org.kuali.maven.wagon
Class S3Utils

java.lang.Object
  org.kuali.maven.wagon.S3Utils

public class S3Utils
extends Object

Constructor Summary

S3Utils()

Method Summary

static void	blockingMultiPartUpload(com.amazonaws.services.s3.model.PutObjectRequest request, com.amazonaws.services.s3.transfer.TransferManager manager) Use this method to reliably upload large files by splitting it up into manageable chunks and using separate threads to upload each chunk.
static void	upload(File file, com.amazonaws.services.s3.model.PutObjectRequest request, com.amazonaws.services.s3.AmazonS3Client client, com.amazonaws.services.s3.transfer.TransferManager manager) Upload a single file to Amazon S3.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

S3Utils

public S3Utils()

Method Detail

upload

public static final void upload(File file,
                                com.amazonaws.services.s3.model.PutObjectRequest request,
                                com.amazonaws.services.s3.AmazonS3Client client,
                                com.amazonaws.services.s3.transfer.TransferManager manager)

Upload a single file to Amazon S3. If the file is larger than 100MB a multi-part upload is used. This splits the file into multiple smaller chunks with each chunk being uploaded in a different thread. Once all the threads have completed the file is reassembled on Amazon's side as a single file again.

blockingMultiPartUpload

public static final void blockingMultiPartUpload(com.amazonaws.services.s3.model.PutObjectRequest request,
                                                 com.amazonaws.services.s3.transfer.TransferManager manager)

Use this method to reliably upload large files by splitting it up into manageable chunks and using separate threads to upload each chunk. Amazon recommends using a multi-part upload on files larger than 100MB. When this method returns all of the upload threads that handle portions of the file have completed. The file has also been reassembled on Amazon S3 and is ready for use.