Hi,

In fact, /dev/sdb is /dev/xvdb. It seems that there is no problem about
double mount. However, there is no information about /mnt2. You should
check whether /dev/sdc is well mounted or not.
The reply of Micheal is good solution about this type of problem. You can
check his site.

Cheers
Gen


On Sun, Feb 8, 2015 at 5:53 PM, ey-chih chow <eyc...@hotmail.com> wrote:

> Gen,
>
> Thanks for your information.  The content of /etc/fstab at the worker node
> (r3.large) is:
>
> #
> LABEL=/     /           ext4    defaults,noatime  1   1
> tmpfs       /dev/shm    tmpfs   defaults        0   0
> devpts      /dev/pts    devpts  gid=5,mode=620  0   0
> sysfs       /sys        sysfs   defaults        0   0
> proc        /proc       proc    defaults        0   0
> /dev/sdb        /mnt    auto
>  defaults,noatime,nodiratime,comment=cloudconfig 0       0
> /dev/sdc        /mnt2   auto
>  defaults,noatime,nodiratime,comment=cloudconfig 0       0
>
> There is no entry of /dev/xvdb.
>
>  Ey-Chih Chow
>
> ------------------------------
> Date: Sun, 8 Feb 2015 12:09:37 +0100
> Subject: Re: no space left at worker node
> From: gen.tan...@gmail.com
> To: eyc...@hotmail.com
> CC: user@spark.apache.org
>
>
> Hi,
>
> I fact, I met this problem before. it is a bug of AWS. Which type of
> machine do you use?
>
> If I guess well, you can check the file /etc/fstab. There would be a
> double mount of /dev/xvdb.
> If yes, you should
> 1. stop hdfs
> 2. umount /dev/xvdb at /
> 3. restart hdfs
>
> Hope this could be helpful.
> Cheers
> Gen
>
>
>
> On Sun, Feb 8, 2015 at 8:16 AM, ey-chih chow <eyc...@hotmail.com> wrote:
>
> Hi,
>
> I submitted a spark job to an ec2 cluster, using spark-submit.  At a worker
> node, there is an exception of 'no space left on device' as follows.
>
> ==========================================
> 15/02/08 01:53:38 ERROR logging.FileAppender: Error writing stream to file
> /root/spark/work/app-20150208014557-0003/0/stdout
> java.io.IOException: No space left on device
>         at java.io.FileOutputStream.writeBytes(Native Method)
>         at java.io.FileOutputStream.write(FileOutputStream.java:345)
>         at
>
> org.apache.spark.util.logging.FileAppender.appendToFile(FileAppender.scala:92)
>         at
>
> org.apache.spark.util.logging.FileAppender.appendStreamToFile(FileAppender.scala:72)
>         at
>
> org.apache.spark.util.logging.FileAppender$$anon$1$$anonfun$run$1.apply$mcV$sp(FileAppender.scala:39)
>         at
>
> org.apache.spark.util.logging.FileAppender$$anon$1$$anonfun$run$1.apply(FileAppender.scala:39)
>         at
>
> org.apache.spark.util.logging.FileAppender$$anon$1$$anonfun$run$1.apply(FileAppender.scala:39)
>         at
> org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1311)
>         at
>
> org.apache.spark.util.logging.FileAppender$$anon$1.run(FileAppender.scala:38)
> ===========================================
>
> The command df showed the following information at the worker node:
>
> Filesystem           1K-blocks      Used Available Use% Mounted on
> /dev/xvda1             8256920   8256456         0 100% /
> tmpfs                  7752012         0   7752012   0% /dev/shm
> /dev/xvdb             30963708   1729652  27661192   6% /mnt
>
> Does anybody know how to fix this?  Thanks.
>
>
> Ey-Chih Chow
>
>
>
> --
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