This is a good question for the development community to provide
feedback on, so I'll cross-post your question over to that list.
On 9/19/11 2:30 PM, Roman Valls wrote:
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 could speed things up, as opposed to having individual
galaxy instances per user in a cluster (as per IT policies):
Thanks in advance !
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