Just adding one more item to the discussion. I believe this was announced
on the list some time ago. I haven't tried it out yet, just pointing it out
since it's on the OP's topic:

http://pithos.io/

It's a Cassandra-backed object store using an S3 API.

On Tue, Jan 19, 2016 at 2:07 PM, Richard L. Burton III <mrbur...@gmail.com>
wrote:

> I would ask why do this over say HDFS, S3, etc. seems like this problem
> has been solved with other solutions that are specifically designed for
> blob storage?
>
> On Tue, Jan 19, 2016 at 4:23 PM, <l...@airstreamcomm.net> wrote:
>
>> I recently started noodling with this concept and built a working blob
>> storage service using node.js and C*.  I setup a basic web server using the
>> express web server where you could POST binary files to the server where
>> they would get chunked and assigned to a user and bucket, in the spirit of
>> S3.  Then when you retrieved the file with a GET it would reassemble the
>> chunks and push it out.  What was really nice about node.js is I could
>> retrieve all the chunks in parallel asynchronously.  It was just for fun,
>> but we have considered fleshing it out for use in our organization.  Here
>> is the schema I developed:
>>
>> CREATE TABLE object.users (
>>     name text PRIMARY KEY,
>>     buckets set<text>,
>>     password text
>> );
>>
>> CREATE TABLE object.objects (
>>     user text,
>>     bucket text,
>>     name text,
>>     chunks int,
>>     id uuid,
>>     size int,
>>     type text,
>>     PRIMARY KEY ((user, bucket), name)
>> );
>>
>> CREATE TABLE object.chunks (
>>     file_id uuid,
>>     num int,
>>     data blob,
>>     PRIMARY KEY (file_id, num)
>> );
>>
>> For your purposes you could modify the objects table to keep a revision
>> id or timeuuid for looking at previous versions.  If you want some insight
>> into how the code worked give me a shout.
>>
>
>
>
> --
> -Richard L. Burton III
> @rburton
>



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