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使 AWS 用軟體開發套件的 Amazon Redshift 程式碼範例
下列程式碼範例說明如何搭配 AWS 軟體開發套件 (SDK) 使用 Amazon Redshift。
Actions 是大型程式的程式碼摘錄,必須在內容中執行。雖然動作會告訴您如何呼叫個別服務函數,但您可以在其相關情境和跨服務範例中查看內容中的動作。
Scenarios (案例) 是向您展示如何呼叫相同服務中的多個函數來完成特定任務的程式碼範例。
Cross-service examples (跨服務範例) 是跨多個 AWS services執行的應用程式範例。
如需 AWS SDK 開發人員指南和程式碼範例的完整清單,請參閱搭配 AWS SDK 使用此服務。此主題也包含入門相關資訊和舊版 SDK 的詳細資訊。
開始使用
下列程式碼範例顯示如何開始使用 Amazon Redshift。
- Java
-
- 適用於 Java 2.x 的 SDK
-
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.redshift.RedshiftClient;
import software.amazon.awssdk.services.redshift.paginators.DescribeClustersIterable;
/**
* Before running this Java V2 code example, set up your development
* environment, including your credentials.
*
* For more information, see the following documentation topic:
*
* https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html
*/
public class HelloRedshift {
public static void main(String[] args) {
Region region = Region.US_EAST_1;
RedshiftClient redshiftClient = RedshiftClient.builder()
.region(region)
.build();
listClustersPaginator(redshiftClient);
}
public static void listClustersPaginator(RedshiftClient redshiftClient) {
DescribeClustersIterable clustersIterable = redshiftClient.describeClustersPaginator();
clustersIterable.stream()
.flatMap(r -> r.clusters().stream())
.forEach(cluster -> System.out
.println(" Cluster identifier: " + cluster.clusterIdentifier() + " status = " + cluster.clusterStatus()));
}
}
- Python
-
- 適用於 Python (Boto3) 的 SDK
-
import boto3
def hello_redshift(redshift_client):
"""
Use the AWS SDK for Python (Boto3) to create an Amazon Redshift client and list
the clusters in your account. This list might be empty if you haven't created
any clusters.
This example uses the default settings specified in your shared credentials
and config files.
:param redshift_client: A Boto3 Redshift Client object.
"""
print("Hello, Redshift! Let's list your clusters:")
paginator = redshift_client.get_paginator("describe_clusters")
clusters = []
for page in paginator.paginate():
clusters.extend(page["Clusters"])
print(f"{len(clusters)} cluster(s) were found.")
for cluster in clusters:
print(f" {cluster['ClusterIdentifier']}")
if __name__ == "__main__":
hello_redshift(boto3.client("redshift"))