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 > > > >
