The current appveyor config is using the VS2019 preview image so the latest prebuilt Qt5.12.11 binaries can be used, see #22224.
Appveyor updated the Visual Studio 2019 image to msbuild v16.10.1 on 14th of June. This is the version used to build the latest Qt binaries and removes the need to use the Appveyor VS2019 preview image.
Tidied up debug and release configuration blocks in common project file to avoid duplication.
Updated appveyor config to use latest Visual Studio 2019 image.
Changed appveyor config file hash to use a new version of Qt pre-compiled binaries built for Visual Studio 2019 v16.8.1.
Bumped vcpkg version to tag '2020.11-1' for binary caching feature.
See #20392 for related discussion.
This fixes the appveyor CI job, see #20066.
Currently the job fails because some of the vcpkg dependencies need to install msys2 and the hardcoded mirror in the vcpkg config is down.
Vcpkg commit 76a7e9248fb3c57350b559966dcaa2d52a5e4458 adds new mirrors to the hardcoded list.
The vcpkg tool has introduced a proper way to use manifests, https://devblogs.microsoft.com/cppblog/vcpkg-accelerate-your-team-development-environment-with-binary-caching-and-manifests/. This PR replaces the custom text file mechanism with the new manifest approach.
It is planned that vckpg manifests will include the ability to version dependencies in the future. Dependency versions would solve a number of issues that currently require workarounds with the appveyor CI.
Set vcpkg manifest version to 1 to avoid any perception it's related to any release or other version numbering.
78c312c983 Replace current benchmarking framework with nanobench (Martin Ankerl)
Pull request description:
Replace current benchmarking framework with nanobench
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
ACKs for top commit:
laanwj:
ACK 78c312c983
Tree-SHA512: 9e18770b18b6f95a7d0105a4a5497d31cf4eb5efe6574f4482f6f1b4c88d7e0946b9a4a1e9e8e6ecbf41a3f2d7571240677dcb45af29a6f0584e89b25f32e49e
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.
fac0c8db9f appveyor: Remove clcache (MarcoFalke)
Pull request description:
The build time without cache seems to be 47 minutes and with cache 46 minutes. Maybe we can save more time by not installing clcache.
Top commit has no ACKs.
Tree-SHA512: ce503641a465f5e49deb7aa6b566aaab5e567148c001704451891c49ba7ade3219ca788bc0d8e55565febb9aadd579e26894f6c03b99755eb8b5d1498acf4dc9
msvc warning C4834 for the Bitcoin Core build was introduced by Visual Studio 16.4.0. This PR adds an ignore rule for the warning (it's related to the nodiscard attribute and is not considered relevant).
An additional side effect of the msvc compiler update is the prebuilt Qt5.9.8 libraries cannot be linked due to being built with an earlier version of the compiler. To fix this a new Qt5.9.8 version has been compiled and the appveyor job updated to use them. The GitHub Actions job needs to continue to use the original Qt5.9.8 libraries until the latest GitHub Windows image also updates to >= Visual Studio 2019 v16.4.
- Update build image from Visual Studio 2017 to Visual Studio 2019.
- Updated Qt static library from Qt5.9.7 to Qt5.9.8.
- Added commands to update vcpkg port files (this does not update already installed packages).
- Updated vcpkg package list as per #17309.
- Removed commands setting common project file options. Now done via common.init.vcxproj include.
- Changed msbuild verbosity from normal to quiet. Normal rights a LOT of logs and impacts appveyor job duration.
Updated msvc project configs:
- Updated platform toolset from v141 to v142.
- Updated Qt static library from Qt5.9.7 to Qt5.9.8.
- Added ignore for linker warning building bitcoin-qt program.
- Added missing util/str.cpp class file to test_bitcoin project file.
d067e81dcf msvc: add rapid check property tests (Chun Kuan Lee)
Pull request description:
This PR add the property tests into the binaries built by MSVC.
And another trivial change is that I reordered the appveyor package list.
Tree-SHA512: 25d66db464beb7b512cc1f88d8557d6a047000a97d78f49884bb91a65ec142e0458039c919f51bf73413359fcf3e63e1ea4d76586b862f1c140d2ca05ee8b23d
ff40357da1 AppVeyor: Move AppVeyor YAML to dot-file-style YAML (Mitchell Cash)
Pull request description:
AppVeyor supports dot-file-style YAML named `.appveyor.yml` as is. This helps keep the root of the repository clean(ish) and readable by having the CI files as dot-files.
Source: https://www.appveyor.com/docs/build-configuration/#yaml-file-alternative-naming
Tree-SHA512: da2a78aff775e5e146f0784b1a6617d0371a5821da8a53be9e4aa57409cb16360f43d0afa5745f81f776599950cab4219a5d7ee7247d42e25861963ea487db66
AppVeyor supports dot-file-style YAML named .appveyor.yml as is. This
helps keep the root of the repository clean(ish) and readable by having
the CI files as dot-files.
