This example can work.

test2.scala

scala> class Foo { def foo() = Array(1.0) }
defined class Foo

scala> var m: Array[Double] = null
m: Array[Double] = null

scala> {
     |     val t = new Foo
     |     m = t.foo
     | }

scala> val r1 = sc.parallelize(List(1, 2, 3))
r1: org.apache.spark.rdd.RDD[Int] = ParallelCollectionRDD[0] at parallelize at <console>:12

scala> val r2 = r1.map(_ + m(0))
r2: org.apache.spark.rdd.RDD[Double] = MappedRDD[1] at map at <console>:16

scala> r2.toArray
14/08/14 22:45:31 INFO SparkContext: Starting job: toArray at <console>:19
14/08/14 22:45:31 INFO DAGScheduler: Got job 0 (toArray at <console>:19) with 1 output partitions (allowLocal=false)
14/08/14 22:45:31 INFO DAGScheduler: Final stage: Stage 0 (toArray at <console>:19)
14/08/14 22:45:31 INFO DAGScheduler: Parents of final stage: List()
14/08/14 22:45:31 INFO DAGScheduler: Missing parents: List()
14/08/14 22:45:31 INFO DAGScheduler: Submitting Stage 0 (MappedRDD[1] at map at <console>:16), which has no missing parents
14/08/14 22:45:31 INFO DAGScheduler: Submitting 1 missing tasks from Stage 0 (MappedRDD[1] at map at <console>:16)
14/08/14 22:45:31 INFO TaskSchedulerImpl: Adding task set 0.0 with 1 tasks
14/08/14 22:45:31 INFO TaskSetManager: Starting task 0.0:0 as TID 0 on executor localhost: localhost (PROCESS_LOCAL)
14/08/14 22:45:31 INFO TaskSetManager: Serialized task 0.0:0 as 1867 bytes in 4 ms
14/08/14 22:45:31 INFO Executor: Running task ID 0
14/08/14 22:45:31 INFO Executor: Serialized size of result for 0 is 532
14/08/14 22:45:31 INFO Executor: Sending result for 0 directly to driver
14/08/14 22:45:31 INFO Executor: Finished task ID 0
14/08/14 22:45:31 INFO TaskSetManager: Finished TID 0 in 157 ms on localhost (progress: 0/1)
14/08/14 22:45:31 INFO TaskSchedulerImpl: Remove TaskSet 0.0 from pool 
14/08/14 22:45:31 INFO DAGScheduler: Completed ResultTask(0, 0)
14/08/14 22:45:31 INFO DAGScheduler: Stage 0 (toArray at <console>:19) finished in 0.164 s
14/08/14 22:45:31 INFO SparkContext: Job finished: toArray at <console>:19, took 0.25781 s
res1: Array[Double] = Array(2.0, 3.0, 4.0)