Deletes a glossary term from Glue Data Catalog.
Parameters:
-
identifier
(GlossaryTermId)
–
The unique identifier of the glossary term to delete.
Raises:
Source code in docs_src/capo_glue/_services/glue.py
| def delete_glossary_term(
self,
identifier: "capo_glue.types.glossary_term_id.GlossaryTermId",
*,
config_overrides: Optional[GlueClientConfig] = None,
) -> "capo_glue.types.delete_glossary_term_response.DeleteGlossaryTermResponse":
"""<p>Deletes a glossary term from Glue Data Catalog.</p>
Args:
identifier: <p>The unique identifier of the glossary term to delete.</p>
Raises:
capo_glue.errors.access_denied_exception.AccessDeniedException: <p>Access to a resource was denied.</p>
capo_glue.errors.concurrent_modification_exception.ConcurrentModificationException: <p>Two processes are trying to modify a resource simultaneously.</p>
capo_glue.errors.internal_service_exception.InternalServiceException: <p>An internal service error occurred.</p>
capo_glue.errors.invalid_input_exception.InvalidInputException: <p>The input provided was not valid.</p>
capo_glue.errors.throttling_exception.ThrottlingException: <p>The throttling threshhold was exceeded.</p>
capo_glue.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_glue.types.delete_glossary_term_request.DeleteGlossaryTermRequest]",
) -> OperationResponse[
"capo_glue.types.delete_glossary_term_response.DeleteGlossaryTermResponse"
]:
import capo_glue._operations.aws_glue.delete_glossary_term
output, http_response = (
capo_glue._operations.aws_glue.delete_glossary_term.delete_glossary_term(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("DeleteGlossaryTerm")
)
input_: capo_glue.types.delete_glossary_term_request.DeleteGlossaryTermRequest = {
"identifier": identifier
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|