how to convert com.mongodb.BasicDBList to something useful in Scala?

So far, I am able to retrieve data from MongoDB using mongo-hadoop-core 1.4.2. The data I want to manipulate are values inside arrays inside an embed document inside each document in the collection I am querying, and I need these values as Double's. The data retrieved from collections has type RDD[(Object, org.bson.BSONObject)], which means each document is a tuple of types (Object, org.bson.BSONObject).

Whenever I want get an embed document, I do (working on spark-shell 1.5.1):

import com.mongodb.{BasicDBObject, BasicDBList} // classes I am using here.    

// 'documents' already taken from collection.
scala> documents
res4: org.apache.spark.rdd.RDD[(Object, org.bson.BSONObject)] = NewHadoopRDD[0] at newAPIHadoopRDD at <console>:32

// getting one document.
scala> val doc = documents.take(1)(0) 
doc: (Object, org.bson.BSONObject) = ( ... _id fields ... , ... lots of fields ...)

// getting an embed document from tuple's second element.
scala> val samples = doc._2.get("samp") match {case x: BasicDBObject => x}
samples: com.mongodb.BasicDBObject = (... some fields ...)

// getting an embed document.
scala> val latency = samples.get("latency") match {case x: BasicDBObject => x}
latency: com.mongodb.BasicDBObject = { "raw" : [ 9.71 , 8.77 , 10.16 , 9.49 , 8.54 , 10.29 , 9.55 , 9.16 , 10.78 , 10.31 , 9.54 , 10.69 , 10.33 , 9.58 , 9.07 , 9.72 , 9.48 , 8.72 , 10.59 , 9.81 , 9.31 , 10.64 , 9.87 , 9.29 , 10.38 , 9.64 , 8.86 , 10.84 , 10.06 , 9.29 , 8.45 , 9.08 , 7.55 , 9.75 , 9.05 , 10.38 , 9.64 , 8.25 , 10.27 , 9.54 , 8.52 , 10.26 , 9.53 , 7.87 , 9.76 , 9.02 , 10.27 , 7.93 , 9.73 , 9 , 10.07 , 9.35 , 7.66 , 13.68 , 11.92 , 14.72 , 14 , 12.55 , 11.77 , 11.02 , 11.59 , 10.87 , 10.4 , 9.13 , 10.28 , 9.55 , 10.43 , 8.33 , 9.66 , 8.93 , 8.05 , 11.26 , 10.53 , 9.81 , 10.2 , 9.42 , 7.73 , 9.76 , 9.04 , 8.29 , 9.34 , 7.21 , 10.05 , 9.32 , 10.28 , 8.59 , 10.15 , 9.53 , 7.88 , 9.9 , 9.15 , 13.96 , 13.19 , 11 , 13.6 , 13.01 , 12.17 , 11.39 , 10.64 , 9.9] , "xtrf" : { "...

// getting a bson array.
scala> val array = latency.get("raw") match {case x: BasicDBList => x}
array: com.mongodb.BasicDBList =  [ 9.71 , 8.77 , 10.16 , 9.49 , 8.54 , 10.29 , 9.55 , 9.16 , 10.78 , 10.31 , 9.54 , 10.69 , 10.33 , 9.58 , 9.07 , 9.72 , 9.48 , 8.72 , 10.59 , 9.81 , 9.31 , 10.64 , 9.87 , 9.29 , 10.38 , 9.64 , 8.86 , 10.84 , 10.06 , 9.29 , 8.45 , 9.08 , 7.55 , 9.75 , 9.05 , 10.38 , 9.64 , 8.25 , 10.27 , 9.54 , 8.52 , 10.26 , 9.53 , 7.87 , 9.76 , 9.02 , 10.27 , 7.93 , 9.73 , 9 , 10.07 , 9.35 , 7.66 , 13.68 , 11.92 , 14.72 , 14 , 12.55 , 11.77 , 11.02 , 11.59 , 10.87 , 10.4 , 9.13 , 10.28 , 9.55 , 10.43 , 8.33 , 9.66 , 8.93 , 8.05 , 11.26 , 10.53 , 9.81 , 10.2 , 9.42 , 7.73 , 9.76 , 9.04 , 8.29 , 9.34 , 7.21 , 10.05 , 9.32 , 10.28 , 8.59 , 10.15 , 9.53 , 7.88 , 9.9 , 9.15 , 13.96 , 13.19 , 11 , 13.6 , 13.01 , 12.17 , 11.39 , 10.64 , 9.9]

Converting type Object to BasicDBObject is quite inconvenient but I need to do it in order to use get(key: String). I could also use .asInstanceOf[BasicDBObject] instead of match {case x: BasicDBObject => x} but is there any better way??. Getting specific types, like Double, Int, String and Date, is straight forward using inhereted methods from BasicBsonObject class.

As for BasicDBList, there's a get(key: String) method, inherited from BasicBsonList, that returns an Object that can be cast to Double but only using a .asInstanceOf[Double] call and there's a toArray() inherited from java.util.ArrayList that returns an array of Object's that I can't cast to Double, even with .map(_.asInstanceOf[Double]) as I'm doing here:

scala> val arrayOfDoubles = array.toArray.map(_.asInstanceOf[Double])
java.lang.ClassCastException: java.lang.Integer cannot be cast to java.lang.Double
at scala.runtime.BoxesRunTime.unboxToDouble(BoxesRunTime.java:119)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply(<console>:37)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply(<console>:37)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:37)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:42)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:44)
at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:46)
at $iwC$$iwC$$iwC$$iwC.<init>(<console>:48)
at $iwC$$iwC$$iwC.<init>(<console>:50)
at $iwC$$iwC.<init>(<console>:52)
at $iwC.<init>(<console>:54)
at <init>(<console>:56)
at .<init>(<console>:60)
at .<clinit>(<console>)
at .<init>(<console>:7)
at .<clinit>(<console>)
at $print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1340)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657)
at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665)
at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$loop(SparkILoop.scala:670)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:997)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)

but sometimes it works. In some documents this cast works, in other documents it doesn't and prints that error message above. Could this be a problem in the data structure given by MongoDB, to spark, but just in these documents? Smaller arrays, with 30 values, seems to always work.

my solution so far is this inefficient conversion:

scala> val arrayOfDoubles = array.toArray.map(_.toString.toDouble)
arrayOfDoubles: Array[Double] = Array(9.71, 8.77, 10.16, 9.49, 8.54, 10.29, 9.55, 9.16, 10.78, 10.31, 9.54, 10.69, 10.33, 9.58, 9.07, 9.72, 9.48, 8.72, 10.59, 9.81, 9.31, 10.64, 9.87, 9.29, 10.38, 9.64, 8.86, 10.84, 10.06, 9.29, 8.45, 9.08, 7.55, 9.75, 9.05, 10.38, 9.64, 8.25, 10.27, 9.54, 8.52, 10.26, 9.53, 7.87, 9.76, 9.02, 10.27, 7.93, 9.73, 9.0, 10.07, 9.35, 7.66, 13.68, 11.92, 14.72, 14.0, 12.55, 11.77, 11.02, 11.59, 10.87, 10.4, 9.13, 10.28, 9.55, 10.43, 8.33, 9.66, 8.93, 8.05, 11.26, 10.53, 9.81, 10.2, 9.42, 7.73, 9.76, 9.04, 8.29, 9.34, 7.21, 10.05, 9.32, 10.28, 8.59, 10.15, 9.53, 7.88, 9.9, 9.15, 13.96, 13.19, 11.0, 13.6, 13.01, 12.17, 11.39, 10.64, 9.9)

Am I missing something here or things are really inconvenient? Why do all these methods have to return Object or BSONObject? is there any way to overcome this problem I found? Where have this java.lang.Integer come from if there aren't integers in the array being cast to double?