文档 AWS SDK 示例 GitHub 存储库中还有更多 S AWS DK 示例
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与 AWS SDK ExecuteGremlinQuery
配合使用
以下代码示例演示如何使用 ExecuteGremlinQuery
。
- Java
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- 适用于 Java 的 SDK 2.x
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注意
还有更多相关信息 GitHub。在 AWS 代码示例存储库
中查找完整示例,了解如何进行设置和运行。 /** * 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."); } }
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有关 API 的详细信息,请参阅 AWS SDK for Java 2.x API 参考ExecuteGremlinQuery中的。
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- Python
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- 适用于 Python 的 SDK(Boto3)
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注意
还有更多相关信息 GitHub。在 AWS 代码示例存储库
中查找完整示例,了解如何进行设置和运行。 """ 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()
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有关 API 的详细信息,请参阅适用ExecuteGremlinQuery于 Python 的AWS SDK (Boto3) API 参考。
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ExecuteGremlinProfileQuery
ExecuteOpenCypherExplainQuery