使用 Amazon S3 SDK 列出存储分区

通过将 Cloud Storage XML API 与 HMAC 凭据搭配使用,列出使用 Amazon Simple Storage Service (Amazon S3) SDK 的 Cloud Storage 存储分区。

包含此代码示例的文档页面

如需查看上下文中使用的代码示例,请参阅以下文档:

代码示例

Go

如需了解详情,请参阅 Cloud Storage Go API 参考文档

import (
	"context"
	"fmt"
	"io"
	"time"

	"github.com/aws/aws-sdk-go/aws"
	"github.com/aws/aws-sdk-go/aws/credentials"
	"github.com/aws/aws-sdk-go/aws/session"
	"github.com/aws/aws-sdk-go/service/s3"
)

func listGCSBuckets(w io.Writer, googleAccessKeyID string, googleAccessKeySecret string) error {
	// googleAccessKeyID := "Your Google Access Key ID"
	// googleAccessKeySecret := "Your Google Access Key Secret"

	// Create a new client and do the following:
	// 1. Change the endpoint URL to use the Google Cloud Storage XML API endpoint.
	// 2. Use Cloud Storage HMAC Credentials.
	sess := session.Must(session.NewSession(&aws.Config{
		Region:      aws.String("auto"),
		Endpoint:    aws.String("https://storage.googleapis.com"),
		Credentials: credentials.NewStaticCredentials(googleAccessKeyID, googleAccessKeySecret, ""),
	}))

	client := s3.New(sess)
	ctx := context.Background()

	ctx, cancel := context.WithTimeout(ctx, time.Second*10)
	defer cancel()
	result, err := client.ListBucketsWithContext(ctx, &s3.ListBucketsInput{})
	if err != nil {
		return fmt.Errorf("ListBucketsWithContext: %v", err)
	}

	fmt.Fprintf(w, "Buckets:")
	for _, b := range result.Buckets {
		fmt.Fprintf(w, "%s\n", aws.StringValue(b.Name))
	}

	return nil
}

Java

如需了解详情,请参阅 Cloud Storage Java API 参考文档

import com.amazonaws.auth.AWSStaticCredentialsProvider;
import com.amazonaws.auth.BasicAWSCredentials;
import com.amazonaws.client.builder.AwsClientBuilder;
import com.amazonaws.services.s3.AmazonS3;
import com.amazonaws.services.s3.AmazonS3ClientBuilder;
import com.amazonaws.services.s3.model.Bucket;
import java.util.List;

public class ListGcsBuckets {
  public static void listGcsBuckets(String googleAccessKeyId, String googleAccessKeySecret) {

    // String googleAccessKeyId = "your-google-access-key-id";
    // String googleAccessKeySecret = "your-google-access-key-secret";

    // Create a BasicAWSCredentials using Cloud Storage HMAC credentials.
    BasicAWSCredentials googleCreds =
        new BasicAWSCredentials(googleAccessKeyId, googleAccessKeySecret);

    // Create a new client and do the following:
    // 1. Change the endpoint URL to use the Google Cloud Storage XML API endpoint.
    // 2. Use Cloud Storage HMAC Credentials.
    AmazonS3 interopClient =
        AmazonS3ClientBuilder.standard()
            .withEndpointConfiguration(
                new AwsClientBuilder.EndpointConfiguration(
                    "https://storage.googleapis.com", "auto"))
            .withCredentials(new AWSStaticCredentialsProvider(googleCreds))
            .build();

    // Call GCS to list current buckets
    List<Bucket> buckets = interopClient.listBuckets();

    // Print bucket names
    System.out.println("Buckets:");
    for (Bucket bucket : buckets) {
      System.out.println(bucket.getName());
    }

    // Explicitly clean up client resources.
    interopClient.shutdown();
  }

Python

如需了解详情,请参阅 Cloud Storage Python API 参考文档

import boto3

def list_gcs_buckets(google_access_key_id, google_access_key_secret):
    """Lists all GCS buckets using boto3 SDK"""
    # Create a new client and do the following:
    # 1. Change the endpoint URL to use the
    #    Google Cloud Storage XML API endpoint.
    # 2. Use Cloud Storage HMAC Credentials.
    client = boto3.client(
        "s3",
        region_name="auto",
        endpoint_url="https://storage.googleapis.com",
        aws_access_key_id=google_access_key_id,
        aws_secret_access_key=google_access_key_secret,
    )

    # Call GCS to list current buckets
    response = client.list_buckets()

    # Print bucket names
    print("Buckets:")
    for bucket in response["Buckets"]:
        print(bucket["Name"])

后续步骤

如需搜索和过滤其他 Google Cloud 产品的代码示例,请参阅 Google Cloud 示例浏览器