cancel_gremlin_query `async` ¶

cancel_gremlin_query(
    query_id: str, *, config_overrides: Optional[AsyncneptunedataClientConfig] = None
) -> CancelGremlinQueryOutput

Cancels a Gremlin query. See Gremlin query cancellation for more information.

When invoking this operation in a Neptune cluster that has IAM authentication enabled, the IAM user or role making the request must have a policy attached that allows the neptune-db:CancelQuery IAM action in that cluster.

Parameters:

query_id (str) –

The unique identifier that identifies the query to be canceled.

Raises:

BadRequestException –

Raised when a request is submitted that cannot be processed.
ClientTimeoutException –

Raised when a request timed out in the client.
ConcurrentModificationException –

Raised when a request attempts to modify data that is concurrently being modified by another process.
ConstraintViolationException –

Raised when a value in a request field did not satisfy required constraints.
FailureByQueryException –

Raised when a request fails.
IllegalArgumentException –

Raised when an argument in a request is not supported.
InvalidArgumentException –

Raised when an argument in a request has an invalid value.
InvalidParameterException –

Raised when a parameter value is not valid.
MissingParameterException –

Raised when a required parameter is missing.
ParsingException –

Raised when a parsing issue is encountered.
PreconditionsFailedException –

Raised when a precondition for processing a request is not satisfied.
TimeLimitExceededException –

Raised when the an operation exceeds the time limit allowed for it.
TooManyRequestsException –

Raised when the number of requests being processed exceeds the limit.
UnsupportedOperationException –

Raised when a request attempts to initiate an operation that is not supported.
UnknownServiceError –

The service returned an error code this client does not model.

Source code in docs_src/capo_neptunedata/_services/async_neptunedata.py

async def cancel_gremlin_query(
    self,
    query_id: str,
    *,
    config_overrides: Optional[AsyncneptunedataClientConfig] = None,
) -> "capo_neptunedata.types.cancel_gremlin_query_output.CancelGremlinQueryOutput":
    """<p>Cancels a Gremlin query. See <a href="https://docs.aws.amazon.com/neptune/latest/userguide/gremlin-api-status-cancel.html">Gremlin query cancellation</a> for more information.</p> <p>When invoking this operation in a Neptune cluster that has IAM authentication enabled, the IAM user or role making the request must have a policy attached that allows the <a href="https://docs.aws.amazon.com/neptune/latest/userguide/iam-dp-actions.html#cancelquery">neptune-db:CancelQuery</a> IAM action in that cluster.</p>

    Args:
        query_id: <p>The unique identifier that identifies the query to be canceled.</p>

    Raises:
        capo_neptunedata.errors.bad_request_exception.BadRequestException: <p>Raised when a request is submitted that cannot be processed.</p>
        capo_neptunedata.errors.client_timeout_exception.ClientTimeoutException: <p>Raised when a request timed out in the client.</p>
        capo_neptunedata.errors.concurrent_modification_exception.ConcurrentModificationException: <p>Raised when a request attempts to modify data that is concurrently being modified by another process.</p>
        capo_neptunedata.errors.constraint_violation_exception.ConstraintViolationException: <p>Raised when a value in a request field did not satisfy required constraints.</p>
        capo_neptunedata.errors.failure_by_query_exception.FailureByQueryException: <p>Raised when a request fails.</p>
        capo_neptunedata.errors.illegal_argument_exception.IllegalArgumentException: <p>Raised when an argument in a request is not supported.</p>
        capo_neptunedata.errors.invalid_argument_exception.InvalidArgumentException: <p>Raised when an argument in a request has an invalid value.</p>
        capo_neptunedata.errors.invalid_parameter_exception.InvalidParameterException: <p>Raised when a parameter value is not valid.</p>
        capo_neptunedata.errors.missing_parameter_exception.MissingParameterException: <p>Raised when a required parameter is missing.</p>
        capo_neptunedata.errors.parsing_exception.ParsingException: <p>Raised when a parsing issue is encountered.</p>
        capo_neptunedata.errors.preconditions_failed_exception.PreconditionsFailedException: <p>Raised when a precondition for processing a request is not satisfied.</p>
        capo_neptunedata.errors.time_limit_exceeded_exception.TimeLimitExceededException: <p>Raised when the an operation exceeds the time limit allowed for it.</p>
        capo_neptunedata.errors.too_many_requests_exception.TooManyRequestsException: <p>Raised when the number of requests being processed exceeds the limit.</p>
        capo_neptunedata.errors.unsupported_operation_exception.UnsupportedOperationException: <p>Raised when a request attempts to initiate an operation that is not supported.</p>
        capo_neptunedata.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_neptunedata.types.cancel_gremlin_query_input.CancelGremlinQueryInput]",
    ) -> AsyncOperationResponse[
        "capo_neptunedata.types.cancel_gremlin_query_output.CancelGremlinQueryOutput"
    ]:
        import capo_neptunedata._operations.amazon_neptune_dataplane.cancel_gremlin_query

        (
            output,
            http_response,
        ) = await capo_neptunedata._operations.amazon_neptune_dataplane.cancel_gremlin_query.async_cancel_gremlin_query(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("CancelGremlinQuery")
    )
    input_: capo_neptunedata.types.cancel_gremlin_query_input.CancelGremlinQueryInput = {
        "query_id": query_id
    }

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

cancel_gremlin_query async ¶

cancel_gremlin_query `async` ¶