Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Adding Spark Streaming support #21

Open
blak3mill3r opened this issue May 31, 2015 · 4 comments
Open

Adding Spark Streaming support #21

blak3mill3r opened this issue May 31, 2015 · 4 comments

Comments

@blak3mill3r
Copy link
Contributor

Hi @chrisbetz
Thanks for Sparkling, it's delicious. I just started working with it, and my employer Iris.tv is prepared to use it in production.
I am going to put some effort into Spark Streaming support, and I wonder if you have anything to share about the status of it. I see your note in the code that it is incomplete/experimental. I want to make use of it in production, if possible, so I'm going to try to get it to a point where we'd be comfortable doing that.
So, if you have a little time and you feel like explaining where things are (what works, what doesn't, what's left to be done), I would certainly appreciate it. If not, I will see what I can do on my own and send you PRs.

@blak3mill3r
Copy link
Contributor Author

I played with this some today. My fork at https://github.com/jbtv/sparkling is working (locally) with Spark Streaming 1.3.1. I added support for direct Kafka streams, and implemented filter for DStreams.

When I get around to writing tests for the streaming ns, I'll PR you. Thanks @chrisbetz

@chrisbetz
Copy link
Contributor

Hi Blake,

that's awesome news. As you have seen, I've (almost) no support for Spark Streaming so far. I'm just too busy with the rest. However, extending sparkling to support Spark Streaming (and Dataframes and ML) would be really good.

So, I really appreciate your effort and I'm eagerly awaiting your PRs.

BTW: Would you mind making PRs against the "develop" branch? This is making things a little cleaner in my opinion. Should be just a click away, anyhow ;)

Cheers,

Chris

Am 01.06.2015 um 05:39 schrieb Blake Miller notifications@github.com:

I played with this some today. My fork at https://github.com/jbtv/sparkling is working (locally) with Spark Streaming 1.3.1. I added support for direct Kafka streams, and implemented filter for DStreams.

When I get around to writing tests for the streaming ns, I'll PR you. Thanks @chrisbetz


Reply to this email directly or view it on GitHub.

@AlejandroCatalina
Copy link

Is there any update on bringing ML support to Sparkling? I'd love to switch Python for Clojure as my daily working environment!

Keep the good work!

@timclemons
Copy link

Any follow-up on this? Would really enjoy a more Clojure-like interface for Spark Streaming.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

4 participants