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ci: run MSan on arm64
Add a debug-arm64 matrix entry to the test job that runs the MSan
fuzz tests on an arm64 runner. The arm instrumented libc++ toolchain
(22.1.8) is built against LLVM 22, so this entry installs clang-22
from apt.llvm.org while the existing amd64 entries keep clang-21.

Generalize the test job matrix with runner/arch/llvm_version/msan_url
fields so the runner, apt cache key, LLVM toolchain version, and MSan
toolchain download URL are selected per matrix entry.

Closes #73
2026-08-02 23:28:40 -04:00
2026-08-02 23:28:40 -04:00
2024-03-06 21:22:30 -08:00
2026-07-14 14:33:51 -04:00
2024-08-21 14:00:00 -07:00
2024-08-05 12:20:38 -07:00
2024-04-04 16:29:26 -07:00
2024-11-15 16:49:21 -08:00
2024-02-20 13:22:22 -08:00
2024-01-30 10:39:43 -08:00
2024-08-30 16:06:43 -07:00
2024-09-09 20:10:55 -07:00
2024-11-10 21:47:26 -08:00
2026-08-02 21:16:27 -04:00
2024-11-19 09:02:16 -08:00

A data structure for optimistic concurrency control on ranges of bitwise-lexicographically-ordered keys.

Intended as an alternative to FoundationDB's skip list.

Hardware for all benchmarks is an AMD Ryzen 9 7900 with (2x32GB) 5600MT/s CL28-34-34-89 1.35V RAM.

$ clang++ --version

Ubuntu clang version 21.1.8 (6ubuntu1)
Target: x86_64-pc-linux-gnu
Thread model: posix
InstalledDir: /usr/lib/llvm-21/bin

Microbenchmark

Skip list

ns/op op/s err% ins/op cyc/op IPC bra/op miss% total benchmark
164.29 6,086,873.38 0.0% 3,107.03 604.19 5.142 558.59 0.0% 1.96 point reads
161.05 6,209,395.38 0.1% 3,036.76 592.21 5.128 539.35 0.0% 1.93 prefix reads
239.55 4,174,539.38 0.1% 3,722.71 880.68 4.227 692.00 0.0% 2.86 range reads
354.75 2,818,919.14 0.7% 4,523.64 1,304.75 3.467 720.22 2.0% 4.23 point writes
345.32 2,895,878.47 0.1% 4,484.57 1,270.31 3.530 705.00 1.8% 4.12 prefix writes
193.48 5,168,547.42 0.1% 2,224.10 711.72 3.125 377.17 3.3% 2.32 range writes
404.89 2,469,777.50 2.4% 6,855.96 1,489.70 4.602 1,227.82 1.3% 0.05 monotonic increasing point writes
134,231.80 7,449.80 1.9% 812,045.25 495,770.40 1.638 151,246.50 0.9% 0.01 worst case for radix tree
37.80 26,454,311.17 0.4% 701.00 139.14 5.038 102.00 0.0% 0.01 create and destroy

Radix tree (this implementation)

ns/op op/s err% ins/op cyc/op IPC bra/op miss% total benchmark
12.89 77,565,115.56 0.1% 244.55 47.43 5.155 34.21 0.6% 0.15 point reads
15.11 66,162,047.76 0.1% 297.79 55.60 5.356 43.23 0.4% 0.18 prefix reads
36.29 27,559,358.29 0.1% 783.16 133.44 5.869 109.52 0.2% 0.43 range reads
20.53 48,719,405.55 0.1% 381.81 75.51 5.057 51.04 0.5% 0.25 point writes
39.37 25,402,042.40 0.1% 685.00 144.83 4.730 106.72 0.3% 0.47 prefix writes
43.78 22,843,841.63 0.1% 800.40 161.06 4.970 127.36 0.1% 0.53 range writes
78.37 12,760,008.75 1.0% 1,452.61 288.24 5.040 278.69 0.1% 0.01 monotonic increasing point writes
322,885.50 3,097.07 1.5% 4,362,382.00 1,183,852.00 3.685 765,301.00 0.1% 0.01 worst case for radix tree
99.99 10,000,718.79 0.4% 1,775.00 367.93 4.824 288.00 0.0% 0.01 create and destroy

"Real data" test

Point queries only. Gc ratio is the ratio of time spent doing garbage collection to time spent adding writes or doing garbage collection. Lower is better.

skip list

Check: 4.62967 seconds, 352.195 MB/s, Add: 3.34177 seconds, 167.771 MB/s, Gc ratio: 37.9399%, Peak idle memory: 5.51852e+06

radix tree

Check: 1.00477 seconds, 1622.8 MB/s, Add: 1.21142 seconds, 462.808 MB/s, Gc ratio: 39.4716%, Peak idle memory: 2.0226e+06

hash table

(The hash table implementation doesn't work on range queries, and its purpose is to provide an idea of how fast point queries can be)

Check: 0.854254 seconds, 1908.74 MB/s, Add: 0.632626 seconds, 886.232 MB/s, Gc ratio: 41.0827%, Peak idle memory: 0
S
Description
A data structure for optimistic concurrency control on ranges of bitwise-lexicographically-ordered keys.
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