Performance of ORDER BY on sorting key prefix with braces is 2x slower than without due to inefficient execution plan.
Without braces:
```sql
EXPLAIN PIPELINE
SELECT
    CounterID,
    EventDate
FROM hits_v1
ORDER BY
    CounterID ASC,
    EventDate ASC

┌─explain───────────────────────────┐
│ (Expression)                      │
│ ExpressionTransform               │
│   (Sorting)                       │
│   MergingSortedTransform 19 → 1   │
│     (Expression)                  │
│     ExpressionTransform × 19      │
│       (ReadFromMergeTree)         │
│       MergeTreeInOrder × 19 0 → 1 │
└───────────────────────────────────┘
```
With braces:
```sql
EXPLAIN PIPELINE
SELECT
    CounterID,
    EventDate
FROM hits_v1
ORDER BY (CounterID, EventDate) ASC

┌─explain────────────────────────────────┐
│ (Expression)                           │
│ ExpressionTransform                    │
│   (Sorting)                            │
│   MergingSortedTransform 16 → 1        │
│     MergeSortingTransform × 16         │
│       LimitsCheckingTransform × 16     │
│         PartialSortingTransform × 16   │
│           (Expression)                 │
│           ExpressionTransform × 16     │
│             (ReadFromMergeTree)        │
│             MergeTreeThread × 16 0 → 1 │
└────────────────────────────────────────┘
```
executeOffset(query_plan);
        }
    }
    if (!subqueries_for_sets.empty())
        executeSubqueriesInSetsAndJoins(query_plan, subqueries_for_sets);
}
static void executeMergeAggregatedImpl(
    QueryPlan & query_plan,
    bool overflow_row,
    bool final,
    bool is_remote_storage,
    bool has_grouping_sets,
    const Settings & settings,
    const NamesAndTypesList & aggregation_keys,
    const AggregateDescriptions & aggregates,
    bool should_produce_results_in_order_of_bucket_number)
{
    auto keys = aggregation_keys.getNames();
    if (has_grouping_sets)
        keys.insert(keys.begin(), "__grouping_set");
    /** There are two modes of distributed aggregation.
      *
      * 1. In different threads read from the remote servers blocks.
      * Save all the blocks in the RAM. Merge blocks.
      * If the aggregation is two-level - parallelize to the number of buckets.
      *
      * 2. In one thread, read blocks from different servers in order.
      * RAM stores only one block from each server.
      * If the aggregation is a two-level aggregation, we consistently merge the blocks of each next level.
      *