| // Licensed to the Apache Software Foundation (ASF) under one |
| // or more contributor license agreements. See the NOTICE file |
| // distributed with this work for additional information |
| // regarding copyright ownership. The ASF licenses this file |
| // to you under the Apache License, Version 2.0 (the |
| // "License"); you may not use this file except in compliance |
| // with the License. You may obtain a copy of the License at |
| // |
| // http://www.apache.org/licenses/LICENSE-2.0 |
| // |
| // Unless required by applicable law or agreed to in writing, |
| // software distributed under the License is distributed on an |
| // "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| // KIND, either express or implied. See the License for the |
| // specific language governing permissions and limitations |
| // under the License. |
| |
| #include "benchmark/benchmark.h" |
| |
| #include "parquet/encoding-internal.h" |
| #include "parquet/file/reader-internal.h" |
| #include "parquet/util/memory.h" |
| |
| using arrow::default_memory_pool; |
| using arrow::MemoryPool; |
| |
| namespace parquet { |
| |
| using format::ColumnChunk; |
| using schema::PrimitiveNode; |
| |
| namespace benchmark { |
| |
| std::shared_ptr<ColumnDescriptor> Int64Schema(Repetition::type repetition) { |
| auto node = PrimitiveNode::Make("int64", repetition, Type::INT64); |
| return std::make_shared<ColumnDescriptor>( |
| node, repetition != Repetition::REQUIRED, repetition == Repetition::REPEATED); |
| } |
| |
| static void BM_PlainEncodingBoolean(::benchmark::State& state) { |
| std::vector<bool> values(state.range(0), 64); |
| PlainEncoder<BooleanType> encoder(nullptr); |
| |
| while (state.KeepRunning()) { |
| encoder.Put(values, values.size()); |
| encoder.FlushValues(); |
| } |
| state.SetBytesProcessed(state.iterations() * state.range(0) * sizeof(bool)); |
| } |
| |
| BENCHMARK(BM_PlainEncodingBoolean)->Range(1024, 65536); |
| |
| static void BM_PlainDecodingBoolean(::benchmark::State& state) { |
| std::vector<bool> values(state.range(0), 64); |
| bool* output = new bool[state.range(0)]; |
| PlainEncoder<BooleanType> encoder(nullptr); |
| encoder.Put(values, values.size()); |
| std::shared_ptr<Buffer> buf = encoder.FlushValues(); |
| |
| while (state.KeepRunning()) { |
| PlainDecoder<BooleanType> decoder(nullptr); |
| decoder.SetData(values.size(), buf->data(), buf->size()); |
| decoder.Decode(output, values.size()); |
| } |
| |
| state.SetBytesProcessed(state.iterations() * state.range(0) * sizeof(bool)); |
| delete[] output; |
| } |
| |
| BENCHMARK(BM_PlainDecodingBoolean)->Range(1024, 65536); |
| |
| static void BM_PlainEncodingInt64(::benchmark::State& state) { |
| std::vector<int64_t> values(state.range(0), 64); |
| PlainEncoder<Int64Type> encoder(nullptr); |
| |
| while (state.KeepRunning()) { |
| encoder.Put(values.data(), values.size()); |
| encoder.FlushValues(); |
| } |
| state.SetBytesProcessed(state.iterations() * state.range(0) * sizeof(int64_t)); |
| } |
| |
| BENCHMARK(BM_PlainEncodingInt64)->Range(1024, 65536); |
| |
| static void BM_PlainDecodingInt64(::benchmark::State& state) { |
| std::vector<int64_t> values(state.range(0), 64); |
| PlainEncoder<Int64Type> encoder(nullptr); |
| encoder.Put(values.data(), values.size()); |
| std::shared_ptr<Buffer> buf = encoder.FlushValues(); |
| |
| while (state.KeepRunning()) { |
| PlainDecoder<Int64Type> decoder(nullptr); |
| decoder.SetData(values.size(), buf->data(), buf->size()); |
| decoder.Decode(values.data(), values.size()); |
| } |
| state.SetBytesProcessed(state.iterations() * state.range(0) * sizeof(int64_t)); |
| } |
| |
| BENCHMARK(BM_PlainDecodingInt64)->Range(1024, 65536); |
| |
| template <typename Type> |
| static void DecodeDict( |
| std::vector<typename Type::c_type>& values, ::benchmark::State& state) { |
| typedef typename Type::c_type T; |
| int num_values = values.size(); |
| |
| ChunkedAllocator pool; |
| MemoryPool* allocator = default_memory_pool(); |
| std::shared_ptr<ColumnDescriptor> descr = Int64Schema(Repetition::REQUIRED); |
| |
| DictEncoder<Type> encoder(descr.get(), &pool, allocator); |
| for (int i = 0; i < num_values; ++i) { |
| encoder.Put(values[i]); |
| } |
| |
| std::shared_ptr<PoolBuffer> dict_buffer = |
| AllocateBuffer(allocator, encoder.dict_encoded_size()); |
| |
| std::shared_ptr<PoolBuffer> indices = |
| AllocateBuffer(allocator, encoder.EstimatedDataEncodedSize()); |
| |
| encoder.WriteDict(dict_buffer->mutable_data()); |
| int actual_bytes = encoder.WriteIndices(indices->mutable_data(), indices->size()); |
| |
| PARQUET_THROW_NOT_OK(indices->Resize(actual_bytes)); |
| |
| while (state.KeepRunning()) { |
| PlainDecoder<Type> dict_decoder(descr.get()); |
| dict_decoder.SetData(encoder.num_entries(), dict_buffer->data(), dict_buffer->size()); |
| DictionaryDecoder<Type> decoder(descr.get()); |
| decoder.SetDict(&dict_decoder); |
| decoder.SetData(num_values, indices->data(), indices->size()); |
| decoder.Decode(values.data(), num_values); |
| } |
| |
| state.SetBytesProcessed(state.iterations() * state.range(0) * sizeof(T)); |
| } |
| |
| static void BM_DictDecodingInt64_repeats(::benchmark::State& state) { |
| typedef Int64Type Type; |
| typedef typename Type::c_type T; |
| |
| std::vector<T> values(state.range(0), 64); |
| DecodeDict<Type>(values, state); |
| } |
| |
| BENCHMARK(BM_DictDecodingInt64_repeats)->Range(1024, 65536); |
| |
| static void BM_DictDecodingInt64_literals(::benchmark::State& state) { |
| typedef Int64Type Type; |
| typedef typename Type::c_type T; |
| |
| std::vector<T> values(state.range(0)); |
| for (size_t i = 0; i < values.size(); ++i) { |
| values[i] = i; |
| } |
| DecodeDict<Type>(values, state); |
| } |
| |
| BENCHMARK(BM_DictDecodingInt64_literals)->Range(1024, 65536); |
| |
| } // namespace benchmark |
| |
| } // namespace parquet |