One change from 2.0.x to 2.1.x is support for jar indexing. After the
upgrade a one-time initial indexing of exiting jars runs in
the background which may impose temporary higher memory requirements than
usual. It is possible that your server is still indexing jars in the
background (you should be able to see indication for this in the log), and
memory consumption should become lower when this is completed.

In normal running condition the numbers you mentioned should suffice to a
typical instance, but actual memory requirements vary depending on the
amount of concurrent access you have and, if using many wildcard searches,
also the repository size (influencing Lucene's wildcard searches). If you do
not have high level of concurrent deployments you can edit
$ARTIFACTORY_HOME/data/workspaces/default/workspace.xml and change
'extractorPoolSize' to a lower value.

Also, expect lower overall memory requirements in 2.1.4 as we made
improvements in this area in this version.

HTH,

Yoav

On Tue, Jan 5, 2010 at 4:29 PM, jshap999
<[email protected]>wrote:

>
> We just upgraded from 2.0.4 to 2.1.3.  We bumped the memory from 128 to 256
> to handle some out of memory errors.  Unfortunatly they have started again.
> So what is the recommended memory settings for 2.1.3?
> --
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>
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