#include #include #include #include #include #include #include #include namespace DB { namespace { constexpr auto DATA_FILE_EXTENSION = ".bin"; constexpr auto MARKS_FILE_EXTENSION = ".mrk"; } /// Implementation of IMergedBlockOutputStream. IMergedBlockOutputStream::IMergedBlockOutputStream( MergeTreeData & storage_, size_t min_compress_block_size_, size_t max_compress_block_size_, CompressionSettings compression_settings_, size_t aio_threshold_) : storage(storage_), min_compress_block_size(min_compress_block_size_), max_compress_block_size(max_compress_block_size_), aio_threshold(aio_threshold_), compression_settings(compression_settings_) { } void IMergedBlockOutputStream::addStreams( const String & path, const String & name, const IDataType & type, size_t estimated_size, bool skip_offsets) { IDataType::StreamCallback callback = [&] (const IDataType::SubstreamPath & substream_path) { if (skip_offsets && !substream_path.empty() && substream_path.back().type == IDataType::Substream::ArraySizes) return; String stream_name = IDataType::getFileNameForStream(name, substream_path); /// Shared offsets for Nested type. if (column_streams.count(stream_name)) return; column_streams[stream_name] = std::make_unique( stream_name, path + stream_name, DATA_FILE_EXTENSION, path + stream_name, MARKS_FILE_EXTENSION, max_compress_block_size, compression_settings, estimated_size, aio_threshold); }; IDataType::SubstreamPath stream_path; type.enumerateStreams(callback, stream_path); } IDataType::OutputStreamGetter IMergedBlockOutputStream::createStreamGetter( const String & name, OffsetColumns & offset_columns, bool skip_offsets) { return [&, skip_offsets] (const IDataType::SubstreamPath & substream_path) -> WriteBuffer * { bool is_offsets = !substream_path.empty() && substream_path.back().type == IDataType::Substream::ArraySizes; if (is_offsets && skip_offsets) return nullptr; String stream_name = IDataType::getFileNameForStream(name, substream_path); /// Don't write offsets more than one time for Nested type. if (is_offsets && offset_columns.count(stream_name)) return nullptr; return &column_streams[stream_name]->compressed; }; } void IMergedBlockOutputStream::writeData( const String & name, const IDataType & type, const IColumn & column, OffsetColumns & offset_columns, bool skip_offsets, IDataType::SerializeBinaryBulkStatePtr & serialization_state) { auto & settings = storage.context.getSettingsRef(); IDataType::SerializeBinaryBulkSettings serialize_settings; serialize_settings.getter = createStreamGetter(name, offset_columns, skip_offsets); serialize_settings.low_cardinality_max_dictionary_size = settings.low_cardinality_max_dictionary_size; serialize_settings.low_cardinality_use_single_dictionary_for_part = settings.low_cardinality_use_single_dictionary_for_part != 0; size_t size = column.size(); size_t prev_mark = 0; while (prev_mark < size) { size_t limit = 0; /// If there is `index_offset`, then the first mark goes not immediately, but after this number of rows. if (prev_mark == 0 && index_offset != 0) limit = index_offset; else { limit = storage.index_granularity; /// Write marks. type.enumerateStreams([&] (const IDataType::SubstreamPath & substream_path) { bool is_offsets = !substream_path.empty() && substream_path.back().type == IDataType::Substream::ArraySizes; if (is_offsets && skip_offsets) return; String stream_name = IDataType::getFileNameForStream(name, substream_path); /// Don't write offsets more than one time for Nested type. if (is_offsets && offset_columns.count(stream_name)) return; ColumnStream & stream = *column_streams[stream_name]; /// There could already be enough data to compress into the new block. if (stream.compressed.offset() >= min_compress_block_size) stream.compressed.next(); writeIntBinary(stream.plain_hashing.count(), stream.marks); writeIntBinary(stream.compressed.offset(), stream.marks); }, serialize_settings.path); } type.serializeBinaryBulkWithMultipleStreams(column, prev_mark, limit, serialize_settings, serialization_state); /// So that instead of the marks pointing to the end of the compressed block, there were marks pointing to the beginning of the next one. type.enumerateStreams([&] (const IDataType::SubstreamPath & substream_path) { bool is_offsets = !substream_path.empty() && substream_path.back().type == IDataType::Substream::ArraySizes; if (is_offsets && skip_offsets) return; String stream_name = IDataType::getFileNameForStream(name, substream_path); /// Don't write offsets more than one time for Nested type. if (is_offsets && offset_columns.count(stream_name)) return; column_streams[stream_name]->compressed.nextIfAtEnd(); }, serialize_settings.path); prev_mark += limit; } /// Memoize offsets for Nested types, that are already written. They will not be written again for next columns of Nested structure. type.enumerateStreams([&] (const IDataType::SubstreamPath & substream_path) { bool is_offsets = !substream_path.empty() && substream_path.back().type == IDataType::Substream::ArraySizes; if (is_offsets) { String stream_name = IDataType::getFileNameForStream(name, substream_path); offset_columns.insert(stream_name); } }, serialize_settings.path); } /// Implementation of IMergedBlockOutputStream::ColumnStream. IMergedBlockOutputStream::ColumnStream::ColumnStream( const String & escaped_column_name_, const String & data_path, const std::string & data_file_extension_, const std::string & marks_path, const std::string & marks_file_extension_, size_t max_compress_block_size, CompressionSettings compression_settings, size_t estimated_size, size_t aio_threshold) : escaped_column_name(escaped_column_name_), data_file_extension{data_file_extension_}, marks_file_extension{marks_file_extension_}, plain_file(createWriteBufferFromFileBase(data_path + data_file_extension, estimated_size, aio_threshold, max_compress_block_size)), plain_hashing(*plain_file), compressed_buf(plain_hashing, compression_settings), compressed(compressed_buf), marks_file(marks_path + marks_file_extension, 4096, O_TRUNC | O_CREAT | O_WRONLY), marks(marks_file) { } void IMergedBlockOutputStream::ColumnStream::finalize() { compressed.next(); plain_file->next(); marks.next(); } void IMergedBlockOutputStream::ColumnStream::sync() { plain_file->sync(); marks_file.sync(); } void IMergedBlockOutputStream::ColumnStream::addToChecksums(MergeTreeData::DataPart::Checksums & checksums) { String name = escaped_column_name; checksums.files[name + data_file_extension].is_compressed = true; checksums.files[name + data_file_extension].uncompressed_size = compressed.count(); checksums.files[name + data_file_extension].uncompressed_hash = compressed.getHash(); checksums.files[name + data_file_extension].file_size = plain_hashing.count(); checksums.files[name + data_file_extension].file_hash = plain_hashing.getHash(); checksums.files[name + marks_file_extension].file_size = marks.count(); checksums.files[name + marks_file_extension].file_hash = marks.getHash(); } /// Implementation of MergedBlockOutputStream. MergedBlockOutputStream::MergedBlockOutputStream( MergeTreeData & storage_, String part_path_, const NamesAndTypesList & columns_list_, CompressionSettings compression_settings) : IMergedBlockOutputStream( storage_, storage_.context.getSettings().min_compress_block_size, storage_.context.getSettings().max_compress_block_size, compression_settings, storage_.context.getSettings().min_bytes_to_use_direct_io), columns_list(columns_list_), part_path(part_path_) { init(); for (const auto & it : columns_list) addStreams(part_path, it.name, *it.type, 0, false); } MergedBlockOutputStream::MergedBlockOutputStream( MergeTreeData & storage_, String part_path_, const NamesAndTypesList & columns_list_, CompressionSettings compression_settings, const MergeTreeData::DataPart::ColumnToSize & merged_column_to_size_, size_t aio_threshold_) : IMergedBlockOutputStream( storage_, storage_.context.getSettings().min_compress_block_size, storage_.context.getSettings().max_compress_block_size, compression_settings, aio_threshold_), columns_list(columns_list_), part_path(part_path_) { init(); for (const auto & it : columns_list) { size_t estimated_size = 0; if (aio_threshold > 0) { auto it2 = merged_column_to_size_.find(it.name); if (it2 != merged_column_to_size_.end()) estimated_size = it2->second; } addStreams(part_path, it.name, *it.type, estimated_size, false); } } std::string MergedBlockOutputStream::getPartPath() const { return part_path; } /// If data is pre-sorted. void MergedBlockOutputStream::write(const Block & block) { writeImpl(block, nullptr); } /** If the data is not sorted, but we pre-calculated the permutation, after which they will be sorted. * This method is used to save RAM, since you do not need to keep two blocks at once - the source and the sorted. */ void MergedBlockOutputStream::writeWithPermutation(const Block & block, const IColumn::Permutation * permutation) { writeImpl(block, permutation); } void MergedBlockOutputStream::writeSuffix() { throw Exception("Method writeSuffix is not supported by MergedBlockOutputStream", ErrorCodes::NOT_IMPLEMENTED); } void MergedBlockOutputStream::writeSuffixAndFinalizePart( MergeTreeData::MutableDataPartPtr & new_part, const NamesAndTypesList * total_column_list, MergeTreeData::DataPart::Checksums * additional_column_checksums) { /// Finish columns serialization. if (!serialization_states.empty()) { auto & settings = storage.context.getSettingsRef(); IDataType::SerializeBinaryBulkSettings serialize_settings; serialize_settings.low_cardinality_max_dictionary_size = settings.low_cardinality_max_dictionary_size; serialize_settings.low_cardinality_use_single_dictionary_for_part = settings.low_cardinality_use_single_dictionary_for_part != 0; OffsetColumns offset_columns; auto it = columns_list.begin(); for (size_t i = 0; i < columns_list.size(); ++i, ++it) { serialize_settings.getter = createStreamGetter(it->name, offset_columns, false); it->type->serializeBinaryBulkStateSuffix(serialize_settings, serialization_states[i]); } } if (!total_column_list) total_column_list = &columns_list; /// Finish write and get checksums. MergeTreeData::DataPart::Checksums checksums; if (additional_column_checksums) checksums = std::move(*additional_column_checksums); if (index_stream) { index_stream->next(); checksums.files["primary.idx"].file_size = index_stream->count(); checksums.files["primary.idx"].file_hash = index_stream->getHash(); index_stream = nullptr; } for (ColumnStreams::iterator it = column_streams.begin(); it != column_streams.end(); ++it) { it->second->finalize(); it->second->addToChecksums(checksums); } column_streams.clear(); if (storage.format_version >= MERGE_TREE_DATA_MIN_FORMAT_VERSION_WITH_CUSTOM_PARTITIONING) { new_part->partition.store(storage, part_path, checksums); if (new_part->minmax_idx.initialized) new_part->minmax_idx.store(storage, part_path, checksums); else if (rows_count) throw Exception("MinMax index was not initialized for new non-empty part " + new_part->name + ". It is a bug.", ErrorCodes::LOGICAL_ERROR); WriteBufferFromFile count_out(part_path + "count.txt", 4096); HashingWriteBuffer count_out_hashing(count_out); writeIntText(rows_count, count_out_hashing); count_out_hashing.next(); checksums.files["count.txt"].file_size = count_out_hashing.count(); checksums.files["count.txt"].file_hash = count_out_hashing.getHash(); } { /// Write a file with a description of columns. WriteBufferFromFile out(part_path + "columns.txt", 4096); total_column_list->writeText(out); } { /// Write file with checksums. WriteBufferFromFile out(part_path + "checksums.txt", 4096); checksums.write(out); } new_part->rows_count = rows_count; new_part->marks_count = marks_count; new_part->modification_time = time(nullptr); new_part->columns = *total_column_list; new_part->index.assign(std::make_move_iterator(index_columns.begin()), std::make_move_iterator(index_columns.end())); new_part->checksums = checksums; new_part->bytes_on_disk = MergeTreeData::DataPart::calculateTotalSizeOnDisk(new_part->getFullPath()); } void MergedBlockOutputStream::init() { Poco::File(part_path).createDirectories(); if (storage.hasPrimaryKey()) { index_file_stream = std::make_unique( part_path + "primary.idx", DBMS_DEFAULT_BUFFER_SIZE, O_TRUNC | O_CREAT | O_WRONLY); index_stream = std::make_unique(*index_file_stream); } } void MergedBlockOutputStream::writeImpl(const Block & block, const IColumn::Permutation * permutation) { block.checkNumberOfRows(); size_t rows = block.rows(); /// The set of written offset columns so that you do not write shared offsets of nested structures columns several times OffsetColumns offset_columns; auto sort_columns = storage.getPrimarySortColumns(); /// Here we will add the columns related to the Primary Key, then write the index. std::vector primary_columns(sort_columns.size()); std::map primary_columns_name_to_position; for (size_t i = 0, size = sort_columns.size(); i < size; ++i) { const auto & name = sort_columns[i]; if (!primary_columns_name_to_position.emplace(name, i).second) throw Exception("Primary key contains duplicate columns", ErrorCodes::BAD_ARGUMENTS); primary_columns[i] = block.getByName(name); /// Reorder primary key columns in advance and add them to `primary_columns`. if (permutation) primary_columns[i].column = primary_columns[i].column->permute(*permutation, 0); } if (index_columns.empty()) { index_columns.resize(sort_columns.size()); for (size_t i = 0, size = sort_columns.size(); i < size; ++i) index_columns[i] = primary_columns[i].column->cloneEmpty(); } if (serialization_states.empty()) { serialization_states.reserve(columns_list.size()); OffsetColumns tmp_offset_columns; IDataType::SerializeBinaryBulkSettings settings; for (const auto & col : columns_list) { settings.getter = createStreamGetter(col.name, tmp_offset_columns, false); serialization_states.emplace_back(nullptr); col.type->serializeBinaryBulkStatePrefix(settings, serialization_states.back()); } } /// Now write the data. auto it = columns_list.begin(); for (size_t i = 0; i < columns_list.size(); ++i, ++it) { const ColumnWithTypeAndName & column = block.getByName(it->name); if (permutation) { auto primary_column_it = primary_columns_name_to_position.find(it->name); if (primary_columns_name_to_position.end() != primary_column_it) { auto & primary_column = *primary_columns[primary_column_it->second].column; writeData(column.name, *column.type, primary_column, offset_columns, false, serialization_states[i]); } else { /// We rearrange the columns that are not included in the primary key here; Then the result is released - to save RAM. ColumnPtr permuted_column = column.column->permute(*permutation, 0); writeData(column.name, *column.type, *permuted_column, offset_columns, false, serialization_states[i]); } } else { writeData(column.name, *column.type, *column.column, offset_columns, false, serialization_states[i]); } } rows_count += rows; { /** While filling index (index_columns), disable memory tracker. * Because memory is allocated here (maybe in context of INSERT query), * but then freed in completely different place (while merging parts), where query memory_tracker is not available. * And otherwise it will look like excessively growing memory consumption in context of query. * (observed in long INSERT SELECTs) */ auto temporarily_disable_memory_tracker = getCurrentMemoryTrackerActionLock(); /// Write index. The index contains Primary Key value for each `index_granularity` row. for (size_t i = index_offset; i < rows; i += storage.index_granularity) { if (storage.hasPrimaryKey()) { for (size_t j = 0, size = primary_columns.size(); j < size; ++j) { const IColumn & primary_column = *primary_columns[j].column.get(); index_columns[j]->insertFrom(primary_column, i); primary_columns[j].type->serializeBinary(primary_column, i, *index_stream); } } ++marks_count; } } size_t written_for_last_mark = (storage.index_granularity - index_offset + rows) % storage.index_granularity; index_offset = (storage.index_granularity - written_for_last_mark) % storage.index_granularity; } /// Implementation of MergedColumnOnlyOutputStream. MergedColumnOnlyOutputStream::MergedColumnOnlyOutputStream( MergeTreeData & storage_, const Block & header_, String part_path_, bool sync_, CompressionSettings compression_settings, bool skip_offsets_) : IMergedBlockOutputStream( storage_, storage_.context.getSettings().min_compress_block_size, storage_.context.getSettings().max_compress_block_size, compression_settings, storage_.context.getSettings().min_bytes_to_use_direct_io), header(header_), part_path(part_path_), sync(sync_), skip_offsets(skip_offsets_) { } void MergedColumnOnlyOutputStream::write(const Block & block) { if (!initialized) { column_streams.clear(); serialization_states.clear(); serialization_states.reserve(block.columns()); OffsetColumns tmp_offset_columns; IDataType::SerializeBinaryBulkSettings settings; for (size_t i = 0; i < block.columns(); ++i) { const auto & col = block.safeGetByPosition(i); addStreams(part_path, col.name, *col.type, 0, skip_offsets); serialization_states.emplace_back(nullptr); settings.getter = createStreamGetter(col.name, tmp_offset_columns, false); col.type->serializeBinaryBulkStatePrefix(settings, serialization_states.back()); } initialized = true; } size_t rows = block.rows(); OffsetColumns offset_columns; for (size_t i = 0; i < block.columns(); ++i) { const ColumnWithTypeAndName & column = block.safeGetByPosition(i); writeData(column.name, *column.type, *column.column, offset_columns, skip_offsets, serialization_states[i]); } size_t written_for_last_mark = (storage.index_granularity - index_offset + rows) % storage.index_granularity; index_offset = (storage.index_granularity - written_for_last_mark) % storage.index_granularity; } void MergedColumnOnlyOutputStream::writeSuffix() { throw Exception("Method writeSuffix is not supported by MergedColumnOnlyOutputStream", ErrorCodes::NOT_IMPLEMENTED); } MergeTreeData::DataPart::Checksums MergedColumnOnlyOutputStream::writeSuffixAndGetChecksums() { /// Finish columns serialization. auto & settings = storage.context.getSettingsRef(); IDataType::SerializeBinaryBulkSettings serialize_settings; serialize_settings.low_cardinality_max_dictionary_size = settings.low_cardinality_max_dictionary_size; serialize_settings.low_cardinality_use_single_dictionary_for_part = settings.low_cardinality_use_single_dictionary_for_part != 0; OffsetColumns offset_columns; for (size_t i = 0; i < header.columns(); ++i) { auto & column = header.safeGetByPosition(i); serialize_settings.getter = createStreamGetter(column.name, offset_columns, skip_offsets); column.type->serializeBinaryBulkStateSuffix(serialize_settings, serialization_states[i]); } MergeTreeData::DataPart::Checksums checksums; for (auto & column_stream : column_streams) { column_stream.second->finalize(); if (sync) column_stream.second->sync(); column_stream.second->addToChecksums(checksums); } column_streams.clear(); serialization_states.clear(); initialized = false; return checksums; } }