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. [...]
Related
Which DB is better for storing images in a photo-sharing application?
We don't recommend storing images directly in Cassandra. Most companies (they're household names you'd know very well and likely using their services) store images/videos/media on an object store like AWS S3 and Google Cloud Store.
Only the metadata of the media are stored in Cassandra for very fast retrieval -- S3 URL/URI, user info, media info, etc.
The advantage of using Cassandra is that it can be deployed to a hybrid combination of public clouds so you're not tied to one vendor. Being able to distribute your Cassandra nodes across clouds means that you can get as close as possible to your users. Cheers!
AWS S3 is an object storage service that works very well for unstructured data. It offers infinite store where the size of an object is restricted to 5TB. S3 is suitable for storing large objects.
DynamoDB is a NoSQL, low latency database which is suitable for semi-structured data. DynamoDB uses cases are usually where we want to store large number of small records and have a millisecond latency, DynamoDB record size limit is 400KB
For a photosharing application, you need Both S3 and DynamoDB. S3 acts as a storage, DynamoDB is your Database which lists all galleries, files, timestamps, captions, users etc
You can store photos in Amazon S3, but photo's metadata in someother database.
Amazon S3 well suited for any objects for large size as well.
What are options to create solution based on the AWS native platform to be able to full text search in an amazon s3 bucket/s.
We have process that will be storing daily 100+ of text files ranging from 100K to 150 MB that we need to retain for 1-2 years. We want to have an ability to be able to full text search.
The Amazon S3 management console does not search inside objects. It is purely filtering on the filename ("Key") of the objects in the bucket.
If you wish to search inside objects, then you will need to implement other services such as Amazon Kendra or Elasticsearch that will read and index objects.
Amazon S3 is a "Simple Storage Service". It provides highly scalable and reliable storage, but any higher-level functions such as search need to be implemented "on top" of S3. Just think of S3 as a huge, amazingly powerful hard disk that is connected to the Internet. (Sort of.)
Is exists any way to get available free space in Ceph cluster from amazon S3 API?
I need to implement automatic deletion of outdated objects from bucket when Ceph cluster has no space to store new objects. I know exists ways to calculate used space in bucket, but its logic data size and I can't compare them to raw size of cluster disks.
From S3 perspective you can't check free space.
Ceph has implemented expiration mechanism, which will delete outdated objects from your object storage.
Check the doc: http://docs.ceph.com/docs/master/radosgw/s3/#features-support
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.
My requirement to upload large file (35gb), when the upload is in progress need to start the download process on the same file. Any storage service which allows develop .net application
Because Amazon s3 will not allow simultaneously upload and download on
You could use Microsoft Azure Storage Page or Append Blobs to solve this:
1) Begin uploading the large data
2) Concurrently download small ranges of data (no greater than 4MB so the client library can read it in one chunk) that have already been written to.
Page Blobs need to be 512 byte aligned and can be read and written to in a random access pattern, whereas AppendBlobs need to be written to sequentially in an append-only pattern.
As long as you're reading sections that have already been written to you should have no problems. Check out the Blob Getting Started Doc: https://azure.microsoft.com/en-us/documentation/articles/storage-dotnet-how-to-use-blobs/ and some info about Blob Types: https://msdn.microsoft.com/library/azure/ee691964.aspx
And feel free to contact us with any follow up questions.