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copies-rust: tokenize all paths into integer...
copies-rust: tokenize all paths into integer Copy information for each changesets tend to affect a small new number of path. However, each of these path might be handled a large number of time. Handling HgPathBuf (aka `Vec<u8>`) is expensive. Handling integer is cheap. With this patch we: - turn any input path into an integer "token" early, - do all the internal logic using such "token", - turn "token" back into path right before returning a result. This gives use a quite significant performance boost in our slower cases. Repo Case Source-Rev Dest-Rev # of revisions old time new time Difference Factor time per rev --------------------------------------------------------------------------------------------------------------------------------------------------------------- pypy x000_revs_x000_added_x_copies 8a3b5bfd266e 2c68e87c3efe : 6780 revs, 0.092828 s, 0.081225 s, -0.011603 s, × 0.8750, 11 µs/rev pypy x0000_revs_x_added_0_copies d1defd0dc478 c9cb1334cc78 : 43645 revs, 0.711975 s, 0.586011 s, -0.125964 s, × 0.8231, 13 µs/rev pypy x0000_revs_xx000_added_x000_copies 08ea3258278e d9fa043f30c0 : 11316 revs, 0.124505 s, 0.114173 s, -0.010332 s, × 0.9170, 10 µs/rev netbeans x000_revs_x000_added_x000_copies ff453e9fee32 411350406ec2 : 5750 revs, 0.072072 s, 0.061004 s, -0.011068 s, × 0.8464, 10 µs/rev netbeans x0000_revs_xx000_added_x000_copies 588c2d1ced70 1aad62e59ddd : 66949 revs, 0.682732 s, 0.535874 s, -0.146858 s, × 0.7849, 8 µs/rev mozilla-central x00000_revs_x0000_added_x0000_copies 6832ae71433c 4c222a1d9a00 : 153721 revs, 1.935918 s, 1.781383 s, -0.154535 s, × 0.9202, 11 µs/rev mozilla-central x00000_revs_x00000_added_x000_copies 76caed42cf7c 1daa622bbe42 : 204976 revs, 2.827320 s, 2.603867 s, -0.223453 s, × 0.9210, 12 µs/rev mozilla-try x0000_revs_xx000_added_x000_copies 89294cd501d9 7ccb2fc7ccb5 : 97052 revs, 3.243010 s, 1.529120 s, -1.713890 s, × 0.4715, 15 µs/rev mozilla-try x00000_revs_x_added_0_copies 6a320851d377 1ebb79acd503 : 363753 revs, 5.693818 s, 4.842699 s, -0.851119 s, × 0.8505, 13 µs/rev mozilla-try x00000_revs_x_added_x_copies 5173c4b6f97c 95d83ee7242d : 362229 revs, 5.677655 s, 4.761732 s, -0.915923 s, × 0.8387, 13 µs/rev mozilla-try x00000_revs_x000_added_x_copies 9126823d0e9c ca82787bb23c : 359344 revs, 5.563370 s, 4.733912 s, -0.829458 s, × 0.8509, 13 µs/rev mozilla-try x00000_revs_x0000_added_x0000_copies 8d3fafa80d4b eb884023b810 : 192665 revs, 2.864099 s, 2.593410 s, -0.270689 s, × 0.9055, 13 µs/rev mozilla-try x00000_revs_x00000_added_x0000_copies 1b661134e2ca 1ae03d022d6d : 228985 revs, 113.297287 s, 41.041198 s, -72.256089 s, × 0.3622, 179 µs/rev mozilla-try x00000_revs_x00000_added_x000_copies 9b2a99adc05e 8e29777b48e6 : 382065 revs, 59.498652 s, 27.915689 s, -31.582963 s, × 0.4692, 73 µs/rev Full timing comparison between this revision and 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, 0.000042 s, 0.000042 s, +0.000000 s, × 1.0000, 42 µs/rev mercurial x_revs_x_added_x_copies 2b1c78674230 0c1d10351869 : 6 revs, 0.000104 s, 0.000110 s, +0.000006 s, × 1.0577, 18 µs/rev mercurial x000_revs_x000_added_x_copies 81f8ff2a9bf2 dd3267698d84 : 1032 revs, 0.004913 s, 0.004918 s, +0.000005 s, × 1.0010, 4 µs/rev pypy x_revs_x_added_0_copies aed021ee8ae8 099ed31b181b : 9 revs, 0.000191 s, 0.000195 s, +0.000004 s, × 1.0209, 21 µs/rev pypy x_revs_x000_added_0_copies 4aa4e1f8e19a 359343b9ac0e : 1 revs, 0.000050 s, 0.000049 s, -0.000001 s, × 0.9800, 49 µs/rev pypy x_revs_x_added_x_copies ac52eb7bbbb0 72e022663155 : 7 revs, 0.000112 s, 0.000112 s, +0.000000 s, × 1.0000, 16 µs/rev pypy x_revs_x00_added_x_copies c3b14617fbd7 ace7255d9a26 : 1 revs, 0.000288 s, 0.000324 s, +0.000036 s, × 1.1250, 324 µs/rev pypy x_revs_x000_added_x000_copies df6f7a526b60 a83dc6a2d56f : 6 revs, 0.010411 s, 0.010611 s, +0.000200 s, × 1.0192, 1768 µs/rev pypy x000_revs_xx00_added_0_copies 89a76aede314 2f22446ff07e : 4785 revs, 0.052852 s, 0.050835 s, -0.002017 s, × 0.9618, 10 µs/rev pypy x000_revs_x000_added_x_copies 8a3b5bfd266e 2c68e87c3efe : 6780 revs, 0.092828 s, 0.081225 s, -0.011603 s, × 0.8750, 11 µs/rev pypy x000_revs_x000_added_x000_copies 89a76aede314 7b3dda341c84 : 5441 revs, 0.063269 s, 0.061291 s, -0.001978 s, × 0.9687, 11 µs/rev pypy x0000_revs_x_added_0_copies d1defd0dc478 c9cb1334cc78 : 43645 revs, 0.711975 s, 0.586011 s, -0.125964 s, × 0.8231, 13 µs/rev pypy x0000_revs_xx000_added_0_copies bf2c629d0071 4ffed77c095c : 2 revs, 0.012771 s, 0.012824 s, +0.000053 s, × 1.0042, 6412 µs/rev pypy x0000_revs_xx000_added_x000_copies 08ea3258278e d9fa043f30c0 : 11316 revs, 0.124505 s, 0.114173 s, -0.010332 s, × 0.9170, 10 µs/rev netbeans x_revs_x_added_0_copies fb0955ffcbcd a01e9239f9e7 : 2 revs, 0.000082 s, 0.000085 s, +0.000003 s, × 1.0366, 42 µs/rev netbeans x_revs_x000_added_0_copies 6f360122949f 20eb231cc7d0 : 2 revs, 0.000111 s, 0.000108 s, -0.000003 s, × 0.9730, 54 µs/rev netbeans x_revs_x_added_x_copies 1ada3faf6fb6 5a39d12eecf4 : 3 revs, 0.000171 s, 0.000175 s, +0.000004 s, × 1.0234, 58 µs/rev netbeans x_revs_x00_added_x_copies 35be93ba1e2c 9eec5e90c05f : 9 revs, 0.000708 s, 0.000719 s, +0.000011 s, × 1.0155, 79 µs/rev netbeans x000_revs_xx00_added_0_copies eac3045b4fdd 51d4ae7f1290 : 1421 revs, 0.010608 s, 0.010175 s, -0.000433 s, × 0.9592, 7 µs/rev netbeans x000_revs_x000_added_x_copies e2063d266acd 6081d72689dc : 1533 revs, 0.015635 s, 0.015569 s, -0.000066 s, × 0.9958, 10 µs/rev netbeans x000_revs_x000_added_x000_copies ff453e9fee32 411350406ec2 : 5750 revs, 0.072072 s, 0.061004 s, -0.011068 s, × 0.8464, 10 µs/rev netbeans x0000_revs_xx000_added_x000_copies 588c2d1ced70 1aad62e59ddd : 66949 revs, 0.682732 s, 0.535874 s, -0.146858 s, × 0.7849, 8 µs/rev mozilla-central x_revs_x_added_0_copies 3697f962bb7b 7015fcdd43a2 : 2 revs, 0.000090 s, 0.000090 s, +0.000000 s, × 1.0000, 45 µs/rev mozilla-central x_revs_x000_added_0_copies dd390860c6c9 40d0c5bed75d : 8 revs, 0.000210 s, 0.000281 s, +0.000071 s, × 1.3381, 35 µs/rev mozilla-central x_revs_x_added_x_copies 8d198483ae3b 14207ffc2b2f : 9 revs, 0.000182 s, 0.000187 s, +0.000005 s, × 1.0275, 20 µs/rev mozilla-central x_revs_x00_added_x_copies 98cbc58cc6bc 446a150332c3 : 7 revs, 0.000594 s, 0.000660 s, +0.000066 s, × 1.1111, 94 µs/rev mozilla-central x_revs_x000_added_x000_copies 3c684b4b8f68 0a5e72d1b479 : 3 revs, 0.003102 s, 0.003385 s, +0.000283 s, × 1.0912, 1128 µs/rev mozilla-central x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 6 revs, 0.060234 s, 0.069812 s, +0.009578 s, × 1.1590, 11635 µs/rev mozilla-central x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 1593 revs, 0.006300 s, 0.006503 s, +0.000203 s, × 1.0322, 4 µs/rev mozilla-central x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 41 revs, 0.004817 s, 0.004988 s, +0.000171 s, × 1.0355, 121 µs/rev mozilla-central x000_revs_x000_added_x000_copies 7c97034feb78 4407bd0c6330 : 7839 revs, 0.065451 s, 0.063963 s, -0.001488 s, × 0.9773, 8 µs/rev mozilla-central x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 615 revs, 0.026282 s, 0.026225 s, -0.000057 s, × 0.9978, 42 µs/rev mozilla-central x0000_revs_xx000_added_x000_copies f78c615a656c 96a38b690156 : 30263 revs, 0.206873 s, 0.201377 s, -0.005496 s, × 0.9734, 6 µs/rev mozilla-central x00000_revs_x0000_added_x0000_copies 6832ae71433c 4c222a1d9a00 : 153721 revs, 1.935918 s, 1.781383 s, -0.154535 s, × 0.9202, 11 µs/rev mozilla-central x00000_revs_x00000_added_x000_copies 76caed42cf7c 1daa622bbe42 : 204976 revs, 2.827320 s, 2.603867 s, -0.223453 s, × 0.9210, 12 µs/rev mozilla-try x_revs_x_added_0_copies aaf6dde0deb8 9790f499805a : 2 revs, 0.000842 s, 0.000845 s, +0.000003 s, × 1.0036, 422 µs/rev mozilla-try x_revs_x000_added_0_copies d8d0222927b4 5bb8ce8c7450 : 2 revs, 0.000870 s, 0.000862 s, -0.000008 s, × 0.9908, 431 µs/rev mozilla-try x_revs_x_added_x_copies 092fcca11bdb 936255a0384a : 4 revs, 0.000165 s, 0.000161 s, -0.000004 s, × 0.9758, 40 µs/rev mozilla-try x_revs_x00_added_x_copies b53d2fadbdb5 017afae788ec : 2 revs, 0.001145 s, 0.001163 s, +0.000018 s, × 1.0157, 581 µs/rev mozilla-try x_revs_x000_added_x000_copies 20408ad61ce5 6f0ee96e21ad : 1 revs, 0.026500 s, 0.032414 s, +0.005914 s, × 1.2232, 32414 µs/rev mozilla-try x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 6 revs, 0.059407 s, 0.070149 s, +0.010742 s, × 1.1808, 11691 µs/rev mozilla-try x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 1593 revs, 0.006325 s, 0.006526 s, +0.000201 s, × 1.0318, 4 µs/rev mozilla-try x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 41 revs, 0.005171 s, 0.005187 s, +0.000016 s, × 1.0031, 126 µs/rev mozilla-try x000_revs_x000_added_x000_copies 1346fd0130e4 4c65cbdabc1f : 6657 revs, 0.066837 s, 0.065047 s, -0.001790 s, × 0.9732, 9 µs/rev mozilla-try x0000_revs_x_added_0_copies 63519bfd42ee a36a2a865d92 : 40314 revs, 0.314252 s, 0.301129 s, -0.013123 s, × 0.9582, 7 µs/rev mozilla-try x0000_revs_x_added_x_copies 9fe69ff0762d bcabf2a78927 : 38690 revs, 0.304160 s, 0.280683 s, -0.023477 s, × 0.9228, 7 µs/rev mozilla-try x0000_revs_xx000_added_x_copies 156f6e2674f2 4d0f2c178e66 : 8598 revs, 0.089223 s, 0.084897 s, -0.004326 s, × 0.9515, 9 µs/rev mozilla-try x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 615 revs, 0.026711 s, 0.026620 s, -0.000091 s, × 0.9966, 43 µs/rev mozilla-try x0000_revs_xx000_added_x000_copies 89294cd501d9 7ccb2fc7ccb5 : 97052 revs, 3.243010 s, 1.529120 s, -1.713890 s, × 0.4715, 15 µs/rev mozilla-try x0000_revs_x0000_added_x0000_copies e928c65095ed e951f4ad123a : 52031 revs, 0.756500 s, 0.738709 s, -0.017791 s, × 0.9765, 14 µs/rev mozilla-try x00000_revs_x_added_0_copies 6a320851d377 1ebb79acd503 : 363753 revs, 5.693818 s, 4.842699 s, -0.851119 s, × 0.8505, 13 µs/rev mozilla-try x00000_revs_x00000_added_0_copies dc8a3ca7010e d16fde900c9c : 34414 revs, 0.590904 s, 0.596946 s, +0.006042 s, × 1.0102, 17 µs/rev mozilla-try x00000_revs_x_added_x_copies 5173c4b6f97c 95d83ee7242d : 362229 revs, 5.677655 s, 4.761732 s, -0.915923 s, × 0.8387, 13 µs/rev mozilla-try x00000_revs_x000_added_x_copies 9126823d0e9c ca82787bb23c : 359344 revs, 5.563370 s, 4.733912 s, -0.829458 s, × 0.8509, 13 µs/rev mozilla-try x00000_revs_x0000_added_x0000_copies 8d3fafa80d4b eb884023b810 : 192665 revs, 2.864099 s, 2.593410 s, -0.270689 s, × 0.9055, 13 µs/rev mozilla-try x00000_revs_x00000_added_x0000_copies 1b661134e2ca 1ae03d022d6d : 228985 revs, 113.297287 s, 41.041198 s, -72.256089 s, × 0.3622, 179 µs/rev mozilla-try x00000_revs_x00000_added_x000_copies 9b2a99adc05e 8e29777b48e6 : 382065 revs, 59.498652 s, 27.915689 s, -31.582963 s, × 0.4692, 73 µs/rev Full timing comparison between this revision and the filelog copy tracing. 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, 0.000903 s, 0.000042 s, -0.000861 s, × 0.0465, 41 µs/rev mercurial x_revs_x_added_x_copies 2b1c78674230 0c1d10351869 : 6 revs, 0.001861 s, 0.000110 s, -0.001751 s, × 0.0591, 18 µs/rev mercurial x000_revs_x000_added_x_copies 81f8ff2a9bf2 dd3267698d84 : 1032 revs, 0.018577 s, 0.004918 s, -0.013659 s, × 0.2647, 4 µs/rev pypy x_revs_x_added_0_copies aed021ee8ae8 099ed31b181b : 9 revs, 0.001519 s, 0.000195 s, -0.001324 s, × 0.1283, 21 µs/rev pypy x_revs_x000_added_0_copies 4aa4e1f8e19a 359343b9ac0e : 1 revs, 0.213855 s, 0.000049 s, -0.350d73 s, × 0.0002, 48 µs/rev pypy x_revs_x_added_x_copies ac52eb7bbbb0 72e022663155 : 7 revs, 0.017022 s, 0.000112 s, -0.016910 s, × 0.0065, 15 µs/rev pypy x_revs_x00_added_x_copies c3b14617fbd7 ace7255d9a26 : 1 revs, 0.019398 s, 0.000324 s, -0.019074 s, × 0.0167, 323 µs/rev pypy x_revs_x000_added_x000_copies df6f7a526b60 a83dc6a2d56f : 6 revs, 0.769467 s, 0.010611 s, -0.758856 s, × 0.0137, 1768 µs/rev pypy x000_revs_xx00_added_0_copies 89a76aede314 2f22446ff07e : 4785 revs, 1.221952 s, 0.050835 s, -1.171117 s, × 0.0416, 10 µs/rev pypy x000_revs_x000_added_x_copies 8a3b5bfd266e 2c68e87c3efe : 6780 revs, 1.304007 s, 0.081225 s, -1.222782 s, × 0.0622, 11 µs/rev pypy x000_revs_x000_added_x000_copies 89a76aede314 7b3dda341c84 : 5441 revs, 1.686610 s, 0.061291 s, -1.625319 s, × 0.0363, 11 µs/rev pypy x0000_revs_x_added_0_copies d1defd0dc478 c9cb1334cc78 : 43645 revs, 0.001107 s, 0.586011 s, +0.584904 s, × 529.36, 13 µs/rev pypy x0000_revs_xx000_added_0_copies bf2c629d0071 4ffed77c095c : 2 revs, 1.100760 s, 0.012824 s, -1.087936 s, × 0.0116, 6408 µs/rev pypy x0000_revs_xx000_added_x000_copies 08ea3258278e d9fa043f30c0 : 11316 revs, 1.350547 s, 0.114173 s, -1.236374 s, × 0.0845, 10 µs/rev netbeans x_revs_x_added_0_copies fb0955ffcbcd a01e9239f9e7 : 2 revs, 0.027864 s, 0.000085 s, -0.027779 s, × 0.0030, 42 µs/rev netbeans x_revs_x000_added_0_copies 6f360122949f 20eb231cc7d0 : 2 revs, 0.132479 s, 0.000108 s, -0.132371 s, × 0.0008, 53 µs/rev netbeans x_revs_x_added_x_copies 1ada3faf6fb6 5a39d12eecf4 : 3 revs, 0.025405 s, 0.000175 s, -0.025230 s, × 0.0068, 58 µs/rev netbeans x_revs_x00_added_x_copies 35be93ba1e2c 9eec5e90c05f : 9 revs, 0.053244 s, 0.000719 s, -0.052525 s, × 0.0135, 79 µs/rev netbeans x000_revs_xx00_added_0_copies eac3045b4fdd 51d4ae7f1290 : 1421 revs, 0.038017 s, 0.010175 s, -0.027842 s, × 0.2676, 7 µs/rev netbeans x000_revs_x000_added_x_copies e2063d266acd 6081d72689dc : 1533 revs, 0.198308 s, 0.015569 s, -0.182739 s, × 0.0785, 10 µs/rev netbeans x000_revs_x000_added_x000_copies ff453e9fee32 411350406ec2 : 5750 revs, 0.949749 s, 0.061004 s, -0.888745 s, × 0.0642, 10 µs/rev netbeans x0000_revs_xx000_added_x000_copies 588c2d1ced70 1aad62e59ddd : 66949 revs, 3.932262 s, 0.535874 s, -3.396388 s, × 0.1362, 8 µs/rev mozilla-central x_revs_x_added_0_copies 3697f962bb7b 7015fcdd43a2 : 2 revs, 0.024490 s, 0.000090 s, -0.024400 s, × 0.0036, 44 µs/rev mozilla-central x_revs_x000_added_0_copies dd390860c6c9 40d0c5bed75d : 8 revs, 0.143885 s, 0.000281 s, -0.143604 s, × 0.0019, 35 µs/rev mozilla-central x_revs_x_added_x_copies 8d198483ae3b 14207ffc2b2f : 9 revs, 0.025471 s, 0.000187 s, -0.025284 s, × 0.0073, 20 µs/rev mozilla-central x_revs_x00_added_x_copies 98cbc58cc6bc 446a150332c3 : 7 revs, 0.086013 s, 0.000660 s, -0.085353 s, × 0.0076, 94 µs/rev mozilla-central x_revs_x000_added_x000_copies 3c684b4b8f68 0a5e72d1b479 : 3 revs, 0.200726 s, 0.003385 s, -0.197341 s, × 0.0168, 1127 µs/rev mozilla-central x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 6 revs, 2.224171 s, 0.069812 s, -2.154359 s, × 0.0313, 11633 µs/rev mozilla-central x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 1593 revs, 0.090780 s, 0.006503 s, -0.084277 s, × 0.0716, 4 µs/rev mozilla-central x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 41 revs, 0.764805 s, 0.004988 s, -0.759817 s, × 0.0065, 121 µs/rev mozilla-central x000_revs_x000_added_x000_copies 7c97034feb78 4407bd0c6330 : 7839 revs, 1.161405 s, 0.063963 s, -1.097442 s, × 0.0550, 8 µs/rev mozilla-central x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 615 revs, 6.816186 s, 0.026225 s, -6.789961 s, × 0.0038, 42 µs/rev mozilla-central x0000_revs_xx000_added_x000_copies f78c615a656c 96a38b690156 : 30263 revs, 3.374819 s, 0.201377 s, -3.173442 s, × 0.0596, 6 µs/rev mozilla-central x00000_revs_x0000_added_x0000_copies 6832ae71433c 4c222a1d9a00 : 153721 revs, 16.285469 s, 1.781383 s, -14.504086 s, × 0.1093, 11 µs/rev mozilla-central x00000_revs_x00000_added_x000_copies 76caed42cf7c 1daa622bbe42 : 204976 revs, 21.207733 s, 2.603867 s, -18.603866 s, × 0.1227, 12 µs/rev mozilla-try x_revs_x_added_0_copies aaf6dde0deb8 9790f499805a : 2 revs, 0.080843 s, 0.000845 s, -0.079998 s, × 0.0104, 422 µs/rev mozilla-try x_revs_x000_added_0_copies d8d0222927b4 5bb8ce8c7450 : 2 revs, 0.511068 s, 0.000862 s, -0.510206 s, × 0.0016, 430 µs/rev mozilla-try x_revs_x_added_x_copies 092fcca11bdb 936255a0384a : 4 revs, 0.021573 s, 0.000161 s, -0.021412 s, × 0.0074, 40 µs/rev mozilla-try x_revs_x00_added_x_copies b53d2fadbdb5 017afae788ec : 2 revs, 0.227726 s, 0.001163 s, -0.226563 s, × 0.0051, 581 µs/rev mozilla-try x_revs_x000_added_x000_copies 20408ad61ce5 6f0ee96e21ad : 1 revs, 1.120448 s, 0.032414 s, -1.088034 s, × 0.0289, 32381 µs/rev mozilla-try x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 6 revs, 2.241713 s, 0.070149 s, -2.171564 s, × 0.0312, 11689 µs/rev mozilla-try x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 1593 revs, 0.090633 s, 0.006526 s, -0.084107 s, × 0.0720, 4 µs/rev mozilla-try x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 41 revs, 0.770403 s, 0.005187 s, -0.765216 s, × 0.0067, 126 µs/rev mozilla-try x000_revs_x000_added_x000_copies 1346fd0130e4 4c65cbdabc1f : 6657 revs, 1.184557 s, 0.065047 s, -1.119510 s, × 0.0549, 9 µs/rev mozilla-try x0000_revs_x_added_0_copies 63519bfd42ee a36a2a865d92 : 40314 revs, 0.085790 s, 0.301129 s, +0.215339 s, × 3.5100, 7 µs/rev mozilla-try x0000_revs_x_added_x_copies 9fe69ff0762d bcabf2a78927 : 38690 revs, 0.080616 s, 0.280683 s, +0.200067 s, × 3.4817, 7 µs/rev mozilla-try x0000_revs_xx000_added_x_copies 156f6e2674f2 4d0f2c178e66 : 8598 revs, 7.712554 s, 0.084897 s, -7.627657 s, × 0.0110, 9 µs/rev mozilla-try x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 615 revs, 6.937294 s, 0.026620 s, -6.910674 s, × 0.0038, 43 µs/rev mozilla-try x0000_revs_xx000_added_x000_copies 89294cd501d9 7ccb2fc7ccb5 : 97052 revs, 7.712313 s, 1.529120 s, -6.183193 s, × 0.1982, 15 µs/rev mozilla-try x0000_revs_x0000_added_x0000_copies e928c65095ed e951f4ad123a : 52031 revs, 9.966910 s, 0.738709 s, -9.228201 s, × 0.0741, 14 µs/rev mozilla-try x00000_revs_x_added_0_copies 6a320851d377 1ebb79acd503 : 363753 revs, 0.090397 s, 4.842699 s, +4.752302 s, × 53.571, 13 µs/rev mozilla-try x00000_revs_x00000_added_0_copies dc8a3ca7010e d16fde900c9c : 34414 revs, 27.817167 s, 0.596946 s, -27.220221 s, × 0.0214, 17 µs/rev mozilla-try x00000_revs_x_added_x_copies 5173c4b6f97c 95d83ee7242d : 362229 revs, 0.091305 s, 4.761732 s, +4.670427 s, × 52.151, 13 µs/rev mozilla-try x00000_revs_x000_added_x_copies 9126823d0e9c ca82787bb23c : 359344 revs, 0.231183 s, 4.733912 s, +4.502729 s, × 20.476, 13 µs/rev mozilla-try x00000_revs_x0000_added_x0000_copies 8d3fafa80d4b eb884023b810 : 192665 revs, 19.830617 s, 2.593410 s, -17.237207 s, × 0.1307, 13 µs/rev mozilla-try x00000_revs_x00000_added_x0000_copies 1b661134e2ca 1ae03d022d6d : 228985 revs, 21.743873 s, 41.041198 s, +19.297325 s, × 1.8874, 179 µs/rev mozilla-try x00000_revs_x00000_added_x000_copies 9b2a99adc05e 8e29777b48e6 : 382065 revs, 25.935037 s, 27.915689 s, +1.980652 s, × 1.0763, 73 µs/rev Differential Revision: https://phab.mercurial-scm.org/D9493

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revlog.rs
496 lines | 16.3 KiB | application/rls-services+xml | RustLexer
// revlog.rs
//
// Copyright 2019-2020 Georges Racinet <georges.racinet@octobus.net>
//
// This software may be used and distributed according to the terms of the
// GNU General Public License version 2 or any later version.
use crate::{
cindex,
utils::{node_from_py_bytes, node_from_py_object},
};
use cpython::{
buffer::{Element, PyBuffer},
exc::{IndexError, ValueError},
ObjectProtocol, PyBytes, PyClone, PyDict, PyErr, PyModule, PyObject,
PyResult, PyString, PyTuple, Python, PythonObject, ToPyObject,
};
use hg::{
nodemap::{Block, NodeMapError, NodeTree},
revlog::{nodemap::NodeMap, RevlogIndex},
NodeError, Revision,
};
use std::cell::RefCell;
/// Return a Struct implementing the Graph trait
pub(crate) fn pyindex_to_graph(
py: Python,
index: PyObject,
) -> PyResult<cindex::Index> {
match index.extract::<MixedIndex>(py) {
Ok(midx) => Ok(midx.clone_cindex(py)),
Err(_) => cindex::Index::new(py, index),
}
}
py_class!(pub class MixedIndex |py| {
data cindex: RefCell<cindex::Index>;
data nt: RefCell<Option<NodeTree>>;
data docket: RefCell<Option<PyObject>>;
// Holds a reference to the mmap'ed persistent nodemap data
data mmap: RefCell<Option<PyBuffer>>;
def __new__(_cls, cindex: PyObject) -> PyResult<MixedIndex> {
Self::new(py, cindex)
}
/// Compatibility layer used for Python consumers needing access to the C index
///
/// Only use case so far is `scmutil.shortesthexnodeidprefix`,
/// that may need to build a custom `nodetree`, based on a specified revset.
/// With a Rust implementation of the nodemap, we will be able to get rid of
/// this, by exposing our own standalone nodemap class,
/// ready to accept `MixedIndex`.
def get_cindex(&self) -> PyResult<PyObject> {
Ok(self.cindex(py).borrow().inner().clone_ref(py))
}
// Index API involving nodemap, as defined in mercurial/pure/parsers.py
/// Return Revision if found, raises a bare `error.RevlogError`
/// in case of ambiguity, same as C version does
def get_rev(&self, node: PyBytes) -> PyResult<Option<Revision>> {
let opt = self.get_nodetree(py)?.borrow();
let nt = opt.as_ref().unwrap();
let idx = &*self.cindex(py).borrow();
let node = node_from_py_bytes(py, &node)?;
nt.find_bin(idx, (&node).into()).map_err(|e| nodemap_error(py, e))
}
/// same as `get_rev()` but raises a bare `error.RevlogError` if node
/// is not found.
///
/// No need to repeat `node` in the exception, `mercurial/revlog.py`
/// will catch and rewrap with it
def rev(&self, node: PyBytes) -> PyResult<Revision> {
self.get_rev(py, node)?.ok_or_else(|| revlog_error(py))
}
/// return True if the node exist in the index
def has_node(&self, node: PyBytes) -> PyResult<bool> {
self.get_rev(py, node).map(|opt| opt.is_some())
}
/// find length of shortest hex nodeid of a binary ID
def shortest(&self, node: PyBytes) -> PyResult<usize> {
let opt = self.get_nodetree(py)?.borrow();
let nt = opt.as_ref().unwrap();
let idx = &*self.cindex(py).borrow();
match nt.unique_prefix_len_node(idx, &node_from_py_bytes(py, &node)?)
{
Ok(Some(l)) => Ok(l),
Ok(None) => Err(revlog_error(py)),
Err(e) => Err(nodemap_error(py, e)),
}
}
def partialmatch(&self, node: PyObject) -> PyResult<Option<PyBytes>> {
let opt = self.get_nodetree(py)?.borrow();
let nt = opt.as_ref().unwrap();
let idx = &*self.cindex(py).borrow();
let node_as_string = if cfg!(feature = "python3-sys") {
node.cast_as::<PyString>(py)?.to_string(py)?.to_string()
}
else {
let node = node.extract::<PyBytes>(py)?;
String::from_utf8_lossy(node.data(py)).to_string()
};
nt.find_hex(idx, &node_as_string)
// TODO make an inner API returning the node directly
.map(|opt| opt.map(
|rev| PyBytes::new(py, idx.node(rev).unwrap().as_bytes())))
.map_err(|e| nodemap_error(py, e))
}
/// append an index entry
def append(&self, tup: PyTuple) -> PyResult<PyObject> {
if tup.len(py) < 8 {
// this is better than the panic promised by tup.get_item()
return Err(
PyErr::new::<IndexError, _>(py, "tuple index out of range"))
}
let node_bytes = tup.get_item(py, 7).extract(py)?;
let node = node_from_py_object(py, &node_bytes)?;
let mut idx = self.cindex(py).borrow_mut();
let rev = idx.len() as Revision;
idx.append(py, tup)?;
self.get_nodetree(py)?.borrow_mut().as_mut().unwrap()
.insert(&*idx, &node, rev)
.map_err(|e| nodemap_error(py, e))?;
Ok(py.None())
}
def __delitem__(&self, key: PyObject) -> PyResult<()> {
// __delitem__ is both for `del idx[r]` and `del idx[r1:r2]`
self.cindex(py).borrow().inner().del_item(py, key)?;
let mut opt = self.get_nodetree(py)?.borrow_mut();
let mut nt = opt.as_mut().unwrap();
nt.invalidate_all();
self.fill_nodemap(py, &mut nt)?;
Ok(())
}
//
// Reforwarded C index API
//
// index_methods (tp_methods). Same ordering as in revlog.c
/// return the gca set of the given revs
def ancestors(&self, *args, **kw) -> PyResult<PyObject> {
self.call_cindex(py, "ancestors", args, kw)
}
/// return the heads of the common ancestors of the given revs
def commonancestorsheads(&self, *args, **kw) -> PyResult<PyObject> {
self.call_cindex(py, "commonancestorsheads", args, kw)
}
/// Clear the index caches and inner py_class data.
/// It is Python's responsibility to call `update_nodemap_data` again.
def clearcaches(&self, *args, **kw) -> PyResult<PyObject> {
self.nt(py).borrow_mut().take();
self.docket(py).borrow_mut().take();
self.mmap(py).borrow_mut().take();
self.call_cindex(py, "clearcaches", args, kw)
}
/// get an index entry
def get(&self, *args, **kw) -> PyResult<PyObject> {
self.call_cindex(py, "get", args, kw)
}
/// compute phases
def computephasesmapsets(&self, *args, **kw) -> PyResult<PyObject> {
self.call_cindex(py, "computephasesmapsets", args, kw)
}
/// reachableroots
def reachableroots2(&self, *args, **kw) -> PyResult<PyObject> {
self.call_cindex(py, "reachableroots2", args, kw)
}
/// get head revisions
def headrevs(&self, *args, **kw) -> PyResult<PyObject> {
self.call_cindex(py, "headrevs", args, kw)
}
/// get filtered head revisions
def headrevsfiltered(&self, *args, **kw) -> PyResult<PyObject> {
self.call_cindex(py, "headrevsfiltered", args, kw)
}
/// True if the object is a snapshot
def issnapshot(&self, *args, **kw) -> PyResult<PyObject> {
self.call_cindex(py, "issnapshot", args, kw)
}
/// Gather snapshot data in a cache dict
def findsnapshots(&self, *args, **kw) -> PyResult<PyObject> {
self.call_cindex(py, "findsnapshots", args, kw)
}
/// determine revisions with deltas to reconstruct fulltext
def deltachain(&self, *args, **kw) -> PyResult<PyObject> {
self.call_cindex(py, "deltachain", args, kw)
}
/// slice planned chunk read to reach a density threshold
def slicechunktodensity(&self, *args, **kw) -> PyResult<PyObject> {
self.call_cindex(py, "slicechunktodensity", args, kw)
}
/// stats for the index
def stats(&self, *args, **kw) -> PyResult<PyObject> {
self.call_cindex(py, "stats", args, kw)
}
// index_sequence_methods and index_mapping_methods.
//
// Since we call back through the high level Python API,
// there's no point making a distinction between index_get
// and index_getitem.
def __len__(&self) -> PyResult<usize> {
self.cindex(py).borrow().inner().len(py)
}
def __getitem__(&self, key: PyObject) -> PyResult<PyObject> {
// this conversion seems needless, but that's actually because
// `index_getitem` does not handle conversion from PyLong,
// which expressions such as [e for e in index] internally use.
// Note that we don't seem to have a direct way to call
// PySequence_GetItem (does the job), which would possibly be better
// for performance
let key = match key.extract::<Revision>(py) {
Ok(rev) => rev.to_py_object(py).into_object(),
Err(_) => key,
};
self.cindex(py).borrow().inner().get_item(py, key)
}
def __setitem__(&self, key: PyObject, value: PyObject) -> PyResult<()> {
self.cindex(py).borrow().inner().set_item(py, key, value)
}
def __contains__(&self, item: PyObject) -> PyResult<bool> {
// ObjectProtocol does not seem to provide contains(), so
// this is an equivalent implementation of the index_contains()
// defined in revlog.c
let cindex = self.cindex(py).borrow();
match item.extract::<Revision>(py) {
Ok(rev) => {
Ok(rev >= -1 && rev < cindex.inner().len(py)? as Revision)
}
Err(_) => {
cindex.inner().call_method(
py,
"has_node",
PyTuple::new(py, &[item]),
None)?
.extract(py)
}
}
}
def nodemap_data_all(&self) -> PyResult<PyBytes> {
self.inner_nodemap_data_all(py)
}
def nodemap_data_incremental(&self) -> PyResult<PyObject> {
self.inner_nodemap_data_incremental(py)
}
def update_nodemap_data(
&self,
docket: PyObject,
nm_data: PyObject
) -> PyResult<PyObject> {
self.inner_update_nodemap_data(py, docket, nm_data)
}
});
impl MixedIndex {
fn new(py: Python, cindex: PyObject) -> PyResult<MixedIndex> {
Self::create_instance(
py,
RefCell::new(cindex::Index::new(py, cindex)?),
RefCell::new(None),
RefCell::new(None),
RefCell::new(None),
)
}
/// This is scaffolding at this point, but it could also become
/// a way to start a persistent nodemap or perform a
/// vacuum / repack operation
fn fill_nodemap(
&self,
py: Python,
nt: &mut NodeTree,
) -> PyResult<PyObject> {
let index = self.cindex(py).borrow();
for r in 0..index.len() {
let rev = r as Revision;
// in this case node() won't ever return None
nt.insert(&*index, index.node(rev).unwrap(), rev)
.map_err(|e| nodemap_error(py, e))?
}
Ok(py.None())
}
fn get_nodetree<'a>(
&'a self,
py: Python<'a>,
) -> PyResult<&'a RefCell<Option<NodeTree>>> {
if self.nt(py).borrow().is_none() {
let readonly = Box::new(Vec::new());
let mut nt = NodeTree::load_bytes(readonly, 0);
self.fill_nodemap(py, &mut nt)?;
self.nt(py).borrow_mut().replace(nt);
}
Ok(self.nt(py))
}
/// forward a method call to the underlying C index
fn call_cindex(
&self,
py: Python,
name: &str,
args: &PyTuple,
kwargs: Option<&PyDict>,
) -> PyResult<PyObject> {
self.cindex(py)
.borrow()
.inner()
.call_method(py, name, args, kwargs)
}
pub fn clone_cindex(&self, py: Python) -> cindex::Index {
self.cindex(py).borrow().clone_ref(py)
}
/// Returns the full nodemap bytes to be written as-is to disk
fn inner_nodemap_data_all(&self, py: Python) -> PyResult<PyBytes> {
let nodemap = self.get_nodetree(py)?.borrow_mut().take().unwrap();
let (readonly, bytes) = nodemap.into_readonly_and_added_bytes();
// If there's anything readonly, we need to build the data again from
// scratch
let bytes = if readonly.len() > 0 {
let mut nt = NodeTree::load_bytes(Box::new(vec![]), 0);
self.fill_nodemap(py, &mut nt)?;
let (readonly, bytes) = nt.into_readonly_and_added_bytes();
assert_eq!(readonly.len(), 0);
bytes
} else {
bytes
};
let bytes = PyBytes::new(py, &bytes);
Ok(bytes)
}
/// Returns the last saved docket along with the size of any changed data
/// (in number of blocks), and said data as bytes.
fn inner_nodemap_data_incremental(
&self,
py: Python,
) -> PyResult<PyObject> {
let docket = self.docket(py).borrow();
let docket = match docket.as_ref() {
Some(d) => d,
None => return Ok(py.None()),
};
let node_tree = self.get_nodetree(py)?.borrow_mut().take().unwrap();
let masked_blocks = node_tree.masked_readonly_blocks();
let (_, data) = node_tree.into_readonly_and_added_bytes();
let changed = masked_blocks * std::mem::size_of::<Block>();
Ok((docket, changed, PyBytes::new(py, &data))
.to_py_object(py)
.into_object())
}
/// Update the nodemap from the new (mmaped) data.
/// The docket is kept as a reference for later incremental calls.
fn inner_update_nodemap_data(
&self,
py: Python,
docket: PyObject,
nm_data: PyObject,
) -> PyResult<PyObject> {
let buf = PyBuffer::get(py, &nm_data)?;
let len = buf.item_count();
// Build a slice from the mmap'ed buffer data
let cbuf = buf.buf_ptr();
let bytes = if std::mem::size_of::<u8>() == buf.item_size()
&& buf.is_c_contiguous()
&& u8::is_compatible_format(buf.format())
{
unsafe { std::slice::from_raw_parts(cbuf as *const u8, len) }
} else {
return Err(PyErr::new::<ValueError, _>(
py,
"Nodemap data buffer has an invalid memory representation"
.to_string(),
));
};
// Keep a reference to the mmap'ed buffer, otherwise we get a dangling
// pointer.
self.mmap(py).borrow_mut().replace(buf);
let mut nt = NodeTree::load_bytes(Box::new(bytes), len);
let data_tip =
docket.getattr(py, "tip_rev")?.extract::<Revision>(py)?;
self.docket(py).borrow_mut().replace(docket.clone_ref(py));
let idx = self.cindex(py).borrow();
let current_tip = idx.len();
for r in (data_tip + 1)..current_tip as Revision {
let rev = r as Revision;
// in this case node() won't ever return None
nt.insert(&*idx, idx.node(rev).unwrap(), rev)
.map_err(|e| nodemap_error(py, e))?
}
*self.nt(py).borrow_mut() = Some(nt);
Ok(py.None())
}
}
fn revlog_error(py: Python) -> PyErr {
match py
.import("mercurial.error")
.and_then(|m| m.get(py, "RevlogError"))
{
Err(e) => e,
Ok(cls) => PyErr::from_instance(py, cls),
}
}
fn rev_not_in_index(py: Python, rev: Revision) -> PyErr {
PyErr::new::<ValueError, _>(
py,
format!(
"Inconsistency: Revision {} found in nodemap \
is not in revlog index",
rev
),
)
}
/// Standard treatment of NodeMapError
fn nodemap_error(py: Python, err: NodeMapError) -> PyErr {
match err {
NodeMapError::MultipleResults => revlog_error(py),
NodeMapError::RevisionNotInIndex(r) => rev_not_in_index(py, r),
NodeMapError::InvalidNodePrefix(s) => invalid_node_prefix(py, &s),
}
}
fn invalid_node_prefix(py: Python, ne: &NodeError) -> PyErr {
PyErr::new::<ValueError, _>(
py,
format!("Invalid node or prefix: {:?}", ne),
)
}
/// Create the module, with __package__ given from parent
pub fn init_module(py: Python, package: &str) -> PyResult<PyModule> {
let dotted_name = &format!("{}.revlog", package);
let m = PyModule::new(py, dotted_name)?;
m.add(py, "__package__", package)?;
m.add(py, "__doc__", "RevLog - Rust implementations")?;
m.add_class::<MixedIndex>(py)?;
let sys = PyModule::import(py, "sys")?;
let sys_modules: PyDict = sys.get(py, "modules")?.extract(py)?;
sys_modules.set_item(py, dotted_name, &m)?;
Ok(m)
}