Hi Naga, If you are trying to use classes from this jar, you will need to call the addJar method from the sparkcontext, which will put this jar in the all workers context. Even when you execute it in standalone.
2015-08-13 16:02 GMT-03:00 Naga Vij <nvbuc...@gmail.com>: > Hi Dirceu, > > Thanks for getting back to me on this. > > -- > > I am just trying standalone on my Mac and trying to understand what > exactly is going on behind this line ... > > -- > > 15/08/13 11:53:13 INFO Executor: Fetching > http://10.0.0.6:55518/jars/spark-examples-1.4.1-hadoop2.6.0.jar with > timestamp 1439491992525 > > -- > > Appears it is trying to retrieve the jar from a local URL > > -- > > "ifconfig -a" reveals my ip address as 10.0.0.6 but "nc -zv 10.0.0.6 > 55518" hung when tried from another Terminal window, whereas "nc -zv > localhost 55518" succeeded. > > -- > > Don't know how to overcome. Any ideas as applicable to standalone on Mac? > > -- > > Regards > > Naga > > On Thu, Aug 13, 2015 at 11:46 AM, Dirceu Semighini Filho < > dirceu.semigh...@gmail.com> wrote: > >> Hi Naga, >> This happened here sometimes when the memory of the spark cluster wasn't >> enough, and Java GC enters into an infinite loop trying to free some memory. >> To fix this I just added more memory to the Workers of my cluster, or you >> can increase the number of partitions of your RDD, using the repartition >> method. >> >> Regards, >> Dirceu >> >> 2015-08-13 13:47 GMT-03:00 Naga Vij <nvbuc...@gmail.com>: >> >>> Has anyone run into this? >>> >>> ---------- Forwarded message ---------- >>> From: Naga Vij <nvbuc...@gmail.com> >>> Date: Wed, Aug 12, 2015 at 5:47 PM >>> Subject: - Spark 1.4.1 - run-example SparkPi - Failure ... >>> To: u...@spark.apache.org >>> >>> >>> Hi, >>> >>> I am evaluating Spark 1.4.1 >>> >>> Any idea on why run-example SparkPi fails? >>> >>> Here's what I am encountering with Spark 1.4.1 on Mac OS X (10.9.5) ... >>> >>> >>> --------------------------------------------------------------------------------------------------------------- >>> >>> ~/spark-1.4.1 $ bin/run-example SparkPi >>> >>> Using Spark's default log4j profile: >>> org/apache/spark/log4j-defaults.properties >>> >>> 15/08/12 17:20:20 INFO SparkContext: Running Spark version 1.4.1 >>> >>> 15/08/12 17:20:20 WARN NativeCodeLoader: Unable to load native-hadoop >>> library for your platform... using builtin-java classes where applicable >>> >>> 15/08/12 17:20:20 INFO SecurityManager: Changing view acls to: nv >>> >>> 15/08/12 17:20:20 INFO SecurityManager: Changing modify acls to: nv >>> >>> 15/08/12 17:20:20 INFO SecurityManager: SecurityManager: authentication >>> disabled; ui acls disabled; users with view permissions: Set(nv); users >>> with modify permissions: Set(nv) >>> >>> 15/08/12 17:20:21 INFO Slf4jLogger: Slf4jLogger started >>> >>> 15/08/12 17:20:21 INFO Remoting: Starting remoting >>> >>> 15/08/12 17:20:21 INFO Remoting: Remoting started; listening on >>> addresses :[akka.tcp://sparkDriver@10.0.0.6:53024] >>> >>> 15/08/12 17:20:21 INFO Utils: Successfully started service 'sparkDriver' >>> on port 53024. >>> >>> 15/08/12 17:20:21 INFO SparkEnv: Registering MapOutputTracker >>> >>> 15/08/12 17:20:21 INFO SparkEnv: Registering BlockManagerMaster >>> >>> 15/08/12 17:20:21 INFO DiskBlockManager: Created local directory at >>> /private/var/folders/0j/bkhg_dw17w96qxddkmryz63r0000gn/T/spark-52fc9b2e-52b1-4456-a6e4-36ee2505fa01/blockmgr-1a7c45b7-0839-420a-99db-737414f35bd7 >>> >>> 15/08/12 17:20:21 INFO MemoryStore: MemoryStore started with capacity >>> 265.4 MB >>> >>> 15/08/12 17:20:21 INFO HttpFileServer: HTTP File server directory is >>> /private/var/folders/0j/bkhg_dw17w96qxddkmryz63r0000gn/T/spark-52fc9b2e-52b1-4456-a6e4-36ee2505fa01/httpd-2ef0b6b9-8614-41be-bc73-6ba856694d5e >>> >>> 15/08/12 17:20:21 INFO HttpServer: Starting HTTP Server >>> >>> 15/08/12 17:20:21 INFO Utils: Successfully started service 'HTTP file >>> server' on port 53025. >>> >>> 15/08/12 17:20:21 INFO SparkEnv: Registering OutputCommitCoordinator >>> >>> 15/08/12 17:20:21 INFO Utils: Successfully started service 'SparkUI' on >>> port 4040. >>> >>> 15/08/12 17:20:21 INFO SparkUI: Started SparkUI at http://10.0.0.6:4040 >>> >>> 15/08/12 17:20:21 INFO SparkContext: Added JAR >>> file:/Users/nv/spark-1.4.1/examples/target/scala-2.10/spark-examples-1.4.1-hadoop2.6.0.jar >>> at http://10.0.0.6:53025/jars/spark-examples-1.4.1-hadoop2.6.0.jar with >>> timestamp 1439425221758 >>> >>> 15/08/12 17:20:21 INFO Executor: Starting executor ID driver on host >>> localhost >>> >>> 15/08/12 17:20:21 INFO Utils: Successfully started service >>> 'org.apache.spark.network.netty.NettyBlockTransferService' on port 53026. >>> >>> 15/08/12 17:20:21 INFO NettyBlockTransferService: Server created on 53026 >>> >>> 15/08/12 17:20:21 INFO BlockManagerMaster: Trying to register >>> BlockManager >>> >>> 15/08/12 17:20:21 INFO BlockManagerMasterEndpoint: Registering block >>> manager localhost:53026 with 265.4 MB RAM, BlockManagerId(driver, >>> localhost, 53026) >>> >>> 15/08/12 17:20:21 INFO BlockManagerMaster: Registered BlockManager >>> >>> 15/08/12 17:20:22 INFO SparkContext: Starting job: reduce at >>> SparkPi.scala:35 >>> >>> 15/08/12 17:20:22 INFO DAGScheduler: Got job 0 (reduce at >>> SparkPi.scala:35) with 2 output partitions (allowLocal=false) >>> >>> 15/08/12 17:20:22 INFO DAGScheduler: Final stage: ResultStage 0(reduce >>> at SparkPi.scala:35) >>> >>> 15/08/12 17:20:22 INFO DAGScheduler: Parents of final stage: List() >>> >>> 15/08/12 17:20:22 INFO DAGScheduler: Missing parents: List() >>> >>> 15/08/12 17:20:22 INFO DAGScheduler: Submitting ResultStage 0 >>> (MapPartitionsRDD[1] at map at SparkPi.scala:31), which has no missing >>> parents >>> >>> 15/08/12 17:20:22 INFO MemoryStore: ensureFreeSpace(1888) called with >>> curMem=0, maxMem=278302556 >>> >>> 15/08/12 17:20:22 INFO MemoryStore: Block broadcast_0 stored as values >>> in memory (estimated size 1888.0 B, free 265.4 MB) >>> >>> 15/08/12 17:20:22 INFO MemoryStore: ensureFreeSpace(1202) called with >>> curMem=1888, maxMem=278302556 >>> >>> 15/08/12 17:20:22 INFO MemoryStore: Block broadcast_0_piece0 stored as >>> bytes in memory (estimated size 1202.0 B, free 265.4 MB) >>> >>> 15/08/12 17:20:22 INFO BlockManagerInfo: Added broadcast_0_piece0 in >>> memory on localhost:53026 (size: 1202.0 B, free: 265.4 MB) >>> >>> 15/08/12 17:20:22 INFO SparkContext: Created broadcast 0 from broadcast >>> at DAGScheduler.scala:874 >>> >>> 15/08/12 17:20:22 INFO DAGScheduler: Submitting 2 missing tasks from >>> ResultStage 0 (MapPartitionsRDD[1] at map at SparkPi.scala:31) >>> >>> 15/08/12 17:20:22 INFO TaskSchedulerImpl: Adding task set 0.0 with 2 >>> tasks >>> >>> 15/08/12 17:20:22 INFO TaskSetManager: Starting task 0.0 in stage 0.0 >>> (TID 0, localhost, PROCESS_LOCAL, 1442 bytes) >>> >>> 15/08/12 17:20:22 INFO TaskSetManager: Starting task 1.0 in stage 0.0 >>> (TID 1, localhost, PROCESS_LOCAL, 1442 bytes) >>> >>> 15/08/12 17:20:22 INFO Executor: Running task 0.0 in stage 0.0 (TID 0) >>> >>> 15/08/12 17:20:22 INFO Executor: Running task 1.0 in stage 0.0 (TID 1) >>> >>> 15/08/12 17:20:22 INFO Executor: Fetching >>> http://10.0.0.6:53025/jars/spark-examples-1.4.1-hadoop2.6.0.jar with >>> timestamp 1439425221758 >>> >>> 15/08/12 17:21:22 INFO Executor: Fetching >>> http://10.0.0.6:53025/jars/spark-examples-1.4.1-hadoop2.6.0.jar with >>> timestamp 1439425221758 >>> >>> 15/08/12 17:21:22 ERROR Executor: Exception in task 1.0 in stage 0.0 >>> (TID 1) >>> >>> java.net.SocketTimeoutException: connect timed out >>> >>> at java.net.PlainSocketImpl.socketConnect(Native Method) >>> >>> at >>> java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:339) >>> >>> at >>> java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:200) >>> >>> at >>> java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:182) >>> >>> at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392) >>> >>> at java.net.Socket.connect(Socket.java:579) >>> >>> at sun.net.NetworkClient.doConnect(NetworkClient.java:175) >>> >>> at sun.net.www.http.HttpClient.openServer(HttpClient.java:432) >>> >>> at sun.net.www.http.HttpClient.openServer(HttpClient.java:527) >>> >>> at sun.net.www.http.HttpClient.<init>(HttpClient.java:211) >>> >>> at sun.net.www.http.HttpClient.New(HttpClient.java:308) >>> >>> at sun.net.www.http.HttpClient.New(HttpClient.java:326) >>> >>> at >>> sun.net.www.protocol.http.HttpURLConnection.getNewHttpClient(HttpURLConnection.java:996) >>> >>> at >>> sun.net.www.protocol.http.HttpURLConnection.plainConnect(HttpURLConnection.java:932) >>> >>> at >>> sun.net.www.protocol.http.HttpURLConnection.connect(HttpURLConnection.java:850) >>> >>> at org.apache.spark.util.Utils$.doFetchFile(Utils.scala:639) >>> >>> at org.apache.spark.util.Utils$.fetchFile(Utils.scala:453) >>> >>> at >>> org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$5.apply(Executor.scala:398) >>> >>> at >>> org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$5.apply(Executor.scala:390) >>> >>> at >>> scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772) >>> >>> at >>> scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98) >>> >>> at >>> scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98) >>> >>> at >>> scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:226) >>> >>> at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39) >>> >>> at scala.collection.mutable.HashMap.foreach(HashMap.scala:98) >>> >>> at >>> scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:771) >>> >>> at org.apache.spark.executor.Executor.org >>> $apache$spark$executor$Executor$$updateDependencies(Executor.scala:390) >>> >>> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:193) >>> >>> at >>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) >>> >>> at >>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) >>> >>> at java.lang.Thread.run(Thread.java:745) >>> >>> --------------------------------------------------------------------------------------------------------------- >>> >>> Thanks >>> Naga >>> >>> >>> >>> >> >
