ExecuteGremlinProfileQuery 搭配 AWS SDK 使用 - AWS SDK 程式碼範例

文件 AWS 開發套件範例 GitHub 儲存庫中有更多可用的 AWS SDK 範例。

本文為英文版的機器翻譯版本，如內容有任何歧義或不一致之處，概以英文版為準。

ExecuteGremlinProfileQuery 搭配 AWS SDK 使用

下列程式碼範例示範如何使用 ExecuteGremlinProfileQuery。

Java
SDK for Java 2.x
注意

GitHub 上提供更多範例。尋找完整範例，並了解如何在 AWS 程式碼範例儲存庫中設定和執行。

    /**
     * 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)
注意

GitHub 上提供更多範例。尋找完整範例，並了解如何在 AWS 程式碼範例儲存庫中設定和執行。

# 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()