CreateGraph mit einem AWS-SDK verwenden - AWS-SDK-Codebeispiele

Weitere AWS-SDK-Beispiele sind im GitHub-Repository Beispiele für AWS Doc SDKs verfügbar.

CreateGraph mit einem AWS-SDK verwenden

Die folgenden Code-Beispiele zeigen, wie CreateGraph verwendet wird.

Java
SDK für Java 2.x
Anmerkung

Auf GitHub finden Sie noch mehr. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das AWS-Code-Beispiel- einrichten und ausführen.

/** * Executes the process of creating a new Neptune graph. * * @param client the Neptune graph client used to interact with the Neptune service * @param graphName the name of the graph to be created * @throws NeptuneGraphException if an error occurs while creating the graph */ public static void executeCreateGraph(NeptuneGraphClient client, String graphName) { try { // Create the graph request CreateGraphRequest request = CreateGraphRequest.builder() .graphName(graphName) .provisionedMemory(16) .build(); // Create the graph CreateGraphResponse response = client.createGraph(request); // Extract the graph name and ARN String createdGraphName = response.name(); String graphArn = response.arn(); String graphEndpoint = response.endpoint(); System.out.println("Graph created successfully!"); System.out.println("Graph Name: " + createdGraphName); System.out.println("Graph ARN: " + graphArn); System.out.println("Graph Endpoint: " +graphEndpoint ); } catch (NeptuneGraphException e) { System.err.println("Failed to create graph: " + e.awsErrorDetails().errorMessage()); } finally { client.close(); } }
  • Weitere API-Informationen finden Sie unter CreateGraph in der API-Referenz für AWS SDK for Java 2.x.

Python
SDK für Python (Boto3)
Anmerkung

Auf GitHub finden Sie noch mehr. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das AWS-Code-Beispiel- einrichten und ausführen.

""" Running this example. ---------------------------------------------------------------------------------- VPC Networking Requirement: ---------------------------------------------------------------------------------- Amazon Neptune must be accessed from **within the same VPC** as the Neptune cluster. It does not expose a public endpoint, so this code must be executed from: - An **AWS Lambda function** configured to run inside the same VPC - An **EC2 instance** or **ECS task** running in the same VPC - A connected environment such as a **VPN**, **AWS Direct Connect**, or a **peered VPC** """ GRAPH_NAME = "sample-analytics-graph" def main(): config = Config(retries={"total_max_attempts": 1, "mode": "standard"}, read_timeout=None) client = boto3.client("neptune-graph", config=config) execute_create_graph(client, GRAPH_NAME) def execute_create_graph(client, graph_name): try: print("Creating Neptune graph...") response = client.create_graph( graphName=graph_name, provisionedMemory = 16 ) created_graph_name = response.get("name") graph_arn = response.get("arn") graph_endpoint = response.get("endpoint") print("Graph created successfully!") print(f"Graph Name: {created_graph_name}") print(f"Graph ARN: {graph_arn}") print(f"Graph Endpoint: {graph_endpoint}") except ClientError as e: print(f"Failed to create graph: {e.response['Error']['Message']}") except BotoCoreError as e: print(f"Failed to create graph: {str(e)}") except Exception as e: print(f"Unexpected error: {str(e)}") if __name__ == "__main__": main()
  • Weitere API-Informationen finden Sie unter CreateGraph in der API-Referenz zum AWS SDK für Python (Boto3).