StopDBCluster 搭配 AWS SDK 使用 - AWS SDK 程式碼範例

文件 AWS 開發套件範例 GitHub 儲存庫中有更多可用的 AWS SDK 範例

本文為英文版的機器翻譯版本,如內容有任何歧義或不一致之處,概以英文版為準。

StopDBCluster 搭配 AWS SDK 使用

下列程式碼範例示範如何使用 StopDBCluster

Java
SDK for Java 2.x
注意

GitHub 上提供更多範例。尋找完整範例,並了解如何在 AWS 程式碼範例儲存庫中設定和執行。

/** * Stops an Amazon Neptune DB cluster. * * @param clusterIdentifier the unique identifier of the DB cluster to be stopped */ public CompletableFuture<StopDbClusterResponse> stopDBClusterAsync(String clusterIdentifier) { StopDbClusterRequest clusterRequest = StopDbClusterRequest.builder() .dbClusterIdentifier(clusterIdentifier) .build(); return getAsyncClient().stopDBCluster(clusterRequest) .whenComplete((response, error) -> { if (error != null) { Throwable cause = error.getCause() != null ? error.getCause() : error; if (cause instanceof ResourceNotFoundException) { throw (ResourceNotFoundException) cause; } throw new RuntimeException("Failed to stop DB cluster: " + cause.getMessage(), cause); } else { logger.info("DB Cluster stopped: " + clusterIdentifier); } }); }
  • 如需 API 詳細資訊,請參閱AWS SDK for Java 2.x 《 API 參考》中的 StopDBCluster

Python
SDK for Python (Boto3)
注意

GitHub 上提供更多範例。尋找完整範例,並了解如何在 AWS 程式碼範例儲存庫中設定和執行。

def stop_db_cluster(neptune_client, cluster_identifier: str): """ Stops an Amazon Neptune DB cluster and waits until it's fully stopped. Args: neptune_client (boto3.client): The Neptune client. cluster_identifier (str): The DB cluster identifier. Raises: ClientError: For AWS API errors (e.g., resource not found). RuntimeError: If the cluster doesn't stop within the timeout. """ try: neptune_client.stop_db_cluster(DBClusterIdentifier=cluster_identifier) except ClientError as err: code = err.response["Error"]["Code"] message = err.response["Error"]["Message"] if code == "AccessDeniedException": print("Access denied. Please ensure you have the necessary permissions.") else: print(f"Couldn't stop DB cluster. Here's why: {code}: {message}") raise start_time = time.time() paginator = neptune_client.get_paginator('describe_db_clusters') while True: try: pages = paginator.paginate(DBClusterIdentifier=cluster_identifier) clusters = [] for page in pages: clusters.extend(page.get('DBClusters', [])) except ClientError as err: code = err.response["Error"]["Code"] message = err.response["Error"]["Message"] if code == "DBClusterNotFound": print(f"Cluster '{cluster_identifier}' not found while polling. It may have been deleted.") else: print(f"Couldn't describe DB cluster. Here's why: {code}: {message}") raise status = clusters[0].get('Status') if clusters else None elapsed = time.time() - start_time print(f"\rElapsed: {int(elapsed)}s – Cluster status: {status}", end="", flush=True) if status and status.lower() == 'stopped': print(f"\nCluster '{cluster_identifier}' is now stopped.") return if elapsed > TIMEOUT_SECONDS: raise RuntimeError(f"Timeout waiting for cluster '{cluster_identifier}' to stop.") time.sleep(POLL_INTERVAL_SECONDS)
  • 如需 API 詳細資訊,請參閱《適用於 AWS Python (Boto3) 的 SDK API 參考》中的 StopDBCluster