```
select version();
┌─version()───┐
│ 22.5.1.2079 │
└─────────────┘

CREATE TABLE order
(
    `ID` String,
    `Type` Enum8('TYPE_0' = 0, 'TYPE_1' = 1, 'TYPE_2' = 2),
    `Num` UInt64,
    `Data` String,
    `RowCreatedAt` DateTime DEFAULT now()
)
ENGINE = ReplacingMergeTree()
PARTITION BY toYYYYMMDD(RowCreatedAt)
PRIMARY KEY ID
ORDER BY (ID, Type, Num)
TTL RowCreatedAt + toIntervalWeek(6)
SETTINGS index_granularity = 8192;

insert into order (ID, Type, Num, Data, RowCreatedAt) select toString(cityHash64(ID)%2000), case cityHash64(ID)%3 when 0 then 'TYPE_0' when 1 then 'TYPE_1' when 2 then 'TYPE_2' ELSE 'TYPE_0' END, cityHash64(ID), ID, toDateTime(toUInt32(now()) - round(rand32() / 4294967295 * 4100000, 0))  from generateRandom('ID String ', 1, 1000) limit 100000;
insert into order (ID, Type, Num, Data, RowCreatedAt) select toString(cityHash64(ID)%2000), case cityHash64(ID)%3 when 0 then 'TYPE_0' when 1 then 'TYPE_1' when 2 then 'TYPE_2' ELSE 'TYPE_0' END, cityHash64(ID), ID, toDateTime(toUInt32(now()) - round(rand32() / 4294967295 * 4100000, 0))  from generateRandom('ID String ', 1, 1000) limit 100000;
insert into order (ID, Type, Num, Data, RowCreatedAt) select toString(cityHash64(ID)%2000), case cityHash64(ID)%3 when 0 then 'TYPE_0' when 1 then 'TYPE_1' when 2 then 'TYPE_2' ELSE 'TYPE_0' END, cityHash64(ID), ID, toDateTime(toUInt32(now()) - round(rand32() / 4294967295 * 4100000, 0))  from generateRandom('ID String ', 1, 1000) limit 100000;
insert into order (ID, Type, Num, Data, RowCreatedAt) select toString(cityHash64(ID)%2000), case cityHash64(ID)%3 when 0 then 'TYPE_0' when 1 then 'TYPE_1' when 2 then 'TYPE_2' ELSE 'TYPE_0' END, cityHash64(ID), ID, toDateTime(toUInt32(now()) - round(rand32() / 4294967295 * 4100000, 0))  from generateRandom('ID String ', 1, 1000) limit 100000;
insert into order (ID, Type, Num, Data, RowCreatedAt) select toString(cityHash64(ID)%2000), case cityHash64(ID)%3 when 0 then 'TYPE_0' when 1 then 'TYPE_1' when 2 then 'TYPE_2' ELSE 'TYPE_0' END, cityHash64(ID), ID, toDateTime(toUInt32(now()) - round(rand32() / 4294967295 * 4100000, 0))  from generateRandom('ID String ', 1, 1000) limit 100000;
insert into order (ID, Type, Num, Data, RowCreatedAt) select toString(cityHash64(ID)%2000), case cityHash64(ID)%3 when 0 then 'TYPE_0' when 1 then 'TYPE_1' when 2 then 'TYPE_2' ELSE 'TYPE_0' END, cityHash64(ID), ID, toDateTime(toUInt32(now()) - round(rand32() / 4294967295 * 4100000, 0))  from generateRandom('ID String ', 1, 1000) limit 100000;
insert into order (ID, Type, Num, Data, RowCreatedAt) select toString(cityHash64(ID)%2000), case cityHash64(ID)%3 when 0 then 'TYPE_0' when 1 then 'TYPE_1' when 2 then 'TYPE_2' ELSE 'TYPE_0' END, cityHash64(ID), ID, toDateTime(toUInt32(now()) - round(rand32() / 4294967295 * 4100000, 0))  from generateRandom('ID String ', 1, 1000) limit 100000;
insert into order (ID, Type, Num, Data, RowCreatedAt) select toString(cityHash64(ID)%2000), case cityHash64(ID)%3 when 0 then 'TYPE_0' when 1 then 'TYPE_1' when 2 then 'TYPE_2' ELSE 'TYPE_0' END, cityHash64(ID), ID, toDateTime(toUInt32(now()) - round(rand32() / 4294967295 * 4100000, 0))  from generateRandom('ID String ', 1, 1000) limit 100000;
insert into order (ID, Type, Num, Data, RowCreatedAt) select toString(cityHash64(ID)%2000), case cityHash64(ID)%3 when 0 then 'TYPE_0' when 1 then 'TYPE_1' when 2 then 'TYPE_2' ELSE 'TYPE_0' END, cityHash64(ID), ID, toDateTime(toUInt32(now()) - round(rand32() / 4294967295 * 4100000, 0))  from generateRandom('ID String ', 1, 1000) limit 100000;

select count(*) from order;
┌─count()─┐
│  892441 │
└─────────┘

set optimize_move_to_prewhere = 0;
SELECT Data
FROM order
WHERE (ID = '1') AND (Type = 'TYPE_1')
ORDER BY Num ASC
FORMAT `Null`

Ok.

set optimize_move_to_prewhere = 1;
SELECT Data
FROM order
WHERE (ID = '1') AND (Type = 'TYPE_1')
ORDER BY Num ASC
FORMAT `Null`

Received exception from server (version 22.5.1):
Code: 10. DB::Exception: Received from localhost:9000. DB::Exception: Not found column Type in block. There are only columns: ID, Num, equals(Type, 'TYPE_1'), Data. (NOT_FOUND_COLUMN_IN_BLOCK)

```
const NamesAndTypesList & aggregationKeys() const { return aggregation_keys; }
    bool hasConstAggregationKeys() const { return has_const_aggregation_keys; }
    const NamesAndTypesLists & aggregationKeysList() const { return aggregation_keys_list; }
    const AggregateDescriptions & aggregates() const { return aggregate_descriptions; }
    std::unique_ptr<QueryPlan> getJoinedPlan();
    
    const TemporaryTablesMapping & getExternalTables() const { return external_tables; }
    ActionsDAGPtr simpleSelectActions();
    
    void appendSelect(ExpressionActionsChain & chain, bool only_types);
    
    ActionsDAGPtr appendProjectResult(ExpressionActionsChain & chain) const;
    
    void makeSetsForIndex(const ASTPtr & node);
private:
    StorageMetadataPtr metadata_snapshot;
    
    NameSet required_result_columns;
    SelectQueryOptions query_options;
    JoinPtr makeJoin(
        const ASTTablesInSelectQueryElement & join_element,
        const ColumnsWithTypeAndName & left_columns,
        ActionsDAGPtr & left_convert_actions);
    const ASTSelectQuery * getAggregatingQuery() const;
    /** These methods allow you to build a chain of transformations over a block, that receives values in the desired sections of the query.
      *
      * Example usage:
      *   ExpressionActionsChain chain;
      *   analyzer.appendWhere(chain);