Yes. The exception is gone now after adding stop() at the end.
Can you please tell me what this stop() does at the end. Does it disable
the spark context.
On Wed, Dec 31, 2014 at 10:09 AM, RK <prk...@yahoo.com> wrote:
> If you look at your program output closely, you can see the following
> output.
> Lines with a: 24, Lines with b: 15
>
> The exception seems to be happening with Spark cleanup after executing
> your code. Try adding sc.stop() at the end of your program to see if the
> exception goes away.
>
>
>
>
> On Wednesday, December 31, 2014 6:40 AM, Naveen Madhire <
> vmadh...@umail.iu.edu> wrote:
>
>
>
>
> Hi All,
>
> I am trying to run a sample Spark program using Scala SBT,
>
> Below is the program,
>
> def main(args: Array[String]) {
>
> val logFile = "E:/ApacheSpark/usb/usb/spark/bin/README.md" // Should
> be some file on your system
> val sc = new SparkContext("local", "Simple App",
> "E:/ApacheSpark/usb/usb/spark/bin",List("target/scala-2.10/sbt2_2.10-1.0.jar"))
> val logData = sc.textFile(logFile, 2).cache()
>
> val numAs = logData.filter(line => line.contains("a")).count()
> val numBs = logData.filter(line => line.contains("b")).count()
>
> println("Lines with a: %s, Lines with b: %s".format(numAs, numBs))
>
> }
>
>
> Below is the error log,
>
>
> 14/12/30 23:20:21 INFO rdd.HadoopRDD: Input split:
> file:/E:/ApacheSpark/usb/usb/spark/bin/README.md:0+673
> 14/12/30 23:20:21 INFO storage.MemoryStore: ensureFreeSpace(2032) called
> with curMem=34047, maxMem=280248975
> 14/12/30 23:20:21 INFO storage.MemoryStore: Block rdd_1_0 stored as values
> in memory (estimated size 2032.0 B, free 267.2 MB)
> 14/12/30 23:20:21 INFO storage.BlockManagerInfo: Added rdd_1_0 in memory
> on zealot:61452 (size: 2032.0 B, free: 267.3 MB)
> 14/12/30 23:20:21 INFO storage.BlockManagerMaster: Updated info of block
> rdd_1_0
> 14/12/30 23:20:21 INFO executor.Executor: Finished task 0.0 in stage 0.0
> (TID 0). 2300 bytes result sent to driver
> 14/12/30 23:20:21 INFO scheduler.TaskSetManager: Starting task 1.0 in
> stage 0.0 (TID 1, localhost, PROCESS_LOCAL, 1264 bytes)
> 14/12/30 23:20:21 INFO executor.Executor: Running task 1.0 in stage 0.0
> (TID 1)
> 14/12/30 23:20:21 INFO spark.CacheManager: Partition rdd_1_1 not found,
> computing it
> 14/12/30 23:20:21 INFO rdd.HadoopRDD: Input split:
> file:/E:/ApacheSpark/usb/usb/spark/bin/README.md:673+673
> 14/12/30 23:20:21 INFO scheduler.TaskSetManager: Finished task 0.0 in
> stage 0.0 (TID 0) in 3507 ms on localhost (1/2)
> 14/12/30 23:20:21 INFO storage.MemoryStore: ensureFreeSpace(1912) called
> with curMem=36079, maxMem=280248975
> 14/12/30 23:20:21 INFO storage.MemoryStore: Block rdd_1_1 stored as values
> in memory (estimated size 1912.0 B, free 267.2 MB)
> 14/12/30 23:20:21 INFO storage.BlockManagerInfo: Added rdd_1_1 in memory
> on zealot:61452 (size: 1912.0 B, free: 267.3 MB)
> 14/12/30 23:20:21 INFO storage.BlockManagerMaster: Updated info of block
> rdd_1_1
> 14/12/30 23:20:21 INFO executor.Executor: Finished task 1.0 in stage 0.0
> (TID 1). 2300 bytes result sent to driver
> 14/12/30 23:20:21 INFO scheduler.TaskSetManager: Finished task 1.0 in
> stage 0.0 (TID 1) in 261 ms on localhost (2/2)
> 14/12/30 23:20:21 INFO scheduler.TaskSchedulerImpl: Removed TaskSet 0.0,
> whose tasks have all completed, from pool
> 14/12/30 23:20:21 INFO scheduler.DAGScheduler: Stage 0 (count at
> Test1.scala:19) finished in 3.811 s
> 14/12/30 23:20:21 INFO spark.SparkContext: Job finished: count at
> Test1.scala:19, took 3.997365232 s
> 14/12/30 23:20:21 INFO spark.SparkContext: Starting job: count at
> Test1.scala:20
> 14/12/30 23:20:21 INFO scheduler.DAGScheduler: Got job 1 (count at
> Test1.scala:20) with 2 output partitions (allowLocal=false)
> 14/12/30 23:20:21 INFO scheduler.DAGScheduler: Final stage: Stage 1(count
> at Test1.scala:20)
> 14/12/30 23:20:21 INFO scheduler.DAGScheduler: Parents of final stage:
> List()
> 14/12/30 23:20:21 INFO scheduler.DAGScheduler: Missing parents: List()
> 14/12/30 23:20:21 INFO scheduler.DAGScheduler: Submitting Stage 1
> (FilteredRDD[3] at filter at Test1.scala:20), which has no missing parents
> 14/12/30 23:20:21 INFO storage.MemoryStore: ensureFreeSpace(2600) called
> with curMem=37991, maxMem=280248975
> 14/12/30 23:20:21 INFO storage.MemoryStore: Block broadcast_2 stored as
> values in memory (estimated size 2.5 KB, free 267.2 MB)
> 14/12/30 23:20:21 INFO scheduler.DAGScheduler: Submitting 2 missing tasks
> from Stage 1 (FilteredRDD[3] at filter at Test1.scala:20)
> 14/12/30 23:20:21 INFO scheduler.TaskSchedulerImpl: Adding task set 1.0
> with 2 tasks
> 14/12/30 23:20:21 INFO scheduler.TaskSetManager: Starting task 0.0 in
> stage 1.0 (TID 2, localhost, ANY, 1264 bytes)
> 14/12/30 23:20:21 INFO executor.Executor: Running task 0.0 in stage 1.0
> (TID 2)
> 14/12/30 23:20:21 INFO storage.BlockManager: Found block rdd_1_0 locally
> 14/12/30 23:20:21 INFO executor.Executor: Finished task 0.0 in stage 1.0
> (TID 2). 1731 bytes result sent to driver
> 14/12/30 23:20:21 INFO scheduler.TaskSetManager: Starting task 1.0 in
> stage 1.0 (TID 3, localhost, ANY, 1264 bytes)
> 14/12/30 23:20:21 INFO executor.Executor: Running task 1.0 in stage 1.0
> (TID 3)
> 14/12/30 23:20:21 INFO storage.BlockManager: Found block rdd_1_1 locally
> 14/12/30 23:20:21 INFO executor.Executor: Finished task 1.0 in stage 1.0
> (TID 3). 1731 bytes result sent to driver
> 14/12/30 23:20:21 INFO scheduler.TaskSetManager: Finished task 1.0 in
> stage 1.0 (TID 3) in 7 ms on localhost (1/2)
> 14/12/30 23:20:21 INFO scheduler.TaskSetManager: Finished task 0.0 in
> stage 1.0 (TID 2) in 16 ms on localhost (2/2)
> 14/12/30 23:20:21 INFO scheduler.DAGScheduler: Stage 1 (count at
> Test1.scala:20) finished in 0.016 s
> 14/12/30 23:20:21 INFO scheduler.TaskSchedulerImpl: Removed TaskSet 1.0,
> whose tasks have all completed, from pool
> 14/12/30 23:20:21 INFO spark.SparkContext: Job finished: count at
> Test1.scala:20, took 0.041709824 s
> Lines with a: 24, Lines with b: 15
> 14/12/30 23:20:21 ERROR util.Utils: Uncaught exception in thread
> SparkListenerBus
> java.lang.InterruptedException
> at
> java.util.concurrent.locks.AbstractQueuedSynchronizer.acquireSharedInterruptibly(AbstractQueuedSynchronizer.java:1301)
> at java.util.concurrent.Semaphore.acquire(Semaphore.java:317)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1.apply$mcV$sp(LiveListenerBus.scala:48)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1.apply(LiveListenerBus.scala:47)
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1$$anonfun$run$1.apply(LiveListenerBus.scala:47)
> at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1311)
> [success] Total time: 12 s, completed Dec 30, 2014 11:20:21 PM
> at
> org.apache.spark.scheduler.LiveListenerBus$$anon$1.run(LiveListenerBus.scala:46)
> 14/12/30 23:20:21 ERROR spark.ContextCleaner: Error in cleaning thread
> java.lang.InterruptedException
> at java.lang.Object.wait(Native Method)
> at java.lang.ref.ReferenceQueue.remove(ReferenceQueue.java:135)
> at
> org.apache.spark.ContextCleaner$$anonfun$org$apache$spark$ContextCleaner$$keepCleaning$1.apply$mcV$sp(ContextCleaner.scala:136)
> at
> org.apache.spark.ContextCleaner$$anonfun$org$apache$spark$ContextCleaner$$keepCleaning$1.apply(ContextCleaner.scala:134)
> at
> org.apache.spark.ContextCleaner$$anonfun$org$apache$spark$ContextCleaner$$keepCleaning$1.apply(ContextCleaner.scala:134)
> at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1311)
> at org.apache.spark.ContextCleaner.org
> <http://org.apache.spark.contextcleaner.org/>
> $apache$spark$ContextCleaner$$keepCleaning(ContextCleaner.scala:133)
> at org.apache.spark.ContextCleaner$$anon$3.run(ContextCleaner.scala:65)
> 14/12/30 23:20:21 INFO network.ConnectionManager: Selector thread was
> interrupted!
> 14/12/30 23:20:21 INFO storage.BlockManager: Removing broadcast 2
> 14/12/30 23:20:21 INFO storage.BlockManager: Removing block broadcast_2
> 14/12/30 23:20:21 INFO storage.MemoryStore: Block broadcast_2 of size 2600
> dropped from memory (free 280210984)
> 14/12/30 23:20:21 INFO spark.ContextCleaner: Cleaned broadcast 2
>
>
>
>
> Please let me know any pointers to debug the error.
>
>
> Thanks a lot.
>
>
>
>
