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untag_resource async

untag_resource(
    resource_arn: ResourceArn,
    tag_keys: TagKeyList,
    *,
    config_overrides: Optional[AsyncS3TablesClientConfig] = None,
) -> UntagResourceResponse

Removes the specified user-defined tags from an Amazon S3 Tables resource. You can pass one or more tag keys.

For a list of S3 resources that support tagging, see Managing tags for Amazon S3 resources.

Permissions

For tables and table buckets, you must have the s3tables:UntagResource permission to use this operation.

Parameters:

Raises:

Source code in docs_src/capo_s3tables/_services/async_s3_tables.py
async def untag_resource(
    self,
    resource_arn: "capo_s3tables.types.resource_arn.ResourceArn",
    tag_keys: "capo_s3tables.types.tag_key_list.TagKeyList",
    *,
    config_overrides: Optional[AsyncS3TablesClientConfig] = None,
) -> "capo_s3tables.types.untag_resource_response.UntagResourceResponse":
    """<p>Removes the specified user-defined tags from an Amazon S3 Tables resource. You can pass one or more tag keys. </p> <note> <p>For a list of S3 resources that support tagging, see <a href="https://docs.aws.amazon.com/AmazonS3/latest/userguide/tagging.html#manage-tags">Managing tags for Amazon S3 resources</a>.</p> </note> <dl> <dt>Permissions</dt> <dd> <p>For tables and table buckets, you must have the <code>s3tables:UntagResource</code> permission to use this operation.</p> </dd> </dl>

    Args:
        resource_arn: <p>The Amazon Resource Name (ARN) of the Amazon S3 Tables resource that you're removing tags from. The tagged resource can be a table bucket or a table. For a list of all S3 resources that support tagging, see <a href="https://docs.aws.amazon.com/AmazonS3/latest/userguide/tagging.html#manage-tags">Managing tags for Amazon S3 resources</a>.</p>
        tag_keys: <p>The array of tag keys that you're removing from the S3 Tables resource. For more information, see <a href="https://docs.aws.amazon.com/AmazonS3/latest/userguide/tagging.html">Tagging for cost allocation or attribute-based access control (ABAC)</a>.</p>

    Raises:
        capo_s3tables.errors.bad_request_exception.BadRequestException: <p>The request is invalid or malformed.</p>
        capo_s3tables.errors.conflict_exception.ConflictException: <p>The request failed because there is a conflict with a previous write. You can retry the request.</p>
        capo_s3tables.errors.forbidden_exception.ForbiddenException: <p>The caller isn't authorized to make the request.</p>
        capo_s3tables.errors.internal_server_error_exception.InternalServerErrorException: <p>The request failed due to an internal server error.</p>
        capo_s3tables.errors.not_found_exception.NotFoundException: <p>The request was rejected because the specified resource could not be found.</p>
        capo_s3tables.errors.too_many_requests_exception.TooManyRequestsException: <p>The limit on the number of requests per second was exceeded.</p>
        capo_s3tables.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_s3tables.types.untag_resource_request.UntagResourceRequest]",
    ) -> AsyncOperationResponse[
        "capo_s3tables.types.untag_resource_response.UntagResourceResponse"
    ]:
        import capo_s3tables._operations.s3_table_buckets.untag_resource

        (
            output,
            http_response,
        ) = await capo_s3tables._operations.s3_table_buckets.untag_resource.async_untag_resource(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UntagResource")
    )
    input_: capo_s3tables.types.untag_resource_request.UntagResourceRequest = {
        "resource_arn": resource_arn,
        "tag_keys": tag_keys,
    }

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output