Hi Roman,
This is a good question for the development community to provide
feedback on, so I'll cross-post your question over to that list.
Best,
Jen
Galaxy team
On 9/19/11 2:30 PM, Roman Valls wrote:
Hello,
Today I was routinely adding a 27GB Illumina lane on my galaxy instance
running on a cluster node. Just the regular cloned-from-hg type of
instance with set_metadata_externally, no more tuning.
It took more than 10 minutes to have the dataset imported into a data
library via the filesystem path upload method... not copying it into
galaxy, just "linking".
galaxy.jobs INFO 2011-09-19 18:05:08,641 job 120 dispatched
(...)
galaxy.jobs DEBUG 2011-09-19 18:16:52,822 job 120 ended
galaxy.datatypes.metadata DEBUG 2011-09-19 18:16:52,824 Cleaning up
external metadata files
Since I cannot add datasets to libraries in usegalaxy.org and compare, I
was wondering if someone can state an approximated average time *for a
production* galaxy installation to do that operation.
I would like to have some empirical number to show on how a production
deployment[1] could speed things up, as opposed to having individual
galaxy instances per user in a cluster (as per IT policies):
http://blogs.nopcode.org/brainstorm/2011/08/22/galaxy-on-uppmax-simplified/
Thanks in advance !
Roman
[1] http://usegalaxy.org/production
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Jennifer Jackson
http://usegalaxy.org
http://galaxyproject.org/Support
___________________________________________________________
The Galaxy User list should be used for the discussion of
Galaxy analysis and other features on the public server
at usegalaxy.org. Please keep all replies on the list by
using "reply all" in your mail client. For discussion of
local Galaxy instances and the Galaxy source code, please
use the Galaxy Development list:
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