We have a input stream which need to be written to S3. This stream has large data and I cannot keep it in memory. We don't want to write to local disk and then transfer to S3 because of security reasons.
Is there a way to stream data to s3 object?
I think our problem can be solved using s3 multipart upload. But, that is used for different purpose - uploading large files. Instead is there a out of the box way to stream data to s3?
This stream has large data and I cannot keep it in memory.
So multipart upload is the correct way to solve this.
Related
I have a huge ORC object ( > 50GB) in S3. I would like to deserialize it in chunks (in a streaming manner). This allows me to retry from last offset in case of S3 file download failures.
I understand ORC stores metadata as a footer. So, I'm looking for some solution that reads the footer first, followed by chunked deserializing.
s3 supports querying for specific file ranges over their http api. Assuming you know your stripe size ahead of time, you can use the api to get filesize. You can calculate the postscript offset, and download only it as a chunk. With that metadata, you can then start pulling in the remainder of the file. It'd probably be best to do several requests, one for each stripe, and decode them concurrently.
I'm trying to send all my AWS IoT incoming sensor value messages to the same s3 bucket, but despite turning on versioning in my bucket, the file keeps getting overwritten and showing only the last input sensor value rather then all of them. I'm using "Store messages in an Amazon S3 bucket" direct from the AWS IoT console. Any easy way to solve this problem?
So after further research and speaking with Amazon Dev support you actually cant append records tot he same file in S3 from the IoT console directly. I mentioned this was a feature most IoT developers would want as a default, and he said it would likely be possible soon but not way to do it now. Anyway the simplest workaound I tested is to set up a Kinesis stream with a firehose to a S3 bucket. This will be constrained by an adjustable data size and stream duration but it works well otherwise. It also allows you to insert a Lambda functino for data transform if needed.
I wanted to know if it would be possible to stream video while you are uploading it.
For example I have a 100MB video uploading to s3, the first 50MB are uploaded, so can a client start reproducing the video through cloudfront even tho it's not yet fully uploaded?
Or does S3 first wait for the upload to completely finish, then assemble the video file, and then publish it?
Thanks!
S3 provides read-after-write consistency for PUTS of new objects. The data will not be able to read until the write is complete.
Amazon S3 provides read-after-write consistency for PUTS of new
objects in your S3 bucket in all regions with one caveat. The caveat
is that if you make a HEAD or GET request to the key name (to find if
the object exists) before creating the object, Amazon S3 provides
eventual consistency for read-after-write.
S3 consistency model
Here is an example for me trying to understand the under the hood mechanism.
I decide to upload a 2GB file onto my S3 bucket, and I decide to use the size of 128MB for the parts. Then I will have
(2 * 1024) / 128 => 16 parts
Here are my questions:
Am I going to see 16 128MB objects in my bucket or a single 2GB
object in my bucket?
How can S3 understand the order of the parts (1->2->...->16) and
reassemble them into a single 2GB file when I download them back? Is
there an extra 'meta' object (see the above question) that I need to download first to help the client to achieve this reassembling-needed information?
When the s3 client download the above in parallel, at what time does it write the file descriptor for this 2GB file in the local file system (I guess it does not know all the needed information before all the parts have been downloaded)?
While uploading the individual parts, there will be multiple uploads stored in Amazon S3 that you can view with the ListMultipartUploads command.
When completing a multipart upload with the CompleteMultipartUpload command, you must specify a list of the individual parts uploaded in the correct order. The uploads will then be combined into a single object.
Downloading depends upon the client/code you use -- you could download an object in parallel or just single-threaded.
What is the size of data that can be sent using the GET PUT methods to store and retrieve data from amazon s3 cloud and I would also like to know where I can learn more about the APIs available for storage in Amazon S3 other than the documentation that is already provided.
The PUT method is addressed in the respective Amazon S3 FAQ How much data can I store?:
The total volume of data and number of objects you can store are
unlimited. Individual Amazon S3 objects can range in size from 1 byte
to 5 terabytes. The largest object that can be uploaded in a single
PUT is 5 gigabytes. For objects larger than 100 megabytes, customers
should consider using the Multipart Upload capability. [emphasis mine]
As mentioned, Uploading Objects Using Multipart Upload API is recommended for objects larger than 100MB already, and required for objects larger than 5GB.
The GET method is essentially unlimited. Please note that S3 supports the BitTorrent protocol out of the box, which (depending on your use case) might ease working with large files considerably, see Using BitTorrent with Amazon S3:
Amazon S3 supports the BitTorrent protocol so that developers can save
costs when distributing content at high scale. [...]