Hello all, This is probably me doing something obviously wrong, would really appreciate some pointers on how to fix this.
I installed spark-1.3.1-bin-hadoop2.6.tgz from the Spark download page [ https://spark.apache.org/downloads.html] and just untarred it on a local drive. I am on Mac OSX 10.9.5 and the JDK is 1.8.0_40. I ran the following commands (the first 3 run succesfully, I mention it here to rule out any possibility of it being an obviously bad install). 1) laptop$ bin/spark-shell scala> sc.parallelize(1 to 100).count() res0: Long = 100 scala> exit 2) laptop$ bin/pyspark >>> sc.parallelize(range(100)).count() 100 >>> quit() 3) laptop$ bin/spark-submit examples/src/main/python/pi.py Pi is roughly 3.142800 4) laptop$ bin/run-example SparkPi This hangs at this line (full stack trace is provided at the end of this mail) 15/05/23 07:52:10 INFO Executor: Fetching http://10.0.0.5:51575/jars/spark-examples-1.3.1-hadoop2.6.0.jar with timestamp 1432392670140 15/05/23 07:52:10 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0) java.net.SocketTimeoutException: connect timed out ... and finally dies with this message: Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost): java.net.SocketTimeoutException: connect timed out I checked with ifconfig -a on my box, 10.0.0.5 is my IP address on my local network. en0: flags=8863<UP,BROADCAST,SMART,RUNNING,SIMPLEX,MULTICAST> mtu 1500 ether 34:36:3b:d2:b0:f4 inet 10.0.0.5 netmask 0xffffff00 broadcast 10.0.0.255 media: autoselect status: active I think perhaps there may be some configuration I am missing. Being able to run jobs locally (without HDFS or creating a cluster) is essential for development, and the examples come from the Spark 1.3.1 Quick Start page [ https://spark.apache.org/docs/latest/quick-start.html], so this is probably something to do with my environment. Thanks in advance for any help you can provide. -sujit ===== Full output of SparkPi run (including stack trace) follows: Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties 15/05/23 08:08:55 INFO SparkContext: Running Spark version 1.3.1 15/05/23 08:08:57 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 15/05/23 08:08:57 INFO SecurityManager: Changing view acls to: palsujit 15/05/23 08:08:57 INFO SecurityManager: Changing modify acls to: palsujit 15/05/23 08:08:57 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(palsujit); users with modify permissions: Set(palsujit) 15/05/23 08:08:57 INFO Slf4jLogger: Slf4jLogger started 15/05/23 08:08:57 INFO Remoting: Starting remoting 15/05/23 08:08:58 INFO Remoting: Remoting started; listening on addresses :[akka.tcp://sparkDriver@10.0.0.5:52008] 15/05/23 08:08:58 INFO Utils: Successfully started service 'sparkDriver' on port 52008. 15/05/23 08:08:58 INFO SparkEnv: Registering MapOutputTracker 15/05/23 08:08:58 INFO SparkEnv: Registering BlockManagerMaster 15/05/23 08:08:58 INFO DiskBlockManager: Created local directory at /var/folders/z8/s_crq_2j2rqb9mv_4j8djsjnx359l2/T/spark-d97baddf-1b6f-41db-92bb-f82ab5184cb7/blockmgr-4ef3a194-1929-4dd3-a0e5-215175d8e41a 15/05/23 08:08:58 INFO MemoryStore: MemoryStore started with capacity 265.1 MB 15/05/23 08:08:58 INFO HttpFileServer: HTTP File server directory is /var/folders/z8/s_crq_2j2rqb9mv_4j8djsjnx359l2/T/spark-fdf36480-def0-44b7-9942-098d9ef3e2b4/httpd-e494852a-7d61-4441-8b80-566d9f820afb 15/05/23 08:08:58 INFO HttpServer: Starting HTTP Server 15/05/23 08:08:58 INFO Server: jetty-8.y.z-SNAPSHOT 15/05/23 08:08:58 INFO AbstractConnector: Started SocketConnector@0.0.0.0:52009 15/05/23 08:08:58 INFO Utils: Successfully started service 'HTTP file server' on port 52009. 15/05/23 08:08:58 INFO SparkEnv: Registering OutputCommitCoordinator 15/05/23 08:08:58 INFO Server: jetty-8.y.z-SNAPSHOT 15/05/23 08:08:58 INFO AbstractConnector: Started SelectChannelConnector@0.0.0.0:4040 15/05/23 08:08:58 INFO Utils: Successfully started service 'SparkUI' on port 4040. 15/05/23 08:08:58 INFO SparkUI: Started SparkUI at http://10.0.0.5:4040 15/05/23 08:08:58 INFO SparkContext: Added JAR file:/Users/palsujit/Software/spark-1.3.1-bin-hadoop2.6/lib/spark-examples-1.3.1-hadoop2.6.0.jar at http://10.0.0.5:52009/jars/spark-examples-1.3.1-hadoop2.6.0.jar with timestamp 1432393738514 15/05/23 08:08:58 INFO Executor: Starting executor ID <driver> on host localhost 15/05/23 08:08:58 INFO AkkaUtils: Connecting to HeartbeatReceiver: akka.tcp://sparkDriver@10.0.0.5:52008/user/HeartbeatReceiver 15/05/23 08:08:58 INFO NettyBlockTransferService: Server created on 52010 15/05/23 08:08:58 INFO BlockManagerMaster: Trying to register BlockManager 15/05/23 08:08:58 INFO BlockManagerMasterActor: Registering block manager localhost:52010 with 265.1 MB RAM, BlockManagerId(<driver>, localhost, 52010) 15/05/23 08:08:58 INFO BlockManagerMaster: Registered BlockManager 15/05/23 08:08:58 INFO SparkContext: Starting job: reduce at SparkPi.scala:35 15/05/23 08:08:58 INFO DAGScheduler: Got job 0 (reduce at SparkPi.scala:35) with 2 output partitions (allowLocal=false) 15/05/23 08:08:58 INFO DAGScheduler: Final stage: Stage 0(reduce at SparkPi.scala:35) 15/05/23 08:08:58 INFO DAGScheduler: Parents of final stage: List() 15/05/23 08:08:58 INFO DAGScheduler: Missing parents: List() 15/05/23 08:08:58 INFO DAGScheduler: Submitting Stage 0 (MapPartitionsRDD[1] at map at SparkPi.scala:31), which has no missing parents 15/05/23 08:08:58 INFO MemoryStore: ensureFreeSpace(1848) called with curMem=0, maxMem=278019440 15/05/23 08:08:58 INFO MemoryStore: Block broadcast_0 stored as values in memory (estimated size 1848.0 B, free 265.1 MB) 15/05/23 08:08:58 INFO MemoryStore: ensureFreeSpace(1296) called with curMem=1848, maxMem=278019440 15/05/23 08:08:58 INFO MemoryStore: Block broadcast_0_piece0 stored as bytes in memory (estimated size 1296.0 B, free 265.1 MB) 15/05/23 08:08:58 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on localhost:52010 (size: 1296.0 B, free: 265.1 MB) 15/05/23 08:08:58 INFO BlockManagerMaster: Updated info of block broadcast_0_piece0 15/05/23 08:08:58 INFO SparkContext: Created broadcast 0 from broadcast at DAGScheduler.scala:839 15/05/23 08:08:58 INFO DAGScheduler: Submitting 2 missing tasks from Stage 0 (MapPartitionsRDD[1] at map at SparkPi.scala:31) 15/05/23 08:08:58 INFO TaskSchedulerImpl: Adding task set 0.0 with 2 tasks 15/05/23 08:08:58 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, localhost, PROCESS_LOCAL, 1333 bytes) 15/05/23 08:08:58 INFO TaskSetManager: Starting task 1.0 in stage 0.0 (TID 1, localhost, PROCESS_LOCAL, 1333 bytes) 15/05/23 08:08:58 INFO Executor: Running task 0.0 in stage 0.0 (TID 0) 15/05/23 08:08:58 INFO Executor: Running task 1.0 in stage 0.0 (TID 1) 15/05/23 08:08:58 INFO Executor: Fetching http://10.0.0.5:52009/jars/spark-examples-1.3.1-hadoop2.6.0.jar with timestamp 1432393738514 15/05/23 08:09:58 INFO Executor: Fetching http://10.0.0.5:52009/jars/spark-examples-1.3.1-hadoop2.6.0.jar with timestamp 1432393738514 15/05/23 08:09:58 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:345) at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:206) at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:188) at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392) at java.net.Socket.connect(Socket.java:589) 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:1168) at sun.net.www.protocol.http.HttpURLConnection.plainConnect0(HttpURLConnection.java:1104) at sun.net.www.protocol.http.HttpURLConnection.plainConnect(HttpURLConnection.java:998) at sun.net.www.protocol.http.HttpURLConnection.connect(HttpURLConnection.java:932) at org.apache.spark.util.Utils$.doFetchFile(Utils.scala:610) at org.apache.spark.util.Utils$.fetchFile(Utils.scala:431) at org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$5.apply(Executor.scala:374) at org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$5.apply(Executor.scala:366) at scala.collection.TraversableLike$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:366) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:184) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) 15/05/23 08:09:58 WARN TaskSetManager: Lost task 1.0 in stage 0.0 (TID 1, localhost): java.net.SocketTimeoutException: connect timed out at java.net.PlainSocketImpl.socketConnect(Native Method) at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:345) at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:206) at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:188) at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392) at java.net.Socket.connect(Socket.java:589) 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:1168) at sun.net.www.protocol.http.HttpURLConnection.plainConnect0(HttpURLConnection.java:1104) at sun.net.www.protocol.http.HttpURLConnection.plainConnect(HttpURLConnection.java:998) at sun.net.www.protocol.http.HttpURLConnection.connect(HttpURLConnection.java:932) at org.apache.spark.util.Utils$.doFetchFile(Utils.scala:610) at org.apache.spark.util.Utils$.fetchFile(Utils.scala:431) at org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$5.apply(Executor.scala:374) at org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$5.apply(Executor.scala:366) at scala.collection.TraversableLike$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:366) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:184) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) 15/05/23 08:09:58 ERROR TaskSetManager: Task 1 in stage 0.0 failed 1 times; aborting job 15/05/23 08:09:58 INFO TaskSchedulerImpl: Cancelling stage 0 15/05/23 08:09:58 INFO Executor: Executor is trying to kill task 0.0 in stage 0.0 (TID 0) 15/05/23 08:09:58 INFO TaskSchedulerImpl: Stage 0 was cancelled 15/05/23 08:09:58 INFO DAGScheduler: Stage 0 (reduce at SparkPi.scala:35) failed in 60.065 s 15/05/23 08:09:58 INFO DAGScheduler: Job 0 failed: reduce at SparkPi.scala:35, took 60.191508 s Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 0.0 failed 1 times, most recent failure: Lost task 1.0 in stage 0.0 (TID 1, localhost): java.net.SocketTimeoutException: connect timed out at java.net.PlainSocketImpl.socketConnect(Native Method) at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:345) at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:206) at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:188) at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392) at java.net.Socket.connect(Socket.java:589) 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:1168) at sun.net.www.protocol.http.HttpURLConnection.plainConnect0(HttpURLConnection.java:1104) at sun.net.www.protocol.http.HttpURLConnection.plainConnect(HttpURLConnection.java:998) at sun.net.www.protocol.http.HttpURLConnection.connect(HttpURLConnection.java:932) at org.apache.spark.util.Utils$.doFetchFile(Utils.scala:610) at org.apache.spark.util.Utils$.fetchFile(Utils.scala:431) at org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$5.apply(Executor.scala:374) at org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$5.apply(Executor.scala:366) at scala.collection.TraversableLike$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:366) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:184) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org $apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1204) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1193) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1192) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1192) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:693) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:693) at scala.Option.foreach(Option.scala:236) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:693) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1393) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1354) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
