-
Notifications
You must be signed in to change notification settings - Fork 2.4k
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
Beam IO module to support incremental tailing of Hoodie Hive/Spark tables #8
Comments
I am from Beam Community. Love to see if there is any process on this issue. Also, I would love to give some my help on this one. |
Hi @vectorijk, the idea here was to see if we can
Then, we could support three style of pipelines : Streaming, Incremental, Batch - to make the spectrum of pipeline latencies more continuous . More here. https://www.oreilly.com/ideas/ubers-case-for-incremental-processing-on-hadoop That said, this is not being actively prioritized. We are mostly focussing on the next generation of hoodie storage/async compactions/usability cleanups and such.. Love to take contributions! we can add a |
[REBASE] rebasing master with latest master from upstream
No description provided.
The text was updated successfully, but these errors were encountered: