Usando o AWS SDK para executar consultas do Gremlin

Siga as instruções de instalação para instalar o Boto3.

Crie um arquivo chamado gremlinExample.py e cole o código a seguir:

import boto3
import json
from botocore.config import Config

# Disable the client-side read timeout and retries so that
# Neptune's server-side neptune_query_timeout controls query duration.
client = boto3.client(
    'neptunedata',
    endpoint_url=f'https://YOUR_NEPTUNE_HOST:YOUR_NEPTUNE_PORT',
    config=Config(read_timeout=None, retries={'total_max_attempts': 1})
)

# Use the untyped GraphSON v3 serializer for a cleaner JSON response.
response = client.execute_gremlin_query(
    gremlinQuery='g.V().limit(1)',
    serializer='application/vnd.gremlin-v3.0+json;types=false'
)

print(json.dumps(response['result'], indent=2))

Execute o exemplo: python gremlinExample.py

Siga as instruções de instalação para configurar o AWS SDK for Java.

Use o código a seguir para configurar umaNeptunedataClient, executar uma consulta Gremlin e imprimir o resultado:

import java.net.URI;
import java.time.Duration;
import software.amazon.awssdk.core.client.config.ClientOverrideConfiguration;
import software.amazon.awssdk.core.retry.RetryPolicy;
import software.amazon.awssdk.services.neptunedata.NeptunedataClient;
import software.amazon.awssdk.services.neptunedata.model.ExecuteGremlinQueryRequest;
import software.amazon.awssdk.services.neptunedata.model.ExecuteGremlinQueryResponse;

// Disable the client-side timeout and retries so that
// Neptune's server-side neptune_query_timeout controls query duration.
NeptunedataClient client = NeptunedataClient.builder()
    .endpointOverride(URI.create("https://YOUR_NEPTUNE_HOST:YOUR_NEPTUNE_PORT"))
    .overrideConfiguration(ClientOverrideConfiguration.builder()
        .apiCallTimeout(Duration.ZERO)
        .retryPolicy(RetryPolicy.none())
        .build())
    .build();

// Use the untyped GraphSON v3 serializer for a cleaner JSON response.
ExecuteGremlinQueryRequest request = ExecuteGremlinQueryRequest.builder()
    .gremlinQuery("g.V().limit(1)")
    .serializer("application/vnd.gremlin-v3.0+json;types=false")
    .build();

ExecuteGremlinQueryResponse response = client.executeGremlinQuery(request);

System.out.println(response.result().toString());

Siga as instruções de instalação para configurar o AWS SDK para JavaScript. Instale o pacote do cliente neptunedata:. npm install @aws-sdk/client-neptunedata

Crie um arquivo chamado gremlinExample.js e cole o código a seguir:

import { NeptunedataClient, ExecuteGremlinQueryCommand } from "@aws-sdk/client-neptunedata";
import { NodeHttpHandler } from "@smithy/node-http-handler";

const config = {
    endpoint: "https://YOUR_NEPTUNE_HOST:YOUR_NEPTUNE_PORT",
    // Disable the client-side request timeout so that
    // Neptune's server-side neptune_query_timeout controls query duration.
    requestHandler: new NodeHttpHandler({
        requestTimeout: 0
    }),
    maxAttempts: 1
};

const client = new NeptunedataClient(config);

// Use the untyped GraphSON v3 serializer for a cleaner JSON response.
const input = {
    gremlinQuery: "g.V().limit(1)",
    serializer: "application/vnd.gremlin-v3.0+json;types=false"
};

const command = new ExecuteGremlinQueryCommand(input);
const response = await client.send(command);

console.log(JSON.stringify(response, null, 2));

Execute o exemplo: node gremlinExample.js