```sql
SELECT count()
FROM 
(
    SELECT number
    FROM numbers_mt(100000000)
    ORDER BY number DESC
    LIMIT 100
    UNION ALL
    SELECT number
    FROM numbers_mt(100000000)
    ORDER BY number DESC
    LIMIT 100
    UNION ALL
    SELECT number
    FROM numbers_mt(100000000)
    ORDER BY number DESC
    LIMIT 100
)


SET experimental_use_processors = 0;
-- 1 rows in set. Elapsed: 1.581 sec. Processed 300.00 million rows, 2.40 GB (189.78 million rows/s., 1.52 GB/s.) 

SET experimental_use_processors = 1;
-- 1 rows in set. Elapsed: 3.569 sec. Processed 300.00 million rows, 2.40 GB (84.06 million rows/s., 672.50 MB/s.) 
```

Similar for MergeTree:

```sql
create table test engine=MergeTree order by tuple() as select * from numbers(30000000);

select count() from (select number from test group by number order by number limit 10 union all select number from test group by number order by number limit 10);

set experimental_use_processors=0;
-- Elapsed: 2.664 sec

set experimental_use_processors=1;
-- Elapsed: 3.656 sec
```
{
    checkInitializedAndNotCompleted();
    if (totals_having_port)
        throw Exception("Totals having transform was already added to pipeline.", ErrorCodes::LOGICAL_ERROR);
    Columns columns;
    columns.reserve(current_header.columns());
    for (size_t i = 0; i < current_header.columns(); ++i)
    {
        auto column = current_header.getByPosition(i).type->createColumn();
        column->insertDefault();
        columns.emplace_back(std::move(column));
    }
    auto source = std::make_shared<SourceFromSingleChunk>(current_header, Chunk(std::move(columns), 1));
    totals_having_port = &source->getPort();
    processors.emplace(std::move(source));
}
void QueryPipeline::addTotals(ProcessorPtr source)