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94a4802824 | |||
707dbdb391 | |||
bdd343bb57 |
@@ -57,6 +57,7 @@ ConflictSet::ReadRange prefixRange(Arena &arena, TrivialSpan key) {
|
||||
|
||||
void benchConflictSet() {
|
||||
ankerl::nanobench::Bench bench;
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||||
bench.minEpochIterations(10000);
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||||
ConflictSet cs{0};
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||||
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bench.batch(kOpsPerTx);
|
||||
|
@@ -31,11 +31,20 @@ if(NOT CMAKE_BUILD_TYPE AND NOT CMAKE_CONFIGURATION_TYPES)
|
||||
"MinSizeRel" "RelWithDebInfo")
|
||||
endif()
|
||||
|
||||
add_compile_options(-fdata-sections -ffunction-sections -Wswitch-enum
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||||
-Werror=switch-enum -fPIC)
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||||
add_compile_options(
|
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# -Werror=switch-enum
|
||||
-Wswitch-enum -Wunused-variable -fPIC -fdata-sections -ffunction-sections
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||||
-fno-jump-tables # https://github.com/llvm/llvm-project/issues/54247
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)
|
||||
|
||||
if(CMAKE_CXX_COMPILER_ID STREQUAL "Clang")
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add_link_options("-Wno-unused-command-line-argument")
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find_program(LLVM_OBJCOPY llvm-objcopy)
|
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if(LLVM_OBJCOPY)
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set(CMAKE_OBJCOPY
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${LLVM_OBJCOPY}
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CACHE FILEPATH "path to objcopy binary" FORCE)
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endif()
|
||||
endif()
|
||||
|
||||
if(CMAKE_CXX_COMPILER_ID STREQUAL "GNU")
|
||||
@@ -56,6 +65,22 @@ if(HAS_FULL_RELRO)
|
||||
endif()
|
||||
cmake_pop_check_state()
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||||
|
||||
if(CMAKE_SYSTEM_PROCESSOR STREQUAL aarch64 OR CMAKE_SYSTEM_PROCESSOR STREQUAL
|
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arm64)
|
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add_compile_options(-mbranch-protection=standard)
|
||||
else()
|
||||
add_compile_options(-fcf-protection)
|
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set(rewrite_endbr_flags "-fuse-ld=mold;LINKER:-z,rewrite-endbr")
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cmake_push_check_state()
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list(APPEND CMAKE_REQUIRED_LINK_OPTIONS ${rewrite_endbr_flags})
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check_cxx_source_compiles("int main(){}" HAS_REWRITE_ENDBR FAIL_REGEX
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"warning:")
|
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if(HAS_REWRITE_ENDBR)
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add_link_options(${rewrite_endbr_flags})
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endif()
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cmake_pop_check_state()
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endif()
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||||
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||||
set(version_script_flags
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LINKER:--version-script=${CMAKE_CURRENT_SOURCE_DIR}/linker.map)
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cmake_push_check_state()
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@@ -73,27 +98,17 @@ option(DISABLE_TSAN "Disable TSAN" OFF)
|
||||
# https://valgrind.org/docs/manual/manual-core-adv.html#manual-core-adv.clientreq
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include_directories(SYSTEM ${CMAKE_CURRENT_SOURCE_DIR}/third_party/valgrind)
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add_compile_options($<$<COMPILE_LANGUAGE:CXX>:-Wno-invalid-offsetof>)
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||||
|
||||
if(APPLE)
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add_link_options(-Wl,-dead_strip)
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||||
else()
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||||
add_link_options(-Wl,--gc-sections)
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||||
endif()
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||||
|
||||
if(NOT USE_SIMD_FALLBACK)
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||||
cmake_push_check_state()
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list(APPEND CMAKE_REQUIRED_FLAGS -mavx)
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check_include_file_cxx("immintrin.h" HAS_AVX)
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||||
if(HAS_AVX)
|
||||
if(USE_SIMD_FALLBACK)
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||||
add_compile_definitions(USE_SIMD_FALLBACK)
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||||
else()
|
||||
if(CMAKE_SYSTEM_PROCESSOR STREQUAL x86_64)
|
||||
add_compile_options(-mavx)
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||||
add_compile_definitions(HAS_AVX)
|
||||
endif()
|
||||
cmake_pop_check_state()
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|
||||
check_include_file_cxx("arm_neon.h" HAS_ARM_NEON)
|
||||
if(HAS_ARM_NEON)
|
||||
add_compile_definitions(HAS_ARM_NEON)
|
||||
endif()
|
||||
endif()
|
||||
|
||||
@@ -356,6 +371,15 @@ if(CMAKE_SOURCE_DIR STREQUAL CMAKE_CURRENT_SOURCE_DIR AND BUILD_TESTING)
|
||||
${symbol_imports})
|
||||
endif()
|
||||
|
||||
if(NOT CMAKE_CROSSCOMPILING)
|
||||
find_program(HARDENING_CHECK hardening-check)
|
||||
if(HARDENING_CHECK)
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add_test(NAME hardening_check
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COMMAND ${HARDENING_CHECK} $<TARGET_FILE:${PROJECT_NAME}>
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||||
--nofortify --nostackprotector)
|
||||
endif()
|
||||
endif()
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||||
|
||||
# bench
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||||
add_executable(conflict_set_bench Bench.cpp)
|
||||
target_link_libraries(conflict_set_bench PRIVATE ${PROJECT_NAME} nanobench)
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||||
|
2366
ConflictSet.cpp
2366
ConflictSet.cpp
File diff suppressed because it is too large
Load Diff
@@ -13,12 +13,14 @@ RUN TZ=America/Los_Angeles DEBIAN_FRONTEND=noninteractive apt-get install -y \
|
||||
ccache \
|
||||
cmake \
|
||||
curl \
|
||||
devscripts \
|
||||
g++-aarch64-linux-gnu \
|
||||
gcovr \
|
||||
git \
|
||||
gnupg \
|
||||
libc6-dbg \
|
||||
lsb-release \
|
||||
mold \
|
||||
ninja-build \
|
||||
pre-commit \
|
||||
python3-requests \
|
||||
|
18
Internal.h
18
Internal.h
@@ -18,7 +18,6 @@ using namespace weaselab;
|
||||
#include <span>
|
||||
#include <string>
|
||||
#include <thread>
|
||||
#include <unordered_set>
|
||||
#include <utility>
|
||||
|
||||
#include <callgrind.h>
|
||||
@@ -368,23 +367,6 @@ template <class T, class C = std::less<T>> auto set(Arena &arena) {
|
||||
return Set<T, C>(ArenaAlloc<T>(&arena));
|
||||
}
|
||||
|
||||
template <class T> struct MyHash;
|
||||
|
||||
template <class T> struct MyHash<T *> {
|
||||
size_t operator()(const T *t) const noexcept {
|
||||
size_t result;
|
||||
memcpy(&result, &t, sizeof(result));
|
||||
return result;
|
||||
}
|
||||
};
|
||||
|
||||
template <class T>
|
||||
using HashSet =
|
||||
std::unordered_set<T, MyHash<T>, std::equal_to<T>, ArenaAlloc<T>>;
|
||||
template <class T> auto hashSet(Arena &arena) {
|
||||
return HashSet<T>(ArenaAlloc<T>(&arena));
|
||||
}
|
||||
|
||||
template <class T, class U>
|
||||
bool operator==(const ArenaAlloc<T> &lhs, const ArenaAlloc<U> &rhs) {
|
||||
return lhs.arena == rhs.arena;
|
||||
|
4
Jenkinsfile
vendored
4
Jenkinsfile
vendored
@@ -91,7 +91,7 @@ pipeline {
|
||||
minio bucket: 'jenkins', credentialsId: 'jenkins-minio', excludes: '', host: 'minio.weaselab.dev', includes: 'build/*.deb,build/*.rpm,paper/*.pdf', targetFolder: '${JOB_NAME}/${BUILD_NUMBER}/${STAGE_NAME}/'
|
||||
}
|
||||
}
|
||||
stage('Release [gcc]') {
|
||||
stage('gcc') {
|
||||
agent {
|
||||
dockerfile {
|
||||
args '-v /home/jenkins/ccache:/ccache'
|
||||
@@ -99,7 +99,7 @@ pipeline {
|
||||
}
|
||||
}
|
||||
steps {
|
||||
CleanBuildAndTest("-DCMAKE_C_COMPILER=gcc -DCMAKE_CXX_COMPILER=g++ -DCMAKE_CXX_FLAGS=-DNVALGRIND")
|
||||
CleanBuildAndTest("-DCMAKE_C_COMPILER=gcc -DCMAKE_CXX_COMPILER=g++")
|
||||
recordIssues(tools: [gcc()])
|
||||
}
|
||||
}
|
||||
|
55
README.md
55
README.md
@@ -4,7 +4,14 @@ Intended as an alternative to FoundationDB's skip list.
|
||||
|
||||
Hardware for all benchmarks is an AMD Ryzen 9 7900 with (2x32GB) 5600MT/s CL28-34-34-89 1.35V RAM.
|
||||
|
||||
Compiler is `Ubuntu clang version 20.0.0 (++20241029082144+7544d3af0e28-1~exp1~20241029082307.506)`.
|
||||
```
|
||||
$ clang++ --version
|
||||
|
||||
Ubuntu clang version 20.0.0 (++20241120082228+86734c857724-1~exp1~20241120202359.554)
|
||||
Target: x86_64-pc-linux-gnu
|
||||
Thread model: posix
|
||||
InstalledDir: /usr/lib/llvm-20/bin
|
||||
```
|
||||
|
||||
# Microbenchmark
|
||||
|
||||
@@ -12,44 +19,45 @@ Compiler is `Ubuntu clang version 20.0.0 (++20241029082144+7544d3af0e28-1~exp1~2
|
||||
|
||||
| ns/op | op/s | err% | ins/op | cyc/op | IPC | bra/op | miss% | total | benchmark
|
||||
|--------------------:|--------------------:|--------:|----------------:|----------------:|-------:|---------------:|--------:|----------:|:----------
|
||||
| 159.65 | 6,263,576.52 | 1.6% | 2,972.36 | 820.37 | 3.623 | 504.59 | 0.0% | 0.01 | `point reads`
|
||||
| 156.32 | 6,397,320.65 | 0.7% | 2,913.62 | 806.87 | 3.611 | 490.19 | 0.0% | 0.01 | `prefix reads`
|
||||
| 229.18 | 4,363,293.65 | 1.2% | 3,541.05 | 1,219.75 | 2.903 | 629.33 | 0.0% | 0.01 | `range reads`
|
||||
| 363.37 | 2,752,026.30 | 0.3% | 5,273.63 | 1,951.54 | 2.702 | 851.66 | 1.7% | 0.01 | `point writes`
|
||||
| 364.99 | 2,739,787.02 | 0.3% | 5,250.92 | 1,958.54 | 2.681 | 839.24 | 1.7% | 0.01 | `prefix writes`
|
||||
| 242.26 | 4,127,796.58 | 2.9% | 3,117.33 | 1,304.41 | 2.390 | 541.07 | 2.8% | 0.02 | `range writes`
|
||||
| 562.48 | 1,777,855.27 | 0.8% | 7,305.21 | 3,034.34 | 2.408 | 1,329.30 | 1.3% | 0.01 | `monotonic increasing point writes`
|
||||
| 122,688.57 | 8,150.72 | 0.7% | 798,766.00 | 666,842.00 | 1.198 | 144,584.50 | 0.1% | 0.01 | `worst case for radix tree`
|
||||
| 41.71 | 23,976,459.34 | 1.7% | 885.00 | 219.17 | 4.038 | 132.00 | 0.0% | 0.01 | `create and destroy`
|
||||
| 161.29 | 6,200,056.17 | 0.1% | 3,014.03 | 831.04 | 3.627 | 504.59 | 0.0% | 1.93 | `point reads`
|
||||
| 158.32 | 6,316,160.64 | 0.1% | 2,954.16 | 815.80 | 3.621 | 490.17 | 0.0% | 1.89 | `prefix reads`
|
||||
| 237.39 | 4,212,409.50 | 0.2% | 3,592.41 | 1,233.96 | 2.911 | 629.31 | 0.0% | 2.84 | `range reads`
|
||||
| 442.11 | 2,261,878.94 | 0.0% | 4,450.57 | 2,314.25 | 1.923 | 707.92 | 2.1% | 5.28 | `point writes`
|
||||
| 439.89 | 2,273,308.53 | 0.1% | 4,410.22 | 2,302.29 | 1.916 | 694.74 | 2.1% | 5.25 | `prefix writes`
|
||||
| 290.96 | 3,436,936.78 | 0.0% | 2,315.38 | 1,528.68 | 1.515 | 396.69 | 3.3% | 3.49 | `range writes`
|
||||
| 476.93 | 2,096,762.02 | 0.6% | 6,999.33 | 2,484.94 | 2.817 | 1,251.73 | 1.3% | 0.06 | `monotonic increasing point writes`
|
||||
| 131,736.57 | 7,590.91 | 1.1% | 807,444.50 | 704,941.71 | 1.145 | 144,584.60 | 0.9% | 0.01 | `worst case for radix tree`
|
||||
| 45.50 | 21,978,369.95 | 1.1% | 902.00 | 232.36 | 3.882 | 132.00 | 0.0% | 0.01 | `create and destroy`
|
||||
|
||||
## Radix tree (this implementation)
|
||||
|
||||
|
||||
| ns/op | op/s | err% | ins/op | cyc/op | IPC | bra/op | miss% | total | benchmark
|
||||
|--------------------:|--------------------:|--------:|----------------:|----------------:|-------:|---------------:|--------:|----------:|:----------
|
||||
| 12.63 | 79,186,868.18 | 1.4% | 241.61 | 64.76 | 3.731 | 31.64 | 0.8% | 0.01 | `point reads`
|
||||
| 14.48 | 69,078,073.40 | 0.3% | 292.42 | 74.69 | 3.915 | 41.49 | 0.5% | 0.01 | `prefix reads`
|
||||
| 34.37 | 29,094,694.11 | 0.2% | 759.53 | 179.77 | 4.225 | 100.38 | 0.2% | 0.01 | `range reads`
|
||||
| 19.34 | 51,713,896.36 | 0.7% | 369.70 | 101.81 | 3.631 | 47.88 | 0.6% | 0.01 | `point writes`
|
||||
| 39.16 | 25,538,968.61 | 0.2% | 653.16 | 206.77 | 3.159 | 89.62 | 0.8% | 0.01 | `prefix writes`
|
||||
| 40.58 | 24,642,681.12 | 4.7% | 718.44 | 216.44 | 3.319 | 99.28 | 0.6% | 0.01 | `range writes`
|
||||
| 78.77 | 12,694,520.69 | 3.8% | 1,395.55 | 421.73 | 3.309 | 249.81 | 0.1% | 0.01 | `monotonic increasing point writes`
|
||||
| 287,760.50 | 3,475.11 | 0.5% | 3,929,266.50 | 1,550,225.50 | 2.535 | 639,064.00 | 0.0% | 0.01 | `worst case for radix tree`
|
||||
| 104.76 | 9,545,250.65 | 3.1% | 2,000.00 | 552.82 | 3.618 | 342.00 | 0.0% | 0.01 | `create and destroy`
|
||||
| 12.36 | 80,885,626.43 | 0.2% | 243.56 | 63.62 | 3.828 | 31.07 | 0.6% | 0.15 | `point reads`
|
||||
| 14.18 | 70,502,196.81 | 0.1% | 297.72 | 73.13 | 4.071 | 40.31 | 0.5% | 0.17 | `prefix reads`
|
||||
| 33.44 | 29,901,623.04 | 0.1% | 767.90 | 172.42 | 4.454 | 101.32 | 0.2% | 0.40 | `range reads`
|
||||
| 19.48 | 51,342,564.70 | 0.3% | 374.45 | 100.43 | 3.728 | 48.92 | 0.5% | 0.23 | `point writes`
|
||||
| 37.46 | 26,694,471.44 | 0.1% | 672.00 | 193.14 | 3.479 | 101.28 | 0.3% | 0.45 | `prefix writes`
|
||||
| 38.78 | 25,784,784.34 | 0.0% | 738.26 | 199.93 | 3.693 | 111.59 | 0.1% | 0.47 | `range writes`
|
||||
| 76.05 | 13,148,995.74 | 0.7% | 1,450.77 | 397.16 | 3.653 | 275.72 | 0.0% | 0.01 | `monotonic increasing point writes`
|
||||
| 286,920.33 | 3,485.29 | 0.4% | 4,117,948.00 | 1,521,352.00 | 2.707 | 714,833.00 | 0.1% | 0.01 | `worst case for radix tree`
|
||||
| 95.66 | 10,453,798.72 | 0.5% | 1,986.00 | 495.04 | 4.012 | 315.00 | 0.0% | 0.01 | `create and destroy`
|
||||
|
||||
# "Real data" test
|
||||
|
||||
Point queries only, best of three runs. Gc ratio is the ratio of time spent doing garbage collection to time spent adding writes or doing garbage collection. Lower is better.
|
||||
Point queries only. Gc ratio is the ratio of time spent doing garbage collection to time spent adding writes or doing garbage collection. Lower is better.
|
||||
|
||||
## skip list
|
||||
|
||||
```
|
||||
Check: 4.39702 seconds, 370.83 MB/s, Add: 4.50025 seconds, 124.583 MB/s, Gc ratio: 29.1333%, Peak idle memory: 5.51852e+06
|
||||
Check: 4.53508 seconds, 371.81 MB/s, Add: 3.81222 seconds, 150.919 MB/s, Gc ratio: 33.66%, Peak idle memory: 5.61007e+06
|
||||
```
|
||||
|
||||
## radix tree
|
||||
|
||||
```
|
||||
Check: 0.987757 seconds, 1650.76 MB/s, Add: 1.24815 seconds, 449.186 MB/s, Gc ratio: 41.4675%, Peak idle memory: 2.02872e+06
|
||||
Check: 0.957735 seconds, 1760.6 MB/s, Add: 1.19942 seconds, 479.678 MB/s, Gc ratio: 38.6069%, Peak idle memory: 2.05667e+06
|
||||
```
|
||||
|
||||
## hash table
|
||||
@@ -57,5 +65,6 @@ Check: 0.987757 seconds, 1650.76 MB/s, Add: 1.24815 seconds, 449.186 MB/s, Gc ra
|
||||
(The hash table implementation doesn't work on range queries, and its purpose is to provide an idea of how fast point queries can be)
|
||||
|
||||
```
|
||||
Check: 0.84256 seconds, 1935.23 MB/s, Add: 0.697204 seconds, 804.146 MB/s, Gc ratio: 35.4091%
|
||||
Check: 0.804598 seconds, 2095.69 MB/s, Add: 0.671221 seconds, 857.147 MB/s, Gc ratio: 35.0034%, Peak idle memory: 0
|
||||
```
|
||||
|
||||
|
@@ -133,10 +133,10 @@ int main(int argc, const char **argv) {
|
||||
int metricsCount;
|
||||
cs.getMetricsV1(&metrics, &metricsCount);
|
||||
for (int i = 0; i < metricsCount; ++i) {
|
||||
printf("# HELP %s %s\n", metrics[i].name, metrics[i].help);
|
||||
printf("# TYPE %s %s\n", metrics[i].name,
|
||||
fprintf(stderr, "# HELP %s %s\n", metrics[i].name, metrics[i].help);
|
||||
fprintf(stderr, "# TYPE %s %s\n", metrics[i].name,
|
||||
metrics[i].type == metrics[i].Counter ? "counter" : "gauge");
|
||||
printf("%s %g\n", metrics[i].name, metrics[i].getValue());
|
||||
fprintf(stderr, "%s %g\n", metrics[i].name, metrics[i].getValue());
|
||||
}
|
||||
|
||||
printf("Check: %g seconds, %g MB/s, Add: %g seconds, %g MB/s, Gc ratio: "
|
||||
|
187
ServerBench.cpp
187
ServerBench.cpp
@@ -23,6 +23,97 @@
|
||||
#include "Internal.h"
|
||||
#include "third_party/nadeau.h"
|
||||
|
||||
constexpr int kCacheLine = 64; // TODO mac m1 is 128
|
||||
|
||||
template <class T> struct TxQueue {
|
||||
|
||||
explicit TxQueue(int lgSlotCount)
|
||||
: slotCount(1 << lgSlotCount), slotCountMask(slotCount - 1),
|
||||
slots(new T[slotCount]) {
|
||||
// Otherwise we can't tell the difference between full and empty.
|
||||
assert(!(slotCountMask & 0x80000000));
|
||||
}
|
||||
|
||||
/// Call from producer thread, after ensuring consumer is no longer accessing
|
||||
/// it somehow
|
||||
~TxQueue() { delete[] slots; }
|
||||
|
||||
/// Must be called from the producer thread
|
||||
void push(T t) {
|
||||
if (wouldBlock()) {
|
||||
// Wait for pops to change and try again
|
||||
consumer.pops.wait(producer.lastPopRead, std::memory_order_relaxed);
|
||||
producer.lastPopRead = consumer.pops.load(std::memory_order_acquire);
|
||||
}
|
||||
slots[producer.pushesNonAtomic++ & slotCountMask] = std::move(t);
|
||||
// seq_cst so that the notify can't be ordered before the store
|
||||
producer.pushes.store(producer.pushesNonAtomic, std::memory_order_seq_cst);
|
||||
// We have to notify every time, since we don't know if this is the last
|
||||
// push ever
|
||||
producer.pushes.notify_one();
|
||||
}
|
||||
|
||||
/// Must be called from the producer thread
|
||||
uint32_t outstanding() {
|
||||
return producer.pushesNonAtomic -
|
||||
consumer.pops.load(std::memory_order_relaxed);
|
||||
}
|
||||
|
||||
/// Returns true if a call to push might block. Must be called from the
|
||||
/// producer thread.
|
||||
bool wouldBlock() {
|
||||
// See if we can determine that overflow won't happen entirely from state
|
||||
// local to the producer
|
||||
if (producer.pushesNonAtomic - producer.lastPopRead == slotCount - 1) {
|
||||
// Re-read pops with memory order
|
||||
producer.lastPopRead = consumer.pops.load(std::memory_order_acquire);
|
||||
return producer.pushesNonAtomic - producer.lastPopRead == slotCount - 1;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
/// Valid until the next pop, or until this queue is destroyed.
|
||||
T *pop() {
|
||||
// See if we can determine that there's an entry we can pop entirely from
|
||||
// state local to the consumer
|
||||
if (consumer.lastPushRead - consumer.popsNonAtomic == 0) {
|
||||
// Re-read pushes with memory order and try again
|
||||
consumer.lastPushRead = producer.pushes.load(std::memory_order_acquire);
|
||||
if (consumer.lastPushRead - consumer.popsNonAtomic == 0) {
|
||||
// Wait for pushes to change and try again
|
||||
producer.pushes.wait(consumer.lastPushRead, std::memory_order_relaxed);
|
||||
consumer.lastPushRead = producer.pushes.load(std::memory_order_acquire);
|
||||
}
|
||||
}
|
||||
auto result = &slots[consumer.popsNonAtomic++ & slotCountMask];
|
||||
// We only have to write pops with memory order if we've run out of items.
|
||||
// We know that we'll eventually run out.
|
||||
if (consumer.lastPushRead - consumer.popsNonAtomic == 0) {
|
||||
// seq_cst so that the notify can't be ordered before the store
|
||||
consumer.pops.store(consumer.popsNonAtomic, std::memory_order_seq_cst);
|
||||
consumer.pops.notify_one();
|
||||
}
|
||||
return result;
|
||||
}
|
||||
|
||||
private:
|
||||
const uint32_t slotCount;
|
||||
const uint32_t slotCountMask;
|
||||
T *slots;
|
||||
struct alignas(kCacheLine) ProducerState {
|
||||
std::atomic<uint32_t> pushes{0};
|
||||
uint32_t pushesNonAtomic{0};
|
||||
uint32_t lastPopRead{0};
|
||||
};
|
||||
struct alignas(kCacheLine) ConsumerState {
|
||||
std::atomic<uint32_t> pops{0};
|
||||
uint32_t popsNonAtomic{0};
|
||||
uint32_t lastPushRead{0};
|
||||
};
|
||||
ProducerState producer;
|
||||
ConsumerState consumer;
|
||||
};
|
||||
|
||||
std::atomic<int64_t> transactions;
|
||||
|
||||
int64_t safeUnaryMinus(int64_t x) {
|
||||
@@ -47,6 +138,7 @@ void tupleAppend(std::string &output, int64_t value) {
|
||||
|
||||
void tupleAppend(std::string &output, std::string_view value) {
|
||||
output.push_back('\x02');
|
||||
if (memchr(value.data(), '\x00', value.size()) != nullptr) {
|
||||
for (auto c : value) {
|
||||
if (c == '\x00') {
|
||||
output.push_back('\x00');
|
||||
@@ -55,6 +147,9 @@ void tupleAppend(std::string &output, std::string_view value) {
|
||||
output.push_back(c);
|
||||
}
|
||||
}
|
||||
} else {
|
||||
output.insert(output.end(), value.begin(), value.end());
|
||||
}
|
||||
output.push_back('\x00');
|
||||
}
|
||||
|
||||
@@ -64,36 +159,72 @@ template <class... Ts> std::string tupleKey(const Ts &...ts) {
|
||||
return result;
|
||||
}
|
||||
|
||||
constexpr int kWindowSize = 300000;
|
||||
constexpr int kTotalKeyRange = 1'000'000'000;
|
||||
constexpr int kWindowSize = 1'000'000;
|
||||
constexpr int kNumReadKeysPerTx = 5;
|
||||
constexpr int kNumWriteKeysPerTx = 10;
|
||||
|
||||
void workload(weaselab::ConflictSet *cs) {
|
||||
int64_t version = kWindowSize;
|
||||
constexpr int kNumWrites = 16;
|
||||
for (;; transactions.fetch_add(1, std::memory_order_relaxed)) {
|
||||
struct Transaction {
|
||||
std::vector<std::string> keys;
|
||||
std::vector<weaselab::ConflictSet::ReadRange> reads;
|
||||
std::vector<weaselab::ConflictSet::WriteRange> writes;
|
||||
int64_t version;
|
||||
int64_t oldestVersion;
|
||||
Transaction() = default;
|
||||
explicit Transaction(int64_t version)
|
||||
: version(version), oldestVersion(version - kWindowSize) {
|
||||
std::vector<int64_t> keyIndices;
|
||||
for (int i = 0; i < kNumWrites; ++i) {
|
||||
keyIndices.push_back(rand() % 100'000'000);
|
||||
for (int i = 0; i < std::max(kNumReadKeysPerTx, kNumWriteKeysPerTx); ++i) {
|
||||
keyIndices.push_back(rand() % kTotalKeyRange);
|
||||
}
|
||||
std::sort(keyIndices.begin(), keyIndices.end());
|
||||
std::vector<std::string> keys;
|
||||
std::vector<weaselab::ConflictSet::WriteRange> writes;
|
||||
constexpr std::string_view suffix = "this is a suffix";
|
||||
for (int i = 0; i < kNumWrites; ++i) {
|
||||
keys.push_back(tupleKey(0x100, i, keyIndices[i],
|
||||
suffix.substr(0, rand() % suffix.size()),
|
||||
rand()));
|
||||
constexpr std::string_view fullString =
|
||||
"this is a string, where a prefix of it is used as an element of the "
|
||||
"tuple forming the key";
|
||||
for (int i = 0; i < int(keyIndices.size()); ++i) {
|
||||
keys.push_back(
|
||||
tupleKey(0x100, keyIndices[i] / fullString.size(),
|
||||
fullString.substr(0, keyIndices[i] % fullString.size())));
|
||||
// printf("%s\n", printable(keys.back()).c_str());
|
||||
}
|
||||
for (int i = 0; i < kNumWrites; ++i) {
|
||||
for (int i = 0; i < kNumWriteKeysPerTx; ++i) {
|
||||
writes.push_back({{(const uint8_t *)keys[i].data(), int(keys[i].size())},
|
||||
{nullptr, 0}});
|
||||
}
|
||||
cs->addWrites(writes.data(), writes.size(), version);
|
||||
cs->setOldestVersion(version - kWindowSize);
|
||||
++version;
|
||||
reads.push_back({{(const uint8_t *)keys[0].data(), int(keys[0].size())},
|
||||
{(const uint8_t *)keys[1].data(), int(keys[1].size())},
|
||||
version - std::min(10, kWindowSize)});
|
||||
static_assert(kNumReadKeysPerTx >= 3);
|
||||
for (int i = 2; i < kNumReadKeysPerTx; ++i) {
|
||||
reads.push_back({{(const uint8_t *)keys[i].data(), int(keys[i].size())},
|
||||
{nullptr, 0},
|
||||
version - kWindowSize});
|
||||
}
|
||||
}
|
||||
|
||||
Transaction(Transaction &&) = default;
|
||||
Transaction &operator=(Transaction &&) = default;
|
||||
Transaction(Transaction const &) = delete;
|
||||
Transaction const &operator=(Transaction const &) = delete;
|
||||
};
|
||||
|
||||
struct Resolver {
|
||||
|
||||
void resolve(const weaselab::ConflictSet::ReadRange *reads, int readCount,
|
||||
const weaselab::ConflictSet::WriteRange *writes, int writeCount,
|
||||
int64_t newVersion, int64_t newOldestVersion) {
|
||||
results.resize(readCount);
|
||||
cs.check(reads, results.data(), readCount);
|
||||
cs.addWrites(writes, writeCount, newVersion);
|
||||
cs.setOldestVersion(newOldestVersion);
|
||||
}
|
||||
|
||||
ConflictSet cs{0};
|
||||
|
||||
private:
|
||||
std::vector<weaselab::ConflictSet::Result> results;
|
||||
};
|
||||
|
||||
// Adapted from getaddrinfo man page
|
||||
int getListenFd(const char *node, const char *service) {
|
||||
|
||||
@@ -235,7 +366,8 @@ int main(int argc, char **argv) {
|
||||
{
|
||||
int listenFd = getListenFd(argv[1], argv[2]);
|
||||
|
||||
weaselab::ConflictSet cs{0};
|
||||
Resolver resolver;
|
||||
auto &cs = resolver.cs;
|
||||
weaselab::ConflictSet::MetricsV1 *metrics;
|
||||
int metricsCount;
|
||||
cs.getMetricsV1(&metrics, &metricsCount);
|
||||
@@ -284,7 +416,22 @@ int main(int argc, char **argv) {
|
||||
}
|
||||
#endif
|
||||
|
||||
auto w = std::thread{workload, &cs};
|
||||
TxQueue<Transaction> queue{10};
|
||||
|
||||
auto workloadThread = std::thread{[&]() {
|
||||
for (int64_t version = kWindowSize;;
|
||||
++version, transactions.fetch_add(1, std::memory_order_relaxed)) {
|
||||
queue.push(Transaction(version));
|
||||
}
|
||||
}};
|
||||
|
||||
auto resolverThread = std::thread{[&]() {
|
||||
for (;;) {
|
||||
auto tx = queue.pop();
|
||||
resolver.resolve(tx->reads.data(), tx->reads.size(), tx->writes.data(),
|
||||
tx->writes.size(), tx->version, tx->oldestVersion);
|
||||
}
|
||||
}};
|
||||
|
||||
for (;;) {
|
||||
struct sockaddr_storage peer_addr = {};
|
||||
|
@@ -767,7 +767,9 @@ struct __attribute__((visibility("hidden"))) ConflictSet::Impl {
|
||||
false, true);
|
||||
}
|
||||
|
||||
if (!std::is_sorted(points.begin(), points.end())) {
|
||||
sortPoints(points);
|
||||
}
|
||||
|
||||
int activeWriteCount = 0;
|
||||
std::vector<std::pair<StringRef, StringRef>> combinedWriteConflictRanges;
|
||||
@@ -794,7 +796,6 @@ struct __attribute__((visibility("hidden"))) ConflictSet::Impl {
|
||||
int temp[stripeSize];
|
||||
int stripes = (stringCount + stripeSize - 1) / stripeSize;
|
||||
StringRef values[stripeSize];
|
||||
int64_t writeVersions[stripeSize / 2];
|
||||
int ss = stringCount - (stripes - 1) * stripeSize;
|
||||
int64_t entryDelta = 0;
|
||||
for (int s = stripes - 1; s >= 0; s--) {
|
||||
|
BIN
corpus/03d3918b737a86ed38fbeae6dff198d6913b90b2
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corpus/03d3918b737a86ed38fbeae6dff198d6913b90b2
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corpus/05802ff3945dce77412442bf5888cc26c29c56f1
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corpus/05802ff3945dce77412442bf5888cc26c29c56f1
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corpus/09eb955d066ba378b772ae39b5402fc346869b92
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corpus/09eb955d066ba378b772ae39b5402fc346869b92
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corpus/0b93fbf7c443c8403e0c3ee6cd3d9498aa9aaeb0
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corpus/0b93fbf7c443c8403e0c3ee6cd3d9498aa9aaeb0
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corpus/0d35b148f45f7e3f722f4ac298558ba0dd545b48
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corpus/0d35b148f45f7e3f722f4ac298558ba0dd545b48
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corpus/0eb983ee4da4177894988ab187e0d17719df3c3e
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corpus/0eb983ee4da4177894988ab187e0d17719df3c3e
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corpus/136ad900e11b346cf1ef2d3b0a2a94ce6a17e797
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corpus/136ad900e11b346cf1ef2d3b0a2a94ce6a17e797
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corpus/13c843559282b726977d85eacaf35a826527c96b
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corpus/13c843559282b726977d85eacaf35a826527c96b
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corpus/146b83c2813999c1edb8899343c627c6ef69a4fa
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corpus/146b83c2813999c1edb8899343c627c6ef69a4fa
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corpus/162e6a41d2e4317685a27915decf6b12320101f6
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corpus/162e6a41d2e4317685a27915decf6b12320101f6
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corpus/1b4963ae3d371d8859507f41a768fee48abb63c6
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corpus/1b4963ae3d371d8859507f41a768fee48abb63c6
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corpus/1bb0d3ae30bcfd86a68f38da3ea1fa492ab00d91
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corpus/1c65a17a05d620dd0b46c63d71d0febfbbb6aeb6
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corpus/1e7a4ca606559d15183818a6c3d93b2f132b2fff
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corpus/2147648e2dedf87695ab37da36c261249409429e
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corpus/2147648e2dedf87695ab37da36c261249409429e
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corpus/25046edfa84c50539e352d8a5c14d5a38cbccbc9
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corpus/25046edfa84c50539e352d8a5c14d5a38cbccbc9
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corpus/2516ed82e09a82fb3208befc7bbec866b45709ad
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corpus/2516ed82e09a82fb3208befc7bbec866b45709ad
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corpus/25aac6502b651821dbd979eb57bf6b0b58fd5a62
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corpus/26ac1ea5ad85e43ed4aff18c34b6622a5f6982ce
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corpus/26ac1ea5ad85e43ed4aff18c34b6622a5f6982ce
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corpus/2d98ecbaadf6adcba6d9dbb5de15436dfa92df6e
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corpus/2d98ecbaadf6adcba6d9dbb5de15436dfa92df6e
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corpus/2fc82c545b7655644d89bfb2e992a0407f33609e
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corpus/2fc82c545b7655644d89bfb2e992a0407f33609e
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corpus/30c2bb0e617ff9a8b3ab252971be3fdc61f58e9b
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corpus/30c2bb0e617ff9a8b3ab252971be3fdc61f58e9b
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corpus/3349a2cb0de93c001fc81dd09b795b7bb2911cb2
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corpus/3349a2cb0de93c001fc81dd09b795b7bb2911cb2
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corpus/3388003130da408556ca4ebbe6f1e3cc3e110b33
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corpus/3388003130da408556ca4ebbe6f1e3cc3e110b33
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corpus/342740d94427af6509e3332d46d99e1091a5c065
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corpus/342740d94427af6509e3332d46d99e1091a5c065
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corpus/356670ac6fc960add9fbd8b2919603ac553f44b0
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corpus/356670ac6fc960add9fbd8b2919603ac553f44b0
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corpus/3571178de127e769d6229057b205f9df36506cbd
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corpus/3571178de127e769d6229057b205f9df36506cbd
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corpus/3650fdfa4404236224ceb7755858bf97e0171640
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corpus/3650fdfa4404236224ceb7755858bf97e0171640
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corpus/36bc3a1544e6b3564de3e1944274541ea8e44346
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corpus/36bc3a1544e6b3564de3e1944274541ea8e44346
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corpus/38afc68aed0f7a24120276e1de6b070eff89bb68
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corpus/38afc68aed0f7a24120276e1de6b070eff89bb68
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corpus/3c1a9cec8435cdf21b6d0ae9635dfc73df7f9c50
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corpus/3c1a9cec8435cdf21b6d0ae9635dfc73df7f9c50
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corpus/3e3d7a860105072df5049a18635b1d98b55bcb2e
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corpus/3e3d7a860105072df5049a18635b1d98b55bcb2e
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corpus/3ed5e36f67e3dcd0aaf17d62eb2d3fc877c95510
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corpus/3ed5e36f67e3dcd0aaf17d62eb2d3fc877c95510
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corpus/3f8dc957d2c454fbb3a09c3da9228581e22c6f19
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corpus/3f8dc957d2c454fbb3a09c3da9228581e22c6f19
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corpus/40fe1d32a464e3c8ec822d6cca93bff1cbad6d95
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corpus/40fe1d32a464e3c8ec822d6cca93bff1cbad6d95
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corpus/42620ad6039a83a92d5f5c5c8f764c59149a0852
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corpus/42620ad6039a83a92d5f5c5c8f764c59149a0852
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corpus/4344bc3acd529fa28222f5c19dd3be7baa1ee830
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corpus/4344bc3acd529fa28222f5c19dd3be7baa1ee830
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corpus/4741ed549a33458638d6b57c62521d565cee1d60
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corpus/4741ed549a33458638d6b57c62521d565cee1d60
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corpus/4775359275828b7bde4f01b66ad298f698a33235
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corpus/4775359275828b7bde4f01b66ad298f698a33235
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corpus/480df5b3fbac685e168a0b403459c331d0ca9dba
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corpus/480df5b3fbac685e168a0b403459c331d0ca9dba
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corpus/486d0d68d44e9eb5ecfc9d64d23ae561dfc150ad
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corpus/486d0d68d44e9eb5ecfc9d64d23ae561dfc150ad
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corpus/49b5820ef82fd586e356cc210feb5c45219de99a
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corpus/49b5820ef82fd586e356cc210feb5c45219de99a
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corpus/4a2e895a63fd0487d9115aac49305cfad276d901
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corpus/4a2e895a63fd0487d9115aac49305cfad276d901
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corpus/4a8c3da6a5ca2f76c747445a289526d654df9b5b
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corpus/4a8c3da6a5ca2f76c747445a289526d654df9b5b
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corpus/545b54c3b37d81297c38e839d2933bfb67caea01
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corpus/545b54c3b37d81297c38e839d2933bfb67caea01
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corpus/556079270f90fd93f2f52c2a88a2cad39f9906e9
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corpus/556079270f90fd93f2f52c2a88a2cad39f9906e9
Normal file
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corpus/557f000e67b09ad7647e480e5ca51c39c6fb56fd
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corpus/557f000e67b09ad7647e480e5ca51c39c6fb56fd
Normal file
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corpus/5773401508187fb620acd8e7d2b10401f41ab527
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corpus/5773401508187fb620acd8e7d2b10401f41ab527
Normal file
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corpus/59eb125178004fa691678fa4aeab2acf9eb20d92
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corpus/59eb125178004fa691678fa4aeab2acf9eb20d92
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corpus/5c9267b106f81105ccd6ff67115a494ad967d31c
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corpus/5c9267b106f81105ccd6ff67115a494ad967d31c
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corpus/5ed2ebf1ca3bed6ae913c97c653617e831eca3e8
Normal file
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corpus/5ed2ebf1ca3bed6ae913c97c653617e831eca3e8
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corpus/5fdc212fccd64161b4988746fd6f639478b10b1f
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corpus/5fdc212fccd64161b4988746fd6f639478b10b1f
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corpus/613b3f22e9c850e88e43d4a08ab3f4aa690db94a
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corpus/613b3f22e9c850e88e43d4a08ab3f4aa690db94a
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corpus/615c446c969544c9334729cdc8c8ece56f8d5b16
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corpus/615c446c969544c9334729cdc8c8ece56f8d5b16
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corpus/638968595f06cd59f8654d24f043d0f80c30f2ea
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corpus/638968595f06cd59f8654d24f043d0f80c30f2ea
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corpus/68ef897400d07d5efd787fa3ebe973461a50335f
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corpus/68ef897400d07d5efd787fa3ebe973461a50335f
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corpus/6ba4970c96fe05f6fc21e1abf8cbdbc8754a5cd5
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corpus/6ba4970c96fe05f6fc21e1abf8cbdbc8754a5cd5
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corpus/6ca1fb9210b8478a854ec5406201b582c3c45dac
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corpus/6ca1fb9210b8478a854ec5406201b582c3c45dac
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corpus/6ea3ee71e02ee8689b185816d0166c83a8036cf4
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corpus/6ea3ee71e02ee8689b185816d0166c83a8036cf4
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corpus/72e3ccd7785f7ee34adbc41ad0fe37a4e3997fa8
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corpus/72e3ccd7785f7ee34adbc41ad0fe37a4e3997fa8
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corpus/7343aeff21ad270485906be46e6c2398c6af46cd
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corpus/7343aeff21ad270485906be46e6c2398c6af46cd
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corpus/74797d0059e6507099d8630a55539d7a33604e87
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corpus/74797d0059e6507099d8630a55539d7a33604e87
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corpus/7503ae513fff011cd410b8838e15d844567cdba0
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corpus/7503ae513fff011cd410b8838e15d844567cdba0
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corpus/76f4456c1817bdfd54d6a6731f41b5c7951df797
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corpus/76f4456c1817bdfd54d6a6731f41b5c7951df797
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corpus/7901afce389a39f171fc4689e801ffc1198aa550
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corpus/7901afce389a39f171fc4689e801ffc1198aa550
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corpus/7b5306785245d610602d365730a26403731c76ed
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corpus/7b5306785245d610602d365730a26403731c76ed
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corpus/7bf8c8d06451c512507d251d477c3ec61bb869f2
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corpus/7bf8c8d06451c512507d251d477c3ec61bb869f2
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corpus/7ed5a81d9e6335cc454f2c94b9a49cc293ac245e
Normal file
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corpus/7ed5a81d9e6335cc454f2c94b9a49cc293ac245e
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corpus/80fb897a23d1bbce326a8ae8ed257559d1dee707
Normal file
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corpus/80fb897a23d1bbce326a8ae8ed257559d1dee707
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corpus/81dde1ddd68ae192289b273027f960ebb8d31a9d
Normal file
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corpus/81dde1ddd68ae192289b273027f960ebb8d31a9d
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corpus/84ec63b6bdc2fdb26f345a3c45684d1402a48281
Normal file
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corpus/84ec63b6bdc2fdb26f345a3c45684d1402a48281
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corpus/853694cf1e93f28aca05f2e96798ece03061d8a9
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corpus/853694cf1e93f28aca05f2e96798ece03061d8a9
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corpus/8be471d8ac1cad83fb77e32bbfe5db1718c7e92c
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corpus/8be471d8ac1cad83fb77e32bbfe5db1718c7e92c
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corpus/9078ea2ea49ecbfda8dd547b82175f4f2cec85d0
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corpus/9078ea2ea49ecbfda8dd547b82175f4f2cec85d0
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corpus/96e2a3c9f8d6cc448d67502664f737560b422671
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corpus/96e2a3c9f8d6cc448d67502664f737560b422671
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corpus/9797810807ffe3367320b92bdcddbde793d7d69a
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corpus/9797810807ffe3367320b92bdcddbde793d7d69a
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BIN
corpus/9c4cd5f6eff5d90f61b4cbd2ea6c2df3f0f4e0e0
Normal file
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corpus/9c4cd5f6eff5d90f61b4cbd2ea6c2df3f0f4e0e0
Normal file
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corpus/9d20e4df4fc4313547dec93c4d96b08af04b0a01
Normal file
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corpus/9d20e4df4fc4313547dec93c4d96b08af04b0a01
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BIN
corpus/9d22999d454fad771740dc5c9cfb187e9bfb49d7
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corpus/9d22999d454fad771740dc5c9cfb187e9bfb49d7
Normal file
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BIN
corpus/9deef5d7e40663e48c50d5049014e84c3a8ec72f
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corpus/9deef5d7e40663e48c50d5049014e84c3a8ec72f
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corpus/9eda77f2d2a9e4f99b3739c7ef8994feccbd27ed
Normal file
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corpus/9eda77f2d2a9e4f99b3739c7ef8994feccbd27ed
Normal file
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corpus/9f390812bd1313d3727cf6c3502178d35f8f091d
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corpus/9f390812bd1313d3727cf6c3502178d35f8f091d
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corpus/9f5dc619f3006591f1292fd607e6caef88a39cf6
Normal file
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corpus/9f5dc619f3006591f1292fd607e6caef88a39cf6
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BIN
corpus/a0d2aadd536eabbf2f847b8a35e7d2bec90eff43
Normal file
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corpus/a0d2aadd536eabbf2f847b8a35e7d2bec90eff43
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corpus/a27d4173b97e66466a11cd319643a1fe284c703d
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corpus/a27d4173b97e66466a11cd319643a1fe284c703d
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corpus/a7b2e20b5a102718652bd06aab011b899b5e7f16
Normal file
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corpus/a7b2e20b5a102718652bd06aab011b899b5e7f16
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corpus/aa25ea759fa912e11a3f82fd4cfcd62b82e95c98
Normal file
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corpus/aa25ea759fa912e11a3f82fd4cfcd62b82e95c98
Normal file
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BIN
corpus/ac3e3045ec39b92a10b517cbc600b727fcff1056
Normal file
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corpus/ac3e3045ec39b92a10b517cbc600b727fcff1056
Normal file
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BIN
corpus/ae740dc97d10c4533b2d621b5e8c6eb180e0ac3f
Normal file
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corpus/ae740dc97d10c4533b2d621b5e8c6eb180e0ac3f
Normal file
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corpus/afab94e11f2b96751dd648bb294847901787a203
Normal file
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corpus/afab94e11f2b96751dd648bb294847901787a203
Normal file
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Reference in New Issue
Block a user