Hi, hope this is the correct place to ask for help! I've been trying for the last couple of days to upload a file with C# using the Canvas API.
I implemented S3 multi-part upload, both high level and low level version, based on the sample code from and When I uploaded files of size less than 4 GB, the upload processes completed without any problem. When I uploaded a file of size 13 GB, the code started to show IO exception, broken pipes. After retries, it still failed. Here is the way to repeat the scenario.
Take 1.1.7.1 release, • create a new bucket in US standard region • create a large EC2 instance as the client to upload file • create a file of 13GB in size on the EC2 instance. • run the sample code on either one of the high-level or low-level API S3 documentation pages from the EC2 instance • test either one of the three part size: default part size (5 MB) or set the part size to 100,000,000 or 200,000,000 bytes. So far the problem shows up consistently. I attached here a tcpdump file for you to compare. In there, the host on the S3 side kept resetting the socket. Thank you Jason. Unfortunately, Java API does not have the AutoCloseStream attribute for me to set.
I guess it is either designed differently or the underneath stream implementation is different so for the AutoCloseStream attribute. I have tried 5MB and 10MB, 100MB, 200MB, 500MB and 1GB while trying to make this work.
They all pretty much stopped around the same time when about 8GB were uploaded. The tcp stream was closed from server (S3) side based on the tcp dump. When the tcp reset was sent from http server side, the s3client is still holding the socket and sending bytes.
– Mar 15 '11 at 18:12 •.
![Upload Upload](https://d2dybsqaihwlah.cloudfront.net/wp-content/uploads/2017/01/14173423/Screen-Shot-2017-01-30-at-9.41.43-AM-300x211.png)
• • • • • Can I ask you some questions? • Have you ever been forced to repeatedly try to upload a file across an unreliable network connection? In most cases there’s no easy way to pick up from where you left off and you need to restart the upload from the beginning. • Are you frustrated because your company has a great connection that you can’t manage to fully exploit when moving a single large file? Limitations of the TCP/IP protocol make it very difficult for a single application to saturate a network connection.
![Amazon S3 File Upload Api Company Amazon S3 File Upload Api Company](https://grokonez.com/wp-content/uploads/2017/07/SpringBoot-Amazon-S3-MultipartFile-upload-download-architecture.png)
In order to make it faster and easier to upload larger (> 100 MB) objects, we’ve just introduced a new multipart upload feature. You can now break your larger objects into chunks and upload a number of chunks in parallel. If the upload of a chunk fails, you can simply restart it. You’ll be able to improve your overall upload speed by taking advantage of parallelism. In situations where your application is receiving (or generating) a stream of data of indeterminate length, you can initiate the upload before you have all of the data. Using this new feature, you can break a 5 GB upload (the current limit on the size of an S3 object) into as many as 1024 separate parts and upload each one independently, as long as each part has a size of 5 megabytes (MB) or more.
If an upload of a part fails it can be restarted without affecting any of the other parts. Once you have uploaded all of the parts you ask S3 to assemble the full object with another call to S3. Here’s what your application needs to do: • Separate the source object into multiple parts. This might be a logical separation where you simply decide how many parts to use and how big they’ll be, or an actual physical separation accomplished using the or similar (e.g. • Initiate the multipart upload and receive an upload id in return. This request to S3 must include all of the request headers that would usually accompany an S3 PUT operation (Content-Type, Cache-Control, and so forth). • Upload each part (a contiguous portion of an object’s data) accompanied by the upload id and a part number (1-10,000 inclusive).
The part numbers need not be contiguous but the order of the parts determines the position of the part within the object. S3 will return an ETag in response to each upload. • Finalize the upload by providing the upload id and the part number / ETag pairs for each part of the object.