borg delete and borg prune do a quick and dirty archive deletion,
just removing the archives directory entry for them.
--undelete-archives can still find the archive metadata objects
by completely scanning the repository and re-create missing
archives directory entries.
but only until borg compact would remove all unused data.
if only the manifest is missing or corrupted, do not run that
scan, it is not required for the manifest anymore.
if the manifest file is missing, check generated *.1 *.2 ... archives although an entry for the correct name and id was already
present. BUG!
this is because if the manifest is lost, that does not imply
anymore that the complete archives directory is also lost, as it
did in borg 1.x.
Also improved log messages a bit.
not for check and compact, these need an exclusive lock.
to try parallel repo access on same machine, same user,
one needs to use a non-locking cache implementation:
export BORG_CACHE_IMPL=adhoc
this is slow due the missing files cache in that implementation,
but unproblematic because no caches/indexes are persisted.
old borg just didn't commit the transaction and
thus caused a transaction rollback if not in
repair mode.
we can't do that anymore, thus we must avoid
modifying the repo if not in repair mode.
previously, borg always read all archives entries, modified the
list in memory, wrote back to the repository (similar as borg 1.x
did).
now borg works directly with archives/* in the borgstore.
otherwise the lock might become stale and could get
killed by any other borg process.
note: ThreadRunner class written by PyCharm AI and
only needed small enhancements. nice.
reuse_chunk is the complement of add_chunk for already existing chunks.
It doesn't do refcounting anymore.
.seen_chunk does not return the refcount anymore, but just whether the chunk exists.
If we add a new chunk, it immediately sets its refcount to MAX_VALUE, so
there is no difference anymore between previously existing chunks and new
chunks added. This makes the stats even more useless, but we have less complexity.
