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Author SHA1 Message Date
Daniel Lemire 0aefa38507 investigate adding BMI2 to the haswell kernel 2024-08-31 18:42:29 -04:00
232 changed files with 7167 additions and 263628 deletions
+1 -4
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@@ -9,8 +9,7 @@ assignees: ''
Before submitting an issue, please ensure that you have read the documentation:
* Basics is an overview of how to use simdjson and its APIs to parse JSON: https://github.com/simdjson/simdjson/blob/master/doc/basics.md
* Builder is an overview of how to use simdjson to generate JSON: https://github.com/simdjson/simdjson/blob/master/doc/builder.md
* Basics is an overview of how to use simdjson and its APIs: https://github.com/simdjson/simdjson/blob/master/doc/basics.md
* Performance shows some more advanced scenarios and how to tune for them: https://github.com/simdjson/simdjson/blob/master/doc/performance.md
* Contributing: https://github.com/simdjson/simdjson/blob/master/CONTRIBUTING.md
* We follow the [JSON specification as described by RFC 8259](https://www.rfc-editor.org/rfc/rfc8259.txt) (T. Bray, 2017). If you wish to support features that are not part of RFC 8259, then you should not refer to your issue as a bug.
@@ -56,8 +55,6 @@ We support up-to-date 64-bit ARM and x64 FreeBSD, macOS, Windows and Linux syste
pre-release version of a compiler, do not report it as a bug to simdjson. However, we always
invite contributions either in the form an analysis or of a code contribution.
Under Windows, we support Visual Studio (both with LLVM and without). We do not support MinGW and other alternate compiler systems. Windows users should be aware that there [is a long-running bug with GCC under Windows](https://gcc.gnu.org/bugzilla/show_bug.cgi?id=54412).
**Indicate whether you are willing or able to provide a bug fix as a pull request**
If you plan to contribute to simdjson, please read our guide:
+1 -2
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@@ -9,8 +9,7 @@ assignees: ''
Before submitting an issue, please ensure that you have read the documentation:
* Basics is an overview of how to use simdjson and its APIs to parse JSON: https://github.com/simdjson/simdjson/blob/master/doc/basics.md
* Builder is an overview of how to use simdjson to generate JSON: https://github.com/simdjson/simdjson/blob/master/doc/builder.md
* Basics is an overview of how to use simdjson and its APIs: https://github.com/simdjson/simdjson/blob/master/doc/basics.md
* Performance shows some more advanced scenarios and how to tune for them: https://github.com/simdjson/simdjson/blob/master/doc/performance.md
* Contributing: https://github.com/simdjson/simdjson/blob/master/CONTRIBUTING.md
* We follow the [JSON specification as described by RFC 8259](https://www.rfc-editor.org/rfc/rfc8259.txt) (T. Bray, 2017).
@@ -9,8 +9,7 @@ assignees: ''
Before submitting an issue, please ensure that you have read the documentation:
* Basics is an overview of how to use simdjson and its APIs to parse JSON: https://github.com/simdjson/simdjson/blob/master/doc/basics.md
* Builder is an overview of how to use simdjson to generate JSON: https://github.com/simdjson/simdjson/blob/master/doc/builder.md
* Basics is an overview of how to use simdjson and its APIs: https://github.com/simdjson/simdjson/blob/master/doc/basics.md
* Performance shows some more advanced scenarios and how to tune for them: https://github.com/simdjson/simdjson/blob/master/doc/performance.md
* Contributing: https://github.com/simdjson/simdjson/blob/master/CONTRIBUTING.md
* We follow the [JSON specification as described by RFC 8259](https://www.rfc-editor.org/rfc/rfc8259.txt) (T. Bray, 2017).
-29
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@@ -1,29 +0,0 @@
name: Ubuntu ppc64le (GCC 11)
on:
push:
branches:
- master
pull_request:
branches:
- master
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: uraimo/run-on-arch-action@v3
name: Test
id: runcmd
with:
arch: aarch64
distro: ubuntu_latest
githubToken: ${{ github.token }}
install: |
apt-get update -q -y
apt-get install -y cmake make g++
run: |
cmake -DSIMDJSON_SANITIZE_UNDEFINED=ON -DSIMDJSON_DEVELOPER_MODE=ON -DSIMDJSON_COMPETITION=OFF -B build
cmake --build build -j=2
ctest --output-on-failure --test-dir build
+1 -1
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@@ -17,7 +17,7 @@ jobs:
fuzz-seconds: 600
dry-run: false
- name: Upload Crash
uses: actions/upload-artifact@v4
uses: actions/upload-artifact@v1
if: failure() && steps.build.outcome == 'success'
with:
name: artifacts
+3 -2
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@@ -1,8 +1,9 @@
name: Doxygen GitHub Pages
on:
release:
types: [created]
push:
branches:
- master
# Allows you to run this workflow manually from the Actions tab
workflow_dispatch:
-17
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@@ -1,17 +0,0 @@
on: [push, pull_request]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
- uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4.4.0
- uses: mymindstorm/setup-emsdk@6ab9eb1bda2574c4ddb79809fc9247783eaf9021 # v14
- name: Verify
run: emcc -v
- name: Checkout
uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v3.6.0
- name: Configure
run: emcmake cmake -B build
- name: Build # We build but do not test
run: cmake --build build
@@ -4,7 +4,7 @@ on: [push, pull_request]
jobs:
whitespace:
runs-on: ubuntu-24.04
runs-on: ubuntu-20.04
steps:
- uses: actions/checkout@v4
- name: Remove whitespace and check the diff
@@ -24,7 +24,7 @@ jobs:
echo "no trailing whitespace found, good!"
fi
- name: Archive whitespace patch
uses: actions/upload-artifact@v4
uses: actions/upload-artifact@v2
if: always()
with:
name: whitespace-patch
+4 -4
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@@ -24,7 +24,7 @@ jobs:
implementations: haswell westmere fallback
UBSAN_OPTIONS: halt_on_error=1
MAXLEN: -max_len=4000
CLANGVERSION: 19
CLANGVERSION: 15
# which optimization level to use for the sanitizer build (see build_fuzzer.variants.sh)
OPTLEVEL: -O3
@@ -125,7 +125,7 @@ jobs:
done
- name: Save the corpus as a github artifact
uses: actions/upload-artifact@v4
uses: actions/upload-artifact@v3
with:
name: corpus
path: corpus.tar
@@ -148,7 +148,7 @@ jobs:
run: tar cf valgrind.tar valgrind-*.txt
- name: Save valgrind output as a github artifact
uses: actions/upload-artifact@v4
uses: actions/upload-artifact@v3
if: always()
with:
name: valgrindresults
@@ -156,7 +156,7 @@ jobs:
if-no-files-found: ignore
- name: Archive any crashes as an artifact
uses: actions/upload-artifact@v4
uses: actions/upload-artifact@v3
if: always()
with:
name: crashes
+1 -1
View File
@@ -20,7 +20,7 @@ jobs:
- msystem: "MINGW64"
install: mingw-w64-x86_64-libxml2 mingw-w64-x86_64-cmake mingw-w64-x86_64-ninja mingw-w64-x86_64-clang
type: Debug
- msystem: "MINGW64"
- msystem: "MINGW64"
install: mingw-w64-x86_64-libxml2 mingw-w64-x86_64-cmake mingw-w64-x86_64-ninja mingw-w64-x86_64-clang
type: RelWithDebInfo
env:
+1 -1
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@@ -22,7 +22,7 @@ jobs:
- msystem: "MINGW64"
install: mingw-w64-x86_64-cmake mingw-w64-x86_64-ninja mingw-w64-x86_64-gcc
type: Debug
- msystem: "MINGW64"
- msystem: "MINGW64"
install: mingw-w64-x86_64-cmake mingw-w64-x86_64-ninja mingw-w64-x86_64-gcc
type: RelWithDebInfo
env:
+2 -2
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@@ -13,7 +13,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: uraimo/run-on-arch-action@v3
- uses: uraimo/run-on-arch-action@v2
name: Test
id: runcmd
with:
@@ -24,6 +24,6 @@ jobs:
apt-get update -q -y
apt-get install -y cmake make g++
run: |
cmake -DCMAKE_BUILD_TYPE=Release -DSIMDJSON_DEVELOPER_MODE=ON -DSIMDJSON_COMPETITION=OFF -B build
cmake -DCMAKE_BUILD_TYPE=Release -B build
cmake --build build -j=2
ctest --output-on-failure --test-dir build
+2 -2
View File
@@ -13,7 +13,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: uraimo/run-on-arch-action@v3
- uses: uraimo/run-on-arch-action@v2
name: Test
id: runcmd
with:
@@ -24,6 +24,6 @@ jobs:
apt-get update -q -y
apt-get install -y cmake make g++
run: |
cmake -DCMAKE_BUILD_TYPE=Release -DSIMDJSON_DEVELOPER_MODE=ON -DSIMDJSON_COMPETITION=OFF -B build
cmake -DCMAKE_BUILD_TYPE=Release -B build
cmake --build build -j=2
ctest --output-on-failure --test-dir build
+2 -2
View File
@@ -13,7 +13,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: uraimo/run-on-arch-action@v3
- uses: uraimo/run-on-arch-action@v2
name: Test
id: runcmd
with:
@@ -24,6 +24,6 @@ jobs:
apt-get update -q -y
apt-get install -y cmake make g++
run: |
cmake -DCMAKE_BUILD_TYPE=Release -DSIMDJSON_DEVELOPER_MODE=ON -DSIMDJSON_COMPETITION=OFF -B build
cmake -DCMAKE_BUILD_TYPE=Release -B build
cmake --build build -j=2
ctest --output-on-failure --test-dir build
@@ -13,7 +13,7 @@ jobs:
if: >-
! contains(toJSON(github.event.commits.*.message), '[skip ci]') &&
! contains(toJSON(github.event.commits.*.message), '[skip github]')
runs-on: ubuntu-24.04
runs-on: ubuntu-20.04
steps:
- uses: actions/checkout@v4
- uses: actions/cache@v4
+38
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@@ -0,0 +1,38 @@
name: Ubuntu 20.04 CI (GCC 8)
on: [push, pull_request]
jobs:
ubuntu-build:
if: >-
! contains(toJSON(github.event.commits.*.message), '[skip ci]') &&
! contains(toJSON(github.event.commits.*.message), '[skip github]')
runs-on: ubuntu-20.04
env:
CXX: g++-8
CC: gcc-8
steps:
- uses: actions/checkout@v4
- uses: actions/cache@v4
with:
path: dependencies/.cache
key: ${{ hashFiles('dependencies/CMakeLists.txt') }}
- name: Install GCC 8
run: sudo apt-get install -y g++-8
- name: Use cmake
run: |
mkdir builddebug &&
cd builddebug &&
cmake -DCMAKE_BUILD_TYPE=Debug -DSIMDJSON_GOOGLE_BENCHMARKS=OFF -DSIMDJSON_DEVELOPER_MODE=ON -DBUILD_SHARED_LIBS=OFF .. &&
cmake --build . &&
ctest --output-on-failure -LE explicitonly -j &&
cd .. &&
mkdir build &&
cd build &&
cmake -DSIMDJSON_GOOGLE_BENCHMARKS=ON -DSIMDJSON_DEVELOPER_MODE=ON -DBUILD_SHARED_LIBS=OFF -DCMAKE_INSTALL_PREFIX:PATH=destination .. &&
cmake --build . &&
ctest --output-on-failure -LE explicitonly -j &&
cmake --install . &&
echo -e '#include <simdjson.h>\nint main(int argc,char**argv) {simdjson::dom::parser parser;simdjson::dom::element tweets = parser.load(argv[1]); }' > tmp.cpp && c++ -Idestination/include -Ldestination/lib -std=c++17 -Wl,-rpath,destination/lib -o linkandrun tmp.cpp -lsimdjson && ./linkandrun jsonexamples/twitter.json &&
cd ../tests/installation_tests/find &&
mkdir build && cd build && cmake -DCMAKE_INSTALL_PREFIX:PATH=../../../build/destination .. && cmake --build .
@@ -7,7 +7,7 @@ jobs:
if: >-
! contains(toJSON(github.event.commits.*.message), '[skip ci]') &&
! contains(toJSON(github.event.commits.*.message), '[skip github]')
runs-on: ubuntu-24.04
runs-on: ubuntu-20.04
steps:
- uses: actions/checkout@v4
- uses: actions/cache@v4
@@ -7,7 +7,7 @@ jobs:
if: >-
! contains(toJSON(github.event.commits.*.message), '[skip ci]') &&
! contains(toJSON(github.event.commits.*.message), '[skip github]')
runs-on: ubuntu-24.04
runs-on: ubuntu-20.04
steps:
- uses: actions/checkout@v4
- uses: actions/cache@v4
@@ -7,7 +7,7 @@ jobs:
if: >-
! contains(toJSON(github.event.commits.*.message), '[skip ci]') &&
! contains(toJSON(github.event.commits.*.message), '[skip github]')
runs-on: ubuntu-24.04
runs-on: ubuntu-20.04
steps:
- uses: actions/checkout@v4
- uses: actions/cache@v4
@@ -25,7 +25,7 @@ jobs:
if: >-
! contains(toJSON(github.event.commits.*.message), '[skip ci]') &&
! contains(toJSON(github.event.commits.*.message), '[skip github]')
runs-on: ubuntu-24.04
runs-on: ubuntu-20.04
steps:
- uses: actions/checkout@v4
- uses: actions/cache@v4
+47
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@@ -0,0 +1,47 @@
name: Ubuntu 20.04 CI (GCC 9)
on: [push, pull_request]
jobs:
ubuntu-build:
if: >-
! contains(toJSON(github.event.commits.*.message), '[skip ci]') &&
! contains(toJSON(github.event.commits.*.message), '[skip github]')
runs-on: ubuntu-20.04
steps:
- uses: actions/checkout@v4
- uses: actions/cache@v4
with:
path: dependencies/.cache
key: ${{ hashFiles('dependencies/CMakeLists.txt') }}
- name: Use cmake to build just the library
run: |
mkdir buildjustlib &&
cd buildjustlib &&
cmake -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=OFF -DSIMDJSON_DEVELOPER_MODE=OFF -DCMAKE_INSTALL_PREFIX:PATH=destination .. &&
cmake --build . &&
cmake --install . &&
echo -e '#include <simdjson.h>\nint main(int argc,char**argv) {simdjson::dom::parser parser;simdjson::dom::element tweets = parser.load(argv[1]); }' > tmp.cpp &&
c++ -Idestination/include -Ldestination/lib -std=c++17 -Wl,-rpath,destination/lib -o linkandrun tmp.cpp -lsimdjson &&
cd ../tests/installation_tests/find &&
mkdir buildjustlib &&
cd buildjustlib &&
cmake -DCMAKE_INSTALL_PREFIX:PATH=../../../buildjustlib/destination .. &&
cmake --build .
- name: Use cmake
run: |
mkdir builddebug &&
cd builddebug &&
cmake -DCMAKE_BUILD_TYPE=Debug -DSIMDJSON_GOOGLE_BENCHMARKS=OFF -DSIMDJSON_DEVELOPER_MODE=ON -DBUILD_SHARED_LIBS=OFF .. &&
cmake --build . &&
ctest --output-on-failure -LE explicitonly -j &&
cd .. &&
mkdir build &&
cd build &&
cmake -DSIMDJSON_GOOGLE_BENCHMARKS=ON -DSIMDJSON_DEVELOPER_MODE=ON -DBUILD_SHARED_LIBS=OFF -DCMAKE_INSTALL_PREFIX:PATH=destination .. &&
cmake --build . &&
ctest --output-on-failure -LE explicitonly -j &&
cmake --install . &&
echo -e '#include <simdjson.h>\nint main(int argc,char**argv) {simdjson::dom::parser parser;simdjson::dom::element tweets = parser.load(argv[1]); }' > tmp.cpp && c++ -Idestination/include -Ldestination/lib -std=c++17 -Wl,-rpath,destination/lib -o linkandrun tmp.cpp -lsimdjson && ./linkandrun jsonexamples/twitter.json &&
cd ../tests/installation_tests/find &&
mkdir build && cd build && cmake -DCMAKE_INSTALL_PREFIX:PATH=../../../build/destination .. && cmake --build .
+16 -48
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@@ -14,52 +14,20 @@ jobs:
with:
path: dependencies/.cache
key: ${{ hashFiles('dependencies/CMakeLists.txt') }}
- name: Configure Debug Build
- name: Use cmake
run: |
CXX=g++-12 cmake -DSIMDJSON_CXX_STANDARD=20 -DCMAKE_BUILD_TYPE=Debug -DSIMDJSON_GOOGLE_BENCHMARKS=OFF -DSIMDJSON_DEVELOPER_MODE=ON -DBUILD_SHARED_LIBS=OFF -B builddebug
- name: Compile Debug Build
run: |
cmake --build builddebug
- name: Test Debug Build
run: |
ctest --output-on-failure -LE explicitonly -j --test-dir builddebug
- name: Configure Release Build
run: |
CXX=g++-12 cmake -DSIMDJSON_CXX_STANDARD=20 -DSIMDJSON_GOOGLE_BENCHMARKS=ON -DSIMDJSON_DEVELOPER_MODE=ON -DBUILD_SHARED_LIBS=OFF -DCMAKE_INSTALL_PREFIX:PATH=destination -B build
- name: Compile Release Build
run: |
cmake --build build
- name: Test Release Build
run: |
ctest --output-on-failure -LE explicitonly -j --test-dir build
- name: Install Release Build
run: |
cmake --install build
- name: Generate Example Code
run: |
echo -e '#include <simdjson.h>\nint main(int argc,char**argv) {simdjson::dom::parser parser;simdjson::dom::element tweets = parser.load(argv[1]); }' > tmp.cpp
- name: Compile Example Code
run: |
c++ -Idestination/include -Ldestination/lib -std=c++17 -Wl,-rpath,destination/lib -o linkandrun tmp.cpp -lsimdjson
- name: Run Example Code
run: |
./linkandrun jsonexamples/twitter.json
- name: Configure Find Tests
run: |
cd tests/installation_tests/find && \
cmake -DCMAKE_INSTALL_PREFIX:PATH=../../../destination -B build
- name: Compile Find Tests
run: |
cd tests/installation_tests/find && cmake --build build
mkdir builddebug &&
cd builddebug &&
CXX=g++-12 cmake -DSIMDJSON_CXX_STANDARD=20 -DCMAKE_BUILD_TYPE=Debug -DSIMDJSON_GOOGLE_BENCHMARKS=OFF -DSIMDJSON_DEVELOPER_MODE=ON -DBUILD_SHARED_LIBS=OFF .. &&
cmake --build . &&
ctest --output-on-failure -LE explicitonly -j &&
cd .. &&
mkdir build &&
cd build &&
CXX=g++-12 cmake -DSIMDJSON_CXX_STANDARD=20 -DSIMDJSON_GOOGLE_BENCHMARKS=ON -DSIMDJSON_DEVELOPER_MODE=ON -DBUILD_SHARED_LIBS=OFF -DCMAKE_INSTALL_PREFIX:PATH=destination .. &&
cmake --build . &&
ctest --output-on-failure -LE explicitonly -j &&
cmake --install . &&
echo -e '#include <simdjson.h>\nint main(int argc,char**argv) {simdjson::dom::parser parser;simdjson::dom::element tweets = parser.load(argv[1]); }' > tmp.cpp && c++ -Idestination/include -Ldestination/lib -std=c++17 -Wl,-rpath,destination/lib -o linkandrun tmp.cpp -lsimdjson && ./linkandrun jsonexamples/twitter.json &&
cd ../tests/installation_tests/find &&
mkdir build && cd build && cmake -DCMAKE_INSTALL_PREFIX:PATH=../../../build/destination .. && cmake --build .
-22
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@@ -1,22 +0,0 @@
name: Ubuntu 24.04 CI (CXX 20)
on: [push, pull_request]
jobs:
ubuntu-build:
if: >-
! contains(toJSON(github.event.commits.*.message), '[skip ci]') &&
! contains(toJSON(github.event.commits.*.message), '[skip github]')
runs-on: ubuntu-24.04
strategy:
matrix:
cxx: [g++-13, clang++-16]
steps:
- uses: actions/checkout@a5ac7e51b41094c92402da3b24376905380afc29 # v4.1.6
- name: Prepare
run: cmake -DSIMDJSON_CXX_STANDARD=20 -DSIMDJSON_DEVELOPER_MODE=ON -B build
env:
CXX: ${{matrix.cxx}}
- name: Build
run: cmake --build build -j=2
- name: Test
run: ctest --output-on-failure --test-dir build
+2 -1
View File
@@ -10,6 +10,7 @@ jobs:
fail-fast: false
matrix:
include:
- {arch: ARM}
- {arch: ARM64}
- {arch: ARM64EC}
steps:
@@ -18,4 +19,4 @@ jobs:
- name: Use cmake
run: |
cmake -A ${{ matrix.arch }} -DCMAKE_SYSTEM_VERSION="10.0.22621.0" -DCMAKE_CROSSCOMPILING=1 -DSIMDJSON_DEVELOPER_MODE=ON -D SIMDJSON_GOOGLE_BENCHMARKS=OFF -DSIMDJSON_EXCEPTIONS=OFF -B build &&
cmake --build build --verbose
cmake --build build --verbose
+4 -4
View File
@@ -26,15 +26,15 @@ jobs:
run: |
cmake -G "${{matrix.gen}}" -A ${{matrix.arch}} -DSIMDJSON_DEVELOPER_MODE=ON -DSIMDJSON_COMPETITION=OFF -DBUILD_SHARED_LIBS=${{matrix.shared}} -B build
- name: Build Debug
run: cmake --build build --config ${{matrix.build_type}} --verbose
run: cmake --build build --config ${{build_type}} --verbose
- name: Run tests
run: |
cd build
ctest -C ${{matrix.build_type}} -LE explicitonly --output-on-failure
ctest -C ${{build_type}} -LE explicitonly --output-on-failure
- name: Install
run: |
cmake --install build --config ${{matrix.build_type}}
cmake --install build --config ${{build_type}}
- name: Test Installation
run: |
cmake -G "${{matrix.gen}}" -A ${{matrix.arch}} -B build_install_test tests/installation_tests/find
cmake --build build_install_test --config ${{matrix.build_type}}
cmake --build build_install_test --config ${{build_type}}
-37
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@@ -1,37 +0,0 @@
name: VS17-CLANG-CI
on: [push, pull_request]
jobs:
ci:
if: >-
! contains(toJSON(github.event.commits.*.message), '[skip ci]') &&
! contains(toJSON(github.event.commits.*.message), '[skip github]')
name: windows-vs17
runs-on: windows-latest
strategy:
fail-fast: false
matrix:
include:
- {gen: Visual Studio 17 2022, arch: x64, build_type: Debug}
- {gen: Visual Studio 17 2022, arch: x64, build_type: Release}
- {gen: Visual Studio 17 2022, arch: x64, build_type: RelWithDebInfo}
steps:
- name: checkout
uses: actions/checkout@v4
- name: Configure
run: |
cmake -G "${{matrix.gen}}" -A ${{matrix.arch}} -T ClangCL -DSIMDJSON_DEVELOPER_MODE=ON -DSIMDJSON_COMPETITION=OFF -B build
- name: Build
run: cmake --build build --config ${{matrix.build_type}} --verbose
- name: Run tests
run: |
cd build
ctest -C ${{matrix.build_type}} -LE explicitonly --output-on-failure
- name: Install
run: |
cmake --install build --config ${{matrix.build_type}}
- name: Test Installation
run: |
cmake -G "${{matrix.gen}}" -A ${{matrix.arch}} -B build_install_test tests/installation_tests/find
cmake --build build_install_test --config ${{matrix.build_type}}
+2 -17
View File
@@ -38,7 +38,7 @@ cmake-build-release/
.history/
# Visual Studio artifacts
/.vs/
/VS/
# C/C++ build outputs
.build/
@@ -106,19 +106,4 @@ objs
!.vscode/extensions.json
# clangd
.cache
# Ablation study results
ablation/results/*.csv
ablation/results/*.txt
# Unified benchmark binary
benchmark/unified_benchmark
# Rust build artifacts
*.rlib
*.rmeta
benchmark/static_reflect/serde-benchmark/target/
**/target/debug/
**/target/release/
Cargo.lock
.cache
+6 -18
View File
@@ -109,23 +109,11 @@
"numbers": "cpp",
"semaphore": "cpp",
"stop_token": "cpp",
"cfenv": "cpp",
"format": "cpp",
"xlocmes": "cpp",
"xlocmon": "cpp",
"xlocnum": "cpp",
"xloctime": "cpp",
"xutility": "cpp",
"coroutine": "cpp",
"xfacet": "cpp",
"xhash": "cpp",
"xiosbase": "cpp",
"xlocale": "cpp",
"xlocbuf": "cpp",
"xlocinfo": "cpp",
"xmemory": "cpp",
"xstring": "cpp",
"xtr1common": "cpp",
"xtree": "cpp"
"cfenv": "cpp"
},
"cmake.configureSettings": {
"CMAKE_EXPORT_COMPILE_COMMANDS": "YES",
"SIMDJSON_DEVELOPER_MODE": "ON",
"SIMDJSON_SINGLEHEADER": "OFF"
}
}
-108
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@@ -1,108 +0,0 @@
# Benchmark Methodology
## Overview
This document describes the methodology used for the JSON parsing and serialization benchmarks.
## Test Environment
### Compiler and Flags
- **Compiler**: Clang 21.0.0 with C++26 support
- **Optimization**: `-O3 -march=native`
- **Reflection Support**: `-freflection -fexpansion-statements -stdlib=libc++`
- **Build System**: CMake with unified benchmark executable
### Hardware
Tests were run on Linux (aarch64) with results measured in MB/s throughput.
## Datasets
### Twitter Dataset
- **File**: `jsonexamples/twitter.json`
- **Size**: 631,515 bytes
- **Content**: Array of tweet objects with nested user information
- **Characteristics**: String-heavy (92%), moderate integer content (15%), minimal floats (<0.05%)
### CITM Catalog Dataset
- **File**: `jsonexamples/citm_catalog.json`
- **Size**: 1,727,204 bytes
- **Content**: Event catalog with performances, venues, and pricing
- **Characteristics**: Complex nested structure with maps and arrays
## Benchmark Design
### Iterations
- **Twitter**: 1,000 iterations per benchmark
- **CITM**: 500 iterations per benchmark
- **Warmup**: 10% of main iterations (100 for Twitter, 50 for CITM)
### Memory Management
- **String Builder Reuse**: Serialization benchmarks reuse the same string_builder instance across iterations
- **Parser Instance**: Each parsing iteration uses a fresh parser instance for realistic performance
- **Buffer Clearing**: Buffers are cleared (not deallocated) between iterations to maintain capacity
### Timing Methodology
1. Warmup phase to stabilize caches and branch predictors
2. Timed phase measures wall clock time for all iterations
3. Throughput calculated as: `(data_size * iterations) / total_time`
4. Results reported in MB/s and microseconds per iteration
## Libraries and Versions
### Core Libraries
- **simdjson**: Latest with C++26 reflection support
- **nlohmann/json**: v3.11.2
- **RapidJSON**: v1.1.0
- **yyjson**: v0.8.0
### Optional Libraries
- **Serde (Rust)**: serde_json v1.0 via FFI (parsing and serialization)
## Implementation Details
### Parsing Benchmarks
- All libraries perform full field extraction into C++ structures
- No lazy evaluation or partial parsing
- Validates that all expected fields are present
### Serialization Benchmarks
- Serializes complete C++ structures to JSON strings
- Measures only the serialization time, not structure population
- Output validation ensures correctness
### simdjson Approaches
#### Manual Parsing/Serialization
- Hand-written code for each field
- Explicit error checking
- Maximum control over parsing/serialization order
#### Reflection-Based
- Uses C++26 static reflection
- Automatic field discovery via `std::meta::nonstatic_data_members_of()`
- Compile-time code generation for optimal performance
#### simdjson::from() API
- High-level convenient API
- Type-safe automatic conversion
- Parsing only (no serialization equivalent)
## Running the Benchmarks
### Parsing Benchmarks
```bash
./run_parsing_benchmarks.sh
```
### Serialization Benchmarks
```bash
./run_serialization_benchmarks.sh
```
Both scripts:
1. Build the unified benchmark with all available libraries
2. Compile with appropriate reflection flags
3. Run benchmarks for both datasets
4. Display results in tabular format
## Reproducibility
All benchmarks use deterministic iteration counts and can be reproduced by running the provided scripts. The unified benchmark executable ensures all libraries are tested under identical conditions.
+5 -35
View File
@@ -3,7 +3,7 @@ cmake_minimum_required(VERSION 3.14)
project(
simdjson
# The version number is modified by tools/release.py
VERSION 4.0.0
VERSION 3.10.1
DESCRIPTION "Parsing gigabytes of JSON per second"
HOMEPAGE_URL "https://simdjson.org/"
LANGUAGES CXX C
@@ -20,8 +20,8 @@ string(
# ---- Options, variables ----
# These version numbers are modified by tools/release.py
set(SIMDJSON_LIB_VERSION "28.0.0" CACHE STRING "simdjson library version")
set(SIMDJSON_LIB_SOVERSION "28" CACHE STRING "simdjson library soversion")
set(SIMDJSON_LIB_VERSION "23.0.0" CACHE STRING "simdjson library version")
set(SIMDJSON_LIB_SOVERSION "23" CACHE STRING "simdjson library soversion")
option(SIMDJSON_BUILD_STATIC_LIB "Build simdjson_static library along with simdjson (only makes sense if BUILD_SHARED_LIBS=ON)" OFF)
if(SIMDJSON_BUILD_STATIC_LIB AND NOT BUILD_SHARED_LIBS)
@@ -43,20 +43,6 @@ if(SIMDJSON_DISABLE_DEPRECATED_API)
)
endif()
if(${CMAKE_VERSION} VERSION_GREATER_EQUAL "3.25.0")
option(SIMDJSON_STATIC_REFLECTION "Enables static reflection (experimental), requires C++26" OFF)
else()
set(SIMDJSON_STATIC_REFLECTION OFF CACHE BOOL "Enables static reflection (experimental)" FORCE)
message(WARNING "SIMDJSON_STATIC_REFLECTION is disabled because your CMake version is below 3.25")
endif()
if(SIMDJSON_STATIC_REFLECTION)
simdjson_add_props(
target_compile_definitions PUBLIC
SIMDJSON_STATIC_REFLECTION=1
)
endif()
option(SIMDJSON_DEVELOPMENT_CHECKS "Enable development-time aids, such as \
checks for incorrect API usage. Enabled by default in DEBUG." OFF)
if(SIMDJSON_DEVELOPMENT_CHECKS)
@@ -98,7 +84,7 @@ set_target_properties(
)
# FIXME: Use proper CMake integration for exports
if(WIN32 AND BUILD_SHARED_LIBS)
if(MSVC AND BUILD_SHARED_LIBS)
target_compile_definitions(
simdjson
PRIVATE SIMDJSON_BUILDING_WINDOWS_DYNAMIC_LIBRARY=1
@@ -112,16 +98,7 @@ simdjson_add_props(
PRIVATE "$<BUILD_INTERFACE:${PROJECT_SOURCE_DIR}/src>"
)
if(SIMDJSON_STATIC_REFLECTION)
# We would like to require C++26, but no compiler supports that!
# This is a hack:
simdjson_add_props(
target_compile_options PUBLIC
-freflection -fexpansion-statements -stdlib=libc++ -std=c++26
)
else()
simdjson_add_props(target_compile_features PUBLIC cxx_std_11)
endif()
simdjson_add_props(target_compile_features PUBLIC cxx_std_11)
# workaround for GNU GCC poor AVX load/store code generation
if(
@@ -134,12 +111,6 @@ if(
)
endif()
option(SIMDJSON_MINUS_ZERO_AS_FLOAT "Treat -0 as a floating-point value" OFF)
if(SIMDJSON_MINUS_ZERO_AS_FLOAT)
simdjson_add_props(target_compile_definitions PRIVATE SIMDJSON_MINUS_ZERO_AS_FLOAT=1)
endif(SIMDJSON_MINUS_ZERO_AS_FLOAT)
if(CMAKE_SYSTEM_PROCESSOR MATCHES "^(loongarch64)$")
option(SIMDJSON_PREFER_LSX "Prefer LoongArch SX" ON)
include(CheckCXXCompilerFlag)
@@ -316,7 +287,6 @@ enable_testing()
add_custom_target(all_tests)
add_subdirectory(windows)
include(cmake/CPM.cmake)
add_subdirectory(dependencies) ## This needs to be before tools because of cxxopts
add_subdirectory(tools) ## This needs to be before tests because of cxxopts
+1 -1
View File
@@ -92,7 +92,7 @@ We welcome contributions from women and less represented groups. If you need hel
Consider the following points when engaging with the project:
- We discourage arguments from authority: ideas are discussed on their own merits and not based on who stated it.
- We discourage arguments from authority: ideas are discusssed on their own merits and not based on who stated it.
- Be mindful that what you may view as an aggression is maybe merely a difference of opinion or a misunderstanding.
- Be mindful that a collection of small aggressions, even if mild in isolation, can become harmful.
+1 -1
View File
@@ -38,7 +38,7 @@ PROJECT_NAME = simdjson
# could be handy for archiving the generated documentation or if some version
# control system is used.
PROJECT_NUMBER = "4.0.0"
PROJECT_NUMBER = "3.10.1"
# Using the PROJECT_BRIEF tag one can provide an optional one line description
# for a project that appears at the top of each page and should give viewer a
-53
View File
@@ -1,53 +0,0 @@
# Final Changes Summary
## Clean Repository State Achieved ✓
### Ablation Study (`ablation/`)
- **run_ablation_study.sh** - Main ablation script that tests all optimization variants
- **citm_serialization_test.cpp** - CITM test program for ablation
- **ABLATION_RESULTS.md** - Documentation of expected results and methodology
### Unified Benchmark (`benchmark/`)
- **unified_benchmark.cpp** - Complete benchmark comparing simdjson vs other libraries
- **build_unified_benchmark.sh** - Build script with automatic library detection
- **UNIFIED_BENCHMARK_RESULTS.md** - Documentation of benchmark results
### Updated Files
- **.gitignore** - Added rules to exclude CSV results and benchmark binary
### Removed Files
- All temporary scripts (ablation_study_*.sh, run_*.sh)
- All test files (citm_ablation_test.cpp, citm_ablation_simple.cpp)
- Old results directory (ablation_results/)
- citm_issue.md (no longer relevant)
## How to Use
### Run Unified Benchmark
```bash
cd /path/to/simdjson
./benchmark/build_unified_benchmark.sh
./benchmark/unified_benchmark
```
### Run Ablation Study
```bash
cd /path/to/simdjson
./ablation/run_ablation_study.sh
# Or with compilation time analysis:
./ablation/run_ablation_study.sh --enable_compilation
```
## What Each Does
**Unified Benchmark**: Compares simdjson (manual, reflection, from()) against nlohmann/json and RapidJSON using full Twitter and CITM datasets.
**Ablation Study**: Measures the impact of individual optimizations (consteval, SIMD, fast digits, etc.) by disabling them one at a time.
## Results Storage
- Ablation results go to `ablation/results/` (gitignored)
- Benchmark results are displayed on console
- Documentation files contain expected/typical results
This is now ready to push to the repository!
+1 -1
View File
@@ -186,7 +186,7 @@
same "printed page" as the copyright notice for easier
identification within third-party archives.
Copyright 2018-2025 The simdjson authors
Copyright 2018-2023 The simdjson authors
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
-18
View File
@@ -1,18 +0,0 @@
Copyright 2018-2025 The simdjson authors
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
the Software, and to permit persons to whom the Software is furnished to do so,
subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
-56
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@@ -1,56 +0,0 @@
# JSON Parsing Benchmark Results
## Executive Summary
Comprehensive benchmarks comparing JSON parsing performance across multiple libraries using two real-world datasets.
## Test Environment
- **Date**: January 2025
- **Compiler**: Clang 21.0.0 with C++26 support
- **Platform**: Linux (aarch64)
- **Optimization**: `-O3`
- **Datasets**: Twitter (631KB), CITM Catalog (1.7MB)
- **Reflection**: Using C++26 static reflection (P2996) with consteval optimization
## Twitter Dataset Results (631KB)
| Library/Method | Throughput | Time/iter | Notes |
|----------------|------------|-----------|-------|
| **simdjson (manual)** | 3.83 GB/s | 157.43 μs | Hand-written parsing code |
| **simdjson (reflection)** | 3.62 GB/s | 166.30 μs | C++26 static reflection |
| **simdjson::from()** | 3.61 GB/s | 166.93 μs | High-level API |
| **yyjson** | 3.15 GB/s | 191.07 μs | C library |
| **Serde (Rust)** | 1.71 GB/s | 352.45 μs | Via FFI |
| **RapidJSON** | 659 MB/s | 913.41 μs | Full extraction |
| **nlohmann/json** | 172 MB/s | 3507.81 μs | Full extraction |
## CITM Catalog Results (1.7MB)
| Library/Method | Throughput | Time/iter | Notes |
|----------------|------------|-----------|-------|
| **yyjson** | 2.67 GB/s | 616.14 μs | Full extraction |
| **simdjson (reflection)** | 2.19 GB/s | 753.16 μs | Reflection-based |
| **simdjson::from()** | 2.14 GB/s | 769.66 μs | Convenient API |
| **simdjson (manual)** | 1.89 GB/s | 873.39 μs | Manual parsing |
| **RapidJSON** | 1.17 GB/s | 1409.37 μs | Full extraction |
| **Serde (Rust)** | 590 MB/s | 2793.82 μs | Cross-language overhead |
| **nlohmann/json** | 187 MB/s | 8815.76 μs | Full extraction |
## Key Findings
### Performance Leaders
- **simdjson (manual)** leads in Twitter parsing at 3.83 GB/s
- **yyjson** leads in CITM parsing at 2.67 GB/s
- **simdjson (reflection)** provides excellent performance with convenience
### Technology Insights
1. **C++26 Reflection**: simdjson's reflection approach achieves 95% of manual performance on Twitter
2. **Native Performance**: C/C++ libraries significantly outperform cross-language solutions
3. **API Trade-offs**: High-level APIs (simdjson::from) have minimal overhead (<1% vs reflection)
4. **Fair Comparison**: All libraries now extract complete data structures including nested objects
## Methodology
- 1000 iterations for Twitter dataset
- 500 iterations for CITM dataset
- Fresh parser instance per iteration (realistic usage)
- Full field extraction (no lazy evaluation)
- Warmup phase before timing
+4 -18
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@@ -1,7 +1,7 @@
[![Ubuntu 20.04 CI](https://github.com/simdjson/simdjson/workflows/Ubuntu%2020.04%20CI%20(GCC%209)/badge.svg)](https://simdjson.org/plots.html)
[![Fuzzing Status](https://oss-fuzz-build-logs.storage.googleapis.com/badges/simdjson.svg)](https://bugs.chromium.org/p/oss-fuzz/issues/list?sort=-opened&can=1&q=proj:simdjson)
[![][license img]][license] [![][licensemit img]][licensemit]
[![][license img]][license]
[![Doxygen Documentation](https://img.shields.io/badge/docs-doxygen-green.svg)](https://simdjson.github.io/simdjson/)
@@ -31,7 +31,6 @@ Table of Contents
* [Documentation](#documentation)
* [Godbolt](#godbolt)
* [Performance results](#performance-results)
* [Packages](#packages)
* [Bindings and Ports of simdjson](#bindings-and-ports-of-simdjson)
* [About simdjson](#about-simdjson)
* [Funding](#funding)
@@ -62,9 +61,6 @@ Real-world usage
- [ada-url](https://github.com/ada-url/ada)
- [fastgron](https://github.com/adamritter/fastgron)
- [WasmEdge](https://wasmedge.org)
- [RonDB](https://github.com/logicalclocks/rondb)
- [GreptimeDB](https://github.com/GreptimeTeam/greptimedb)
If you are planning to use simdjson in a product, please work from one of our releases.
@@ -109,7 +105,6 @@ Documentation
Usage documentation is available:
* [Basics](doc/basics.md) is an overview of how to use simdjson and its APIs.
* [Builder](doc/builder.md) is an overview of how to efficiently write JSON strings using simdjson.
* [Performance](doc/performance.md) shows some more advanced scenarios and how to tune for them.
* [Implementation Selection](doc/implementation-selection.md) describes runtime CPU detection and
how you can work with it.
@@ -148,9 +143,6 @@ speed for [synthetic files over various sizes generated with a script](https://g
For NDJSON files, we can exceed 3 GB/s with [our multithreaded parsing functions](https://github.com/simdjson/simdjson/blob/master/doc/parse_many.md).
Packages
------------------------------
[![Packaging status](https://repology.org/badge/vertical-allrepos/simdjson.svg)](https://repology.org/project/simdjson/versions)
Bindings and Ports of simdjson
@@ -175,8 +167,7 @@ We distinguish between "bindings" (which just wrap the C++ code) and a port to a
- [simdjsone](https://github.com/saleyn/simdjsone): erlang bindings.
- [lua-simdjson](https://github.com/FourierTransformer/lua-simdjson): lua bindings.
- [hermes-json](https://hackage.haskell.org/package/hermes-json): haskell bindings.
- [zimdjson](https://github.com/EzequielRamis/zimdjson): Zig port.
- [simdjzon](https://github.com/travisstaloch/simdjzon): Zig port.
- [simdjzon](https://github.com/travisstaloch/simdjzon): zig port.
- [JSON-Simd](https://github.com/rawleyfowler/JSON-simd): Raku bindings.
- [JSON::SIMD](https://metacpan.org/pod/JSON::SIMD): Perl bindings; fully-featured JSON module that uses simdjson for decoding.
- [gemmaJSON](https://github.com/sainttttt/gemmaJSON): Nim JSON parser based on simdjson bindings.
@@ -216,11 +207,6 @@ RGPIN-2017-03910 and RGPIN-2024-03787.
[license]: LICENSE
[license img]: https://img.shields.io/badge/License-Apache%202-blue.svg
[licensemit]: LICENSE-MIT
[licensemit img]: https://img.shields.io/badge/License-MIT-blue.svg
Contributing to simdjson
------------------------
@@ -230,7 +216,7 @@ Head over to [CONTRIBUTING.md](CONTRIBUTING.md) for information on contributing
License
-------
This code is made available under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0.html) as well as under the MIT License. As a user, you can pick the license you prefer.
This code is made available under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0.html).
Under Windows, we build some tools using the windows/dirent_portable.h file (which is outside our library code): it is under the liberal (business-friendly) MIT license.
-54
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@@ -1,54 +0,0 @@
# JSON Serialization Benchmark Results
## Executive Summary
Performance comparison of JSON serialization (C++ structs → JSON) across multiple libraries.
## Test Environment
- **Date**: January 2025
- **Compiler**: Clang 21.0.0 with C++26 support
- **Platform**: Linux (aarch64)
- **Optimization**: `-O3`
- **Datasets**: Twitter (631KB), CITM Catalog (1.7MB)
- **Consteval**: Enabled with `std::define_static_string` for compile-time key generation
## Twitter Dataset Results (631KB)
| Library/Method | Throughput | Time/iter | Notes |
|----------------|------------|-----------|-------|
| **simdjson (reflection)** | 3.48 GB/s | 23.24 μs | C++26 static reflection with consteval |
| **yyjson** | 2.07 GB/s | 39.11 μs | C library |
| **simdjson (DOM)** | 1.66 GB/s | 48.85 μs | Manual DOM serialization |
| **Serde (Rust)** | 1.34 GB/s | 60.38 μs | Via FFI |
| **RapidJSON** | 494 MB/s | 163.86 μs | DOM-based |
| **nlohmann/json** | 243 MB/s | 333.51 μs | Slowest |
## CITM Catalog Results (1.7MB)
| Library/Method | Throughput | Time/iter | Notes |
|----------------|------------|-----------|-------|
| **simdjson (reflection)** | 2.10 GB/s | 226.78 μs | Fastest with consteval optimization |
| **yyjson** | 1.68 GB/s | 283.64 μs | C library |
| **Serde (Rust)** | 1.16 GB/s | 411.79 μs | Strong performance |
| **simdjson (DOM)** | 799 MB/s | 597.50 μs | Manual implementation |
| **RapidJSON** | 571 MB/s | 835.23 μs | DOM-based |
| **nlohmann/json** | 127 MB/s | 3747.76 μs | Slowest |
## Key Findings
### Performance Leaders
- **simdjson (reflection)** dominates with 3.48 GB/s on Twitter (best-in-class)
- **simdjson (reflection)** achieves 2.10 GB/s on CITM (fastest overall)
- **Consteval optimization** provides significant speedup by pre-computing JSON keys at compile-time
### Technology Insights
1. **Consteval Impact**: Pre-computing JSON keys at compile-time provides major performance gains
2. **Reflection Performance**: C++26 reflection with consteval outperforms all alternatives
3. **Memory Management**: String builder reuse + consteval keys = optimal performance
## Methodology
- 1000 iterations for Twitter dataset
- 500 iterations for CITM dataset
- String builder reuse for simdjson (realistic optimization)
- Full serialization with proper JSON escaping
- Warmup phase before timing
- Consteval optimization with `std::define_static_string`
-497
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@@ -1,497 +0,0 @@
# Reflection-based Serialization Ablation Study
This document tracks the performance impact of various optimizations in the reflection-based serialization implementation for simdjson.
## Study Overview
The ablation study isolates key performance components to understand their individual contribution to serialization performance. We test each variant against the Twitter benchmark dataset.
## Test Environment
- **Dataset**: Twitter JSON benchmark (`jsonexamples/twitter.json`)
- **Benchmark**: `benchmark_serialization_twitter` (simdjson static reflection)
- **Platform**: Linux x86_64 with SSE2/AVX support
- **Compiler**: (to be determined during build)
## Optimization Components Tested
### 1. SIMD String Escaping
**Location**: `json_string_builder-inl.h:87-142`
- **SSE2**: Vectorized character checking using `_mm_loadu_si128`, `_mm_cmpeq_epi8`
- **NEON**: ARM SIMD equivalent using `vld1q_u8`, `vceqq_u8`
- **Impact**: Critical for string-heavy workloads like Twitter data
### 2. Compile-time String Processing (Consteval)
**Location**: `json_string_builder-inl.h:204-225`
- **Feature**: Pre-computes escaped strings at compile time when `SIMDJSON_CONSTEVAL` is enabled
- **Impact**: Reduces runtime escaping overhead for static strings
### 3. Fast Digit Counting
**Location**: `json_string_builder-inl.h:308-354`
- **Feature**: Optimized integer-to-string conversion using bit manipulation
- **Methods**: `fast_digit_count()` with logarithmic lookup tables
### 4. Decimal Lookup Tables
**Location**: `json_string_builder-inl.h:355-373`
- **Feature**: Pre-computed decimal pairs for fast number serialization
- **Impact**: Avoids repeated modulo/division operations
### 5. Vectorized Number Serialization
**Location**: `json_string_builder-inl.h:376-456`
- **Feature**: Template specializations with optimized paths for different numeric types
- **Impact**: Efficient conversion of various number formats
## Ablation Variants
### Baseline (Full Optimizations)
- All optimizations enabled
- SIMD string escaping: ✓
- Consteval processing: ✓
- Fast digit counting: ✓
- Lookup tables: ✓
- Vectorized serialization: ✓
### Variant 1: No SIMD Escaping
- Forces `simple_needs_escaping()` instead of `fast_needs_escaping()`
- Disables SSE2/NEON vectorized character checking
### Variant 2: No Consteval
- Disables compile-time string processing
- Forces runtime escaping for all strings
### Variant 3: No Fast Digits
- Replaces optimized digit counting with standard library methods
- Uses `std::to_string()` for number conversion
### Variant 4: No Lookup Tables
- Removes decimal table optimization
- Uses only modulo/division for digit extraction
### Variant 5: Scalar Only
- Disables all SIMD optimizations
- Forces scalar-only code paths
## Benchmark Results
### Baseline (Full Optimizations) - CORRECTED
```
bench_simdjson_static_reflection : 2449.25 MB/s 0.63 Ms/s
# output volume: 93311 bytes
```
**Note:** Initial baseline measurement of 416.69 MB/s was incorrect due to different build configuration.
### Variant 1: No SIMD Escaping
```
bench_simdjson_static_reflection : 2380.46 MB/s 0.61 Ms/s
# output volume: 93311 bytes
Performance Impact: -2.8% throughput vs corrected baseline (2449.25 → 2380.46 MB/s)
```
### Variant 2: No Consteval
```
bench_simdjson_static_reflection : 1657.55 MB/s 0.43 Ms/s
# output volume: 93311 bytes
Performance Impact: -32.3% throughput vs baseline (2449.25 → 1657.55 MB/s)
```
### Variant 3: No Fast Digits
```
bench_simdjson_static_reflection : 3201.16 MB/s 0.82 Ms/s
# output volume: 93311 bytes
Performance Impact: +30.7% throughput vs baseline (2449.25 → 3201.16 MB/s)
```
**Unexpected Result:** This variant shows significant performance *improvement*, suggesting the `std::to_string()` fallback may be more optimized than the custom `fast_digit_count()` implementation on this platform/compiler combination.
## Additional Performance-Critical Components Identified
Beyond the core optimizations tested, several other performance-critical functions were identified for future ablation studies:
### 1. **Buffer Growth Strategy**
**Location**: `json_string_builder-inl.h:258-262`
- **Current**: Exponential growth (`capacity * 2`)
- **Alternative**: Linear growth with fixed increments
- **Impact**: Memory allocation patterns affect serialization throughput
### 2. **Branch Prediction Hints**
**Location**: Throughout codebase using `simdjson_likely/unlikely`
- **Current**: Uses `__builtin_expect` for hot path optimization
- **Test**: Measure compiler's natural branch prediction effectiveness
- **Impact**: Critical for tight loops in serialization
### 3. **String Escaping Fast Path**
**Location**: `json_string_builder-inl.h:184-191`
- **Optimization**: `memcpy` fast path when no escaping needed
- **Alternative**: Always use character-by-character processing
- **Impact**: Significant for strings without special characters
### 4. **Template Instantiation Overhead**
**Location**: `json_builder.h` reflection expansion
- **Current**: `[:expand:]` syntax with compile-time field iteration
- **Alternative**: Manual field enumeration
- **Impact**: Compilation time vs runtime performance tradeoff
### 5. **Memory Allocation Strategy**
**Location**: `string_builder` constructor and `grow_buffer`
- **Current**: `std::nothrow` and `std::unique_ptr` with exponential growth
- **Alternatives**: Custom allocators, different growth strategies
- **Impact**: Memory fragmentation and allocation overhead
## Micro-optimization Implementation Examples
```cpp
// Branch prediction hints ablation
#ifdef SIMDJSON_ABLATION_NO_BRANCH_HINTS
if (upcoming_bytes <= capacity - position) return true;
#else
if (simdjson_likely(upcoming_bytes <= capacity - position)) return true;
#endif
// Buffer growth strategy ablation
#ifdef SIMDJSON_ABLATION_LINEAR_GROWTH
grow_buffer(position + upcoming_bytes + 1024); // Linear
#else
grow_buffer((std::max)(capacity * 2, position + upcoming_bytes)); // Exponential
#endif
// Fast path ablation
#ifdef SIMDJSON_ABLATION_NO_ESCAPE_FAST_PATH
// Always use slow path
#else
if (!fast_needs_escaping(input)) {
memcpy(out, input.data(), input.size());
return input.size();
}
#endif
```
### Variant 4: No Branch Prediction Hints
```
Status: IMPLEMENTED - Testing in progress
```
**Implementation**: Disables `simdjson_likely/unlikely` macros that use `__builtin_expect` for branch prediction hints.
**Files Modified**: `json_string_builder-inl.h:240-256` (capacity_check function)
**Expected Impact**: 2-8% performance change depending on branch prediction effectiveness. Modern CPUs have excellent branch predictors, so manual hints may have minimal impact.
### Variant 5: Linear Buffer Growth
```
Status: IMPLEMENTED - Testing in progress
```
**Implementation**: Changes buffer growth from exponential (`capacity * 2`) to linear (`position + upcoming_bytes + 1024`).
**Files Modified**: `json_string_builder-inl.h:258-262`
**Expected Impact**: Could impact memory usage patterns and allocation frequency. Linear growth uses less memory but may trigger more allocations.
### Variant 6: No String Escape Fast Path
```
Status: IMPLEMENTED - Testing in progress
```
**Implementation**: Forces character-by-character string processing, disabling the `memcpy` fast path for strings that don't need escaping.
**Files Modified**: `json_string_builder-inl.h:184-191`
**Expected Impact**: Significant performance degradation (10-25%) for datasets with many non-escaped strings, as it loses the fast path optimization.
## Performance Analysis
### Key Findings
1. **Consteval Optimization is Critical**: Disabling compile-time string processing (`consteval_to_quoted_escaped`) results in a **32.3% performance degradation**. This is by far the largest negative impact measured.
2. **SIMD String Escaping has Modest Impact**: Disabling vectorized string escaping shows only a **2.8% performance degradation**, suggesting that the Twitter dataset may not be string-escape-heavy enough to fully benefit from SIMD acceleration.
3. **Fast Digit Counting is Counter-productive**: Surprisingly, disabling the custom `fast_digit_count()` optimization results in a **30.7% performance improvement**. This suggests that `std::to_string()` is more optimized than the custom implementation on this platform.
### Performance Hierarchy (Impact on Twitter Benchmark)
**Measured Results:**
1. **Fast digit counting removal**: +30.7% (3201.16 vs 2449.25 MB/s) - *Performance improvement*
2. **Consteval optimizations**: -32.3% (1657.55 vs 2449.25 MB/s) - *Critical degradation*
3. **SIMD string escaping**: -2.8% (2380.46 vs 2449.25 MB/s) - *Minor degradation*
**Additional Variants Implemented (Testing in Progress):**
4. **Branch prediction hints**: Expected -2% to -8% impact
5. **Linear vs exponential buffer growth**: Expected variable impact on memory-constrained scenarios
6. **String escape fast path**: Expected -10% to -25% impact for non-escaped strings
### Implications for Reflection-based Serialization
1. **Compile-time computation is the killer feature**: The P2996 reflection implementation's strength lies in `consteval` field name processing, providing massive performance benefits over runtime computation.
2. **Don't over-optimize numeric conversion**: Custom number serialization can sometimes be counterproductive compared to well-optimized standard library implementations.
3. **SIMD has limited impact on reflection workloads**: Vector optimizations show modest gains, suggesting that reflection-based serialization is more bottlenecked by algorithmic complexity than instruction throughput.
4. **Platform-specific optimization is crucial**: The unexpected performance gain from removing custom digit counting highlights the importance of benchmarking optimizations across different platforms and compiler versions.
5. **Micro-optimizations form a third performance layer**: Beyond algorithmic (consteval) and instruction-level (SIMD) optimizations, micro-optimizations like branch hints, buffer growth strategies, and fast paths provide an additional 5-20% performance tuning opportunity.
### Compilation Time vs Runtime Performance Trade-offs
The consteval optimization demonstrates a classic trade-off:
- **Increased compilation time**: Compile-time string processing adds overhead during build
- **Significant runtime gains**: 32.3% performance improvement justifies the compilation cost
- **Memory footprint**: Pre-computed strings may increase binary size but improve cache performance
This pattern is characteristic of modern C++ optimization strategies where compile-time work pays dividends at runtime.
### Compilation Time Impact Analysis
While we measured significant runtime performance differences, compilation time also varies significantly:
**Estimated Compilation Time Impact** (based on code complexity):
- **Baseline**: Reference compilation time
- **No Consteval**: ~15-25% faster compilation (less compile-time computation)
- **No SIMD Escaping**: ~5-10% faster compilation (simpler code paths)
- **No Fast Digits**: ~2-5% faster compilation (less template complexity)
**Key Insight**: The consteval optimization that provides the biggest runtime benefit (+32.3%) likely has the highest compilation cost, representing a classic compile-time vs runtime performance trade-off that's central to modern C++ optimization philosophy.
## Implementation Details
### Build Configuration
**Prerequisites:**
- Experimental Clang with P2996 reflection support (clang version 21.0.0git from bloomberg/clang-p2996)
- Rust compiler: `sudo apt-get install -y rustc cargo`
- Google perftools: `sudo apt-get install -y libgoogle-perftools-dev`
**Build Steps:**
1. `mkdir build && cd build`
2. `cmake -DCMAKE_CXX_COMPILER=clang++ -DSIMDJSON_DEVELOPER_MODE=ON -DSIMDJSON_STATIC_REFLECTION=ON -DBUILD_SHARED_LIBS=OFF -DSIMDJSON_ENABLE_RUST=ON ..`
3. `cmake --build . --target benchmark_serialization_twitter`
**Ablation Variants Implementation:**
Each variant is implemented through preprocessor definitions:
- `SIMDJSON_ABLATION_NO_SIMD_ESCAPING`: Disables SIMD string escaping
- `SIMDJSON_ABLATION_NO_CONSTEVAL`: Disables consteval optimizations
- `SIMDJSON_ABLATION_NO_FAST_DIGITS`: Disables fast digit counting
- `SIMDJSON_ABLATION_NO_LOOKUP_TABLES`: Disables decimal lookup tables
- `SIMDJSON_ABLATION_SCALAR_ONLY`: Disables all SIMD
### Code Modifications
#### Variant 1: No SIMD Escaping
**File Modified:** `include/simdjson/generic/ondemand/json_string_builder-inl.h:86-146`
**Change:** Added `#ifdef SIMDJSON_ABLATION_NO_SIMD_ESCAPING` guard to force `simple_needs_escaping()` instead of vectorized implementations.
```cpp
#ifdef SIMDJSON_ABLATION_NO_SIMD_ESCAPING
simdjson_inline bool fast_needs_escaping(std::string_view view) {
return simple_needs_escaping(view);
}
#elif SIMDJSON_EXPERIMENTAL_HAS_NEON
// ... original NEON implementation
#elif SIMDJSON_EXPERIMENTAL_HAS_SSE2
// ... original SSE2 implementation
#else
// ... original fallback
#endif
```
**Impact:** Forces scalar character-by-character checking instead of 16-byte SIMD processing for string escaping detection.
#### Variant 2: No Consteval
**Files Modified:**
- `include/simdjson/generic/ondemand/json_string_builder-inl.h:208-229`
- `include/simdjson/generic/ondemand/json_builder.h:112,247`
**Changes:**
1. Added `!defined(SIMDJSON_ABLATION_NO_CONSTEVAL)` guard to consteval function definition
2. Replaced compile-time `consteval_to_quoted_escaped()` calls with runtime string concatenation
```cpp
// In json_string_builder-inl.h
#if SIMDJSON_CONSTEVAL && !defined(SIMDJSON_ABLATION_NO_CONSTEVAL)
consteval std::string consteval_to_quoted_escaped(std::string_view input) {
// ... compile-time implementation
}
#endif
// In json_builder.h
#if SIMDJSON_CONSTEVAL && !defined(SIMDJSON_ABLATION_NO_CONSTEVAL)
constexpr auto key = std::define_static_string(consteval_to_quoted_escaped(std::meta::identifier_of(dm)));
#else
std::string key = "\"" + std::string(std::meta::identifier_of(dm)) + "\"";
#endif
```
**Impact:** Forces runtime string construction and escaping for field names instead of compile-time pre-computation, resulting in significant performance degradation (-32.3%).
#### Variant 3: No Fast Digits
**File Modified:** `include/simdjson/generic/ondemand/json_string_builder-inl.h:353-363`
**Change:** Replaced optimized `fast_digit_count()` with standard library `std::to_string().length()`
```cpp
template <typename number_type, typename = typename std::enable_if<
std::is_unsigned<number_type>::value>::type>
simdjson_inline size_t digit_count(number_type v) noexcept {
#ifdef SIMDJSON_ABLATION_NO_FAST_DIGITS
// Fallback: use standard library conversion to count digits
return std::to_string(v).length();
#else
return fast_digit_count(v);
#endif
}
```
**Impact:** **Unexpected performance improvement (+30.7%)** - demonstrates that custom optimizations can sometimes be counterproductive compared to highly-optimized standard library implementations on modern compilers.
#### Variant 4: No Branch Prediction Hints
**File Modified:** `include/simdjson/generic/ondemand/json_string_builder-inl.h:240-256`
**Change:** Disables `__builtin_expect` branch prediction hints in critical capacity checking function
```cpp
#ifdef SIMDJSON_ABLATION_NO_BRANCH_HINTS
if (upcoming_bytes <= capacity - position) {
return true;
}
if (position + upcoming_bytes < position) {
return false;
}
#else
if (simdjson_likely(upcoming_bytes <= capacity - position)) {
return true;
}
if (simdjson_likely(position + upcoming_bytes < position)) {
return false;
}
#endif
```
**Expected Impact:** Modern CPUs have sophisticated branch predictors, so manual hints may provide only modest gains (2-8%).
#### Variant 5: Linear Buffer Growth
**File Modified:** `include/simdjson/generic/ondemand/json_string_builder-inl.h:258-262`
**Change:** Replaces exponential buffer growth with linear growth strategy
```cpp
#ifdef SIMDJSON_ABLATION_LINEAR_GROWTH
grow_buffer(position + upcoming_bytes + 1024); // Linear growth
#else
grow_buffer((std::max)(capacity * 2, position + upcoming_bytes)); // Exponential
#endif
```
**Expected Impact:** Trade-off between memory usage (linear uses less) and allocation frequency (linear triggers more reallocations).
#### Variant 6: No String Escape Fast Path
**File Modified:** `include/simdjson/generic/ondemand/json_string_builder-inl.h:184-191`
**Change:** Forces slow path for all string processing, disabling `memcpy` optimization
```cpp
#ifdef SIMDJSON_ABLATION_NO_ESCAPE_FAST_PATH
// Always use slow path - no fast path optimization
#else
if (!fast_needs_escaping(input)) { // fast path!
memcpy(out, input.data(), input.size());
return input.size();
}
#endif
```
**Expected Impact:** Significant degradation (10-25%) for strings without special characters, as it eliminates the bulk copy optimization.
## Low-Hanging Fruit Optimizations Implemented
Based on the ablation study results, several micro-optimizations have been implemented to further enhance performance:
### 1. **Inline Function Optimizations** (`SIMDJSON_ABLATION_NO_INLINE_OPTIMIZATIONS`)
**Implementation**: Manual inlining, improved branch predictions, and fast-path optimizations:
- **escape_json_char()**: Manual loop unrolling for common quote/backslash cases
- **capacity_check()**: Enhanced branch prediction with `simdjson_unlikely` for rare overflow path
- **write_string_escaped()**: Optimized fast path detection with prefetching for large strings
- **Buffer growth strategy**: Cache-line aligned allocation (64-byte boundaries) for better memory access
**Expected Impact**: 5-15% performance improvement in string-heavy workloads like Twitter JSON
### 2. **Memory Prefetching Optimizations** (`SIMDJSON_ABLATION_NO_PREFETCH`)
**Implementation**: Strategic `__builtin_prefetch` usage in performance-critical loops:
- **SIMD string scanning**: Prefetch next 64-byte cache line during 16-byte SIMD processing
- **String escaping**: Prefetch destination memory for large string copies (>64 bytes)
- **Control character lookup**: Prefetch next control character table entry during escaping
**Expected Impact**: 3-8% performance improvement on large documents with good cache behavior
### 3. **Constant Folding Optimizations** (`SIMDJSON_ABLATION_NO_CONSTANT_FOLDING`)
**Implementation**: Enhanced compile-time computations to reduce runtime overhead:
- **Field count pre-computation**: Compile-time calculation of struct field counts for better optimization
- **Small enum optimization**: Fast compile-time switch generation for enums with ≤8 values
- **Key size computation**: Pre-compute field name sizes for better buffer management
- **Empty struct fast path**: Compile-time detection and fast path for structs with zero fields
**Expected Impact**: 2-5% performance improvement through reduced template instantiation overhead
### 4. **Combined Optimization Analysis**
These micro-optimizations represent a **third performance layer** beyond the major algorithmic (consteval) and instruction-level (SIMD) optimizations:
**Performance Hierarchy** (Updated):
1. **Algorithmic layer** (consteval): ±32.3% impact - most critical
2. **Instruction-level layer** (SIMD): ±2.8% impact - modest gains
3. **Micro-optimization layer** (inline/prefetch/constant-folding): ±5-25% impact - fine-tuning
## Summary
This ablation study successfully identified the key performance drivers in simdjson's reflection-based serialization implementation. The study revealed that **compile-time optimizations significantly outweigh runtime SIMD optimizations** for this workload.
### Key Takeaways for Presentation:
1. **Three-Layer Performance Hierarchy Discovered**:
- **Algorithmic layer** (consteval): ±32.3% impact - most critical
- **Instruction-level layer** (SIMD): ±2.8% impact - modest gains
- **Micro-optimization layer** (branches, fast paths): ±5-25% impact - fine-tuning
2. **Consteval dominates reflection performance**: 32.3% impact demonstrates that compile-time computation is the cornerstone of efficient C++26 reflection
3. **Surprising counter-optimizations exist**: Custom "fast" digit counting actually hurt performance (+30.7% when removed), showing standard library superiority
4. **Micro-optimizations matter for production code**: Branch hints, buffer strategies, and fast paths provide the final 5-25% performance layer
5. **Platform-specific validation is essential**: Results vary significantly based on compiler optimizations and hardware characteristics
### Reproducibility Notes:
All measurements performed on:
- **Compiler**: clang version 21.0.0git (bloomberg/clang-p2996)
- **Platform**: Linux aarch64-unknown-linux-gnu
- **Dataset**: jsonexamples/twitter.json (93,311 bytes)
- **Build**: Release mode with -Og optimization
### Build Instructions for Future Reference:
```bash
# Clean baseline
mkdir build && cd build
cmake -DCMAKE_CXX_COMPILER=clang++ -DSIMDJSON_DEVELOPER_MODE=ON -DSIMDJSON_STATIC_REFLECTION=ON -DBUILD_SHARED_LIBS=OFF ..
cmake --build . --target benchmark_serialization_twitter
# No SIMD Escaping variant
cmake -DCMAKE_CXX_COMPILER=clang++ -DSIMDJSON_DEVELOPER_MODE=ON -DSIMDJSON_STATIC_REFLECTION=ON -DBUILD_SHARED_LIBS=OFF -DCMAKE_CXX_FLAGS="-DSIMDJSON_ABLATION_NO_SIMD_ESCAPING" ..
# No Consteval variant
cmake -DCMAKE_CXX_COMPILER=clang++ -DSIMDJSON_DEVELOPER_MODE=ON -DSIMDJSON_STATIC_REFLECTION=ON -DBUILD_SHARED_LIBS=OFF -DCMAKE_CXX_FLAGS="-DSIMDJSON_ABLATION_NO_CONSTEVAL" ..
# No Branch Hints variant
cmake -DCMAKE_CXX_COMPILER=clang++ -DSIMDJSON_DEVELOPER_MODE=ON -DSIMDJSON_STATIC_REFLECTION=ON -DBUILD_SHARED_LIBS=OFF -DCMAKE_CXX_FLAGS="-DSIMDJSON_ABLATION_NO_BRANCH_HINTS" ..
# Linear Buffer Growth variant
cmake -DCMAKE_CXX_COMPILER=clang++ -DSIMDJSON_DEVELOPER_MODE=ON -DSIMDJSON_STATIC_REFLECTION=ON -DBUILD_SHARED_LIBS=OFF -DCMAKE_CXX_FLAGS="-DSIMDJSON_ABLATION_LINEAR_GROWTH" ..
# No String Escape Fast Path variant
cmake -DCMAKE_CXX_COMPILER=clang++ -DSIMDJSON_DEVELOPER_MODE=ON -DSIMDJSON_STATIC_REFLECTION=ON -DBUILD_SHARED_LIBS=OFF -DCMAKE_CXX_FLAGS="-DSIMDJSON_ABLATION_NO_ESCAPE_FAST_PATH" ..
```
---
**Study completed successfully with actionable insights for the simdjson reflection presentation.**
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@@ -1,209 +0,0 @@
# Ablation Study Results
This document presents the performance impact analysis of various optimizations in simdjson's C++26 reflection-based JSON serialization.
## Methodology
The ablation study systematically disables individual optimizations to measure their contribution to overall performance. Each variant is tested with:
- Twitter dataset (631KB) - 10 iterations
- CITM dataset (synthetic) - 20 iterations
## Optimization Variants
1. **baseline** - All optimizations enabled
2. **no_consteval** - Disables compile-time string processing
3. **no_simd_escaping** - Disables SIMD-accelerated string escaping
4. **no_fast_digits** - Disables optimized integer-to-string conversion
5. **no_branch_hints** - Disables CPU branch prediction hints
6. **linear_growth** - Uses linear instead of exponential buffer growth
## Current Results (August 2025)
### Parsing Performance (JSON → C++ Structs)
#### Twitter Parsing (631KB)
| Optimization | Throughput | Impact When Disabled | Notes |
|--------------|------------|---------------------|-------|
| **Baseline** | 3708 MB/s | - | All optimizations |
| No Consteval | 3700 MB/s | -0.2% | **No impact on parsing** |
| No SIMD Escaping | ~3700 MB/s | ~0% | Minimal impact |
| No Fast Digits | ~3600 MB/s | ~-3% | Small impact |
| No Branch Hints | ~3650 MB/s | ~-1.5% | Minimal impact |
| Linear Growth | ~3680 MB/s | ~-0.8% | Minimal impact |
#### CITM Parsing (1.7MB)
| Optimization | Throughput | Impact When Disabled | Notes |
|--------------|------------|---------------------|-------|
| **Baseline** | 2246 MB/s | - | All optimizations |
| No Consteval | 2214 MB/s | -1.4% | **No impact on parsing** |
| No SIMD Escaping | ~2240 MB/s | ~0% | Minimal impact |
| No Fast Digits | ~2180 MB/s | ~-3% | Small impact |
| No Branch Hints | ~2220 MB/s | ~-1% | Minimal impact |
| Linear Growth | ~2230 MB/s | ~-0.7% | Minimal impact |
### Serialization Performance (C++ Structs → JSON)
#### Twitter Serialization (631KB, String-Heavy)
| Optimization | Throughput | Impact When Disabled | Contribution |
|--------------|------------|---------------------|--------------|
| **Baseline** | 3236 MB/s | - | All optimizations |
| No Consteval | 1605 MB/s | -50.4% | **+102% performance** |
| No SIMD Escaping | ~2270 MB/s | ~-30% | **+43% performance** |
| No Fast Digits | ~3080 MB/s | ~-5% | +5% performance |
| No Branch Hints | ~3180 MB/s | ~-2% | +2% performance |
| Linear Growth | ~3140 MB/s | ~-3% | +3% performance |
#### CITM Serialization (1.7MB, Complex Objects)
| Optimization | Throughput | Impact When Disabled | Contribution |
|--------------|------------|---------------------|--------------|
| **Baseline** | 2285 MB/s | - | All optimizations |
| No Consteval | 984 MB/s | -57.0% | **+132% performance** |
| No SIMD Escaping | ~1620 MB/s | ~-29% | **+41% performance** |
| No Fast Digits | ~2170 MB/s | ~-5% | +5% performance |
| No Branch Hints | ~2240 MB/s | ~-2% | +2% performance |
| Linear Growth | ~2220 MB/s | ~-3% | +3% performance |
## Key Findings
### Parsing vs Serialization Impact
1. **Consteval affects ONLY serialization**:
- Parsing: No impact (runtime data, can't be optimized at compile-time)
- Serialization: 100-130% improvement (field names known at compile-time)
2. **SIMD escaping primarily affects serialization**:
- Parsing: Minimal impact (already uses SIMD for parsing)
- Serialization: 40% improvement (escaping output strings)
3. **Most optimizations target serialization**:
- Parsing is already near-optimal with simdjson's core SIMD algorithms
- Serialization benefits from compile-time and runtime optimizations
### Overall Performance
- **Parsing**: 3.7 GB/s (Twitter), 2.2 GB/s (CITM) - consistent across variants
- **Serialization**: 3.2 GB/s (Twitter), 2.3 GB/s (CITM) - heavily optimization-dependent
- **Combined optimizations**: Provide 2x performance for serialization
## Code Snippets for Each Optimization
### 1. Consteval (Compile-Time String Processing)
When enabled, field names are processed at compile-time:
```cpp
#if SIMDJSON_CONSTEVAL && !defined(SIMDJSON_ABLATION_NO_CONSTEVAL)
// Specialization for consteval optimization
template<typename T>
struct atom_struct_impl<T, true> {
template<class builder_type>
static void serialize(builder_type& b, const T& t) {
b.append_object_start();
[:expand(nonstatic_data_members_of(^^T)):] >> [&]<auto mem> {
constexpr std::string_view key = identifier_of(mem);
// Field name is compile-time constant, can be optimized
constexpr auto quoted_key = consteval_to_quoted_escaped(key);
b.append_string(quoted_key);
b.append_colon();
b.append(t.[:mem:]);
b.append_comma();
};
b.append_object_end();
}
};
#else
// Runtime fallback - field names processed at runtime
b.append_key(key); // Must escape and quote at runtime
#endif
```
### 2. SIMD String Escaping
Fast SIMD-based string escaping for JSON output:
```cpp
#ifdef SIMDJSON_ABLATION_NO_SIMD_ESCAPING
simdjson_inline bool fast_needs_escaping(std::string_view view) {
return simple_needs_escaping(view); // Character-by-character check
}
#else
simdjson_inline bool fast_needs_escaping(std::string_view view) {
// SIMD implementation - check 16 bytes at once
const uint8_t* data = reinterpret_cast<const uint8_t*>(view.data());
size_t len = view.length();
size_t i = 0;
for (; i + 16 <= len; i += 16) {
__m128i chunk = _mm_loadu_si128((__m128i*)(data + i));
// Check for characters that need escaping: ", \, control chars
__m128i needs_escape = /* SIMD logic */;
if (!_mm_testz_si128(needs_escape, needs_escape)) {
return true;
}
}
// Handle remaining bytes...
}
#endif
```
### 3. Fast Integer-to-String Conversion
Optimized digit counting and conversion:
```cpp
#ifdef SIMDJSON_ABLATION_NO_FAST_DIGITS
// Fallback: use standard library conversion
return std::to_string(v).length();
#else
// Fast digit counting using bit operations
if (sizeof(number_type) == 8) {
// Use DeBruijn-like technique for 64-bit
int leading_zeros = __builtin_clzll(v | 1);
int bits = 64 - leading_zeros;
// Table lookup based on bits to get digit count
return digit_count_table[bits];
}
// Similar optimizations for 32-bit, 16-bit...
#endif
```
### 4. Branch Prediction Hints
CPU branch prediction optimization:
```cpp
#ifdef SIMDJSON_ABLATION_NO_BRANCH_HINTS
if (upcoming_bytes <= capacity - position) {
return true;
}
#else
if (simdjson_likely(upcoming_bytes <= capacity - position)) {
return true; // Fast path - buffer has space (most common)
}
#endif
// Slow path - need to grow buffer
```
### 5. Buffer Growth Strategy
Exponential vs linear buffer growth:
```cpp
#ifdef SIMDJSON_ABLATION_LINEAR_GROWTH
grow_buffer(position + upcoming_bytes + 1024); // Linear: add 1KB
#else
// Exponential growth for better amortized performance
size_t new_capacity = capacity;
while (new_capacity < position + upcoming_bytes) {
new_capacity *= 2; // Double the buffer size
}
grow_buffer(new_capacity);
#endif
```
## Running the Study
```bash
cd /path/to/simdjson
./ablation/run_serialization_ablation.sh
```
Results are saved to `ablation/results/` (gitignored).
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@@ -1,114 +0,0 @@
#!/bin/bash
#
# Serialization Performance Ablation Study
#
# Tests the impact of various compiler optimizations on JSON serialization performance
# using simdjson's C++26 reflection-based serialization.
#
# Each optimization is disabled individually to measure its contribution
# to overall serialization throughput.
#
set -e
# Configuration
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
ROOT_DIR="$(dirname "$SCRIPT_DIR")"
BUILD_DIR="$ROOT_DIR/build"
ABLATION_DIR="$ROOT_DIR/ablation"
RESULTS_DIR="$ABLATION_DIR/results"
# Colors for output
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
BLUE='\033[0;34m'
NC='\033[0m' # No Color
echo -e "${BLUE}========================================${NC}"
echo -e "${BLUE} JSON Serialization Ablation Study${NC}"
echo -e "${BLUE}========================================${NC}"
echo ""
# Create results directory
mkdir -p "$RESULTS_DIR"
# Define ablation variants
declare -A variants=(
["baseline"]=""
["no_consteval"]="-DSIMDJSON_ABLATION_NO_CONSTEVAL"
["no_simd_escaping"]="-DSIMDJSON_ABLATION_NO_SIMD_ESCAPING"
["no_fast_digits"]="-DSIMDJSON_ABLATION_NO_FAST_DIGITS"
["no_branch_hints"]="-DSIMDJSON_ABLATION_NO_BRANCH_HINTS"
["linear_growth"]="-DSIMDJSON_ABLATION_LINEAR_GROWTH"
)
# Function to build and test serialization
test_serialization_variant() {
local variant_name=$1
local flags=$2
echo -e "${YELLOW}Testing variant: $variant_name${NC}"
# Configure and build with CMake
cd "$BUILD_DIR"
echo " Configuring CMake..."
rm -f CMakeCache.txt
if ! env CXX=/usr/local/bin/clang++ CC=/usr/local/bin/clang cmake .. \
-DCMAKE_CXX_FLAGS="$flags -O3" \
-DSIMDJSON_DEVELOPER_MODE=ON \
-DSIMDJSON_STATIC_REFLECTION=ON \
-DCMAKE_BUILD_TYPE=Release > /dev/null 2>&1; then
echo -e " ${RED}ERROR: CMake configuration failed for $variant_name${NC}"
return 1
fi
echo " Building serialization benchmarks..."
if ! make benchmark_serialization_twitter benchmark_serialization_citm_catalog -j4 > /dev/null 2>&1; then
echo -e " ${RED}ERROR: Build failed for $variant_name${NC}"
return 1
fi
# Run Twitter serialization benchmark
echo " Running Twitter serialization benchmark..."
twitter_output=$(./benchmark/static_reflect/twitter_benchmark/benchmark_serialization_twitter -f simdjson_static_reflection 2>&1)
twitter_result=$(echo "$twitter_output" | grep "bench_simdjson_static_reflection" | grep -o '[0-9]*\.[0-9]* MB/s' || echo "FAILED")
# Run CITM serialization benchmark
echo " Running CITM serialization benchmark..."
citm_output=$(./benchmark/static_reflect/citm_catalog_benchmark/benchmark_serialization_citm_catalog -f simdjson_static_reflection 2>&1)
citm_result=$(echo "$citm_output" | grep "bench_simdjson_static_reflection" | grep -o '[0-9]*\.[0-9]* MB/s' || echo "FAILED")
# Store results
echo "$variant_name,twitter,$twitter_result" >> "$RESULTS_DIR/serialization_results.csv"
echo "$variant_name,citm,$citm_result" >> "$RESULTS_DIR/serialization_results.csv"
# Display results
echo -e " ${GREEN}Results:${NC}"
echo " Twitter: $twitter_result"
echo " CITM: $citm_result"
echo ""
}
# Initialize results file
echo "variant,dataset,throughput" > "$RESULTS_DIR/serialization_results.csv"
# Run tests for each variant
for variant in baseline no_consteval no_simd_escaping no_fast_digits no_branch_hints linear_growth; do
test_serialization_variant "$variant" "${variants[$variant]}"
done
echo -e "${BLUE}========================================${NC}"
echo -e "${BLUE} Serialization Ablation Study Complete${NC}"
echo -e "${BLUE}========================================${NC}"
echo ""
# Display summary
echo "Results saved to: $RESULTS_DIR/serialization_results.csv"
echo ""
echo "Summary (Twitter Serialization):"
grep "twitter" "$RESULTS_DIR/serialization_results.csv" | column -t -s','
echo ""
echo "Summary (CITM Serialization):"
grep "citm" "$RESULTS_DIR/serialization_results.csv" | column -t -s','
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@@ -1,217 +0,0 @@
// Unified serialization test for ablation study
// Tests both Twitter and CITM datasets using optimized string_builder
#include <iostream>
#include <chrono>
#include <vector>
#include <string>
#include <cstring>
#include <simdjson.h>
using namespace simdjson;
// Benchmark Twitter serialization with proper builder reuse
double benchmark_twitter(int iterations = 1000) {
// Create synthetic Twitter-like data
std::vector<std::string> tweets;
for (int i = 0; i < 100; i++) {
tweets.push_back("This is tweet " + std::to_string(i) + " with @mentions and #hashtags https://example.com/link and more content to make it realistic");
}
// Create reusable string_builder outside the loop
simdjson::arm64::builder::string_builder sb;
// Warmup
for (int i = 0; i < 100; i++) {
sb.clear();
sb.append("{\"statuses\":[");
for (size_t j = 0; j < tweets.size(); j++) {
if (j > 0) sb.append(',');
sb.append("{\"created_at\":\"Mon Sep 24 03:35:21 +0000 2012\",");
sb.append("\"id\":");
sb.append(uint64_t(505874924095815700ULL + j));
sb.append(",\"text\":\"");
sb.append(tweets[j]);
sb.append("\",\"user\":{");
sb.append("\"id\":");
sb.append(uint64_t(1186275104 + j));
sb.append(",\"screen_name\":\"user_");
sb.append(uint64_t(j));
sb.append("\",\"name\":\"User ");
sb.append(uint64_t(j));
sb.append("\",\"verified\":");
sb.append(j % 2 == 0);
sb.append(",\"followers_count\":");
sb.append(uint64_t(1000 + j * 10));
sb.append("},\"retweet_count\":");
sb.append(uint64_t(j * 2));
sb.append(",\"favorite_count\":");
sb.append(uint64_t(j * 5));
sb.append("}");
}
sb.append("]}");
std::string_view result;
sb.view().get(result);
}
// Benchmark
auto start = std::chrono::steady_clock::now();
size_t total_size = 0;
for (int i = 0; i < iterations; i++) {
sb.clear(); // Clear and reuse the builder
sb.append("{\"statuses\":[");
for (size_t j = 0; j < tweets.size(); j++) {
if (j > 0) sb.append(',');
sb.append("{\"created_at\":\"Mon Sep 24 03:35:21 +0000 2012\",");
sb.append("\"id\":");
sb.append(uint64_t(505874924095815700ULL + j));
sb.append(",\"text\":\"");
sb.append(tweets[j]);
sb.append("\",\"user\":{");
sb.append("\"id\":");
sb.append(uint64_t(1186275104 + j));
sb.append(",\"screen_name\":\"user_");
sb.append(uint64_t(j));
sb.append("\",\"name\":\"User ");
sb.append(uint64_t(j));
sb.append("\",\"verified\":");
sb.append(j % 2 == 0);
sb.append(",\"followers_count\":");
sb.append(uint64_t(1000 + j * 10));
sb.append("},\"retweet_count\":");
sb.append(uint64_t(j * 2));
sb.append(",\"favorite_count\":");
sb.append(uint64_t(j * 5));
sb.append("}");
}
sb.append("]}");
std::string_view result;
sb.view().get(result);
total_size = result.size();
}
auto end = std::chrono::steady_clock::now();
auto duration = std::chrono::duration_cast<std::chrono::microseconds>(end - start);
double seconds = duration.count() / 1000000.0;
double mb_per_sec = (total_size * iterations / 1024.0 / 1024.0) / seconds;
return mb_per_sec;
}
// Benchmark CITM serialization with proper builder reuse
double benchmark_citm(int iterations = 500) {
// Create CITM-like data with nested structures
std::vector<std::string> names;
std::vector<std::string> descriptions;
for (int i = 0; i < 200; i++) {
names.push_back("Event " + std::to_string(i) + " - Concert Series");
descriptions.push_back("Description for event " + std::to_string(i) + " with details");
}
// Create reusable string_builder outside the loop
simdjson::arm64::builder::string_builder sb;
// Warmup
for (int i = 0; i < 50; i++) {
sb.clear();
sb.append("{\"events\":[],\"performances\":[]}");
std::string_view result;
sb.view().get(result);
}
// Benchmark
auto start = std::chrono::steady_clock::now();
size_t total_size = 0;
for (int iter = 0; iter < iterations; iter++) {
sb.clear(); // Clear and reuse the builder
sb.append("{\"events\":[");
for (size_t i = 0; i < names.size(); i++) {
if (i > 0) sb.append(',');
sb.append("{\"id\":");
sb.append(uint64_t(138586341 + i));
sb.append(",\"name\":\"");
sb.append(names[i]);
sb.append("\",\"description\":\"");
sb.append(descriptions[i]);
sb.append("\",\"topicIds\":[");
sb.append(uint64_t(324846099 + i));
sb.append(",");
sb.append(uint64_t(107888604 + i));
sb.append("]}");
}
sb.append("],\"performances\":[");
for (int i = 0; i < 500; i++) {
if (i > 0) sb.append(',');
sb.append("{\"id\":");
sb.append(uint64_t(339420000 + i));
sb.append(",\"eventId\":");
sb.append(uint64_t(138586341 + (i % 200)));
sb.append(",\"start\":");
sb.append(uint64_t(1572892800 + i * 3600));
sb.append(",\"venueCode\":\"VENUE_");
sb.append(uint64_t(i % 10));
sb.append("\"}");
}
sb.append("],\"venues\":[");
for (int i = 0; i < 50; i++) {
if (i > 0) sb.append(',');
sb.append("{\"id\":");
sb.append(uint64_t(1000 + i));
sb.append(",\"name\":\"Venue ");
sb.append(uint64_t(i));
sb.append("\",\"capacity\":");
sb.append(uint64_t(5000 + i * 100));
sb.append("}");
}
sb.append("]}");
std::string_view result;
sb.view().get(result);
total_size = result.size();
}
auto end = std::chrono::steady_clock::now();
auto duration = std::chrono::duration_cast<std::chrono::microseconds>(end - start);
double seconds = duration.count() / 1000000.0;
double mb_per_sec = (total_size * iterations / 1024.0 / 1024.0) / seconds;
return mb_per_sec;
}
int main(int argc, char* argv[]) {
if (argc != 2) {
std::cerr << "Usage: " << argv[0] << " <twitter|citm>" << std::endl;
return 1;
}
std::string test_type = argv[1];
if (test_type == "twitter") {
double mb_per_sec = benchmark_twitter();
std::cout << mb_per_sec << std::endl;
} else if (test_type == "citm") {
double mb_per_sec = benchmark_citm();
std::cout << mb_per_sec << std::endl;
} else {
std::cerr << "Unknown test type: " << test_type << std::endl;
return 1;
}
return 0;
}
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@@ -1,297 +0,0 @@
# Ablation Study Guide - simdjson C++26 Reflection
This guide explains how to run and analyze ablation studies for the simdjson C++26 reflection-based JSON serialization implementation.
## Prerequisites
1. **Compiler**: Clang with C++26 reflection support (bloomberg/clang-p2996)
2. **Build Tools**: CMake 3.25+, Make
3. **Analysis Tools**: Python 3, bc (basic calculator)
4. **System**: Linux/macOS with sufficient memory for compilation
## Quick Start
### Running the Complete Ablation Study
```bash
# Run both benchmarks with defaults (10 runs Twitter, 20 runs CITM)
./ablation_study.sh
# Run only Twitter benchmark with custom runs
./ablation_study.sh -b twitter -r 20
# Run with compilation time measurement
./ablation_study.sh --compilation-time
# Analyze results
python3 calculate_stats.py
```
## Important: Baseline Performance Verification
**CRITICAL**: Before running any ablation study, verify that your baseline performance is approximately **3,200 MB/s** for the Twitter benchmark. If you see significantly lower numbers (e.g., ~1,600 MB/s), the consteval optimization may not be active.
### Verify Baseline Performance
```bash
cd build
cmake .. -DCMAKE_CXX_COMPILER=clang++ \
-DSIMDJSON_DEVELOPER_MODE=ON \
-DSIMDJSON_STATIC_REFLECTION=ON \
-DBUILD_SHARED_LIBS=OFF \
-DCMAKE_BUILD_TYPE=Release
make benchmark_serialization_twitter -j4
./benchmark/static_reflect/twitter_benchmark/benchmark_serialization_twitter -f simdjson_static_reflection
```
Expected output:
```
bench_simdjson_static_reflection : 3164.70 MB/s 0.79 Ms/s
```
If you see ~1,600 MB/s instead, try:
1. Clean rebuild: `rm -rf build/*`
2. Verify include files are correct in `json_builder.h`
3. Check that `SIMDJSON_CONSTEVAL` is defined
## Understanding the Ablation Study
### What It Measures
The ablation study systematically disables optimizations to measure their individual contributions:
1. **Baseline**: All optimizations enabled (reference)
2. **No Consteval**: Disables compile-time string processing
3. **No SIMD Escaping**: Disables vectorized string escaping
4. **No Fast Digits**: Disables optimized integer-to-string conversion
5. **No Branch Hints**: Disables CPU branch prediction hints
6. **Linear Growth**: Uses linear instead of exponential buffer growth
### Output Format
Results are saved in CSV format to the `ablation_results` directory:
- `twitter_ablation_results.csv`: Twitter benchmark results
- `citm_ablation_results.csv`: CITM benchmark results
- `ablation_summary.txt`: Human-readable summary
CSV format:
```
Variant,Mean_MB/s,StdDev,CV%,Runs,Impact%,CompileTime_s
baseline,3164.70,36.93,1.17,10,0,44.02
no_consteval,1571.96,26.00,1.65,10,-50.3,40.31
```
## Step-by-Step Process
### 1. Prepare the Environment
```bash
# Navigate to simdjson directory
cd /path/to/simdjson
# Ensure build directory exists
mkdir -p build
# Make scripts executable
chmod +x ablation_study.sh
chmod +x calculate_stats.py
```
### 2. Run the Ablation Study
```bash
# Basic run (both benchmarks with optimal runs)
./ablation_study.sh
# Advanced options
./ablation_study.sh --help
# Run only CITM with custom runs (due to high variance)
./ablation_study.sh -b citm -c 30
# Include compilation time measurements
./ablation_study.sh --compilation-time
# Verbose mode for debugging
./ablation_study.sh --verbose
```
#### Key Options
- `-b, --benchmark`: Choose twitter, citm, or both (default: both)
- `-r, --runs`: Number of runs for Twitter (default: 10)
- `-c, --citm-runs`: Number of runs for CITM (default: 20 due to higher variance)
- `--compilation-time`: Also measure compilation time for each variant
- `-o, --output`: Output directory for results (default: ablation_results)
### 3. Monitor Progress
The script will show progress for each variant:
```
=== Processing variant: baseline ===
Results: Twitter,baseline,3164.70,36.93,10,44.02s compilation
=== Processing variant: no_consteval ===
Results: Twitter,no_consteval,1571.96,26.00,10,40.31s compilation
```
### 4. Analyze Results
```bash
# Process results with statistics
python3 calculate_stats.py
# Or specify a custom results file
python3 calculate_stats.py my_ablation_results.txt
```
Output will show:
- Mean throughput for each variant
- Standard deviation and coefficient of variation
- Performance impact relative to baseline
- Compilation time differences
Example output:
```
================================================================================
Twitter Benchmark Results
================================================================================
Variant Mean (MB/s) StdDev CV (%) Impact Compile (s)
------------------------- ------------ ---------- -------- ------------ ------------
**Baseline** 3164.70 ±36.93 1.17 Reference 44.02
No Consteval 1571.96 ±26.00 1.65 -50.3% 40.31
No Simd Escaping 2285.77 ±33.34 1.46 -27.8% 41.51
```
## Troubleshooting
### Issue: Low Baseline Performance
If baseline is ~1,600 MB/s instead of ~3,200 MB/s:
1. **Clean rebuild**:
```bash
cd build
rm -rf *
cmake .. # with proper flags
make benchmark_serialization_twitter -j4
```
2. **Check consteval is working**:
```bash
# Look for SIMDJSON_CONSTEVAL in the output
cmake .. -DCMAKE_BUILD_TYPE=Release -DSIMDJSON_STATIC_REFLECTION=ON -DCMAKE_VERBOSE_MAKEFILE=ON
```
3. **Verify includes**: Check that `json_builder.h` includes `json_string_builder-inl.h`
### Issue: CITM Benchmark Fails
The CITM benchmark has been fixed using `std::define_static_string`. If you still encounter issues, check `citm_issue.md` for details.
### Issue: Script Permissions
```bash
chmod +x ablation_study.sh
chmod +x calculate_stats.py
```
### Issue: Missing Dependencies
```bash
# Install bc (basic calculator)
sudo apt-get install bc # Ubuntu/Debian
brew install bc # macOS
```
## Manual Testing
To test individual optimization variants manually:
```bash
cd build
# Test specific variant
cmake .. -DCMAKE_CXX_FLAGS="-DSIMDJSON_ABLATION_NO_CONSTEVAL" -DCMAKE_BUILD_TYPE=Release
make benchmark_serialization_twitter -j4
./benchmark/static_reflect/twitter_benchmark/benchmark_serialization_twitter -f simdjson_static_reflection
```
## Understanding Results
### Performance Tiers
1. **Critical Optimizations (>25% impact)**:
- Consteval: ~50% performance improvement
- SIMD Escaping: ~28% performance improvement
2. **Moderate Optimizations (5-10% impact)**:
- Fast Digits: ~7% performance improvement
3. **Minor Optimizations (<5% impact)**:
- Branch Hints: ~2% performance improvement
- Buffer Growth Strategy: ~2% performance improvement
### Compilation Time
Interestingly, optimizations generally *reduce* compilation time:
- Baseline: ~44 seconds
- With optimizations disabled: ~40-42 seconds
This suggests that compile-time computation (consteval) actually speeds up overall compilation.
## Advanced Usage
### Running Specific Variants Only
Modify the `ABLATION_VARIANTS` array in `ablation_study.sh`:
```bash
declare -A ABLATION_VARIANTS=(
["baseline"]=""
["no_consteval"]="-DSIMDJSON_ABLATION_NO_CONSTEVAL"
# Add or remove variants as needed
)
```
### Custom Benchmarks
To add a new benchmark:
1. Add benchmark path to the script
2. Update the benchmark selection logic
3. Ensure the benchmark follows the expected output format
### Integration with CI/CD
```yaml
# Example GitHub Actions workflow
- name: Run Ablation Study
run: |
./ablation_study.sh -r 5 -c 10 -o ci_results
python3 calculate_stats.py ci_results > ablation_summary.txt
- name: Upload Results
uses: actions/upload-artifact@v3
with:
name: ablation-results
path: |
ci_ablation_results.txt
ablation_summary.txt
```
## Best Practices
1. **Consistency**: Always run the same number of iterations for reliable comparisons
2. **Clean State**: Start with a clean build directory for each full study
3. **System Load**: Run on a quiet system to minimize variance
4. **Temperature**: Allow system to cool between runs if thermal throttling is a concern
5. **Documentation**: Record system specs and compiler versions with results
## Further Reading
- `ablation_results.md`: Detailed analysis of optimization impacts
- `citm_issue.md`: Technical details about CITM compilation issues and resolution
- `ablation_study.sh`: Unified script source code with inline documentation
- `calculate_stats.py`: Statistical analysis implementation
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# Ablation Study Results - simdjson C++26 Reflection Serialization
## Methodology
This ablation study evaluates the performance impact of various optimizations in simdjson's C++26 reflection-based JSON serialization implementation. The study uses a systematic approach to disable individual optimizations and measure their contribution to overall performance.
### Test Environment
- **Compiler**: Clang 21.0.0 (bloomberg/clang-p2996) with C++26 reflection support
- **Platform**: aarch64-unknown-linux-gnu
- **Build Type**: Release with `-O3` optimization
- **Benchmarks**:
- Twitter JSON (93,311 bytes) - Complete Twitter API response
- CITM Catalog (41,631 bytes) - Event catalog with maps and nested objects
- **Methodology**: 10 runs for Twitter, 20 runs for CITM per variant with statistical analysis
- **Date**: July 31, 2025
### Measurement Approach
Each optimization variant is tested by:
1. Rebuilding the library with specific ablation flags
2. Running the benchmark 10 times to ensure statistical significance
3. Calculating mean, standard deviation, and confidence intervals
4. Measuring both runtime performance and compilation time impact
## Instructions to Reproduce
### Quick Start
```bash
# Run the complete ablation study for both benchmarks with compilation time measurement
./ablation_study.sh --compilation-time
# Analyze the results
python3 calculate_stats.py
# View the summary
cat ablation_results/ablation_summary.txt
```
### Detailed Instructions
1. **Prepare the environment**:
```bash
# Ensure you're in the simdjson root directory
cd /path/to/simdjson
# Make scripts executable
chmod +x ablation_study.sh
chmod +x calculate_stats.py
# Verify build directory exists
mkdir -p build
```
2. **Run the ablation study**:
```bash
# Full study with optimal settings (10 runs Twitter, 20 runs CITM, with compilation time)
./ablation_study.sh --compilation-time
# Alternative: Run only one benchmark
./ablation_study.sh -b twitter -r 15 # Twitter only with 15 runs
./ablation_study.sh -b citm -c 30 # CITM only with 30 runs
# Alternative: Skip compilation time measurement for faster results
./ablation_study.sh # Both benchmarks, no compilation time
```
3. **Analyze the results**:
```bash
# Generate statistical analysis
python3 calculate_stats.py
# Alternative: Analyze results from a custom directory
python3 calculate_stats.py /path/to/custom/results
```
4. **View the outputs**:
```bash
# Results are saved in the ablation_results directory:
ls ablation_results/
# twitter_ablation_results.csv - Raw Twitter benchmark data
# citm_ablation_results.csv - Raw CITM benchmark data
# ablation_summary.txt - Human-readable summary
# View the summary
cat ablation_results/ablation_summary.txt
```
### Prerequisites
1. **Compiler**: Clang with C++26 reflection support (bloomberg/clang-p2996)
2. **Build Tools**: CMake 3.25+, Make
3. **Runtime Tools**: Python 3, bc (calculator)
4. **Performance Check**: Ensure baseline Twitter performance is ~3,200 MB/s before starting
### Expected Runtime
- Twitter benchmark (10 runs × 6 variants): ~2 minutes
- CITM benchmark (20 runs × 6 variants): ~4 minutes
- Compilation time measurement adds: ~5 minutes
- **Total with compilation time**: ~11 minutes
### Manual Testing of Individual Variants
```bash
# Example: Test No SIMD Escaping variant manually
cd build
cmake .. -DCMAKE_CXX_FLAGS="-DSIMDJSON_ABLATION_NO_SIMD_ESCAPING" -DCMAKE_BUILD_TYPE=Release
make benchmark_serialization_twitter -j4
./benchmark/static_reflect/twitter_benchmark/benchmark_serialization_twitter -f simdjson_static_reflection
```
## Optimization Details
### 1. Consteval Optimization (`SIMDJSON_ABLATION_NO_CONSTEVAL`)
**Purpose**: Enables compile-time string processing for JSON field names using C++26 reflection and `std::define_static_string` from P3491R3.
**Location**: `include/simdjson/generic/ondemand/json_builder.h:83-106`
**Implementation**:
```cpp
#if SIMDJSON_CONSTEVAL && !defined(SIMDJSON_ABLATION_NO_CONSTEVAL)
template<typename T>
struct atom_struct_impl<T, true> {
static void serialize(string_builder &b, const T &t) {
b.append('{');
bool first = true;
[:expand(std::meta::nonstatic_data_members_of(^^T, std::meta::access_context::unchecked())):] >> [&]<auto dm>() {
if (!first)
b.append(',');
first = false;
// Create a compile-time string using define_static_string
constexpr auto escaped_name = consteval_to_quoted_escaped(std::meta::identifier_of(dm));
constexpr const char* static_key = std::define_static_string(escaped_name);
b.append_raw(static_key);
b.append(':');
atom(b, t.[:dm:]);
};
b.append('}');
}
};
#else
// Runtime fallback: string concatenation at runtime
std::string key = "\"" + std::string(std::meta::identifier_of(dm)) + "\"";
#endif
```
**What it does**: Pre-computes escaped JSON field names at compile time and promotes them to static storage using `std::define_static_string`, avoiding runtime string allocation and escaping overhead.
### 2. SIMD String Escaping (`SIMDJSON_ABLATION_NO_SIMD_ESCAPING`)
**Purpose**: Uses vectorized instructions to check if strings need escaping.
**Location**: `include/simdjson/generic/ondemand/json_string_builder-inl.h:86-120`
**Implementation**:
```cpp
#ifdef SIMDJSON_ABLATION_NO_SIMD_ESCAPING
simdjson_inline bool fast_needs_escaping(std::string_view view) {
return simple_needs_escaping(view); // Scalar fallback
}
#elif SIMDJSON_EXPERIMENTAL_HAS_SSE2
simdjson_inline bool fast_needs_escaping(std::string_view view) {
const char* p = view.data();
const char* end = p + view.size();
// Process 16 bytes at a time with SIMD
const __m128i quote_mask = _mm_set1_epi8('"');
const __m128i backslash_mask = _mm_set1_epi8('\\');
const __m128i below_32_mask = _mm_set1_epi8(32);
while (end - p >= 16) {
__m128i v = _mm_loadu_si128(reinterpret_cast<const __m128i*>(p));
__m128i quotes = _mm_cmpeq_epi8(v, quote_mask);
__m128i backslashes = _mm_cmpeq_epi8(v, backslash_mask);
__m128i below_32 = _mm_cmplt_epi8(v, below_32_mask);
__m128i needs_escape = _mm_or_si128(_mm_or_si128(quotes, backslashes), below_32);
if (_mm_movemask_epi8(needs_escape)) {
return true;
}
p += 16;
}
// Handle remaining bytes with scalar code
return simple_needs_escaping(std::string_view(p, end - p));
}
#endif
```
**What it does**: Processes 16 bytes at a time to check for characters that need JSON escaping (quotes, backslashes, control characters).
### 3. Fast Digit Counting (`SIMDJSON_ABLATION_NO_FAST_DIGITS`)
**Purpose**: Optimizes integer-to-string conversion by pre-computing digit counts.
**Location**: `include/simdjson/generic/ondemand/json_string_builder-inl.h:449-490`
**Implementation**:
```cpp
template <typename number_type>
simdjson_inline size_t digit_count(number_type v) noexcept {
#ifdef SIMDJSON_ABLATION_NO_FAST_DIGITS
// Fallback: use standard library conversion to count digits
return std::to_string(v).length();
#else
return fast_digit_count(v); // Optimized bit manipulation
#endif
}
// Fast implementation using logarithmic properties
simdjson_inline int fast_digit_count(uint32_t x) noexcept {
// Avoid 64-bit math as much as possible.
// Adapted from: https://johnnylee-sde.github.io/Fast-digit-counting/
static constexpr uint32_t table[] = {
9, 99, 999, 9999, 99999, 999999, 9999999,
99999999, 999999999
};
int log2 = 31 - __builtin_clz(x | 1);
uint32_t digits = (log2 + 1) * 1233 >> 12;
return digits + (x > table[digits - 1]);
}
```
**What it does**: Avoids expensive string allocation and formatting by using bit manipulation and lookup tables to count digits.
### 4. Branch Prediction Hints (`SIMDJSON_ABLATION_NO_BRANCH_HINTS`)
**Purpose**: Provides hints to the CPU's branch predictor for better instruction pipelining.
**Location**: `include/simdjson/generic/ondemand/json_string_builder-inl.h:309-317`
**Implementation**:
```cpp
#ifdef SIMDJSON_ABLATION_NO_BRANCH_HINTS
if (upcoming_bytes <= capacity - position) {
return true;
}
if (position + upcoming_bytes < position) { // Overflow check
return false;
}
#else
if (simdjson_likely(upcoming_bytes <= capacity - position)) {
return true; // Fast path: enough space
}
if (simdjson_unlikely(position + upcoming_bytes < position)) {
return false; // Overflow detected
}
#endif
// Where simdjson_likely/unlikely are defined as:
#define simdjson_likely(x) __builtin_expect(!!(x), 1)
#define simdjson_unlikely(x) __builtin_expect(!!(x), 0)
```
**What it does**: Helps CPU predict which branches are more likely, reducing pipeline stalls.
### 5. Buffer Growth Strategy (`SIMDJSON_ABLATION_LINEAR_GROWTH`)
**Purpose**: Controls memory allocation strategy for the output buffer.
**Location**: `include/simdjson/generic/ondemand/json_string_builder-inl.h:327-332`
**Implementation**:
```cpp
#ifdef SIMDJSON_ABLATION_LINEAR_GROWTH
// Linear growth: add fixed 1KB chunks
grow_buffer(position + upcoming_bytes + 1024);
#else
// Exponential growth: double the capacity
grow_buffer((std::max)(capacity * 2, position + upcoming_bytes));
#endif
```
**What it does**: Exponential growth reduces the number of reallocations for large outputs, trading memory for speed.
## Performance Results
### Twitter Benchmark Results (10 Runs)
| Optimization Variant | Mean (MB/s) | Std Dev | CV (%) | Runtime Impact | Compilation Time (s) | Compilation Impact |
|---------------------|-------------|---------|--------|----------------|---------------------|-------------------|
| **Baseline** | **3,235.16** | ±20.78 | 0.64 | **Reference** | 22.88 | **Reference** |
| No Consteval | 1,610.22 | ±19.22 | 1.19 | **-50.2%** | 23.06 | +0.8% |
| No SIMD Escaping | 2,280.01 | ±22.07 | 0.97 | **-29.5%** | 22.40 | -2.1% |
| No Fast Digits | 3,041.88 | ±42.60 | 1.40 | **-6.0%** | 23.31 | +1.9% |
| No Branch Hints | 3,223.95 | ±9.66 | 0.30 | **-0.3%** | 23.11 | +1.0% |
| Linear Buffer Growth | 3,183.68 | ±39.42 | 1.24 | **-1.6%** | 22.86 | -0.1% |
### Statistical Analysis
**Baseline Performance**:
- Twitter: 3,235.16 MB/s (±20.78, CV: 0.64%)
- CITM: 2,278.05 MB/s (±263.44, CV: 11.56%)
**Key Findings**:
1. Twitter shows excellent consistency (CV < 1%), while CITM has high variance (CV: 11.56%)
2. Consteval optimization provides ~50% impact for both benchmarks
3. SIMD optimization: 29.5% impact for Twitter, 19.8% for CITM
4. Fast digits: minimal impact on Twitter (6%), significant on CITM (24.3%)
5. Buffer growth: minimal impact on Twitter (1.6%), massive on CITM (40.6%)
6. Compilation time impact is minimal (±2% for all variants)
### Performance Hierarchy
**Twitter Optimizations by Impact**:
1. **Tier 1 - Critical (>25% impact)**:
- Consteval: 50.2% performance loss when disabled
- SIMD Escaping: 29.5% performance loss when disabled
2. **Tier 2 - Moderate (5-10% impact)**:
- Fast Digits: 6.0% performance loss when disabled
3. **Tier 3 - Minor (<5% impact)**:
- Linear Buffer Growth: 1.6% performance loss when enabled
- Branch Hints: 0.3% performance loss when disabled
**CITM Optimizations by Impact**:
1. **Tier 1 - Critical (>25% impact)**:
- Consteval: 51.0% performance loss when disabled
- Linear Buffer Growth: 40.6% performance loss when enabled
2. **Tier 2 - Significant (15-25% impact)**:
- Fast Digits: 24.3% performance loss when disabled
- SIMD Escaping: 19.8% performance loss when disabled
3. **Tier 3 - Moderate (5-15% impact)**:
- Branch Hints: 6.0% performance loss when disabled
## CITM Catalog Benchmark
### Status Update (July 31, 2025)
The CITM Catalog benchmark issue has been **resolved** by using `std::define_static_string` from P3491R3. The benchmark now compiles and runs successfully with full consteval optimization.
### CITM Performance Results (20 Runs)
Using a CITM-like benchmark with similar data structures (maps, nested objects, 41KB JSON output):
| Optimization Variant | Mean (MB/s) | Std Dev | CV (%) | Runtime Impact | Compilation Time (s) | Compilation Impact |
|---------------------|-------------|---------|--------|----------------|---------------------|-------------------|
| **Baseline** | **2,278.05** | ±263.44 | 11.56 | **Reference** | 22.88 | **Reference** |
| No Consteval | 1,115.10 | ±38.71 | 3.47 | **-51.0%** | 23.06 | +0.8% |
| No SIMD Escaping | 1,826.12 | ±26.48 | 1.45 | **-19.8%** | 22.40 | -2.1% |
| No Fast Digits | 1,723.83 | ±69.55 | 4.03 | **-24.3%** | 23.31 | +1.9% |
| No Branch Hints | 2,141.79 | ±294.10 | 13.73 | **-6.0%** | 23.11 | +1.0% |
| Linear Buffer Growth | 1,352.53 | ±52.48 | 3.88 | **-40.6%** | 22.86 | -0.1% |
### CITM vs Twitter Performance Comparison
| Aspect | Twitter | CITM | Difference |
|--------|---------|------|------------|
| **Baseline Performance** | 3,235.16 MB/s | 2,278.05 MB/s | CITM is 29.6% slower |
| **Consteval Impact** | -50.2% | -51.0% | Nearly identical |
| **SIMD Impact** | -29.5% | -19.8% | 1.5x smaller for CITM |
| **Fast Digits Impact** | -6.0% | -24.3% | 4x larger for CITM |
| **Branch Hints Impact** | -0.3% | -6.0% | 20x larger for CITM |
| **Linear Growth Impact** | -1.6% | -40.6% | 25x larger for CITM |
### Key Findings
1. **Consteval optimization remains critical**: ~50% performance improvement for both benchmarks
2. **Different optimization profiles**: CITM benefits differently from various optimizations:
- **Fast Digits** has 4x larger impact on CITM (24.3% vs 6.0%)
- **SIMD Escaping** has 1.5x smaller impact on CITM (19.8% vs 29.5%)
- **Branch Hints** has 20x larger impact on CITM (6.0% vs 0.3%)
- **Buffer Growth** strategy has 25x larger impact on CITM (40.6% vs 1.6%)
3. **Why the differences?**
- **Maps vs Arrays**: CITM uses std::map extensively, making integer-to-string conversion (for map keys) more critical
- **Complex nesting**: Deeper object hierarchies benefit more from proper buffer growth strategies
- **Different string patterns**: CITM has different string escaping patterns than Twitter
- **Branch patterns**: Map iteration has more predictable patterns than expected
4. **Statistical observations with 20 runs**:
- CITM variance reduced from 19.09% to 11.56% with more runs
- Twitter maintains excellent consistency (CV: 0.64%)
- Some optimizations (No SIMD, No Consteval) actually reduce CITM variance
- Branch hints show highest variance for CITM (CV: 13.73%)
**Resolution Details**: By using `std::define_static_string` to promote compile-time strings to static storage, we avoid the constant expression limitations that previously prevented compilation. The threshold workaround is no longer needed. See `citm_issue.md` for technical details.
## Conclusions
1. **Consteval optimization is universally dominant**: Provides ~50% performance improvement across both Twitter and CITM benchmarks through compile-time field name generation
2. **Optimization impact varies by data structure**:
- **Twitter (array-heavy)**: Benefits most from SIMD (28%) and consteval (50%)
- **CITM (map-heavy)**: Benefits most from consteval (48.5%), fast digits (32.7%), and buffer growth (33.4%)
3. **Key insights from the comparison**:
- **SIMD effectiveness depends on string patterns**: 28% impact for Twitter vs 7.8% for CITM
- **Integer optimization critical for maps**: Fast digit counting has 5x larger impact on CITM due to map key serialization
- **Buffer growth strategy matters for complex structures**: 33.4% impact for CITM's nested maps vs 1.8% for Twitter's arrays
- **Branch prediction can backfire**: CITM performs 9.1% *better* without branch hints, likely due to unpredictable map iteration patterns
4. **Compilation overhead is negligible**: All optimizations have ±2% compilation time impact, with no clear pattern. The measured ~23 second compilation time is consistent across all variants.
5. **Statistical considerations**:
- Twitter shows excellent consistency (CV: 0.64%)
- CITM shows higher variance (CV: 11.56% with 20 runs, down from 19.09% with 10 runs)
- 20-run methodology recommended for CITM due to higher variance
- 10-run methodology sufficient for Twitter benchmarks
The ablation study demonstrates that modern C++ optimizations must be carefully tuned for different data structures. While consteval optimization provides consistent benefits, other optimizations like SIMD, fast digit counting, and buffer growth strategies have dramatically different impacts depending on whether the JSON structure is array-dominated (Twitter) or map-dominated (CITM).
-13
View File
@@ -4,9 +4,6 @@ add_subdirectory(dom)
include_directories( . linux )
link_libraries(simdjson-windows-headers test-data)
link_libraries(simdjson)
if(SIMDJSON_STATIC_REFLECTION)
add_compile_definitions(SIMDJSON_STATIC_REFLECTION=1)
endif(SIMDJSON_STATIC_REFLECTION)
add_executable(benchfeatures benchfeatures.cpp)
add_executable(get_corpus_benchmark get_corpus_benchmark.cpp)
@@ -35,13 +32,3 @@ if (TARGET benchmark::benchmark)
endif()
endif()
if(SIMDJSON_STATIC_REFLECTION)
add_subdirectory(static_reflect)
endif(SIMDJSON_STATIC_REFLECTION)
include(CheckCXXCompilerFlag)
check_cxx_compiler_flag("-std=c++20" SIMDJSON_COMPILER_SUPPORTS_CXX20)
if(SIMDJSON_EXCEPTIONS AND SIMDJSON_COMPILER_SUPPORTS_CXX20)
add_subdirectory(from)
endif()
-134
View File
@@ -1,134 +0,0 @@
# Unified Benchmark Results - JSON Parsing Performance
## Overview
Comparison of simdjson's C++26 static reflection implementation against traditional JSON libraries for parsing performance (JSON → C++ structs).
## Test Environment
- **Compiler**: bloomberg/clang-p2996 (C++26 with reflection support)
- **Platform**: Linux aarch64
- **Build Type**: Release with -O3
- **Methodology**: Conservative approach - fresh parser instance per iteration
- **Date**: August 2025
## Parsing Performance Results
### Twitter Parsing Benchmark (631KB, String-Heavy)
| Library/Method | Throughput | Latency | Speedup vs nlohmann |
|----------------|------------|---------|-------------------|
| **simdjson (manual)** | 3879.9 MB/s | 155.23 μs | 22.7x |
| **simdjson (reflection)** | 3708.9 MB/s | 162.38 μs | 21.7x |
| **simdjson::from()** | 3708.8 MB/s | 162.38 μs | 21.7x |
| nlohmann (extraction) | 170.7 MB/s | 3528.11 μs | 1.0x (baseline) |
| RapidJSON (extraction) | 663.1 MB/s | 908.26 μs | 3.9x |
### CITM Catalog Parsing Benchmark (1.7MB, Complex Objects)
| Library/Method | Throughput | Latency | Speedup vs nlohmann |
|----------------|------------|---------|-------------------|
| **simdjson (manual)** | 2848.8 MB/s | 578.21 μs | 14.5x |
| **simdjson (reflection)** | 2183.4 MB/s | 754.42 μs | 11.1x |
| **simdjson::from()** | 2169.8 MB/s | 759.16 μs | 11.0x |
| nlohmann (extraction) | 197.1 MB/s | 8357.74 μs | 1.0x (baseline) |
| RapidJSON (extraction) | 1355.6 MB/s | 1215.13 μs | 6.9x |
## Key Findings
1. **Reflection performs excellently**: Only 4-25% slower than manual implementation
2. **Massive speedup over traditional libraries**: 10-22x faster than nlohmann::json
3. **Parser reuse is critical**: simdjson uses parser reuse pattern for optimal performance
4. **String-heavy workloads favor simdjson**: Twitter shows better relative performance
## Performance Characteristics
### simdjson Advantages
- **Manual implementation**: Fastest possible, hand-optimized
- **Reflection**: Near-manual performance with automatic code generation
- **from() API**: Convenient extraction API with minimal overhead
- **Parser reuse**: Amortizes allocation costs across iterations
### Library Comparison
- **simdjson**: 2.2-3.9 GB/s throughput (conservative approach)
- **RapidJSON**: 0.7-1.4 GB/s throughput (3-7x slower)
- **nlohmann**: 170-200 MB/s throughput (11-23x slower)
## Implementation Notes
- **Conservative approach**: Fresh parser instance per iteration (realistic usage)
- **Reflection implementation**: Uses C++26 static reflection (P2996)
- **Compilation**: Standalone with -O3 optimization
- **Results**: Median of 500-1000 iterations
### Performance Difference vs Ablation Study
The unified benchmark shows ~15% higher throughput (3.7 vs 3.2 GB/s) compared to the ablation study due to:
- Standalone compilation with explicit -O3 flags
- Different link-time optimization settings
- Potential inlining threshold differences
Both measurements are valid - unified shows optimized build performance, ablation shows CMake build performance.
## Conclusion
simdjson's C++26 static reflection provides:
- **Near-manual performance** (within 4-25%)
- **10-22x speedup** over nlohmann::json
- **3-7x speedup** over RapidJSON
- **Automatic code generation** with reflection
This demonstrates that C++26 reflection can provide zero-cost abstractions for JSON parsing.
## Running Benchmarks with Serde Comparison
### Serialization Benchmarks (Including Serde)
The repository includes benchmarks comparing simdjson with Serde (Rust's serialization framework).
#### Prerequisites
- Rust and Cargo installed (`curl https://sh.rustup.rs -sSf | sh`)
- C++26-capable compiler with reflection support
#### Running the Benchmarks
```bash
# Build the benchmarks with Rust/Serde support
cd /path/to/simdjson/build
cmake .. -DSIMDJSON_DEVELOPER_MODE=ON \
-DSIMDJSON_STATIC_REFLECTION=ON \
-DCMAKE_BUILD_TYPE=Release
make benchmark_serialization_twitter benchmark_serialization_citm_catalog -j4
# Run Twitter serialization benchmark (all libraries)
./benchmark/static_reflect/twitter_benchmark/benchmark_serialization_twitter
# Run CITM serialization benchmark (all libraries)
./benchmark/static_reflect/citm_catalog_benchmark/benchmark_serialization_citm_catalog
# Run specific library comparison (comma-separated filters now supported!)
./benchmark/static_reflect/twitter_benchmark/benchmark_serialization_twitter -f simdjson_static_reflection,simdjson_to,rust
# List available benchmarks
./benchmark/static_reflect/twitter_benchmark/benchmark_serialization_twitter -l
```
#### Expected Results
**Twitter Dataset (631KB)**
- simdjson (builder API): ~3.21 GB/s
- simdjson::to API: ~2.85 GB/s
- Serde (Rust): ~1.73 GB/s
- reflect-cpp: ~1.49 GB/s
- nlohmann: ~0.18 GB/s
**CITM Dataset (1.7MB)**
- simdjson (builder API): ~2.37 GB/s
- simdjson::to API: ~2.15 GB/s
- reflect-cpp: ~1.19 GB/s
- Serde (Rust): ~1.17 GB/s
- nlohmann: ~0.10 GB/s
**Key Finding**: simdjson with C++26 reflection achieves 1.8-1.9x faster serialization than Serde.
Note: The benchmark includes a warning that Serde may use different data structures, but the performance comparison remains valid for real-world serialization scenarios.
@@ -1,618 +0,0 @@
#!/bin/bash
# JSON Parsing Compilation Benchmark: Reflection Usage vs Manual Parsing
# Compares compilation times when ACTUALLY USING reflection for parsing vs manual parsing
# This measures the compile-time cost of reflection-based automatic deserialization
set -e
echo "=== simdjson Reflection Usage Compilation Benchmark ==="
echo "Measuring compilation impact of ACTUALLY USING reflection for parsing"
echo "Starting at: $(date)"
echo
echo "╔════════════════════════════════════════════════════════════════════════════╗"
echo "║ METHODOLOGY ║"
echo "╠════════════════════════════════════════════════════════════════════════════╣"
echo "║ ║"
echo "║ FAIR COMPARISON STRATEGY: ║"
echo "║ This benchmark compares two DIFFERENT approaches to parsing the same JSON: ║"
echo "║ ║"
echo "║ • MANUAL PARSING: Traditional simdjson with explicit .get() calls ║"
echo "║ - Uses doc[\"field\"].get(variable) for each field ║"
echo "║ - No reflection involved ║"
echo "║ ║"
echo "║ • REFLECTION PARSING: Automatic deserialization with reflection ║"
echo "║ - Uses doc.get<MyStruct>() for automatic field mapping ║"
echo "║ - Relies on compile-time reflection to generate parsing code ║"
echo "║ ║"
echo "║ WHAT WE'RE MEASURING: ║"
echo "║ • Compile-time cost of reflection-based automatic deserialization ║"
echo "║ • Template instantiation overhead for reflection parsing ║"
echo "║ • Code generation complexity from using reflection features ║"
echo "║ ║"
echo "║ TEST SCENARIOS: ║"
echo "║ ║"
echo "║ 1. SIMPLE STRUCT: Basic fields (string, int, bool) ║"
echo "║ - Measures baseline reflection overhead ║"
echo "║ ║"
echo "║ 2. NESTED STRUCT: Multiple levels of nested objects ║"
echo "║ - Measures reflection complexity scaling ║"
echo "║ ║"
echo "║ 3. COMPLEX STRUCT: Arrays, optional fields, mixed types ║"
echo "║ - Measures real-world reflection usage impact ║"
echo "║ ║"
echo "║ WHY THIS IS MEANINGFUL: ║"
echo "║ • Shows actual cost of using reflection features ║"
echo "║ • Measures compile-time code generation overhead ║"
echo "║ • Helps developers understand reflection's compilation impact ║"
echo "║ • Compares equivalent functionality implemented two different ways ║"
echo "║ ║"
echo "╚════════════════════════════════════════════════════════════════════════════╝"
echo
# Configuration
ITERATIONS=10
JOBS=4
# ───────────────────────────── BOX-PRINT HELPER ────────────────────────────
BOX_WIDTH=74 # characters between the pipes
print_box_line() { # usage: print_box_line "text"
printf "║ %-*s ║\n" "${BOX_WIDTH}" "$1"
}
# Function to test if a compiler supports reflection with debug output
test_reflection_support() {
local compiler="$1"
echo " → Testing compiler: $compiler"
if [ ! -x "$compiler" ] && ! command -v "$compiler" >/dev/null 2>&1; then
echo " → Compiler not found or not executable"
return 1
fi
# Check compiler version first
echo " → Compiler version: $("$compiler" --version 2>/dev/null | head -n1 || echo "version check failed")"
# Simple test: check if compiler accepts reflection flags
local test_file=$(mktemp /tmp/reflection_test_XXXXXX.cpp)
cat > "$test_file" << 'EOF'
int main() {
return 0;
}
EOF
echo " → Testing basic reflection flags..."
local test_exe=$(mktemp /tmp/reflection_test_XXXXXX)
local basic_result=$("$compiler" -freflection -fexpansion-statements -std=c++26 "$test_file" -o "$test_exe" 2>&1)
local basic_exit_code=$?
if [ $basic_exit_code -ne 0 ]; then
echo " → Basic flags FAILED with exit code $basic_exit_code"
echo " → Error output: $basic_result"
rm -f "$test_file" "$test_exe"
return 1
fi
echo " → Basic flags: OK"
rm -f "$test_exe"
# Test reflection syntax
echo " → Testing reflection syntax..."
cat > "$test_file" << 'EOF'
struct Test {
int x;
};
int main() {
auto refl = ^^Test;
return 0;
}
EOF
local syntax_result=$("$compiler" -freflection -fexpansion-statements -std=c++26 "$test_file" -o "$test_exe" 2>&1)
local syntax_exit_code=$?
if [ $syntax_exit_code -eq 0 ]; then
echo " → Reflection syntax: OK"
echo " → ✓ REFLECTION SUPPORT CONFIRMED"
rm -f "$test_file" "$test_exe"
return 0
else
echo " → Reflection syntax FAILED with exit code $syntax_exit_code"
echo " → Error output: $syntax_result"
rm -f "$test_file" "$test_exe"
return 1
fi
}
# Find a compiler with reflection support
echo "Searching for clang++ with reflection support..."
REFLECTION_CXX=""
REFLECTION_CC=""
# List of potential clang++ locations to check
POTENTIAL_COMPILERS=(
"/usr/local/bin/clang++"
"/opt/clang/bin/clang++"
"/usr/bin/clang++"
"clang++"
)
# If CXX is already set, test it first
if [ -n "$CXX" ]; then
echo "Testing user-specified compiler: $CXX"
if test_reflection_support "$CXX"; then
REFLECTION_CXX="$CXX"
echo "✓ User-specified compiler supports reflection: $CXX"
else
echo "✗ User-specified compiler does not support reflection: $CXX"
echo "Will search for alternative..."
fi
fi
# If we don't have a working compiler yet, search for one
if [ -z "$REFLECTION_CXX" ]; then
for compiler in "${POTENTIAL_COMPILERS[@]}"; do
echo "Testing: $compiler"
if test_reflection_support "$compiler"; then
REFLECTION_CXX="$compiler"
echo "✓ Found reflection-enabled compiler: $compiler"
break
else
echo "✗ No reflection support: $compiler"
fi
done
fi
# Check if we found a working compiler
if [ -z "$REFLECTION_CXX" ]; then
echo
echo "╔════════════════════════════════════════════════════════════════════════════╗"
echo "║ ERROR ║"
echo "╠════════════════════════════════════════════════════════════════════════════╣"
echo "║ ║"
echo "║ No clang++ compiler with reflection support found! ║"
echo "║ ║"
echo "║ This benchmark requires a compiler that supports C++26 reflection. ║"
echo "║ ║"
echo "║ Options: ║"
echo "║ 1. Use the Docker container: ./p2996/run_docker.sh ║"
echo "║ 2. Build clang with reflection from: https://github.com/bloomberg/clang-p2996 ║"
echo "║ 3. Set CXX environment variable to point to reflection-enabled clang++ ║"
echo "║ ║"
echo "║ Example: CXX=/path/to/reflection-clang++ ./benchmark_script.sh ║"
echo "║ ║"
echo "╚════════════════════════════════════════════════════════════════════════════╝"
exit 1
fi
# Set the compilers
export CXX="$REFLECTION_CXX"
# Find corresponding C compiler
if [ -n "$CC" ]; then
REFLECTION_CC="$CC"
elif [ "$REFLECTION_CXX" = "/usr/local/bin/clang++" ]; then
REFLECTION_CC="/usr/local/bin/clang"
elif [ "$REFLECTION_CXX" = "/opt/clang/bin/clang++" ]; then
REFLECTION_CC="/opt/clang/bin/clang"
elif [ "$REFLECTION_CXX" = "/usr/bin/clang++" ]; then
REFLECTION_CC="/usr/bin/clang"
else
REFLECTION_CC="clang"
fi
export CC="$REFLECTION_CC"
echo
echo "Using reflection-enabled compiler: $($CXX --version | head -n1)"
echo "Using C compiler: $($CC --version | head -n1)"
echo
# Function to create manual parsing test
create_manual_parsing_test() {
local test_name="$1"
local struct_complexity="$2"
cat > "${test_name}_manual.cpp" << 'EOF'
#include <simdjson.h>
#include <iostream>
#include <string>
#include <vector>
#include <optional>
// Test structures
struct Person {
std::string name;
int age;
bool active;
};
struct Address {
std::string street;
std::string city;
int zipcode;
};
struct Employee {
Person person;
Address address;
std::vector<std::string> skills;
std::optional<std::string> department;
double salary;
};
// Manual parsing functions
bool parse_person_manual(simdjson::ondemand::value& val, Person& person) {
auto obj = val.get_object();
if (obj.error()) return false;
for (auto field : obj) {
std::string_view key = field.unescaped_key();
if (key == "name") {
std::string_view name_val;
if (field.value().get(name_val)) return false;
person.name = name_val;
} else if (key == "age") {
if (field.value().get(person.age)) return false;
} else if (key == "active") {
if (field.value().get(person.active)) return false;
}
}
return true;
}
bool parse_address_manual(simdjson::ondemand::value& val, Address& address) {
auto obj = val.get_object();
if (obj.error()) return false;
for (auto field : obj) {
std::string_view key = field.unescaped_key();
if (key == "street") {
std::string_view street_val;
if (field.value().get(street_val)) return false;
address.street = street_val;
} else if (key == "city") {
std::string_view city_val;
if (field.value().get(city_val)) return false;
address.city = city_val;
} else if (key == "zipcode") {
if (field.value().get(address.zipcode)) return false;
}
}
return true;
}
bool parse_employee_manual(simdjson::ondemand::document& doc, Employee& employee) {
auto obj = doc.get_object();
if (obj.error()) return false;
for (auto field : obj) {
std::string_view key = field.unescaped_key();
if (key == "person") {
auto person_val = field.value();
if (!parse_person_manual(person_val, employee.person)) return false;
} else if (key == "address") {
auto addr_val = field.value();
if (!parse_address_manual(addr_val, employee.address)) return false;
} else if (key == "skills") {
auto skills_array = field.value().get_array();
if (skills_array.error()) return false;
for (auto skill : skills_array) {
std::string_view skill_val;
if (skill.get(skill_val)) return false;
employee.skills.emplace_back(skill_val);
}
} else if (key == "department") {
std::string_view dept_val;
if (!field.value().get(dept_val)) {
employee.department = dept_val;
}
} else if (key == "salary") {
if (field.value().get(employee.salary)) return false;
}
}
return true;
}
int main() {
simdjson::ondemand::parser parser;
std::string json_str = R"({
"person": {
"name": "John Doe",
"age": 30,
"active": true
},
"address": {
"street": "123 Main St",
"city": "Anytown",
"zipcode": 12345
},
"skills": ["C++", "JSON", "Programming"],
"department": "Engineering",
"salary": 85000.50
})";
simdjson::ondemand::document doc;
auto error = parser.iterate(simdjson::pad(json_str)).get(doc);
if (error) {
std::cerr << "Parse error" << std::endl;
return 1;
}
Employee employee;
if (!parse_employee_manual(doc, employee)) {
std::cerr << "Manual parsing failed" << std::endl;
return 1;
}
std::cout << "Manual parsing successful: " << employee.person.name
<< ", age " << employee.person.age << std::endl;
return 0;
}
EOF
}
# Function to create reflection parsing test
create_reflection_parsing_test() {
local test_name="$1"
local struct_complexity="$2"
cat > "${test_name}_reflection.cpp" << 'EOF'
#include <simdjson.h>
#include <iostream>
#include <string>
#include <vector>
#include <optional>
// Test structures (same as manual version)
struct Person {
std::string name;
int age;
bool active;
};
struct Address {
std::string street;
std::string city;
int zipcode;
};
struct Employee {
Person person;
Address address;
std::vector<std::string> skills;
std::optional<std::string> department;
double salary;
};
int main() {
simdjson::ondemand::parser parser;
std::string json_str = R"({
"person": {
"name": "John Doe",
"age": 30,
"active": true
},
"address": {
"street": "123 Main St",
"city": "Anytown",
"zipcode": 12345
},
"skills": ["C++", "JSON", "Programming"],
"department": "Engineering",
"salary": 85000.50
})";
simdjson::ondemand::document doc;
auto error = parser.iterate(simdjson::pad(json_str)).get(doc);
if (error) {
std::cerr << "Parse error" << std::endl;
return 1;
}
// Use reflection-based automatic deserialization
Employee employee;
auto result = doc.get<Employee>();
if (result.error()) {
std::cerr << "Reflection parsing failed" << std::endl;
return 1;
}
employee = result.value();
std::cout << "Reflection parsing successful: " << employee.person.name
<< ", age " << employee.person.age << std::endl;
return 0;
}
EOF
}
# Function to time compilation of parsing approach
time_parsing_compilation() {
local description="$1"
local test_file="$2"
local use_reflection="$3"
local iteration="$4"
echo "[$iteration] $description"
# Clean build
rm -rf build_parsing_test
mkdir build_parsing_test
cd build_parsing_test
# Copy test file
cp "../$test_file" .
echo " Configuring..."
if [ "$use_reflection" = "true" ]; then
cmake -DCMAKE_CXX_COMPILER="$CXX" \
-DSIMDJSON_DEVELOPER_MODE=ON \
-DSIMDJSON_STATIC_REFLECTION=ON \
-DBUILD_SHARED_LIBS=OFF \
../.. >/dev/null 2>&1
else
cmake -DCMAKE_CXX_COMPILER="$CXX" \
-DSIMDJSON_DEVELOPER_MODE=ON \
-DSIMDJSON_STATIC_REFLECTION=OFF \
-DBUILD_SHARED_LIBS=OFF \
../.. >/dev/null 2>&1
fi
echo " Building simdjson..."
cmake --build . --target simdjson >/dev/null 2>&1
echo " Compiling parsing test..."
# Time just the test compilation
start_time=$(date +%s.%N)
"$CXX" -std=c++17 -I../../include "$test_file" -L. -lsimdjson -o parsing_test >/dev/null 2>&1
end_time=$(date +%s.%N)
# Calculate time duration
time_taken=$(echo "$end_time $start_time" | awk '{printf "%.3f", $1 - $2}')
echo " Completed in: ${time_taken}s"
cd ..
rm -rf build_parsing_test
echo "$time_taken"
}
# Create test files
echo "Creating test files..."
create_manual_parsing_test "complex" "complex"
create_reflection_parsing_test "complex" "complex"
# Arrays to store times
times_manual=""
times_reflection=""
echo
echo "=== MANUAL PARSING COMPILATION ==="
echo "Testing traditional simdjson parsing with explicit .get() calls"
echo
for i in $(seq 1 $ITERATIONS); do
time_result=$(time_parsing_compilation "Compiling manual parsing test" "complex_manual.cpp" "false" "$i" | tail -n1)
times_manual="$times_manual $time_result"
done
echo
echo "=== REFLECTION PARSING COMPILATION ==="
echo "Testing automatic deserialization with doc.get<Struct>()"
echo
for i in $(seq 1 $ITERATIONS); do
time_result=$(time_parsing_compilation "Compiling reflection parsing test" "complex_reflection.cpp" "true" "$i" | tail -n1)
times_reflection="$times_reflection $time_result"
done
echo
echo "╔════════════════════════════════════════════════════════════════════════════╗"
echo "║ REFLECTION USAGE COMPILATION RESULTS ║"
echo "╠════════════════════════════════════════════════════════════════════════════╣"
echo "║ ║"
echo "║ MANUAL PARSING (explicit .get() calls): ║"
count=1
for t in $times_manual; do
if [[ "$t" =~ ^[0-9]+\.?[0-9]*$ ]]; then
line=$(printf "Run %2d: %7.3f seconds" "$count" "$t")
print_box_line "$line"
count=$((count + 1))
fi
done
echo "║ ║"
echo "║ REFLECTION PARSING (automatic doc.get<Struct>()): ║"
count=1
for t in $times_reflection; do
if [[ "$t" =~ ^[0-9]+\.?[0-9]*$ ]]; then
line=$(printf "Run %2d: %7.3f seconds" "$count" "$t")
print_box_line "$line"
count=$((count + 1))
fi
done
echo "╚════════════════════════════════════════════════════════════════════════════╝"
echo
echo "╔════════════════════════════════════════════════════════════════════════════╗"
echo "║ ANALYSIS SUMMARY ║"
echo "╠════════════════════════════════════════════════════════════════════════════╣"
echo "║ ║"
# Calculate averages and percentages - filter to only numeric values first
manual_numbers=""
reflection_numbers=""
for t in $times_manual; do
if [[ "$t" =~ ^[0-9]+\.?[0-9]*$ ]]; then
manual_numbers="$manual_numbers $t"
fi
done
for t in $times_reflection; do
if [[ "$t" =~ ^[0-9]+\.?[0-9]*$ ]]; then
reflection_numbers="$reflection_numbers $t"
fi
done
if [ -n "$manual_numbers" ] && [ -n "$reflection_numbers" ]; then
manual_avg=$(echo "$manual_numbers" | awk '{sum=0; for(i=1;i<=NF;i++) sum+=$i; print sum/NF}')
reflection_avg=$(echo "$reflection_numbers" | awk '{sum=0; for(i=1;i<=NF;i++) sum+=$i; print sum/NF}')
overhead=$(echo "$reflection_avg $manual_avg" | awk '{printf "%.3f", $1 - $2}')
if [ $(echo "$manual_avg > 0" | awk '{print ($1 > 0)}') -eq 1 ]; then
percent=$(echo "$reflection_avg $manual_avg" | awk '{printf "%.1f", ($1 - $2) / $2 * 100}')
else
percent="0"
fi
print_box_line "MANUAL PARSING RESULTS:"
print_box_line "$(printf "Average compilation time: %.3fs" "$manual_avg")"
print_box_line ""
print_box_line "REFLECTION PARSING RESULTS:"
print_box_line "$(printf "Average compilation time: %.3fs" "$reflection_avg")"
print_box_line ""
print_box_line "REFLECTION OVERHEAD:"
print_box_line "$(printf "Additional time: %.3fs (%+.1f%%)" "$overhead" "$percent")"
print_box_line ""
else
echo "║ ERROR: Could not extract valid timing data ║"
echo "║ Manual times: $times_manual"
echo "║ Reflection times: $times_reflection"
echo "║ ║"
fi
echo "╠════════════════════════════════════════════════════════════════════════════╣"
echo "║ INTERPRETATION ║"
echo "╠════════════════════════════════════════════════════════════════════════════╣"
echo "║ ║"
echo "║ WHAT THESE RESULTS SHOW: ║"
echo "║ ║"
echo "║ • COMPILE-TIME COST: How much longer reflection parsing takes to compile ║"
echo "║ - Higher % = more expensive template instantiation and codegen ║"
echo "║ ║"
echo "║ • CODE GENERATION OVERHEAD: Reflection creates parsing code at compile ║"
echo "║ time, which requires more template processing than manual parsing ║"
echo "║ ║"
echo "║ • DEVELOPER TRADE-OFF: Reflection provides automatic deserialization ║"
echo "║ but at the cost of increased compilation time ║"
echo "║ ║"
echo "║ EVALUATION: ║"
echo "║ • Low overhead (0-20%): Reflection is compile-time efficient ║"
echo "║ • Medium overhead (20-50%): Noticeable but potentially acceptable ║"
echo "║ • High overhead (50%+): Significant compilation cost for reflection ║"
echo "║ ║"
echo "║ REAL-WORLD IMPACT: ║"
echo "║ • Small projects: Absolute time matters more than percentage ║"
echo "║ • Large projects: Percentage overhead compounds across many files ║"
echo "║ • CI/CD pipelines: Longer builds affect development velocity ║"
echo "║ ║"
echo "╚════════════════════════════════════════════════════════════════════════════╝"
# Clean up test files
rm -f complex_manual.cpp complex_reflection.cpp
echo
echo "Completed at: $(date)"
-95
View File
@@ -1,95 +0,0 @@
#!/bin/bash
# Build script for the unified benchmark
# Automatically detects available libraries and builds accordingly
set -e
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
ROOT_DIR="$(dirname "$SCRIPT_DIR")"
BUILD_DIR="$ROOT_DIR/build"
echo "=== Building Unified JSON Benchmark ==="
echo ""
# Check for clang++ with C++26 support
if ! command -v /usr/local/bin/clang++ &> /dev/null; then
echo "Error: Clang++ with C++26 support not found at /usr/local/bin/clang++"
echo "Please install the bloomberg/clang-p2996 compiler"
exit 1
fi
# Detect available libraries
COMPILE_FLAGS="-std=c++26 -freflection -O3"
COMPILE_FLAGS="$COMPILE_FLAGS -DSIMDJSON_STATIC_REFLECTION=1"
COMPILE_FLAGS="$COMPILE_FLAGS -DSIMDJSON_EXCEPTIONS=1"
INCLUDES="-I$ROOT_DIR/include"
echo "Checking for optional libraries..."
# Check for nlohmann/json
if [ -d "$BUILD_DIR/_deps/nlohmann_json-src" ]; then
echo "✓ Found nlohmann/json"
COMPILE_FLAGS="$COMPILE_FLAGS -DHAS_NLOHMANN"
INCLUDES="$INCLUDES -I$BUILD_DIR/_deps/nlohmann_json-src/include"
elif [ -d "$BUILD_DIR/build20/_deps/nlohmann_json-src" ]; then
echo "✓ Found nlohmann/json (in build20)"
COMPILE_FLAGS="$COMPILE_FLAGS -DHAS_NLOHMANN"
INCLUDES="$INCLUDES -I$BUILD_DIR/build20/_deps/nlohmann_json-src/include"
else
echo "✗ nlohmann/json not found (will skip nlohmann benchmarks)"
fi
# Check for RapidJSON
if [ -d "$BUILD_DIR/_deps/rapidjson-src" ]; then
echo "✓ Found RapidJSON"
COMPILE_FLAGS="$COMPILE_FLAGS -DHAS_RAPIDJSON"
INCLUDES="$INCLUDES -I$BUILD_DIR/_deps/rapidjson-src/include"
elif [ -d "$BUILD_DIR/build20/_deps/rapidjson-src" ]; then
echo "✓ Found RapidJSON (in build20)"
COMPILE_FLAGS="$COMPILE_FLAGS -DHAS_RAPIDJSON"
INCLUDES="$INCLUDES -I$BUILD_DIR/build20/_deps/rapidjson-src/include"
else
echo "✗ RapidJSON not found (will skip RapidJSON benchmarks)"
fi
echo ""
echo "Compiling unified benchmark..."
# Compile the benchmark
/usr/local/bin/clang++ \
$COMPILE_FLAGS \
$INCLUDES \
"$SCRIPT_DIR/unified_benchmark.cpp" \
"$ROOT_DIR/singleheader/simdjson.cpp" \
-o "$SCRIPT_DIR/unified_benchmark"
if [ $? -eq 0 ]; then
echo ""
echo "✓ Build successful!"
echo ""
echo "Running benchmark..."
echo "==================="
echo ""
# Run the benchmark from the correct directory
cd "$ROOT_DIR"
"$SCRIPT_DIR/unified_benchmark"
if [ $? -eq 0 ]; then
echo ""
echo "✓ Benchmark completed successfully!"
else
echo ""
echo "✗ Benchmark execution failed"
echo ""
echo "Note: The benchmark expects to find JSON files in:"
echo " jsonexamples/twitter.json"
echo " jsonexamples/citm_catalog.json"
exit 1
fi
else
echo ""
echo "✗ Build failed"
exit 1
fi
+3 -2
View File
@@ -25,11 +25,12 @@ int main(int argc, char *argv[]) {
exit(1);
}
const char *filename = argv[1];
simdjson::padded_string p;
if (simdjson::padded_string::load(filename).get(p)) {
auto v = simdjson::padded_string::load(filename);
if (v.error()) {
std::cerr << "Could not load the file " << filename << std::endl;
return EXIT_FAILURE;
}
const simdjson::padded_string& p = v.value_unsafe();
if (test_baseline) {
std::wclog << "Baseline: Getline + normal parse... " << std::endl;
std::cout << "Gigabytes/second\t"
-1
View File
@@ -122,7 +122,6 @@ struct event_aggregate {
}
double elapsed_sec() const { return total.elapsed_sec() / iterations; }
double total_elapsed_ns() const { return total.elapsed_ns(); }
double elapsed_ns() const { return total.elapsed_ns() / iterations; }
double cycles() const { return total.cycles() / iterations; }
double instructions() const { return total.instructions() / iterations; }
+1 -1
View File
@@ -13,7 +13,7 @@ struct nlohmann_json {
auto root = nlohmann::json::parse(json.data(), json.data() + json.size());
for (auto tweet : root["statuses"]) {
if (tweet["id"] == find_id) {
result = to_string(tweet["text"]);
result = tweet["text"];
return true;
}
}
-15
View File
@@ -1,15 +0,0 @@
# Executable
add_executable(from_benchmark from_benchmark.cpp)
# Compile for C++20.
if(CMAKE_CXX_STANDARD LESS 20)
target_compile_features(from_benchmark PRIVATE cxx_std_20)
endif()
# Check if -march=native is supported
include(CheckCXXCompilerFlag)
check_cxx_compiler_flag("-march=native" SIMDJSON_SUPPORTS_MARCH_NATIVE)
if(SIMDJSON_SUPPORTS_MARCH_NATIVE)
target_compile_options(from_benchmark PRIVATE -march=native)
endif()
target_include_directories(from_benchmark PRIVATE ${CMAKE_CURRENT_LIST_DIR}/..)
-77
View File
@@ -1,77 +0,0 @@
#ifndef BENCHMARK_HELPERS_H
#define BENCHMARK_HELPERS_H
#include "event_counter.h"
#include <atomic>
event_collector collector;
template <class function_type>
std::pair<event_aggregate, size_t>
bench(const function_type &&function, size_t min_repeat = 10,
size_t min_time_ns = 40'000'000, size_t max_repeat = 10000000) {
size_t N = min_repeat;
if (N == 0) {
N = 1;
}
event_aggregate warm_aggregate{};
for (size_t i = 0; i < N; i++) {
std::atomic_thread_fence(std::memory_order_acquire);
collector.start();
function();
std::atomic_thread_fence(std::memory_order_release);
event_count allocate_count = collector.end();
warm_aggregate << allocate_count;
if ((i + 1 == N) && (warm_aggregate.total_elapsed_ns() < min_time_ns) &&
(N < max_repeat)) {
N *= 10;
}
}
event_aggregate aggregate{};
for (size_t i = 0; i < 10; i++) {
std::atomic_thread_fence(std::memory_order_acquire);
collector.start();
for (size_t i = 0; i < N; i++) {
function();
}
std::atomic_thread_fence(std::memory_order_release);
event_count allocate_count = collector.end();
aggregate << allocate_count;
}
return {aggregate, N};
}
double pretty_print(const std::string &name, size_t num_chars,
std::pair<event_aggregate, size_t> result) {
const auto &agg = result.first;
size_t N = result.second;
num_chars *= N;
printf("%-40s : %8.2f ns %8.2f GB/s", name.c_str(),
agg.elapsed_ns() / num_chars, num_chars / agg.elapsed_ns());
if (collector.has_events()) {
printf(" %8.2f GHz %8.2f cycles/char %8.2f ins./char %8.2f i/c",
agg.cycles() / agg.elapsed_ns(), agg.cycles() / num_chars,
agg.instructions() / num_chars, agg.instructions() / agg.cycles());
}
printf("\n");
return num_chars / agg.elapsed_ns();
}
double pretty_print_array(const std::string &name, size_t num_chars, size_t num_elements,
std::pair<event_aggregate, size_t> result) {
const auto &agg = result.first;
size_t N = result.second;
num_chars *= N;
printf("%-40s : %8.2f ns/char %8.2f ns/value %8.2f GB/s", name.c_str(),
agg.elapsed_ns() / num_chars, agg.elapsed_ns() / num_elements, num_chars / agg.elapsed_ns());
if (collector.has_events()) {
printf(" %8.2f GHz %8.2f cycles/char %8.2f ins./char %8.2f ins./value %8.2f i/c",
agg.cycles() / agg.elapsed_ns(), agg.cycles() / num_chars,
agg.instructions() / num_chars, agg.instructions() / num_elements, agg.instructions() / agg.cycles());
}
printf("\n");
return num_chars / agg.elapsed_ns();
}
#endif
-146
View File
@@ -1,146 +0,0 @@
#ifndef CAR_HELPERS_H
#define CAR_HELPERS_H
#include <iomanip>
#include <random>
#include <sstream>
#include <vector>
#include <simdjson.h>
struct Car {
std::string make;
std::string model;
int64_t year; // We deliberately do not include the tire pressure.
};
using namespace simdjson;
std::string random_car_json() {
static const std::vector<std::string> makes = {"Toyota", "Honda", "Ford",
"BMW", "Mazda"};
static const std::vector<std::string> models = {"Camry", "Civic", "Focus",
"320i", "3"};
static thread_local std::mt19937 rng{std::random_device{}()};
std::uniform_int_distribution<int> make_dist(0, makes.size() - 1);
std::uniform_int_distribution<int> model_dist(0, models.size() - 1);
std::uniform_int_distribution<int> year_dist(2000, 2025);
std::uniform_real_distribution<double> pressure_dist(30.0, 45.0);
std::ostringstream oss;
oss << R"({ "make": ")" << makes[make_dist(rng)] << R"(", "model": ")"
<< models[model_dist(rng)] << R"(", "year": )" << year_dist(rng)
<< R"(, "tire_pressure": [ )" << std::fixed << std::setprecision(1)
<< pressure_dist(rng) << ", " << pressure_dist(rng) << R"( ] })";
return oss.str();
}
std::string generate_car_json_stream(size_t N) {
std::ostringstream oss;
for (size_t i = 0; i < N; ++i) {
oss << random_car_json();
oss << "\n";
}
return oss.str();
}
std::string generate_car_json_array(size_t N) {
std::ostringstream oss;
oss << "[\n";
for (size_t i = 0; i < N; ++i) {
oss << random_car_json();
if (i < N - 1) {
oss << ",";
}
oss << "\n";
}
oss << "]";
return oss.str();
}
// We want to maximize C++ portability, but this is not needed with static
// reflection (C++26).
template <>
simdjson_inline simdjson_result<Car>
simdjson::ondemand::document::get() & noexcept {
ondemand::object obj;
auto error = get_object().get(obj);
if (error) {
return error;
}
Car car;
if ((error = obj["make"].get_string(car.make))) {
return error;
}
if ((error = obj["model"].get_string(car.model))) {
return error;
}
if ((error = obj["year"].get_int64().get(car.year))) {
return error;
}
return car;
}
template <>
simdjson_inline simdjson_result<Car> simdjson::ondemand::value::get() noexcept {
ondemand::object obj;
auto error = get_object().get(obj);
if (error) {
return error;
}
Car car;
if ((error = obj["make"].get_string(car.make))) {
return error;
}
if ((error = obj["model"].get_string(car.model))) {
return error;
}
if ((error = obj["year"].get_int64().get(car.year))) {
return error;
}
return car;
}
template <>
simdjson_inline simdjson_result<Car>
simdjson::ondemand::document_reference::get() & noexcept {
ondemand::object obj;
auto error = get_object().get(obj);
if (error) {
return error;
}
Car car;
if ((error = obj["make"].get_string(car.make))) {
return error;
}
if ((error = obj["model"].get_string(car.model))) {
return error;
}
if ((error = obj["year"].get_int64().get(car.year))) {
return error;
}
return car;
}
template <>
simdjson_inline simdjson_result<Car>
simdjson::ondemand::document_reference::get() && noexcept {
ondemand::object obj;
auto error = get_object().get(obj);
if (error) {
return error;
}
Car car;
if ((error = obj["make"].get_string(car.make))) {
return error;
}
if ((error = obj["model"].get_string(car.model))) {
return error;
}
if ((error = obj["year"].get_int64().get(car.year))) {
return error;
}
return car;
}
#endif
-132
View File
@@ -1,132 +0,0 @@
// We are going to assume C++20.
#include <cstdint>
#include <cstdio>
#include <cstdlib>
#include <simdjson.h>
#include <string>
#include "benchmark_helpers.h"
#include "car_helpers.h"
using namespace simdjson;
void run_benchmarks() {
printf("Running benchmarks on tiny input...\n");
simdjson::padded_string json =
R"({ "make": "Toyota", "model": "Camry", "year": 2018, "tire_pressure": [ 40.1, 39.9 ] })"_padded;
volatile size_t dummy = 0;
ondemand::parser parser;
// Classic On-Demand
pretty_print("simdjson classic", json.size(),
bench([&json, &dummy, &parser]() {
ondemand::document doc = parser.iterate(json);
Car car = doc.get<Car>();
dummy = dummy + car.year;
}));
// Benchmark simdjson::from() without parser
pretty_print("simdjson::from<Car>() (no parser)", json.size(),
bench([&json, &dummy]() {
Car car = simdjson::from(json);
dummy = dummy + car.year;
}));
// Benchmark simdjson::from() with parser
pretty_print("simdjson::from<Car>() (with parser)", json.size(),
bench([&json, &dummy, &parser]() {
Car car = simdjson::from(parser, json);
dummy = dummy + car.year;
}));
}
void run_array_benchmarks() {
printf("Running benchmarks on large array...\n");
size_t N = 1'000'000;
simdjson::padded_string json = generate_car_json_array(N);
volatile size_t dummy = 0;
ondemand::parser parser;
// Classic On-Demand
pretty_print_array("simdjson classic", json.size(), N,
bench([&json, &dummy, &parser]() {
dummy = 0;
ondemand::document doc = parser.iterate(json);
ondemand::array array = doc.get_array();
for (auto value : array) {
Car car = value.get<Car>();
dummy = dummy + car.year;
}
}));
// from with array
pretty_print_array("simdjson::from(json).array()", json.size(), N,
bench([&json, &dummy, &parser]() {
dummy = 0;
for (auto value : simdjson::from(json).array()) {
Car car = value.get<Car>();
dummy = dummy + car.year;
}
}));
#if SIMDJSON_SUPPORTS_RANGES_FROM
// Benchmark simdjson::from() without parser (EXPERIMENTAL)
pretty_print_array("simdjson::from<Car>() (experimental, no parser)",
json.size(), N, bench([&json, &dummy]() {
dummy = 0;
for (Car car :
simdjson::from(json) | simdjson::as<Car>()) {
dummy = dummy + car.year;
}
}));
// Benchmark simdjson::from() with parser (EXPERIMENTAL)
pretty_print_array("simdjson::from<Car>() (experimental, with parser)",
json.size(), N, bench([&json, &dummy, &parser]() {
dummy = 0;
for (Car car : simdjson::from(parser, json) |
simdjson::as<Car>()) {
dummy = dummy + car.year;
}
}));
#endif // SIMDJSON_SUPPORTS_RANGES_FROM
}
void run_stream_benchmarks() {
printf("Running stream benchmarks...\n");
simdjson::padded_string json = generate_car_json_stream(1'000'000);
volatile size_t dummy = 0;
ondemand::parser parser;
// Classic On-Demand
pretty_print("simdjson classic", json.size(),
bench([&json, &dummy, &parser]() {
ondemand::document_stream stream = parser.iterate_many(json);
for (auto doc : stream) {
Car car = doc.get<Car>();
dummy = dummy + car.year;
}
}));
// from_many
pretty_print("simdjson with thread local", json.size(),
bench([&json, &dummy, &parser]() {
ondemand::document_stream stream =
ondemand::parser::get_parser().iterate_many(json);
for (auto doc : stream) {
Car car = doc.get<Car>();
dummy = dummy + car.year;
}
}));
}
int main() {
for (size_t trial = 0; trial < 3; trial++) {
printf("Trial %zu:\n", trial + 1);
run_array_benchmarks();
run_stream_benchmarks();
run_benchmarks();
printf("\n");
}
return EXIT_SUCCESS;
}
+1 -5
View File
@@ -9,11 +9,7 @@ simdjson_never_inline
double bench(std::string filename, simdjson::padded_string& p) {
std::chrono::time_point<std::chrono::steady_clock> start_clock =
std::chrono::steady_clock::now();
auto error = simdjson::padded_string::load(filename).get(p);
if(error) {
std::cerr << simdjson::error_message(error) << std::endl;
std::abort();
}
simdjson::padded_string::load(filename).value_unsafe().swap(p);
std::chrono::time_point<std::chrono::steady_clock> end_clock =
std::chrono::steady_clock::now();
std::chrono::duration<double> elapsed = end_clock - start_clock;
@@ -23,29 +23,7 @@ struct simdjson_ondemand {
};
BENCHMARK_TEMPLATE(large_random, simdjson_ondemand)->UseManualTime();
#if SIMDJSON_STATIC_REFLECTION
struct simdjson_ondemand_static_reflect {
static constexpr diff_flags DiffFlags = diff_flags::NONE;
ondemand::parser parser{};
bool run(simdjson::padded_string &json, std::vector<point> &result) {
auto doc = parser.iterate(json);
if(auto e = doc.get_array().get<std::vector<point>>(result); e) { return false; }
// We can also do it like so:
//for (ondemand::object coord : doc) {
// result.emplace_back(coord.get<point>());
//}
// It seems that doing the reflection is slower than doing the manual lookup.
// E.g., it is faster if we do result.emplace_back(coord["x"], coord["y"], coord["z"]);
return true;
}
};
BENCHMARK_TEMPLATE(large_random, simdjson_ondemand_static_reflect)->UseManualTime();
#endif
} // namespace large_random
#endif // SIMDJSON_EXCEPTIONS
-44
View File
@@ -1,44 +0,0 @@
# Include reflect-cpp
CPMAddPackage(
NAME reflect-cpp
GITHUB_REPOSITORY getml/reflect-cpp
GIT_TAG v0.17.0
EXCLUDE_FROM_ALL YES
)
if(NOT WIN32)
# We want the check whether Rust is available before trying to build a crate.
CPMAddPackage(
NAME corrosion
GITHUB_REPOSITORY corrosion-rs/corrosion
VERSION 0.4.4
DOWNLOAD_ONLY ON
OPTIONS "Rust_FIND_QUIETLY OFF"
)
include("${corrosion_SOURCE_DIR}/cmake/FindRust.cmake")
endif()
if(RUST_FOUND)
message(STATUS "Rust found: " ${Rust_VERSION} )
add_subdirectory("${corrosion_SOURCE_DIR}" "${PROJECT_BINARY_DIR}/_deps/corrosion" EXCLUDE_FROM_ALL)
# Important: we want to build in release mode!
corrosion_import_crate(MANIFEST_PATH "serde-benchmark/Cargo.toml" NO_LINKER_OVERRIDE PROFILE release)
else()
message(STATUS "Rust/Cargo is unavailable." )
message(STATUS "We will not benchmark serde-benchmark." )
if (${CMAKE_SYSTEM_NAME} MATCHES "Darwin")
message(STATUS "Under macOS, you may be able to install rust with")
message(STATUS "curl https://sh.rustup.rs -sSf | sh")
elseif(CMAKE_SYSTEM_NAME STREQUAL "Linux")
message(STATUS "Under Linux, you may be able to install rust with a command such as")
message(STATUS "apt-get install cargo" )
message(STATUS "or" )
message(STATUS "curl https://sh.rustup.rs -sSf | sh")
endif()
endif()
# Add the benchmark executable targets
add_subdirectory(twitter_benchmark)
add_subdirectory(citm_catalog_benchmark)
@@ -1,52 +0,0 @@
#ifndef BENCHMARK_HELPER_HPP
#define BENCHMARK_HELPER_HPP
#include "event_counter.h"
#include <atomic>
inline event_collector &get_collector() {
static event_collector collector;
return collector;
}
template <class function_type>
event_aggregate bench(const function_type &function, size_t min_repeat = 10,
size_t min_time_ns = 1000000000,
size_t max_repeat = 100000) {
event_collector &collector = get_collector();
event_aggregate aggregate{};
size_t N = min_repeat;
if (N == 0) {
N = 1;
}
for (size_t i = 0; i < N; i++) {
std::atomic_thread_fence(std::memory_order_acquire);
collector.start();
function();
std::atomic_thread_fence(std::memory_order_release);
event_count allocate_count = collector.end();
aggregate << allocate_count;
if ((i + 1 == N) && (aggregate.total_elapsed_ns() < min_time_ns) &&
(N < max_repeat)) {
N *= 10;
}
}
return aggregate;
}
// Source of the 2 functions below:
// https://github.com/simdutf/simdutf/blob/master/benchmarks/base64/benchmark_base64.cpp
inline void pretty_print(size_t strings, size_t bytes, std::string name,
event_aggregate agg) {
event_collector &collector = get_collector();
printf("%-60s : ", name.c_str());
printf(" %5.2f MB/s ", bytes * 1000 / agg.elapsed_ns());
printf(" %5.2f Ms/s ", strings * 1000 / agg.elapsed_ns());
if (collector.has_events()) {
printf(" %5.2f GHz ", agg.cycles() / agg.elapsed_ns());
printf(" %5.2f c/b ", agg.cycles() / bytes);
printf(" %5.2f i/b ", agg.instructions() / bytes);
printf(" %5.2f i/c ", agg.instructions() / agg.cycles());
}
printf("\n");
}
#endif
@@ -1,14 +0,0 @@
add_executable(benchmark_serialization_citm_catalog benchmark_serialization_citm_catalog.cpp)
# Link with Rust benchmarking code if available
if(TARGET serde-benchmark)
message(STATUS "serde-benchmark target was created. Linking CITM catalog benchmark with serde-benchmark.")
target_link_libraries(benchmark_serialization_citm_catalog PRIVATE serde-benchmark)
target_compile_definitions(benchmark_serialization_citm_catalog PRIVATE SIMDJSON_RUST_VERSION="${Rust_VERSION}")
endif()
target_link_libraries(benchmark_serialization_citm_catalog PRIVATE simdjson::simdjson nlohmann_json)
target_link_libraries(benchmark_serialization_citm_catalog PRIVATE reflectcpp)
target_compile_definitions(benchmark_serialization_citm_catalog PRIVATE SIMDJSON_BENCH_CPP_REFLECT=1)
target_compile_definitions(benchmark_serialization_citm_catalog PRIVATE JSON_FILE="${BENCH_CITM_JSON}")
@@ -1,215 +0,0 @@
#include <cassert>
#include <cstdlib>
#include <ctime>
#include <format>
#include <fstream>
#include <iostream>
#include <nlohmann/json.hpp>
#include <simdjson.h>
#include <string>
#include "citm_catalog_data.h"
#include "nlohmann_citm_catalog_data.h"
#include "../benchmark_utils/benchmark_helper.h"
#if SIMDJSON_BENCH_CPP_REFLECT
#include <rfl.hpp>
#include <rfl/json.hpp>
void bench_reflect_cpp(CitmCatalog &data) {
std::string output = rfl::json::write(data);
size_t output_volume = output.size();
printf("# output volume: %zu bytes\n", output_volume);
volatile size_t measured_volume = 0;
pretty_print(1, output_volume, "bench_reflect_cpp",
bench([&data, &measured_volume, &output_volume]() {
std::string output = rfl::json::write(data);
measured_volume = output.size();
if (measured_volume != output_volume) {
printf("mismatch\n");
}
}));
}
#endif // SIMDJSON_BENCH_CPP_REFLECT
#ifdef SIMDJSON_RUST_VERSION
#include "../serde-benchmark/serde_benchmark.h"
void bench_rust(serde_benchmark::CitmCatalog *data) {
const char * output = serde_benchmark::str_from_citm(data);
size_t output_volume = strlen(output);
printf("# output volume: %zu bytes\n", output_volume);
volatile size_t measured_volume = 0;
pretty_print(1, output_volume, "bench_rust",
bench([&data, &measured_volume, &output_volume]() {
const char * output = serde_benchmark::str_from_citm(data);
measured_volume = strlen(output);
if (measured_volume != output_volume) {
printf("mismatch\n");
}
serde_benchmark::free_str(const_cast<char*>(output));
}));
serde_benchmark::free_str(const_cast<char*>(output));
}
#endif // SIMDJSON_RUST_VERSION
void bench_nlohmann(CitmCatalog &data) {
std::string output = nlohmann_serialize(data);
size_t output_volume = output.size();
printf("# output volume: %zu bytes\n", output_volume);
volatile size_t measured_volume = 0;
pretty_print(1, output_volume, "bench_nlohmann",
bench([&data, &measured_volume, &output_volume]() {
std::string output = nlohmann_serialize(data);
measured_volume = output.size();
if (measured_volume != output_volume) {
printf("mismatch\n");
}
}));
}
void bench_simdjson_static_reflection(CitmCatalog &data) {
simdjson::builder::string_builder sb;
simdjson::builder::append(sb, data);
std::string_view p;
if(sb.view().get(p)) {
std::cerr << "Error!" << std::endl;
}
size_t output_volume = p.size();
sb.clear();
printf("# output volume: %zu bytes\n", output_volume);
volatile size_t measured_volume = 0;
pretty_print(sizeof(data), output_volume, "bench_simdjson_static_reflection",
bench([&data, &measured_volume, &output_volume, &sb]() {
sb.clear();
simdjson::builder::append(sb, data);
std::string_view p;
if(sb.view().get(p)) {
std::cerr << "Error!" << std::endl;
}
measured_volume = sb.size();
if (measured_volume != output_volume) {
printf("mismatch\n");
}
}));
}
#if SIMDJSON_STATIC_REFLECTION
void bench_simdjson_to(CitmCatalog &data) {
std::string output = simdjson::to_json_string(data);
size_t output_volume = output.size();
printf("# output volume: %zu bytes\n", output_volume);
volatile size_t measured_volume = 0;
pretty_print(sizeof(data), output_volume, "bench_simdjson_to",
bench([&data, &measured_volume, &output_volume]() {
std::string output = simdjson::to_json_string(data);
measured_volume = output.size();
if (measured_volume != output_volume) {
printf("mismatch\n");
}
}));
}
#endif
std::string read_file(const std::string &file_path, size_t read_size = 65536) {
std::ifstream stream(file_path, std::ios::binary);
if(!stream) {
std::cerr << "Could not open file '" << file_path << "'" << std::endl;
exit(EXIT_FAILURE);
}
stream.exceptions(std::ios_base::badbit);
std::string out;
std::string buf(read_size, '\0');
while (stream.read(&buf[0], read_size)) {
out.append(buf, 0, size_t(stream.gcount()));
}
out.append(buf, 0, size_t(stream.gcount()));
return out;
}
// Function to check if benchmark name matches any of the comma-separated filters
bool matches_filter(const std::string& benchmark_name, const std::string& filter) {
if (filter.empty()) return true;
// Split filter by comma
size_t start = 0;
size_t end = filter.find(',');
while (end != std::string::npos) {
std::string token = filter.substr(start, end - start);
if (benchmark_name.find(token) != std::string::npos) {
return true;
}
start = end + 1;
end = filter.find(',', start);
}
// Check last token
std::string token = filter.substr(start);
return benchmark_name.find(token) != std::string::npos;
}
int main(int argc, char* argv[]) {
std::string filter;
// Parse command-line arguments
for (int i = 1; i < argc; ++i) {
if (strcmp(argv[i], "-f") == 0 || strcmp(argv[i], "--filter") == 0) {
if (i + 1 < argc) {
filter = argv[++i];
} else {
std::cerr << "Error: -f/--filter requires an argument" << std::endl;
return EXIT_FAILURE;
}
}
}
// Testing correctness of round-trip (serialization + deserialization)
std::string json_str = read_file(JSON_FILE);
// Loading up the data into a structure.
simdjson::ondemand::parser parser;
simdjson::ondemand::document doc;
if(parser.iterate(simdjson::pad(json_str)).get(doc)) {
std::cerr << "Error loading the document!" << std::endl;
return EXIT_FAILURE;
}
CitmCatalog my_struct;
if(doc.get<CitmCatalog>().get(my_struct)) {
std::cerr << "Error loading CitmCatalog!" << std::endl;
return EXIT_FAILURE;
}
// Benchmarking the serialization
if (matches_filter("nlohmann", filter)) {
bench_nlohmann(my_struct);
}
if (matches_filter("simdjson_static_reflection", filter)) {
bench_simdjson_static_reflection(my_struct);
}
#if SIMDJSON_STATIC_REFLECTION
if (matches_filter("simdjson_to", filter)) {
bench_simdjson_to(my_struct);
}
#endif
#ifdef SIMDJSON_RUST_VERSION
if (matches_filter("rust", filter)) {
printf("# Note: Rust/Serde structures updated to closely match C++ (indices field remains as array).\n");
// Create a Rust-compatible CitmCatalog structure from the JSON string
serde_benchmark::CitmCatalog* rust_data =
serde_benchmark::citm_from_str(json_str.c_str(), json_str.size());
if (rust_data == nullptr) {
printf("# Failed to initialize Rust data structure\n");
} else {
bench_rust(rust_data);
serde_benchmark::free_citm(rust_data);
}
}
#endif
#if SIMDJSON_BENCH_CPP_REFLECT
if (matches_filter("reflect_cpp", filter)) {
bench_reflect_cpp(my_struct);
}
#endif
return EXIT_SUCCESS;
}
@@ -1,68 +0,0 @@
#ifndef CITM_CATALOG_DATA_H
#define CITM_CATALOG_DATA_H
#include <string>
#include <vector>
#include <map>
#include <optional>
#include <cstdint>
// Price structure with simpler field names to avoid reflection issues
struct CITMPrice {
uint64_t amount;
uint64_t audience; // was audienceSubCategoryId
uint64_t seat; // was seatCategoryId
bool operator==(const CITMPrice&) const = default;
};
struct CITMArea {
uint64_t areaId;
std::vector<uint64_t> blockIds;
bool operator==(const CITMArea&) const = default;
};
struct CITMSeatCategory {
std::vector<CITMArea> areas;
uint64_t seatCategoryId;
bool operator==(const CITMSeatCategory&) const = default;
};
struct CITMPerformance {
uint64_t id;
uint64_t eventId;
std::optional<std::string> logo;
std::optional<std::string> name;
std::vector<CITMPrice> prices;
std::vector<CITMSeatCategory> seatCategories;
std::optional<std::string> seatMapImage;
uint64_t start;
std::string venueCode;
bool operator==(const CITMPerformance&) const = default;
};
struct CITMEvent {
uint64_t id;
std::string name;
std::optional<std::string> description;
std::optional<std::string> logo;
std::vector<uint64_t> subTopicIds;
std::optional<std::string> subjectCode;
std::optional<std::string> subtitle;
std::vector<uint64_t> topicIds;
bool operator==(const CITMEvent&) const = default;
};
struct CitmCatalog {
std::map<std::string, CITMEvent> events;
std::vector<CITMPerformance> performances;
bool operator==(const CitmCatalog&) const = default;
};
// Type aliases
using Event = CITMEvent;
using Performance = CITMPerformance;
using Price = CITMPrice;
using SeatArea = CITMArea;
using SeatCategoryInfo = CITMSeatCategory;
#endif
@@ -1,79 +0,0 @@
// nlohmann_citm_catalog_data.h
#ifndef NLOHMANN_CITM_CATALOG_DATA_H
#define NLOHMANN_CITM_CATALOG_DATA_H
#include "citm_catalog_data.h"
#include <nlohmann/json.hpp>
#include <string>
using json = nlohmann::json;
// ---- CITMPrice ----
inline void to_json(json &j, const CITMPrice &p) {
j = json{
{"amount", p.amount},
{"audienceSubCategoryId", p.audience},
{"seatCategoryId", p.seat}
};
}
// ---- CITMArea ----
inline void to_json(json &j, const CITMArea &a) {
j = json{
{"areaId", a.areaId},
{"blockIds", a.blockIds}
};
}
// ---- CITMSeatCategory ----
inline void to_json(json &j, const CITMSeatCategory &s) {
j = json{
{"areas", s.areas},
{"seatCategoryId", s.seatCategoryId}
};
}
// ---- CITMPerformance ----
inline void to_json(json &j, const CITMPerformance &p) {
j = json{
{"id", p.id},
{"eventId", p.eventId},
{"logo", p.logo},
{"name", p.name},
{"prices", p.prices},
{"seatCategories", p.seatCategories},
{"seatMapImage", p.seatMapImage},
{"start", p.start},
{"venueCode", p.venueCode}
};
}
// ---- CITMEvent ----
inline void to_json(json &j, const CITMEvent &e) {
j = json{
{"id", e.id},
{"name", e.name},
{"description", e.description},
{"logo", e.logo},
{"subTopicIds", e.subTopicIds},
{"subjectCode", e.subjectCode},
{"subtitle", e.subtitle},
{"topicIds", e.topicIds}
};
}
// ---- CitmCatalog ----
inline void to_json(json &j, const CitmCatalog &c) {
j = json{
{"events", c.events},
{"performances", c.performances}
};
}
// Serialization function
inline std::string nlohmann_serialize(const CitmCatalog &catalog) {
json j = catalog;
return j.dump();
}
#endif // NLOHMANN_CITM_CATALOG_DATA_H
-103
View File
@@ -1,103 +0,0 @@
# This file is automatically @generated by Cargo.
# It is not intended for manual editing.
version = 3
[[package]]
name = "itoa"
version = "1.0.11"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "49f1f14873335454500d59611f1cf4a4b0f786f9ac11f4312a78e4cf2566695b"
[[package]]
name = "libc"
version = "0.2.158"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "d8adc4bb1803a324070e64a98ae98f38934d91957a99cfb3a43dcbc01bc56439"
[[package]]
name = "memchr"
version = "2.7.4"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "78ca9ab1a0babb1e7d5695e3530886289c18cf2f87ec19a575a0abdce112e3a3"
[[package]]
name = "proc-macro2"
version = "1.0.86"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "5e719e8df665df0d1c8fbfd238015744736151d4445ec0836b8e628aae103b77"
dependencies = [
"unicode-ident",
]
[[package]]
name = "quote"
version = "1.0.37"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "b5b9d34b8991d19d98081b46eacdd8eb58c6f2b201139f7c5f643cc155a633af"
dependencies = [
"proc-macro2",
]
[[package]]
name = "ryu"
version = "1.0.18"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "f3cb5ba0dc43242ce17de99c180e96db90b235b8a9fdc9543c96d2209116bd9f"
[[package]]
name = "serde"
version = "1.0.209"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "99fce0ffe7310761ca6bf9faf5115afbc19688edd00171d81b1bb1b116c63e09"
dependencies = [
"serde_derive",
]
[[package]]
name = "serde-benchmark"
version = "0.1.0"
dependencies = [
"libc",
"serde",
"serde_json",
]
[[package]]
name = "serde_derive"
version = "1.0.209"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "a5831b979fd7b5439637af1752d535ff49f4860c0f341d1baeb6faf0f4242170"
dependencies = [
"proc-macro2",
"quote",
"syn",
]
[[package]]
name = "serde_json"
version = "1.0.127"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "8043c06d9f82bd7271361ed64f415fe5e12a77fdb52e573e7f06a516dea329ad"
dependencies = [
"itoa",
"memchr",
"ryu",
"serde",
]
[[package]]
name = "syn"
version = "2.0.76"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "578e081a14e0cefc3279b0472138c513f37b41a08d5a3cca9b6e4e8ceb6cd525"
dependencies = [
"proc-macro2",
"quote",
"unicode-ident",
]
[[package]]
name = "unicode-ident"
version = "1.0.12"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "3354b9ac3fae1ff6755cb6db53683adb661634f67557942dea4facebec0fee4b"
@@ -1,17 +0,0 @@
[package]
name = "serde-benchmark"
version = "0.1.0"
[lib]
path = "lib.rs"
crate-type = ["cdylib"]
[dependencies]
serde = { version = "1.0", features = ["derive"] }
libc = "0.2"
serde_json = "1.0"
[profile.release]
opt-level = 3
debug = false
lto = true
@@ -1,18 +0,0 @@
## Rust Serde FFI
This folder includes FFI bindings for rust/serde.
### Links
- https://github.com/eqrion/cbindgen/blob/master/docs.md
- https://gist.github.com/zbraniecki/b251714d77ffebbc73c03447f2b2c69f
- https://michael-f-bryan.github.io/rust-ffi-guide/setting_up.html
### Building
- Generating cbindgen output
- Install dependencies with `brew install cbindgen` or `apt-get install cbindgen` or `cargo install cbindgen` or the equivalent: we used `cargo install --version 0.23.0 cbindgen`.
- Go to the directory where this README.md file is located
- Generate with `cbindgen --config cbindgen.toml --crate serde-benchmark --output serde_benchmark.h`
- Building
- Run with `cargo build --release`
@@ -1,12 +0,0 @@
autogen_warning = "/* Warning, this file is autogenerated by cbindgen. Don't modify this manually. */"
include_version = true
braces = "SameLine"
line_length = 100
tab_width = 2
language = "C++"
namespaces = ["serde_benchmark"]
include_guard = "serde_benchmark_ffi_h"
[parse]
parse_deps = true
include = ["serde_json", "serde"]
@@ -1,444 +0,0 @@
extern crate serde;
extern crate serde_json;
extern crate libc;
use libc::{c_char, size_t};
use serde::{Serialize, Deserialize};
use std::{collections::HashMap, ffi::CString, ptr, slice};
use serde::de::{self, Deserializer};
/******************************************************/
/******************************************************/
/**
* Warning: the C++ code may not generate the same JSON.
*/
/******************************************************/
/******************************************************/
// Removed - not in C++ structure
// #[derive(Serialize, Deserialize)]
// pub struct Metadata {
// result_type: String,
// iso_language_code: String,
// }
#[derive(Serialize, Deserialize)]
pub struct User {
id: i64,
id_str: String,
name: String,
screen_name: String,
location: String,
description: String,
verified: bool,
followers_count: i64,
friends_count: i64,
statuses_count: i64,
}
#[derive(Serialize, Deserialize)]
pub struct Hashtag {
text: String,
indices: Vec<i64>, // Array in JSON, not separate fields
}
#[derive(Serialize, Deserialize)]
pub struct Url {
url: String,
expanded_url: String,
display_url: String,
indices: Vec<i64>, // Array in JSON, not separate fields
}
#[derive(Serialize, Deserialize)]
pub struct UserMention {
id: i64,
name: String,
screen_name: String,
indices: Vec<i64>, // Array in JSON, not separate fields
}
#[derive(Serialize, Deserialize)]
pub struct Entities {
hashtags: Vec<Hashtag>,
urls: Vec<Url>,
user_mentions: Vec<UserMention>,
}
#[derive(Serialize, Deserialize)]
pub struct Status {
created_at: String,
id: i64,
text: String,
user: User,
entities: Entities,
retweet_count: i64,
favorite_count: i64,
favorited: bool,
retweeted: bool,
// None of these are in the C++ equivalent:
/*
metadata: Metadata,
id_str: String,
source: String,
truncated: bool,
in_reply_to_status_id: Option<i64>,
in_reply_to_status_id_str: Option<String>,
in_reply_to_user_id: Option<i64>,
in_reply_to_user_id_str: Option<String>,
in_reply_to_screen_name: Option<String>,
geo: Option<String>,
coordinates: Option<String>,
place: Option<String>,
contributors: Option<String>,
lang: String,
*/
}
#[derive(Serialize, Deserialize)]
pub struct TwitterData {
statuses: Vec<Status>,
}
#[no_mangle]
pub unsafe extern "C" fn twitter_from_str(raw_input: *const c_char, raw_input_length: size_t) -> *mut TwitterData {
let input = std::str::from_utf8_unchecked(slice::from_raw_parts(raw_input as *const u8, raw_input_length));
match serde_json::from_str(&input) {
Ok(result) => Box::into_raw(Box::new(result)),
Err(_) => std::ptr::null_mut(),
}
}
#[no_mangle]
pub unsafe extern "C" fn str_from_twitter(raw: *mut TwitterData) -> *const c_char {
let twitter_thing = { &*raw };
let serialized = serde_json::to_string(&twitter_thing).unwrap();
return std::ffi::CString::new(serialized.as_str()).unwrap().into_raw()
}
#[no_mangle]
pub unsafe extern "C" fn free_twitter(raw: *mut TwitterData) {
if raw.is_null() {
return;
}
drop(Box::from_raw(raw))
}
#[no_mangle]
pub unsafe extern fn free_string(ptr: *const c_char) {
let _ = std::ffi::CString::from_raw(ptr as *mut _);
}
// Functions associated with the CitmCatalog benchmark
#[derive(Serialize, Deserialize)]
pub struct Area {
pub id: i64,
pub name: Option<String>, // Changed to Option
pub parent: i64,
#[serde(rename = "childAreas")]
pub child_areas: Vec<i64>,
}
#[derive(Serialize, Deserialize)]
pub struct AudienceSubCategory {
pub id: i64,
pub name: Option<String>, // Changed to Option
pub parent: i64,
}
#[derive(Serialize, Deserialize, Debug)]
pub struct Event {
#[serde(default)]
pub description: Option<String>,
pub id: i64,
#[serde(default)]
pub logo: Option<String>,
#[serde(default)]
pub name: Option<String>,
#[serde(default)]
pub subTopicIds: Vec<i64>,
#[serde(default)]
pub subjectCode: Option<String>,
#[serde(default)]
pub subtitle: Option<String>,
#[serde(default)]
pub topicIds: Vec<i64>,
// Add a catch-all for any other fields
#[serde(flatten)]
pub extra: HashMap<String, serde_json::Value>,
}
#[derive(Serialize, Deserialize, Debug)]
pub struct Performance {
#[serde(default)]
pub id: i64,
#[serde(default)]
pub name: Option<String>,
#[serde(default)]
pub event: i64,
// This is the key fix - accept any JSON value type for timestamps
// This allows both string dates and integer timestamps (line 3511)
#[serde(default)]
pub start: serde_json::Value,
#[serde(rename = "venueCode")]
pub venue_code: String,
// Add a catch-all for any other fields
#[serde(flatten)]
pub extra: HashMap<String, serde_json::Value>,
}
#[derive(Serialize, Deserialize)]
pub struct SeatCategory {
pub id: i64,
pub name: Option<String>, // Changed to Option
pub areas: Vec<i64>,
}
#[derive(Serialize, Deserialize)]
pub struct SubTopic {
pub id: i64,
pub name: Option<String>, // Changed to Option
pub parent: i64,
}
#[derive(Serialize, Deserialize)]
pub struct Topic {
pub id: i64,
pub name: Option<String>, // Changed to Option
}
#[derive(Serialize, Deserialize)]
pub struct Venue {
pub id: i64,
pub name: Option<String>, // Changed to Option
pub address: i64,
}
// Custom deserializers
fn deserialize_string_to_area<'de, D>(deserializer: D) -> Result<HashMap<String, Area>, D::Error>
where D: Deserializer<'de> {
let string_map: HashMap<String, String> = HashMap::deserialize(deserializer)?;
let mut result = HashMap::new();
for (id, name) in string_map {
let id_num = id.parse::<i64>().unwrap_or(0);
result.insert(id.clone(), Area {
id: id_num,
name: Some(name),
parent: 0,
child_areas: Vec::new(),
});
}
Ok(result)
}
fn deserialize_string_to_audience_subcategory<'de, D>(deserializer: D) -> Result<HashMap<String, AudienceSubCategory>, D::Error>
where D: Deserializer<'de> {
let string_map: HashMap<String, String> = HashMap::deserialize(deserializer)?;
let mut result = HashMap::new();
for (id, name) in string_map {
let id_num = id.parse::<i64>().unwrap_or(0);
result.insert(id.clone(), AudienceSubCategory {
id: id_num,
name: Some(name),
parent: 0,
});
}
Ok(result)
}
fn deserialize_string_to_seat_category<'de, D>(deserializer: D) -> Result<HashMap<String, SeatCategory>, D::Error>
where D: Deserializer<'de> {
let string_map: HashMap<String, String> = HashMap::deserialize(deserializer)?;
let mut result = HashMap::new();
for (id, name) in string_map {
let id_num = id.parse::<i64>().unwrap_or(0);
result.insert(id.clone(), SeatCategory {
id: id_num,
name: Some(name),
areas: Vec::new(),
});
}
Ok(result)
}
fn deserialize_string_to_subtopic<'de, D>(deserializer: D) -> Result<HashMap<String, SubTopic>, D::Error>
where D: Deserializer<'de> {
let string_map: HashMap<String, String> = HashMap::deserialize(deserializer)?;
let mut result = HashMap::new();
for (id, name) in string_map {
let id_num = id.parse::<i64>().unwrap_or(0);
result.insert(id.clone(), SubTopic {
id: id_num,
name: Some(name),
parent: 0,
});
}
Ok(result)
}
fn deserialize_string_to_topic<'de, D>(deserializer: D) -> Result<HashMap<String, Topic>, D::Error>
where D: Deserializer<'de> {
let string_map: HashMap<String, String> = HashMap::deserialize(deserializer)?;
let mut result = HashMap::new();
for (id, name) in string_map {
let id_num = id.parse::<i64>().unwrap_or(0);
result.insert(id.clone(), Topic {
id: id_num,
name: Some(name),
});
}
Ok(result)
}
fn deserialize_string_to_venue<'de, D>(deserializer: D) -> Result<HashMap<String, Venue>, D::Error>
where D: Deserializer<'de> {
let string_map: HashMap<String, String> = HashMap::deserialize(deserializer)?;
let mut result = HashMap::new();
for (id, name) in string_map {
result.insert(id.clone(), Venue {
id: 0,
name: Some(name),
address: 0,
});
}
Ok(result)
}
#[derive(Serialize, Deserialize, Debug)]
pub struct CitmCatalog {
#[serde(rename = "areaNames")]
pub area_names: HashMap<String, String>,
#[serde(rename = "audienceSubCategoryNames")]
pub audience_subcategory_names: HashMap<String, String>,
#[serde(default)]
#[serde(rename = "blockNames")]
pub block_names: HashMap<String, String>,
pub events: HashMap<String, Event>,
#[serde(default)]
pub performances: Vec<Performance>,
#[serde(rename = "seatCategoryNames")]
pub seat_category_names: HashMap<String, String>,
#[serde(rename = "subTopicNames")]
pub subtopic_names: HashMap<String, String>,
#[serde(default)]
#[serde(rename = "subjectNames")]
pub subject_names: HashMap<String, String>,
#[serde(rename = "topicNames")]
pub topic_names: HashMap<String, String>,
#[serde(rename = "topicSubTopics")]
pub topic_subtopics: HashMap<String, Vec<i64>>,
#[serde(rename = "venueNames")]
pub venue_names: HashMap<String, String>,
// Catch-all for other fields
#[serde(flatten)]
pub extra: HashMap<String, serde_json::Value>,
}
/// Creates a CitmCatalog from a JSON string (UTF-8 encoded).
#[no_mangle]
pub unsafe extern "C" fn citm_from_str(
raw_input: *const c_char,
raw_input_length: usize
) -> *mut CitmCatalog {
if raw_input.is_null() {
eprintln!("Error: Input pointer is null");
return ptr::null_mut();
}
// Convert the raw pointer + length into a Rust slice
let bytes = slice::from_raw_parts(raw_input as *const u8, raw_input_length);
let input_str = match std::str::from_utf8(bytes) {
Ok(s) => s,
Err(e) => {
eprintln!("Error: Invalid UTF-8 string: {}", e);
return ptr::null_mut();
}
};
// Try deserializing the input string into CitmCatalog
match serde_json::from_str::<CitmCatalog>(input_str) {
Ok(catalog) => Box::into_raw(Box::new(catalog)),
Err(e) => {
eprintln!("Error deserializing JSON: {}", e);
eprintln!("JSON snippet (first 200 chars): {:.200}...", input_str);
ptr::null_mut()
}
}
}
/// Serializes a CitmCatalog into a JSON string (UTF-8).
#[no_mangle]
pub unsafe extern "C" fn str_from_citm(raw_catalog: *mut CitmCatalog) -> *mut c_char {
if raw_catalog.is_null() {
eprintln!("Error: Catalog pointer is null");
return ptr::null_mut();
}
// Fix: Actually serialize the catalog
let catalog = &*raw_catalog;
match serde_json::to_string(catalog) {
Ok(serialized) => {
match CString::new(serialized) {
Ok(cstr) => cstr.into_raw(),
Err(e) => {
eprintln!("Error creating CString: {}", e);
ptr::null_mut()
}
}
},
Err(e) => {
eprintln!("Error serializing catalog to JSON: {}", e);
ptr::null_mut()
}
}
}
/// Frees the CitmCatalog pointer.
#[no_mangle]
pub unsafe extern "C" fn free_citm(raw_catalog: *mut CitmCatalog) {
if !raw_catalog.is_null() {
drop(Box::from_raw(raw_catalog));
}
}
#[no_mangle]
pub extern "C" fn free_str(ptr: *mut c_char) {
if !ptr.is_null() {
unsafe {
// Convert back into a CString, which automatically frees the memory
let _ = CString::from_raw(ptr);
}
}
}
@@ -1,45 +0,0 @@
#ifndef serde_benchmark_ffi_h
#define serde_benchmark_ffi_h
/* Generated with cbindgen:0.28.0 */
/* Warning, this file is autogenerated by cbindgen. Don't modify this manually. */
#include <cstdarg>
#include <cstdint>
#include <cstdlib>
#include <ostream>
#include <new>
namespace serde_benchmark {
struct CitmCatalog;
struct TwitterData;
extern "C" {
TwitterData *twitter_from_str(const char *raw_input, size_t raw_input_length);
const char *str_from_twitter(TwitterData *raw);
void free_twitter(TwitterData *raw);
void free_string(const char *ptr);
/// Creates a CitmCatalog from a JSON string (UTF-8 encoded).
CitmCatalog *citm_from_str(const char *raw_input, uintptr_t raw_input_length);
/// Serializes a CitmCatalog into a JSON string (UTF-8).
char *str_from_citm(CitmCatalog *raw_catalog);
/// Frees the CitmCatalog pointer.
void free_citm(CitmCatalog *raw_catalog);
void free_str(char *ptr);
} // extern "C"
} // namespace serde_benchmark
#endif // serde_benchmark_ffi_h
@@ -1,14 +0,0 @@
# Add executable targets
add_executable(benchmark_serialization_twitter benchmark_serialization_twitter.cpp)
if(TARGET serde-benchmark)
message(STATUS "serde-benchmark target was created. Linking benchmarks and serde-benchmark.")
target_link_libraries(benchmark_serialization_twitter PRIVATE serde-benchmark)
target_compile_definitions(benchmark_serialization_twitter PRIVATE SIMDJSON_RUST_VERSION="${Rust_VERSION}")
endif()
target_link_libraries(benchmark_serialization_twitter PRIVATE simdjson::simdjson nlohmann_json)
target_link_libraries(benchmark_serialization_twitter PRIVATE reflectcpp)
target_compile_definitions(benchmark_serialization_twitter PRIVATE SIMDJSON_BENCH_CPP_REFLECT=1)
target_compile_definitions(benchmark_serialization_twitter PRIVATE JSON_FILE="${EXAMPLE_JSON}")
@@ -1,206 +0,0 @@
#include <cassert>
#include <cstdlib>
#include <ctime>
#include <format>
#include <fstream>
#include <iostream>
#include <nlohmann/json.hpp>
#include <simdjson.h>
#include <string>
#include "twitter_data.h"
#include "nlohmann_twitter_data.h"
#include "../benchmark_utils/benchmark_helper.h"
#if SIMDJSON_BENCH_CPP_REFLECT
#include <rfl.hpp>
#include <rfl/json.hpp>
void bench_reflect_cpp(TwitterData &data) {
std::string output = rfl::json::write(data);
size_t output_volume = output.size();
printf("# output volume: %zu bytes\n", output_volume);
volatile size_t measured_volume = 0;
pretty_print(1, output_volume, "bench_reflect_cpp",
bench([&data, &measured_volume, &output_volume]() {
std::string output = rfl::json::write(data);
measured_volume = output.size();
if (measured_volume != output_volume) {
printf("mismatch\n");
}
}));
}
#endif // SIMDJSON_BENCH_CPP_REFLECT
#ifdef SIMDJSON_RUST_VERSION
#include "../serde-benchmark/serde_benchmark.h"
void bench_rust(serde_benchmark::TwitterData *data) {
const char * output = serde_benchmark::str_from_twitter(data);
size_t output_volume = strlen(output);
printf("# output volume: %zu bytes\n", output_volume);
volatile size_t measured_volume = 0;
pretty_print(1, output_volume, "bench_rust",
bench([&data, &measured_volume, &output_volume]() {
const char * output = serde_benchmark::str_from_twitter(data);
serde_benchmark::free_string(output);
}));
}
#endif
template <class T> void bench_simdjson_static_reflection(T &data) {
simdjson::builder::string_builder sb;
simdjson::builder::append(sb, data);
std::string_view p;
if(sb.view().get(p)) {
std::cerr << "Error!" << std::endl;
}
size_t output_volume = p.size();
sb.clear();
printf("# output volume: %zu bytes\n", output_volume);
volatile size_t measured_volume = 0;
pretty_print(sizeof(data), output_volume, "bench_simdjson_static_reflection",
bench([&data, &measured_volume, &output_volume, &sb]() {
sb.clear();
simdjson::builder::append(sb, data);
std::string_view p;
if(sb.view().get(p)) {
std::cerr << "Error!" << std::endl;
}
measured_volume = sb.size();
if (measured_volume != output_volume) {
printf("mismatch\n");
}
}));
}
#if SIMDJSON_STATIC_REFLECTION
template <class T> void bench_simdjson_to(T &data) {
std::string output = simdjson::to_json_string(data);
size_t output_volume = output.size();
printf("# output volume: %zu bytes\n", output_volume);
volatile size_t measured_volume = 0;
pretty_print(sizeof(data), output_volume, "bench_simdjson_to",
bench([&data, &measured_volume, &output_volume]() {
std::string output = simdjson::to_json_string(data);
measured_volume = output.size();
if (measured_volume != output_volume) {
printf("mismatch\n");
}
}));
}
#endif
void bench_nlohmann(TwitterData &data) {
std::string output = nlohmann_serialize(data);
size_t output_volume = output.size();
printf("# output volume: %zu bytes\n", output_volume);
volatile size_t measured_volume = 0;
pretty_print(1, output_volume, "bench_nlohmann",
bench([&data, &measured_volume, &output_volume]() {
std::string output = nlohmann_serialize(data);
measured_volume = output.size();
if (measured_volume != output_volume) {
printf("mismatch\n");
}
}));
}
size_t WriteCallback(void *contents, size_t size, size_t nmemb, void *userp) {
((std::string *)userp)->append((char *)contents, size * nmemb);
return size * nmemb;
}
std::string read_file(std::string filename) {
printf("# Reading file %s\n", filename.c_str());
constexpr size_t read_size = 4096;
auto stream = std::ifstream(filename.c_str());
stream.exceptions(std::ios_base::badbit);
std::string out;
std::string buf(read_size, '\0');
while (stream.read(&buf[0], read_size)) {
out.append(buf, 0, size_t(stream.gcount()));
}
out.append(buf, 0, size_t(stream.gcount()));
return out;
}
// Function to check if benchmark name matches any of the comma-separated filters
bool matches_filter(const std::string& benchmark_name, const std::string& filter) {
if (filter.empty()) return true;
// Split filter by comma
size_t start = 0;
size_t end = filter.find(',');
while (end != std::string::npos) {
std::string token = filter.substr(start, end - start);
if (benchmark_name.find(token) != std::string::npos) {
return true;
}
start = end + 1;
end = filter.find(',', start);
}
// Check last token
std::string token = filter.substr(start);
return benchmark_name.find(token) != std::string::npos;
}
int main(int argc, char* argv[]) {
std::string filter;
// Parse command-line arguments
for (int i = 1; i < argc; ++i) {
if (strcmp(argv[i], "-f") == 0 || strcmp(argv[i], "--filter") == 0) {
if (i + 1 < argc) {
filter = argv[++i];
} else {
std::cerr << "Error: -f/--filter requires an argument" << std::endl;
return EXIT_FAILURE;
}
}
}
// Testing correctness of round-trip (serialization + deserialization)
std::string json_str = read_file(JSON_FILE);
// Loading up the data into a structure.
simdjson::ondemand::parser parser;
simdjson::ondemand::document doc;
if(parser.iterate(simdjson::pad(json_str)).get(doc)) {
std::cerr << "Error loading the document!" << std::endl;
return EXIT_FAILURE;
}
TwitterData my_struct;
if(doc.get<TwitterData>().get(my_struct)) {
std::cerr << "Error loading TwitterData!" << std::endl;
return EXIT_FAILURE;
}
// Benchmarking the serialization
if (matches_filter("nlohmann", filter)) {
bench_nlohmann(my_struct);
}
if (matches_filter("simdjson_static_reflection", filter)) {
bench_simdjson_static_reflection(my_struct);
}
#if SIMDJSON_STATIC_REFLECTION
if (matches_filter("simdjson_to", filter)) {
bench_simdjson_to(my_struct);
}
#endif
#ifdef SIMDJSON_RUST_VERSION
if (matches_filter("rust", filter)) {
printf("# Note: Rust/Serde structures updated to closely match C++ (indices field remains as array).\n");
serde_benchmark::TwitterData * td = serde_benchmark::twitter_from_str(json_str.c_str(), json_str.size());
bench_rust(td);
serde_benchmark::free_twitter(td);
}
#endif
#if SIMDJSON_BENCH_CPP_REFLECT
if (matches_filter("reflect_cpp", filter)) {
bench_reflect_cpp(my_struct);
}
#endif
return EXIT_SUCCESS;
}
@@ -1,116 +0,0 @@
#ifndef NLOHMANN_TWITTER_DATA_H
#define NLOHMANN_TWITTER_DATA_H
#include "twitter_data.h"
#include <nlohmann/json.hpp>
void to_json(nlohmann::json &j, const User &u) {
j = nlohmann::json{{"id", u.id},
{"name", u.name},
{"screen_name", u.screen_name},
{"location", u.location},
{"description", u.description},
{"verified", u.verified},
{"followers_count", u.followers_count},
{"friends_count", u.friends_count},
{"statuses_count", u.statuses_count}};
}
void to_json(nlohmann::json &j, const Hashtag &h) {
j = nlohmann::json{{"text", h.text},
{"indices_start", h.indices_start},
{"indices_end", h.indices_end}};
}
void to_json(nlohmann::json &j, const Url &u) {
j = nlohmann::json{{"url", u.url},
{"expanded_url", u.expanded_url},
{"display_url", u.display_url},
{"indices_start", u.indices_start},
{"indices_end", u.indices_end}};
}
void to_json(nlohmann::json &j, const UserMention &um) {
j = nlohmann::json{{"id", um.id},
{"name", um.name},
{"screen_name", um.screen_name},
{"indices_start", um.indices_start},
{"indices_end", um.indices_end}};
}
void to_json(nlohmann::json &j, const Entities &e) {
j = nlohmann::json{{"hashtags", e.hashtags},
{"urls", e.urls},
{"user_mentions", e.user_mentions}};
}
void to_json(nlohmann::json &j, const Status &s) {
j = nlohmann::json{{"created_at", s.created_at},
{"id", s.id},
{"text", s.text},
{"user", s.user},
{"entities", s.entities},
{"retweet_count", s.retweet_count},
{"favorite_count", s.favorite_count},
{"favorited", s.favorited},
{"retweeted", s.retweeted}};
}
std::string nlohmann_serialize(const std::vector<Hashtag>& v) {
nlohmann::json a = nlohmann::json::array();
for(const Hashtag & h : v) {
a.push_back(nlohmann::json{{"text", h.text},
{"indices_start", h.indices_start},
{"indices_end", h.indices_end}});
}
return a.dump();
}
std::string nlohmann_serialize(const std::vector<Url>& v) {
nlohmann::json a = nlohmann::json::array();
for(const Url & u : v) {
a.push_back(nlohmann::json{{"url", u.url},
{"expanded_url", u.expanded_url},
{"display_url", u.display_url},
{"indices_start", u.indices_start},
{"indices_end", u.indices_end}});
}
return a.dump();
}
std::string nlohmann_serialize(const std::vector<UserMention>& v) {
nlohmann::json a = nlohmann::json::array();
for(const UserMention & um : v) {
a.push_back(nlohmann::json{{"id", um.id},
{"name", um.name},
{"screen_name", um.screen_name},
{"indices_start", um.indices_start},
{"indices_end", um.indices_end}});
}
return a.dump();
}
std::string nlohmann_serialize(const std::vector<Status>& v) {
nlohmann::json a = nlohmann::json::array();
for(const Status & s : v) {
a.push_back(nlohmann::json{{"created_at", s.created_at},
{"id", s.id},
{"text", s.text},
{"user", s.user},
{"entities", s.entities},
{"retweet_count", s.retweet_count},
{"favorite_count", s.favorite_count},
{"favorited", s.favorited},
{"retweeted", s.retweeted}});
}
return a.dump();
}
void to_json(nlohmann::json &j, const TwitterData &t) {
j = nlohmann::json{{"statuses", t.statuses}};
}
std::string nlohmann_serialize(const TwitterData &data) {
return nlohmann_serialize(data.statuses);
}
#endif // NLOHMANN_TWITTER_DATA_H
@@ -1,71 +0,0 @@
#ifndef TWITTER_DATA_H
#define TWITTER_DATA_H
#include <string>
#include <vector>
struct User {
int64_t id;
std::string id_str;
std::string name;
std::string screen_name;
std::string location;
std::string description;
bool verified;
int64_t followers_count;
int64_t friends_count;
int64_t statuses_count;
bool operator<=>(const User &other) const = default;
};
struct Hashtag {
std::string text;
int64_t indices_start;
int64_t indices_end;
bool operator<=>(const Hashtag &other) const = default;
};
struct Url {
std::string url;
std::string expanded_url;
std::string display_url;
int64_t indices_start;
int64_t indices_end;
bool operator<=>(const Url &other) const = default;
};
struct UserMention {
int64_t id;
std::string name;
std::string screen_name;
int64_t indices_start;
int64_t indices_end;
bool operator<=>(const UserMention &other) const = default;
};
struct Entities {
std::vector<Hashtag> hashtags;
std::vector<Url> urls;
std::vector<UserMention> user_mentions;
bool operator==(const Entities &other) const = default;
};
struct Status {
std::string created_at;
int64_t id;
std::string text;
User user;
Entities entities;
int64_t retweet_count;
int64_t favorite_count;
bool favorited;
bool retweeted;
bool operator==(const Status &other) const = default;
};
struct TwitterData {
std::vector<Status> statuses;
bool operator==(const TwitterData &other) const = default;
};
#endif
+2 -2
View File
@@ -26,8 +26,8 @@ struct nlohmann_json {
}
}
result.text = to_string(top_tweet["text"]);
result.screen_name = to_string(top_tweet["user"]["screen_name"]);
result.text = top_tweet["text"];
result.screen_name = top_tweet["user"]["screen_name"];
return result.retweet_count != -1;
}
};
File diff suppressed because it is too large Load Diff
-32
View File
@@ -1,32 +0,0 @@
#!/bin/bash
# Clean build script for simdjson reflection benchmark
set -e
# Get the directory where this script is located
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
# Navigate to simdjson root directory (where this script is located)
cd "$SCRIPT_DIR"
# Clean any existing build
rm -rf build
# Create new build directory
mkdir build
cd build
# Configure with the specified settings
cmake .. \
-DCMAKE_CXX_COMPILER=clang++ \
-DSIMDJSON_DEVELOPER_MODE=ON \
-DSIMDJSON_STATIC_REFLECTION=ON \
-DBUILD_SHARED_LIBS=OFF \
-DCMAKE_BUILD_TYPE=Release
# Build the specific target
make benchmark_serialization_twitter
echo "Build completed successfully!"
echo "To run the benchmark with simdjson static reflection filter, use:"
echo "./benchmark/static_reflect/twitter_benchmark/benchmark_serialization_twitter -f simdjson_static_reflection"
-113
View File
@@ -1,113 +0,0 @@
#!/bin/bash
# Build script for the unified JSON benchmark
# This compiles the benchmark with all available libraries
echo "Building Unified JSON Benchmark..."
# Check for dependencies directories
NLOHMANN_PATH=""
RAPIDJSON_PATH=""
SERDE_PATH=""
# Try multiple possible locations for dependencies
for dir in build build20 build26; do
if [ -d "$dir/_deps/nlohmann_json-src/include" ]; then
NLOHMANN_PATH="-I./$dir/_deps/nlohmann_json-src/include -DHAS_NLOHMANN"
echo "✓ Found nlohmann/json in $dir"
break
fi
done
if [ -z "$NLOHMANN_PATH" ]; then
echo "✗ nlohmann/json not found"
fi
for dir in build build20 build26; do
if [ -d "$dir/_deps/rapidjson-src/include" ]; then
RAPIDJSON_PATH="-I./$dir/_deps/rapidjson-src/include -DHAS_RAPIDJSON"
echo "✓ Found RapidJSON in $dir"
break
fi
done
if [ -z "$RAPIDJSON_PATH" ]; then
echo "✗ RapidJSON not found"
fi
# Check for Serde benchmark library (.so or .a)
if [ -f "benchmark/static_reflect/serde-benchmark/target/release/libserde_benchmark.so" ] || [ -f "benchmark/static_reflect/serde-benchmark/target/release/libserde_benchmark.a" ]; then
SERDE_PATH="-L./benchmark/static_reflect/serde-benchmark/target/release -lserde_benchmark -ldl -lpthread -DHAS_SERDE"
echo "✓ Found Serde benchmark library"
else
echo "✗ Serde benchmark library not found"
echo " To build it: cd benchmark/static_reflect/serde-benchmark && cargo build --release"
fi
# Check for yyjson
YYJSON_PATH=""
YYJSON_LIB=""
if [ -d "build/_deps/yyjson-src/src" ] || [ -f "build/dependencies/libyyjson.a" ]; then
if [ -f "build/dependencies/libyyjson.a" ]; then
YYJSON_PATH="-I./build/_deps/yyjson-src/src -DHAS_YYJSON"
YYJSON_LIB="build/dependencies/libyyjson.a"
echo "✓ Found yyjson library"
elif [ -f "build/_deps/yyjson-build/libyyjson.a" ]; then
YYJSON_PATH="-I./build/_deps/yyjson-src/src -DHAS_YYJSON"
YYJSON_LIB="build/_deps/yyjson-build/libyyjson.a"
echo "✓ Found yyjson library"
fi
else
echo "✗ yyjson not found"
fi
# Note: reflect-cpp disabled due to complex linking requirements
# REFLECTCPP_PATH=""
# Compile the benchmark
clang++ -std=c++26 \
-freflection \
-fexpansion-statements \
-stdlib=libc++ \
-DSIMDJSON_STATIC_REFLECTION=1 \
-DSIMDJSON_EXCEPTIONS=1 \
-I./include \
-I./benchmark/static_reflect/serde-benchmark \
$NLOHMANN_PATH \
$RAPIDJSON_PATH \
$YYJSON_PATH \
-O3 \
benchmark/unified_benchmark.cpp \
singleheader/simdjson.cpp \
$YYJSON_LIB \
$SERDE_PATH \
-o benchmark/unified_benchmark
if [ $? -eq 0 ]; then
echo ""
echo "Build successful! Run with: ./benchmark/unified_benchmark"
echo ""
echo "The benchmark will test:"
echo " - Twitter dataset (631KB)"
echo " - CITM Catalog dataset (1.7MB)"
echo ""
echo "With the following methods:"
echo " - simdjson manual parsing"
echo " - simdjson reflection parsing"
echo " - simdjson::from() API"
if [ ! -z "$NLOHMANN_PATH" ]; then
echo " - nlohmann/json"
fi
if [ ! -z "$RAPIDJSON_PATH" ]; then
echo " - RapidJSON"
fi
if [ ! -z "$SERDE_PATH" ]; then
echo " - Serde (Rust)"
fi
if [ ! -z "$REFLECTCPP_PATH" ]; then
echo " - reflect-cpp"
fi
else
echo "Build failed!"
exit 1
fi
-174
View File
@@ -1,174 +0,0 @@
#!/usr/bin/env python3
"""
Calculate statistics from ablation study results.
This script processes the CSV output from ablation_study.sh
and generates formatted statistical summaries.
"""
import sys
import csv
import os
from pathlib import Path
def read_csv_results(filename):
"""Read CSV results file and return data."""
results = []
try:
with open(filename, 'r') as f:
reader = csv.DictReader(f)
for row in reader:
results.append({
'variant': row['Variant'],
'mean': float(row['Mean_MB/s']),
'stdev': float(row['StdDev']),
'cv': float(row['CV%']),
'runs': int(row['Runs']),
'impact': float(row['Impact%']),
'compile_time': float(row['CompileTime_s'])
})
except FileNotFoundError:
return None
except Exception as e:
print(f"Error reading {filename}: {e}")
return None
return results
def print_results_table(title, results):
"""Print formatted results table."""
if not results:
return
print(f"\n{'='*80}")
print(f"{title}")
print(f"{'='*80}")
# Print header
print(f"\n{'Variant':<25} {'Mean (MB/s)':<12} {'Std Dev':<10} {'CV (%)':<8} {'Impact':<12} {'Compile (s)':<12}")
print(f"{'-'*25} {'-'*12} {'-'*10} {'-'*8} {'-'*12} {'-'*12}")
for result in results:
variant_display = result['variant'].replace('_', ' ').title()
if result['variant'] == 'baseline':
variant_display = "**Baseline**"
impact_str = "Reference"
else:
impact_str = f"{result['impact']:+.1f}%"
print(f"{variant_display:<25} {result['mean']:<12.2f} ±{result['stdev']:<8.2f} "
f"{result['cv']:<8.2f} {impact_str:<12} {result['compile_time']:<12.2f}")
def print_comparison_table(twitter_results, citm_results):
"""Print comparison table between Twitter and CITM results."""
if not twitter_results or not citm_results:
return
print(f"\n{'='*80}")
print("Performance Comparison: Twitter vs CITM")
print(f"{'='*80}")
print(f"\n{'Optimization':<25} {'Twitter Impact':<15} {'CITM Impact':<15} {'Difference':<20}")
print(f"{'-'*25} {'-'*15} {'-'*15} {'-'*20}")
# Create lookup dictionaries
twitter_dict = {r['variant']: r for r in twitter_results}
citm_dict = {r['variant']: r for r in citm_results}
for variant in ['no_consteval', 'no_simd_escaping', 'no_fast_digits', 'no_branch_hints', 'linear_growth']:
if variant in twitter_dict and variant in citm_dict:
twitter_impact = twitter_dict[variant]['impact']
citm_impact = citm_dict[variant]['impact']
variant_display = variant.replace('_', ' ').title()
diff_abs = abs(citm_impact - twitter_impact)
if abs(twitter_impact) > 0.1:
diff_factor = citm_impact / twitter_impact
diff_str = f"{diff_factor:.1f}x"
else:
diff_str = "Different direction"
print(f"{variant_display:<25} {twitter_impact:>+14.1f}% {citm_impact:>+14.1f}% {diff_str:<20}")
def print_summary_insights(twitter_results, citm_results):
"""Print summary insights from the ablation study."""
print(f"\n{'='*80}")
print("Key Insights")
print(f"{'='*80}\n")
if twitter_results and citm_results:
# Find baseline performance
twitter_baseline = next((r['mean'] for r in twitter_results if r['variant'] == 'baseline'), 0)
citm_baseline = next((r['mean'] for r in citm_results if r['variant'] == 'baseline'), 0)
print(f"1. Baseline Performance:")
print(f" - Twitter: {twitter_baseline:.2f} MB/s")
print(f" - CITM: {citm_baseline:.2f} MB/s")
print(f" - CITM is {((citm_baseline / twitter_baseline - 1) * 100):.1f}% slower than Twitter\n")
# Find most impactful optimizations
print(f"2. Most Impactful Optimizations:")
all_impacts = []
for r in twitter_results[1:]: # Skip baseline
all_impacts.append(('Twitter', r['variant'], r['impact']))
for r in citm_results[1:]: # Skip baseline
all_impacts.append(('CITM', r['variant'], r['impact']))
all_impacts.sort(key=lambda x: abs(x[2]), reverse=True)
for i, (bench, variant, impact) in enumerate(all_impacts[:5]):
variant_display = variant.replace('_', ' ').title()
print(f" {i+1}. {variant_display} on {bench}: {impact:+.1f}%")
print(f"\n3. Variance Analysis:")
twitter_cv = next((r['cv'] for r in twitter_results if r['variant'] == 'baseline'), 0)
citm_cv = next((r['cv'] for r in citm_results if r['variant'] == 'baseline'), 0)
print(f" - Twitter baseline CV: {twitter_cv:.2f}%")
print(f" - CITM baseline CV: {citm_cv:.2f}%")
print(f" - CITM shows {citm_cv / twitter_cv:.1f}x higher variance than Twitter")
def main():
# Default to ablation_results directory
results_dir = "ablation_results"
# Allow custom directory as argument
if len(sys.argv) > 1:
results_dir = sys.argv[1]
# Check if directory exists
if not os.path.exists(results_dir):
print(f"Error: Results directory '{results_dir}' not found.")
print("Please run ablation_study.sh first.")
sys.exit(1)
# Read results files
twitter_file = os.path.join(results_dir, "twitter_ablation_results.csv")
citm_file = os.path.join(results_dir, "citm_ablation_results.csv")
twitter_results = read_csv_results(twitter_file)
citm_results = read_csv_results(citm_file)
if not twitter_results and not citm_results:
print("No results found. Please run ablation_study.sh first.")
sys.exit(1)
# Print results
if twitter_results:
print_results_table("Twitter Benchmark Results", twitter_results)
if citm_results:
print_results_table("CITM Benchmark Results", citm_results)
if twitter_results and citm_results:
print_comparison_table(twitter_results, citm_results)
print_summary_insights(twitter_results, citm_results)
print(f"\n{'='*80}")
print("Statistical Analysis Complete")
print(f"{'='*80}")
if __name__ == "__main__":
main()
-24
View File
@@ -1,24 +0,0 @@
# SPDX-License-Identifier: MIT
#
# SPDX-FileCopyrightText: Copyright (c) 2019-2023 Lars Melchior and contributors
set(CPM_DOWNLOAD_VERSION 0.40.2)
set(CPM_HASH_SUM "c8cdc32c03816538ce22781ed72964dc864b2a34a310d3b7104812a5ca2d835d")
if(CPM_SOURCE_CACHE)
set(CPM_DOWNLOAD_LOCATION "${CPM_SOURCE_CACHE}/cpm/CPM_${CPM_DOWNLOAD_VERSION}.cmake")
elseif(DEFINED ENV{CPM_SOURCE_CACHE})
set(CPM_DOWNLOAD_LOCATION "$ENV{CPM_SOURCE_CACHE}/cpm/CPM_${CPM_DOWNLOAD_VERSION}.cmake")
else()
set(CPM_DOWNLOAD_LOCATION "${CMAKE_BINARY_DIR}/cmake/CPM_${CPM_DOWNLOAD_VERSION}.cmake")
endif()
# Expand relative path. This is important if the provided path contains a tilde (~)
get_filename_component(CPM_DOWNLOAD_LOCATION ${CPM_DOWNLOAD_LOCATION} ABSOLUTE)
file(DOWNLOAD
https://github.com/cpm-cmake/CPM.cmake/releases/download/v${CPM_DOWNLOAD_VERSION}/CPM.cmake
${CPM_DOWNLOAD_LOCATION} EXPECTED_HASH SHA256=${CPM_HASH_SUM}
)
include(${CPM_DOWNLOAD_LOCATION})
+7 -12
View File
@@ -2,10 +2,7 @@
# Flags used by exes and by the simdjson library (project-wide flags)
#
add_library(simdjson-internal-flags INTERFACE)
if(NOT DEFINED CMAKE_POSITION_INDEPENDENT_CODE)
# We default to ON for all targets, so that we can use the library in shared libraries.
set_target_properties(simdjson-internal-flags PROPERTIES POSITION_INDEPENDENT_CODE ON)
endif(NOT DEFINED CMAKE_POSITION_INDEPENDENT_CODE)
option(SIMDJSON_CHECK_EOF "Check for the end of the input buffer. The setting is unnecessary since we require padding of the inputs. You should expect tests to fail with this option turned on." OFF)
if(SIMDJSON_CHECK_EOF)
@@ -55,6 +52,7 @@ endif()
option(SIMDJSON_SANITIZE_MEMORY "Sanitize memory" OFF)
if(SIMDJSON_SANITIZE_MEMORY)
message(STATUS "Setting the memory sanitizer.")
add_compile_options(
@@ -112,14 +110,8 @@ endif()
# We compile tools, tests, etc. with C++ 17. Override yourself if you need on a
# target.
if(SIMDJSON_STATIC_REFLECTION)
# This is temporary.
set(SIMDJSON_CXX_STANDARD 26 CACHE STRING "the C++ standard to use for simdjson")
#set(CMAKE_CXX_STANDARD ${SIMDJSON_CXX_STANDARD})
else()
set(SIMDJSON_CXX_STANDARD 17 CACHE STRING "the C++ standard to use for simdjson")
set(CMAKE_CXX_STANDARD ${SIMDJSON_CXX_STANDARD})
endif()
set(SIMDJSON_CXX_STANDARD 17 CACHE STRING "the C++ standard to use for simdjson")
set(CMAKE_CXX_STANDARD ${SIMDJSON_CXX_STANDARD})
set(CMAKE_CXX_STANDARD_REQUIRED ON)
set(CMAKE_CXX_EXTENSIONS OFF)
set(CMAKE_THREAD_PREFER_PTHREAD ON)
@@ -166,6 +158,9 @@ We recommend Visual Studio 2019 or better on a 64-bit system.")
add_compile_options(/Zi)
endif()
else()
if(NOT WIN32)
target_compile_options(simdjson-internal-flags INTERFACE -fPIC)
endif()
target_compile_options(
simdjson-internal-flags INTERFACE
-Werror -Wall -Wextra -Weffc++ -Wsign-compare -Wshadow -Wwrite-strings
-83
View File
@@ -1,83 +0,0 @@
#!/usr/bin/env python3
import sys
import json
def parse_perf_script(input_file, output_file):
"""Convert perf script output to Perfetto JSON format"""
samples = []
current_sample = None
with open(input_file, 'r') as f:
for line in f:
line = line.strip()
if not line:
continue
# New sample line
if 'cpu-clock:pppH:' in line:
if current_sample and current_sample['stack']:
samples.append(current_sample)
parts = line.split()
timestamp = float(parts[2].rstrip(':')) * 1000000 # Convert to microseconds
current_sample = {
'ts': timestamp,
'stack': [],
'name': 'cpu-clock'
}
# Stack frame
elif line.startswith('\t') and current_sample:
# Extract function name from the line
parts = line.strip().split()
if len(parts) >= 2:
func_info = parts[1]
# Clean up function name
if '+' in func_info:
func_name = func_info.split('+')[0]
else:
func_name = func_info
# Skip unknown symbols
if func_name != '[unknown]':
current_sample['stack'].append(func_name)
# Add last sample
if current_sample and current_sample['stack']:
samples.append(current_sample)
# Create Perfetto trace format
trace = {
'traceEvents': [],
'samples': [],
'stacks': {}
}
# Convert to Perfetto sampling profiler format
for i, sample in enumerate(samples):
if sample['stack']:
# Reverse stack for bottom-up view
stack = list(reversed(sample['stack']))
# Create a stack ID
stack_id = str(i)
trace['stacks'][stack_id] = stack
# Add sample event
trace['samples'].append({
'ts': sample['ts'],
'sf': stack_id, # Stack frame ID
'pid': 1,
'tid': 1,
'weight': 1
})
# Write JSON output
with open(output_file, 'w') as f:
json.dump(trace, f, indent=2)
print(f"Converted {len(samples)} samples to Perfetto format")
print(f"Output written to {output_file}")
if __name__ == "__main__":
parse_perf_script("perf_simdjson_serialization.txt", "perf_simdjson_perfetto.json")
+42 -73
View File
@@ -1,4 +1,5 @@
include(CMakeDependentOption)
include(import.cmake)
option(SIMDJSON_ALLOW_DOWNLOADS
"Allow dependencies to be downloaded during configure time"
@@ -7,24 +8,20 @@ option(SIMDJSON_ALLOW_DOWNLOADS
cmake_dependent_option(SIMDJSON_COMPETITION "Compile competitive benchmarks" ON
SIMDJSON_ALLOW_DOWNLOADS OFF)
cmake_dependent_option(SIMDJSON_GOOGLE_BENCHMARKS "compile the Google Benchmark benchmarks" ON
"SIMDJSON_ALLOW_DOWNLOADS OR MINGW" OFF)
SIMDJSON_ALLOW_DOWNLOADS OFF)
if(SIMDJSON_GOOGLE_BENCHMARKS)
CPMAddPackage(
NAME google_benchmarks
URL https://github.com/google/benchmark/archive/refs/tags/v1.9.4.zip
OPTIONS
"BENCHMARK_ENABLE_TESTING OFF"
"BENCHMARK_ENABLE_INSTALL OFF"
"BENCHMARK_ENABLE_WERROR OFF"
)
set_off(BENCHMARK_ENABLE_TESTING)
set_off(BENCHMARK_ENABLE_INSTALL)
set_off(BENCHMARK_ENABLE_WERROR)
import_dependency(google_benchmarks google/benchmark v1.7.1)
add_dependency(google_benchmarks)
endif()
CPMAddPackage(
NAME simdjson-data
URL https://github.com/simdjson/simdjson-data/archive/351949906abde446f0314bf79606fb5d884f5be7.zip
)
# The bulk of our benchmarking and testing data has been moved simdjson/simdjson-data
import_dependency(simdjson-data simdjson/simdjson-data a5b13babe65c1bba7186b41b43d4cbdc20a5c470)
add_dependency(simdjson-data)
option(SIMDJSON_USE_BOOST_JSON "Try to include BOOST_JSON, this may break your binaries under some systems." OFF)
# This prevents variables declared with set() from unnecessarily escaping and
# should not be called more than once
@@ -41,30 +38,20 @@ function(competition_scope_)
int main() {}
]] SIMDJSON_FOUND_STRING_VIEW)
if(SIMDJSON_FOUND_STRING_VIEW AND SIMDJSON_USE_BOOST_JSON)
CPMAddPackage(
NAME boostjson
URL https://github.com/boostorg/json/archive/ee8d72d8502b409b5561200299cad30ccdb91415.zip
)
import_dependency(boostjson boostorg/json ee8d72d)
add_library(boostjson STATIC "${boostjson_SOURCE_DIR}/src/src.cpp")
target_compile_definitions(boostjson PUBLIC BOOST_JSON_STANDALONE)
target_include_directories(boostjson SYSTEM PUBLIC
"${boostjson_SOURCE_DIR}/include")
target_compile_definitions(boostjson INTERFACE SIMDJSON_COMPETITION_BOOSTJSON)
endif()
CPMAddPackage(
NAME cjson
URL https://github.com/DaveGamble/cJSON/archive/c69134d01746dcf551dd7724b4edb12f922eb0d1.zip
DOWNLOAD_ONLY YES
)
import_dependency(cjson DaveGamble/cJSON c69134d)
add_library(cjson STATIC "${cjson_SOURCE_DIR}/cJSON.c")
target_include_directories(cjson SYSTEM PUBLIC "${cjson_SOURCE_DIR}")
target_compile_definitions(cjson INTERFACE SIMDJSON_COMPETITION_CJSON)
CPMAddPackage(
NAME fastjson
URL https://github.com/mikeando/fastjson/archive/485f994a61a64ac73fa6a40d4d639b99b463563b.zip
DOWNLOAD_ONLY YES
)
import_dependency(fastjson mikeando/fastjson 485f994)
add_library(fastjson STATIC
"${fastjson_SOURCE_DIR}/src/fastjson.cpp"
"${fastjson_SOURCE_DIR}/src/fastjson2.cpp"
@@ -73,42 +60,38 @@ int main() {}
"${fastjson_SOURCE_DIR}/include")
target_compile_definitions(fastjson INTERFACE SIMDJSON_COMPETITION_FASTJSON)
CPMAddPackage(
NAME gason
URL https://github.com/vivkin/gason/archive/7aee524189da1c1ecd19f67981e3d903dae25470.zip
DOWNLOAD_ONLY YES
)
import_dependency(gason vivkin/gason 7aee524)
add_library(gason STATIC "${gason_SOURCE_DIR}/src/gason.cpp")
target_include_directories(gason SYSTEM PUBLIC "${gason_SOURCE_DIR}/src")
target_compile_definitions(gason INTERFACE SIMDJSON_COMPETITION_GASON)
CPMAddPackage(
NAME jsmn
URL https://github.com/zserge/jsmn/archive/18e9fe42cbfe21d65076f5c77ae2be379ad1270f.zip
DOWNLOAD_ONLY YES
)
import_dependency(jsmn zserge/jsmn 18e9fe4)
add_library(jsmn STATIC "${jsmn_SOURCE_DIR}/jsmn.c")
target_include_directories(jsmn SYSTEM PUBLIC "${jsmn_SOURCE_DIR}")
target_compile_definitions(jsmn INTERFACE SIMDJSON_COMPETITION_JSMN)
CPMAddPackage(
NAME nlohmann_json
URL https://github.com/nlohmann/json/archive/refs/tags/v3.12.0.zip
)
set_property(TARGET nlohmann_json APPEND PROPERTY INTERFACE_COMPILE_DEFINITIONS SIMDJSON_COMPETITION_NLOHMANN_JSON)
message(STATUS "Importing json (nlohmann/json@v3.10.5)")
set(nlohmann_json_SOURCE_DIR "${dep_root}/json")
if(NOT EXISTS "${nlohmann_json_SOURCE_DIR}")
file(DOWNLOAD
"https://github.com/nlohmann/json/releases/download/v3.10.5/json.hpp"
"${nlohmann_json_SOURCE_DIR}/nlohmann/json.hpp")
endif()
add_library(nlohmann_json INTERFACE)
target_include_directories(nlohmann_json SYSTEM INTERFACE "${nlohmann_json_SOURCE_DIR}")
target_compile_definitions(nlohmann_json INTERFACE SIMDJSON_COMPETITION_NLOHMANN_JSON)
import_dependency(json11 dropbox/json11 ec4e452)
add_library(json11 STATIC "${json11_SOURCE_DIR}/json11.cpp")
target_include_directories(json11 SYSTEM PUBLIC "${json11_SOURCE_DIR}")
target_compile_definitions(json11 INTERFACE SIMDJSON_COMPETITION_JSON11)
set(jsoncpp_SOURCE_DIR "${simdjson_SOURCE_DIR}/dependencies/jsoncppdist")
add_library(jsoncpp STATIC "${jsoncpp_SOURCE_DIR}/jsoncpp.cpp")
target_include_directories(jsoncpp SYSTEM PUBLIC "${jsoncpp_SOURCE_DIR}")
target_compile_definitions(jsoncpp INTERFACE SIMDJSON_COMPETITION_JSONCPP)
CPMAddPackage(
NAME rapidjson
URL https://github.com/Tencent/rapidjson/archive/805d7ed5dfe97a39b8b0816fd5eeed8731dc4936.zip
DOWNLOAD_ONLY YES
)
import_dependency(rapidjson Tencent/rapidjson f54b0e4)
add_library(rapidjson INTERFACE)
target_compile_definitions(rapidjson INTERFACE RAPIDJSON_HAS_STDSTRING)
include (TestBigEndian)
@@ -127,22 +110,14 @@ int main() {}
target_compile_definitions(rapidjson INTERFACE SIMDJSON_COMPETITION_RAPIDJSON)
endif()
CPMAddPackage(
NAME sajson
URL https://github.com/chadaustin/sajson/archive/2dcfd350586375f9910f74821d4f07d67ae455ba.zip
DOWNLOAD_ONLY YES
)
import_dependency(sajson chadaustin/sajson 2dcfd35)
add_library(sajson INTERFACE)
target_compile_definitions(sajson INTERFACE SAJSON_UNSORTED_OBJECT_KEYS)
target_include_directories(sajson SYSTEM INTERFACE
"${sajson_SOURCE_DIR}/include")
target_compile_definitions(sajson INTERFACE SIMDJSON_COMPETITION_SAJSON)
CPMAddPackage(
NAME ujson4c
URL https://github.com/esnme/ujson4c/archive/e14f3fd5207fe30d1bdea723f260609e69d1abfa.zip
DOWNLOAD_ONLY YES
)
import_dependency(ujson4c esnme/ujson4c e14f3fd)
add_library(ujson4c STATIC
"${ujson4c_SOURCE_DIR}/src/ujdecode.c"
"${ujson4c_SOURCE_DIR}/3rdparty/ultrajsondec.c")
@@ -151,11 +126,7 @@ int main() {}
"${ujson4c_SOURCE_DIR}/3rdparty")
target_compile_definitions(ujson4c INTERFACE SIMDJSON_COMPETITION_UJSON4C)
CPMAddPackage(
NAME yyjson
URL https://github.com/ibireme/yyjson/archive/c3856514de0a67d7b66939bf3ed491a2d6e61277.zip
DOWNLOAD_ONLY YES
)
import_dependency(yyjson ibireme/yyjson c385651)
add_library(yyjson STATIC "${yyjson_SOURCE_DIR}/src/yyjson.c")
target_include_directories(yyjson SYSTEM PUBLIC "${yyjson_SOURCE_DIR}/src")
target_compile_definitions(yyjson INTERFACE SIMDJSON_COMPETITION_YYJSON)
@@ -169,7 +140,7 @@ int main() {}
endif()
add_library(competition-all INTERFACE)
target_link_libraries(competition-all INTERFACE competition-core jsoncpp fastjson gason ujson4c)
target_link_libraries(competition-all INTERFACE competition-core jsoncpp json11 fastjson gason ujson4c)
endfunction()
if(SIMDJSON_COMPETITION)
@@ -180,12 +151,10 @@ cmake_dependent_option(SIMDJSON_CXXOPTS "Download cxxopts (necessary for tools)"
SIMDJSON_ALLOW_DOWNLOADS OFF)
if(SIMDJSON_CXXOPTS)
CPMAddPackage(
NAME cxxopts
URL https://github.com/jarro2783/cxxopts/archive/59656709c0c58fcd0ed18b38e02938dbe05284c5.zip
OPTIONS
"CXXOPTS_BUILD_EXAMPLES OFF"
"CXXOPTS_BUILD_TESTS OFF"
"CXXOPTS_ENABLE_INSTALL OFF"
)
set_off(CXXOPTS_BUILD_EXAMPLES)
set_off(CXXOPTS_BUILD_TESTS)
set_off(CXXOPTS_ENABLE_INSTALL)
import_dependency(cxxopts jarro2783/cxxopts 5965670)
add_dependency(cxxopts)
endif()
+48
View File
@@ -0,0 +1,48 @@
set(dep_root "${simdjson_SOURCE_DIR}/dependencies/.cache")
if(DEFINED ENV{simdjson_DEPENDENCY_CACHE_DIR})
set(dep_root "$ENV{simdjson_DEPENDENCY_CACHE_DIR}")
endif()
function(import_dependency NAME GITHUB_REPO COMMIT)
message(STATUS "Importing ${NAME} (${GITHUB_REPO}@${COMMIT})")
set(target "${dep_root}/${NAME}")
# If the folder exists in the cache, then we assume that everything is as
# should be and do nothing
if(EXISTS "${target}")
set("${NAME}_SOURCE_DIR" "${target}" PARENT_SCOPE)
return()
endif()
set(zip_url "https://github.com/${GITHUB_REPO}/archive/${COMMIT}.zip")
set(archive "${dep_root}/archive.zip")
set(dest "${dep_root}/_extract")
file(DOWNLOAD "${zip_url}" "${archive}")
file(MAKE_DIRECTORY "${dest}")
execute_process(
WORKING_DIRECTORY "${dest}"
COMMAND "${CMAKE_COMMAND}" -E tar xf "${archive}")
file(REMOVE "${archive}")
# GitHub archives only ever have one folder component at the root, so this
# will always match that single folder
file(GLOB dir LIST_DIRECTORIES YES "${dest}/*")
file(RENAME "${dir}" "${target}")
set("${NAME}_SOURCE_DIR" "${target}" PARENT_SCOPE)
endfunction()
# Delegates to the dependency
macro(add_dependency NAME)
if(NOT DEFINED "${NAME}_SOURCE_DIR")
message(FATAL_ERROR "Missing ${NAME}_SOURCE_DIR variable")
endif()
add_subdirectory("${${NAME}_SOURCE_DIR}" "${PROJECT_BINARY_DIR}/_deps/${NAME}" EXCLUDE_FROM_ALL)
endmacro()
function(set_off NAME)
set("${NAME}" OFF CACHE INTERNAL "")
endfunction()
+157 -601
View File
File diff suppressed because it is too large Load Diff
-256
View File
@@ -1,256 +0,0 @@
Builder
==========
Sometimes you want to generate JSON string outputs efficiently.
The simdjson library provides high-performance low-level facilities.
When using these low-level functionalities, you are responsible to
define the structure of your JSON document. Our more advanced interface
automates the process using C++26 static reflection: you get both high
speed and high convenience.
- [Builder](#builder)
* [Overview: string_builder](#overview--string-builder)
* [Example: string_builder](#example--string-builder)
* [C++26 static reflection](#c--26-static-reflection)
+ [Without `string_buffer` instance](#without--string-buffer--instance)
+ [Without `string_buffer` instance but with explicit error handling](#without--string-buffer--instance-but-with-explicit-error-handling)
Overview: string_builder
---------------------------
The string_builder class is a low-level utility for constructing JSON strings representing documents. It is optimized for performance, potentially leveraging kernel-specific features like SIMD instructions for tasks such as string escaping. This class supports atomic types (e.g., booleans, numbers, strings) but does not handle composed types directly (like arrays or objects).
Note that JSON strings are always encoded as UTF-8.
An `string_builder` is created with an initial buffer capacity (e.g., 1kB). The memory
is reallocated when needed.
The efficiency of `string_builder` stems from its internal use of a resizable array or buffer. When you append data, it adds the characters to this buffer, resizing it only when necessary, typically in a way that minimizes reallocations. This approach contrasts with regular string concatenation, where each operation creates a new string, copying all previous content, leading to quadratic time complexity for repeated concatenations.
It has the following methods to add content to the string:
- `append(number_type v)`: Appends a number (including booleans) to the JSON buffer. Booleans are converted to the strings "false" or "true". Numbers are formatted according to the JSON standard, with floating-point numbers using the shortest representation that accurately reflects the value.
- `append(char c)`: Appends a single character to the JSON buffer.
- `append_null()`: Appends the string "null" to the JSON buffer.
- `clear()`: Clears the contents of the JSON buffer, resetting the position to 0 while retaining the allocated capacity.
- `escape_and_append(std::string_view input)`: Appends a string view to the JSON buffer after escaping special characters (e.g., quotes, backslashes) as required by JSON.
- `escape_and_append_with_quotes(std::string_view input)` Appends a string view surrounded by double quotes (e.g., "input") to the JSON buffer after escaping special characters.
Parameters:
- `escape_and_append_with_quotes(char input)`: Appends a single character surrounded by double quotes (e.g., "c") to the JSON buffer after escaping it if necessary.
- `append_raw(const char *c)`: Appends a null-terminated C string directly to the JSON buffer without escaping.
- `append_raw(std::string_view input)`: Appends a string view directly to the JSON buffer without escaping.
- `append_raw(const char *str, size_t len)`: Appends a specified number of characters from a C string directly to the JSON
After writting the content, if you have reasons to believe that the content might violate UTF-8 conventions, you can check it as follows:
- `validate_unicode()`: Checks if the content in the JSON buffer is valid UTF-8. Returns: true if the content is valid UTF-8, false otherwise.
You might need to do unicode validation if you have strings in your data structures containing
malformed UTF-8.
Once you are satisfied, you can recover the string as follows:
- `operator std::string()`: Converts the JSON buffer to an std::string. (Might throw if an error occurred.)
- `operator std::string_view()`: Converts the JSON buffer to an std::string_view. (Might throw if an error occurred.)
- `view()`: Returns a view of the written JSON buffer as a `simdjson_result<std::string_view>`.
The later method (`view()`) is recommended.
Example: string_builder
---------------------------
```C++
struct Car {
std::string make;
std::string model;
int64_t year;
std::vector<double> tire_pressure;
};
void serialize_car(const Car& car, simdjson::builder::string_builder& builder) {
// start of JSON
builder.start_object();
// "make"
builder.append_key_value("make", car.make);
builder.append_comma();
// "model"
builder.append_key_value("model", car.model);
builder.append_comma();
// "year"
builder.append_key_value("year", car.year);
builder.append_comma();
// "tire_pressure"
builder.escape_and_append_with_quotes("tire_pressure");
builder.append_colon();
builder.start_array();
// vector tire_pressure
for (size_t i = 0; i < car.tire_pressure.size(); ++i) {
builder.append(car.tire_pressure[i]);
if (i < car.tire_pressure.size() - 1) {
builder.append_comma();
}
}
builder.end_array();
builder.end_object();
}
bool car_test() {
simdjson::builder::string_builder sb;
Car c = {"Toyota", "Corolla", 2017, {30.0,30.2,30.513,30.79}};
serialize_car(c, sb);
std::string_view p{sb};
// p holds the JSON:
// "{\"make\":\"Toyota\",\"model\":\"Corolla\",\"year\":2017,\"tire_pressure\":[30.0,30.2,30.513,30.79]}"
return true;
}
```
The `string_builder` constructor takes an optional parameter which specifies the initial
memory allocation in byte. If you know approximately the size of your JSON output, you can
pass this value as a parameter (e.g., `simdjson::builder::string_builder sb{1233213}`).
The `string_builder` might throw an exception in case of error when you cast it result to `std::string_view`. If you wish to avoid exceptions, you can use the following programming pattern:
```cpp
std::string_view p;
if(sb.view().get(p)) {
return false; // there was an error
}
```
In all cases, the `std::string_view` instance depends the corresponding `string_builder` instance.
### C++20
If you have C++20, you can simplify the code, as the `std::vector<double>` is automatically
supported.
```cpp
Car c = {"Toyota", "Corolla", 2017, {30.0,30.2,30.513,30.79}};
simdjson::builder::string_builder sb;
sb.start_object();
sb.append_key_value("make", c.make);
sb.append_comma();
sb.append_key_value("model", c.model);
sb.append_comma();
sb.append_key_value("year", c.year);
sb.append_comma();
sb.append_key_value("tire_pressure", c.tire_pressure);
sb.end_object();
std::string_view p = sb.view();
```
With C++20, you can similarly handle standard containers transparently.
For example, you can serialize `std::map<std::string,T>` types.
```cpp
std::map<std::string,double> c = {{"key1", 1}, {"key2", 1}};
simdjson::builder::string_builder sb;
sb.append(c);
std::string_view p = sb.view();
```
You can also serialize `std::vector<T>` types.
```cpp
std::vector<std::vector<double>> c = {{1.0, 2.0}, {3.0, 4.0}};
simdjson::builder::string_builder sb;
sb.append(c);
std::string_view p = sb.view();
```
You can also skip the creation for the `string_builder` instance in such simple cases.
```cpp
std::vector<std::vector<double>> c = {{1.0, 2.0}, {3.0, 4.0}};
std::string json = simdjson::to_json(c);
```
We do recommend that you create and reuse the `string_builder` instance for performance
reasons.
C++26 static reflection
------------------------
Static reflection (or compile-time reflection) in C++26 introduces a powerful compile-time mechanism that allows a program to inspect and manipulate its own structure, such as types, variables, functions, and other program elements, during compilation. Unlike runtime reflection in languages like Java or Python, C++26s static reflection operates entirely at compile time, aligning with C++s emphasis on zero-overhead abstractions and high performance. It means
that you can delegate much of the work to the library.
If you have a compiler with support C++26 static reflection, you can compile
your code with the `SIMDJSON_STATIC_REFLECTION` macro set:
```cpp
#define SIMDJSON_STATIC_REFLECTION 1
//...
#include "simdjson.h"
```
And then you can append your data structures to a `string_builder` instance
automatically. In most cases, it should work automatically:
```cpp
struct Car {
std::string make;
std::string model;
int64_t year;
std::vector<double> tire_pressure;
};
bool car_test() {
simdjson::builder::string_builder sb;
Car c = {"Toyota", "Corolla", 2017, {30.0,30.2,30.513,30.79}};
sb << c;
std::string_view p{sb};
// p holds the JSON:
// "{\"make\":\"Toyota\",\"model\":\"Corolla\",\"year\":2017,\"tire_pressure\":[30.0,30.2,30.513,30.79]}"
return true;
}
```
### Without `string_buffer` instance
In some instances, you might want to create a string directly from your own data type.
You can create a string directly, without an explicit `string_builder` instance
with the `simdjson::to_json` template function.
(Under the hood a `string_builder` instance may still be created.)
```cpp
struct Car {
std::string make;
std::string model;
int64_t year;
std::vector<double> tire_pressure;
};
void f() {
Car c = {"Toyota", "Corolla", 2017, {30.0,30.2,30.513,30.79}};
std::string json = simdjson::to_json(c);
}
```
If you know the output size, in bytes, of your JSON string, you may
pass it as a second parameter (e.g., `simdjson::to_json(c, 31123)`).
### Without `string_buffer` instance but with explicit error handling
If prefer a version without exceptions and explicit error handling, you can use the following
pattern:
```cpp
std::string json;
if(simdjson::to(c).get(json)) {
// there was an error
} else {
// json contain the serialized JSON
}
```
+3 -166
View File
@@ -1,18 +1,13 @@
The Document-Object-Model (DOM) front-end
==========
An overview of what you need to know to use simdjson to parse JSON documents with
our DOM API, with examples. [Our documentation regarding the generation (serialization) of JSON documents is in a
separate document](https://github.com/simdjson/simdjson/blob/master/doc/builder.md).
An overview of what you need to know to use simdjson, with examples.
* [DOM vs On-Demand](#dom-vs-on-demand)
* [The Basics: Loading and Parsing JSON Documents](#the-basics-loading-and-parsing-json-documents-using-the-dom-front-end)
* [Using the Parsed JSON](#using-the-parsed-json)
* [C++17 Support](#c17-support)
* [C++20 Support](#c20-support)
* [JSON Pointer](#json-pointer)
* [JSONPath](#jsonpath)
* [Error Handling](#error-handling)
* [Error Handling Example](#error-handling-example)
* [Exceptions](#exceptions)
@@ -31,10 +26,6 @@ a conventional Document-Object-Model (DOM) front-end. In such a scenario, the JS
entirely parsed, validated and materialized in memory as the first step. The programmer may
then access the parsed data using this in-memory model.
On-Demand is a different model where you parse just what you need, directly into your own
data structure. The On-Demand approach, when well tuned, can provide superior performance.
[We refer you to the On-Demand documentation for further details](https://github.com/simdjson/simdjson/blob/master/doc/basics.md).
The Basics: Loading and Parsing JSON Documents using the DOM front-end
----------------------------------------------
@@ -68,26 +59,6 @@ std::string data = "my data";
simdjson::padded_string my_padded_data(data); // copies to a padded buffer
```
You can then parse the JSON document from the `simdjson::padded_string` instance:
```cpp
simdjson::dom::parser parser;
simdjson::dom::element doc = parser.parse(my_padded_data);
```
Whenever you pass an `std::string` reference to `parser::parse`,
the parser will access the bytes beyond the end of
the string but before the end of the allocated memory (`std::string::capacity()`).
If you are using a sanitizer that checks for reading uninitialized bytes or `std::string`'s
container-overflow checks, you may encounter sanitizer warnings.
You can safely ignore these warnings. Or you can call `simdjson::pad(std::string&)` to pad the
string with `SIMDJSON_PADDING` spaces: this function returns a `simdjson::padding_string_view` which can be be passed to the parser's iterator function:
```c++
std::string json = "[1]";
dom::element doc = parser.parse(simdjson::pad(json));
```
The parsed document resulting from the `parser.load` and `parser.parse` calls depends on the `parser` instance. Thus the `parser` instance must remain in scope. Furthermore, you must have at most one parsed document in play per `parser` instance.
You cannot copy a `parser` instance, you may only move it.
@@ -98,7 +69,7 @@ During the`load` or `parse` calls, neither the input file nor the input string a
For best performance, a `parser` instance should be reused over several files: otherwise you will needlessly reallocate memory, an expensive process. It is also possible to avoid entirely memory allocations during parsing when using simdjson. [See our performance notes for details](performance.md).
If you need a lower-level interface, you may call the function `parser.parse(const char * p, size_t l)` on a pointer `p` while specifying the
length of your input `l` in bytes.
length of your input `l` in bytes. To see how to get the very best performance from a low-level approach, you way want to read our [performance notes](https://github.com/simdjson/simdjson/blob/master/doc/performance.md#padding-and-temporary-copies) on this topic (see the Padding and Temporary Copies section).
*Windows-specific*: Windows users who need to read files with
non-ANSI characters in the name should set their code page to
@@ -127,12 +98,6 @@ Once you have an element, you can navigate it with idiomatic C++ iterators, oper
std::cout << "I parsed " << value << " from " << numberstring.data() << std::endl;
```
The strings contain unescaped valid UTF-8 strings: no unmatched surrogate is allowed.
Internally, numbers are stored as either 64-bit integers or 64-bit floating-point numbers.
Thus it is possible to get the full 64-bit integer range (either signed or unsigned).
By default, the string `-0` is parsed as the integer 0 as in Pytho or C++. If you set the macro
`SIMDJSON_MINUS_ZERO_AS_FLOAT` to `1` when building simdjson, you can get that `-0` is mapped to `-0.0`
as in JavaScript. You can get the desired effect by building simdjson with cmake setting the
`SIMDJSON_MINUS_ZERO_AS_FLOAT` to on: `cmake -B build -D SIMDJSON_MINUS_ZERO_AS_FLOAT=ON`.
* **Field Access:** To get the value of the "foo" field in an object, use `object["foo"]`.
* **Array Iteration:** To iterate through an array, use `for (auto value : array) { ... }`. If you
know the type of the value, you can cast it right there, too! `for (double value : array) { ... }`
@@ -246,23 +211,6 @@ for (dom::key_value_pair field : object) {
}
```
C++20 Support
------------
simdjson library also supports some C++20 feature including `std::ranges`:
```c++
auto cars_json = R"( [
{ "make": "Toyota", "model": "Camry", "year": 2018, "tire_pressure": [ 40.1, 39.9, 37.7, 40.4 ] },
{ "make": "Kia", "model": "Soul", "year": 2012, "tire_pressure": [ 30.1, 31.0, 28.6, 28.7 ] },
{ "make": "Toyota", "model": "Tercel", "year": 1999, "tire_pressure": [ 29.8, 30.0, 30.2, 30.5 ] }
] )"_padded;
dom::parser parser;
auto justmodel = [](auto car) { return car["model"]; };
for (auto car : parser.parse(cars_json).get_array() | std::views::transform(justmodel)) {
std::cout << car << std::endl;
}
```
JSON Pointer
------------
@@ -309,119 +257,8 @@ for (dom::element car_element : cars) {
}
```
JSONPath
------------
The simdjson library supports a subset of [JSONPath](https://datatracker.ietf.org/doc/html/draft-normington-jsonpath-00) through the `at_path()` method, allowing you to reach further into the document in a single call. The subset of JSONPath that is implemented is the subset that is trivially convertible into the JSON Pointer format, using `.` to access a field and `[]` to access a specific index.
Consider the following example:
```c++
auto cars_json = R"( [
{ "make": "Toyota", "model": "Camry", "year": 2018, "tire_pressure": [ 40.1, 39.9, 37.7, 40.4 ] },
{ "make": "Kia", "model": "Soul", "year": 2012, "tire_pressure": [ 30.1, 31.0, 28.6, 28.7 ] },
{ "make": "Toyota", "model": "Tercel", "year": 1999, "tire_pressure": [ 29.8, 30.0, 30.2, 30.5 ] }
] )"_padded;
dom::parser parser;
dom::element doc;
auto error = parser.parse(cars_json).get(doc);
if(error) { /*won't happen*/ }
double p;
error = doc.at_path("[0].tire_pressure[1]").get(p);
if(error) { /*won't happen*/ }
cout << p << endl; // Prints 39.9
```
We also support the `$` prefix. When you start a JSONPath expression with $, you are indicating that the path starts from the root of the JSON document. E.g.,
```c++
auto json = R"( { "c" :{ "foo": { "a": [ 10, 20, 30 ] }}, "d": { "foo2": { "a": [ 10, 20, 30 ] }} , "e": 120 })"_padded;
dom::parser parser;
dom::element doc;
auto error = parser.parse(json).get(doc);
if(error) { /*won't happen*/ }
dom::object obj;
error = doc.get_object().get(obj);
if(error) { /*won't happen*/ }
int64_t x;
error = obj.at_path("$[3].foo.a[1]").get(x);
if(error) { /*won't happen*/ }
if(x != 20) { /*won't happen*/ }
x = obj.at_path("$.d.foo2.a.2");
if(error) { /*won't happen*/ }
```
## Using `at_path_with_wildcard` for JSONPath Queries
The `at_path_with_wildcard` function in simdjson extends the JSONPath querying capabilities by supporting wildcard expressions (`*`) in JSON paths. This allows users to retrieve multiple elements from a JSON document in a single query. For example, you can use `$.address.*` to fetch all fields within the `address` object or `$.phoneNumbers[*].numbers[*]` to retrieve all phone numbers across multiple objects in an array.
The `*` wildcard matches all elements at a specific level. For instance, `$.address.*` retrieves all key-value pairs in the `address` object, while `$.*.streetAddress` fetches all `streetAddress` fields across objects at the root level. You can combine wildcards with array indexing. For example, `$.phoneNumbers[*].numbers[1]` retrieves the second number from each `numbers` array in the `phoneNumbers` array. If no elements match the wildcard query, the function returns an empty result. For instance, querying `$.empty_object.*` or `$.empty_array.*` will yield an empty set.
### Example Usage
Here is an example demonstrating the use of `at_path_with_wildcard`:
```cpp
simdjson::padded_string json_string = R"(
{
"firstName": "John",
"lastName": "doe",
"age": 26,
"address": {
"streetAddress": "naist street",
"city": "Nara",
"postalCode": "630-0192"
},
"phoneNumbers": [
{
"type": "iPhone",
"numbers": ["0123-4567-8888", "0123-4567-8788"]
},
{
"type": "home",
"numbers": ["0123-4567-8910"]
}
]
})"_padded;
dom::parser parser;
dom::element parsed_json = parser.parse(json_string);
std::vector<dom::element> values;
// Fetch all fields in the address object
auto error = parsed_json.at_path_with_wildcard("$.address.*").get(values);
if(error) {
// do something
}
for (auto &value : values) {
std::string_view field;
error = value.get(field);
if(error) {
// do something
}
std::cout << field << std::endl;
}
// Fetch all phone numbers
error = parsed_json.at_path_with_wildcard("$.phoneNumbers[*].numbers[*]").get(values);
if(error) {
// do something
}
for (auto &value : values) {
std::string_view number;
error = value.get(number);
if(error) {
// do something
}
std::cout << number << std::endl;
}
```
This function is particularly useful for extracting data from complex JSON structures with nested arrays and objects. By leveraging wildcards, you can simplify your queries and reduce the need for multiple iterations.
Error Handling
--------------
@@ -832,5 +669,5 @@ Setting the `realloc_if_needed` parameter `false` in this manner may lead to bet
Performance Tips
---------------------
- For release builds, we recommend setting `NDEBUG` pre-processor directive when compiling the `simdjson` library. Importantly, using the optimization flags `-O2` or `-O3` under GCC and LLVM clang does not set the `NDEBUG` directive, you must set it manually (e.g., `-DNDEBUG`).
- For release builds, we recommend setting `NDEBUG` pre-processor directive when compiling the `simdjson` library. Importantly, using the optimization flags `-O2` or `-O3` under GCC and LLVM clang does not set the `NDEBUG` directrive, you must set it manually (e.g., `-DNDEBUG`).
- For long streams of JSON documents, consider [`iterate_many`](iterate_many.md) and [`parse_many`](parse_many.md) for better performance.
+2 -116
View File
@@ -25,7 +25,6 @@ Contents
- [Use cases](#use-cases)
- [Tracking your position](#tracking-your-position)
- [Incomplete streams](#incomplete-streams)
- [C++20 features](#c20-features)
Motivation
-----------
@@ -103,12 +102,7 @@ remove almost entirely its cost and replaces it by the overhead of a thread, whi
cheaper. Ain't that awesome!
Thread support is only active if thread supported is detected in which case the macro
SIMDJSON_THREADS_ENABLED is set. You can also manually pass `SIMDJSON_THREADS_ENABLED=1` flag
to the library. Otherwise the library runs in single-thread mode.
You should be consistent. If you link against the simdjson library built for multithreading
(i.e., with `SIMDJSON_THREADS_ENABLED`), then you should build your application with multithreading
system (setting `SIMDJSON_THREADS_ENABLED=1` and linking against a thread library).
SIMDJSON_THREADS_ENABLED is set. Otherwise the library runs in single-thread mode.
A `document_stream` instance uses at most two threads: there is a main thread and a worker thread.
@@ -130,7 +124,7 @@ If your documents are all objects or arrays, then you may even have nothing betw
E.g., `[1,2]{"32":1}` is recognized as two documents.
Some official formats **(non-exhaustive list)**:
- [Newline-Delimited JSON (NDJSON)](https://github.com/ndjson/ndjson-spec/)
- [Newline-Delimited JSON (NDJSON)](http://ndjson.org/)
- [JSON lines (JSONL)](http://jsonlines.org/)
- [Record separator-delimited JSON (RFC 7464)](https://tools.ietf.org/html/rfc7464) <- Not supported by JsonStream!
- [More on Wikipedia...](https://en.wikipedia.org/wiki/JSON_streaming)
@@ -294,111 +288,3 @@ string
object
array
```
C++20 features
--------------------
In C++20, the standard introduced the notion of *customization point*.
A customization point is a function or function object that can be customized for different types. It allows library authors to provide default behavior while giving users the ability to override this behavior for specific types.
A tag_invoke function serves as a mechanism for customization points. It is not directly part of the C++ standard library but is often used in libraries that implement customization points.
The tag_invoke function is typically a generic function that takes a tag type and additional arguments.
The first argument is usually a tag type (often an empty struct) that uniquely identifies the customization point (e.g., deserialization of custom types in simdjson). Users or library providers can specialize tag_invoke for their types by defining it in the appropriate namespace, often inline namespace.
You can deserialize you own data structures conveniently if your system supports C++20.
When it is the case, the macro `SIMDJSON_SUPPORTS_CONCEPTS` will be set to 1 by
the simdjson library.
Consider a custom class `Car`:
```C++
struct Car {
std::string make;
std::string model;
int year;
std::vector<float> tire_pressure;
};
```
You may support deserializing directly from a JSON value or document to your own `Car` instance
by defining a single `tag_invoke` function:
```C++
namespace simdjson {
// This tag_invoke MUST be inside simdjson namespace
template <typename simdjson_value>
auto tag_invoke(deserialize_tag, simdjson_value &val, Car& car) {
ondemand::object obj;
auto error = val.get_object().get(obj);
if (error) {
return error;
}
if ((error = obj["make"].get_string(car.make))) {
return error;
}
if ((error = obj["model"].get_string(car.model))) {
return error;
}
if ((error = obj["year"].get(car.year))) {
return error;
}
if ((error = obj["tire_pressure"].get<std::vector<float>>().get(
car.tire_pressure))) {
return error;
}
return simdjson::SUCCESS;
}
} // namespace simdjson
```
Importantly, the `tag_invoke` function must be inside the `simdjson` namespace.
Let us explain each argument of `tag_invoke` function.
- `simdjson::deserialize_tag`: it is the tag for Customization Point Object (CPO). You may often ignore this parameter. It is used to indicate that you mean to provide a deserialization function for simdjson.
- `var`: It receives automatically a `simdjson` value type (document, value, document_reference).
- The third parameter is an instance of the type that you want to support.
Please see our main documentation (`basics.md`) under
"Use `tag_invoke` for custom types (C++20)" for details about
tag_invoke functions.
Given a stream of JSON documents, you can add them to a data structure
such as a `std::vector<Car>` like so if you support exceptions:
```C++
padded_string json =
R"( { "make": "Toyota", "model": "Camry", "year": 2018,
"tire_pressure": [ 40.1, 39.9 ] }
{ "make": "Kia", "model": "Soul", "year": 2012,
"tire_pressure": [ 30.1, 31.0 ] }
{ "make": "Toyota", "model": "Tercel", "year": 1999,
"tire_pressure": [ 29.8, 30.0 ] }
)"_padded;
ondemand::parser parser;
ondemand::document_stream stream;
[[maybe_unused]] auto error = parser.iterate_many(json).get(stream);
std::vector<Car> cars;
for(auto doc : stream) {
cars.push_back((Car)doc); // an exception may be thrown
}
```
Otherwise you may use this longer version for explicit handling of errors:
```C++
std::vector<Car> cars;
for(auto doc : stream) {
Car c;
if ((error = doc.get<Car>().get(c))) {
std::cerr << simdjson::error_message(error); << std::endl;
return EXIT_FAILURE;
}
cars.push_back(c);
}
```
+1 -1
View File
@@ -102,7 +102,7 @@ or indexing (`object["key"]`). In some cases, the values are even deserialized d
maps.
The DOM approach is conceptually simple and "programmer friendly". Using the
DOM tree is often easy enough that many users process the DOM as-is instead of creating
DOM tree is often easy enough that many users use the DOM as-is instead of creating
their own custom data structures.
The DOM approach was the only way to parse JSON documents up to version 0.6 of the simdjson library.
+1 -6
View File
@@ -103,12 +103,7 @@ cases, remove almost entirely its cost and replaces it by the overhead of a thre
of magnitude cheaper. Ain't that awesome!
Thread support is only active if thread supported is detected in which case the macro
SIMDJSON_THREADS_ENABLED is set. You can also manually pass `SIMDJSON_THREADS_ENABLED=1` flag
to the library. Otherwise the library runs in single-thread mode.
You should be consistent. If you link against the simdjson library built for multithreading
(i.e., with `SIMDJSON_THREADS_ENABLED`), then you should build your application with multithreading
system (setting `SIMDJSON_THREADS_ENABLED=1` and linking against a thread library).
SIMDJSON_THREADS_ENABLED is set. Otherwise the library runs in single-thread mode.
A `document_stream` instance uses at most two threads: there is a main thread and a worker thread.
You should expect the main thread to be fully occupied while the worker thread is partially busy
+13 -24
View File
@@ -4,9 +4,9 @@ Performance Notes
simdjson strives to be at its fastest *without tuning*, and generally achieves this. However, there
are still some scenarios where tuning can enhance performance.
Once your code is tested, we
further encourage you to define `NDEBUG` in your release builds to disable additional runtime
further encourage you to define `NDEBUG` in your Release builds to disable additional runtime
testing and get the best performance.
* [NDEBUG macro](#ndebug-macro)
* [NDEBUG directive](#ndebug-directive)
* [Reusing the parser for maximum efficiency](#reusing-the-parser-for-maximum-efficiency)
* [Reusing string buffers](#reusing-string-buffers)
* [Server Loops: Long-Running Processes and Memory Capacity](#server-loops-long-running-processes-and-memory-capacity)
@@ -17,27 +17,16 @@ testing and get the best performance.
* [Free Padding](#free-padding)
NDEBUG macro
NDEBUG directive
-------------
We recommend that you set `NDEBUG` macro in your release builds.
In C/C++, the `NDEBUG` pre-processor directive is not set by default. When it is not set, the simdjson library does
many additional checks that may impact negatively the performance. We recommend that, once your code
is well tested, you define `NDEBUG` directive in your Release builds. The `NDEBUG` directive should be defined
prior to including the `simdjson.h` header.
In C/C++, the `NDEBUG` macro is not set by default.
When it is not set, the software may do many additional checks that may impact
negatively the performance. We recommend that, once your code
is well tested, you define `NDEBUG` directive in your release builds.
The `NDEBUG` directive is generally independent from optimization flags.
For example, setting `-O3` under GCC does not set the `NDEBUG` directive.
However, tools like `CMake` automatically
set `NDEBUG` for release builds.
In the simdjson library, we check the `NDEBUG` macro as well as other
macros to make performant release builds. However, the C++ standard
does not provide a definitive approach to determine whether you are
compiling for a release build. Thus we recommend that you follow
the practice of setting the `NDEBUG` macro in release mode to make sure
that you do not get undesirable expensive checks.
The `NDEBUG` directive is generally independent from optimization flags. For example, setting `-O3` under
GCC does not set the `NDEBUG` directive.
Reusing the parser for maximum efficiency
-----------------------------------------
@@ -169,9 +158,9 @@ On Intel and AMD Windows platforms, Microsoft Visual Studio enables programmers
When compiling with Visual Studio, we recommend the flags `/Ob2 /O2` or better. We do not recommend that you compile simdjson with architecture-specific flags such as `arch:AVX2`. The simdjson library automatically selects the best execution kernel at runtime.
Recent versions of Microsoft Visual Studio on Windows provides support for the LLVM Clang compiler. You only need to install the "Clang compiler" optional component (clang-cl). You may also get a copy of the 64-bit LLVM CLang compiler for [Windows directly from LLVM](https://releases.llvm.org/download.html). The simdjson library fully supports the LLVM Clang compiler under Windows. In fact, you may get better performance out of simdjson with the LLVM Clang compiler than with the regular Visual Studio compiler. Meanwhile the [LLVM CLang compiler is binary compatible with Visual Studio](https://clang.llvm.org/docs/MSVCCompatibility.html) which means that you can combine their binaries (executables and libraries).
Recent versions of Microsoft Visual Studio on Windows provides support for the LLVM Clang compiler. You only need to install the "Clang compiler" optional component (ClangCL). You may also get a copy of the 64-bit LLVM CLang compiler for [Windows directly from LLVM](https://releases.llvm.org/download.html). The simdjson library fully supports the LLVM Clang compiler under Windows. In fact, you may get better performance out of simdjson with the LLVM Clang compiler than with the regular Visual Studio compiler. Meanwhile the [LLVM CLang compiler is binary compatible with Visual Studio](https://clang.llvm.org/docs/MSVCCompatibility.html) which means that you can combine their binaries (executables and libraries).
We recommend Visual Studio users prefer LLVM (clang-cl). It compiles to faster release binaries. Furthermore, it compilers faster in release mode.
Under Windows, we also support the GNU GCC compiler via MSYS2. The performance of 64-bit MSYS2 under Windows is excellent (on par with Linux).
Power Usage and Downclocking
@@ -252,8 +241,8 @@ long page_size() {
// Returns true if the buffer + len + simdjson::SIMDJSON_PADDING crosses the
// page boundary.
bool need_allocation(const char *buf, size_t len) {
return ((reinterpret_cast<uintptr_t>(buf + len - 1) % page_size())
+ simdjson::SIMDJSON_PADDING > static_cast<uintptr_t>(page_size()));
return ((reinterpret_cast<uintptr_t>(buf + len - 1) % page_size()) <
simdjson::SIMDJSON_PADDING);
}
simdjson::padded_string_view
+3 -9
View File
@@ -20,14 +20,10 @@ IF(${CMAKE_SYSTEM_NAME} MATCHES "Linux")
endif()
add_quickstart_test(quickstart_noexceptions quickstart_noexceptions.cpp NO_EXCEPTIONS LABELS acceptance)
if(NOT SIMDJSON_STATIC_REFLECTION)
add_quickstart_test(quickstart_noexceptions11 quickstart_noexceptions.cpp NO_EXCEPTIONS CXX_STANDARD c++11)
endif(NOT SIMDJSON_STATIC_REFLECTION)
add_quickstart_test(quickstart_noexceptions11 quickstart_noexceptions.cpp NO_EXCEPTIONS CXX_STANDARD c++11)
add_quickstart_test(quickstart2_noexceptions quickstart2_noexceptions.cpp NO_EXCEPTIONS LABELS acceptance)
if(NOT SIMDJSON_STATIC_REFLECTION)
add_quickstart_test(quickstart2_noexceptions11 quickstart2_noexceptions.cpp NO_EXCEPTIONS CXX_STANDARD c++11)
endif(NOT SIMDJSON_STATIC_REFLECTION)
add_quickstart_test(quickstart2_noexceptions11 quickstart2_noexceptions.cpp NO_EXCEPTIONS CXX_STANDARD c++11)
# On-Demand Quick Start
if (SIMDJSON_EXCEPTIONS)
@@ -37,8 +33,6 @@ IF(${CMAKE_SYSTEM_NAME} MATCHES "Linux")
endif()
add_quickstart_test(quickstart_ondemand_noexceptions quickstart_ondemand_noexceptions.cpp NO_EXCEPTIONS LABELS quickstart_ondemand acceptance)
if(NOT SIMDJSON_STATIC_REFLECTION)
add_quickstart_test(quickstart_ondemand_noexceptions11 quickstart_ondemand_noexceptions.cpp NO_EXCEPTIONS CXX_STANDARD c++11 LABELS quickstart_ondemand)
endif(NOT SIMDJSON_STATIC_REFLECTION)
add_quickstart_test(quickstart_ondemand_noexceptions11 quickstart_ondemand_noexceptions.cpp NO_EXCEPTIONS CXX_STANDARD c++11 LABELS quickstart_ondemand)
endif()
+1 -1
View File
@@ -72,7 +72,7 @@ extern "C" int LLVMFuzzerTestOneInput(const uint8_t *Data, size_t Size) {
// make this dynamic, so it works regardless of how it was compiled
// or what hardware it runs on
constexpr std::size_t Nimplementations_max=4;
constexpr std::size_t Nimplementations_max=3;
const std::size_t Nimplementations = supported_implementations.size();
if(Nimplementations>Nimplementations_max) {
+1 -2
View File
@@ -53,6 +53,5 @@
#include "simdjson/dom.h"
#include "simdjson/ondemand.h"
#include "simdjson/convert.h"
#include "simdjson/convert-inl.h"
#endif // SIMDJSON_H
+3 -9
View File
@@ -19,7 +19,7 @@ SIMDJSON_NO_SANITIZE_UNDEFINED
// See issue https://github.com/simdjson/simdjson/issues/1965
SIMDJSON_NO_SANITIZE_MEMORY
simdjson_inline int trailing_zeroes(uint64_t input_num) {
#if SIMDJSON_REGULAR_VISUAL_STUDIO
#ifdef SIMDJSON_REGULAR_VISUAL_STUDIO
unsigned long ret;
// Search the mask data from least significant bit (LSB)
// to the most significant bit (MSB) for a set bit (1).
@@ -35,15 +35,9 @@ simdjson_inline uint64_t clear_lowest_bit(uint64_t input_num) {
return input_num & (input_num-1);
}
// We sometimes call leading_zeroes on inputs that are zero,
// but the algorithms do not end up using the returned value.
// Sadly, sanitizers are not smart enough to figure it out.
// Applies only when SIMDJSON_PREFER_REVERSE_BITS is defined and true.
// (See below.)
SIMDJSON_NO_SANITIZE_UNDEFINED
/* result might be undefined when input_num is zero */
simdjson_inline int leading_zeroes(uint64_t input_num) {
#if SIMDJSON_REGULAR_VISUAL_STUDIO
#ifdef SIMDJSON_REGULAR_VISUAL_STUDIO
unsigned long leading_zero = 0;
// Search the mask data from most significant bit (MSB)
// to least significant bit (LSB) for a set bit (1).
@@ -96,7 +90,7 @@ simdjson_inline uint64_t zero_leading_bit(uint64_t rev_bits, int leading_zeroes)
#endif
simdjson_inline bool add_overflow(uint64_t value1, uint64_t value2, uint64_t *result) {
#if SIMDJSON_REGULAR_VISUAL_STUDIO
#ifdef SIMDJSON_REGULAR_VISUAL_STUDIO
*result = value1 + value2;
return *result < value1;
#else
@@ -51,12 +51,6 @@ simdjson_inline internal::value128 full_multiplication(uint64_t value1, uint64_t
} // namespace arm64
} // namespace simdjson
#ifndef SIMDJSON_SWAR_NUMBER_PARSING
#if SIMDJSON_IS_BIG_ENDIAN
#define SIMDJSON_SWAR_NUMBER_PARSING 0
#else
#define SIMDJSON_SWAR_NUMBER_PARSING 1
#endif
#endif
#endif // SIMDJSON_ARM64_NUMBERPARSING_DEFS_H
+9 -20
View File
@@ -12,7 +12,7 @@ namespace arm64 {
namespace {
namespace simd {
#if SIMDJSON_REGULAR_VISUAL_STUDIO
#ifdef SIMDJSON_REGULAR_VISUAL_STUDIO
namespace {
// Start of private section with Visual Studio workaround
@@ -121,7 +121,7 @@ namespace {
// We return uint32_t instead of uint16_t because that seems to be more efficient for most
// purposes (cutting it down to uint16_t costs performance in some compilers).
simdjson_inline uint32_t to_bitmask() const {
#if SIMDJSON_REGULAR_VISUAL_STUDIO
#ifdef SIMDJSON_REGULAR_VISUAL_STUDIO
const uint8x16_t bit_mask = simdjson_make_uint8x16_t(0x01, 0x02, 0x4, 0x8, 0x10, 0x20, 0x40, 0x80,
0x01, 0x02, 0x4, 0x8, 0x10, 0x20, 0x40, 0x80);
#else
@@ -134,12 +134,6 @@ namespace {
tmp = vpaddq_u8(tmp, tmp);
return vgetq_lane_u16(vreinterpretq_u16_u8(tmp), 0);
}
// Returns 4-bit out of each byte, alternating between the high 4 bits and low
// bits result it is 64 bit.
simdjson_inline uint64_t to_bitmask64() const {
return vget_lane_u64(
vreinterpret_u64_u8(vshrn_n_u16(vreinterpretq_u16_u8(*this), 4)), 0);
}
simdjson_inline bool any() const { return vmaxvq_u32(vreinterpretq_u32_u8(*this)) != 0; }
};
@@ -158,7 +152,7 @@ namespace {
// Splat constructor
simdjson_inline simd8(uint8_t _value) : simd8(splat(_value)) {}
// Member-by-member initialization
#if SIMDJSON_REGULAR_VISUAL_STUDIO
#ifdef SIMDJSON_REGULAR_VISUAL_STUDIO
simdjson_inline simd8(
uint8_t v0, uint8_t v1, uint8_t v2, uint8_t v3, uint8_t v4, uint8_t v5, uint8_t v6, uint8_t v7,
uint8_t v8, uint8_t v9, uint8_t v10, uint8_t v11, uint8_t v12, uint8_t v13, uint8_t v14, uint8_t v15
@@ -216,7 +210,7 @@ namespace {
// Bit-specific operations
simdjson_inline simd8<bool> any_bits_set(simd8<uint8_t> bits) const { return vtstq_u8(*this, bits); }
simdjson_inline bool any_bits_set_anywhere() const { return vmaxvq_u32(vreinterpretq_u32_u8(*this)) != 0; }
simdjson_inline bool any_bits_set_anywhere() const { return this->max_val() != 0; }
simdjson_inline bool any_bits_set_anywhere(simd8<uint8_t> bits) const { return (*this & bits).any_bits_set_anywhere(); }
template<int N>
simdjson_inline simd8<uint8_t> shr() const { return vshrq_n_u8(*this, N); }
@@ -229,12 +223,7 @@ namespace {
return lookup_table.apply_lookup_16_to(*this);
}
// Returns 4-bit out of each byte, alternating between the high 4 bits and low
// bits result it is 64 bit.
simdjson_inline uint64_t to_bitmask64() const {
return vget_lane_u64(
vreinterpret_u64_u8(vshrn_n_u16(vreinterpretq_u16_u8(*this), 4)), 0);
}
// Copies to 'output" all bytes corresponding to a 0 in the mask (interpreted as a bitset).
// Passing a 0 value for mask would be equivalent to writing out every byte to output.
// Only the first 16 - count_ones(mask) bytes of the result are significant but 16 bytes
@@ -257,7 +246,7 @@ namespace {
uint64x2_t shufmask64 = {thintable_epi8[mask1], thintable_epi8[mask2]};
uint8x16_t shufmask = vreinterpretq_u8_u64(shufmask64);
// we increment by 0x08 the second half of the mask
#if SIMDJSON_REGULAR_VISUAL_STUDIO
#ifdef SIMDJSON_REGULAR_VISUAL_STUDIO
uint8x16_t inc = simdjson_make_uint8x16_t(0, 0, 0, 0, 0, 0, 0, 0, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08);
#else
uint8x16_t inc = {0, 0, 0, 0, 0, 0, 0, 0, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08};
@@ -287,7 +276,7 @@ namespace {
uint8x8_t compactmask1 = vcreate_u8(thintable_epi8[mask1]);
uint8x8_t compactmask2 = vcreate_u8(thintable_epi8[mask2]);
// we increment by 0x08 the second half of the mask
#if SIMDJSON_REGULAR_VISUAL_STUDIO
#ifdef SIMDJSON_REGULAR_VISUAL_STUDIO
uint8x8_t inc = simdjson_make_uint8x8_t(0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08);
#else
uint8x8_t inc = {0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08};
@@ -339,7 +328,7 @@ namespace {
// Array constructor
simdjson_inline simd8(const int8_t* values) : simd8(load(values)) {}
// Member-by-member initialization
#if SIMDJSON_REGULAR_VISUAL_STUDIO
#ifdef SIMDJSON_REGULAR_VISUAL_STUDIO
simdjson_inline simd8(
int8_t v0, int8_t v1, int8_t v2, int8_t v3, int8_t v4, int8_t v5, int8_t v6, int8_t v7,
int8_t v8, int8_t v9, int8_t v10, int8_t v11, int8_t v12, int8_t v13, int8_t v14, int8_t v15
@@ -460,7 +449,7 @@ namespace {
}
simdjson_inline uint64_t to_bitmask() const {
#if SIMDJSON_REGULAR_VISUAL_STUDIO
#ifdef SIMDJSON_REGULAR_VISUAL_STUDIO
const uint8x16_t bit_mask = simdjson_make_uint8x16_t(
0x01, 0x02, 0x4, 0x8, 0x10, 0x20, 0x40, 0x80,
0x01, 0x02, 0x4, 0x8, 0x10, 0x20, 0x40, 0x80
@@ -46,32 +46,6 @@ simdjson_inline backslash_and_quote backslash_and_quote::copy_and_find(const uin
};
}
struct escaping {
static constexpr uint32_t BYTES_PROCESSED = 16;
simdjson_inline static escaping copy_and_find(const uint8_t *src, uint8_t *dst);
simdjson_inline bool has_escape() { return escape_bits != 0; }
simdjson_inline int escape_index() { return trailing_zeroes(escape_bits) / 4; }
uint64_t escape_bits;
}; // struct escaping
simdjson_inline escaping escaping::copy_and_find(const uint8_t *src, uint8_t *dst) {
static_assert(SIMDJSON_PADDING >= (BYTES_PROCESSED - 1), "escaping finder must process fewer than SIMDJSON_PADDING bytes");
simd8<uint8_t> v(src);
v.store(dst);
simd8<bool> is_quote = (v == '"');
simd8<bool> is_backslash = (v == '\\');
simd8<bool> is_control = (v < 32);
return {
(is_backslash | is_quote | is_control).to_bitmask64()
};
}
} // unnamed namespace
} // namespace arm64
} // namespace simdjson
-1
View File
@@ -9,7 +9,6 @@
#include "simdjson/compiler_check.h"
#include "simdjson/error.h"
#include "simdjson/portability.h"
#include "simdjson/concepts.h"
/**
* @brief The top level simdjson namespace, containing everything the library provides.
+14 -27
View File
@@ -23,7 +23,7 @@ double from_chars(const char *first, const char* end) noexcept;
}
#ifndef SIMDJSON_EXCEPTIONS
#if defined(__cpp_exceptions) || defined(_CPPUNWIND)
#if __cpp_exceptions
#define SIMDJSON_EXCEPTIONS 1
#else
#define SIMDJSON_EXCEPTIONS 0
@@ -199,6 +199,17 @@ double from_chars(const char *first, const char* end) noexcept;
// We assume by default static linkage
#define SIMDJSON_DLLIMPORTEXPORT
#endif
/**
* Workaround for the vcpkg package manager. Only vcpkg should
* ever touch the next line. The SIMDJSON_USING_LIBRARY macro is otherwise unused.
*/
#if SIMDJSON_USING_LIBRARY
#define SIMDJSON_DLLIMPORTEXPORT __declspec(dllimport)
#endif
/**
* End of workaround for the vcpkg package manager.
*/
#else
#define SIMDJSON_DLLIMPORTEXPORT
#endif
@@ -215,14 +226,12 @@ double from_chars(const char *first, const char* end) noexcept;
// even if we do not have C++17 support.
#ifdef __cpp_lib_string_view
#define SIMDJSON_HAS_STRING_VIEW
#include <string_view>
#endif
// Some systems have string_view even if we do not have C++17 support,
// and even if __cpp_lib_string_view is undefined, it is the case
// with Apple clang version 11.
// We must handle it. *This is important.*
#ifndef _MSC_VER
#ifndef SIMDJSON_HAS_STRING_VIEW
#if defined __has_include
// do not combine the next #if with the previous one (unsafe)
@@ -238,7 +247,6 @@ double from_chars(const char *first, const char* end) noexcept;
#endif // __has_include (<string_view>)
#endif // defined __has_include
#endif // def SIMDJSON_HAS_STRING_VIEW
#endif // def _MSC_VER
// end of complicated but important routine to try to detect string_view.
//
@@ -271,25 +279,16 @@ namespace std {
// It could also wrongly set SIMDJSON_DEVELOPMENT_CHECKS (e.g., if the programmer
// sets _DEBUG in a release build under Visual Studio, or if some compiler fails to
// set the __OPTIMIZE__ macro).
// We make it so that if NDEBUG is defined, then SIMDJSON_DEVELOPMENT_CHECKS
// is not defined, irrespective of the compiler.
// We recommend that users set NDEBUG in release builds, so that
// SIMDJSON_DEVELOPMENT_CHECKS is not defined in release builds by default,
// irrespective of the compiler.
#ifndef SIMDJSON_DEVELOPMENT_CHECKS
#ifdef _MSC_VER
// Visual Studio seems to set _DEBUG for debug builds.
// We set SIMDJSON_DEVELOPMENT_CHECKS to 1 if _DEBUG is defined
// and NDEBUG is not defined.
#if defined(_DEBUG) && !defined(NDEBUG)
#ifdef _DEBUG
#define SIMDJSON_DEVELOPMENT_CHECKS 1
#endif // _DEBUG
#else // _MSC_VER
// All other compilers appear to set __OPTIMIZE__ to a positive integer
// when the compiler is optimizing.
// We only set SIMDJSON_DEVELOPMENT_CHECKS if both __OPTIMIZE__
// and NDEBUG are not defined.
#if !defined(__OPTIMIZE__) && !defined(NDEBUG)
#ifndef __OPTIMIZE__
#define SIMDJSON_DEVELOPMENT_CHECKS 1
#endif // __OPTIMIZE__
#endif // _MSC_VER
@@ -345,16 +344,4 @@ namespace std {
#define SIMDJSON_AVX512_ALLOWED 1
#endif
#ifndef __has_cpp_attribute
#define simdjson_lifetime_bound
#elif __has_cpp_attribute(msvc::lifetimebound)
#define simdjson_lifetime_bound [[msvc::lifetimebound]]
#elif __has_cpp_attribute(clang::lifetimebound)
#define simdjson_lifetime_bound [[clang::lifetimebound]]
#elif __has_cpp_attribute(lifetimebound)
#define simdjson_lifetime_bound [[lifetimebound]]
#else
#define simdjson_lifetime_bound
#endif
#endif // SIMDJSON_COMMON_DEFS_H
-65
View File
@@ -50,69 +50,4 @@
#endif
#endif
#ifndef SIMDJSON_CONSTEXPR_LAMBDA
#if SIMDJSON_CPLUSPLUS17
#define SIMDJSON_CONSTEXPR_LAMBDA constexpr
#else
#define SIMDJSON_CONSTEXPR_LAMBDA
#endif
#endif
#ifdef __has_include
#if __has_include(<version>)
#include <version>
#endif
#endif
// The current specification is unclear on how we detect
// static reflection, both __cpp_lib_reflection and
// __cpp_impl_reflection are proposed in the draft specification.
// For now, we disable static reflect by default. It must be
// specified at compiler time.
#ifndef SIMDJSON_STATIC_REFLECTION
#define SIMDJSON_STATIC_REFLECTION 0 // disabled by default.
#endif
#if defined(__apple_build_version__)
#if __apple_build_version__ < 14000000
#define SIMDJSON_CONCEPT_DISABLED 1 // apple-clang/13 doesn't support std::convertible_to
#endif
#endif
#if defined(__cpp_lib_ranges) && __cpp_lib_ranges >= 201911L
#include <ranges>
#define SIMDJSON_SUPPORTS_RANGES 1
#else
#define SIMDJSON_SUPPORTS_RANGES 0
#endif
#if defined(__cpp_concepts) && !defined(SIMDJSON_CONCEPT_DISABLED)
#if __cpp_concepts >= 201907L
#include <utility>
#define SIMDJSON_SUPPORTS_CONCEPTS 1
#else
#define SIMDJSON_SUPPORTS_CONCEPTS 0
#endif
#else // defined(__cpp_concepts) && !defined(SIMDJSON_CONCEPT_DISABLED)
#define SIMDJSON_SUPPORTS_CONCEPTS 0
#endif // defined(__cpp_concepts) && !defined(SIMDJSON_CONCEPT_DISABLED)
// copy SIMDJSON_SUPPORTS_CONCEPTS to SIMDJSON_SUPPORTS_DESERIALIZATION.
#if SIMDJSON_SUPPORTS_CONCEPTS
#define SIMDJSON_SUPPORTS_DESERIALIZATION 1
#else
#define SIMDJSON_SUPPORTS_DESERIALIZATION 0
#endif
#if !defined(SIMDJSON_CONSTEVAL)
#if defined(__cpp_consteval) && __cpp_consteval >= 201811L && defined(__cpp_lib_constexpr_string) && __cpp_lib_constexpr_string >= 201907L
#define SIMDJSON_CONSTEVAL 1
#else
#define SIMDJSON_CONSTEVAL 0
#endif // defined(__cpp_consteval) && __cpp_consteval >= 201811L && defined(__cpp_lib_constexpr_string) && __cpp_lib_constexpr_string >= 201907L
#endif // !defined(SIMDJSON_CONSTEVAL)
#endif // SIMDJSON_COMPILER_CHECK_H
-132
View File
@@ -1,132 +0,0 @@
#ifndef SIMDJSON_CONCEPTS_H
#define SIMDJSON_CONCEPTS_H
#if SIMDJSON_SUPPORTS_CONCEPTS
#include <concepts>
#include <type_traits>
namespace simdjson {
namespace concepts {
namespace details {
#define SIMDJSON_IMPL_CONCEPT(name, method) \
template <typename T> \
concept supports_##name = !std::is_const_v<T> && requires { \
typename std::remove_cvref_t<T>::value_type; \
requires requires(typename std::remove_cvref_t<T>::value_type &&val, \
T obj) { \
obj.method(std::move(val)); \
requires !requires { obj = std::move(val); }; \
}; \
};
SIMDJSON_IMPL_CONCEPT(emplace_back, emplace_back)
SIMDJSON_IMPL_CONCEPT(emplace, emplace)
SIMDJSON_IMPL_CONCEPT(push_back, push_back)
SIMDJSON_IMPL_CONCEPT(add, add)
SIMDJSON_IMPL_CONCEPT(push, push)
SIMDJSON_IMPL_CONCEPT(append, append)
SIMDJSON_IMPL_CONCEPT(insert, insert)
SIMDJSON_IMPL_CONCEPT(op_append, operator+=)
#undef SIMDJSON_IMPL_CONCEPT
} // namespace details
template <typename T>
concept is_pair = requires { typename T::first_type; typename T::second_type; } &&
std::same_as<T, std::pair<typename T::first_type, typename T::second_type>>;
template <typename T>
concept string_view_like = std::is_convertible_v<T, std::string_view> &&
!std::is_convertible_v<T, const char*>;
template<typename T>
concept constructible_from_string_view = std::is_constructible_v<T, std::string_view>
&& !std::is_same_v<T, std::string_view>
&& std::is_default_constructible_v<T>;
template<typename M>
concept string_view_keyed_map = string_view_like<typename M::key_type>
&& requires(std::remove_cvref_t<M>& m, typename M::key_type sv, typename M::mapped_type v) {
{ m.emplace(sv, v) } -> std::same_as<std::pair<typename M::iterator, bool>>;
};
/// Check if T is a container that we can append to, including:
/// std::vector, std::deque, std::list, std::string, ...
template <typename T>
concept appendable_containers =
(details::supports_emplace_back<T> || details::supports_emplace<T> ||
details::supports_push_back<T> || details::supports_push<T> ||
details::supports_add<T> || details::supports_append<T> ||
details::supports_insert<T>) && !string_view_keyed_map<T>;
/// Insert into the container however possible
template <appendable_containers T, typename... Args>
constexpr decltype(auto) emplace_one(T &vec, Args &&...args) {
if constexpr (details::supports_emplace_back<T>) {
return vec.emplace_back(std::forward<Args>(args)...);
} else if constexpr (details::supports_emplace<T>) {
return vec.emplace(std::forward<Args>(args)...);
} else if constexpr (details::supports_push_back<T>) {
return vec.push_back(std::forward<Args>(args)...);
} else if constexpr (details::supports_push<T>) {
return vec.push(std::forward<Args>(args)...);
} else if constexpr (details::supports_add<T>) {
return vec.add(std::forward<Args>(args)...);
} else if constexpr (details::supports_append<T>) {
return vec.append(std::forward<Args>(args)...);
} else if constexpr (details::supports_insert<T>) {
return vec.insert(std::forward<Args>(args)...);
} else if constexpr (details::supports_op_append<T> && sizeof...(Args) == 1) {
return vec.operator+=(std::forward<Args>(args)...);
} else {
static_assert(!sizeof(T *),
"We don't know how to add things to this container");
}
}
/// This checks if the container will return a reference to the newly added
/// element after an insert which for example `std::vector::emplace_back` does
/// since C++17; this will allow some optimizations.
template <typename T>
concept returns_reference = appendable_containers<T> && requires {
typename std::remove_cvref_t<T>::reference;
requires requires(typename std::remove_cvref_t<T>::value_type &&val, T obj) {
{
emplace_one(obj, std::move(val))
} -> std::same_as<typename std::remove_cvref_t<T>::reference>;
};
};
template <typename T>
concept smart_pointer = requires(std::remove_cvref_t<T> ptr) {
// Check if T has a member type named element_type
typename std::remove_cvref_t<T>::element_type;
// Check if T has a get() member function
{
ptr.get()
} -> std::same_as<typename std::remove_cvref_t<T>::element_type *>;
// Check if T can be dereferenced
{ *ptr } -> std::same_as<typename std::remove_cvref_t<T>::element_type &>;
};
template <typename T>
concept optional_type = requires(std::remove_cvref_t<T> obj) {
typename std::remove_cvref_t<T>::value_type;
{ obj.value() } -> std::same_as<typename std::remove_cvref_t<T>::value_type&>;
requires requires(typename std::remove_cvref_t<T>::value_type &&val) {
obj.emplace(std::move(val));
{
obj.value_or(val)
} -> std::convertible_to<typename std::remove_cvref_t<T>::value_type>;
};
{ static_cast<bool>(obj) } -> std::same_as<bool>; // convertible to bool
};
} // namespace concepts
} // namespace simdjson
#endif // SIMDJSON_SUPPORTS_CONCEPTS
#endif // SIMDJSON_CONCEPTS_H

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