AWS中S3JAVASDK怎么用
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S3 JAVA SDK
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。
配置AWS Credentials
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
POM
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
S3基本操作
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 ListlistBuckets() { 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); } }
生成预签名URL
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(); }
从对象中选择内容
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。
S3 Select的要求和限制
要求:
必须拥有所查询的对象的 s3:GetObject 权限。
如果查询的对象已进行加密,则必须使用 https,并必须在请求中提供加密密钥。
限制:
SQL 表达式的最大长度为 256 KB。
结果中记录的最大长度为 1 MB。
SQL语法
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,jason@163.com Coco,coco@163.com
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。
查询CSV文件
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; }
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