`DROP TABLE if exists default.test_20221226 on cluster clickhouse;
CREATE TABLE default.test_20221226 on cluster clickhouse
(
   uid Int64,
   start Int64,
   end Int64,
   ck_insert_time DateTime default now()
)
ENGINE = ReplacingMergeTree(ck_insert_time)
ORDER BY (uid, start)
;

DROP TABLE if exists default.test_20221226_all on cluster clickhouse;
CREATE TABLE default.test_20221226_all on cluster clickhouse AS default.test_20221226
ENGINE = Distributed('clickhouse', 'default', 'test_20221226', cityHash64(uid))
;

DROP DICTIONARY if exists default.test_20221226_dict on cluster clickhouse;
CREATE DICTIONARY default.test_20221226_dict on cluster clickhouse
(
    uid Int64,
    start Int64,
    end Int64,
    ck_insert_time DateTime
)
PRIMARY KEY uid
SOURCE(CLICKHOUSE(HOST 'localhost' PORT 9000 USER 'default' PASSWORD 'default' DB 'default' TABLE 'test_20221226_all' UPDATE_FIELD 'ck_insert_time' UPDATE_LAG 60))
LIFETIME(MIN 10 MAX 60)
LAYOUT(RANGE_HASHED())
RANGE(MIN start MAX end)
;

INSERT INTO default.test_20221226_all(uid,start,end) values (1, 0, 100),(1, 101,200),(2,0,999),(2,1000,10000);

select * from default.test_20221226_all ;
uid	start	end	ck_insert_time
1	0	100	2022-12-26 11:38:34
1	101	200	2022-12-26 11:38:34
2	0	999	2022-12-26 11:38:34
2	1000	10000	2022-12-26 11:38:34

select * from default.test_20221226_dict ;
uid	start	end	ck_insert_time
1	0	100	2022-12-26 11:38:34
1	101	200	2022-12-26 11:38:34
2	0	999	2022-12-26 11:38:34
2	1000	10000	2022-12-26 11:38:34

`

after the DICTIONARY update. (one minute later)

`
select * from default.test_20221226_all ;
uid	start	end	ck_insert_time
1	0	100	2022-12-26 11:38:34
1	101	200	2022-12-26 11:38:34
2	0	999	2022-12-26 11:38:34
2	1000	10000	2022-12-26 11:38:34

select * from default.test_20221226_dict ;
uid	start	end	ck_insert_time
1	101	200	2022-12-26 11:38:34
2	1000	10000	2022-12-26 11:38:34

`

the result in dict is wrong, missing the first range for each PRIMARY KEY.

somthing wrong in my create sql? or a bug for this version. because i have used this plan in version 21.11.4.14, that's greats on it,



if constexpr (std::is_same_v<AttributeType, String>)
        {
            const auto & string = value.get<String>();
            StringRef string_ref = copyStringInArena(string_arena, string);
            value_to_insert = string_ref;
        }
        else
        {
            value_to_insert = static_cast<ValueType>(value.get<ValueType>());
        }
        container.back() = value_to_insert;
    };
    callOnDictionaryAttributeType(attribute.type, type_call);
}
template <DictionaryKeyType dictionary_key_type>
Pipe RangeHashedDictionary<dictionary_key_type>::read(const Names & column_names, size_t max_block_size, size_t num_streams) const
{
    auto key_to_index_column = ColumnUInt64::create();
    auto range_min_column = dict_struct.range_min->type->createColumn();
    auto range_max_column = dict_struct.range_max->type->createColumn();
    PaddedPODArray<KeyType> keys;
    callOnRangeType(dict_struct.range_min->type, [&](const auto & types)
    {
        using Types = std::decay_t<decltype(types)>;
        using RangeColumnType = typename Types::LeftType;
        using RangeStorageType = typename RangeColumnType::ValueType;
        auto * range_min_column_typed = typeid_cast<RangeColumnType *>(range_min_column.get());
        if (!range_min_column_typed)
            throw Exception(ErrorCodes::TYPE_MISMATCH,
                "Dictionary {} range min column type should be equal to {}",