D'autres exemples de AWS SDK sont disponibles dans le référentiel AWS Doc SDK Examples GitHub .
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Utilisation ExecuteGremlinQuery avec un AWS SDK
Les exemples de code suivants illustrent comment utiliser ExecuteGremlinQuery.
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 a Gremlin PROFILE query using the provided NeptunedataClient.
*
* @param client The NeptunedataClient instance to be used for executing the Gremlin PROFILE query.
*/
private static void executeGremlinProfileQuery(NeptunedataClient client) {
System.out.println("Executing Gremlin PROFILE query...");
ExecuteGremlinProfileQueryRequest request = ExecuteGremlinProfileQueryRequest.builder()
.gremlinQuery("g.V().has('code', 'ANC')")
.build();
ExecuteGremlinProfileQueryResponse response = client.executeGremlinProfileQuery(request);
if (response.output() != null) {
System.out.println("Query Profile Output:");
System.out.println(response.output());
} else {
System.out.println("No output returned from the profile query.");
}
}
- 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**
"""
# Replace with your actual Neptune endpoint
NEPTUNE_ENDPOINT = "https://[Specify-Your-Endpoint]:8182"
def main():
"""
Entry point of the program. Initializes the Neptune client and runs both EXPLAIN and PROFILE queries.
"""
config = Config(connect_timeout=10, read_timeout=30, retries={'max_attempts': 3})
neptune_client = boto3.client(
"neptunedata",
endpoint_url=NEPTUNE_ENDPOINT,
config=config
)
try:
run_profile_query(neptune_client)
except ClientError as e:
print(f"Neptune error: {e.response['Error']['Message']}")
except BotoCoreError as e:
print(f"BotoCore error: {str(e)}")
except Exception as e:
print(f"Unexpected error: {str(e)}")
def run_profile_query(neptune_client):
"""
Runs a PROFILE query on the Neptune graph database.
"""
print("Running Gremlin PROFILE query...")
try:
response = neptune_client.execute_gremlin_profile_query(
gremlinQuery="g.V().has('code', 'ANC')"
)
print("Profile Query Result:")
output = response.get("output")
if output:
print(output.read().decode('utf-8'))
else:
print("No explain output returned.")
except Exception as e:
print(f"Failed to execute PROFILE query: {str(e)}")
if __name__ == "__main__":
main()
