mirror of
https://github.com/ClickHouse/ClickHouse.git
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a7bbf83c91
This reverts commit cdb2c8a770
.
144 lines
4.2 KiB
C++
144 lines
4.2 KiB
C++
#include <DataStreams/AggregatingSortedBlockInputStream.h>
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#include <Common/typeid_cast.h>
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#include <Common/StringUtils/StringUtils.h>
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namespace DB
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{
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namespace ErrorCodes
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{
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extern const int LOGICAL_ERROR;
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}
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AggregatingSortedBlockInputStream::AggregatingSortedBlockInputStream(
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const BlockInputStreams & inputs_, const SortDescription & description_, size_t max_block_size_)
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: MergingSortedBlockInputStream(inputs_, description_, max_block_size_)
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{
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/// Fill in the column numbers that need to be aggregated.
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for (size_t i = 0; i < num_columns; ++i)
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{
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ColumnWithTypeAndName & column = header.safeGetByPosition(i);
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/// We leave only states of aggregate functions.
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if (!startsWith(column.type->getName(), "AggregateFunction"))
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{
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column_numbers_not_to_aggregate.push_back(i);
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continue;
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}
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/// Included into PK?
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SortDescription::const_iterator it = description.begin();
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for (; it != description.end(); ++it)
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if (it->column_name == column.name || (it->column_name.empty() && it->column_number == i))
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break;
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if (it != description.end())
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{
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column_numbers_not_to_aggregate.push_back(i);
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continue;
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}
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column_numbers_to_aggregate.push_back(i);
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}
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}
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Block AggregatingSortedBlockInputStream::readImpl()
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{
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if (finished)
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return Block();
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MutableColumns merged_columns;
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init(merged_columns);
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if (has_collation)
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throw Exception("Logical error: " + getName() + " does not support collations", ErrorCodes::LOGICAL_ERROR);
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if (merged_columns.empty())
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return Block();
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columns_to_aggregate.resize(column_numbers_to_aggregate.size());
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for (size_t i = 0, size = columns_to_aggregate.size(); i < size; ++i)
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columns_to_aggregate[i] = typeid_cast<ColumnAggregateFunction *>(merged_columns[column_numbers_to_aggregate[i]].get());
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merge(merged_columns, queue_without_collation);
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return header.cloneWithColumns(std::move(merged_columns));
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}
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void AggregatingSortedBlockInputStream::merge(MutableColumns & merged_columns, std::priority_queue<SortCursor> & queue)
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{
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size_t merged_rows = 0;
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/// We take the rows in the correct order and put them in `merged_block`, while the rows are no more than `max_block_size`
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while (!queue.empty())
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{
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SortCursor current = queue.top();
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setPrimaryKeyRef(next_key, current);
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bool key_differs;
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if (current_key.empty()) /// The first key encountered.
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{
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setPrimaryKeyRef(current_key, current);
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key_differs = true;
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}
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else
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key_differs = next_key != current_key;
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/// if there are enough rows accumulated and the last one is calculated completely
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if (key_differs && merged_rows >= max_block_size)
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return;
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queue.pop();
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if (key_differs)
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{
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current_key.swap(next_key);
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/// We will write the data for the group. We copy the values of ordinary columns.
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for (size_t i = 0, size = column_numbers_not_to_aggregate.size(); i < size; ++i)
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{
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size_t j = column_numbers_not_to_aggregate[i];
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merged_columns[j]->insertFrom(*current->all_columns[j], current->pos);
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}
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/// Add the empty aggregation state to the aggregate columns. The state will be updated in the `addRow` function.
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for (auto & column_to_aggregate : columns_to_aggregate)
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column_to_aggregate->insertDefault();
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++merged_rows;
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}
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addRow(current);
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if (!current->isLast())
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{
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current->next();
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queue.push(current);
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}
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else
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{
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/// We fetch the next block from the appropriate source, if there is one.
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fetchNextBlock(current, queue);
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}
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}
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finished = true;
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}
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void AggregatingSortedBlockInputStream::addRow(SortCursor & cursor)
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{
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for (size_t i = 0, size = column_numbers_to_aggregate.size(); i < size; ++i)
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{
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size_t j = column_numbers_to_aggregate[i];
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columns_to_aggregate[i]->insertMergeFrom(*cursor->all_columns[j], cursor->pos);
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}
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}
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}
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