Amazon Simple Storage Service (Amazon S3)是面向 Internet 的存储服务,具有高扩展性、可靠性、安全性和快速价廉的特点,提供 99.999999999% 的持久性,可存储无限量的数据,每个对象最多包含 5 TB 的数据。S3支持版本控制、对象生命周期管理、加密、静态网站托管、Select SQL查询等。
S3 架构设计与编程语言无关,提供 REST 和 SOAP 接口。HTTP 上的 SOAP 支持已弃用,但仍可在 HTTPS 上使用。SOAP 将不支持新 S3 功能,建议使用 REST API。
借助 REST,可以使用标准的 HTTP 请求创建、提取和删除存储桶和对象。直接利用REST API进行代码开发是复杂的,AWS SDK包装了底层REST API,可以简化编程任务。
为使用AWS SDK,必须提供AWS凭证,在 ~/.aws/credentials (Windows 用户为 C:\Users\USER_NAME.aws\credentials) 中创建:
[default]
aws_access_key_id = your_access_key_id
aws_secret_access_key = your_secret_access_key
UTF-8
com.amazonaws
aws-java-sdk-s3
com.amazonaws
aws-java-sdk-bom
1.11.433
pom
import
如要使用全部的SDK,不需使用BOM,简单声明如下:
com.amazonaws
aws-java-sdk
1.11.433
演示了createBucket、listBuckets、putObject、getObject、listObjects、deleteObject、deleteBucket等S3基本操作。
package org.itrunner.aws.s3;
import com.amazonaws.HttpMethod;
import com.amazonaws.regions.Regions;
import com.amazonaws.services.s3.AmazonS3;
import com.amazonaws.services.s3.AmazonS3ClientBuilder;
import com.amazonaws.services.s3.model.*;
import java.io.File;
import java.net.URL;
import java.util.Date;
import java.util.List;
public class S3Util {
private static AmazonS3 s3;
static {
s3 = AmazonS3ClientBuilder.standard().withRegion(Regions.CN_NORTH_1).build();
}
private S3Util() {
}
/*
* Create a new S3 bucket - Amazon S3 bucket names are globally unique
*/
public static Bucket createBucket(String bucketName) {
return s3.createBucket(bucketName);
}
/*
* List the buckets in your account
*/
public static List listBuckets() {
return s3.listBuckets();
}
/*
* List objects in your bucket
*/
public static ObjectListing listObjects(String bucketName) {
return s3.listObjects(bucketName);
}
/*
* List objects in your bucket by prefix
*/
public static ObjectListing listObjects(String bucketName, String prefix) {
return s3.listObjects(bucketName, prefix);
}
/*
* Upload an object to your bucket
*/
public static PutObjectResult putObject(String bucketName, String key, File file) {
return s3.putObject(bucketName, key, file);
}
/*
* Download an object - When you download an object, you get all of the object's metadata and a stream from which to read the contents.
* It's important to read the contents of the stream as quickly as possibly since the data is streamed directly from Amazon S3 and your
* network connection will remain open until you read all the data or close the input stream.
*/
public static S3Object get(String bucketName, String key) {
return s3.getObject(bucketName, key);
}
/*
* Delete an object - Unless versioning has been turned on for your bucket, there is no way to undelete an object, so use caution when deleting objects.
*/
public static void deleteObject(String bucketName, String key) {
s3.deleteObject(bucketName, key);
}
/*
* Delete a bucket - A bucket must be completely empty before it can be deleted, so remember to delete any objects from your buckets before
* you try to delete them.
*/
public static void deleteBucket(String bucketName) {
s3.deleteBucket(bucketName);
}
}
默认,S3对象为私有,只有所有者具有访问权限。但是,对象所有者可以使用自己的安全凭证来创建预签名的URL,授予有限时间内的对象下载许可,从而与其他用户共享对象,收到预签名URL的任何人都可以访问对象。
当创建预签名URL时,必须提供安全凭证、存储桶名称和对象键、HTTP 方法 (指定为GET来下载对象) 和过期时间。
public String generatePresignedUrl(String bucketName, String key, int minutes) {
// Sets the expiration date
Date expiration = new Date();
long expTimeMillis = expiration.getTime();
expTimeMillis += 1000 * 60 * minutes;
expiration.setTime(expTimeMillis);
// Generate the presigned URL.
GeneratePresignedUrlRequest generatePresignedUrlRequest = new GeneratePresignedUrlRequest(bucketName, key).withMethod(HttpMethod.GET).withExpiration(expiration);
URL url = s3.generatePresignedUrl(generatePresignedUrlRequest);
return url.toString();
}
利用Amazon S3 Select,可以使用SQL语句筛选 S3 对象的内容,检索所需的部分数据。Amazon S3 Select 适用于以CSV或JSON格式存储的对象,这些对象可以通过GZIP或BZIP2压缩和服务器端加密。
要求:
限制:
Amazon S3 Select 支持部分SQL,语法如下:
SELECT column_name FROM table_name [WHERE condition] [LIMIT number]
其中table_name为S3Object。
SELECT子句支持*。
文件格式为CSV时,引用列可以使用列编号或列名,列编号从1开始:
select s._1 from S3Object s
Select s.name from S3Object s
使用列名时,程序中必须设置FileHeaderInfo为Use。
可以使用双引号指示列名区分大小写:
SELECT s."name" from S3Object s
不使用双引号列名不区分大小写。
比如,CSV文件内容如下:
username,email
Jason,[email protected]
Coco,[email protected]
SQL语句可以为:
select s.email from S3Object s where s.username='Jason'
更多SQL信息请查看Amazon S3 Select 和 Amazon Glacier Select 的 SQL 参考。
以下示例将查询结果保存在outputPath文件中:
public static void selectCsvObjectContent(String bucketName, String csvObjectKey, String sql, String outputPath) throws Exception {
SelectObjectContentRequest request = generateBaseCSVRequest(bucketName, csvObjectKey, sql);
final AtomicBoolean isResultComplete = new AtomicBoolean(false);
try (OutputStream fileOutputStream = new FileOutputStream(new File(outputPath));
SelectObjectContentResult result = s3.selectObjectContent(request)) {
InputStream resultInputStream = result.getPayload().getRecordsInputStream(
new SelectObjectContentEventVisitor() {
/*
* An End Event informs that the request has finished successfully.
*/
@Override
public void visit(SelectObjectContentEvent.EndEvent event) {
isResultComplete.set(true);
}
}
);
copy(resultInputStream, fileOutputStream);
}
/*
* The End Event indicates all matching records have been transmitted. If the End Event is not received, the results may be incomplete.
*/
if (!isResultComplete.get()) {
throw new Exception("S3 Select request was incomplete as End Event was not received.");
}
}
private static SelectObjectContentRequest generateBaseCSVRequest(String bucket, String key, String query) {
SelectObjectContentRequest request = new SelectObjectContentRequest();
request.setBucketName(bucket);
request.setKey(key);
request.setExpression(query);
request.setExpressionType(ExpressionType.SQL);
InputSerialization inputSerialization = new InputSerialization();
CSVInput csvInput = new CSVInput();
csvInput.setFileHeaderInfo(FileHeaderInfo.USE);
inputSerialization.setCsv(csvInput);
inputSerialization.setCompressionType(CompressionType.NONE);
request.setInputSerialization(inputSerialization);
OutputSerialization outputSerialization = new OutputSerialization();
outputSerialization.setCsv(new CSVOutput());
request.setOutputSerialization(outputSerialization);
return request;
}
Amazon Simple Storage Service Documentation
Working with Amazon S3 Objects
Using the SDK
Programming Examples
Generate a Pre-signed Object URL using AWS SDK for Java
AWS Java Sample
转载于:https://blog.51cto.com/7308310/2307097