D'autres exemples de AWS SDK sont disponibles dans le référentiel AWS Doc SDK Examples GitHub .
Les traductions sont fournies par des outils de traduction automatique. En cas de conflit entre le contenu d'une traduction et celui de la version originale en anglais, la version anglaise prévaudra.
Utilisation CreateGraph avec un AWS SDK
Les exemples de code suivants illustrent comment utiliser CreateGraph.
Les exemples d’actions sont des extraits de code de programmes de plus grande envergure et doivent être exécutés en contexte. Vous pouvez voir cette action en contexte dans l’exemple de code suivant :
- Java
-
- SDK pour Java 2.x
-
/**
* 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();
}
}
- Python
-
- Kit SDK for Python (Boto3)
-
"""
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()
