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| // Copyright 2020 Google Inc. All Rights Reserved. | |
| // | |
| // Redistribution and use in source and binary forms, with or without | |
| // modification, are permitted provided that the following conditions are | |
| // met: | |
| // | |
| // * Redistributions of source code must retain the above copyright | |
| // notice, this list of conditions and the following disclaimer. | |
| // * Redistributions in binary form must reproduce the above | |
| // copyright notice, this list of conditions and the following disclaimer | |
| // in the documentation and/or other materials provided with the | |
| // distribution. | |
| // * Neither the name of Google Inc. nor the names of its | |
| // contributors may be used to endorse or promote products derived from | |
| // this software without specific prior written permission. | |
| // | |
| // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS | |
| // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT | |
| // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR | |
| // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT | |
| // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, | |
| // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT | |
| // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, | |
| // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY | |
| // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT | |
| // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE | |
| // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. | |
| namespace snappy { | |
| namespace { | |
| void FilesAndLevels(benchmark::internal::Benchmark* benchmark) { | |
| for (int i = 0; i < ARRAYSIZE(kTestDataFiles); ++i) { | |
| for (int level = snappy::CompressionOptions::MinCompressionLevel(); | |
| level <= snappy::CompressionOptions::MaxCompressionLevel(); ++level) { | |
| benchmark->ArgPair(i, level); | |
| } | |
| } | |
| } | |
| void BM_UFlat(benchmark::State& state) { | |
| // Pick file to process based on state.range(0). | |
| int file_index = state.range(0); | |
| CHECK_GE(file_index, 0); | |
| CHECK_LT(file_index, ARRAYSIZE(kTestDataFiles)); | |
| std::string contents = | |
| ReadTestDataFile(kTestDataFiles[file_index].filename, | |
| kTestDataFiles[file_index].size_limit); | |
| std::string zcontents; | |
| snappy::Compress( | |
| contents.data(), contents.size(), &zcontents, | |
| snappy::CompressionOptions{/*level=*/static_cast<int>(state.range(1))}); | |
| char* dst = new char[contents.size()]; | |
| for (auto s : state) { | |
| CHECK(snappy::RawUncompress(zcontents.data(), zcontents.size(), dst)); | |
| benchmark::DoNotOptimize(dst); | |
| } | |
| state.SetBytesProcessed(static_cast<int64_t>(state.iterations()) * | |
| static_cast<int64_t>(contents.size())); | |
| state.SetLabel(kTestDataFiles[file_index].label); | |
| delete[] dst; | |
| } | |
| BENCHMARK(BM_UFlat)->Apply(FilesAndLevels); | |
| struct SourceFiles { | |
| SourceFiles() { | |
| for (int i = 0; i < kFiles; i++) { | |
| std::string contents = ReadTestDataFile(kTestDataFiles[i].filename, | |
| kTestDataFiles[i].size_limit); | |
| max_size = std::max(max_size, contents.size()); | |
| sizes[i] = contents.size(); | |
| snappy::Compress(contents.data(), contents.size(), &zcontents[i]); | |
| } | |
| } | |
| static constexpr int kFiles = ARRAYSIZE(kTestDataFiles); | |
| std::string zcontents[kFiles]; | |
| size_t sizes[kFiles]; | |
| size_t max_size = 0; | |
| }; | |
| void BM_UFlatMedley(benchmark::State& state) { | |
| static const SourceFiles* const source = new SourceFiles(); | |
| std::vector<char> dst(source->max_size); | |
| for (auto s : state) { | |
| for (int i = 0; i < SourceFiles::kFiles; i++) { | |
| CHECK(snappy::RawUncompress(source->zcontents[i].data(), | |
| source->zcontents[i].size(), dst.data())); | |
| benchmark::DoNotOptimize(dst); | |
| } | |
| } | |
| int64_t source_sizes = 0; | |
| for (int i = 0; i < SourceFiles::kFiles; i++) { | |
| source_sizes += static_cast<int64_t>(source->sizes[i]); | |
| } | |
| state.SetBytesProcessed(static_cast<int64_t>(state.iterations()) * | |
| source_sizes); | |
| } | |
| BENCHMARK(BM_UFlatMedley); | |
| void BM_UValidate(benchmark::State& state) { | |
| // Pick file to process based on state.range(0). | |
| int file_index = state.range(0); | |
| CHECK_GE(file_index, 0); | |
| CHECK_LT(file_index, ARRAYSIZE(kTestDataFiles)); | |
| std::string contents = | |
| ReadTestDataFile(kTestDataFiles[file_index].filename, | |
| kTestDataFiles[file_index].size_limit); | |
| std::string zcontents; | |
| snappy::Compress( | |
| contents.data(), contents.size(), &zcontents, | |
| snappy::CompressionOptions{/*level=*/static_cast<int>(state.range(1))}); | |
| for (auto s : state) { | |
| CHECK(snappy::IsValidCompressedBuffer(zcontents.data(), zcontents.size())); | |
| } | |
| state.SetBytesProcessed(static_cast<int64_t>(state.iterations()) * | |
| static_cast<int64_t>(contents.size())); | |
| state.SetLabel(kTestDataFiles[file_index].label); | |
| } | |
| BENCHMARK(BM_UValidate)->Apply(FilesAndLevels); | |
| void BM_UValidateMedley(benchmark::State& state) { | |
| static const SourceFiles* const source = new SourceFiles(); | |
| for (auto s : state) { | |
| for (int i = 0; i < SourceFiles::kFiles; i++) { | |
| CHECK(snappy::IsValidCompressedBuffer(source->zcontents[i].data(), | |
| source->zcontents[i].size())); | |
| } | |
| } | |
| int64_t source_sizes = 0; | |
| for (int i = 0; i < SourceFiles::kFiles; i++) { | |
| source_sizes += static_cast<int64_t>(source->sizes[i]); | |
| } | |
| state.SetBytesProcessed(static_cast<int64_t>(state.iterations()) * | |
| source_sizes); | |
| } | |
| BENCHMARK(BM_UValidateMedley); | |
| void BM_UIOVecSource(benchmark::State& state) { | |
| // Pick file to process based on state.range(0). | |
| int file_index = state.range(0); | |
| int level = state.range(1); | |
| CHECK_GE(file_index, 0); | |
| CHECK_LT(file_index, ARRAYSIZE(kTestDataFiles)); | |
| std::string contents = | |
| ReadTestDataFile(kTestDataFiles[file_index].filename, | |
| kTestDataFiles[file_index].size_limit); | |
| // Create `iovec`s of the `contents`. | |
| const int kNumEntries = 10; | |
| struct iovec iov[kNumEntries]; | |
| size_t used_so_far = 0; | |
| for (int i = 0; i < kNumEntries; ++i) { | |
| iov[i].iov_base = const_cast<char*>(contents.data()) + used_so_far; | |
| if (used_so_far == contents.size()) { | |
| iov[i].iov_len = 0; | |
| continue; | |
| } | |
| if (i == kNumEntries - 1) { | |
| iov[i].iov_len = contents.size() - used_so_far; | |
| } else { | |
| iov[i].iov_len = contents.size() / kNumEntries; | |
| } | |
| used_so_far += iov[i].iov_len; | |
| } | |
| char* dst = new char[snappy::MaxCompressedLength(contents.size())]; | |
| size_t zsize = 0; | |
| for (auto s : state) { | |
| snappy::RawCompressFromIOVec(iov, contents.size(), dst, &zsize, | |
| snappy::CompressionOptions{/*level=*/level}); | |
| benchmark::DoNotOptimize(iov); | |
| } | |
| state.SetBytesProcessed(static_cast<int64_t>(state.iterations()) * | |
| static_cast<int64_t>(contents.size())); | |
| const double compression_ratio = | |
| static_cast<double>(zsize) / std::max<size_t>(1, contents.size()); | |
| state.SetLabel(StrFormat("%s (%.2f %%)", kTestDataFiles[file_index].label, | |
| 100.0 * compression_ratio)); | |
| VLOG(0) << StrFormat("compression for %s: %d -> %d bytes", | |
| kTestDataFiles[file_index].label, contents.size(), | |
| zsize); | |
| delete[] dst; | |
| } | |
| BENCHMARK(BM_UIOVecSource)->Apply(FilesAndLevels); | |
| void BM_UIOVecSink(benchmark::State& state) { | |
| // Pick file to process based on state.range(0). | |
| int file_index = state.range(0); | |
| CHECK_GE(file_index, 0); | |
| CHECK_LT(file_index, ARRAYSIZE(kTestDataFiles)); | |
| std::string contents = | |
| ReadTestDataFile(kTestDataFiles[file_index].filename, | |
| kTestDataFiles[file_index].size_limit); | |
| std::string zcontents; | |
| snappy::Compress(contents.data(), contents.size(), &zcontents); | |
| // Uncompress into an iovec containing ten entries. | |
| const int kNumEntries = 10; | |
| struct iovec iov[kNumEntries]; | |
| char* dst = new char[contents.size()]; | |
| size_t used_so_far = 0; | |
| for (int i = 0; i < kNumEntries; ++i) { | |
| iov[i].iov_base = dst + used_so_far; | |
| if (used_so_far == contents.size()) { | |
| iov[i].iov_len = 0; | |
| continue; | |
| } | |
| if (i == kNumEntries - 1) { | |
| iov[i].iov_len = contents.size() - used_so_far; | |
| } else { | |
| iov[i].iov_len = contents.size() / kNumEntries; | |
| } | |
| used_so_far += iov[i].iov_len; | |
| } | |
| for (auto s : state) { | |
| CHECK(snappy::RawUncompressToIOVec(zcontents.data(), zcontents.size(), iov, | |
| kNumEntries)); | |
| benchmark::DoNotOptimize(iov); | |
| } | |
| state.SetBytesProcessed(static_cast<int64_t>(state.iterations()) * | |
| static_cast<int64_t>(contents.size())); | |
| state.SetLabel(kTestDataFiles[file_index].label); | |
| delete[] dst; | |
| } | |
| BENCHMARK(BM_UIOVecSink)->DenseRange(0, 4); | |
| void BM_UFlatSink(benchmark::State& state) { | |
| // Pick file to process based on state.range(0). | |
| int file_index = state.range(0); | |
| CHECK_GE(file_index, 0); | |
| CHECK_LT(file_index, ARRAYSIZE(kTestDataFiles)); | |
| std::string contents = | |
| ReadTestDataFile(kTestDataFiles[file_index].filename, | |
| kTestDataFiles[file_index].size_limit); | |
| std::string zcontents; | |
| snappy::Compress( | |
| contents.data(), contents.size(), &zcontents, | |
| snappy::CompressionOptions{/*level=*/static_cast<int>(state.range(1))}); | |
| char* dst = new char[contents.size()]; | |
| for (auto s : state) { | |
| snappy::ByteArraySource source(zcontents.data(), zcontents.size()); | |
| snappy::UncheckedByteArraySink sink(dst); | |
| CHECK(snappy::Uncompress(&source, &sink)); | |
| benchmark::DoNotOptimize(sink); | |
| } | |
| state.SetBytesProcessed(static_cast<int64_t>(state.iterations()) * | |
| static_cast<int64_t>(contents.size())); | |
| state.SetLabel(kTestDataFiles[file_index].label); | |
| std::string s(dst, contents.size()); | |
| CHECK_EQ(contents, s); | |
| delete[] dst; | |
| } | |
| BENCHMARK(BM_UFlatSink)->Apply(FilesAndLevels); | |
| void BM_ZFlat(benchmark::State& state) { | |
| // Pick file to process based on state.range(0). | |
| int file_index = state.range(0); | |
| int level = state.range(1); | |
| CHECK_GE(file_index, 0); | |
| CHECK_LT(file_index, ARRAYSIZE(kTestDataFiles)); | |
| std::string contents = | |
| ReadTestDataFile(kTestDataFiles[file_index].filename, | |
| kTestDataFiles[file_index].size_limit); | |
| char* dst = new char[snappy::MaxCompressedLength(contents.size())]; | |
| size_t zsize = 0; | |
| for (auto s : state) { | |
| snappy::RawCompress(contents.data(), contents.size(), dst, &zsize, | |
| snappy::CompressionOptions{/*level=*/level}); | |
| benchmark::DoNotOptimize(dst); | |
| } | |
| state.SetBytesProcessed(static_cast<int64_t>(state.iterations()) * | |
| static_cast<int64_t>(contents.size())); | |
| const double compression_ratio = | |
| static_cast<double>(zsize) / std::max<size_t>(1, contents.size()); | |
| state.SetLabel(StrFormat("%s (%.2f %%)", kTestDataFiles[file_index].label, | |
| 100.0 * compression_ratio)); | |
| VLOG(0) << StrFormat("compression for %s: %d -> %d bytes", | |
| kTestDataFiles[file_index].label, contents.size(), | |
| zsize); | |
| delete[] dst; | |
| } | |
| BENCHMARK(BM_ZFlat)->Apply(FilesAndLevels); | |
| void BM_ZFlatAll(benchmark::State& state) { | |
| const int num_files = ARRAYSIZE(kTestDataFiles); | |
| int level = state.range(0); | |
| std::vector<std::string> contents(num_files); | |
| std::vector<char*> dst(num_files); | |
| int64_t total_contents_size = 0; | |
| for (int i = 0; i < num_files; ++i) { | |
| contents[i] = ReadTestDataFile(kTestDataFiles[i].filename, | |
| kTestDataFiles[i].size_limit); | |
| dst[i] = new char[snappy::MaxCompressedLength(contents[i].size())]; | |
| total_contents_size += contents[i].size(); | |
| } | |
| size_t zsize = 0; | |
| for (auto s : state) { | |
| for (int i = 0; i < num_files; ++i) { | |
| snappy::RawCompress(contents[i].data(), contents[i].size(), dst[i], | |
| &zsize, snappy::CompressionOptions{/*level=*/level}); | |
| benchmark::DoNotOptimize(dst); | |
| } | |
| } | |
| state.SetBytesProcessed(static_cast<int64_t>(state.iterations()) * | |
| total_contents_size); | |
| for (char* dst_item : dst) { | |
| delete[] dst_item; | |
| } | |
| state.SetLabel(StrFormat("%d kTestDataFiles", num_files)); | |
| } | |
| BENCHMARK(BM_ZFlatAll)->DenseRange(1, 2); | |
| void BM_ZFlatIncreasingTableSize(benchmark::State& state) { | |
| CHECK_GT(ARRAYSIZE(kTestDataFiles), 0); | |
| int level = state.range(0); | |
| const std::string base_content = ReadTestDataFile( | |
| kTestDataFiles[0].filename, kTestDataFiles[0].size_limit); | |
| std::vector<std::string> contents; | |
| std::vector<char*> dst; | |
| int64_t total_contents_size = 0; | |
| for (int table_bits = kMinHashTableBits; table_bits <= kMaxHashTableBits; | |
| ++table_bits) { | |
| std::string content = base_content; | |
| content.resize(1 << table_bits); | |
| dst.push_back(new char[snappy::MaxCompressedLength(content.size())]); | |
| total_contents_size += content.size(); | |
| contents.push_back(std::move(content)); | |
| } | |
| size_t zsize = 0; | |
| for (auto s : state) { | |
| for (size_t i = 0; i < contents.size(); ++i) { | |
| snappy::RawCompress(contents[i].data(), contents[i].size(), dst[i], | |
| &zsize, snappy::CompressionOptions{/*level=*/level}); | |
| benchmark::DoNotOptimize(dst); | |
| } | |
| } | |
| state.SetBytesProcessed(static_cast<int64_t>(state.iterations()) * | |
| total_contents_size); | |
| for (char* dst_item : dst) { | |
| delete[] dst_item; | |
| } | |
| state.SetLabel(StrFormat("%d tables", contents.size())); | |
| } | |
| BENCHMARK(BM_ZFlatIncreasingTableSize)->DenseRange(1, 2); | |
| } // namespace | |
| } // namespace snappy | |