#include #include #include #include #include #include #include #include namespace DB { void Aggregator::initialize(Block & block) { Poco::ScopedLock lock(mutex); if (initialized) return; initialized = true; /// Преобразуем имена столбцов в номера, если номера не заданы if (keys.empty() && !key_names.empty()) for (Names::const_iterator it = key_names.begin(); it != key_names.end(); ++it) keys.push_back(block.getPositionByName(*it)); for (AggregateDescriptions::iterator it = aggregates.begin(); it != aggregates.end(); ++it) if (it->arguments.empty() && !it->argument_names.empty()) for (Names::const_iterator jt = it->argument_names.begin(); jt != it->argument_names.end(); ++jt) it->arguments.push_back(block.getPositionByName(*jt)); /// Создадим пример блока, описывающего результат if (!sample) { for (size_t i = 0, size = keys.size(); i < size; ++i) { sample.insert(block.getByPosition(keys[i]).cloneEmpty()); if (sample.getByPosition(i).column->isConst()) sample.getByPosition(i).column = dynamic_cast(*sample.getByPosition(i).column).convertToFullColumn(); } for (size_t i = 0, size = aggregates.size(); i < size; ++i) { ColumnWithNameAndType col; col.name = aggregates[i].column_name; size_t arguments_size = aggregates[i].arguments.size(); DataTypes argument_types(arguments_size); for (size_t j = 0; j < arguments_size; ++j) argument_types[j] = block.getByPosition(aggregates[i].arguments[j]).type; col.type = new DataTypeAggregateFunction(aggregates[i].function, argument_types); col.column = new ColumnAggregateFunction; sample.insert(col); } /// Вставим в блок результата все столбцы-константы из исходного блока, так как они могут ещё пригодиться. size_t columns = block.columns(); for (size_t i = 0; i < columns; ++i) if (block.getByPosition(i).column->isConst()) sample.insert(block.getByPosition(i).cloneEmpty()); } } AggregatedDataVariants::Type Aggregator::chooseAggregationMethod(Columns & key_columns, bool & keys_fit_128_bits, Sizes & key_sizes) { /* bool has_strings = false; for (size_t j = 0; j < keys_size; ++j) if (dynamic_cast(&*key_columns[j]) || dynamic_cast(&*key_columns[j])) has_strings = true;*/ keys_fit_128_bits = true; size_t keys_bytes = 0; key_sizes.resize(keys_size); for (size_t j = 0; j < keys_size; ++j) { if (!key_columns[j]->isNumeric()) { keys_fit_128_bits = false; break; } key_sizes[j] = key_columns[j]->sizeOfField(); keys_bytes += key_sizes[j]; } if (keys_bytes > 16) keys_fit_128_bits = false; /// Если ключей нет if (keys_size == 0) return AggregatedDataVariants::WITHOUT_KEY; /// Если есть один ключ, который помещается в 64 бита, и это не число с плавающей запятой if (keys_size == 1 && key_columns[0]->isNumeric() && !dynamic_cast(&*key_columns[0]) && !dynamic_cast(&*key_columns[0])) return AggregatedDataVariants::KEY_64; /// Если есть один строковый ключ, то используем хэш-таблицу с ним if (keys_size == 1 && (dynamic_cast(&*key_columns[0]) || dynamic_cast(&*key_columns[0]))) return AggregatedDataVariants::KEY_STRING; /// Если много ключей - будем агрегировать по хэшу от них return AggregatedDataVariants::HASHED; } /** Результат хранится в оперативке и должен полностью помещаться в оперативку. */ void Aggregator::execute(BlockInputStreamPtr stream, AggregatedDataVariants & result) { size_t aggregates_size = aggregates.size(); Row key(keys_size); Columns key_columns(keys_size); typedef std::vector AggregateColumns; AggregateColumns aggregate_columns(aggregates_size); typedef AutoArray Rows; Rows aggregate_arguments(aggregates_size); /** Используется, если есть ограничение на максимальное количество строк при агрегации, * и если group_by_overflow_mode == ANY. * В этом случае, новые ключи не добавляются в набор, а производится агрегация только по * ключам, которые уже успели попасть в набор. */ bool no_more_keys = false; /// Читаем все данные while (Block block = stream->read()) { initialize(block); for (size_t i = 0; i < aggregates_size; ++i) { aggregate_arguments[i].resize(aggregates[i].arguments.size()); aggregate_columns[i].resize(aggregates[i].arguments.size()); } /// Запоминаем столбцы, с которыми будем работать for (size_t i = 0; i < keys_size; ++i) key_columns[i] = block.getByPosition(keys[i]).column; for (size_t i = 0; i < aggregates_size; ++i) for (size_t j = 0; j < aggregate_columns[i].size(); ++j) aggregate_columns[i][j] = block.getByPosition(aggregates[i].arguments[j]).column; size_t rows = block.rows(); /// Каким способом выполнять агрегацию? bool keys_fit_128_bits = false; Sizes key_sizes; result.type = chooseAggregationMethod(key_columns, keys_fit_128_bits, key_sizes); if (result.type == AggregatedDataVariants::WITHOUT_KEY) { AggregatedDataWithoutKey & res = result.without_key; if (res.empty()) { res.resize(aggregates_size); for (size_t i = 0; i < aggregates_size; ++i) res[i] = aggregates[i].function->cloneEmpty(); } /// Оптимизация в случае единственной агрегатной функции count. AggregateFunctionCount * agg_count = dynamic_cast(res[0]); if (aggregates_size == 1 && agg_count) agg_count->addDelta(rows); else { for (size_t i = 0; i < rows; ++i) { /// Добавляем значения for (size_t j = 0; j < aggregates_size; ++j) { for (size_t k = 0, size = aggregate_arguments[j].size(); k < size; ++k) aggregate_columns[j][k]->get(i, aggregate_arguments[j][k]); res[j]->add(aggregate_arguments[j]); } } } } else if (result.type == AggregatedDataVariants::KEY_64) { AggregatedDataWithUInt64Key & res = result.key64; const FieldVisitorToUInt64 visitor; IColumn & column = *key_columns[0]; /// Для всех строчек for (size_t i = 0; i < rows; ++i) { /// Строим ключ Field field = column[i]; UInt64 key = apply_visitor(visitor, field); AggregatedDataWithUInt64Key::iterator it; bool inserted; if (!no_more_keys) res.emplace(key, it, inserted); else { inserted = false; it = res.find(key); if (res.end() == it) continue; } if (inserted) { new(&it->second) AggregateFunctionsPlainPtrs(aggregates_size); for (size_t j = 0; j < aggregates_size; ++j) it->second[j] = aggregates[j].function->cloneEmpty(); } /// Добавляем значения for (size_t j = 0; j < aggregates_size; ++j) { for (size_t k = 0, size = aggregate_arguments[j].size(); k < size; ++k) aggregate_columns[j][k]->get(i, aggregate_arguments[j][k]); it->second[j]->add(aggregate_arguments[j]); } } } else if (result.type == AggregatedDataVariants::KEY_STRING) { AggregatedDataWithStringKey & res = result.key_string; IColumn & column = *key_columns[0]; if (const ColumnString * column_string = dynamic_cast(&column)) { const ColumnString::Offsets_t & offsets = column_string->getOffsets(); const ColumnUInt8::Container_t & data = dynamic_cast(column_string->getData()).getData(); /// Для всех строчек for (size_t i = 0; i < rows; ++i) { /// Строим ключ StringRef ref(&data[i == 0 ? 0 : offsets[i - 1]], (i == 0 ? offsets[i] : (offsets[i] - offsets[i - 1])) - 1); AggregatedDataWithStringKey::iterator it; bool inserted; if (!no_more_keys) res.emplace(ref, it, inserted); else { inserted = false; it = res.find(ref); if (res.end() == it) continue; } if (inserted) { it->first.data = result.string_pool.insert(ref.data, ref.size); new(&it->second) AggregateFunctionsPlainPtrs(aggregates_size); for (size_t j = 0; j < aggregates_size; ++j) it->second[j] = aggregates[j].function->cloneEmpty(); } /// Добавляем значения for (size_t j = 0; j < aggregates_size; ++j) { for (size_t k = 0, size = aggregate_arguments[j].size(); k < size; ++k) aggregate_columns[j][k]->get(i, aggregate_arguments[j][k]); it->second[j]->add(aggregate_arguments[j]); } } } else if (const ColumnFixedString * column_string = dynamic_cast(&column)) { size_t n = column_string->getN(); const ColumnUInt8::Container_t & data = dynamic_cast(column_string->getData()).getData(); /// Для всех строчек for (size_t i = 0; i < rows; ++i) { /// Строим ключ StringRef ref(&data[i * n], n); AggregatedDataWithStringKey::iterator it; bool inserted; if (!no_more_keys) res.emplace(ref, it, inserted); else { inserted = false; it = res.find(ref); if (res.end() == it) continue; } if (inserted) { it->first.data = result.string_pool.insert(ref.data, ref.size); new(&it->second) AggregateFunctionsPlainPtrs(aggregates_size); for (size_t j = 0; j < aggregates_size; ++j) it->second[j] = aggregates[j].function->cloneEmpty(); } /// Добавляем значения for (size_t j = 0; j < aggregates_size; ++j) { for (size_t k = 0, size = aggregate_arguments[j].size(); k < size; ++k) aggregate_columns[j][k]->get(i, aggregate_arguments[j][k]); it->second[j]->add(aggregate_arguments[j]); } } } else throw Exception("Illegal type of column when aggregating by string key: " + column.getName(), ErrorCodes::ILLEGAL_COLUMN); } else if (result.type == AggregatedDataVariants::HASHED) { AggregatedDataHashed & res = result.hashed; /// Для всех строчек for (size_t i = 0; i < rows; ++i) { AggregatedDataHashed::iterator it; bool inserted; UInt128 key128 = pack128(i, keys_fit_128_bits, keys_size, key, key_columns, key_sizes); if (!no_more_keys) res.emplace(key128, it, inserted); else { inserted = false; it = res.find(key128); if (res.end() == it) continue; } if (inserted) { new(&it->second) AggregatedDataHashed::mapped_type(key, AggregateFunctionsPlainPtrs(aggregates_size)); key.resize(keys_size); for (size_t j = 0; j < aggregates_size; ++j) it->second.second[j] = aggregates[j].function->cloneEmpty(); } /// Добавляем значения for (size_t j = 0; j < aggregates_size; ++j) { for (size_t k = 0, size = aggregate_arguments[j].size(); k < size; ++k) aggregate_columns[j][k]->get(i, aggregate_arguments[j][k]); it->second.second[j]->add(aggregate_arguments[j]); } } } else if (result.type == AggregatedDataVariants::GENERIC) { /// Общий способ AggregatedData & res = result.generic; /// Для всех строчек for (size_t i = 0; i < rows; ++i) { /// Строим ключ for (size_t j = 0; j < keys_size; ++j) key_columns[j]->get(i, key[j]); AggregatedData::iterator it = res.find(key); if (it == res.end()) { if (no_more_keys) continue; it = res.insert(std::make_pair(key, AggregateFunctionsPlainPtrs(aggregates_size))).first; key.resize(keys_size); for (size_t j = 0; j < aggregates_size; ++j) it->second[j] = aggregates[j].function->cloneEmpty(); } /// Добавляем значения for (size_t j = 0; j < aggregates_size; ++j) { for (size_t k = 0, size = aggregate_arguments[j].size(); k < size; ++k) aggregate_columns[j][k]->get(i, aggregate_arguments[j][k]); it->second[j]->add(aggregate_arguments[j]); } } } else throw Exception("Unknown aggregated data variant.", ErrorCodes::UNKNOWN_AGGREGATED_DATA_VARIANT); /// Проверка ограничений. if (!no_more_keys && max_rows_to_group_by && result.size() > max_rows_to_group_by) { if (group_by_overflow_mode == Limits::THROW) throw Exception("Limit for rows to GROUP BY exceeded: has " + Poco::NumberFormatter::format(result.size()) + " rows, maximum: " + Poco::NumberFormatter::format(max_rows_to_group_by), ErrorCodes::TOO_MUCH_ROWS); else if (group_by_overflow_mode == Limits::BREAK) break; else if (group_by_overflow_mode == Limits::ANY) no_more_keys = true; else throw Exception("Logical error: unkown overflow mode", ErrorCodes::LOGICAL_ERROR); } } } Block Aggregator::convertToBlock(AggregatedDataVariants & data_variants) { Block res = getSampleBlock(); size_t rows = 0; LOG_TRACE(log, "Converting aggregated data to block"); /// В какой структуре данных агрегированы данные? if (data_variants.empty()) return res; if (data_variants.type == AggregatedDataVariants::WITHOUT_KEY) { AggregatedDataWithoutKey & data = data_variants.without_key; rows = 1; size_t i = 0; for (AggregateFunctionsPlainPtrs::const_iterator jt = data.begin(); jt != data.end(); ++jt, ++i) res.getByPosition(i).column->insert(AggregateFunctionPtr(*jt)); } else if (data_variants.type == AggregatedDataVariants::KEY_64) { AggregatedDataWithUInt64Key & data = data_variants.key64; rows = data.size(); IColumn & first_column = *res.getByPosition(0).column; bool is_signed = dynamic_cast(&first_column) || dynamic_cast(&first_column) || dynamic_cast(&first_column) || dynamic_cast(&first_column); for (AggregatedDataWithUInt64Key::const_iterator it = data.begin(); it != data.end(); ++it) { if (is_signed) first_column.insert(static_cast(it->first)); else first_column.insert(it->first); size_t i = 1; for (AggregateFunctionsPlainPtrs::const_iterator jt = it->second.begin(); jt != it->second.end(); ++jt, ++i) res.getByPosition(i).column->insert(AggregateFunctionPtr(*jt)); } } else if (data_variants.type == AggregatedDataVariants::KEY_STRING) { AggregatedDataWithStringKey & data = data_variants.key_string; rows = data.size(); IColumn & first_column = *res.getByPosition(0).column; for (AggregatedDataWithStringKey::const_iterator it = data.begin(); it != data.end(); ++it) { first_column.insert(String(it->first.data, it->first.size)); size_t i = 1; for (AggregateFunctionsPlainPtrs::const_iterator jt = it->second.begin(); jt != it->second.end(); ++jt, ++i) res.getByPosition(i).column->insert(AggregateFunctionPtr(*jt)); } } else if (data_variants.type == AggregatedDataVariants::HASHED) { AggregatedDataHashed & data = data_variants.hashed; rows = data.size(); for (AggregatedDataHashed::const_iterator it = data.begin(); it != data.end(); ++it) { size_t i = 0; for (Row::const_iterator jt = it->second.first.begin(); jt != it->second.first.end(); ++jt, ++i) res.getByPosition(i).column->insert(*jt); for (AggregateFunctionsPlainPtrs::const_iterator jt = it->second.second.begin(); jt != it->second.second.end(); ++jt, ++i) res.getByPosition(i).column->insert(AggregateFunctionPtr(*jt)); } } else if (data_variants.type == AggregatedDataVariants::GENERIC) { AggregatedData & data = data_variants.generic; rows = data.size(); for (AggregatedData::const_iterator it = data.begin(); it != data.end(); ++it) { size_t i = 0; for (Row::const_iterator jt = it->first.begin(); jt != it->first.end(); ++jt, ++i) res.getByPosition(i).column->insert(*jt); for (AggregateFunctionsPlainPtrs::const_iterator jt = it->second.begin(); jt != it->second.end(); ++jt, ++i) res.getByPosition(i).column->insert(AggregateFunctionPtr(*jt)); } } else throw Exception("Unknown aggregated data variant.", ErrorCodes::UNKNOWN_AGGREGATED_DATA_VARIANT); /// Изменяем размер столбцов-констант в блоке. size_t columns = res.columns(); for (size_t i = 0; i < columns; ++i) if (res.getByPosition(i).column->isConst()) res.getByPosition(i).column->cut(0, rows); LOG_TRACE(log, "Converted aggregated data to block"); return res; } AggregatedDataVariantsPtr Aggregator::merge(ManyAggregatedDataVariants & data_variants) { if (data_variants.empty()) throw Exception("Empty data passed to Aggregator::merge().", ErrorCodes::EMPTY_DATA_PASSED); LOG_TRACE(log, "Merging aggregated data"); AggregatedDataVariantsPtr res = data_variants[0]; /// Все результаты агрегации соединяем с первым. for (size_t i = 1, size = data_variants.size(); i < size; ++i) { AggregatedDataVariants & current = *data_variants[i]; if (current.empty()) continue; if (res->empty()) { res = data_variants[i]; continue; } if (res->type != current.type) throw Exception("Cannot merge different aggregated data variants.", ErrorCodes::CANNOT_MERGE_DIFFERENT_AGGREGATED_DATA_VARIANTS); /// В какой структуре данных агрегированы данные? if (res->type == AggregatedDataVariants::WITHOUT_KEY) { AggregatedDataWithoutKey & res_data = res->without_key; AggregatedDataWithoutKey & current_data = current.without_key; size_t i = 0; for (AggregateFunctionsPlainPtrs::const_iterator jt = current_data.begin(); jt != current_data.end(); ++jt, ++i) { res_data[i]->merge(**jt); delete *jt; } } else if (res->type == AggregatedDataVariants::KEY_64) { AggregatedDataWithUInt64Key & res_data = res->key64; AggregatedDataWithUInt64Key & current_data = current.key64; for (AggregatedDataWithUInt64Key::const_iterator it = current_data.begin(); it != current_data.end(); ++it) { AggregatedDataWithUInt64Key::iterator res_it; bool inserted; res_data.emplace(it->first, res_it, inserted); if (!inserted) { size_t i = 0; for (AggregateFunctionsPlainPtrs::const_iterator jt = it->second.begin(); jt != it->second.end(); ++jt, ++i) { res_it->second[i]->merge(**jt); delete *jt; } } else new(&res_it->second) AggregateFunctionsPlainPtrs(it->second); } } else if (res->type == AggregatedDataVariants::KEY_STRING) { AggregatedDataWithStringKey & res_data = res->key_string; AggregatedDataWithStringKey & current_data = current.key_string; for (AggregatedDataWithStringKey::const_iterator it = current_data.begin(); it != current_data.end(); ++it) { AggregatedDataWithStringKey::iterator res_it; bool inserted; res_data.emplace(it->first, res_it, inserted); if (!inserted) { size_t i = 0; for (AggregateFunctionsPlainPtrs::const_iterator jt = it->second.begin(); jt != it->second.end(); ++jt, ++i) { res_it->second[i]->merge(**jt); delete *jt; } } else new(&res_it->second) AggregateFunctionsPlainPtrs(it->second); } } else if (res->type == AggregatedDataVariants::HASHED) { AggregatedDataHashed & res_data = res->hashed; AggregatedDataHashed & current_data = current.hashed; for (AggregatedDataHashed::const_iterator it = current_data.begin(); it != current_data.end(); ++it) { AggregatedDataHashed::iterator res_it; bool inserted; res_data.emplace(it->first, res_it, inserted); if (!inserted) { size_t i = 0; for (AggregateFunctionsPlainPtrs::const_iterator jt = it->second.second.begin(); jt != it->second.second.end(); ++jt, ++i) { res_it->second.second[i]->merge(**jt); delete *jt; } } else new(&res_it->second) AggregatedDataHashed::mapped_type(it->second); } } else if (res->type == AggregatedDataVariants::GENERIC) { AggregatedData & res_data = res->generic; AggregatedData & current_data = current.generic; for (AggregatedData::const_iterator it = current_data.begin(); it != current_data.end(); ++it) { AggregateFunctionsPlainPtrs & res_row = res_data[it->first]; if (!res_row.empty()) { size_t i = 0; for (AggregateFunctionsPlainPtrs::const_iterator jt = it->second.begin(); jt != it->second.end(); ++jt, ++i) { res_row[i]->merge(**jt); delete *jt; } } else res_row = it->second; } } else throw Exception("Unknown aggregated data variant.", ErrorCodes::UNKNOWN_AGGREGATED_DATA_VARIANT); } LOG_TRACE(log, "Merged aggregated data"); return res; } void Aggregator::merge(BlockInputStreamPtr stream, AggregatedDataVariants & result) { size_t aggregates_size = aggregates.size(); Row key(keys_size); Columns key_columns(keys_size); typedef ColumnAggregateFunction::Container_t * AggregateColumn; typedef std::vector AggregateColumns; AggregateColumns aggregate_columns(aggregates_size); /// Читаем все данные while (Block block = stream->read()) { LOG_TRACE(log, "Merging aggregated block"); if (!sample) for (size_t i = 0; i < keys_size + aggregates_size; ++i) sample.insert(block.getByPosition(i).cloneEmpty()); /// Запоминаем столбцы, с которыми будем работать for (size_t i = 0; i < keys_size; ++i) key_columns[i] = block.getByPosition(i).column; for (size_t i = 0; i < aggregates_size; ++i) aggregate_columns[i] = &dynamic_cast(*block.getByPosition(keys_size + i).column).getData(); size_t rows = block.rows(); /// Каким способом выполнять агрегацию? bool keys_fit_128_bits = false; Sizes key_sizes; result.type = chooseAggregationMethod(key_columns, keys_fit_128_bits, key_sizes); if (result.type == AggregatedDataVariants::WITHOUT_KEY) { AggregatedDataWithoutKey & res = result.without_key; if (res.empty()) { res.resize(aggregates_size); for (size_t i = 0; i < aggregates_size; ++i) res[i] = aggregates[i].function->cloneEmpty(); } /// Добавляем значения for (size_t i = 0; i < aggregates_size; ++i) res[i]->merge(*(*aggregate_columns[i])[0]); } else if (result.type == AggregatedDataVariants::KEY_64) { AggregatedDataWithUInt64Key & res = result.key64; const FieldVisitorToUInt64 visitor; IColumn & column = *key_columns[0]; /// Для всех строчек for (size_t i = 0; i < rows; ++i) { /// Строим ключ Field field = column[i]; UInt64 key = apply_visitor(visitor, field); AggregatedDataWithUInt64Key::iterator it; bool inserted; res.emplace(key, it, inserted); if (inserted) { new(&it->second) AggregateFunctionsPlainPtrs(aggregates_size); for (size_t j = 0; j < aggregates_size; ++j) it->second[j] = aggregates[j].function->cloneEmpty(); } /// Добавляем значения for (size_t j = 0; j < aggregates_size; ++j) it->second[j]->merge(*(*aggregate_columns[j])[i]); } } else if (result.type == AggregatedDataVariants::KEY_STRING) { AggregatedDataWithStringKey & res = result.key_string; IColumn & column = *key_columns[0]; if (const ColumnString * column_string = dynamic_cast(&column)) { const ColumnString::Offsets_t & offsets = column_string->getOffsets(); const ColumnUInt8::Container_t & data = dynamic_cast(column_string->getData()).getData(); /// Для всех строчек for (size_t i = 0; i < rows; ++i) { /// Строим ключ StringRef ref(&data[i == 0 ? 0 : offsets[i - 1]], (i == 0 ? offsets[i] : (offsets[i] - offsets[i - 1])) - 1); AggregatedDataWithStringKey::iterator it; bool inserted; res.emplace(ref, it, inserted); if (inserted) { it->first.data = result.string_pool.insert(ref.data, ref.size); new(&it->second) AggregateFunctionsPlainPtrs(aggregates_size); for (size_t j = 0; j < aggregates_size; ++j) it->second[j] = aggregates[j].function->cloneEmpty(); } /// Добавляем значения for (size_t j = 0; j < aggregates_size; ++j) it->second[j]->merge(*(*aggregate_columns[j])[i]); } } else if (const ColumnFixedString * column_string = dynamic_cast(&column)) { size_t n = column_string->getN(); const ColumnUInt8::Container_t & data = dynamic_cast(column_string->getData()).getData(); /// Для всех строчек for (size_t i = 0; i < rows; ++i) { /// Строим ключ StringRef ref(&data[i * n], n); AggregatedDataWithStringKey::iterator it; bool inserted; res.emplace(ref, it, inserted); if (inserted) { it->first.data = result.string_pool.insert(ref.data, ref.size); new(&it->second) AggregateFunctionsPlainPtrs(aggregates_size); for (size_t j = 0; j < aggregates_size; ++j) it->second[j] = aggregates[j].function->cloneEmpty(); } /// Добавляем значения for (size_t j = 0; j < aggregates_size; ++j) it->second[j]->merge(*(*aggregate_columns[j])[i]); } } else throw Exception("Illegal type of column when aggregating by string key: " + column.getName(), ErrorCodes::ILLEGAL_COLUMN); } else if (result.type == AggregatedDataVariants::HASHED) { AggregatedDataHashed & res = result.hashed; /// Для всех строчек for (size_t i = 0; i < rows; ++i) { AggregatedDataHashed::iterator it; bool inserted; res.emplace(pack128(i, keys_fit_128_bits, keys_size, key, key_columns, key_sizes), it, inserted); if (inserted) { new(&it->second) AggregatedDataHashed::mapped_type(key, AggregateFunctionsPlainPtrs(aggregates_size)); for (size_t j = 0; j < aggregates_size; ++j) it->second.second[j] = aggregates[j].function->cloneEmpty(); } /// Добавляем значения for (size_t j = 0; j < aggregates_size; ++j) it->second.second[j]->merge(*(*aggregate_columns[j])[i]); } } else if (result.type == AggregatedDataVariants::GENERIC) { /// Общий способ AggregatedData & res = result.generic; /// Для всех строчек for (size_t i = 0; i < rows; ++i) { /// Строим ключ for (size_t j = 0; j < keys_size; ++j) key_columns[j]->get(i, key[j]); AggregatedData::iterator it = res.find(key); if (it == res.end()) { it = res.insert(std::make_pair(key, AggregateFunctionsPlainPtrs(aggregates_size))).first; for (size_t j = 0; j < aggregates_size; ++j) it->second[j] = aggregates[j].function->cloneEmpty(); } /// Добавляем значения for (size_t j = 0; j < aggregates_size; ++j) it->second[j]->merge(*(*aggregate_columns[j])[i]); } } else throw Exception("Unknown aggregated data variant.", ErrorCodes::UNKNOWN_AGGREGATED_DATA_VARIANT); LOG_TRACE(log, "Merged aggregated block"); } } }