Hello Amazon S3 - AWS SDK代码示例

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Hello Amazon S3

以下代码示例展示了如何开始使用 Amazon S3。

C++
SDK对于 C++
注意

还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库中进行设置和运行。

CMakeLists.txt CMake 文件的代码。

# Set the minimum required version of CMake for this project. cmake_minimum_required(VERSION 3.13) # Set the AWS service components used by this project. set(SERVICE_COMPONENTS s3) # Set this project's name. project("hello_s3") # Set the C++ standard to use to build this target. # At least C++ 11 is required for the AWS SDK for C++. set(CMAKE_CXX_STANDARD 11) # Use the MSVC variable to determine if this is a Windows build. set(WINDOWS_BUILD ${MSVC}) if (WINDOWS_BUILD) # Set the location where CMake can find the installed libraries for the AWS SDK. string(REPLACE ";" "/aws-cpp-sdk-all;" SYSTEM_MODULE_PATH "${CMAKE_SYSTEM_PREFIX_PATH}/aws-cpp-sdk-all") list(APPEND CMAKE_PREFIX_PATH ${SYSTEM_MODULE_PATH}) endif () # Find the AWS SDK for C++ package. find_package(AWSSDK REQUIRED COMPONENTS ${SERVICE_COMPONENTS}) if (WINDOWS_BUILD AND AWSSDK_INSTALL_AS_SHARED_LIBS) # Copy relevant AWS SDK for C++ libraries into the current binary directory for running and debugging. # set(BIN_SUB_DIR "/Debug") # if you are building from the command line you may need to uncomment this # and set the proper subdirectory to the executables' location. AWSSDK_CPY_DYN_LIBS(SERVICE_COMPONENTS "" ${CMAKE_CURRENT_BINARY_DIR}${BIN_SUB_DIR}) endif () add_executable(${PROJECT_NAME} hello_s3.cpp) target_link_libraries(${PROJECT_NAME} ${AWSSDK_LINK_LIBRARIES})

hello_s3.cpp 源文件的代码。

#include <aws/core/Aws.h> #include <aws/s3/S3Client.h> #include <iostream> #include <aws/core/auth/AWSCredentialsProviderChain.h> using namespace Aws; using namespace Aws::Auth; /* * A "Hello S3" starter application which initializes an Amazon Simple Storage Service (Amazon S3) client * and lists the Amazon S3 buckets in the selected region. * * main function * * Usage: 'hello_s3' * */ int main(int argc, char **argv) { Aws::SDKOptions options; // Optionally change the log level for debugging. // options.loggingOptions.logLevel = Utils::Logging::LogLevel::Debug; Aws::InitAPI(options); // Should only be called once. int result = 0; { Aws::Client::ClientConfiguration clientConfig; // Optional: Set to the AWS Region (overrides config file). // clientConfig.region = "us-east-1"; // You don't normally have to test that you are authenticated. But the S3 service permits anonymous requests, thus the s3Client will return "success" and 0 buckets even if you are unauthenticated, which can be confusing to a new user. auto provider = Aws::MakeShared<DefaultAWSCredentialsProviderChain>("alloc-tag"); auto creds = provider->GetAWSCredentials(); if (creds.IsEmpty()) { std::cerr << "Failed authentication" << std::endl; } Aws::S3::S3Client s3Client(clientConfig); auto outcome = s3Client.ListBuckets(); if (!outcome.IsSuccess()) { std::cerr << "Failed with error: " << outcome.GetError() << std::endl; result = 1; } else { std::cout << "Found " << outcome.GetResult().GetBuckets().size() << " buckets\n"; for (auto &bucket: outcome.GetResult().GetBuckets()) { std::cout << bucket.GetName() << std::endl; } } } Aws::ShutdownAPI(options); // Should only be called once. return result; }
  • 有关API详细信息,请参阅 “AWS SDK for C++ API参考 ListBuckets” 中的。

Go
SDK适用于 Go V2
注意

还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库中进行设置和运行。

package main import ( "context" "fmt" "github.com/aws/aws-sdk-go-v2/config" "github.com/aws/aws-sdk-go-v2/service/s3" ) // main uses the AWS SDK for Go V2 to create an Amazon Simple Storage Service // (Amazon S3) client and list up to 10 buckets in your account. // This example uses the default settings specified in your shared credentials // and config files. func main() { sdkConfig, err := config.LoadDefaultConfig(context.TODO()) if err != nil { fmt.Println("Couldn't load default configuration. Have you set up your AWS account?") fmt.Println(err) return } s3Client := s3.NewFromConfig(sdkConfig) count := 10 fmt.Printf("Let's list up to %v buckets for your account.\n", count) result, err := s3Client.ListBuckets(context.TODO(), &s3.ListBucketsInput{}) if err != nil { fmt.Printf("Couldn't list buckets for your account. Here's why: %v\n", err) return } if len(result.Buckets) == 0 { fmt.Println("You don't have any buckets!") } else { if count > len(result.Buckets) { count = len(result.Buckets) } for _, bucket := range result.Buckets[:count] { fmt.Printf("\t%v\n", *bucket.Name) } } }
  • 有关API详细信息,请参阅 “AWS SDK for Go API参考 ListBuckets” 中的。

Java
SDK适用于 Java 2.x
注意

还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库中进行设置和运行。

import software.amazon.awssdk.regions.Region; import software.amazon.awssdk.services.s3.S3Client; import software.amazon.awssdk.services.s3.model.Bucket; import software.amazon.awssdk.services.s3.model.ListBucketsResponse; import software.amazon.awssdk.services.s3.model.S3Exception; import java.util.List; /** * 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 HelloS3 { public static void main(String[] args) { Region region = Region.US_EAST_1; S3Client s3 = S3Client.builder() .region(region) .build(); listBuckets(s3); } public static void listBuckets(S3Client s3) { try { ListBucketsResponse response = s3.listBuckets(); List<Bucket> bucketList = response.buckets(); bucketList.forEach(bucket -> { System.out.println("Bucket Name: " + bucket.name()); }); } catch (S3Exception e) { System.err.println(e.awsErrorDetails().errorMessage()); System.exit(1); } } }
  • 有关API详细信息,请参阅 “AWS SDK for Java 2.x API参考 ListBuckets” 中的。

JavaScript
SDK对于 JavaScript (v3)
注意

还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库中进行设置和运行。

import { ListBucketsCommand, S3Client } from "@aws-sdk/client-s3"; // When no region or credentials are provided, the SDK will use the // region and credentials from the local AWS config. const client = new S3Client({}); export const helloS3 = async () => { const command = new ListBucketsCommand({}); const { Buckets } = await client.send(command); console.log("Buckets: "); console.log(Buckets.map((bucket) => bucket.Name).join("\n")); return Buckets; };
  • 有关API详细信息,请参阅 “AWS SDK for JavaScript API参考 ListBuckets” 中的。

PHP
SDK for PHP
注意

还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库中进行设置和运行。

use Aws\S3\S3Client; $client = new S3Client(['region' => 'us-west-2']); $results = $client->listBuckets(); var_dump($results);
  • 有关API详细信息,请参阅 “AWS SDK for PHP API参考 ListBuckets” 中的。

Python
SDK适用于 Python (Boto3)
注意

还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库中进行设置和运行。

import boto3 def hello_s3(): """ Use the AWS SDK for Python (Boto3) to create an Amazon Simple Storage Service (Amazon S3) resource and list the buckets in your account. This example uses the default settings specified in your shared credentials and config files. """ s3_resource = boto3.resource("s3") print("Hello, Amazon S3! Let's list your buckets:") for bucket in s3_resource.buckets.all(): print(f"\t{bucket.name}") if __name__ == "__main__": hello_s3()
  • 有关API详细信息,请参阅ListBuckets中的 AWS SDKPython (Boto3) API 参考。

Ruby
SDK对于 Ruby
注意

还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库中进行设置和运行。

# frozen_string_literal: true # S3Manager is a class responsible for managing S3 operations # such as listing all S3 buckets in the current AWS account. class S3Manager def initialize(client) @client = client @logger = Logger.new($stdout) end # Lists and prints all S3 buckets in the current AWS account. def list_buckets @logger.info('Here are the buckets in your account:') response = @client.list_buckets if response.buckets.empty? @logger.info("You don't have any S3 buckets yet.") else response.buckets.each do |bucket| @logger.info("- #{bucket.name}") end end rescue Aws::Errors::ServiceError => e @logger.error("Encountered an error while listing buckets: #{e.message}") end end if $PROGRAM_NAME == __FILE__ s3_client = Aws::S3::Client.new manager = S3Manager.new(s3_client) manager.list_buckets end
  • 有关API详细信息,请参阅 “AWS SDK for Ruby API参考 ListBuckets” 中的。

Rust
SDK对于 Rust
注意

还有更多相关信息 GitHub。查找完整示例,学习如何在 AWS 代码示例存储库中进行设置和运行。

/// S3 Hello World Example using the AWS SDK for Rust. /// /// This example lists the objects in a bucket, uploads an object to that bucket, /// and then retrieves the object and prints some S3 information about the object. /// This shows a number of S3 features, including how to use built-in paginators /// for large data sets. /// /// # Arguments /// /// * `client` - an S3 client configured appropriately for the environment. /// * `bucket` - the bucket name that the object will be uploaded to. Must be present in the region the `client` is configured to use. /// * `filename` - a reference to a path that will be read and uploaded to S3. /// * `key` - the string key that the object will be uploaded as inside the bucket. async fn list_bucket_and_upload_object( client: &aws_sdk_s3::Client, bucket: &str, filepath: &Path, key: &str, ) -> Result<(), S3ExampleError> { // List the buckets in this account let mut objects = client .list_objects_v2() .bucket(bucket) .into_paginator() .send(); println!("key\tetag\tlast_modified\tstorage_class"); while let Some(Ok(object)) = objects.next().await { for item in object.contents() { println!( "{}\t{}\t{}\t{}", item.key().unwrap_or_default(), item.e_tag().unwrap_or_default(), item.last_modified() .map(|lm| format!("{lm}")) .unwrap_or_default(), item.storage_class() .map(|sc| format!("{sc}")) .unwrap_or_default() ); } } // Prepare a ByteStream around the file, and upload the object using that ByteStream. let body = aws_sdk_s3::primitives::ByteStream::from_path(filepath) .await .map_err(|err| { S3ExampleError::new(format!( "Failed to create bytestream for {filepath:?} ({err:?})" )) })?; let resp = client .put_object() .bucket(bucket) .key(key) .body(body) .send() .await?; println!( "Upload success. Version: {:?}", resp.version_id() .expect("S3 Object upload missing version ID") ); // Retrieve the just-uploaded object. let resp = client.get_object().bucket(bucket).key(key).send().await?; println!("etag: {}", resp.e_tag().unwrap_or("(missing)")); println!("version: {}", resp.version_id().unwrap_or("(missing)")); Ok(()) }

S3 ExampleError 实用程序

/// S3ExampleError provides a From<T: ProvideErrorMetadata> impl to extract /// client-specific error details. This serves as a consistent backup to handling /// specific service errors, depending on what is needed by the scenario. /// It is used throughout the code examples for the AWS SDK for Rust. #[derive(Debug)] pub struct S3ExampleError(String); impl S3ExampleError { pub fn new(value: impl Into<String>) -> Self { S3ExampleError(value.into()) } pub fn add_message(self, message: impl Into<String>) -> Self { S3ExampleError(format!("{}: {}", message.into(), self.0)) } } impl<T: aws_sdk_s3::error::ProvideErrorMetadata> From<T> for S3ExampleError { fn from(value: T) -> Self { S3ExampleError(format!( "{}: {}", value .code() .map(String::from) .unwrap_or("unknown code".into()), value .message() .map(String::from) .unwrap_or("missing reason".into()), )) } } impl std::error::Error for S3ExampleError {} impl std::fmt::Display for S3ExampleError { fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { write!(f, "{}", self.0) } }
  • 有关API详细信息,请参见ListBuckets中的 Rust AWS SDK API 参考