Hi Karl, 
Hmm, not having Galaxy accessible is definitely not a step in the right direction. 
Being signed into command line is not an issue; something else must have gone wrong. To start, please take a look at the (bottom of) galaxy log file (and email the relevant part if you don't see how to fix it immediately); the file is saved as /mnt/galaxyTools/galaxy-central/paster.log

As far as the location of the files in data libraries, they should be stored in the same location as history datasets, namely /mnt/galaxyData/files/000/dataset_<ID>.dat
Because all of the datasets are named simply based on the database ID, it won't necessarily be obvious which file to get without doing some (python) coding or doing some guess work. If you know how large your files is, you can easily narrow your choices down by listing the contents of the given directory and sorting it by size (using command ls -lS), then pulling out the file(s) that you want. If several files are of approx. the same size, open them up and see which one you want.

Good luck and let us know if you have any more trouble,
Enis


On Mon, Mar 28, 2011 at 3:35 PM, <karlerhard@berkeley.edu> wrote:

Hello Enis,

Thanks for the quick response and suggestions.  I actually did have a job
running while I tried to download a file the first time, that's the first
time it gave the error message.  But the jobs have long since finished and
it's still giving the error message.

I've been able to edit the universe_wsgi.ini file to "debug = False", but
now I'm getting an "Internal server error" when I try to reload the galaxy
instance.  Should I be signed out at the command-line to reload galaxy
from a browser?  Forgive my simplicity, I'm really not at all command-line
savvy.

Also, another extremely basic problem I have is I just don't know where
the data library that holds my files is located.  Any help would be
greatly appreciated.

best,

karl


> Hi Karl,
> As you see from the error message, you seem to be getting this error
> because
> the machine is running out of memory. This can in part be caused by a
> configuration option that might be set in Galaxy's universe_wsgi.ini file
> (see below).
> Did you have any jobs running while trying to download the file? Waiting
> until those finish might free up some memory.
>
> A thing to try is to connect to the instance, edit Galaxy's
> universe_wsgi.ini file to se debug = False, restart Galaxy and try
> again. Are you familiar with that at all?
> The basic steps are as follows:
> [local]$ ssh -i <path to your AWS private key file> ubuntu@<instance
> public
> IP>
> [ec2]$ sudo su galaxy
> [ec2]$ cd /mnt/galaxyTools/galaxy-central
> [ec2]$ vi universe_wsgi.ini  -- edit file (around line 226) to set: debug
> =
> False
> [ec2]$ sh run.sh --stop-daemon
> [ec2]$ sh run.sh --daemon
>
> Yet another option is to connect the instance in the same way, look
> through
> the data library on the file system and manually copy the file out of the
> instance. You can use the following command to copy the file to your local
> instance:
> [local]$ scp -i <path to your AWS private key file> ubuntu@<instance
> public
> IP>:/mnt/galaxyData/files/000/dataset_<ID>.dat .
>
> Let us know if none of this works,
> Enis
>
>
> On Mon, Mar 28, 2011 at 12:02 PM, <karlerhard@berkeley.edu> wrote:
>
>>
>> Hello,
>>
>> I'm trying to download the library files I processed on my galaxy cloud
>> instance, but I'm getting an error.  At the top (on the right panel) it
>> says "Server Error" and then lists the URL where the data should be and
>> then lists:
>>
>> Module paste.exceptions.errormiddleware:143 in __call__
>> <<          try:
>>                __traceback_supplement__ = Supplement, self, environ
>>                app_iter = self.application(environ, start_response)
>>                return self.make_catching_iter(app_iter, environ)
>>            except:>>  app_iter = self.application(environ,
>> start_response)
>> Module paste.debug.prints:98 in __call__
>> <<          try:
>>                status, headers, body = wsgilib.intercept_output(
>>                    environ, self.app)
>>                if status is None:
>>                    # Some error occurred>>  environ, self.app)
>> Module paste.wsgilib:544 in intercept_output
>> <<      try:
>>            for item in app_iter:
>>                output.write(item)
>>        finally:
>>            if hasattr(app_iter, 'close'):>>  output.write(item)
>> MemoryError: out of memory
>>
>>
>>
>> Is there some easy fix to this?  I'd really like to get that data off of
>> the cloud instance and be able to terminate it.
>>
>> thanks,
>>
>> karl
>>
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