**Describe the unexpected behaviour**
max(date) and min(date) always return the same negative value: -127593672

**How to reproduce**
ClickHouse version: Docker -- clickhouse/clickhouse-server:22.6.8.35-alpine
Architecture: linux/arm64

```
MySQL [test]> create table test_date (
  date Int32,
  hour Int32
  ) ENGINE = MergeTree ORDER BY (date);
    ->     ->     -> Query OK, 0 rows affected (0.01 sec)
```
```
MySQL [test]> insert into test_date values(20220920, 1);
Query OK, 1 row affected (0.00 sec)
```
```
MySQL [test]> select max(date) from test_date;
+-----------------+
| maxOrNull(date) |
+-----------------+
| -127593672      |
+-----------------+
1 row in set (0.00 sec)
```
```
MySQL [test]> select max(hour) from test_date;
+-----------------+
| maxOrNull(hour) |
+-----------------+
| 1               |
+-----------------+
1 row in set (0.00 sec)
```
**Expected behavior**
I expect it to return ``20220920``.

if (minmax_count_projection_candidate->prewhere_info)
        {
            const auto & prewhere_info = minmax_count_projection_candidate->prewhere_info;
            if (prewhere_info->row_level_filter)
            {
                ExpressionActions(prewhere_info->row_level_filter, actions_settings).execute(query_info.minmax_count_projection_block);
                query_info.minmax_count_projection_block.erase(prewhere_info->row_level_column_name);
            }
            if (prewhere_info->prewhere_actions)
                ExpressionActions(prewhere_info->prewhere_actions, actions_settings).execute(query_info.minmax_count_projection_block);
            if (prewhere_info->remove_prewhere_column)
                query_info.minmax_count_projection_block.erase(prewhere_info->prewhere_column_name);
        }
        if (normal_parts.empty())
        {
            selected_candidate = &*minmax_count_projection_candidate;
            selected_candidate->complete = true;
            min_sum_marks = query_info.minmax_count_projection_block.rows();
        }
        else if (normal_parts.size() < parts.size())
        {
            auto normal_result_ptr = reader.estimateNumMarksToRead(
                normal_parts,
                analysis_result.required_columns,
                metadata_snapshot,
                metadata_snapshot,
                query_info,
                added_filter_nodes,
                query_context,
                settings.max_threads,