.memRemaining).reduce(_+_)
+          val diskSpaceUsed = storageStatusList.flatMap(_.blocks.values.map(_.diskSize))
+            .reduceOption(_+_).getOrElse(0L)
+          val rdds = StorageUtils.rddInfoFromStorageStatus(storageStatusList, sc)
+          spark.storage.html.index.
+            render(maxMem, remainingMem, diskSpaceUsed, rdds, storageStatusList)
         }
       } ~
       path("rdd") {
         parameter("id") { id =>
           completeWith {
-            val future = blockManagerMaster ? GetStorageStatus
-            future.map { status =>
-              val prefix = "rdd_" + id.toString
-              val storageStatusList = status.asInstanceOf[ArrayBuffer[StorageStatus]].toArray
-              val filteredStorageStatusList = StorageUtils.
-                filterStorageStatusByPrefix(storageStatusList, prefix)
-              val rddInfo = StorageUtils.rddInfoFromStorageStatus(filteredStorageStatusList, sc).head
-              spark.storage.html.rdd.render(rddInfo, filteredStorageStatusList)
-            }
+            val prefix = "rdd_" + id.toString
+            val storageStatusList = sc.getExecutorStorageStatus
+            val filteredStorageStatusList = StorageUtils.
+              filterStorageStatusByPrefix(storageStatusList, prefix)
+            val rddInfo = StorageUtils.rddInfoFromStorageStatus(filteredStorageStatusList, sc).head
+            spark.storage.html.rdd.render(rddInfo, filteredStorageStatusList)
           }
         }
       } ~

core/src/main/scala/spark/storage/StorageUtils.scala

 package spark.storage
 
-import spark.SparkContext
+import spark.{Utils, SparkContext}
 import BlockManagerMasterActor.BlockStatus
 
 private[spark]
@@ -22,8 +22,13 @@ case class StorageStatus(blockManagerId: BlockManagerId, maxMem: Long,
 }
 
 case class RDDInfo(id: Int, name: String, storageLevel: StorageLevel,
-  numPartitions: Int, memSize: Long, diskSize: Long)
-
+  numCachedPartitions: Int, numPartitions: Int, memSize: Long, diskSize: Long) {
+  override def toString = {
+    import Utils.memoryBytesToString
+    "RDD \"%s\" (%d) Storage: %s; CachedPartitions: %d; TotalPartitions: %d; MemorySize: %s; DiskSize: %s".format(name, id,
+      storageLevel.toString, numCachedPartitions, numPartitions, memoryBytesToString(memSize), memoryBytesToString(diskSize))
+  }
+}
 
 /* Helper methods for storage-related objects */
 private[spark]
@@ -38,8 +43,6 @@ object StorageUtils {
   /* Given a list of BlockStatus objets, returns information for each RDD */ 
   def rddInfoFromBlockStatusList(infos: Map[String, BlockStatus], 
     sc: SparkContext) : Array[RDDInfo] = {
-    // Find all RDD Blocks (ignore broadcast variables)
-    val rddBlocks = infos.filterKeys(_.startsWith("rdd"))
 
     // Group by rddId, ignore the partition name
     val groupedRddBlocks = infos.groupBy { case(k, v) =>
@@ -56,10 +59,11 @@ object StorageUtils {
       // Find the id of the RDD, e.g. rdd_1 => 1
       val rddId = rddKey.split("_").last.toInt
       // Get the friendly name for the rdd, if available.
-      val rddName = Option(sc.persistentRdds(rddId).name).getOrElse(rddKey)
-      val rddStorageLevel = sc.persistentRdds(rddId).getStorageLevel
-      
-      RDDInfo(rddId, rddName, rddStorageLevel, rddBlocks.length, memSize, diskSize)
+      val rdd = sc.persistentRdds(rddId)
+      val rddName = Option(rdd.name).getOrElse(rddKey)
+      val rddStorageLevel = rdd.getStorageLevel
+
+      RDDInfo(rddId, rddName, rddStorageLevel, rddBlocks.length, rdd.splits.size, memSize, diskSize)
     }.toArray
   }
 
@@ -75,4 +79,4 @@ object StorageUtils {
 
   }
 
-}
\ No newline at end of file
+}

core/src/main/twirl/spark/storage/rdd.scala.html

@@ -11,7 +11,11 @@
           <strong>Storage Level:</strong> 
           @(rddInfo.storageLevel.description)
         <li>
-          <strong>Partitions:</strong>
+          <strong>Cached Partitions:</strong>
+          @(rddInfo.numCachedPartitions)
+        </li>
+        <li>
+          <strong>Total Partitions:</strong>
           @(rddInfo.numPartitions)
         </li>
         <li>

core/src/main/twirl/spark/storage/rdd_table.scala.html

@@ -6,7 +6,8 @@
     <tr>
       <th>RDD Name</th>
       <th>Storage Level</th>
-      <th>Partitions</th>
+      <th>Cached Partitions</th>
+      <th>Fraction Partitions Cached</th>
       <th>Size in Memory</th>
       <th>Size on Disk</th>
     </tr>
@@ -21,7 +22,8 @@
         </td>
         <td>@(rdd.storageLevel.description)
         </td>
-        <td>@rdd.numPartitions</td>
+        <td>@rdd.numCachedPartitions</td>
+        <td>@(rdd.numCachedPartitions / rdd.numPartitions.toDouble)</td>
         <td>@{Utils.memoryBytesToString(rdd.memSize)}</td>
         <td>@{Utils.memoryBytesToString(rdd.diskSize)}</td>
       </tr>