Hi, I downloaded spark 1.5.0 on windows 7 and built it using
build/mvn -Pyarn -Phadoop-2.4 -Dhadoop.version=2.4.0 -DskipTests clean package and tried running the Alternating least square example ( http://spark.apache.org/docs/latest/mllib-collaborative-filtering.html ) using spark-shell import org.apache.spark.mllib.recommendation.ALSimport org.apache.spark.mllib.recommendation.MatrixFactorizationModelimport org.apache.spark.mllib.recommendation.Ratingval data = sc.textFile("C://cygwin64//home//test.txt")val ratings = data.map(_.split(',') match { case Array(user, item, rate) => Rating(user.toInt, item.toInt, rate.toDouble) })val rank = 10val numIterations = 10val model = ALS.train(ratings, rank, numIterations, 0.01) after ALS.train I get the following error 5/10/08 11:01:08 ERROR Executor: Exception in task 1.0 in stage 1.0 (TID 3) java.lang.AssertionError: assertion failed: Current position 1413 do not equal to expected position 707 after transferTo, please check your kernel version to see if it is 2.6.32, this is a kernel bug which will lead to unexpected behavior when using transferTo. You can set spark.file.transferTo = false to disable this NIO feature. at scala.Predef$.assert(Predef.scala:179) at org.apache.spark.util.Utils$$anonfun$copyStream$1.apply$mcJ$sp(Utils.scala:273) at org.apache.spark.util.Utils$$anonfun$copyStream$1.apply(Utils.scala:252) at org.apache.spark.util.Utils$$anonfun$copyStream$1.apply(Utils.scala:252) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1206) at org.apache.spark.util.Utils$.copyStream(Utils.scala:292) at org.apache.spark.util.Utils.copyStream(Utils.scala) at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.writePartitionedFile(BypassMergeSortShuffleWriter.java:149) at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:80) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) at org.apache.spark.scheduler.Task.run(Task.scala:88) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1280) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1268) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1267) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1267) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697) at scala.Option.foreach(Option.scala:236) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1493) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1455) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1444) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1813) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1826) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1839) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1910) at org.apache.spark.rdd.RDD.count(RDD.scala:1121) at org.apache.spark.ml.recommendation.ALS$.train(ALS.scala:550) at org.apache.spark.mllib.recommendation.ALS.run(ALS.scala:239) at org.apache.spark.mllib.recommendation.ALS$.train(ALS.scala:328) at org.apache.spark.mllib.recommendation.ALS$.train(ALS.scala:346) at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:32) at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:37) at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:39) at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:41) at $iwC$$iwC$$iwC$$iwC.<init>(<console>:43) at $iwC$$iwC$$iwC.<init>(<console>:45) at $iwC$$iwC.<init>(<console>:47) at $iwC.<init>(<console>:49) at <init>(<console>:51) at .<init>(<console>:55) at .<clinit>(<console>) at .<init>(<console>:7) at .<clinit>(<console>) at $print(<console>) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:606) at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065) at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1340) at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840) at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871) at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819) at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857) at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902) at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814) at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657) at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665) at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$loop(SparkILoop.scala:670) at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:997) at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945) at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945) at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135) at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945) at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059) at org.apache.spark.repl.Main$.main(Main.scala:31) at org.apache.spark.repl.Main.main(Main.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:606) at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672) at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180) at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) am I missing something ? I was able to print the ratings variable.