This gets rid of quite a lot of ugly hacks around json generation.
I doubt that any real-world json parsers can parse incomplete objects, so
while it's not as nice to need to wait for the complete object, especially
for commands like `git annex info` that take a while, it doesn't seem worth
the added complexity.
This also causes the order of fields within the json objects to be
reordered. Since any real json parser shouldn't care, the only possible
problem would be with ad-hoc parsers of the old json output.
This makes -Jn work with --json and --quiet, where before
setting -Jn disabled those options.
Concurrent json output is currently a mess though since threads output
chunks over top of one-another.
Simplify Solver's task by requesting version 2.2.4.1 of the persistent
package instead of just providing the persistent < 2.5 constraint.
With only the persistent < 2.5 constraint, and with --flags=s3\ webapp
and --max-backjumps=10000, CI timed out after two hours with Solver
still trying to find a solution.
This is a follow-up to 18e458db, since there's been a regression in the
situation between 6.20160619 and 6.20160808, probably simply because
Hackage is a moving target.
Use nextRandom to generate the random UUID, rather than using randomIO.
This gets fixes for the following two bugs in the uuid library.
However, this did not impact git-annex much, so a hard depedency has
not been added on uuid-1.3.12.
https://github.com/aslatter/uuid/issues/15
"v4 UUIDs are not that random"
This doesn't greatly affect git-annex, because even with only
2^64 possible UUIDs, the chance that two git-annex repositories
that are clones of the same git repo get the same UUID is miniscule.
And, git-annex generates only one UUID per run, so preducting
subsequent UUIDs is not a problem.
https://github.com/aslatter/uuid/issues/16
"Remove Random instance for UUID, or mark it as deprecated"
git-annex was using that instance; let's stop before it gets
deprecated or removed.
metadata --json output format has changed, adding a inner json object
named "fields" which contains only the fields and their values.
This should be easier to parse than the old format, which mixed up
metadata fields with other keys in the json object.
Any consumers of the old format will need to be updated.
This adds a dependency on unordered-containers for parsing MetaData
from JSON, but it's a free dependency; aeson pulls in that library.
This actually runs faster than building the man pages from the makefile
did. But the main purpose is to let Setup.hs import Build.Mans and so not
need the makefile.
The tarball on hackage will include only the files needed for cabal install;
it is NOT the full git-annex source tree. While it's totally obnoxious that
cabal files need every file listed out when basic wildcard support could
avoid hundreds of lines, and have to be maintained when files are added,
this does get the tarball size back down to 1 mb.
This also stops stack from complaining that it found modules not listed in
the cabal file.
debian/changelog, debian/NEWS, debian/copyright: Converted to symlinks
to CHANGELOG, NEWS, and COPYRIGHT, which used to symlink to these instead.
This avoids needing to include debian/ in the hackage tarball.
Setup.hs: Build man pages at install time using make and mdwn2man.
If it fails, which it probably will on windows, just skip installing
them.
According to https://github.com/redneb/disk-free-space/issues/3 ,
disk-free-space should be at least as portable as my homegrown code was.
One change I noticed is, getDiskSize was not implemented for windows
in the old code, and should work now.
* Removed the webapp-secure build flag, rolling it into the webapp build
flag.
* Removed the quvi and tahoe build flags, which only adds aeson to
the core dependencies.
* Removed the feed build flag, which only adds feed to the core
dependencies.
Build flags have cost in both code complexity and also make Setup configure
have to work harder to find a usable set of build flags when some
dependencies are missing.
The benchmark shows that the database access is quite fast indeed!
And, it scales linearly to the number of keys, with one exception,
getAssociatedKey.
Based on this benchmark, I don't think I need worry about optimising
for cases where all files are locked and the database is mostly empty.
In those cases, database access will be misses, and according to this
benchmark, should add only 50 milliseconds to runtime.
(NB: There may be some overhead to getting the database opened and locking
the handle that this benchmark doesn't see.)
joey@darkstar:~/src/git-annex>./git-annex benchmark
setting up database with 1000
setting up database with 10000
benchmarking keys database/getAssociatedFiles from 1000 (hit)
time 62.77 μs (62.70 μs .. 62.85 μs)
1.000 R² (1.000 R² .. 1.000 R²)
mean 62.81 μs (62.76 μs .. 62.88 μs)
std dev 201.6 ns (157.5 ns .. 259.5 ns)
benchmarking keys database/getAssociatedFiles from 1000 (miss)
time 50.02 μs (49.97 μs .. 50.07 μs)
1.000 R² (1.000 R² .. 1.000 R²)
mean 50.09 μs (50.04 μs .. 50.17 μs)
std dev 206.7 ns (133.8 ns .. 295.3 ns)
benchmarking keys database/getAssociatedKey from 1000 (hit)
time 211.2 μs (210.5 μs .. 212.3 μs)
1.000 R² (0.999 R² .. 1.000 R²)
mean 211.0 μs (210.7 μs .. 212.0 μs)
std dev 1.685 μs (334.4 ns .. 3.517 μs)
benchmarking keys database/getAssociatedKey from 1000 (miss)
time 173.5 μs (172.7 μs .. 174.2 μs)
1.000 R² (0.999 R² .. 1.000 R²)
mean 173.7 μs (173.0 μs .. 175.5 μs)
std dev 3.833 μs (1.858 μs .. 6.617 μs)
variance introduced by outliers: 16% (moderately inflated)
benchmarking keys database/getAssociatedFiles from 10000 (hit)
time 64.01 μs (63.84 μs .. 64.18 μs)
1.000 R² (1.000 R² .. 1.000 R²)
mean 64.85 μs (64.34 μs .. 66.02 μs)
std dev 2.433 μs (547.6 ns .. 4.652 μs)
variance introduced by outliers: 40% (moderately inflated)
benchmarking keys database/getAssociatedFiles from 10000 (miss)
time 50.33 μs (50.28 μs .. 50.39 μs)
1.000 R² (1.000 R² .. 1.000 R²)
mean 50.32 μs (50.26 μs .. 50.38 μs)
std dev 202.7 ns (167.6 ns .. 252.0 ns)
benchmarking keys database/getAssociatedKey from 10000 (hit)
time 1.142 ms (1.139 ms .. 1.146 ms)
1.000 R² (1.000 R² .. 1.000 R²)
mean 1.142 ms (1.140 ms .. 1.144 ms)
std dev 7.142 μs (4.994 μs .. 10.98 μs)
benchmarking keys database/getAssociatedKey from 10000 (miss)
time 1.094 ms (1.092 ms .. 1.096 ms)
1.000 R² (1.000 R² .. 1.000 R²)
mean 1.095 ms (1.095 ms .. 1.097 ms)
std dev 4.277 μs (2.591 μs .. 7.228 μs)
Make these features solely dependent on the OS being built on.
This lets stack build on windows w/o XMPP, on OSX w/o DBUS,
and on Linux with everything.