Atlassian Crucible very slow on large repository
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Mitch Lindgren
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Published on 2010-10-04T22:11:37Z
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2011/03/12
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Hi everyone,
My company has been running a trial of Atlassian Crucible for some months now. For repositories where it's working properly, users have given very positive feedback about the tool. The problem I'm having is that we have several different projects, each with its own repository, and some of those repositories are very large. One repository in particular has a large number of branches and probably around 9,000 files per branch. Browsing that repository in Crucible is extremely slow.
Crucible is running on a CentOS VM. The VM has 4GB of RAM, and I've set Crucible's maximum at 3GB, of which it is currently using 2GB. I've brought this up in a support ticket with Atlassian, and they suggested the following:
In particular because you have a rather large SVN repository you will likely find that Fisheye will be creating a large index file on disk. To help improve performance a few things you can try are:
- Increasing the available memory available to Fisheye (see the document above).
- Migrating to an external database: confluence.atlassian.com/display/FISHEYE/Migrating+to+an+External+Database
- Excluding files and directories from your index that aren't needed: confluence.atlassian.com/display/FISHEYE/Allow+(Process)
(Sorry for not hyperlinking; don't have the rep.) I've tried all of these things to an extent, but so far none have helped greatly. I was originally running Crucible on a Windows box with 2GB of RAM using the built in HSQL DB. Moving to MySQL on CentOS saw a performance increase for some repositories, and made Crucible much more stable, but did not seem to help much with our biggest repository. There are only so many files/branches I can exclude from indexing while maintaining the tool's usefulness.
That being the case, does anyone have any tips on how to speed up Crucible on large repositories, without investing in insanely powerful hardware?
Thanks!
Edit: To clarify, since I didn't mention it explicitly above, I am using FishEye.
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