transaction: windows workaround for missing line iteration support
The mixedfilemodewrapper doesn't support line iteration, so just read
the whole file in one go.
Differential Revision: https://phab.mercurial-scm.org/D9532
sidedata: send the correct revision data for wireproto v2
When no sidedata is present, rawdata() and revision() are the same. But
as soon as sidedata is present, the way it is currently stored will
change the rawdata and that is not desired here, so switch to the
correct data accessor.
Differential Revision: https://phab.mercurial-scm.org/D9445
debugdiscovery: move various computation earlier
We are about to add more data to debug discovery (eg: data bout the initial
undecided set, number of roundtrip, etc). So we start by cleaning up the code by
spliting some computation and some display related preparation.
Differential Revision: https://phab.mercurial-scm.org/D9524
debugdiscovery: clarify internal key name in debugobsolete
They were probably clear when they got added initially but with more key around,
they gain to be clearer.
Differential Revision: https://phab.mercurial-scm.org/D9528
copies-rust: extract the processing of a ChangedFiles in its own function
This is a reasonably independent piece of code that we can extract in its own
function. This extraction will be very useful for the next changeset, where we
will change the iteration order (but still do the same kind of processing).
Differential Revision: https://phab.mercurial-scm.org/D9421
copies-rust: move the parent token to an enum
We carry around information about which parent of a revision is been dealt
with. So far this was a `usize` but as we are about to pass it around to more
function it seems like a good idea to start cleaning this up and use a proper
enum.
Differential Revision: https://phab.mercurial-scm.org/D9420
copies-rust: parse the changed-file sidedata directly in rust
It does not make much sense to parse the data into python object using slow
python code to later turn them into rust object. We directly pass the binary
blob and use it directly in Rust.
Ideally we could directly read the sidedata in Rust, using a revlog in Rust.
However we do not have this ready to use yet.
This more direct approach provides a nice speedup over the board. Especially five
cases that we previously too slow to return in the previous changeset are not
able to finish.
Notably, we are now significantly faster than the Python version of this code in
all the meaningful cases.
I looked at the various cases that remains significantly slower then the filelog
version and they are currently 3 main source of slowness:
* The isancestor computation: even if we cache them, if the revs spawn over a
large amount of history the ancestry checking is still quite expensive. Using
a different approach more centered on the graph we are currently considering
might yield significant speed.
* Merging of the map from the two parents: in some case, this climb up to ⅔ of
the time spent in copy tracing. See inline comment for idea to handle this
better.
* Extracting data from the filelog. I would like to think this mostly comes from
the fact my test repositories pre-date Valentin Gatien-Baron improvement of
the `files` field (
99ebde4fec99) and that more recent revisions will be faster
to fetch. Further testing on this aspect is needed.
This revision compared to the previous one:
===========================================
Repo Case Source-Rev Dest-Rev # of revisions old time new time Difference Factor time per rev
--------------------------------------------------------------------------------------------------------------------------------------------------------------
mercurial x_revs_x_added_0_copies
ad6b123de1c7 39cfcef4f463 : 1 revs, 0.000047 s, 0.000049 s, +0.000002 s, × 1.0426, 49 µs/rev
mercurial x_revs_x_added_x_copies
2b1c78674230 0c1d10351869 : 6 revs, 0.000181 s, 0.000114 s, -0.000067 s, × 0.6298, 19 µs/rev
mercurial x000_revs_x000_added_x_copies
81f8ff2a9bf2 dd3267698d84 : 1032 revs, 0.005852 s, 0.004223 s, -0.001629 s, × 0.7216, 4 µs/rev
pypy x_revs_x_added_0_copies
aed021ee8ae8 099ed31b181b : 9 revs, 0.000229 s, 0.000305 s, +0.000076 s, × 1.3319, 33 µs/rev
pypy x_revs_x000_added_0_copies
4aa4e1f8e19a 359343b9ac0e : 1 revs, 0.000058 s, 0.000060 s, +0.000002 s, × 1.0345, 60 µs/rev
pypy x_revs_x_added_x_copies
ac52eb7bbbb0 72e022663155 : 7 revs, 0.000146 s, 0.000173 s, +0.000027 s, × 1.1849, 24 µs/rev
pypy x_revs_x00_added_x_copies
c3b14617fbd7 ace7255d9a26 : 1 revs, 0.001206 s, 0.000446 s, -0.000760 s, × 0.3698, 446 µs/rev
pypy x_revs_x000_added_x000_copies
df6f7a526b60 a83dc6a2d56f : 6 revs, 0.025275 s, 0.010360 s, -0.014915 s, × 0.4099, 1726 µs/rev
pypy x000_revs_xx00_added_0_copies
89a76aede314 2f22446ff07e : 4785 revs, 0.080303 s, 0.048002 s, -0.032301 s, × 0.5978, 10 µs/rev
pypy x000_revs_x000_added_x_copies
8a3b5bfd266e 2c68e87c3efe : 6780 revs, 0.152641 s, 0.075705 s, -0.076936 s, × 0.4960, 11 µs/rev
pypy x000_revs_x000_added_x000_copies
89a76aede314 7b3dda341c84 : 5441 revs, 0.099107 s, 0.056705 s, -0.042402 s, × 0.5722, 10 µs/rev
pypy x0000_revs_x_added_0_copies
d1defd0dc478 c9cb1334cc78 : 43646 revs, 2.137894 s, 0.794685 s, -1.343209 s, × 0.3717, 18 µs/rev
pypy x0000_revs_xx000_added_0_copies
bf2c629d0071 4ffed77c095c : 26389 revs, 0.022202 s, 0.020209 s, -0.001993 s, × 0.9102, 0 µs/rev
pypy x0000_revs_xx000_added_x000_copies
08ea3258278e d9fa043f30c0 : 11316 revs, 0.228946 s, 0.122475 s, -0.106471 s, × 0.5350, 10 µs/rev
netbeans x_revs_x_added_0_copies
fb0955ffcbcd a01e9239f9e7 : 2 revs, 0.000186 s, 0.000142 s, -0.000044 s, × 0.7634, 71 µs/rev
netbeans x_revs_x000_added_0_copies
6f360122949f 20eb231cc7d0 : 2 revs, 0.000133 s, 0.000113 s, -0.000020 s, × 0.8496, 56 µs/rev
netbeans x_revs_x_added_x_copies
1ada3faf6fb6 5a39d12eecf4 : 3 revs, 0.000320 s, 0.000241 s, -0.000079 s, × 0.7531, 80 µs/rev
netbeans x_revs_x00_added_x_copies
35be93ba1e2c 9eec5e90c05f : 9 revs, 0.001339 s, 0.000729 s, -0.000610 s, × 0.5444, 81 µs/rev
netbeans x000_revs_xx00_added_0_copies
eac3045b4fdd 51d4ae7f1290 : 1421 revs, 0.015694 s, 0.010198 s, -0.005496 s, × 0.6498, 7 µs/rev
netbeans x000_revs_x000_added_x_copies
e2063d266acd 6081d72689dc : 1533 revs, 0.018457 s, 0.015312 s, -0.003145 s, × 0.8296, 9 µs/rev
netbeans x000_revs_x000_added_x000_copies
ff453e9fee32 411350406ec2 : 5750 revs, 0.111691 s, 0.060517 s, -0.051174 s, × 0.5418, 10 µs/rev
netbeans x0000_revs_xx000_added_x000_copies
588c2d1ced70 1aad62e59ddd : 67005 revs, 1.166017 s, 0.611102 s, -0.554915 s, × 0.5241, 9 µs/rev
mozilla-central x_revs_x_added_0_copies
3697f962bb7b 7015fcdd43a2 : 2 revs, 0.000197 s, 0.000164 s, -0.000033 s, × 0.8325, 82 µs/rev
mozilla-central x_revs_x000_added_0_copies
dd390860c6c9 40d0c5bed75d : 8 revs, 0.000626 s, 0.000334 s, -0.000292 s, × 0.5335, 41 µs/rev
mozilla-central x_revs_x_added_x_copies
8d198483ae3b 14207ffc2b2f : 9 revs, 0.000303 s, 0.000463 s, +0.000160 s, × 1.5281, 51 µs/rev
mozilla-central x_revs_x00_added_x_copies
98cbc58cc6bc 446a150332c3 : 7 revs, 0.001679 s, 0.000730 s, -0.000949 s, × 0.4348, 104 µs/rev
mozilla-central x_revs_x000_added_x000_copies
3c684b4b8f68 0a5e72d1b479 : 3 revs, 0.006947 s, 0.003522 s, -0.003425 s, × 0.5070, 1174 µs/rev
mozilla-central x_revs_x0000_added_x0000_copies
effb563bb7e5 c07a39dc4e80 : 6 revs, 0.133070 s, 0.072518 s, -0.060552 s, × 0.5450, 12086 µs/rev
mozilla-central x000_revs_xx00_added_0_copies
6100d773079a 04a55431795e : 1593 revs, 0.008705 s, 0.005760 s, -0.002945 s, × 0.6617, 3 µs/rev
mozilla-central x000_revs_x000_added_x_copies
9f17a6fc04f9 2d37b966abed : 8315 revs, 0.005913 s, 0.005720 s, -0.000193 s, × 0.9674, 0 µs/rev
mozilla-central x000_revs_x000_added_x000_copies
7c97034feb78 4407bd0c6330 : 7839 revs, 0.101373 s, 0.063310 s, -0.038063 s, × 0.6245, 8 µs/rev
mozilla-central x0000_revs_xx000_added_0_copies
9eec5917337d 67118cc6dcad : 45299 revs, 0.046526 s, 0.043608 s, -0.002918 s, × 0.9373, 0 µs/rev
mozilla-central x0000_revs_xx000_added_x000_copies
f78c615a656c 96a38b690156 : 30263 revs, 0.313954 s, 0.204831 s, -0.109123 s, × 0.6524, 6 µs/rev
mozilla-central x00000_revs_x0000_added_x0000_copies
6832ae71433c 4c222a1d9a00 : 153721 revs, 3.367395 s, 2.161906 s, -1.205489 s, × 0.6420, 14 µs/rev
mozilla-central x00000_revs_x00000_added_x000_copies
76caed42cf7c 1daa622bbe42 : 210546 revs, 4.691820 s, 3.291831 s, -1.399989 s, × 0.7016, 15 µs/rev
mozilla-try x_revs_x_added_0_copies
aaf6dde0deb8 9790f499805a : 2 revs, 0.001199 s, 0.001213 s, +0.000014 s, × 1.0117, 606 µs/rev
mozilla-try x_revs_x000_added_0_copies
d8d0222927b4 5bb8ce8c7450 : 2 revs, 0.001216 s, 0.001225 s, +0.000009 s, × 1.0074, 612 µs/rev
mozilla-try x_revs_x_added_x_copies
092fcca11bdb 936255a0384a : 4 revs, 0.000613 s, 0.000564 s, -0.000049 s, × 0.9201, 141 µs/rev
mozilla-try x_revs_x00_added_x_copies
b53d2fadbdb5 017afae788ec : 2 revs, 0.001906 s, 0.001549 s, -0.000357 s, × 0.8127, 774 µs/rev
mozilla-try x_revs_x000_added_x000_copies
20408ad61ce5 6f0ee96e21ad : 1 revs, 0.092766 s, 0.035918 s, -0.056848 s, × 0.3872, 35918 µs/rev
mozilla-try x_revs_x0000_added_x0000_copies
effb563bb7e5 c07a39dc4e80 : 6 revs, 0.136074 s, 0.073788 s, -0.062286 s, × 0.5423, 12298 µs/rev
mozilla-try x000_revs_xx00_added_0_copies
6100d773079a 04a55431795e : 1593 revs, 0.009067 s, 0.006151 s, -0.002916 s, × 0.6784, 3 µs/rev
mozilla-try x000_revs_x000_added_x_copies
9f17a6fc04f9 2d37b966abed : 8315 revs, 0.006243 s, 0.006165 s, -0.000078 s, × 0.9875, 0 µs/rev
mozilla-try x000_revs_x000_added_x000_copies
1346fd0130e4 4c65cbdabc1f : 6657 revs, 0.114463 s, 0.065421 s, -0.049042 s, × 0.5715, 9 µs/rev
mozilla-try x0000_revs_x_added_0_copies
63519bfd42ee a36a2a865d92 : 40314 revs, 0.433683 s, 0.313749 s, -0.119934 s, × 0.7235, 7 µs/rev
mozilla-try x0000_revs_x_added_x_copies
9fe69ff0762d bcabf2a78927 : 38690 revs, 0.411278 s, 0.297867 s, -0.113411 s, × 0.7242, 7 µs/rev
mozilla-try x0000_revs_xx000_added_x_copies
156f6e2674f2 4d0f2c178e66 : 54487 revs, 0.155133 s, 0.111300 s, -0.043833 s, × 0.7174, 2 µs/rev
mozilla-try x0000_revs_xx000_added_0_copies
9eec5917337d 67118cc6dcad : 45299 revs, 0.048933 s, 0.046202 s, -0.002731 s, × 0.9442, 1 µs/rev
mozilla-try x0000_revs_xx000_added_x000_copies
89294cd501d9 7ccb2fc7ccb5 : 97052 revs, 8.100385 s, 1.999640 s, -6.100745 s, × 0.2469, 20 µs/rev
mozilla-try x0000_revs_x0000_added_x0000_copies
e928c65095ed e951f4ad123a : 52031 revs, 1.446720 s, 0.809134 s, -0.637586 s, × 0.5593, 15 µs/rev
mozilla-try x00000_revs_x_added_0_copies
6a320851d377 1ebb79acd503 : 363753 revs, killed , 47.406785 s, , , 130 µs/rev
mozilla-try x00000_revs_x00000_added_0_copies
dc8a3ca7010e d16fde900c9c : 444327 revs, 1.369537 s, 0.996219 s, -0.373318 s, × 0.7274, 2 µs/rev
mozilla-try x00000_revs_x_added_x_copies
5173c4b6f97c 95d83ee7242d : 362229 revs, killed , 47.273399 s, , , 130 µs/rev
mozilla-try x00000_revs_x000_added_x_copies
9126823d0e9c ca82787bb23c : 359344 revs, killed , 47.419099 s, , , 131 µs/rev
mozilla-try x00000_revs_x0000_added_x0000_copies
8d3fafa80d4b eb884023b810 : 192665 revs, 5.186079 s, 3.512653 s, -1.673426 s, × 0.6773, 18 µs/rev
mozilla-try x00000_revs_x00000_added_x0000_copies
1b661134e2ca 1ae03d022d6d : 237259 revs, killed , 44.459049 s, , , 187 µs/rev
mozilla-try x00000_revs_x00000_added_x000_copies
9b2a99adc05e 8e29777b48e6 : 391148 revs, killed , 52.837926 s, , , 135 µs/rev
This revision compared to the python code:
==========================================
Repo Case Source-Rev Dest-Rev # of revisions Python-Time Rust-Time Difference Factor time per rev
--------------------------------------------------------------------------------------------------------------------------------------------------------------
mercurial x_revs_x_added_0_copies
ad6b123de1c7 39cfcef4f463 : 1 revs, 0.000044 s, 0.000049 s, +0.000005 s, × 1.1136, 49 µs/rev
mercurial x_revs_x_added_x_copies
2b1c78674230 0c1d10351869 : 6 revs, 0.000138 s, 0.000114 s, -0.000024 s, × 0.8261, 19 µs/rev
mercurial x000_revs_x000_added_x_copies
81f8ff2a9bf2 dd3267698d84 : 1032 revs, 0.005052 s, 0.004223 s, -0.000829 s, × 0.8359, 4 µs/rev
pypy x_revs_x_added_0_copies
aed021ee8ae8 099ed31b181b : 9 revs, 0.000219 s, 0.000305 s, +0.000086 s, × 1.3927, 33 µs/rev
pypy x_revs_x000_added_0_copies
4aa4e1f8e19a 359343b9ac0e : 1 revs, 0.000055 s, 0.000060 s, +0.000005 s, × 1.0909, 60 µs/rev
pypy x_revs_x_added_x_copies
ac52eb7bbbb0 72e022663155 : 7 revs, 0.000128 s, 0.000173 s, +0.000045 s, × 1.3516, 24 µs/rev
pypy x_revs_x00_added_x_copies
c3b14617fbd7 ace7255d9a26 : 1 revs, 0.001089 s, 0.000446 s, -0.000643 s, × 0.4096, 446 µs/rev
pypy x_revs_x000_added_x000_copies
df6f7a526b60 a83dc6a2d56f : 6 revs, 0.017407 s, 0.010360 s, -0.007047 s, × 0.5952, 1726 µs/rev
pypy x000_revs_xx00_added_0_copies
89a76aede314 2f22446ff07e : 4785 revs, 0.094175 s, 0.048002 s, -0.046173 s, × 0.5097, 10 µs/rev
pypy x000_revs_x000_added_x_copies
8a3b5bfd266e 2c68e87c3efe : 6780 revs, 0.238009 s, 0.075705 s, -0.162304 s, × 0.3181, 11 µs/rev
pypy x000_revs_x000_added_x000_copies
89a76aede314 7b3dda341c84 : 5441 revs, 0.125876 s, 0.056705 s, -0.069171 s, × 0.4505, 10 µs/rev
pypy x0000_revs_x_added_0_copies
d1defd0dc478 c9cb1334cc78 : 43646 revs, 3.581556 s, 0.794685 s, -2.786871 s, × 0.2219, 18 µs/rev
pypy x0000_revs_xx000_added_0_copies
bf2c629d0071 4ffed77c095c : 26389 revs, 0.016721 s, 0.020209 s, +0.003488 s, × 1.2086, 0 µs/rev
pypy x0000_revs_xx000_added_x000_copies
08ea3258278e d9fa043f30c0 : 11316 revs, 0.242367 s, 0.122475 s, -0.119892 s, × 0.5053, 10 µs/rev
netbeans x_revs_x_added_0_copies
fb0955ffcbcd a01e9239f9e7 : 2 revs, 0.000165 s, 0.000142 s, -0.000023 s, × 0.8606, 71 µs/rev
netbeans x_revs_x000_added_0_copies
6f360122949f 20eb231cc7d0 : 2 revs, 0.000114 s, 0.000113 s, -0.000001 s, × 0.9912, 56 µs/rev
netbeans x_revs_x_added_x_copies
1ada3faf6fb6 5a39d12eecf4 : 3 revs, 0.000296 s, 0.000241 s, -0.000055 s, × 0.8142, 80 µs/rev
netbeans x_revs_x00_added_x_copies
35be93ba1e2c 9eec5e90c05f : 9 revs, 0.001124 s, 0.000729 s, -0.000395 s, × 0.6486, 81 µs/rev
netbeans x000_revs_xx00_added_0_copies
eac3045b4fdd 51d4ae7f1290 : 1421 revs, 0.013060 s, 0.010198 s, -0.002862 s, × 0.7809, 7 µs/rev
netbeans x000_revs_x000_added_x_copies
e2063d266acd 6081d72689dc : 1533 revs, 0.017112 s, 0.015312 s, -0.001800 s, × 0.8948, 9 µs/rev
netbeans x000_revs_x000_added_x000_copies
ff453e9fee32 411350406ec2 : 5750 revs, 0.660350 s, 0.060517 s, -0.599833 s, × 0.0916, 10 µs/rev
netbeans x0000_revs_xx000_added_x000_copies
588c2d1ced70 1aad62e59ddd : 67005 revs, 10.032499 s, 0.611102 s, -9.421397 s, × 0.0609, 9 µs/rev
mozilla-central x_revs_x_added_0_copies
3697f962bb7b 7015fcdd43a2 : 2 revs, 0.000189 s, 0.000164 s, -0.000025 s, × 0.8677, 82 µs/rev
mozilla-central x_revs_x000_added_0_copies
dd390860c6c9 40d0c5bed75d : 8 revs, 0.000462 s, 0.000334 s, -0.000128 s, × 0.7229, 41 µs/rev
mozilla-central x_revs_x_added_x_copies
8d198483ae3b 14207ffc2b2f : 9 revs, 0.000270 s, 0.000463 s, +0.000193 s, × 1.7148, 51 µs/rev
mozilla-central x_revs_x00_added_x_copies
98cbc58cc6bc 446a150332c3 : 7 revs, 0.001474 s, 0.000730 s, -0.000744 s, × 0.4953, 104 µs/rev
mozilla-central x_revs_x000_added_x000_copies
3c684b4b8f68 0a5e72d1b479 : 3 revs, 0.004806 s, 0.003522 s, -0.001284 s, × 0.7328, 1174 µs/rev
mozilla-central x_revs_x0000_added_x0000_copies
effb563bb7e5 c07a39dc4e80 : 6 revs, 0.085150 s, 0.072518 s, -0.012632 s, × 0.8517, 12086 µs/rev
mozilla-central x000_revs_xx00_added_0_copies
6100d773079a 04a55431795e : 1593 revs, 0.007064 s, 0.005760 s, -0.001304 s, × 0.8154, 3 µs/rev
mozilla-central x000_revs_x000_added_x_copies
9f17a6fc04f9 2d37b966abed : 8315 revs, 0.004741 s, 0.005720 s, +0.000979 s, × 1.2065, 0 µs/rev
mozilla-central x000_revs_x000_added_x000_copies
7c97034feb78 4407bd0c6330 : 7839 revs, 0.190133 s, 0.063310 s, -0.126823 s, × 0.3330, 8 µs/rev
mozilla-central x0000_revs_xx000_added_0_copies
9eec5917337d 67118cc6dcad : 45299 revs, 0.035651 s, 0.043608 s, +0.007957 s, × 1.2232, 0 µs/rev
mozilla-central x0000_revs_xx000_added_x000_copies
f78c615a656c 96a38b690156 : 30263 revs, 0.440694 s, 0.204831 s, -0.235863 s, × 0.4648, 6 µs/rev
mozilla-central x00000_revs_x0000_added_x0000_copies
6832ae71433c 4c222a1d9a00 : 153721 revs, 18.454163 s, 2.161906 s, -16.292257 s, × 0.1172, 14 µs/rev
mozilla-central x00000_revs_x00000_added_x000_copies
76caed42cf7c 1daa622bbe42 : 210546 revs, 31.562719 s, 3.291831 s, -28.270888 s, × 0.1043, 15 µs/rev
mozilla-try x_revs_x_added_0_copies
aaf6dde0deb8 9790f499805a : 2 revs, 0.001189 s, 0.001213 s, +0.000024 s, × 1.0202, 606 µs/rev
mozilla-try x_revs_x000_added_0_copies
d8d0222927b4 5bb8ce8c7450 : 2 revs, 0.001204 s, 0.001225 s, +0.000021 s, × 1.0174, 612 µs/rev
mozilla-try x_revs_x_added_x_copies
092fcca11bdb 936255a0384a : 4 revs, 0.000586 s, 0.000564 s, -0.000022 s, × 0.9625, 141 µs/rev
mozilla-try x_revs_x00_added_x_copies
b53d2fadbdb5 017afae788ec : 2 revs, 0.001845 s, 0.001549 s, -0.000296 s, × 0.8396, 774 µs/rev
mozilla-try x_revs_x000_added_x000_copies
20408ad61ce5 6f0ee96e21ad : 1 revs, 0.063822 s, 0.035918 s, -0.027904 s, × 0.5628, 35918 µs/rev
mozilla-try x_revs_x0000_added_x0000_copies
effb563bb7e5 c07a39dc4e80 : 6 revs, 0.088038 s, 0.073788 s, -0.014250 s, × 0.8381, 12298 µs/rev
mozilla-try x000_revs_xx00_added_0_copies
6100d773079a 04a55431795e : 1593 revs, 0.007389 s, 0.006151 s, -0.001238 s, × 0.8325, 3 µs/rev
mozilla-try x000_revs_x000_added_x_copies
9f17a6fc04f9 2d37b966abed : 8315 revs, 0.004868 s, 0.006165 s, +0.001297 s, × 1.2664, 0 µs/rev
mozilla-try x000_revs_x000_added_x000_copies
1346fd0130e4 4c65cbdabc1f : 6657 revs, 0.222450 s, 0.065421 s, -0.157029 s, × 0.2941, 9 µs/rev
mozilla-try x0000_revs_x_added_0_copies
63519bfd42ee a36a2a865d92 : 40314 revs, 0.370675 s, 0.313749 s, -0.056926 s, × 0.8464, 7 µs/rev
mozilla-try x0000_revs_x_added_x_copies
9fe69ff0762d bcabf2a78927 : 38690 revs, 0.358020 s, 0.297867 s, -0.060153 s, × 0.8320, 7 µs/rev
mozilla-try x0000_revs_xx000_added_x_copies
156f6e2674f2 4d0f2c178e66 : 54487 revs, 0.145235 s, 0.111300 s, -0.033935 s, × 0.7663, 2 µs/rev
mozilla-try x0000_revs_xx000_added_0_copies
9eec5917337d 67118cc6dcad : 45299 revs, 0.037606 s, 0.046202 s, +0.008596 s, × 1.2286, 1 µs/rev
mozilla-try x0000_revs_xx000_added_x000_copies
89294cd501d9 7ccb2fc7ccb5 : 97052 revs, 7.382439 s, 1.999640 s, -5.382799 s, × 0.2709, 20 µs/rev
mozilla-try x0000_revs_x0000_added_x0000_copies
e928c65095ed e951f4ad123a : 52031 revs, 7.273506 s, 0.809134 s, -6.464372 s, × 0.1112, 15 µs/rev
mozilla-try x00000_revs_x_added_0_copies
6a320851d377 1ebb79acd503 : 363753 revs, killed , 47.406785 s, , , 130 µs/rev
mozilla-try x00000_revs_x00000_added_0_copies
dc8a3ca7010e d16fde900c9c : 444327 revs, 1.074593 s, 0.996219 s, -0.078374 s, × 0.9271, 2 µs/rev
mozilla-try x00000_revs_x_added_x_copies
5173c4b6f97c 95d83ee7242d : 362229 revs, killed , 47.273399 s, , , 130 µs/rev
mozilla-try x00000_revs_x000_added_x_copies
9126823d0e9c ca82787bb23c : 359344 revs, killed , 47.419099 s, , , 131 µs/rev
mozilla-try x00000_revs_x0000_added_x0000_copies
8d3fafa80d4b eb884023b810 : 192665 revs, 27.746195 s, 3.512653 s, -24.233542 s, × 0.1266, 18 µs/rev
mozilla-try x00000_revs_x00000_added_x0000_copies
1b661134e2ca 1ae03d022d6d : 237259 revs, killed , 44.459049 s, , , 187 µs/rev
mozilla-try x00000_revs_x00000_added_x000_copies
9b2a99adc05e 8e29777b48e6 : 391148 revs, killed , 52.837926 s, , , 135 µs/rev
This revision compared to the filelog algorithm:
================================================
Repo Case Source-Rev Dest-Rev # of revisions filelog sidedata Difference Factor time per rev
--------------------------------------------------------------------------------------------------------------------------------------------------------------
mercurial x_revs_x_added_0_copies
ad6b123de1c7 39cfcef4f463 : 1 revs, 0.000906 s, 0.000049 s, -0.000857 s, × 0.0540, 48 µs/rev
mercurial x_revs_x_added_x_copies
2b1c78674230 0c1d10351869 : 6 revs, 0.001844 s, 0.000114 s, -0.001730 s, × 0.0618, 18 µs/rev
mercurial x000_revs_x000_added_x_copies
81f8ff2a9bf2 dd3267698d84 : 1032 revs, 0.018577 s, 0.004223 s, -0.014354 s, × 0.2273, 4 µs/rev
pypy x_revs_x_added_0_copies
aed021ee8ae8 099ed31b181b : 9 revs, 0.005009 s, 0.000305 s, -0.004704 s, × 0.0608, 33 µs/rev
pypy x_revs_x000_added_0_copies
4aa4e1f8e19a 359343b9ac0e : 1 revs, 0.209606 s, 0.000060 s, -0.209546 s, × 0.0002, 59 µs/rev
pypy x_revs_x_added_x_copies
ac52eb7bbbb0 72e022663155 : 7 revs, 0.017008 s, 0.000173 s, -0.016835 s, × 0.0101, 24 µs/rev
pypy x_revs_x00_added_x_copies
c3b14617fbd7 ace7255d9a26 : 1 revs, 0.019227 s, 0.000446 s, -0.018781 s, × 0.0231, 445 µs/rev
pypy x_revs_x000_added_x000_copies
df6f7a526b60 a83dc6a2d56f : 6 revs, 0.765782 s, 0.010360 s, -0.755422 s, × 0.0135, 1726 µs/rev
pypy x000_revs_xx00_added_0_copies
89a76aede314 2f22446ff07e : 4785 revs, 1.186068 s, 0.048002 s, -1.138066 s, × 0.0404, 10 µs/rev
pypy x000_revs_x000_added_x_copies
8a3b5bfd266e 2c68e87c3efe : 6780 revs, 1.266745 s, 0.075705 s, -1.191040 s, × 0.0597, 11 µs/rev
pypy x000_revs_x000_added_x000_copies
89a76aede314 7b3dda341c84 : 5441 revs, 1.666389 s, 0.056705 s, -1.609684 s, × 0.0340, 10 µs/rev
pypy x0000_revs_x_added_0_copies
d1defd0dc478 c9cb1334cc78 : 43646 revs, 0.001070 s, 0.794685 s, +0.793615 s, × 742.69, 18 µs/rev
pypy x0000_revs_xx000_added_0_copies
bf2c629d0071 4ffed77c095c : 26389 revs, 1.076269 s, 0.020209 s, -1.056060 s, × 0.0187, 0 µs/rev
pypy x0000_revs_xx000_added_x000_copies
08ea3258278e d9fa043f30c0 : 11316 revs, 1.355085 s, 0.122475 s, -1.232610 s, × 0.0903, 10 µs/rev
netbeans x_revs_x_added_0_copies
fb0955ffcbcd a01e9239f9e7 : 2 revs, 0.028551 s, 0.000142 s, -0.028409 s, × 0.0049, 70 µs/rev
netbeans x_revs_x000_added_0_copies
6f360122949f 20eb231cc7d0 : 2 revs, 0.157319 s, 0.000113 s, -0.157206 s, × 0.0007, 56 µs/rev
netbeans x_revs_x_added_x_copies
1ada3faf6fb6 5a39d12eecf4 : 3 revs, 0.025722 s, 0.000241 s, -0.025481 s, × 0.0093, 80 µs/rev
netbeans x_revs_x00_added_x_copies
35be93ba1e2c 9eec5e90c05f : 9 revs, 0.053374 s, 0.000729 s, -0.052645 s, × 0.0136, 80 µs/rev
netbeans x000_revs_xx00_added_0_copies
eac3045b4fdd 51d4ae7f1290 : 1421 revs, 0.038146 s, 0.010198 s, -0.027948 s, × 0.2673, 7 µs/rev
netbeans x000_revs_x000_added_x_copies
e2063d266acd 6081d72689dc : 1533 revs, 0.229215 s, 0.015312 s, -0.213903 s, × 0.0668, 9 µs/rev
netbeans x000_revs_x000_added_x000_copies
ff453e9fee32 411350406ec2 : 5750 revs, 0.974484 s, 0.060517 s, -0.913967 s, × 0.0621, 10 µs/rev
netbeans x0000_revs_xx000_added_x000_copies
588c2d1ced70 1aad62e59ddd : 67005 revs, 3.924308 s, 0.611102 s, -3.313206 s, × 0.1557, 9 µs/rev
mozilla-central x_revs_x_added_0_copies
3697f962bb7b 7015fcdd43a2 : 2 revs, 0.035563 s, 0.000164 s, -0.035399 s, × 0.0046, 81 µs/rev
mozilla-central x_revs_x000_added_0_copies
dd390860c6c9 40d0c5bed75d : 8 revs, 0.145766 s, 0.000334 s, -0.145432 s, × 0.0022, 41 µs/rev
mozilla-central x_revs_x_added_x_copies
8d198483ae3b 14207ffc2b2f : 9 revs, 0.026283 s, 0.000463 s, -0.025820 s, × 0.0176, 51 µs/rev
mozilla-central x_revs_x00_added_x_copies
98cbc58cc6bc 446a150332c3 : 7 revs, 0.087403 s, 0.000730 s, -0.086673 s, × 0.0083, 104 µs/rev
mozilla-central x_revs_x000_added_x000_copies
3c684b4b8f68 0a5e72d1b479 : 3 revs, 0.209484 s, 0.003522 s, -0.205962 s, × 0.0168, 1173 µs/rev
mozilla-central x_revs_x0000_added_x0000_copies
effb563bb7e5 c07a39dc4e80 : 6 revs, 2.197867 s, 0.072518 s, -2.125349 s, × 0.0329, 12084 µs/rev
mozilla-central x000_revs_xx00_added_0_copies
6100d773079a 04a55431795e : 1593 revs, 0.090142 s, 0.005760 s, -0.084382 s, × 0.0638, 3 µs/rev
mozilla-central x000_revs_x000_added_x_copies
9f17a6fc04f9 2d37b966abed : 8315 revs, 0.742658 s, 0.005720 s, -0.736938 s, × 0.0077, 0 µs/rev
mozilla-central x000_revs_x000_added_x000_copies
7c97034feb78 4407bd0c6330 : 7839 revs, 1.166159 s, 0.063310 s, -1.102849 s, × 0.0542, 8 µs/rev
mozilla-central x0000_revs_xx000_added_0_copies
9eec5917337d 67118cc6dcad : 45299 revs, 6.721719 s, 0.043608 s, -6.678111 s, × 0.0064, 0 µs/rev
mozilla-central x0000_revs_xx000_added_x000_copies
f78c615a656c 96a38b690156 : 30263 revs, 3.356523 s, 0.204831 s, -3.151692 s, × 0.0610, 6 µs/rev
mozilla-central x00000_revs_x0000_added_x0000_copies
6832ae71433c 4c222a1d9a00 : 153721 revs, 15.880822 s, 2.161906 s, -13.718916 s, × 0.1361, 14 µs/rev
mozilla-central x00000_revs_x00000_added_x000_copies
76caed42cf7c 1daa622bbe42 : 210546 revs, 20.781275 s, 3.291831 s, -17.489444 s, × 0.1584, 15 µs/rev
mozilla-try x_revs_x_added_0_copies
aaf6dde0deb8 9790f499805a : 2 revs, 0.084165 s, 0.001213 s, -0.082952 s, × 0.0144, 606 µs/rev
mozilla-try x_revs_x000_added_0_copies
d8d0222927b4 5bb8ce8c7450 : 2 revs, 0.503744 s, 0.001225 s, -0.502519 s, × 0.0024, 612 µs/rev
mozilla-try x_revs_x_added_x_copies
092fcca11bdb 936255a0384a : 4 revs, 0.021545 s, 0.000564 s, -0.020981 s, × 0.0261, 140 µs/rev
mozilla-try x_revs_x00_added_x_copies
b53d2fadbdb5 017afae788ec : 2 revs, 0.240699 s, 0.001549 s, -0.239150 s, × 0.0064, 774 µs/rev
mozilla-try x_revs_x000_added_x000_copies
20408ad61ce5 6f0ee96e21ad : 1 revs, 1.100682 s, 0.035918 s, -1.064764 s, × 0.0326, 35882 µs/rev
mozilla-try x_revs_x0000_added_x0000_copies
effb563bb7e5 c07a39dc4e80 : 6 revs, 2.234809 s, 0.073788 s, -2.161021 s, × 0.0330, 12295 µs/rev
mozilla-try x000_revs_xx00_added_0_copies
6100d773079a 04a55431795e : 1593 revs, 0.091222 s, 0.006151 s, -0.085071 s, × 0.0674, 3 µs/rev
mozilla-try x000_revs_x000_added_x_copies
9f17a6fc04f9 2d37b966abed : 8315 revs, 0.764722 s, 0.006165 s, -0.758557 s, × 0.0080, 0 µs/rev
mozilla-try x000_revs_x000_added_x000_copies
1346fd0130e4 4c65cbdabc1f : 6657 revs, 1.185655 s, 0.065421 s, -1.120234 s, × 0.0551, 9 µs/rev
mozilla-try x0000_revs_x_added_0_copies
63519bfd42ee a36a2a865d92 : 40314 revs, 0.089736 s, 0.313749 s, +0.224013 s, × 3.4963, 7 µs/rev
mozilla-try x0000_revs_x_added_x_copies
9fe69ff0762d bcabf2a78927 : 38690 revs, 0.084132 s, 0.297867 s, +0.213735 s, × 3.5404, 7 µs/rev
mozilla-try x0000_revs_xx000_added_x_copies
156f6e2674f2 4d0f2c178e66 : 54487 revs, 7.581932 s, 0.111300 s, -7.470632 s, × 0.0146, 2 µs/rev
mozilla-try x0000_revs_xx000_added_0_copies
9eec5917337d 67118cc6dcad : 45299 revs, 6.671144 s, 0.046202 s, -6.624942 s, × 0.0069, 1 µs/rev
mozilla-try x0000_revs_xx000_added_x000_copies
89294cd501d9 7ccb2fc7ccb5 : 97052 revs, 7.674771 s, 1.999640 s, -5.675131 s, × 0.2605, 20 µs/rev
mozilla-try x0000_revs_x0000_added_x0000_copies
e928c65095ed e951f4ad123a : 52031 revs, 9.870343 s, 0.809134 s, -9.061209 s, × 0.0819, 15 µs/rev
mozilla-try x00000_revs_x_added_0_copies
6a320851d377 1ebb79acd503 : 363753 revs, 0.094781 s, 47.406785 s, +47.312004 s, × 500.17, 130 µs/rev
mozilla-try x00000_revs_x00000_added_0_copies
dc8a3ca7010e d16fde900c9c : 444327 revs, 26.690029 s, 0.996219 s, -25.693810 s, × 0.0373, 2 µs/rev
mozilla-try x00000_revs_x_added_x_copies
5173c4b6f97c 95d83ee7242d : 362229 revs, 0.094941 s, 47.273399 s, +47.178458 s, × 497.92, 130 µs/rev
mozilla-try x00000_revs_x000_added_x_copies
9126823d0e9c ca82787bb23c : 359344 revs, 0.233811 s, 47.419099 s, +47.185288 s, × 202.80, 131 µs/rev
mozilla-try x00000_revs_x0000_added_x0000_copies
8d3fafa80d4b eb884023b810 : 192665 revs, 19.321750 s, 3.512653 s, -15.809097 s, × 0.1817, 18 µs/rev
mozilla-try x00000_revs_x00000_added_x0000_copies
1b661134e2ca 1ae03d022d6d : 237259 revs, 21.358350 s, 44.459049 s, +23.100699 s, × 2.0815, 187 µs/rev
mozilla-try x00000_revs_x00000_added_x000_copies
9b2a99adc05e 8e29777b48e6 : 391148 revs, 25.328737 s, 52.837926 s, +27.509189 s, × 2.0860, 135 µs/rev
Differential Revision: https://phab.mercurial-scm.org/D9307
upgrade: start moving the "to be happening" data in a dedicated object
The upgrade code has a lot of logic to determine which action needs to be
performed depending of various element (sometimes depending from each other). It
would be nice to have a consistent object representing this. That could be
cleanly passed and avoid some logic duplication.
So we create this object as a start.
Differential Revision: https://phab.mercurial-scm.org/D9487
hg: add user-site to `sys.path` on Windows to allow pip-installed extensions
This has been in the TortoiseHg builds for several cycles now on Windows, and
even longer on macOS. It allows an extension to be configured with `ext =`
syntax, instead of requiring the full path to be specified. It's confusing for
a user to be hit with messages about not being able to load extensions, based
solely on which `hg.exe` is being run.
This only applies to py2exe binaries, since wrapper.exe already sees into the
user site area. There are no frozen binaries on other platforms (that I'm aware
of), and an equivalent change will need to be made to `dispatch.py` in order to
work with PyOxidizer, since it bypasses this module completely. (It also has
the ability to use the `site` module, so it will look completely different.)
Differential Revision: https://phab.mercurial-scm.org/D9531
rust: use crossbeam-channel crate directly
… instead of its reexport in the crossbeam crate.
This removes two crates from the dependency graph.
Differential Revision: https://phab.mercurial-scm.org/D9521
upgrade: gather code about requirement checking together
They just moved in the same file, now they are grouped together and documented.
Differential Revision: https://phab.mercurial-scm.org/D9486