```py
## writing ArrowStream file from python
import pyarrow as pa
data = [
    pa.array([1, 2, 3, 4, 5]),
    pa.array(["one", "two", "three", "four", "five"]).dictionary_encode(),
    pa.array([1, 2, 3, 4, 5]).dictionary_encode(),
    pa.array([True, False, True, True, True])
]
batch = pa.record_batch(data, names=['id', 'lc_nullable', 'lc_int_nullable', 'bool_nullable'])
writer = pa.ipc.new_stream("test4.arrows", batch.schema)
writer.write_batch(batch)
writer.close()
```

```
clickhouse-local --query='SELECT * FROM table FORMAT TSVWithNamesAndTypes' --stacktrace --input-format=ArrowStream < test4.arrows
id	lc_nullable	lc_int_nullable	bool_nullable
Nullable(Int64)	LowCardinality(Nullable(String))	LowCardinality(Nullable(Int64))	Nullable(UInt8)
1		0	1
2	one	1	0
3	two	2	1
4	three	3	1
5	four	4	1
```

0 in LowCardianality dictionary in ClickHouse have special meaning (null/default), while in Arrow it's a regular values.

Probably remapping needed... :|
case arrow::Type::BOOL:
            return readColumnWithBooleanData(arrow_column, column_name);
        case arrow::Type::DATE32:
            return readColumnWithDate32Data(arrow_column, column_name);
        case arrow::Type::DATE64:
            return readColumnWithDate64Data(arrow_column, column_name);
        
        
        
        case arrow::Type::UINT16:
        {
            auto column = readColumnWithNumericData<UInt16>(arrow_column, column_name);
            if (read_ints_as_dates)
                column.type = std::make_shared<DataTypeDate>();
            return column;
        }
        case arrow::Type::UINT32:
        {
            auto column = readColumnWithNumericData<UInt32>(arrow_column, column_name);
            if (read_ints_as_dates)
                column.type = std::make_shared<DataTypeDateTime>();
            return column;
        }
        case arrow::Type::TIMESTAMP:
            return readColumnWithTimestampData(arrow_column, column_name);
        case arrow::Type::DECIMAL128:
            return readColumnWithDecimalData<arrow::Decimal128Array>(arrow_column, column_name);
        case arrow::Type::DECIMAL256:
            return readColumnWithDecimalData<arrow::Decimal256Array>(arrow_column, column_name);
        case arrow::Type::MAP: