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使用 auth tokens 对 R2 API 进行身份验证

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以下示例演示如何使用 S3 API 和 API 令牌对 R2 进行身份验证。

运行任一示例前,请确保已设置以下环境变量。更多信息请参阅身份验证

export AWS_REGION=auto
export AWS_ENDPOINT_URL=https://<account_id>.r2.cloudflarestorage.com
export AWS_ACCESS_KEY_ID=your_access_key_id
export AWS_SECRET_ACCESS_KEY=your_secret_access_key

安装 S3 API 的 @aws-sdk/client-s3 包:

npm i @aws-sdk/client-s3

使用 node index.js 运行以下 Node.js 脚本。请确保将 Bucket 更改为存储桶名称,将 Key 指向 R2 存储桶中的现有文件。

注意,以下教程对 TypeScript 同样适用。

index.jsjavascript
import { GetObjectCommand, S3Client } from "@aws-sdk/client-s3";

const s3 = new S3Client();

const Bucket = "<YOUR_BUCKET_NAME>";
const Key = "pfp.jpg";

const object = await s3.send(
  new GetObjectCommand({
    Bucket,
    Key,
  }),
);

console.log("Successfully fetched the object", object.$metadata);

// Process the data as needed
// For example, to get the content as a Buffer:
// const content = data.Body;

// Or to save the file (requires 'fs' module):
// import { writeFile } from "node:fs/promises";
// await writeFile('ingested_0001.parquet', data.Body);

安装 boto3 S3 API 客户端:

pip install boto3

使用 python3 get_r2_object.py 运行以下 Python 脚本。请确保将 bucket 更改为存储桶名称,将 object_key 指向 R2 存储桶中的现有文件。

get_r2_object.pypython
import boto3
from botocore.client import Config

# Configure the S3 client for Cloudflare R2
s3_client = boto3.client('s3',
  config=Config(signature_version='s3v4')
)

# Specify the object key
#
bucket = '<YOUR_BUCKET_NAME>'
object_key = '2024/08/02/ingested_0001.parquet'

try:
  # Fetch the object
  response = s3_client.get_object(Bucket=bucket, Key=object_key)

  print('Successfully fetched the object')

  # Process the response content as needed
  # For example, to read the content:
  # object_content = response['Body'].read()

  # Or to save the file:
  # with open('ingested_0001.parquet', 'wb') as f:
  #     f.write(response['Body'].read())

except Exception as e:
  print(f'Failed to fetch the object. Error: {str(e)}')

使用 go getaws-sdk-go-v2 包添加到 Go 项目:

go get github.com/aws/aws-sdk-go-v2
go get github.com/aws/aws-sdk-go-v2/config
go get github.com/aws/aws-sdk-go-v2/credentials
go get github.com/aws/aws-sdk-go-v2/service/s3

使用 go run main.go 将以下 Go 应用程序作为脚本运行。请确保将 bucket 更改为存储桶名称,将 objectKey 指向 R2 存储桶中的现有文件。

package main

import (
  "context"
  "fmt"
  "io"
  "log"
  "github.com/aws/aws-sdk-go-v2/aws"
  "github.com/aws/aws-sdk-go-v2/config"
  "github.com/aws/aws-sdk-go-v2/service/s3"
)

func main() {
    cfg, err := config.LoadDefaultConfig(context.TODO())
    if err != nil {
	    log.Fatalf("Unable to load SDK config, %v", err)
    }

    // Create an S3 client
    client := s3.NewFromConfig(cfg)

    // Specify the object key
    bucket := "<YOUR_BUCKET_NAME>"
    objectKey := "pfp.jpg"

    // Fetch the object
    output, err := client.GetObject(context.TODO(), &s3.GetObjectInput{
	    Bucket: aws.String(bucket),
	    Key:    aws.String(objectKey),
    })
    if err != nil {
	    log.Fatalf("Unable to fetch object, %v", err)
    }
    defer output.Body.Close()

    fmt.Println("Successfully fetched the object")

    // Process the object content as needed
    // For example, to save the file:
    // file, err := os.Create("ingested_0001.parquet")
    // if err != nil {
    // 	log.Fatalf("Unable to create file, %v", err)
    // }
    // defer file.Close()
    // _, err = io.Copy(file, output.Body)
    // if err != nil {
    // 	log.Fatalf("Unable to write file, %v", err)
    // }

    // Or to read the content:
    content, err := io.ReadAll(output.Body)
    if err != nil {
	    log.Fatalf("Unable to read object content, %v", err)
    }
    fmt.Printf("Object content length: %d bytes\n", len(content))
}

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