#include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include #include namespace ProfileEvents { extern const Event MergedRows; extern const Event MergedUncompressedBytes; extern const Event MergesTimeMilliseconds; } namespace CurrentMetrics { extern const Metric BackgroundPoolTask; } namespace DB { namespace ErrorCodes { extern const int ABORTED; } using MergeAlgorithm = MergeTreeDataMerger::MergeAlgorithm; /// Do not start to merge parts, if free space is less than sum size of parts times specified coefficient. /// This value is chosen to not allow big merges to eat all free space. Thus allowing small merges to proceed. static const double DISK_USAGE_COEFFICIENT_TO_SELECT = 2; /// To do merge, reserve amount of space equals to sum size of parts times specified coefficient. /// Must be strictly less than DISK_USAGE_COEFFICIENT_TO_SELECT, /// because between selecting parts to merge and doing merge, amount of free space could have decreased. static const double DISK_USAGE_COEFFICIENT_TO_RESERVE = 1.1; void MergeTreeDataMerger::FuturePart::assign(MergeTreeData::DataPartsVector parts_) { if (parts_.empty()) return; for (size_t i = 0; i < parts_.size(); ++i) { if (parts_[i]->partition.value != parts_[0]->partition.value) throw Exception( "Attempting to merge parts " + parts_[i]->name + " and " + parts_[0]->name + " that are in different partitions", ErrorCodes::LOGICAL_ERROR); } parts = std::move(parts_); UInt32 max_level = 0; for (const auto & part : parts) max_level = std::max(max_level, part->info.level); part_info.partition_id = parts.front()->info.partition_id; part_info.min_block = parts.front()->info.min_block; part_info.max_block = parts.back()->info.max_block; part_info.level = max_level + 1; if (parts.front()->storage.format_version < MERGE_TREE_DATA_MIN_FORMAT_VERSION_WITH_CUSTOM_PARTITIONING) { DayNum_t min_date = DayNum_t(std::numeric_limits::max()); DayNum_t max_date = DayNum_t(std::numeric_limits::min()); for (const auto & part : parts) { min_date = std::min(min_date, part->getMinDate()); max_date = std::max(max_date, part->getMaxDate()); } name = part_info.getPartNameV0(min_date, max_date); } else name = part_info.getPartName(); } MergeTreeDataMerger::MergeTreeDataMerger(MergeTreeData & data_, const BackgroundProcessingPool & pool_) : data(data_), pool(pool_), log(&Logger::get(data.getLogName() + " (Merger)")) { } void MergeTreeDataMerger::setCancellationHook(CancellationHook cancellation_hook_) { cancellation_hook = cancellation_hook_; } size_t MergeTreeDataMerger::getMaxPartsSizeForMerge() { size_t total_threads_in_pool = pool.getNumberOfThreads(); size_t busy_threads_in_pool = CurrentMetrics::values[CurrentMetrics::BackgroundPoolTask].load(std::memory_order_relaxed); return getMaxPartsSizeForMerge(total_threads_in_pool, busy_threads_in_pool == 0 ? 0 : busy_threads_in_pool - 1); /// 1 is current thread } size_t MergeTreeDataMerger::getMaxPartsSizeForMerge(size_t pool_size, size_t pool_used) { if (pool_used > pool_size) throw Exception("Logical error: invalid arguments passed to getMaxPartsSizeForMerge: pool_used > pool_size", ErrorCodes::LOGICAL_ERROR); size_t free_entries = pool_size - pool_used; size_t max_size = 0; if (free_entries >= data.settings.number_of_free_entries_in_pool_to_lower_max_size_of_merge) max_size = data.settings.max_bytes_to_merge_at_max_space_in_pool; else max_size = interpolateExponential( data.settings.max_bytes_to_merge_at_min_space_in_pool, data.settings.max_bytes_to_merge_at_max_space_in_pool, static_cast(free_entries) / data.settings.number_of_free_entries_in_pool_to_lower_max_size_of_merge); return std::min(max_size, static_cast(DiskSpaceMonitor::getUnreservedFreeSpace(data.full_path) / DISK_USAGE_COEFFICIENT_TO_SELECT)); } bool MergeTreeDataMerger::selectPartsToMerge( FuturePart & future_part, bool aggressive, size_t max_total_size_to_merge, const AllowedMergingPredicate & can_merge_callback) { MergeTreeData::DataPartsVector data_parts = data.getDataPartsVector(); if (data_parts.empty()) return false; time_t current_time = time(nullptr); IMergeSelector::Partitions partitions; const String * prev_partition_id = nullptr; const MergeTreeData::DataPartPtr * prev_part = nullptr; for (const MergeTreeData::DataPartPtr & part : data_parts) { const String & partition_id = part->info.partition_id; if (!prev_partition_id || partition_id != *prev_partition_id || (prev_part && !can_merge_callback(*prev_part, part))) { if (partitions.empty() || !partitions.back().empty()) partitions.emplace_back(); prev_partition_id = &partition_id; } IMergeSelector::Part part_info; part_info.size = part->size_in_bytes; part_info.age = current_time - part->modification_time; part_info.level = part->info.level; part_info.data = ∂ partitions.back().emplace_back(part_info); /// Check for consistency of data parts. If assertion is failed, it requires immediate investigation. if (prev_part && part->info.partition_id == (*prev_part)->info.partition_id && part->info.min_block < (*prev_part)->info.max_block) { LOG_ERROR(log, "Part " << part->name << " intersects previous part " << (*prev_part)->name); } prev_part = ∂ } std::unique_ptr merge_selector; SimpleMergeSelector::Settings merge_settings; if (aggressive) merge_settings.base = 1; /// NOTE Could allow selection of different merge strategy. merge_selector = std::make_unique(merge_settings); IMergeSelector::PartsInPartition parts_to_merge = merge_selector->select( partitions, max_total_size_to_merge); if (parts_to_merge.empty()) return false; if (parts_to_merge.size() == 1) throw Exception("Logical error: merge selector returned only one part to merge", ErrorCodes::LOGICAL_ERROR); MergeTreeData::DataPartsVector parts; parts.reserve(parts_to_merge.size()); for (IMergeSelector::Part & part_info : parts_to_merge) { const MergeTreeData::DataPartPtr & part = *static_cast(part_info.data); parts.push_back(part); } LOG_DEBUG(log, "Selected " << parts.size() << " parts from " << parts.front()->name << " to " << parts.back()->name); future_part.assign(std::move(parts)); return true; } bool MergeTreeDataMerger::selectAllPartsToMergeWithinPartition( FuturePart & future_part, size_t available_disk_space, const AllowedMergingPredicate & can_merge, const String & partition_id, bool final) { MergeTreeData::DataPartsVector parts = selectAllPartsFromPartition(partition_id); if (parts.empty()) return false; if (!final && parts.size() == 1) return false; MergeTreeData::DataPartsVector::const_iterator it = parts.begin(); MergeTreeData::DataPartsVector::const_iterator prev_it = it; size_t sum_bytes = 0; while (it != parts.end()) { if ((it != parts.begin() || parts.size() == 1) /// For the case of one part, we check that it can be merged "with itself". && !can_merge(*prev_it, *it)) return false; sum_bytes += (*it)->size_in_bytes; prev_it = it; ++it; } /// Enough disk space to cover the new merge with a margin. if (available_disk_space <= sum_bytes * DISK_USAGE_COEFFICIENT_TO_SELECT) { time_t now = time(nullptr); if (now - disk_space_warning_time > 3600) { disk_space_warning_time = now; LOG_WARNING(log, "Won't merge parts from " << parts.front()->name << " to " << (*prev_it)->name << " because not enough free space: " << formatReadableSizeWithBinarySuffix(available_disk_space) << " free and unreserved " << "(" << formatReadableSizeWithBinarySuffix(DiskSpaceMonitor::getReservedSpace()) << " reserved in " << DiskSpaceMonitor::getReservationCount() << " chunks), " << formatReadableSizeWithBinarySuffix(sum_bytes) << " required now (+" << static_cast((DISK_USAGE_COEFFICIENT_TO_SELECT - 1.0) * 100) << "% on overhead); suppressing similar warnings for the next hour"); } return false; } LOG_DEBUG(log, "Selected " << parts.size() << " parts from " << parts.front()->name << " to " << parts.back()->name); future_part.assign(std::move(parts)); return true; } MergeTreeData::DataPartsVector MergeTreeDataMerger::selectAllPartsFromPartition(const String & partition_id) { MergeTreeData::DataPartsVector parts_from_partition; MergeTreeData::DataParts data_parts = data.getDataParts(); for (MergeTreeData::DataParts::iterator it = data_parts.cbegin(); it != data_parts.cend(); ++it) { const MergeTreeData::DataPartPtr & current_part = *it; if (current_part->info.partition_id != partition_id) continue; parts_from_partition.push_back(current_part); } return parts_from_partition; } /// PK columns are sorted and merged, ordinary columns are gathered using info from merge step static void extractMergingAndGatheringColumns(const NamesAndTypesList & all_columns, ExpressionActionsPtr primary_key_expressions, const MergeTreeData::MergingParams & merging_params, NamesAndTypesList & gathering_columns, Names & gathering_column_names, NamesAndTypesList & merging_columns, Names & merging_column_names ) { Names key_columns_dup = primary_key_expressions->getRequiredColumns(); std::set key_columns(key_columns_dup.cbegin(), key_columns_dup.cend()); /// Force sign column for Collapsing mode if (merging_params.mode == MergeTreeData::MergingParams::Collapsing) key_columns.emplace(merging_params.sign_column); /// Force version column for Replacing mode if (merging_params.mode == MergeTreeData::MergingParams::Replacing) key_columns.emplace(merging_params.version_column); /// TODO: also force "summing" and "aggregating" columns to make Horizontal merge only for such columns for (auto & column : all_columns) { auto it = std::find(key_columns.cbegin(), key_columns.cend(), column.name); if (key_columns.end() == it) { gathering_columns.emplace_back(column); gathering_column_names.emplace_back(column.name); } else { merging_columns.emplace_back(column); merging_column_names.emplace_back(column.name); } } } /* Allow to compute more accurate progress statistics */ class ColumnSizeEstimator { MergeTreeData::DataPart::ColumnToSize map; public: /// Stores approximate size of columns in bytes /// Exact values are not required since it used for relative values estimation (progress). size_t sum_total = 0; size_t sum_index_columns = 0; size_t sum_ordinary_columns = 0; ColumnSizeEstimator(const MergeTreeData::DataPart::ColumnToSize & map_, const Names & key_columns, const Names & ordinary_columns) : map(map_) { for (const auto & name : key_columns) if (!map.count(name)) map[name] = 0; for (const auto & name : ordinary_columns) if (!map.count(name)) map[name] = 0; for (const auto & name : key_columns) sum_index_columns += map.at(name); for (const auto & name : ordinary_columns) sum_ordinary_columns += map.at(name); sum_total = std::max(static_cast(1), sum_index_columns + sum_ordinary_columns); } /// Approximate size of num_rows column elements if column contains num_total_rows elements Float64 columnSize(const String & column, size_t num_rows, size_t num_total_rows) const { return static_cast(map.at(column)) / num_total_rows * num_rows; } /// Relative size of num_rows column elements (in comparison with overall size of all columns) if column contains num_total_rows elements Float64 columnProgress(const String & column, size_t num_rows, size_t num_total_rows) const { return columnSize(column, num_rows, num_total_rows) / sum_total; } /// Like columnSize, but takes into account only PK columns Float64 keyColumnsSize(size_t num_rows, size_t num_total_rows) const { return static_cast(sum_index_columns) / num_total_rows * num_rows; } /// Like columnProgress, but takes into account only PK columns Float64 keyColumnsProgress(size_t num_rows, size_t num_total_rows) const { return keyColumnsSize(num_rows, num_total_rows) / sum_total; } }; /** Progress callback. Is used by Horizontal merger and first step of Vertical merger. * What it should update: * - approximate progress * - amount of merged rows and their size (PK columns subset is used in case of Vertical merge) * - time elapsed for current merge. */ class MergeProgressCallback { public: MergeProgressCallback(MergeList::Entry & merge_entry_, UInt64 & watch_prev_elapsed_) : merge_entry(merge_entry_), watch_prev_elapsed(watch_prev_elapsed_) {} MergeProgressCallback(MergeList::Entry & merge_entry_, size_t num_total_rows, const ColumnSizeEstimator & column_sizes, UInt64 & watch_prev_elapsed_, MergeTreeDataMerger::MergeAlgorithm merge_alg_ = MergeAlgorithm::Vertical) : merge_entry(merge_entry_), watch_prev_elapsed(watch_prev_elapsed_), merge_alg(merge_alg_) { average_elem_progress = (merge_alg == MergeAlgorithm::Horizontal) ? 1.0 / num_total_rows : column_sizes.keyColumnsProgress(1, num_total_rows); updateWatch(); } MergeList::Entry & merge_entry; UInt64 & watch_prev_elapsed; Float64 average_elem_progress; const MergeAlgorithm merge_alg{MergeAlgorithm::Vertical}; void updateWatch() { UInt64 watch_curr_elapsed = merge_entry->watch.elapsed(); ProfileEvents::increment(ProfileEvents::MergesTimeMilliseconds, (watch_curr_elapsed - watch_prev_elapsed) / 1000000); watch_prev_elapsed = watch_curr_elapsed; } void operator() (const Progress & value) { ProfileEvents::increment(ProfileEvents::MergedUncompressedBytes, value.bytes); ProfileEvents::increment(ProfileEvents::MergedRows, value.rows); updateWatch(); merge_entry->bytes_read_uncompressed += value.bytes; merge_entry->rows_read += value.rows; merge_entry->progress = average_elem_progress * merge_entry->rows_read; }; }; /** Progress callback for gathering step of Vertical merge. * Updates: approximate progress, amount of merged bytes (TODO: two column case should be fixed), elapsed time. */ class MergeProgressCallbackVerticalStep : public MergeProgressCallback { public: MergeProgressCallbackVerticalStep(MergeList::Entry & merge_entry_, size_t num_total_rows_exact, const ColumnSizeEstimator & column_sizes, const String & column_name, UInt64 & watch_prev_elapsed_) : MergeProgressCallback(merge_entry_, watch_prev_elapsed_), initial_progress(merge_entry->progress) { average_elem_progress = column_sizes.columnProgress(column_name, 1, num_total_rows_exact); updateWatch(); } Float64 initial_progress; size_t rows_read_internal{0}; // NOTE: not thread safe (to be copyable). It is OK in current single thread use case void operator() (const Progress & value) { merge_entry->bytes_read_uncompressed += value.bytes; ProfileEvents::increment(ProfileEvents::MergedUncompressedBytes, value.bytes); updateWatch(); rows_read_internal += value.rows; Float64 local_progress = average_elem_progress * rows_read_internal; merge_entry->progress = initial_progress + local_progress; }; }; /// parts should be sorted. MergeTreeData::MutableDataPartPtr MergeTreeDataMerger::mergePartsToTemporaryPart( const FuturePart & future_part, MergeList::Entry & merge_entry, size_t aio_threshold, time_t time_of_merge, DiskSpaceMonitor::Reservation * disk_reservation, bool deduplicate) { static const String TMP_PREFIX = "tmp_merge_"; if (isCancelled()) throw Exception("Cancelled merging parts", ErrorCodes::ABORTED); const MergeTreeData::DataPartsVector & parts = future_part.parts; LOG_DEBUG(log, "Merging " << parts.size() << " parts: from " << parts.front()->name << " to " << parts.back()->name << " into " << TMP_PREFIX + future_part.name); String new_part_tmp_path = data.getFullPath() + TMP_PREFIX + future_part.name + "/"; if (Poco::File(new_part_tmp_path).exists()) throw Exception("Directory " + new_part_tmp_path + " already exists", ErrorCodes::DIRECTORY_ALREADY_EXISTS); merge_entry->num_parts = parts.size(); for (const MergeTreeData::DataPartPtr & part : parts) { std::shared_lock part_lock(part->columns_lock); merge_entry->total_size_bytes_compressed += part->size_in_bytes; merge_entry->total_size_marks += part->size; } MergeTreeData::DataPart::ColumnToSize merged_column_to_size; for (const MergeTreeData::DataPartPtr & part : parts) part->accumulateColumnSizes(merged_column_to_size); Names all_column_names = data.getColumnNamesList(); NamesAndTypesList all_columns = data.getColumnsList(); const SortDescription sort_desc = data.getSortDescription(); NamesAndTypesList gathering_columns, merging_columns; Names gathering_column_names, merging_column_names; extractMergingAndGatheringColumns(all_columns, data.getPrimaryExpression(), data.merging_params, gathering_columns, gathering_column_names, merging_columns, merging_column_names); MergeTreeData::MutableDataPartPtr new_data_part = std::make_shared( data, future_part.name, future_part.part_info); new_data_part->partition.assign(future_part.getPartition()); new_data_part->relative_path = TMP_PREFIX + future_part.name; new_data_part->is_temp = true; size_t sum_input_rows_upper_bound = merge_entry->total_size_marks * data.index_granularity; MergeAlgorithm merge_alg = chooseMergeAlgorithm(data, parts, sum_input_rows_upper_bound, gathering_columns, deduplicate); LOG_DEBUG(log, "Selected MergeAlgorithm: " << ((merge_alg == MergeAlgorithm::Vertical) ? "Vertical" : "Horizontal")); String rows_sources_file_path; std::unique_ptr rows_sources_uncompressed_write_buf; std::unique_ptr rows_sources_write_buf; if (merge_alg == MergeAlgorithm::Vertical) { Poco::File(new_part_tmp_path).createDirectories(); rows_sources_file_path = new_part_tmp_path + "rows_sources"; rows_sources_uncompressed_write_buf = std::make_unique(rows_sources_file_path); rows_sources_write_buf = std::make_unique(*rows_sources_uncompressed_write_buf); } else { merging_columns = all_columns; merging_column_names = all_column_names; gathering_columns.clear(); gathering_column_names.clear(); } ColumnSizeEstimator column_sizes(merged_column_to_size, merging_column_names, gathering_column_names); /** Read from all parts, merge and write into a new one. * In passing, we calculate expression for sorting. */ BlockInputStreams src_streams; UInt64 watch_prev_elapsed = 0; for (const auto & part : parts) { auto input = std::make_unique( data, part, DEFAULT_MERGE_BLOCK_SIZE, 0, 0, merging_column_names, MarkRanges(1, MarkRange(0, part->size)), false, nullptr, "", true, aio_threshold, DBMS_DEFAULT_BUFFER_SIZE, false); input->setProgressCallback(MergeProgressCallback( merge_entry, sum_input_rows_upper_bound, column_sizes, watch_prev_elapsed, merge_alg)); if (data.merging_params.mode != MergeTreeData::MergingParams::Unsorted) src_streams.emplace_back(std::make_shared( std::make_shared(BlockInputStreamPtr(std::move(input)), data.getPrimaryExpression()))); else src_streams.emplace_back(std::move(input)); } /// The order of the streams is important: when the key is matched, the elements go in the order of the source stream number. /// In the merged part, the lines with the same key must be in the ascending order of the identifier of original part, /// that is going in insertion order. std::shared_ptr merged_stream; switch (data.merging_params.mode) { case MergeTreeData::MergingParams::Ordinary: merged_stream = std::make_unique( src_streams, sort_desc, DEFAULT_MERGE_BLOCK_SIZE, 0, rows_sources_write_buf.get(), true); break; case MergeTreeData::MergingParams::Collapsing: merged_stream = std::make_unique( src_streams, sort_desc, data.merging_params.sign_column, DEFAULT_MERGE_BLOCK_SIZE, rows_sources_write_buf.get()); break; case MergeTreeData::MergingParams::Summing: merged_stream = std::make_unique( src_streams, sort_desc, data.merging_params.columns_to_sum, DEFAULT_MERGE_BLOCK_SIZE); break; case MergeTreeData::MergingParams::Aggregating: merged_stream = std::make_unique( src_streams, sort_desc, DEFAULT_MERGE_BLOCK_SIZE); break; case MergeTreeData::MergingParams::Replacing: merged_stream = std::make_unique( src_streams, sort_desc, data.merging_params.version_column, DEFAULT_MERGE_BLOCK_SIZE, rows_sources_write_buf.get()); break; case MergeTreeData::MergingParams::Graphite: merged_stream = std::make_unique( src_streams, sort_desc, DEFAULT_MERGE_BLOCK_SIZE, data.merging_params.graphite_params, time_of_merge); break; case MergeTreeData::MergingParams::Unsorted: merged_stream = std::make_unique(src_streams); break; default: throw Exception("Unknown mode of operation for MergeTreeData: " + toString(data.merging_params.mode), ErrorCodes::LOGICAL_ERROR); } if (deduplicate && merged_stream->isGroupedOutput()) merged_stream = std::make_shared(merged_stream, Limits(), 0 /*limit_hint*/, Names()); auto compression_method = data.context.chooseCompressionMethod( merge_entry->total_size_bytes_compressed, static_cast (merge_entry->total_size_bytes_compressed) / data.getTotalActiveSizeInBytes()); MergedBlockOutputStream to{ data, new_part_tmp_path, merging_columns, compression_method, merged_column_to_size, aio_threshold}; merged_stream->readPrefix(); to.writePrefix(); size_t rows_written = 0; const size_t initial_reservation = disk_reservation ? disk_reservation->getSize() : 0; Block block; while (!isCancelled() && (block = merged_stream->read())) { rows_written += block.rows(); to.write(block); merge_entry->rows_written = merged_stream->getProfileInfo().rows; merge_entry->bytes_written_uncompressed = merged_stream->getProfileInfo().bytes; /// Reservation updates is not performed yet, during the merge it may lead to higher free space requirements if (disk_reservation) { /// The same progress from merge_entry could be used for both algorithms (it should be more accurate) /// But now we are using inaccurate row-based estimation in Horizontal case for backward compability Float64 progress = (merge_alg == MergeAlgorithm::Horizontal) ? std::min(1., 1. * rows_written / sum_input_rows_upper_bound) : std::min(1., merge_entry->progress); disk_reservation->update(static_cast((1. - progress) * initial_reservation)); } } merged_stream->readSuffix(); merged_stream.reset(); if (isCancelled()) throw Exception("Cancelled merging parts", ErrorCodes::ABORTED); MergeTreeData::DataPart::Checksums checksums_gathered_columns; /// Gather ordinary columns if (merge_alg == MergeAlgorithm::Vertical) { size_t sum_input_rows_exact = merge_entry->rows_read; merge_entry->columns_written = merging_column_names.size(); merge_entry->progress = column_sizes.keyColumnsProgress(sum_input_rows_exact, sum_input_rows_exact); BlockInputStreams column_part_streams(parts.size()); NameSet offset_columns_written; auto it_name_and_type = gathering_columns.cbegin(); rows_sources_write_buf->next(); rows_sources_uncompressed_write_buf->next(); CompressedReadBufferFromFile rows_sources_read_buf(rows_sources_file_path, 0, 0); for (size_t column_num = 0, gathering_column_names_size = gathering_column_names.size(); column_num < gathering_column_names_size; ++column_num, ++it_name_and_type) { const String & column_name = it_name_and_type->name; const DataTypePtr & column_type = it_name_and_type->type; const String offset_column_name = DataTypeNested::extractNestedTableName(column_name); Names column_name_{column_name}; Float64 progress_before = merge_entry->progress; bool offset_written = offset_columns_written.count(offset_column_name); for (size_t part_num = 0; part_num < parts.size(); ++part_num) { auto column_part_stream = std::make_shared( data, parts[part_num], DEFAULT_MERGE_BLOCK_SIZE, 0, 0, column_name_, MarkRanges{MarkRange(0, parts[part_num]->size)}, false, nullptr, "", true, aio_threshold, DBMS_DEFAULT_BUFFER_SIZE, false, Names{}, 0, true); column_part_stream->setProgressCallback(MergeProgressCallbackVerticalStep( merge_entry, sum_input_rows_exact, column_sizes, column_name, watch_prev_elapsed)); column_part_streams[part_num] = std::move(column_part_stream); } rows_sources_read_buf.seek(0, 0); ColumnGathererStream column_gathered_stream(column_name, column_part_streams, rows_sources_read_buf); MergedColumnOnlyOutputStream column_to(data, new_part_tmp_path, false, compression_method, offset_written); size_t column_elems_written = 0; column_to.writePrefix(); while ((block = column_gathered_stream.read())) { column_elems_written += block.rows(); column_to.write(block); } column_gathered_stream.readSuffix(); checksums_gathered_columns.add(column_to.writeSuffixAndGetChecksums()); if (rows_written != column_elems_written) { throw Exception("Written " + toString(column_elems_written) + " elements of column " + column_name + ", but " + toString(rows_written) + " rows of PK columns", ErrorCodes::LOGICAL_ERROR); } if (typeid_cast(column_type.get())) offset_columns_written.emplace(offset_column_name); merge_entry->columns_written = merging_column_names.size() + column_num; merge_entry->bytes_written_uncompressed += column_gathered_stream.getProfileInfo().bytes; merge_entry->progress = progress_before + column_sizes.columnProgress(column_name, sum_input_rows_exact, sum_input_rows_exact); if (isCancelled()) throw Exception("Cancelled merging parts", ErrorCodes::ABORTED); } Poco::File(rows_sources_file_path).remove(); } for (const auto & part : parts) new_data_part->minmax_idx.merge(part->minmax_idx); /// Print overall profiling info. NOTE: it may duplicates previous messages { double elapsed_seconds = merge_entry->watch.elapsedSeconds(); LOG_DEBUG(log, std::fixed << std::setprecision(2) << "Merge sorted " << merge_entry->rows_read << " rows" << ", containing " << all_column_names.size() << " columns" << " (" << merging_column_names.size() << " merged, " << gathering_column_names.size() << " gathered)" << " in " << elapsed_seconds << " sec., " << merge_entry->rows_read / elapsed_seconds << " rows/sec., " << merge_entry->bytes_read_uncompressed / 1000000.0 / elapsed_seconds << " MB/sec."); } if (merge_alg != MergeAlgorithm::Vertical) to.writeSuffixAndFinalizePart(new_data_part); else to.writeSuffixAndFinalizePart(new_data_part, &all_columns, &checksums_gathered_columns); /// For convenience, even CollapsingSortedBlockInputStream can not return zero rows. if (0 == to.marksCount()) throw Exception("Empty part after merge", ErrorCodes::LOGICAL_ERROR); return new_data_part; } MergeTreeDataMerger::MergeAlgorithm MergeTreeDataMerger::chooseMergeAlgorithm( const MergeTreeData & data, const MergeTreeData::DataPartsVector & parts, size_t sum_rows_upper_bound, const NamesAndTypesList & gathering_columns, bool deduplicate) const { if (deduplicate) return MergeAlgorithm::Horizontal; if (data.context.getMergeTreeSettings().enable_vertical_merge_algorithm == 0) return MergeAlgorithm::Horizontal; bool is_supported_storage = data.merging_params.mode == MergeTreeData::MergingParams::Ordinary || data.merging_params.mode == MergeTreeData::MergingParams::Collapsing || data.merging_params.mode == MergeTreeData::MergingParams::Replacing; bool enough_ordinary_cols = gathering_columns.size() >= data.context.getMergeTreeSettings().vertical_merge_algorithm_min_columns_to_activate; bool enough_total_rows = sum_rows_upper_bound >= data.context.getMergeTreeSettings().vertical_merge_algorithm_min_rows_to_activate; bool no_parts_overflow = parts.size() <= RowSourcePart::MAX_PARTS; auto merge_alg = (is_supported_storage && enough_total_rows && enough_ordinary_cols && no_parts_overflow) ? MergeAlgorithm::Vertical : MergeAlgorithm::Horizontal; return merge_alg; } MergeTreeData::DataPartPtr MergeTreeDataMerger::renameMergedTemporaryPart( MergeTreeData::MutableDataPartPtr & new_data_part, const MergeTreeData::DataPartsVector & parts, MergeTreeData::Transaction * out_transaction) { /// Rename new part, add to the set and remove original parts. auto replaced_parts = data.renameTempPartAndReplace(new_data_part, nullptr, out_transaction); /// Let's check that all original parts have been deleted and only them. if (replaced_parts.size() != parts.size()) { /** This is normal, although this happens rarely. * * The situation - was replaced 0 parts instead of N can be, for example, in the following case * - we had A part, but there was no B and C parts; * - A, B -> AB was in the queue, but it has not been done, because there is no B part; * - AB, C -> ABC was in the queue, but it has not been done, because there are no AB and C parts; * - we have completed the task of downloading a B part; * - we started to make A, B -> AB merge, since all parts appeared; * - we decided to download ABC part from another replica, since it was impossible to make merge AB, C -> ABC; * - ABC part appeared. When it was added, old A, B, C parts were deleted; * - AB merge finished. AB part was added. But this is an obsolete part. The log will contain the message `Obsolete part added`, * then we get here. * * When M > N parts could be replaced? * - new block was added in ReplicatedMergeTreeBlockOutputStream; * - it was added to working dataset in memory and renamed on filesystem; * - but ZooKeeper transaction that add its to reference dataset in ZK and unlocks AbandonableLock is failed; * - and it is failed due to connection loss, so we don't rollback working dataset in memory, * because we don't know if the part was added to ZK or not * (see ReplicatedMergeTreeBlockOutputStream) * - then method selectPartsToMerge selects a range and see, that AbandonableLock for this part is abandoned, * and so, it is possible to merge a range skipping this part. * (NOTE: Merging with part that is not in ZK is not possible, see checks in 'createLogEntryToMergeParts'.) * - and after merge, this part will be removed in addition to parts that was merged. */ LOG_WARNING(log, "Unexpected number of parts removed when adding " << new_data_part->name << ": " << replaced_parts.size() << " instead of " << parts.size()); } else { for (size_t i = 0; i < parts.size(); ++i) if (parts[i]->name != replaced_parts[i]->name) throw Exception("Unexpected part removed when adding " + new_data_part->name + ": " + replaced_parts[i]->name + " instead of " + parts[i]->name, ErrorCodes::LOGICAL_ERROR); } LOG_TRACE(log, "Merged " << parts.size() << " parts: from " << parts.front()->name << " to " << parts.back()->name); return new_data_part; } MergeTreeData::PerShardDataParts MergeTreeDataMerger::reshardPartition( const ReshardingJob & job, DiskSpaceMonitor::Reservation * disk_reservation) { size_t aio_threshold = data.context.getSettings().min_bytes_to_use_direct_io; /// Assemble all parts of the partition. MergeTreeData::DataPartsVector parts = selectAllPartsFromPartition(job.partition_id); /// Create a dummy object to get temporary folder name. MergeTreeDataMerger::FuturePart dummy_future_part(parts); MergeList::EntryPtr merge_entry_ptr = data.context.getMergeList().insert(job.database_name, job.table_name, dummy_future_part.name, parts); MergeList::Entry & merge_entry = *merge_entry_ptr; merge_entry->num_parts = parts.size(); LOG_DEBUG(log, "Resharding " << parts.size() << " parts from " << parts.front()->name << " to " << parts.back()->name << " which span the partition " << job.partition_id); /// Merge all parts of the partition. for (const MergeTreeData::DataPartPtr & part : parts) { std::shared_lock part_lock(part->columns_lock); merge_entry->total_size_bytes_compressed += part->size_in_bytes; merge_entry->total_size_marks += part->size; } MergeTreeData::DataPart::ColumnToSize merged_column_to_size; if (aio_threshold > 0) { for (const MergeTreeData::DataPartPtr & part : parts) part->accumulateColumnSizes(merged_column_to_size); } Names column_names = data.getColumnNamesList(); NamesAndTypesList column_names_and_types = data.getColumnsList(); BlockInputStreams src_streams; size_t sum_rows_approx = 0; const auto rows_total = merge_entry->total_size_marks * data.index_granularity; for (size_t i = 0; i < parts.size(); ++i) { MarkRanges ranges(1, MarkRange(0, parts[i]->size)); auto input = std::make_unique( data, parts[i], DEFAULT_MERGE_BLOCK_SIZE, 0, 0, column_names, ranges, false, nullptr, "", true, aio_threshold, DBMS_DEFAULT_BUFFER_SIZE, false); input->setProgressCallback([&merge_entry, rows_total] (const Progress & value) { const auto new_rows_read = merge_entry->rows_read += value.rows; merge_entry->progress = static_cast(new_rows_read) / rows_total; merge_entry->bytes_read_uncompressed += value.bytes; }); if (data.merging_params.mode != MergeTreeData::MergingParams::Unsorted) src_streams.emplace_back(std::make_shared( std::make_shared(BlockInputStreamPtr(std::move(input)), data.getPrimaryExpression()))); else src_streams.emplace_back(std::move(input)); sum_rows_approx += parts[i]->size * data.index_granularity; } /// Sharding of merged blocks. /// A very rough estimate for the compressed data size of each sharded partition. /// Actually it all depends on the properties of the expression for sharding. UInt64 per_shard_size_bytes_compressed = merge_entry->total_size_bytes_compressed / static_cast(job.paths.size()); auto compression_method = data.context.chooseCompressionMethod( per_shard_size_bytes_compressed, static_cast(per_shard_size_bytes_compressed) / data.getTotalActiveSizeInBytes()); /// For blocks numbering. SimpleIncrement increment(job.block_number); /// Create a new part for each shard. MergeTreeData::PerShardDataParts per_shard_data_parts; using MergedBlockOutputStreamPtr = std::unique_ptr; using PerShardOutput = std::unordered_map; /// Create a stream for each shard that writes the corresponding sharded blocks. PerShardOutput per_shard_output; per_shard_data_parts.reserve(job.paths.size()); per_shard_output.reserve(job.paths.size()); for (size_t shard_no = 0; shard_no < job.paths.size(); ++shard_no) { Int64 temp_index = increment.get(); MergeTreeData::MutableDataPartPtr data_part = std::make_shared( data, dummy_future_part.name, MergeTreePartInfo(job.partition_id, temp_index, temp_index, 0)); data_part->partition.assign(dummy_future_part.getPartition()); data_part->relative_path = "reshard/" + toString(shard_no) + "/tmp_" + dummy_future_part.name; data_part->is_temp = true; String new_part_tmp_path = data_part->getFullPath(); Poco::File(new_part_tmp_path).createDirectories(); MergedBlockOutputStreamPtr output_stream; output_stream = std::make_unique( data, new_part_tmp_path, column_names_and_types, compression_method, merged_column_to_size, aio_threshold); per_shard_data_parts.emplace(shard_no, std::move(data_part)); per_shard_output.emplace(shard_no, std::move(output_stream)); } /// The order of the streams is important: when the key is matched, the elements go in the order of the source stream number. /// In the merged part, rows with the same key must be in ascending order of the original part identifier, /// that is (approximately) increasing insertion time. std::unique_ptr merged_stream; switch (data.merging_params.mode) { case MergeTreeData::MergingParams::Ordinary: merged_stream = std::make_unique( src_streams, data.getSortDescription(), DEFAULT_MERGE_BLOCK_SIZE); break; case MergeTreeData::MergingParams::Collapsing: merged_stream = std::make_unique( src_streams, data.getSortDescription(), data.merging_params.sign_column, DEFAULT_MERGE_BLOCK_SIZE); break; case MergeTreeData::MergingParams::Summing: merged_stream = std::make_unique( src_streams, data.getSortDescription(), data.merging_params.columns_to_sum, DEFAULT_MERGE_BLOCK_SIZE); break; case MergeTreeData::MergingParams::Aggregating: merged_stream = std::make_unique( src_streams, data.getSortDescription(), DEFAULT_MERGE_BLOCK_SIZE); break; case MergeTreeData::MergingParams::Replacing: merged_stream = std::make_unique( src_streams, data.getSortDescription(), data.merging_params.version_column, DEFAULT_MERGE_BLOCK_SIZE); break; case MergeTreeData::MergingParams::Graphite: merged_stream = std::make_unique( src_streams, data.getSortDescription(), DEFAULT_MERGE_BLOCK_SIZE, data.merging_params.graphite_params, time(0)); break; case MergeTreeData::MergingParams::Unsorted: merged_stream = std::make_unique(src_streams); break; default: throw Exception("Unknown mode of operation for MergeTreeData: " + toString(data.merging_params.mode), ErrorCodes::LOGICAL_ERROR); } merged_stream->readPrefix(); for (auto & entry : per_shard_output) { MergedBlockOutputStreamPtr & output_stream = entry.second; output_stream->writePrefix(); } size_t rows_written = 0; const size_t initial_reservation = disk_reservation ? disk_reservation->getSize() : 0; MergeTreeSharder sharder(data, job); while (Block block = merged_stream->read()) { abortReshardPartitionIfRequested(); BlocksWithShardNum blocks = sharder.shardBlock(block); for (BlockWithShardNum & block_with_shard_no : blocks) { abortReshardPartitionIfRequested(); size_t shard_no = block_with_shard_no.shard_no; MergeTreeData::MutableDataPartPtr & data_part = per_shard_data_parts.at(shard_no); MergedBlockOutputStreamPtr & output_stream = per_shard_output.at(shard_no); const Block & block = block_with_shard_no.block; rows_written += block.rows(); output_stream->write(block); data_part->minmax_idx.update(block, data.minmax_idx_columns); merge_entry->rows_written = merged_stream->getProfileInfo().rows; merge_entry->bytes_written_uncompressed = merged_stream->getProfileInfo().bytes; if (disk_reservation) disk_reservation->update(static_cast((1 - std::min(1., 1. * rows_written / sum_rows_approx)) * initial_reservation)); } } merged_stream->readSuffix(); /// Complete initialization of new partitions parts. for (size_t shard_no = 0; shard_no < job.paths.size(); ++shard_no) { abortReshardPartitionIfRequested(); MergedBlockOutputStreamPtr & output_stream = per_shard_output.at(shard_no); if (0 == output_stream->marksCount()) { /// There was no data in this shard. Ignore. LOG_WARNING(log, "No data in partition for shard " + job.paths[shard_no].first); per_shard_data_parts.erase(shard_no); continue; } MergeTreeData::MutableDataPartPtr & data_part = per_shard_data_parts.at(shard_no); output_stream->writeSuffixAndFinalizePart(data_part); data_part->shard_no = shard_no; } /// Turn parts of new partitions into permanent parts. for (auto & entry : per_shard_data_parts) { size_t shard_no = entry.first; MergeTreeData::MutableDataPartPtr & part_from_shard = entry.second; std::string new_name; if (data.format_version < MERGE_TREE_DATA_MIN_FORMAT_VERSION_WITH_CUSTOM_PARTITIONING) new_name = part_from_shard->info.getPartNameV0(part_from_shard->getMinDate(), part_from_shard->getMaxDate()); else new_name = part_from_shard->info.getPartName(); std::string new_relative_path = "reshard/" + toString(shard_no) + "/" + new_name; part_from_shard->renameTo(new_relative_path); part_from_shard->name = new_name; part_from_shard->is_temp = false; } LOG_TRACE(log, "Resharded the partition " << job.partition_id); return per_shard_data_parts; } size_t MergeTreeDataMerger::estimateDiskSpaceForMerge(const MergeTreeData::DataPartsVector & parts) { size_t res = 0; for (const MergeTreeData::DataPartPtr & part : parts) res += part->size_in_bytes; return static_cast(res * DISK_USAGE_COEFFICIENT_TO_RESERVE); } void MergeTreeDataMerger::abortReshardPartitionIfRequested() { if (isCancelled()) throw Exception("Cancelled partition resharding", ErrorCodes::ABORTED); if (cancellation_hook) cancellation_hook(); } }