That just makes sense, doesn't it? The only place will be driver. If not, the executor will be having contention by whom should create the directory in this case. Only the coordinator (driver in this case) is the best place for doing it. Yong
From: math...@closetwork.org Date: Wed, 25 May 2016 18:23:02 +0000 Subject: Re: Not able to write output to local filsystem from Standalone mode. To: ja...@japila.pl CC: stutiawas...@hcl.com; user@spark.apache.org Experience. I don't use Mesos or Yarn or Hadoop, so I don't know. On Wed, May 25, 2016 at 2:51 AM Jacek Laskowski <ja...@japila.pl> wrote: Hi Mathieu, Thanks a lot for the answer! I did *not* know it's the driver to create the directory. You said "standalone mode", is this the case for the other modes - yarn and mesos? p.s. Did you find it in the code or...just experienced before? #curious Pozdrawiam, Jacek Laskowski ---- https://medium.com/@jaceklaskowski/ Mastering Apache Spark http://bit.ly/mastering-apache-spark Follow me at https://twitter.com/jaceklaskowski On Tue, May 24, 2016 at 4:04 PM, Mathieu Longtin <math...@closetwork.org> wrote: > In standalone mode, executor assume they have access to a shared file > system. The driver creates the directory and the executor write files, so > the executors end up not writing anything since there is no local directory. > > On Tue, May 24, 2016 at 8:01 AM Stuti Awasthi <stutiawas...@hcl.com> wrote: >> >> hi Jacek, >> >> Parent directory already present, its my home directory. Im using Linux >> (Redhat) machine 64 bit. >> Also I noticed that "test1" folder is created in my master with >> subdirectory as "_temporary" which is empty. but on slaves, no such >> directory is created under /home/stuti. >> >> Thanks >> Stuti >> ________________________________ >> From: Jacek Laskowski [ja...@japila.pl] >> Sent: Tuesday, May 24, 2016 5:27 PM >> To: Stuti Awasthi >> Cc: user >> Subject: Re: Not able to write output to local filsystem from Standalone >> mode. >> >> Hi, >> >> What happens when you create the parent directory /home/stuti? I think the >> failure is due to missing parent directories. What's the OS? >> >> Jacek >> >> On 24 May 2016 11:27 a.m., "Stuti Awasthi" <stutiawas...@hcl.com> wrote: >> >> Hi All, >> >> I have 3 nodes Spark 1.6 Standalone mode cluster with 1 Master and 2 >> Slaves. Also Im not having Hadoop as filesystem . Now, Im able to launch >> shell , read the input file from local filesystem and perform transformation >> successfully. When I try to write my output in local filesystem path then I >> receive below error . >> >> >> >> I tried to search on web and found similar Jira : >> https://issues.apache.org/jira/browse/SPARK-2984 . Even though it shows >> resolved for Spark 1.3+ but already people have posted the same issue still >> persists in latest versions. >> >> >> >> ERROR >> >> scala> data.saveAsTextFile("/home/stuti/test1") >> >> 16/05/24 05:03:42 WARN TaskSetManager: Lost task 1.0 in stage 1.0 (TID 2, >> server1): java.io.IOException: The temporary job-output directory >> file:/home/stuti/test1/_temporary doesn't exist! >> >> at >> org.apache.hadoop.mapred.FileOutputCommitter.getWorkPath(FileOutputCommitter.java:250) >> >> at >> org.apache.hadoop.mapred.FileOutputFormat.getTaskOutputPath(FileOutputFormat.java:244) >> >> at >> org.apache.hadoop.mapred.TextOutputFormat.getRecordWriter(TextOutputFormat.java:116) >> >> at >> org.apache.spark.SparkHadoopWriter.open(SparkHadoopWriter.scala:91) >> >> at >> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1$$anonfun$13.apply(PairRDDFunctions.scala:1193) >> >> at >> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1$$anonfun$13.apply(PairRDDFunctions.scala:1185) >> >> at >> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) >> >> at org.apache.spark.scheduler.Task.run(Task.scala:89) >> >> at >> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213) >> >> 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) >> >> >> >> What is the best way to resolve this issue if suppose I don’t want to have >> Hadoop installed OR is it mandatory to have Hadoop to write the output from >> Standalone cluster mode. >> >> >> >> Please suggest. >> >> >> >> Thanks &Regards >> >> Stuti Awasthi >> >> >> >> >> >> ::DISCLAIMER:: >> >> ---------------------------------------------------------------------------------------------------------------------------------------------------- >> >> The contents of this e-mail and any attachment(s) are confidential and >> intended for the named recipient(s) only. >> E-mail transmission is not guaranteed to be secure or error-free as >> information could be intercepted, corrupted, >> lost, destroyed, arrive late or incomplete, or may contain viruses in >> transmission. 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