```
create table default.test_parent
(
    id        UInt64,
    parent_id Nullable(UInt64)
) engine = MergeTree

create dictionary default.d4test_parent
    ( id UInt64,
    parent_id  Nullable(UInt64) HIERARCHICAL
    )
    PRIMARY KEY id
    SOURCE (CLICKHOUSE(DB 'default' TABLE 'test_parent'))
    LIFETIME (MIN 0 MAX 0)
    LAYOUT (HASHED)
;
insert into default.test_parent
values (1, null),
       (2, 3),
       (3, 1),
       (4, 2)
;
system reload dictionary default.d4test_parent
;
select dictGetDescendants('default.d4test_parent', toUInt64(2))
;
```

Code: 53. DB::Exception: default.d4test_parent (443f6664-e217-44ec-80e2-bbec982b4963): type mismatch: column has wrong type expected UInt64: While processing dictGetDescendants('default.d4test_parent', 2). (TYPE_MISMATCH) (version 22.3.2.1)


On old versions no errors
```
select version()
-- 21.11.6.7
;
select dictGetDescendants('default.d4test_parent', toUInt64(2))
-- [4]
```
auto key = extractor.extractCurrentKey();
            auto it = key_attribute_container.find(key);
            if (it == key_attribute_container.end())
            {
                key_index_to_element_index[key_index] = -1;
            }
            else
            {
                key_index_to_element_index[key_index] = it->getMapped();
                ++keys_found;
            }
            extractor.rollbackCurrentKey();
        }
        query_count.fetch_add(keys_size, std::memory_order_relaxed);
        found_count.fetch_add(keys_found, std::memory_order_relaxed);
    }
    size_t attribute_names_size = attribute_names.size();
    Columns result_columns;
    result_columns.reserve(attribute_names_size);
    for (size_t i = 0; i < attribute_names_size; ++i)
    {
        ColumnPtr result_column;
        const auto & attribute_name = attribute_names[i];
        const auto & result_type = result_types[i];
        const auto & default_values_column = default_values_columns[i];
        const auto & dictionary_attribute = dict_struct.getAttribute(attribute_name, result_type);
        const size_t attribute_index = dict_struct.attribute_name_to_index.find(attribute_name)->second;
        auto & attribute = attributes[attribute_index];
        if (attribute_names_size > 1)
            result_column = getAttributeColumn(attribute, dictionary_attribute, keys_size, default_values_column, key_index_to_element_index);