Can you give me the whole logs? TD
On Tue, Feb 10, 2015 at 10:48 AM, Jon Gregg <jonrgr...@gmail.com> wrote: > OK that worked and getting close here ... the job ran successfully for a > bit and I got output for the first couple buckets before getting a > "java.lang.Exception: Could not compute split, block input-0-1423593163000 > not found" error. > > So I bumped up the memory at the command line from 2 gb to 5 gb, ran it > again ... this time I got around 8 successful outputs before erroring. > > Bumped up the memory from 5 gb to 10 gb ... got around 15 successful > outputs before erroring. > > > I'm not persisting or caching anything except for the broadcast IP table > and another broadcast small user agents list used for the same type of > filtering, and both files are tiny. The Hadoop cluster is nearly empty > right now and has more than enough available memory to handle this job. I > am connecting to Kafka as well and so there's a lot of data coming through > as my index is trying to catch up to the current date, but yarn-client mode > has several times in the past few weeks been able to catch up to the > current date and run successfully for days without issue. > > My guess is memory isn't being cleared after each bucket? Relevant > portion of the log below. > > > 15/02/10 13:34:54 INFO BlockManagerInfo: Removed input-0-1423593134400 on > phd40010023.na.com:55551 in memory (size: 50.1 MB, free: 10.2 GB) > 15/02/10 13:34:54 INFO BlockManagerInfo: Removed input-0-1423593135400 on > phd40010023.na.com:55551 in memory (size: 24.9 MB, free: 10.2 GB) > 15/02/10 13:34:54 INFO BlockManagerInfo: Removed input-0-1423593136400 on > phd40010023.na.com:55551 in memory (size: 129.0 MB, free: 10.3 GB) > 15/02/10 13:34:54 INFO BlockManagerInfo: Removed input-0-1423593137000 on > phd40010023.na.com:55551 in memory (size: 112.4 MB, free: 10.4 GB) > 15/02/10 13:34:54 INFO BlockManagerInfo: Removed input-0-1423593137200 on > phd40010023.na.com:55551 in memory (size: 481.0 B, free: 10.4 GB) > 15/02/10 13:34:54 INFO BlockManagerInfo: Removed input-0-1423593137800 on > phd40010023.na.com:55551 in memory (size: 44.6 MB, free: 10.5 GB) > 15/02/10 13:34:54 INFO MappedRDD: Removing RDD 754 from persistence list > 15/02/10 13:34:54 INFO BlockManagerInfo: Removed input-0-1423593138400 on > phd40010023.na.com:55551 in memory (size: 95.8 MB, free: 10.6 GB) > 15/02/10 13:34:54 INFO BlockManager: Removing RDD 754 > 15/02/10 13:34:54 INFO MapPartitionsRDD: Removing RDD 753 from persistence > list > 15/02/10 13:34:54 INFO BlockManagerInfo: Removed input-0-1423593138600 on > phd40010023.na.com:55551 in memory (size: 123.2 MB, free: 10.7 GB) > 15/02/10 13:34:54 INFO BlockManagerInfo: Removed input-0-1423593138800 on > phd40010023.na.com:55551 in memory (size: 5.2 KB, free: 10.7 GB) > 15/02/10 13:34:54 INFO BlockManager: Removing RDD 753 > 15/02/10 13:34:54 INFO MappedRDD: Removing RDD 750 from persistence list > 15/02/10 13:34:54 INFO BlockManagerInfo: Removed input-0-1423593139600 on > phd40010023.na.com:55551 in memory (size: 106.4 MB, free: 10.8 GB) > 15/02/10 13:34:54 INFO BlockManagerInfo: Removed input-0-1423593139800 on > phd40010023.na.com:55551 in memory (size: 107.0 MB, free: 10.9 GB) > 15/02/10 13:34:54 INFO BlockManagerInfo: Removed input-0-1423593140000 on > phd40010023.na.com:55551 in memory (size: 59.5 MB, free: 10.9 GB) > 15/02/10 13:34:54 INFO BlockManager: Removing RDD 750 > 15/02/10 13:34:54 INFO MappedRDD: Removing RDD 749 from persistence list > 15/02/10 13:34:54 INFO DAGScheduler: Missing parents: List(Stage 117, > Stage 114, Stage 115, Stage 116) > 15/02/10 13:34:54 INFO BlockManagerInfo: Removed input-0-1423593140200 on > phd40010023.na.com:55551 in memory (size: 845.0 B, free: 10.9 GB) > 15/02/10 13:34:54 INFO BlockManagerInfo: Removed input-0-1423593140600 on > phd40010023.na.com:55551 in memory (size: 19.2 MB, free: 11.0 GB) > 15/02/10 13:34:54 INFO BlockManagerInfo: Removed input-0-1423593140800 on > phd40010023.na.com:55551 in memory (size: 492.0 B, free: 11.0 GB) > 15/02/10 13:34:54 INFO BlockManagerInfo: Removed input-0-1423593141000 on > phd40010023.na.com:55551 in memory (size: 1018.0 B, free: 11.0 GB) > 15/02/10 13:34:54 INFO BlockManager: Removing RDD 749 > 15/02/10 13:34:54 INFO BlockManagerInfo: Removed input-0-1423593142400 on > phd40010023.na.com:55551 in memory (size: 48.6 MB, free: 11.0 GB) > 15/02/10 13:34:54 INFO MappedRDD: Removing RDD 767 from persistence list > 15/02/10 13:34:54 INFO BlockManagerInfo: Removed input-0-1423593142600 on > phd40010023.na.com:55551 in memory (size: 4.9 KB, free: 11.0 GB) > 15/02/10 13:34:54 INFO BlockManagerInfo: Removed input-0-1423593142800 on > phd40010023.na.com:55551 in memory (size: 780.0 B, free: 11.0 GB) > 15/02/10 13:34:54 INFO BlockManagerInfo: Removed input-0-1423593143800 on > phd40010023.na.com:55551 in memory (size: 847.0 B, free: 11.0 GB) > 15/02/10 13:34:54 INFO BlockManager: Removing RDD 767 > 15/02/10 13:34:54 INFO BlockManagerInfo: Removed input-0-1423593144400 on > phd40010023.na.com:55551 in memory (size: 43.7 MB, free: 11.1 GB) > 15/02/10 13:34:54 INFO MapPartitionsRDD: Removing RDD 766 from persistence > list > 15/02/10 13:34:54 INFO BlockManager: Removing RDD 766 > 15/02/10 13:34:54 INFO MappedRDD: Removing RDD 763 from persistence list > 15/02/10 13:34:54 INFO BlockManagerInfo: Removed input-0-1423593144600 on > phd40010023.na.com:55551 in memory (size: 827.0 B, free: 11.1 GB) > 15/02/10 13:34:54 INFO BlockManager: Removing RDD 763 > 15/02/10 13:34:54 INFO FilteredRDD: Removing RDD 762 from persistence list > 15/02/10 13:34:54 INFO BlockManagerInfo: Removed input-0-1423593144800 on > phd40010023.na.com:55551 in memory (size: 1509.0 B, free: 11.1 GB) > 15/02/10 13:34:54 INFO BlockManager: Removing RDD 762 > 15/02/10 13:34:54 INFO MappedRDD: Removing RDD 761 from persistence list > 15/02/10 13:34:54 INFO DAGScheduler: Submitting Stage 114 > (MapPartitionsRDD[836] at combineByKey at ShuffledDStream.scala:42), which > has no missing parents > 15/02/10 13:34:54 INFO BlockManagerInfo: Removed input-0-1423593147400 on > phd40010023.na.com:55551 in memory (size: 94.2 MB, free: 11.1 GB) > 15/02/10 13:34:54 INFO BlockManager: Removing RDD 761 > 15/02/10 13:34:54 INFO FilteredRDD: Removing RDD 760 from persistence list > 15/02/10 13:34:54 INFO BlockManagerInfo: Removed input-0-1423593147600 on > phd40010023.na.com:55551 in memory (size: 75.8 MB, free: 11.2 GB) > 15/02/10 13:34:54 INFO BlockManager: Removing RDD 760 > 15/02/10 13:34:54 INFO FilteredRDD: Removing RDD 759 from persistence list > 15/02/10 13:34:54 INFO BlockManager: Removing RDD 759 > 15/02/10 13:34:54 INFO FilteredRDD: Removing RDD 758 from persistence list > 15/02/10 13:34:54 INFO BlockManager: Removing RDD 758 > 15/02/10 13:34:54 INFO DAGScheduler: Submitting 10 missing tasks from > Stage 114 (MapPartitionsRDD[836] at combineByKey at > ShuffledDStream.scala:42) > 15/02/10 13:34:54 INFO FilteredRDD: Removing RDD 757 from persistence list > 15/02/10 13:34:54 INFO YarnClusterScheduler: Adding task set 114.0 with 10 > tasks > 15/02/10 13:34:54 INFO BlockManager: Removing RDD 757 > 15/02/10 13:34:54 INFO FilteredRDD: Removing RDD 756 from persistence list > 15/02/10 13:34:54 INFO TaskSetManager: Starting task 114.0:0 as TID 2417 > on executor 4: phd40010023.na.com (PROCESS_LOCAL) > 15/02/10 13:34:54 INFO BlockManager: Removing RDD 756 > 15/02/10 13:34:54 INFO TaskSetManager: Serialized task 114.0:0 as 2024 > bytes in 0 ms > 15/02/10 13:34:54 INFO TaskSetManager: Starting task 114.0:1 as TID 2418 > on executor 8: phd40010007.na.com (PROCESS_LOCAL) > 15/02/10 13:34:54 INFO DAGScheduler: Submitting Stage 115 > (MapPartitionsRDD[842] at combineByKey at ShuffledDStream.scala:42), which > has no missing parents > 15/02/10 13:34:54 INFO TaskSetManager: Serialized task 114.0:1 as 2024 > bytes in 0 ms > 15/02/10 13:34:54 INFO MappedRDD: Removing RDD 783 from persistence list > 15/02/10 13:34:54 INFO TaskSetManager: Starting task 114.0:2 as TID 2419 > on executor 6: phd40010002.na.com (PROCESS_LOCAL) > 15/02/10 13:34:54 INFO TaskSetManager: Serialized task 114.0:2 as 2024 > bytes in 0 ms > 15/02/10 13:34:54 INFO TaskSetManager: Starting task 114.0:3 as TID 2420 > on executor 7: phd40010003.na.com (PROCESS_LOCAL) > 15/02/10 13:34:54 INFO BlockManager: Removing RDD 783 > 15/02/10 13:34:54 INFO MapPartitionsRDD: Removing RDD 782 from persistence > list > 15/02/10 13:34:54 INFO DAGScheduler: Submitting 10 missing tasks from > Stage 115 (MapPartitionsRDD[842] at combineByKey at > ShuffledDStream.scala:42) > 15/02/10 13:34:54 INFO BlockManager: Removing RDD 782 > 15/02/10 13:34:54 INFO TaskSetManager: Serialized task 114.0:3 as 2024 > bytes in 0 ms > 15/02/10 13:34:54 INFO YarnClusterScheduler: Adding task set 115.0 with 10 > tasks > 15/02/10 13:34:54 INFO TaskSetManager: Starting task 114.0:4 as TID 2421 > on executor 1: phd40010027.na.com (PROCESS_LOCAL) > 15/02/10 13:34:54 INFO MappedRDD: Removing RDD 779 from persistence list > 15/02/10 13:34:54 INFO TaskSetManager: Serialized task 114.0:4 as 2024 > bytes in 0 ms > 15/02/10 13:34:54 INFO TaskSetManager: Starting task 114.0:5 as TID 2422 > on executor 4: phd40010023.na.com (PROCESS_LOCAL) > 15/02/10 13:34:54 INFO BlockManager: Removing RDD 779 > 15/02/10 13:34:54 INFO TaskSetManager: Serialized task 114.0:5 as 2024 > bytes in 0 ms > 15/02/10 13:34:54 INFO TaskSetManager: Starting task 114.0:6 as TID 2423 > on executor 8: phd40010007.na.com (PROCESS_LOCAL) > 15/02/10 13:34:54 INFO FilteredRDD: Removing RDD 778 from persistence list > 15/02/10 13:34:54 INFO TaskSetManager: Serialized task 114.0:6 as 2024 > bytes in 0 ms > 15/02/10 13:34:54 INFO TaskSetManager: Starting task 114.0:7 as TID 2424 > on executor 6: phd40010002.na.com (PROCESS_LOCAL) > 15/02/10 13:34:54 INFO BlockManager: Removing RDD 778 > 15/02/10 13:34:54 INFO TaskSetManager: Serialized task 114.0:7 as 2024 > bytes in 1 ms > 15/02/10 13:34:54 INFO FilteredRDD: Removing RDD 777 from persistence list > 15/02/10 13:34:54 INFO TaskSetManager: Starting task 114.0:8 as TID 2425 > on executor 7: phd40010003.na.com (PROCESS_LOCAL) > 15/02/10 13:34:54 INFO TaskSetManager: Serialized task 114.0:8 as 2024 > bytes in 0 ms > 15/02/10 13:34:54 INFO BlockManager: Removing RDD 777 > 15/02/10 13:34:54 INFO TaskSetManager: Starting task 114.0:9 as TID 2426 > on executor 1: phd40010027.na.com (PROCESS_LOCAL) > 15/02/10 13:34:54 INFO TaskSetManager: Serialized task 114.0:9 as 2024 > bytes in 0 ms > 15/02/10 13:34:54 INFO FlatMappedRDD: Removing RDD 776 from persistence > list > 15/02/10 13:34:54 INFO BlockManager: Removing RDD 776 > 15/02/10 13:34:54 INFO FilteredRDD: Removing RDD 775 from persistence list > 15/02/10 13:34:54 INFO BlockManager: Removing RDD 775 > 15/02/10 13:34:54 INFO MappedRDD: Removing RDD 774 from persistence list > 15/02/10 13:34:54 INFO TaskSetManager: Starting task 115.0:0 as TID 2427 > on executor 4: phd40010023.na.com (PROCESS_LOCAL) > 15/02/10 13:34:54 INFO TaskSetManager: Serialized task 115.0:0 as 1910 > bytes in 0 ms > 15/02/10 13:34:54 INFO BlockManager: Removing RDD 774 > 15/02/10 13:34:54 INFO TaskSetManager: Starting task 115.0:1 as TID 2428 > on executor 6: phd40010002.na.com (PROCESS_LOCAL) > 15/02/10 13:34:54 INFO TaskSetManager: Serialized task 115.0:1 as 1910 > bytes in 0 ms > 15/02/10 13:34:54 INFO MapPartitionsRDD: Removing RDD 773 from persistence > list > 15/02/10 13:34:54 INFO TaskSetManager: Starting task 115.0:2 as TID 2429 > on executor 7: phd40010003.na.com (PROCESS_LOCAL) > 15/02/10 13:34:54 INFO TaskSetManager: Serialized task 115.0:2 as 1910 > bytes in 0 ms > 15/02/10 13:34:54 INFO BlockManager: Removing RDD 773 > 15/02/10 13:34:54 INFO TaskSetManager: Starting task 115.0:3 as TID 2430 > on executor 8: phd40010007.na.com (PROCESS_LOCAL) > 15/02/10 13:34:54 INFO TaskSetManager: Serialized task 115.0:3 as 1910 > bytes in 0 ms > 15/02/10 13:34:54 INFO MappedRDD: Removing RDD 770 from persistence list > 15/02/10 13:34:54 INFO BlockManager: Removing RDD 770 > 15/02/10 13:34:54 INFO FilteredRDD: Removing RDD 769 from persistence list > 15/02/10 13:34:54 INFO BlockManager: Removing RDD 769 > 15/02/10 13:34:54 INFO DAGScheduler: Submitting Stage 116 > (MapPartitionsRDD[855] at combineByKey at ShuffledDStream.scala:42), which > has no missing parents > 15/02/10 13:34:54 INFO DAGScheduler: Submitting 10 missing tasks from > Stage 116 (MapPartitionsRDD[855] at combineByKey at > ShuffledDStream.scala:42) > 15/02/10 13:34:54 INFO YarnClusterScheduler: Adding task set 116.0 with 10 > tasks > 15/02/10 13:34:54 INFO DAGScheduler: Submitting Stage 118 > (MapPartitionsRDD[862] at combineByKey at ShuffledDStream.scala:42), which > has no missing parents > 15/02/10 13:34:54 INFO DAGScheduler: Submitting 10 missing tasks from > Stage 118 (MapPartitionsRDD[862] at combineByKey at > ShuffledDStream.scala:42) > 15/02/10 13:34:54 INFO YarnClusterScheduler: Adding task set 118.0 with 10 > tasks > 15/02/10 13:34:54 INFO TaskSetManager: Starting task 115.0:4 as TID 2431 > on executor 1: phd40010027.na.com (PROCESS_LOCAL) > 15/02/10 13:34:54 INFO TaskSetManager: Serialized task 115.0:4 as 1910 > bytes in 0 ms > 15/02/10 13:34:54 INFO TaskSetManager: Starting task 115.0:5 as TID 2432 > on executor 1: phd40010027.na.com (PROCESS_LOCAL) > 15/02/10 13:34:54 INFO TaskSetManager: Serialized task 115.0:5 as 1910 > bytes in 0 ms > 15/02/10 13:34:54 INFO TaskSetManager: Starting task 115.0:6 as TID 2433 > on executor 4: phd40010023.na.com (PROCESS_LOCAL) > 15/02/10 13:34:54 INFO TaskSetManager: Serialized task 115.0:6 as 1910 > bytes in 0 ms > 15/02/10 13:34:54 INFO TaskSetManager: Starting task 115.0:7 as TID 2434 > on executor 4: phd40010023.na.com (PROCESS_LOCAL) > 15/02/10 13:34:54 INFO TaskSetManager: Serialized task 115.0:7 as 1910 > bytes in 0 ms > 15/02/10 13:34:54 INFO TaskSetManager: Starting task 115.0:8 as TID 2435 > on executor 4: phd40010023.na.com (PROCESS_LOCAL) > 15/02/10 13:34:54 INFO TaskSetManager: Serialized task 115.0:8 as 1910 > bytes in 0 ms > 15/02/10 13:34:54 WARN TaskSetManager: Lost TID 2421 (task 114.0:4) > 15/02/10 13:34:54 WARN TaskSetManager: Loss was due to java.lang.Exception > java.lang.Exception: Could not compute split, block input-0-1423593163000 > not found > at org.apache.spark.rdd.BlockRDD.compute(BlockRDD.scala:51) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:229) > at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:229) > at org.apache.spark.rdd.FilteredRDD.compute(FilteredRDD.scala:34) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:229) > at org.apache.spark.rdd.FlatMappedRDD.compute(FlatMappedRDD.scala:33) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:229) > at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:229) > at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:229) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:158) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99) > at org.apache.spark.scheduler.Task.run(Task.scala:51) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) > at java.lang.Thread.run(Thread.java:745) > 15/02/10 13:34:54 WARN TaskSetManager: Lost TID 2426 (task 114.0:9) > 15/02/10 13:34:54 WARN TaskSetManager: Loss was due to java.lang.Exception > java.lang.Exception: Could not compute split, block input-0-1423593164000 > not found > at org.apache.spark.rdd.BlockRDD.compute(BlockRDD.scala:51) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:229) > at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262) > > On Tue, Feb 10, 2015 at 1:07 PM, Sandy Ryza <sandy.r...@cloudera.com> > wrote: > >> You should be able to replace that second line with >> >> val sc = ssc.sparkContext >> >> On Tue, Feb 10, 2015 at 10:04 AM, Jon Gregg <jonrgr...@gmail.com> wrote: >> >>> They're separate in my code, how can I combine them? Here's what I have: >>> >>> val sparkConf = new SparkConf() >>> val ssc = new StreamingContext(sparkConf, Seconds(bucketSecs)) >>> >>> val sc = new SparkContext() >>> >>> On Tue, Feb 10, 2015 at 1:02 PM, Sandy Ryza <sandy.r...@cloudera.com> >>> wrote: >>> >>>> Is the SparkContext you're using the same one that the StreamingContext >>>> wraps? If not, I don't think using two is supported. >>>> >>>> -Sandy >>>> >>>> On Tue, Feb 10, 2015 at 9:58 AM, Jon Gregg <jonrgr...@gmail.com> wrote: >>>> >>>>> I'm still getting an error. Here's my code, which works successfully >>>>> when tested using spark-shell: >>>>> >>>>> val badIPs = sc.textFile("/user/sb/badfullIPs.csv").collect >>>>> val badIpSet = badIPs.toSet >>>>> val badIPsBC = sc.broadcast(badIpSet) >>>>> >>>>> >>>>> The job looks OK from my end: >>>>> >>>>> 15/02/07 18:59:58 INFO Client: Application report from ASM: >>>>> >>>>> application identifier: application_1423081782629_3861 >>>>> >>>>> appId: 3861 >>>>> >>>>> * clientToAMToken: Token { kind: YARN_CLIENT_TOKEN, service: >>>>> }* >>>>> >>>>> appDiagnostics: >>>>> >>>>> appMasterHost: phd40010008.na.com >>>>> >>>>> appQueue: root.default >>>>> >>>>> appMasterRpcPort: 0 >>>>> >>>>> appStartTime: 1423353581140 >>>>> >>>>> * yarnAppState: RUNNING* >>>>> >>>>> distributedFinalState: UNDEFINED >>>>> >>>>> >>>>> But the streaming process never actually begins. The full log is >>>>> below, scroll to the end for the repeated warning "WARN >>>>> YarnClusterScheduler: Initial job has not accepted any resources; check >>>>> your cluster UI to ensure that workers are registered and have sufficient >>>>> memory". >>>>> >>>>> I'll note that I have a different Spark Streaming app called "dqd" >>>>> working successfully for a different job that uses only a StreamingContext >>>>> and not an additional SparkContext. But this app (called "sbStreamingTv") >>>>> uses both a SparkContext and a StreamingContext for grabbing a lookup file >>>>> in HDFS for IP filtering. * The references to line #198 from the log >>>>> below refers to the "val badIPs = >>>>> sc.textFile("/user/sb/badfullIPs.csv").collect" line shown above, and it >>>>> looks like Spark doesn't get beyond that point in the code.* >>>>> >>>>> Also, this job ("sbStreamingTv") does work successfully using >>>>> yarn-client, even with both a SparkContext and StreamingContext. It looks >>>>> to me that in yarn-cluster mode it's grabbing resources for the >>>>> StreamingContext but not for the SparkContext. >>>>> >>>>> Any ideas? >>>>> >>>>> Jon >>>>> >>>>> >>>>> 15/02/10 12:06:16 INFO MemoryStore: MemoryStore started with capacity >>>>> 1177.8 MB. >>>>> 15/02/10 12:06:16 INFO ConnectionManager: Bound socket to port 30129 >>>>> with id = ConnectionManagerId(phd40010008.na.com,30129) >>>>> 15/02/10 12:06:16 INFO BlockManagerMaster: Trying to register >>>>> BlockManager >>>>> 15/02/10 12:06:16 INFO BlockManagerInfo: Registering block manager >>>>> phd40010008.na.com:30129 with 1177.8 MB RAM >>>>> 15/02/10 12:06:16 INFO BlockManagerMaster: Registered BlockManager >>>>> 15/02/10 12:06:16 INFO HttpServer: Starting HTTP Server >>>>> 15/02/10 12:06:16 INFO HttpBroadcast: Broadcast server started at >>>>> http://10.229.16.108:35183 >>>>> 15/02/10 12:06:16 INFO HttpFileServer: HTTP File server directory is >>>>> /hdata/12/yarn/nm/usercache/jg/appcache/application_1423081782629_7370/container_1423081782629_7370_01_000001/tmp/spark-b73a964b-4d91-4af3-8246-48da420c1cec >>>>> 15/02/10 12:06:16 INFO HttpServer: Starting HTTP Server >>>>> 15/02/10 12:06:16 INFO JettyUtils: Adding filter: >>>>> org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter >>>>> 15/02/10 12:06:16 INFO SparkUI: Started SparkUI at >>>>> http://phd40010008.na.com:25869 >>>>> 15/02/10 12:06:17 INFO EventLoggingListener: Logging events to >>>>> /user/spark/applicationHistory/com.na.scalaspark.sbstreamingtv-1423587976801 >>>>> 15/02/10 12:06:17 INFO YarnClusterScheduler: Created >>>>> YarnClusterScheduler >>>>> 15/02/10 12:06:17 INFO ApplicationMaster$$anon$1: Adding shutdown hook >>>>> for context org.apache.spark.SparkContext@7f38095d >>>>> 15/02/10 12:06:17 INFO ApplicationMaster: Registering the >>>>> ApplicationMaster >>>>> 15/02/10 12:06:17 INFO ApplicationMaster: Allocating 3 executors. >>>>> 15/02/10 12:06:17 INFO YarnAllocationHandler: Will Allocate 3 executor >>>>> containers, each with 2432 memory >>>>> 15/02/10 12:06:17 INFO YarnAllocationHandler: Container request (host: >>>>> Any, priority: 1, capability: <memory:2432, vCores:1> >>>>> 15/02/10 12:06:17 INFO YarnAllocationHandler: Container request (host: >>>>> Any, priority: 1, capability: <memory:2432, vCores:1> >>>>> 15/02/10 12:06:17 INFO YarnAllocationHandler: Container request (host: >>>>> Any, priority: 1, capability: <memory:2432, vCores:1> >>>>> 15/02/10 12:06:20 INFO YarnClusterScheduler: >>>>> YarnClusterScheduler.postStartHook done >>>>> 15/02/10 12:06:20 WARN SparkConf: In Spark 1.0 and later >>>>> spark.local.dir will be overridden by the value set by the cluster manager >>>>> (via SPARK_LOCAL_DIRS in mesos/standalone and LOCAL_DIRS in YARN). >>>>> 15/02/10 12:06:20 INFO SecurityManager: Changing view acls to: jg >>>>> 15/02/10 12:06:20 INFO SecurityManager: SecurityManager: >>>>> authentication disabled; ui acls disabled; users with view permissions: >>>>> Set(jg) >>>>> 15/02/10 12:06:20 INFO Slf4jLogger: Slf4jLogger started >>>>> 15/02/10 12:06:20 INFO Remoting: Starting remoting >>>>> 15/02/10 12:06:20 INFO Remoting: Remoting started; listening on >>>>> addresses :[akka.tcp://sp...@phd40010008.na.com:43340] >>>>> 15/02/10 12:06:20 INFO Remoting: Remoting now listens on addresses: >>>>> [akka.tcp://sp...@phd40010008.na.com:43340] >>>>> 15/02/10 12:06:20 INFO SparkEnv: Registering MapOutputTracker >>>>> 15/02/10 12:06:20 INFO SparkEnv: Registering BlockManagerMaster >>>>> 15/02/10 12:06:20 INFO DiskBlockManager: Created local directory at >>>>> /hdata/1/yarn/nm/usercache/jg/appcache/application_1423081782629_7370/spark-local-20150210120620-f6e1 >>>>> 15/02/10 12:06:20 INFO DiskBlockManager: Created local directory at >>>>> /hdata/10/yarn/nm/usercache/jg/appcache/application_1423081782629_7370/spark-local-20150210120620-583d >>>>> 15/02/10 12:06:20 INFO DiskBlockManager: Created local directory at >>>>> /hdata/11/yarn/nm/usercache/jg/appcache/application_1423081782629_7370/spark-local-20150210120620-0b66 >>>>> 15/02/10 12:06:20 INFO DiskBlockManager: Created local directory at >>>>> /hdata/12/yarn/nm/usercache/jg/appcache/application_1423081782629_7370/spark-local-20150210120620-bc8f >>>>> 15/02/10 12:06:20 INFO DiskBlockManager: Created local directory at >>>>> /hdata/2/yarn/nm/usercache/jg/appcache/application_1423081782629_7370/spark-local-20150210120620-17e4 >>>>> 15/02/10 12:06:20 INFO DiskBlockManager: Created local directory at >>>>> /hdata/3/yarn/nm/usercache/jg/appcache/application_1423081782629_7370/spark-local-20150210120620-c01e >>>>> 15/02/10 12:06:20 INFO DiskBlockManager: Created local directory at >>>>> /hdata/4/yarn/nm/usercache/jg/appcache/application_1423081782629_7370/spark-local-20150210120620-915c >>>>> 15/02/10 12:06:20 INFO DiskBlockManager: Created local directory at >>>>> /hdata/5/yarn/nm/usercache/jg/appcache/application_1423081782629_7370/spark-local-20150210120620-38ff >>>>> 15/02/10 12:06:20 INFO DiskBlockManager: Created local directory at >>>>> /hdata/6/yarn/nm/usercache/jg/appcache/application_1423081782629_7370/spark-local-20150210120620-c92f >>>>> 15/02/10 12:06:20 INFO DiskBlockManager: Created local directory at >>>>> /hdata/7/yarn/nm/usercache/jg/appcache/application_1423081782629_7370/spark-local-20150210120620-b67a >>>>> 15/02/10 12:06:20 INFO DiskBlockManager: Created local directory at >>>>> /hdata/8/yarn/nm/usercache/jg/appcache/application_1423081782629_7370/spark-local-20150210120620-46fb >>>>> 15/02/10 12:06:20 INFO DiskBlockManager: Created local directory at >>>>> /hdata/9/yarn/nm/usercache/jg/appcache/application_1423081782629_7370/spark-local-20150210120620-9d11 >>>>> 15/02/10 12:06:20 INFO MemoryStore: MemoryStore started with capacity >>>>> 1177.8 MB. >>>>> 15/02/10 12:06:20 INFO ConnectionManager: Bound socket to port 55944 >>>>> with id = ConnectionManagerId(phd40010008.na.com,55944) >>>>> 15/02/10 12:06:20 INFO BlockManagerMaster: Trying to register >>>>> BlockManager >>>>> 15/02/10 12:06:20 INFO BlockManagerInfo: Registering block manager >>>>> phd40010008.na.com:55944 with 1177.8 MB RAM >>>>> 15/02/10 12:06:20 INFO BlockManagerMaster: Registered BlockManager >>>>> 15/02/10 12:06:20 INFO HttpFileServer: HTTP File server directory is >>>>> /hdata/12/yarn/nm/usercache/jg/appcache/application_1423081782629_7370/container_1423081782629_7370_01_000001/tmp/spark-b3daba9d-f743-4738-b6c2-f56e56813edd >>>>> 15/02/10 12:06:20 INFO HttpServer: Starting HTTP Server >>>>> 15/02/10 12:06:20 INFO JettyUtils: Adding filter: >>>>> org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter >>>>> 15/02/10 12:06:20 INFO SparkUI: Started SparkUI at >>>>> http://phd40010008.na.com:10612 >>>>> 15/02/10 12:06:20 INFO EventLoggingListener: Logging events to >>>>> /user/spark/applicationHistory/com.na.scalaspark.sbstreamingtv-1423587980782 >>>>> 15/02/10 12:06:20 INFO YarnClusterScheduler: Created >>>>> YarnClusterScheduler >>>>> 15/02/10 12:06:20 INFO YarnClusterScheduler: >>>>> YarnClusterScheduler.postStartHook done >>>>> 15/02/10 12:06:21 INFO MemoryStore: ensureFreeSpace(253715) called >>>>> with curMem=0, maxMem=1235012812 >>>>> 15/02/10 12:06:21 INFO MemoryStore: Block broadcast_0 stored as values >>>>> to memory (estimated size 247.8 KB, free 1177.6 MB) >>>>> 15/02/10 12:06:21 INFO FileInputFormat: Total input paths to process : >>>>> 1 >>>>> 15/02/10 12:06:21 INFO SparkContext: Starting job: collect at >>>>> sbStreamingTv.scala:198 >>>>> 15/02/10 12:06:21 INFO DAGScheduler: Got job 0 (collect at >>>>> sbStreamingTv.scala:198) with 2 output partitions (allowLocal=false) >>>>> 15/02/10 12:06:21 INFO DAGScheduler: Final stage: Stage 0(*collect at >>>>> sbStreamingTv.scala:198*) >>>>> 15/02/10 12:06:21 INFO DAGScheduler: Parents of final stage: List() >>>>> 15/02/10 12:06:21 INFO DAGScheduler: Missing parents: List() >>>>> 15/02/10 12:06:21 INFO DAGScheduler: Submitting Stage 0 (*MappedRDD[1] >>>>> at textFile at sbStreamingTv.scala:198*), which has no missing parents >>>>> 15/02/10 12:06:21 INFO DAGScheduler: Submitting 2 missing tasks from >>>>> Stage 0 (*MappedRDD[1] at textFile at sbStreamingTv.scala:198*) >>>>> 15/02/10 12:06:21 INFO YarnClusterScheduler: Adding task set 0.0 with >>>>> 2 tasks >>>>> 15/02/10 12:06:21 INFO AMRMClientImpl: Received new token for : >>>>> phd40010024.na.com:8041 >>>>> 15/02/10 12:06:21 INFO AMRMClientImpl: Received new token for : >>>>> phd40010002.na.com:8041 >>>>> 15/02/10 12:06:21 INFO AMRMClientImpl: Received new token for : >>>>> phd40010022.na.com:8041 >>>>> 15/02/10 12:06:21 INFO RackResolver: Resolved phd40010002.na.com to >>>>> /sdc/c4h5 >>>>> 15/02/10 12:06:21 INFO RackResolver: Resolved phd40010022.na.com to >>>>> /sdc/c4h5 >>>>> 15/02/10 12:06:21 INFO RackResolver: Resolved phd40010024.na.com to >>>>> /sdc/c4h1 >>>>> 15/02/10 12:06:21 INFO YarnAllocationHandler: Launching container >>>>> container_1423081782629_7370_01_000003 for on host phd40010002.na.com >>>>> 15/02/10 12:06:21 INFO YarnAllocationHandler: Launching >>>>> ExecutorRunnable. driverUrl: akka.tcp:// >>>>> sp...@phd40010008.na.com:58240/user/CoarseGrainedScheduler, >>>>> executorHostname: phd40010002.na.com >>>>> 15/02/10 12:06:21 INFO YarnAllocationHandler: Launching container >>>>> container_1423081782629_7370_01_000004 for on host phd40010022.na.com >>>>> 15/02/10 12:06:21 INFO ExecutorRunnable: Starting Executor Container >>>>> 15/02/10 12:06:21 INFO YarnAllocationHandler: Launching >>>>> ExecutorRunnable. driverUrl: akka.tcp:// >>>>> sp...@phd40010008.na.com:58240/user/CoarseGrainedScheduler, >>>>> executorHostname: phd40010022.na.com >>>>> 15/02/10 12:06:21 INFO ExecutorRunnable: Starting Executor Container >>>>> 15/02/10 12:06:21 INFO YarnAllocationHandler: Launching container >>>>> container_1423081782629_7370_01_000002 for on host phd40010024.na.com >>>>> 15/02/10 12:06:21 INFO YarnAllocationHandler: Launching >>>>> ExecutorRunnable. driverUrl: akka.tcp:// >>>>> sp...@phd40010008.na.com:58240/user/CoarseGrainedScheduler, >>>>> executorHostname: phd40010024.na.com >>>>> 15/02/10 12:06:21 INFO ContainerManagementProtocolProxy: >>>>> yarn.client.max-nodemanagers-proxies : 500 >>>>> 15/02/10 12:06:21 INFO ExecutorRunnable: Starting Executor Container >>>>> 15/02/10 12:06:21 INFO ContainerManagementProtocolProxy: >>>>> yarn.client.max-nodemanagers-proxies : 500 >>>>> 15/02/10 12:06:21 INFO ContainerManagementProtocolProxy: >>>>> yarn.client.max-nodemanagers-proxies : 500 >>>>> 15/02/10 12:06:21 INFO ExecutorRunnable: Setting up >>>>> ContainerLaunchContext >>>>> 15/02/10 12:06:21 INFO ExecutorRunnable: Setting up >>>>> ContainerLaunchContext >>>>> 15/02/10 12:06:21 INFO ExecutorRunnable: Setting up >>>>> ContainerLaunchContext >>>>> 15/02/10 12:06:21 INFO ExecutorRunnable: Preparing Local resources >>>>> 15/02/10 12:06:21 INFO ExecutorRunnable: Preparing Local resources >>>>> 15/02/10 12:06:21 INFO ExecutorRunnable: Preparing Local resources >>>>> 15/02/10 12:06:21 INFO ApplicationMaster: All executors have launched. >>>>> 15/02/10 12:06:21 INFO ApplicationMaster: Started progress reporter >>>>> thread - sleep time : 5000 >>>>> 15/02/10 12:06:21 INFO ExecutorRunnable: Prepared Local resources >>>>> Map(__spark__.jar -> resource { scheme: "hdfs" host: "nameservice1" port: >>>>> -1 file: >>>>> "/user/jg/.sparkStaging/application_1423081782629_7370/spark-assembly-1.0.0-cdh5.1.3-hadoop2.3.0-cdh5.1.3.jar" >>>>> } size: 93542713 timestamp: 1423587960750 type: FILE visibility: PRIVATE, >>>>> __app__.jar -> resource { scheme: "hdfs" host: "nameservice1" port: -1 >>>>> file: >>>>> "/user/jg/.sparkStaging/application_1423081782629_7370/sbStreamingTv-0.0.1-SNAPSHOT-jar-with-dependencies.jar" >>>>> } size: 95950353 timestamp: 1423587960370 type: FILE visibility: PRIVATE) >>>>> 15/02/10 12:06:21 INFO ExecutorRunnable: Prepared Local resources >>>>> Map(__spark__.jar -> resource { scheme: "hdfs" host: "nameservice1" port: >>>>> -1 file: >>>>> "/user/jg/.sparkStaging/application_1423081782629_7370/spark-assembly-1.0.0-cdh5.1.3-hadoop2.3.0-cdh5.1.3.jar" >>>>> } size: 93542713 timestamp: 1423587960750 type: FILE visibility: PRIVATE, >>>>> __app__.jar -> resource { scheme: "hdfs" host: "nameservice1" port: -1 >>>>> file: >>>>> "/user/jg/.sparkStaging/application_1423081782629_7370/sbStreamingTv-0.0.1-SNAPSHOT-jar-with-dependencies.jar" >>>>> } size: 95950353 timestamp: 1423587960370 type: FILE visibility: PRIVATE) >>>>> 15/02/10 12:06:21 INFO ExecutorRunnable: Prepared Local resources >>>>> Map(__spark__.jar -> resource { scheme: "hdfs" host: "nameservice1" port: >>>>> -1 file: >>>>> "/user/jg/.sparkStaging/application_1423081782629_7370/spark-assembly-1.0.0-cdh5.1.3-hadoop2.3.0-cdh5.1.3.jar" >>>>> } size: 93542713 timestamp: 1423587960750 type: FILE visibility: PRIVATE, >>>>> __app__.jar -> resource { scheme: "hdfs" host: "nameservice1" port: -1 >>>>> file: >>>>> "/user/jg/.sparkStaging/application_1423081782629_7370/sbStreamingTv-0.0.1-SNAPSHOT-jar-with-dependencies.jar" >>>>> } size: 95950353 timestamp: 1423587960370 type: FILE visibility: PRIVATE) >>>>> 15/02/10 12:06:21 INFO ExecutorRunnable: Setting up executor with >>>>> commands: List($JAVA_HOME/bin/java, -server, -XX:OnOutOfMemoryError='kill >>>>> %p', -Xms2048m -Xmx2048m , -Djava.io.tmpdir=$PWD/tmp, >>>>> -Dlog4j.configuration=log4j-spark-container.properties, >>>>> org.apache.spark.executor.CoarseGrainedExecutorBackend, akka.tcp:// >>>>> sp...@phd40010008.na.com:58240/user/CoarseGrainedScheduler, 1, >>>>> phd40010002.na.com, 1, 1>, <LOG_DIR>/stdout, 2>, <LOG_DIR>/stderr) >>>>> 15/02/10 12:06:21 INFO ExecutorRunnable: Setting up executor with >>>>> commands: List($JAVA_HOME/bin/java, -server, -XX:OnOutOfMemoryError='kill >>>>> %p', -Xms2048m -Xmx2048m , -Djava.io.tmpdir=$PWD/tmp, >>>>> -Dlog4j.configuration=log4j-spark-container.properties, >>>>> org.apache.spark.executor.CoarseGrainedExecutorBackend, akka.tcp:// >>>>> sp...@phd40010008.na.com:58240/user/CoarseGrainedScheduler, 3, >>>>> phd40010024.na.com, 1, 1>, <LOG_DIR>/stdout, 2>, <LOG_DIR>/stderr) >>>>> 15/02/10 12:06:21 INFO ExecutorRunnable: Setting up executor with >>>>> commands: List($JAVA_HOME/bin/java, -server, -XX:OnOutOfMemoryError='kill >>>>> %p', -Xms2048m -Xmx2048m , -Djava.io.tmpdir=$PWD/tmp, >>>>> -Dlog4j.configuration=log4j-spark-container.properties, >>>>> org.apache.spark.executor.CoarseGrainedExecutorBackend, akka.tcp:// >>>>> sp...@phd40010008.na.com:58240/user/CoarseGrainedScheduler, 2, >>>>> phd40010022.na.com, 1, 1>, <LOG_DIR>/stdout, 2>, <LOG_DIR>/stderr) >>>>> 15/02/10 12:06:21 INFO ContainerManagementProtocolProxy: Opening proxy >>>>> : phd40010022.na.com:8041 >>>>> 15/02/10 12:06:21 INFO ContainerManagementProtocolProxy: Opening proxy >>>>> : phd40010024.na.com:8041 >>>>> 15/02/10 12:06:21 INFO ContainerManagementProtocolProxy: Opening proxy >>>>> : phd40010002.na.com:8041 >>>>> 15/02/10 12:06:26 INFO CoarseGrainedSchedulerBackend: Registered >>>>> executor: Actor[akka.tcp:// >>>>> sparkexecu...@phd40010022.na.com:29369/user/Executor#43651774] with >>>>> ID 2 >>>>> 15/02/10 12:06:26 INFO CoarseGrainedSchedulerBackend: Registered >>>>> executor: Actor[akka.tcp:// >>>>> sparkexecu...@phd40010024.na.com:12969/user/Executor#1711844295] with >>>>> ID 3 >>>>> 15/02/10 12:06:26 INFO BlockManagerInfo: Registering block manager >>>>> phd40010022.na.com:14119 with 1178.1 MB RAM >>>>> 15/02/10 12:06:26 INFO BlockManagerInfo: Registering block manager >>>>> phd40010024.na.com:53284 with 1178.1 MB RAM >>>>> 15/02/10 12:06:29 INFO CoarseGrainedSchedulerBackend: Registered >>>>> executor: Actor[akka.tcp:// >>>>> sparkexecu...@phd40010002.na.com:35547/user/Executor#-1690254909] >>>>> with ID 1 >>>>> 15/02/10 12:06:29 INFO BlockManagerInfo: Registering block manager >>>>> phd40010002.na.com:62754 with 1178.1 MB RAM >>>>> 15/02/10 12:06:36 WARN YarnClusterScheduler: Initial job has not >>>>> accepted any resources; check your cluster UI to ensure that workers are >>>>> registered and have sufficient memory >>>>> 15/02/10 12:06:51 WARN YarnClusterScheduler: Initial job has not >>>>> accepted any resources; check your cluster UI to ensure that workers are >>>>> registered and have sufficient memory >>>>> 15/02/10 12:07:06 WARN YarnClusterScheduler: Initial job has not >>>>> accepted any resources; check your cluster UI to ensure that workers are >>>>> registered and have sufficient memory >>>>> 15/02/10 12:07:21 WARN YarnClusterScheduler: Initial job has not >>>>> accepted any resources; check your cluster UI to ensure that workers are >>>>> registered and have sufficient memory >>>>> 15/02/10 12:07:36 WARN YarnClusterScheduler: Initial job has not >>>>> accepted any resources; check your cluster UI to ensure that workers are >>>>> registered and have sufficient memory >>>>> 15/02/10 12:07:51 WARN YarnClusterScheduler: Initial job has not >>>>> accepted any resources; check your cluster UI to ensure that workers are >>>>> registered and have sufficient memory >>>>> 15/02/10 12:08:06 WARN YarnClusterScheduler: Initial job has not >>>>> accepted any resources; check your cluster UI to ensure that workers are >>>>> registered and have sufficient memory >>>>> 15/02/10 12:08:21 WARN YarnClusterScheduler: Initial job has not >>>>> accepted any resources; check your cluster UI to ensure that workers are >>>>> registered and have sufficient memory >>>>> 15/02/10 12:08:36 WARN YarnClusterScheduler: Initial job has not >>>>> accepted any resources; check your cluster UI to ensure that workers are >>>>> registered and have sufficient memory >>>>> 15/02/10 12:08:51 WARN YarnClusterScheduler: Initial job has not >>>>> accepted any resources; check your cluster UI to ensure that workers are >>>>> registered and have sufficient memory >>>>> 15/02/10 12:09:06 WARN YarnClusterScheduler: Initial job has not >>>>> accepted any resources; check your cluster UI to ensure that workers are >>>>> registered and have sufficient memory >>>>> 15/02/10 12:09:21 WARN YarnClusterScheduler: Initial job has not >>>>> accepted any resources; check your cluster UI to ensure that workers are >>>>> registered and have sufficient memory >>>>> 15/02/10 12:09:36 WARN YarnClusterScheduler: Initial job has not >>>>> accepted any resources; check your cluster UI to ensure that workers are >>>>> registered and have sufficient memory >>>>> 15/02/10 12:09:51 WARN YarnClusterScheduler: Initial job has not >>>>> accepted any resources; check your cluster UI to ensure that workers are >>>>> registered and have sufficient memory >>>>> 15/02/10 12:10:06 WARN YarnClusterScheduler: Initial job has not >>>>> accepted any resources; check your cluster UI to ensure that workers are >>>>> registered and have sufficient memory >>>>> 15/02/10 12:10:21 WARN YarnClusterScheduler: Initial job has not >>>>> accepted any resources; check your cluster UI to ensure that workers are >>>>> registered and have sufficient memory >>>>> 15/02/10 12:10:36 WARN YarnClusterScheduler: Initial job has not >>>>> accepted any resources; check your cluster UI to ensure that workers are >>>>> registered and have sufficient memory >>>>> 15/02/10 12:10:51 WARN YarnClusterScheduler: Initial job has not >>>>> accepted any resources; check your cluster UI to ensure that workers are >>>>> registered and have sufficient memory >>>>> >>>>> On Fri, Feb 6, 2015 at 3:24 PM, Sandy Ryza <sandy.r...@cloudera.com> >>>>> wrote: >>>>> >>>>>> You can call collect() to pull in the contents of an RDD into the >>>>>> driver: >>>>>> >>>>>> val badIPsLines = badIPs.collect() >>>>>> >>>>>> On Fri, Feb 6, 2015 at 12:19 PM, Jon Gregg <jonrgr...@gmail.com> >>>>>> wrote: >>>>>> >>>>>>> OK I tried that, but how do I convert an RDD to a Set that I can >>>>>>> then broadcast and cache? >>>>>>> >>>>>>> val badIPs = sc.textFile("hdfs:///user/jon/"+ "badfullIPs.csv") >>>>>>> val badIPsLines = badIPs.getLines >>>>>>> val badIpSet = badIPsLines.toSet >>>>>>> val badIPsBC = sc.broadcast(badIpSet) >>>>>>> >>>>>>> produces the error "value getLines is not a member of >>>>>>> org.apache.spark.rdd.RDD[String]". >>>>>>> >>>>>>> Leaving it as an RDD and then constantly joining I think will be too >>>>>>> slow for a streaming job. >>>>>>> >>>>>>> On Thu, Feb 5, 2015 at 8:06 PM, Sandy Ryza <sandy.r...@cloudera.com> >>>>>>> wrote: >>>>>>> >>>>>>>> Hi Jon, >>>>>>>> >>>>>>>> You'll need to put the file on HDFS (or whatever distributed >>>>>>>> filesystem you're running on) and load it from there. >>>>>>>> >>>>>>>> -Sandy >>>>>>>> >>>>>>>> On Thu, Feb 5, 2015 at 3:18 PM, YaoPau <jonrgr...@gmail.com> wrote: >>>>>>>> >>>>>>>>> I have a file "badFullIPs.csv" of bad IP addresses used for >>>>>>>>> filtering. In >>>>>>>>> yarn-client mode, I simply read it off the edge node, transform >>>>>>>>> it, and then >>>>>>>>> broadcast it: >>>>>>>>> >>>>>>>>> val badIPs = fromFile(edgeDir + "badfullIPs.csv") >>>>>>>>> val badIPsLines = badIPs.getLines >>>>>>>>> val badIpSet = badIPsLines.toSet >>>>>>>>> val badIPsBC = sc.broadcast(badIpSet) >>>>>>>>> badIPs.close >>>>>>>>> >>>>>>>>> How can I accomplish this in yarn-cluster mode? >>>>>>>>> >>>>>>>>> Jon >>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>>> -- >>>>>>>>> View this message in context: >>>>>>>>> http://apache-spark-user-list.1001560.n3.nabble.com/How-to-broadcast-a-variable-read-from-a-file-in-yarn-cluster-mode-tp21524.html >>>>>>>>> Sent from the Apache Spark User List mailing list archive at >>>>>>>>> Nabble.com. >>>>>>>>> >>>>>>>>> >>>>>>>>> --------------------------------------------------------------------- >>>>>>>>> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org >>>>>>>>> For additional commands, e-mail: user-h...@spark.apache.org >>>>>>>>> >>>>>>>>> >>>>>>>> >>>>>>> >>>>>> >>>>> >>>> >>> >> >