kszucs commented on code in PR #45360: URL: https://github.com/apache/arrow/pull/45360#discussion_r2025198500
########## cpp/src/parquet/chunker_internal_test.cc: ########## @@ -0,0 +1,1397 @@ +// 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 <gtest/gtest.h> +#include <algorithm> +#include <iostream> +#include <memory> +#include <string> +#include <utility> +#include <vector> + +#include "arrow/table.h" +#include "arrow/testing/extension_type.h" +#include "arrow/testing/generator.h" +#include "arrow/type_fwd.h" +#include "arrow/util/float16.h" +#include "parquet/arrow/reader.h" +#include "parquet/arrow/reader_internal.h" +#include "parquet/arrow/test_util.h" +#include "parquet/arrow/writer.h" +#include "parquet/chunker_internal.h" +#include "parquet/column_writer.h" +#include "parquet/file_writer.h" + +namespace parquet::internal { + +using ::arrow::Array; +using ::arrow::ChunkedArray; +using ::arrow::ConcatenateTables; +using ::arrow::DataType; +using ::arrow::default_memory_pool; +using ::arrow::Field; +using ::arrow::Result; +using ::arrow::Schema; +using ::arrow::Table; +using ::arrow::io::BufferReader; +using ::parquet::arrow::FileReader; +using ::parquet::arrow::FileReaderBuilder; +using ::parquet::arrow::MakeSimpleTable; +using ::parquet::arrow::NonNullArray; +using ::parquet::arrow::WriteTable; + +using ::testing::Bool; +using ::testing::Combine; +using ::testing::Values; + +// generate determinisic and platform-independent data +inline uint64_t hash(uint64_t seed, uint64_t index) { + uint64_t h = (index + seed) * 0xc4ceb9fe1a85ec53ull; + h ^= h >> 33; + h *= 0xff51afd7ed558ccdull; + h ^= h >> 33; + h *= 0xc4ceb9fe1a85ec53ull; + h ^= h >> 33; + return h; +} + +template <typename BuilderType, typename ValueFunc> +Result<std::shared_ptr<Array>> GenerateArray(const std::shared_ptr<DataType>& type, + bool nullable, int64_t length, uint64_t seed, + ValueFunc value_func) { + BuilderType builder(type, default_memory_pool()); + + if (nullable) { + for (int64_t i = 0; i < length; ++i) { + uint64_t val = hash(seed, i); + if (val % 10 == 0) { + RETURN_NOT_OK(builder.AppendNull()); + } else { + RETURN_NOT_OK(builder.Append(value_func(val))); + } + } + } else { + for (int64_t i = 0; i < length; ++i) { + uint64_t val = hash(seed, i); + RETURN_NOT_OK(builder.Append(value_func(val))); + } + } + + std::shared_ptr<Array> array; + RETURN_NOT_OK(builder.Finish(&array)); + RETURN_NOT_OK(array->ValidateFull()); + return array; +} + +#define GENERATE_CASE(TYPE_ID, BUILDER_TYPE, VALUE_EXPR) \ + case ::arrow::Type::TYPE_ID: { \ + auto value_func = [](uint64_t val) { return VALUE_EXPR; }; \ + return GenerateArray<BUILDER_TYPE>(type, nullable, length, seed, value_func); \ + } + +Result<std::shared_ptr<Array>> GenerateArray(const std::shared_ptr<Field>& field, + int64_t length, int64_t seed) { + const std::shared_ptr<DataType>& type = field->type(); + bool nullable = field->nullable(); + + switch (type->id()) { + GENERATE_CASE(BOOL, ::arrow::BooleanBuilder, (val % 2 == 0)) + + // Numeric types. + GENERATE_CASE(INT8, ::arrow::Int8Builder, static_cast<int8_t>(val)) + GENERATE_CASE(INT16, ::arrow::Int16Builder, static_cast<int16_t>(val)) + GENERATE_CASE(INT32, ::arrow::Int32Builder, static_cast<int32_t>(val)) + GENERATE_CASE(INT64, ::arrow::Int64Builder, static_cast<int64_t>(val)) + GENERATE_CASE(UINT8, ::arrow::UInt8Builder, static_cast<uint8_t>(val)) + GENERATE_CASE(UINT16, ::arrow::UInt16Builder, static_cast<uint16_t>(val)) + GENERATE_CASE(UINT32, ::arrow::UInt32Builder, static_cast<uint32_t>(val)) + GENERATE_CASE(UINT64, ::arrow::UInt64Builder, static_cast<uint64_t>(val)) + GENERATE_CASE(HALF_FLOAT, ::arrow::HalfFloatBuilder, + static_cast<uint16_t>(val % 1000)) + GENERATE_CASE(FLOAT, ::arrow::FloatBuilder, static_cast<float>(val % 1000) / 1000.0f) + GENERATE_CASE(DOUBLE, ::arrow::DoubleBuilder, + static_cast<double>(val % 100000) / 1000.0) + case ::arrow::Type::DECIMAL128: { + const auto& decimal_type = static_cast<const ::arrow::Decimal128Type&>(*type); + // Limit the value to fit within the specified precision + int32_t max_exponent = decimal_type.precision() - decimal_type.scale(); + int64_t max_value = static_cast<int64_t>(std::pow(10, max_exponent) - 1); + auto value_func = [&](uint64_t val) { + return ::arrow::Decimal128(val % max_value); + }; + return GenerateArray<::arrow::Decimal128Builder>(type, nullable, length, seed, + value_func); + } + case ::arrow::Type::DECIMAL256: { + const auto& decimal_type = static_cast<const ::arrow::Decimal256Type&>(*type); + // Limit the value to fit within the specified precision, capped at 9 to avoid + // int64_t overflow + int32_t max_exponent = std::min(9, decimal_type.precision() - decimal_type.scale()); + int64_t max_value = static_cast<int64_t>(std::pow(10, max_exponent) - 1); + auto value_func = [&](uint64_t val) { + return ::arrow::Decimal256(val % max_value); + }; + return GenerateArray<::arrow::Decimal256Builder>(type, nullable, length, seed, + value_func); + } + + // Temporal types + GENERATE_CASE(DATE32, ::arrow::Date32Builder, static_cast<int32_t>(val)) + GENERATE_CASE(TIME32, ::arrow::Time32Builder, + std::abs(static_cast<int32_t>(val) % 86400000)) + GENERATE_CASE(TIME64, ::arrow::Time64Builder, + std::abs(static_cast<int64_t>(val) % 86400000000)) + GENERATE_CASE(TIMESTAMP, ::arrow::TimestampBuilder, static_cast<int64_t>(val)) + GENERATE_CASE(DURATION, ::arrow::DurationBuilder, static_cast<int64_t>(val)) + + // Binary and string types. + GENERATE_CASE(STRING, ::arrow::StringBuilder, + std::string("str_") + std::to_string(val)) + GENERATE_CASE(LARGE_STRING, ::arrow::LargeStringBuilder, + std::string("str_") + std::to_string(val)) + GENERATE_CASE(BINARY, ::arrow::BinaryBuilder, + std::string("bin_") + std::to_string(val)) + GENERATE_CASE(LARGE_BINARY, ::arrow::LargeBinaryBuilder, + std::string("bin_") + std::to_string(val)) + case ::arrow::Type::FIXED_SIZE_BINARY: { + auto size = static_cast<::arrow::FixedSizeBinaryType*>(type.get())->byte_width(); + auto value_func = [size](uint64_t val) { + return std::string("bin_") + std::to_string(val).substr(0, size - 4); + }; + return GenerateArray<::arrow::FixedSizeBinaryBuilder>(type, nullable, length, seed, + value_func); + } + + case ::arrow::Type::STRUCT: { + auto struct_type = static_cast<::arrow::StructType*>(type.get()); + std::vector<std::shared_ptr<Array>> child_arrays; + for (auto i = 0; i < struct_type->num_fields(); i++) { + ARROW_ASSIGN_OR_RAISE(auto child_array, + GenerateArray(struct_type->field(i), length, + seed + static_cast<uint64_t>(i + 300))); + child_arrays.push_back(child_array); + } + auto struct_array = + std::make_shared<::arrow::StructArray>(type, length, child_arrays); + return struct_array; + } + + case ::arrow::Type::LIST: { + auto list_type = static_cast<::arrow::ListType*>(type.get()); + auto value_field = ::arrow::field("item", list_type->value_type()); + ARROW_ASSIGN_OR_RAISE(auto values_array, GenerateArray(value_field, length, seed)); + auto offset_builder = ::arrow::Int32Builder(); + auto bitmap_builder = ::arrow::TypedBufferBuilder<bool>(); + + int32_t num_nulls = 0; + int32_t num_elements = 0; + uint8_t element_size = 0; + int32_t current_offset = 0; + RETURN_NOT_OK(offset_builder.Append(current_offset)); + while (current_offset < length) { + num_elements++; + auto is_valid = !(nullable && (num_elements % 10 == 0)); + if (is_valid) { + RETURN_NOT_OK(bitmap_builder.Append(true)); + current_offset += element_size; + if (current_offset > length) { + RETURN_NOT_OK(offset_builder.Append(static_cast<int32_t>(length))); + break; + } else { + RETURN_NOT_OK(offset_builder.Append(current_offset)); + } + } else { + RETURN_NOT_OK(offset_builder.Append(static_cast<int32_t>(current_offset))); + RETURN_NOT_OK(bitmap_builder.Append(false)); + num_nulls++; + } + + if (element_size > 4) { + element_size = 0; + } else { + element_size++; + } + } + + std::shared_ptr<Array> offsets_array; + RETURN_NOT_OK(offset_builder.Finish(&offsets_array)); + std::shared_ptr<Buffer> bitmap_buffer; + RETURN_NOT_OK(bitmap_builder.Finish(&bitmap_buffer)); + ARROW_ASSIGN_OR_RAISE( + auto list_array, ::arrow::ListArray::FromArrays( + type, *offsets_array, *values_array, default_memory_pool(), + bitmap_buffer, num_nulls)); + RETURN_NOT_OK(list_array->ValidateFull()); + return list_array; + } + + case ::arrow::Type::EXTENSION: { + auto extension_type = dynamic_cast<::arrow::ExtensionType*>(type.get()); + auto storage_type = extension_type->storage_type(); + auto storage_field = ::arrow::field("storage", storage_type, true); + ARROW_ASSIGN_OR_RAISE(auto storage_array, + GenerateArray(storage_field, length, seed)); + return ::arrow::ExtensionType::WrapArray(type, storage_array); + } + + default: + return ::arrow::Status::NotImplemented("Unsupported data type " + type->ToString()); + } +} + +Result<std::shared_ptr<Table>> GenerateTable( + const std::shared_ptr<::arrow::Schema>& schema, int64_t size, int64_t seed = 0) { + std::vector<std::shared_ptr<Array>> arrays; + for (const auto& field : schema->fields()) { + ARROW_ASSIGN_OR_RAISE(auto array, GenerateArray(field, size, seed)); + arrays.push_back(array); + } + return Table::Make(schema, arrays, size); +} + +Result<std::shared_ptr<Table>> ConcatAndCombine( + const std::vector<std::shared_ptr<Table>>& parts) { + // Concatenate and combine chunks so the table doesn't carry information about + // the modification points + ARROW_ASSIGN_OR_RAISE(auto table, ConcatenateTables(parts)); + return table->CombineChunks(); +} + +Result<std::shared_ptr<Buffer>> WriteTableToBuffer( + const std::shared_ptr<Table>& table, int64_t min_chunk_size, int64_t max_chunk_size, + bool enable_dictionary = false, int64_t row_group_size = 1024 * 1024, + ParquetDataPageVersion data_page_version = ParquetDataPageVersion::V1) { + auto sink = CreateOutputStream(); + + auto builder = WriterProperties::Builder(); + builder.enable_content_defined_chunking()->content_defined_chunking_options( + min_chunk_size, max_chunk_size, /*norm_factor=*/0); + builder.data_page_version(data_page_version); + if (enable_dictionary) { + builder.enable_dictionary(); + } else { + builder.disable_dictionary(); + } + auto write_props = builder.build(); + auto arrow_props = ArrowWriterProperties::Builder().store_schema()->build(); + RETURN_NOT_OK(WriteTable(*table, default_memory_pool(), sink, row_group_size, + write_props, arrow_props)); + return sink->Finish(); +} + +Result<std::shared_ptr<Table>> ReadTableFromBuffer(const std::shared_ptr<Buffer>& data) { + std::shared_ptr<Table> result; + FileReaderBuilder builder; + std::unique_ptr<FileReader> reader; + RETURN_NOT_OK(builder.Open(std::make_shared<BufferReader>(data))); + RETURN_NOT_OK(builder.memory_pool(::arrow::default_memory_pool()) + ->properties(default_arrow_reader_properties()) + ->Build(&reader)); + RETURN_NOT_OK(reader->ReadTable(&result)); + return result; +} + +// Type to represent a list of chunks where each element is the size of the chunk. +using ChunkList = std::vector<int64_t>; + +// Type to represent the sizes and lengths of the data pages in a column. + +struct RowGroupInfo { + ChunkList page_lengths; + ChunkList page_sizes; + bool has_dictionary_page = false; +}; + +using ParquetInfo = std::vector<RowGroupInfo>; + +ParquetInfo GetColumnParquetInfo(const std::shared_ptr<Buffer>& data, + int column_index = 0) { + // Read the parquet data out of the buffer and get the sizes and lengths of the + // data pages in given column. We assert on the sizes and lengths of the pages + // to ensure that the chunking is done correctly. + ParquetInfo result; + + auto buffer_reader = std::make_shared<BufferReader>(data); + auto parquet_reader = ParquetFileReader::Open(std::move(buffer_reader)); + + auto metadata = parquet_reader->metadata(); + for (int rg = 0; rg < metadata->num_row_groups(); rg++) { + auto page_reader = parquet_reader->RowGroup(rg)->GetColumnPageReader(column_index); + RowGroupInfo rg_info; + while (auto page = page_reader->NextPage()) { + if (page->type() == PageType::DATA_PAGE || page->type() == PageType::DATA_PAGE_V2) { + auto data_page = static_cast<DataPage*>(page.get()); + rg_info.page_sizes.push_back(data_page->size()); + rg_info.page_lengths.push_back(data_page->num_values()); + } else if (page->type() == PageType::DICTIONARY_PAGE) { + rg_info.has_dictionary_page = true; + } + } + result.push_back(rg_info); + } + + return result; +} + +Result<ParquetInfo> WriteAndGetParquetInfo( + const std::shared_ptr<Table>& table, uint64_t min_chunk_size, uint64_t max_chunk_size, Review Comment: Updated. -- This is an automated message from the Apache Git Service. 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