delete_objects(path: Union[str, List[str]], use_threads: bool = True, last_modified_begin: Optional[datetime.datetime] = None, last_modified_end: Optional[datetime.datetime] = None, boto3_session: Optional[boto3.session.Session] = None) → None¶
Delete Amazon S3 objects from a received S3 prefix or list of S3 objects paths.
This function accepts Unix shell-style wildcards in the path argument. * (matches everything), ? (matches any single character), [seq] (matches any character in seq), [!seq] (matches any character not in seq).
In case of use_threads=True the number of threads that will be spawned will be gotten from os.cpu_count().
The filter by last_modified begin last_modified end is applied after list all S3 files
path (Union[str, List[str]]) – S3 prefix (accepts Unix shell-style wildcards) (e.g. s3://bucket/prefix) or list of S3 objects paths (e.g. [s3://bucket/key0, s3://bucket/key1]).
use_threads (bool) – True to enable concurrent requests, False to disable multiple threads. If enabled os.cpu_count() will be used as the max number of threads.
last_modified_begin – Filter the s3 files by the Last modified date of the object. The filter is applied only after list all s3 files.
last_modified_end (datetime, optional) – Filter the s3 files by the Last modified date of the object. The filter is applied only after list all s3 files.
boto3_session (boto3.Session(), optional) – Boto3 Session. The default boto3 session will be used if boto3_session receive None.
- Return type
>>> import awswrangler as wr >>> wr.s3.delete_objects(['s3://bucket/key0', 's3://bucket/key1']) # Delete both objects >>> wr.s3.delete_objects('s3://bucket/prefix') # Delete all objects under the received prefix