During the development of #1524 I discovered that the Google Cloud
Storage backend did not yet use the HTTP transport, so things such as
bandwidth limiting did not work. This commit does the necessary magic to
make the GS library use our HTTP transport.
A user discovered[1] that when the backup finishes during the upload of
an intermediate index, the upload is cancelled and the index never fully
saved, but the snapshot is saved and the backup finalizes without an
error. This lead to a situation where a snapshot references data that is
contained in the repo, but not referenced in any index, leading to
strange error messages.
This commit uses a dedicated context to signal the intermediate index
uploading routine to terminate after the last index has been uploaded.
This way, an upload running when the backup finishes is completed before
the routine terminates and the snapshot is saved.
[1] https://forum.restic.net/t/error-loading-tree-check-prune-and-forget-gives-error-b2-backend/406
The logging in these functions double the time they take to execute.
However, it is only really useful on failures, which are better
reported by the calling functions.
benchmark old ns/op new ns/op delta
BenchmarkMasterIndexLookupSingleIndex-6 897 395 -55.96%
BenchmarkMasterIndexLookupMultipleIndex-6 2001 1090 -45.53%
BenchmarkMasterIndexLookupSingleIndexUnknown-6 492 215 -56.30%
BenchmarkMasterIndexLookupMultipleIndexUnknown-6 1649 912 -44.69%
benchmark old allocs new allocs delta
BenchmarkMasterIndexLookupSingleIndex-6 9 1 -88.89%
BenchmarkMasterIndexLookupMultipleIndex-6 19 1 -94.74%
BenchmarkMasterIndexLookupSingleIndexUnknown-6 6 0 -100.00%
BenchmarkMasterIndexLookupMultipleIndexUnknown-6 16 0 -100.00%
benchmark old bytes new bytes delta
BenchmarkMasterIndexLookupSingleIndex-6 160 96 -40.00%
BenchmarkMasterIndexLookupMultipleIndex-6 240 96 -60.00%
BenchmarkMasterIndexLookupSingleIndexUnknown-6 48 0 -100.00%
BenchmarkMasterIndexLookupMultipleIndexUnknown-6 128 0 -100.00%
Index.Has() is a faster then Index.Lookup() for checking if a blob exists
in the index. As the returned data is never used, this avoids a ton
of allocations.
When looking up a blob in the master index, with several
indexes present in the master index, a significant amount of time
is spent generating errors for each failed lookup. However, these
errors are often used to check if a blob is present, but the contents
are not inspected making the overhead of the error not useful.
Instead, change Index.Lookup (and Index.LookupSize) to instead return
a boolean denoting if the blob was found instead of an error. Also change
all the calls to these functions to handle the new function signature.
benchmark old ns/op new ns/op delta
BenchmarkMasterIndexLookupSingleIndex-6 820 897 +9.39%
BenchmarkMasterIndexLookupMultipleIndex-6 12821 2001 -84.39%
BenchmarkMasterIndexLookupSingleIndexUnknown-6 5378 492 -90.85%
BenchmarkMasterIndexLookupMultipleIndexUnknown-6 17026 1649 -90.31%
benchmark old allocs new allocs delta
BenchmarkMasterIndexLookupSingleIndex-6 9 9 +0.00%
BenchmarkMasterIndexLookupMultipleIndex-6 59 19 -67.80%
BenchmarkMasterIndexLookupSingleIndexUnknown-6 22 6 -72.73%
BenchmarkMasterIndexLookupMultipleIndexUnknown-6 72 16 -77.78%
benchmark old bytes new bytes delta
BenchmarkMasterIndexLookupSingleIndex-6 160 160 +0.00%
BenchmarkMasterIndexLookupMultipleIndex-6 3200 240 -92.50%
BenchmarkMasterIndexLookupSingleIndexUnknown-6 1232 48 -96.10%
BenchmarkMasterIndexLookupMultipleIndexUnknown-6 4272 128 -97.00%
When setting up the index used for benchmarking, use math/rand instead of
crypto/rand since the generated ids don't need to be evenly distributed,
and not be secure against guessing. As such, use a different random id
function (only available during tests) that uses math/rand instead.
Load pack header length and 15 header entries with single backend
request. This eliminates separate header Load() request for most pack
files and significantly improves index.New() performance.
Signed-off-by: Igor Fedorenko <igor@ifedorenko.com>
This reduces the chance of duplicate blobs, otherwise the tests fail
(make the contents of a blob depend on a pseudo-random number instead of
the size, sizes may be duplicate).
