Makes sense. "/" is where /tmp would be. However, 230G should be plenty of
space. If you have INFO logging turned on (set in
$SPARK_HOME/conf/log4j.properties), you'll see messages about saving data
to disk that will list sizes. The web console also has some summary
information about this.

dean

Dean Wampler, Ph.D.
Author: Programming Scala, 2nd Edition
<http://shop.oreilly.com/product/0636920033073.do> (O'Reilly)
Typesafe <http://typesafe.com>
@deanwampler <http://twitter.com/deanwampler>
http://polyglotprogramming.com

On Wed, Apr 29, 2015 at 6:25 AM, selim namsi <selim.na...@gmail.com> wrote:

> This is the output of df -h so as you can see I'm using only one disk
> mounted on /
>
> df -h
> Filesystem      Size  Used Avail Use% Mounted on
> /dev/sda8       276G   34G  229G  13% /none            4.0K     0  4.0K   0% 
> /sys/fs/cgroup
> udev            7.8G  4.0K  7.8G   1% /dev
> tmpfs           1.6G  1.4M  1.6G   1% /runnone            5.0M     0  5.0M   
> 0% /run/locknone            7.8G   37M  7.8G   1% /run/shmnone            
> 100M   40K  100M   1% /run/user
> /dev/sda1       496M   55M  442M  11% /boot/efi
>
> Also when running the program, I noticed that the Used% disk space related
> to the partition mounted on "/" was growing very fast
>
> On Wed, Apr 29, 2015 at 12:19 PM Anshul Singhle <ans...@betaglide.com>
> wrote:
>
>> Do you have multiple disks? Maybe your work directory is not in the right
>> disk?
>>
>> On Wed, Apr 29, 2015 at 4:43 PM, Selim Namsi <selim.na...@gmail.com>
>> wrote:
>>
>>> Hi,
>>>
>>> I'm using spark (1.3.1) MLlib to run random forest algorithm on tfidf
>>> output,the training data is a file containing 156060 (size 8.1M).
>>>
>>> The problem is that when trying to presist a partition into memory and
>>> there
>>> is not enought memory, the partition is persisted on disk and despite
>>> Having
>>> 229G of free disk space, I got " No space left on device"..
>>>
>>> This is how I'm running the program :
>>>
>>> ./spark-submit --class com.custom.sentimentAnalysis.MainPipeline --master
>>> local[2] --driver-memory 5g ml_pipeline.jar labeledTrainData.tsv
>>> testData.tsv
>>>
>>> And this is a part of the log:
>>>
>>>
>>>
>>> If you need more informations, please let me know.
>>> Thanks
>>>
>>>
>>>
>>> --
>>> View this message in context:
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