This issue is due to file permission issue. You need to execute spark operations using root command only.
Regards, Vijay Gharge On Fri, Dec 11, 2015 at 11:20 PM, Vijay Gharge <vijay.gha...@gmail.com> wrote: > One more question. Are you also running spark commands using root user ? > Meanwhile am trying to simulate this locally. > > > On Friday 11 December 2015, Lin, Hao <hao....@finra.org> wrote: > >> Here you go, thanks. >> >> >> >> -rw-r--r-- 1 root root 658M Dec 9 2014 /root/2008.csv >> >> >> >> *From:* Vijay Gharge [mailto:vijay.gha...@gmail.com] >> *Sent:* Friday, December 11, 2015 12:31 PM >> *To:* Lin, Hao >> *Cc:* user@spark.apache.org >> *Subject:* Re: how to access local file from Spark >> sc.textFile("file:///path to/myfile") >> >> >> >> Can you provide output of "ls -lh /root/2008.csv" ? >> >> On Friday 11 December 2015, Lin, Hao <hao....@finra.org> wrote: >> >> Hi, >> >> >> >> I have problem accessing local file, with such example: >> >> >> >> sc.textFile("file:///root/2008.csv").count() >> >> >> >> with error: File file:/root/2008.csv does not exist. >> >> The file clearly exists since, since if I missed type the file name to an >> non-existing one, it will show: >> >> >> >> Error: Input path does not exist >> >> >> >> Please help! >> >> >> >> The following is the error message: >> >> >> >> scala> sc.textFile("file:///root/2008.csv").count() >> >> 15/12/11 17:12:08 WARN TaskSetManager: Lost task 15.0 in stage 8.0 (TID >> 498, 10.162.167.24): java.io.FileNotFoundException: File >> file:/root/2008.csv does not exist >> >> at >> org.apache.hadoop.fs.RawLocalFileSystem.deprecatedGetFileStatus(RawLocalFileSystem.java:511) >> >> at >> org.apache.hadoop.fs.RawLocalFileSystem.getFileLinkStatusInternal(RawLocalFileSystem.java:724) >> >> at >> org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:501) >> >> at >> org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:397) >> >> at >> org.apache.hadoop.fs.ChecksumFileSystem$ChecksumFSInputChecker.<init>(ChecksumFileSystem.java:137) >> >> at >> org.apache.hadoop.fs.ChecksumFileSystem.open(ChecksumFileSystem.java:339) >> >> at org.apache.hadoop.fs.FileSystem.open(FileSystem.java:764) >> >> at >> org.apache.hadoop.mapred.LineRecordReader.<init>(LineRecordReader.java:108) >> >> at >> org.apache.hadoop.mapred.TextInputFormat.getRecordReader(TextInputFormat.java:67) >> >> at >> org.apache.spark.rdd.HadoopRDD$$anon$1.<init>(HadoopRDD.scala:239) >> >> at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:216) >> >> at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:101) >> >> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300) >> >> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) >> >> at >> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) >> >> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300) >> >> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) >> >> at >> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) >> >> 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) >> >> >> >> 15/12/11 17:12:08 ERROR TaskSetManager: Task 9 in stage 8.0 failed 4 >> times; aborting job >> >> org.apache.spark.SparkException: Job aborted due to stage failure: Task 9 >> in stage 8.0 failed 4 times, most recent failure: Lost task 9.3 in stage >> 8.0 (TID 547, 10.162.167.23): java.io.FileNotFoundException: File >> file:/root/2008.csv does not exist >> >> at >> org.apache.hadoop.fs.RawLocalFileSystem.deprecatedGetFileStatus(RawLocalFileSystem.java:511) >> >> at >> org.apache.hadoop.fs.RawLocalFileSystem.getFileLinkStatusInternal(RawLocalFileSystem.java:724) >> >> at >> org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:501) >> >> at >> org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:397) >> >> at >> org.apache.hadoop.fs.ChecksumFileSystem$ChecksumFSInputChecker.<init>(ChecksumFileSystem.java:137) >> >> at >> org.apache.hadoop.fs.ChecksumFileSystem.open(ChecksumFileSystem.java:339) >> >> at org.apache.hadoop.fs.FileSystem.open(FileSystem.java:764) >> >> at >> org.apache.hadoop.mapred.LineRecordReader.<init>(LineRecordReader.java:108) >> >> at >> org.apache.hadoop.mapred.TextInputFormat.getRecordReader(TextInputFormat.java:67) >> >> at >> org.apache.spark.rdd.HadoopRDD$$anon$1.<init>(HadoopRDD.scala:239) >> >> at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:216) >> >> at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:101) >> >> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300) >> >> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) >> >> at >> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) >> >> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300) >> >> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) >> >> at >> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) >> >> at org.apache.spark.scheduler.Task.run(Task.scala:88) >> >> at >> org.apache.spark.executor.Executor$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[org.apache.spark.scheduler.DAGScheduler.org] >> <https://urldefense.proofpoint.com/v2/url?u=http-3A__org.apache.spark.scheduler.DAGScheduler.org&d=CwMFaQ&c=XK1GVu0Y2HvWRiFNJ9Hesw&r=uIybaSSiVvR1Uni2EecKYCQDa6UHqV0QDbyaKNjHuMM&m=DrYQ-tpUMZyhNn2eTUcbxSrkZEun1MPFJ0GOpQDM_QY&s=UOpsCySW-Pmg6pcqzATD8m0RW5tv4SpkJcBc4tn27ug&e=> >> $apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1283) >> >> at >> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1271) >> >> at >> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1270) >> >> at >> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) >> >> at >> scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) >> >> at >> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1270) >> >> at >> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697) >> >> at >> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697) >> >> at scala.Option.foreach(Option.scala:236) >> >> at >> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697) >> >> at >> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1496) >> >> at >> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1458) >> >> at >> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1447) >> >> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) >> >> at >> org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567) >> >> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1824) >> >> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1837) >> >> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1850) >> >> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1921) >> >> at org.apache.spark.rdd.RDD.count(RDD.scala:1125) >> >> at >> $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:25) >> >> at >> $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:30) >> >> at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:32) >> >> at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:34) >> >> at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:36) >> >> at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:38) >> >> at $iwC$$iwC$$iwC$$iwC.<init>(<console>:40) >> >> at $iwC$$iwC$$iwC.<init>(<console>:42) >> >> at $iwC$$iwC.<init>(<console>:44) >> >> at $iwC.<init>(<console>:46) >> >> at <init>(<console>:48) >> >> at .<init>(<console>:52) >> >> at .<clinit>(<console>) >> >> at .<init>(<console>:7) >> >> at .<clinit>(<console>) >> >> at $print(<console>) >> >> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) >> >> at >> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) >> >> at >> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) >> >> at java.lang.reflect.Method.invoke(Method.java:606) >> >> at >> org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065) >> >> at >> org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1340) >> >> at >> org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840) >> >> at >> org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871) >> >> at >> org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819) >> >> at >> org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857) >> >> at >> org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902) >> >> at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814) >> >> at >> org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657) >> >> at >> org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665) >> >> at >> org.apache.spark.repl.SparkILoop.org[org.apache.spark.repl.SparkILoop.org] >> <https://urldefense.proofpoint.com/v2/url?u=http-3A__org.apache.spark.repl.SparkILoop.org&d=CwMFaQ&c=XK1GVu0Y2HvWRiFNJ9Hesw&r=uIybaSSiVvR1Uni2EecKYCQDa6UHqV0QDbyaKNjHuMM&m=DrYQ-tpUMZyhNn2eTUcbxSrkZEun1MPFJ0GOpQDM_QY&s=f5Ft3xWMAILo1b-3HzZThdEDDl3jO5JAh27ljFXmv_c&e=> >> $apache$spark$repl$SparkILoop$$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[org.apache.spark.repl.SparkILoop.org] >> <https://urldefense.proofpoint.com/v2/url?u=http-3A__org.apache.spark.repl.SparkILoop.org&d=CwMFaQ&c=XK1GVu0Y2HvWRiFNJ9Hesw&r=uIybaSSiVvR1Uni2EecKYCQDa6UHqV0QDbyaKNjHuMM&m=DrYQ-tpUMZyhNn2eTUcbxSrkZEun1MPFJ0GOpQDM_QY&s=f5Ft3xWMAILo1b-3HzZThdEDDl3jO5JAh27ljFXmv_c&e=> >> $apache$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:674) >> >> 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$.main(SparkSubmit.scala:120) >> >> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) >> >> Caused by: java.io.FileNotFoundException: File file:/root/2008.csv does >> not exist >> >> at >> org.apache.hadoop.fs.RawLocalFileSystem.deprecatedGetFileStatus(RawLocalFileSystem.java:511) >> >> at >> org.apache.hadoop.fs.RawLocalFileSystem.getFileLinkStatusInternal(RawLocalFileSystem.java:724) >> >> at >> org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:501) >> >> at >> org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:397) >> >> at >> org.apache.hadoop.fs.ChecksumFileSystem$ChecksumFSInputChecker.<init>(ChecksumFileSystem.java:137) >> >> at >> org.apache.hadoop.fs.ChecksumFileSystem.open(ChecksumFileSystem.java:339) >> >> at org.apache.hadoop.fs.FileSystem.open(FileSystem.java:764) >> >> at >> org.apache.hadoop.mapred.LineRecordReader.<init>(LineRecordReader.java:108) >> >> at >> org.apache.hadoop.mapred.TextInputFormat.getRecordReader(TextInputFormat.java:67) >> >> at >> org.apache.spark.rdd.HadoopRDD$$anon$1.<init>(HadoopRDD.scala:239) >> >> at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:216) >> >> at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:101) >> >> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300) >> >> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) >> >> at >> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) >> >> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300) >> >> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) >> >> at >> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) >> >> at org.apache.spark.scheduler.Task.run(Task.scala:88) >> >> at >> org.apache.spark.executor.Executor$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) >> >> >> >> Confidentiality Notice:: This email, including attachments, may include >> non-public, proprietary, confidential or legally privileged information. If >> you are not an intended recipient or an authorized agent of an intended >> recipient, you are hereby notified that any dissemination, distribution or >> copying of the information contained in or transmitted with this e-mail is >> unauthorized and strictly prohibited. If you have received this email in >> error, please notify the sender by replying to this message and permanently >> delete this e-mail, its attachments, and any copies of it immediately. You >> should not retain, copy or use this e-mail or any attachment for any >> purpose, nor disclose all or any part of the contents to any other person. >> Thank you. >> >> >> >> -- >> >> Regards, >> >> Vijay Gharge >> >> >> Confidentiality Notice:: This email, including attachments, may include >> non-public, proprietary, confidential or legally privileged information. If >> you are not an intended recipient or an authorized agent of an intended >> recipient, you are hereby notified that any dissemination, distribution or >> copying of the information contained in or transmitted with this e-mail is >> unauthorized and strictly prohibited. If you have received this email in >> error, please notify the sender by replying to this message and permanently >> delete this e-mail, its attachments, and any copies of it immediately. You >> should not retain, copy or use this e-mail or any attachment for any >> purpose, nor disclose all or any part of the contents to any other person. >> Thank you. >> > > > -- > Regards, > Vijay Gharge > > > >
