aboutsummaryrefslogtreecommitdiff
path: root/src/bench/rpc_mempool.cpp
AgeCommit message (Collapse)Author
2023-08-03mempool_entry: add mempool entry sequence numberAnthony Towns
2023-05-09scripted-diff: Remove unused chainparamsbase includesTheCharlatan
This is a follow-up to previous commits moving the chain constants out of chainparamsbase. The script removes the chainparamsbase header in all files where it is included, but not used. This is done by filtering against all defined symbols of the header as well as its respective .cpp file. The kernel chainparams now no longer relies on chainparamsbase. -BEGIN VERIFY SCRIPT- sed -i '/#include <chainparamsbase.h>/d' $( git grep -l 'chainparamsbase.h' | xargs grep -L 'CBaseChainParams\|CreateBaseChainParams\|SetupChainParamsBaseOptions\|BaseParams\|SelectBaseParams\|chainparamsbase.cpp' ) -END VERIFY SCRIPT-
2023-05-09refactor: Replace string chain name constants with ChainTypesTheCharlatan
This commit effectively moves the definition of these constants out of the chainparamsbase to their own file. Using the ChainType enums provides better type safety compared to passing around strings. The commit is part of an ongoing effort to decouple the libbitcoinkernel library from the ArgsManager and other functionality that should not be part of the kernel library.
2023-01-05refactor: add kernel/cs_main.*fanquake
Co-authored-by: Anthony Towns <aj@erisian.com.au>
2022-12-24scripted-diff: Bump copyright headersHennadii Stepanov
-BEGIN VERIFY SCRIPT- ./contrib/devtools/copyright_header.py update ./ -END VERIFY SCRIPT- Commits of previous years: - 2021: f47dda2c58b5d8d623e0e7ff4e74bc352dfa83d7 - 2020: fa0074e2d82928016a43ca408717154a1c70a4db - 2019: aaaaad6ac95b402fe18d019d67897ced6b316ee0
2022-11-30refactor: Move `txmempool_entry.h` --> `kernel/mempool_entry.h`Hennadii Stepanov
2022-11-18Merge bitcoin/bitcoin#17786: refactor: Nuke policy/fees->mempool circular ↵glozow
dependencies c8dc0e3eaa9e0f956c5177bcb69632beb0d51770 refactor: Inline `CTxMemPoolEntry` class's functions (Hennadii Stepanov) 75bbe594e54402ed248ecf2bdfe54e8283d20fff refactor: Move `CTxMemPoolEntry` class to its own module (Hennadii Stepanov) Pull request description: This PR: - gets rid of the `policy/fees` -> `txmempool` -> `policy/fees` circular dependency - is an alternative to #13949, which nukes only one circular dependency ACKs for top commit: ryanofsky: Code review ACK c8dc0e3eaa9e0f956c5177bcb69632beb0d51770. Just include and whitespace changes since last review, and there's a moveonly commit now so it's very easy to review theStack: Code-review ACK c8dc0e3eaa9e0f956c5177bcb69632beb0d51770 glozow: utACK c8dc0e3eaa9e0f956c5177bcb69632beb0d51770, agree these changes are an improvement. Tree-SHA512: 36ece824e6ed3ab1a1e198b30a906c8ac12de24545f840eb046958a17315ac9260c7de26e11e2fbab7208adc3d74918db7a7e389444130f8810548ca2e81af41
2022-11-16refactor: Move `CTxMemPoolEntry` class to its own moduleHennadii Stepanov
This change nukes the policy/fees->mempool circular dependency. Easy to review using `diff --color-moved=dimmed-zebra`.
2022-10-20bench: explicitly make all current benchmarks "high" priorityfurszy
no-functional changes. Only have set the priority level explicitly on every BENCHMARK macro call.
2022-06-15bench/rpc_mempool: Create ChainTestingSetup, use its CTxMemPoolCarl Dong
This is correct because: - The ChainTestingSetup is constructed before the call to bench.run(...) - All the runs are performed on the same mempool
2022-04-04refactor: fix clang-tidy named args usagefanquake
2022-03-11rpc: Move mempool RPCs to new fileMarcoFalke
Can be reviewed with: --color-moved=dimmed-zebra --color-moved-ws=ignore-all-space
2021-12-30scripted-diff: Bump copyright headersHennadii Stepanov
-BEGIN VERIFY SCRIPT- ./contrib/devtools/copyright_header.py update ./ -END VERIFY SCRIPT- Commits of previous years: * 2020: fa0074e2d82928016a43ca408717154a1c70a4db * 2019: aaaaad6ac95b402fe18d019d67897ced6b316ee0
2021-11-17doc: Fix incorrect C++ named argsMarcoFalke
2020-12-31scripted-diff: Bump copyright headersMarcoFalke
-BEGIN VERIFY SCRIPT- ./contrib/devtools/copyright_header.py update ./ -END VERIFY SCRIPT-
2020-06-13Replace current benchmarking framework with nanobenchMartin Ankerl
This replaces the current benchmarking framework with nanobench [1], an MIT licensed single-header benchmarking library, of which I am the autor. This has in my opinion several advantages, especially on Linux: * fast: Running all benchmarks takes ~6 seconds instead of 4m13s on an Intel i7-8700 CPU @ 3.20GHz. * accurate: I ran e.g. the benchmark for SipHash_32b 10 times and calculate standard deviation / mean = coefficient of variation: * 0.57% CV for old benchmarking framework * 0.20% CV for nanobench So the benchmark results with nanobench seem to vary less than with the old framework. * It automatically determines runtime based on clock precision, no need to specify number of evaluations. * measure instructions, cycles, branches, instructions per cycle, branch misses (only Linux, when performance counters are available) * output in markdown table format. * Warn about unstable environment (frequency scaling, turbo, ...) * For better profiling, it is possible to set the environment variable NANOBENCH_ENDLESS to force endless running of a particular benchmark without the need to recompile. This makes it to e.g. run "perf top" and look at hotspots. Here is an example copy & pasted from the terminal output: | ns/byte | byte/s | err% | ins/byte | cyc/byte | IPC | bra/byte | miss% | total | benchmark |--------------------:|--------------------:|--------:|----------------:|----------------:|-------:|---------------:|--------:|----------:|:---------- | 2.52 | 396,529,415.94 | 0.6% | 25.42 | 8.02 | 3.169 | 0.06 | 0.0% | 0.03 | `bench/crypto_hash.cpp RIPEMD160` | 1.87 | 535,161,444.83 | 0.3% | 21.36 | 5.95 | 3.589 | 0.06 | 0.0% | 0.02 | `bench/crypto_hash.cpp SHA1` | 3.22 | 310,344,174.79 | 1.1% | 36.80 | 10.22 | 3.601 | 0.09 | 0.0% | 0.04 | `bench/crypto_hash.cpp SHA256` | 2.01 | 496,375,796.23 | 0.0% | 18.72 | 6.43 | 2.911 | 0.01 | 1.0% | 0.00 | `bench/crypto_hash.cpp SHA256D64_1024` | 7.23 | 138,263,519.35 | 0.1% | 82.66 | 23.11 | 3.577 | 1.63 | 0.1% | 0.00 | `bench/crypto_hash.cpp SHA256_32b` | 3.04 | 328,780,166.40 | 0.3% | 35.82 | 9.69 | 3.696 | 0.03 | 0.0% | 0.03 | `bench/crypto_hash.cpp SHA512` [1] https://github.com/martinus/nanobench * Adds support for asymptotes This adds support to calculate asymptotic complexity of a benchmark. This is similar to #17375, but currently only one asymptote is supported, and I have added support in the benchmark `ComplexMemPool` as an example. Usage is e.g. like this: ``` ./bench_bitcoin -filter=ComplexMemPool -asymptote=25,50,100,200,400,600,800 ``` This runs the benchmark `ComplexMemPool` several times but with different complexityN settings. The benchmark can extract that number and use it accordingly. Here, it's used for `childTxs`. The output is this: | complexityN | ns/op | op/s | err% | ins/op | cyc/op | IPC | total | benchmark |------------:|--------------------:|--------------------:|--------:|----------------:|----------------:|-------:|----------:|:---------- | 25 | 1,064,241.00 | 939.64 | 1.4% | 3,960,279.00 | 2,829,708.00 | 1.400 | 0.01 | `ComplexMemPool` | 50 | 1,579,530.00 | 633.10 | 1.0% | 6,231,810.00 | 4,412,674.00 | 1.412 | 0.02 | `ComplexMemPool` | 100 | 4,022,774.00 | 248.58 | 0.6% | 16,544,406.00 | 11,889,535.00 | 1.392 | 0.04 | `ComplexMemPool` | 200 | 15,390,986.00 | 64.97 | 0.2% | 63,904,254.00 | 47,731,705.00 | 1.339 | 0.17 | `ComplexMemPool` | 400 | 69,394,711.00 | 14.41 | 0.1% | 272,602,461.00 | 219,014,691.00 | 1.245 | 0.76 | `ComplexMemPool` | 600 | 168,977,165.00 | 5.92 | 0.1% | 639,108,082.00 | 535,316,887.00 | 1.194 | 1.86 | `ComplexMemPool` | 800 | 310,109,077.00 | 3.22 | 0.1% |1,149,134,246.00 | 984,620,812.00 | 1.167 | 3.41 | `ComplexMemPool` | coefficient | err% | complexity |--------------:|-------:|------------ | 4.78486e-07 | 4.5% | O(n^2) | 6.38557e-10 | 21.7% | O(n^3) | 3.42338e-05 | 38.0% | O(n log n) | 0.000313914 | 46.9% | O(n) | 0.0129823 | 114.4% | O(log n) | 0.0815055 | 133.8% | O(1) The best fitting curve is O(n^2), so the algorithm seems to scale quadratic with `childTxs` in the range 25 to 800.
2019-10-15Remove unused includespracticalswift
2019-06-02Make reasoning about dependencies easier by not including unused dependenciespracticalswift
2019-02-25bench: Benchmark MempoolToJSONMarcoFalke
generated by cgit v1.2.3 (git 2.26.2) at 2025-03-19 03:05:16 +0000