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97f2a2213e
* Move some code outside dbms/src folder * Fix paths
250 lines
8.0 KiB
C++
250 lines
8.0 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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#include <Common/Arena.h>
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#include <DataTypes/DataTypeAggregateFunction.h>
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#include <DataTypes/DataTypeCustomSimpleAggregateFunction.h>
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#include <DataTypes/DataTypeLowCardinality.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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class RemovingLowCardinalityBlockInputStream : public IBlockInputStream
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{
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public:
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RemovingLowCardinalityBlockInputStream(BlockInputStreamPtr input_, ColumnNumbers positions_)
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: input(std::move(input_)), positions(std::move(positions_))
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{
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header = transform(input->getHeader());
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}
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Block transform(Block block)
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{
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if (block)
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{
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for (auto & pos : positions)
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{
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auto & col = block.safeGetByPosition(pos);
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col.column = recursiveRemoveLowCardinality(col.column);
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col.type = recursiveRemoveLowCardinality(col.type);
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}
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}
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return block;
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}
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String getName() const override { return "RemovingLowCardinality"; }
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Block getHeader() const override { return header; }
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const BlockMissingValues & getMissingValues() const override { return input->getMissingValues(); }
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bool isSortedOutput() const override { return input->isSortedOutput(); }
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const SortDescription & getSortDescription() const override { return input->getSortDescription(); }
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protected:
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Block readImpl() override { return transform(input->read()); }
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private:
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Block header;
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BlockInputStreamPtr input;
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ColumnNumbers positions;
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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 (!dynamic_cast<const DataTypeAggregateFunction *>(column.type.get()) && !dynamic_cast<const DataTypeCustomSimpleAggregateFunction *>(column.type->getCustomName()))
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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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if (auto simple_aggr = dynamic_cast<const DataTypeCustomSimpleAggregateFunction *>(column.type->getCustomName()))
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{
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// simple aggregate function
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SimpleAggregateDescription desc{simple_aggr->getFunction(), i};
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if (desc.function->allocatesMemoryInArena())
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allocatesMemoryInArena = true;
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columns_to_simple_aggregate.emplace_back(std::move(desc));
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if (recursiveRemoveLowCardinality(column.type).get() != column.type.get())
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converted_lc_columns.emplace_back(i);
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}
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else
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{
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// standard aggregate function
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column_numbers_to_aggregate.push_back(i);
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}
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}
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result_header = header;
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if (!converted_lc_columns.empty())
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{
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for (auto & input : children)
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input = std::make_shared<RemovingLowCardinalityBlockInputStream>(input, converted_lc_columns);
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header = children.at(0)->getHeader();
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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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for (auto & pos : converted_lc_columns)
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{
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auto & from_type = header.getByPosition(pos).type;
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auto & to_type = result_header.getByPosition(pos).type;
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merged_columns[pos] = (*recursiveTypeConversion(std::move(merged_columns[pos]), from_type, to_type)).mutate();
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}
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return result_header.cloneWithColumns(std::move(merged_columns));
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}
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void AggregatingSortedBlockInputStream::merge(MutableColumns & merged_columns, SortingHeap<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.isValid())
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{
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SortCursor current = queue.current();
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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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{
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/// Write the simple aggregation result for the previous group.
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insertSimpleAggregationResult(merged_columns);
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return;
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}
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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 j : column_numbers_not_to_aggregate)
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merged_columns[j]->insertFrom(*current->all_columns[j], current->pos);
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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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/// Write the simple aggregation result for the previous group.
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if (merged_rows > 0)
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insertSimpleAggregationResult(merged_columns);
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/// Reset simple aggregation states for next row
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for (auto & desc : columns_to_simple_aggregate)
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desc.createState();
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if (allocatesMemoryInArena)
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arena = std::make_unique<Arena>();
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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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queue.next();
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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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/// Write the simple aggregation result for the previous group.
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if (merged_rows > 0)
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insertSimpleAggregationResult(merged_columns);
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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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for (auto & desc : columns_to_simple_aggregate)
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{
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auto & col = cursor->all_columns[desc.column_number];
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desc.add_function(desc.function.get(), desc.state.data(), &col, cursor->pos, arena.get());
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}
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}
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void AggregatingSortedBlockInputStream::insertSimpleAggregationResult(MutableColumns & merged_columns)
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{
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for (auto & desc : columns_to_simple_aggregate)
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{
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desc.function->insertResultInto(desc.state.data(), *merged_columns[desc.column_number]);
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desc.destroyState();
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}
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}
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}
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