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Use ExecuteGremlinProfileQuery with an AWS SDK - AWS SDK Code Examples

There are more AWS SDK examples available in the AWS Doc SDK Examples GitHub repo.

Use ExecuteGremlinProfileQuery with an AWS SDK

The following code examples show how to use ExecuteGremlinProfileQuery.

Action examples are code excerpts from larger programs and must be run in context. You can see this action in context in the following code example:

Java
SDK for Java 2.x
Note

There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository. 

    /**
     * Executes a Gremlin query against an Amazon Neptune database using the provided {@link NeptunedataClient}.
     *
     * @param client the {@link NeptunedataClient} instance to use for executing the Gremlin query
     */
    public static void executeGremlinQuery(NeptunedataClient client) {
        try {
            System.out.println("Querying Neptune...");
            ExecuteGremlinQueryRequest request = ExecuteGremlinQueryRequest.builder()
                    .gremlinQuery("g.V().has('code', 'ANC')")
                    .build();

            ExecuteGremlinQueryResponse response = client.executeGremlinQuery(request);

            System.out.println("Full Response:");
            System.out.println(response);

            // Retrieve and print the result
            if (response.result() != null) {
                System.out.println("Query Result:");
                System.out.println(response.result().toString());
            } else {
                System.out.println("No result returned from the query.");
            }
        } catch (NeptunedataException e) {
            System.err.println("Error calling Neptune: " + e.awsErrorDetails().errorMessage());
        } catch (Exception e) {
            System.err.println("Unexpected error: " + e.getMessage());
        } finally {
            client.close();
        }
    }
Python
SDK for Python (Boto3)
Note

There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository. 

# Replace this with your actual Neptune endpoint
NEPTUNE_ENDPOINT = "https://[Specify Endpoint]:8182"

def main():
    """
    Entry point of the program. Initializes the Neptune client and executes the Gremlin query.
    """
    config = Config(connect_timeout=10, read_timeout=30, retries={'max_attempts': 3})

    neptune_client = boto3.client(
        "neptunedata",
        endpoint_url=NEPTUNE_ENDPOINT,
        config=config
    )

    execute_gremlin_query(neptune_client)


def execute_gremlin_query(neptune_client):
    """
    Executes a Gremlin query against an Amazon Neptune database.
    """
    try:
        print("Querying Neptune...")

        response = neptune_client.execute_gremlin_explain_query(
            gremlinQuery="g.V().has('code', 'ANC')"
        )

        print("Full Response:")
        print(response['output'].read().decode('UTF-8'))

    except ClientError as e:
        print(f"Error calling Neptune: {e.response['Error']['Message']}")
    except BotoCoreError as e:
        print(f"BotoCore error: {str(e)}")
    except Exception as e:
        print(f"Unexpected error: {str(e)}")


if __name__ == "__main__":
    main()