Add the options
- pack.preserveOldPacks
- pack.prunePreserved
This allows to configure in git config if old packs should be preserved
during gc and pruned during the next gc.
The original implementation in 91132bb0 only allows to set these options
using the API.
Change-Id: I5b23ab4f317d12f5ccd234401419913e8263cc9a
When running a GC.repack() against a repository with over one
thousands of refs/heads and tens of millions of ObjectIds,
the calculation of all bitmaps associated with all the refs
would result in an unreasonable big file that would take up to
several hours to compute.
Test scenario: repo with 2500 heads / 10M obj Intel Xeon E5-2680 2.5GHz
Before this change: 20 mins
After this change and 2300 heads excluded: 10 mins (90s for bitmap)
Having such a large bitmap file is also slow in the runtime
processing and have negligible or even negative benefits, because
the time lost in reading and decompressing the bitmap in memory
would not be compensated by the time saved by using it.
It is key to preserve the bitmaps for those refs that are mostly
used in clone/fetch and give the ability to exlude some refs
prefixes that are known to be less frequently accessed, even
though they may actually be actively written.
Example: Gerrit sandbox branches may even be actively
used and selected automatically because its commits are very
recent, however, they may bloat the bitmap, making it ineffective.
A mono-repo with tens of thousands of developers may have
a relatively small number of active branches where the
CI/CD jobs are continuously fetching/cloning the code. However,
because Gerrit allows the use of sandbox branches, the
total number of refs/heads may be even tens to hundred
thousands.
Change-Id: I466dcde69fa008e7f7785735c977f6e150e3b644
Signed-off-by: Luca Milanesio <luca.milanesio@gmail.com>
The search for reuse phase for *all* the objects scans *all*
the packfiles, looking for the best candidate to serve back to the
client.
This can lead to an expensive operation when the number of
packfiles and objects is high.
Add parameter "pack.searchForReuseTimeout" to limit the time spent
on this search.
Change-Id: I54f5cddb6796fdc93ad9585c2ab4b44854fa6c48
Matthias Sohn