-
Notifications
You must be signed in to change notification settings - Fork 1.3k
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
Blog post about datafusion 16 release #4804
Comments
Is Substrait worth mentioning as a future direction? |
Came here to say the same thing. I think we should definitely talk about substrait. I can help with some content around that. |
I would like to also talk about the Python bindings, even though they are released separately. Maybe an update on TPC-H support as well. |
Great -- I'll try and get a draft up in the next few days if no one else beats me to it, and we can work on the content there |
I would love to try and help / encourage a community there as it seems a great way to get more people using DataFusion |
Sounds great. Another point to touch on could be the recently-improved streaming/incremental execution capabilities. We (the Synnada team) will be continuing to focus on this area in the near future, so even more improvements are coming! |
Also add somethign about benchmarking from @rdettai https://www.cloudfuse.io/dashboards/standalone-engines |
Here is a draft post we can use to collaborate on: apache/arrow-site#294 |
Rendered site: Rendered: https://arrow.apache.org/blog/2023/01/19/datafusion-16.0.0/ |
As part of the 16.0.0 release I would like to write a blog about datafusion on https://arrow.apache.org/blog/ (source at https://github.com/apache/arrow-site)
I am thinking about a basic theme like datafusion is leading the charge to bring advanced OLAP technology everywhere
I would like to highlight the theme summarized by Andy Pavlo in https://ottertune.com/blog/2022-databases-retrospective/
Some supporting evidence:
New features:
Future directions:
1 .Improved grouping / sorting performance
2. RLE (Run End Encoding support
etc
Here is the most recent blog about datafusion I know about https://arrow.apache.org/blog/2022/10/25/datafusion-13.0.0 -- source at https://github.com/apache/arrow-site/blob/master/_posts/2022-10-25-datafusion-13.0.0.md
Please leave comments with your suggestions / ideas!
The text was updated successfully, but these errors were encountered: