qdrant_client.uploader.uploader module

class BaseUploader

Bases: Worker, ABC

classmethod iterate_batches(vectors: Union[Dict[str, ndarray[Any, dtype[Union[bool_, int8, int16, int32, int64, uint8, uint16, uint32, uint64, float16, float32, float64, float128]]]], ndarray[Any, dtype[Union[bool_, int8, int16, int32, int64, uint8, uint16, uint32, uint64, float16, float32, float64, float128]]], Iterable[Union[List[float[float]], List[List[float[float]]], Dict[str[str], Union[List[float[float]], SparseVector, List[List[float[float]]], Document]], Document]]], payload: Optional[Iterable[dict]], ids: Optional[Iterable[Union[int[int], str[str]]]], batch_size: int) → Iterable

classmethod iterate_records_batches(records: Iterable[Union[PointStruct, Record]], batch_size: int) → Iterable

iter_batch(iterable: Union[Iterable, Generator], size: int) → Iterable

>>> list(iter_batch([1,2,3,4,5], 3))
[[1, 2, 3], [4, 5]]