With the new PEG parser this is just a Claude session away in DuckDB.
HN user
rustyconover
https://www.linkedin.com/in/rusty-conover-ba5a6/
Determine and schedule the best windows of your day for running and walking.
DuckDB is awesome and Robin is too!
The next major release of Tributary will support Avro, Protobuf and JSON along with the Schema Registry it will also bring the ability to write to Kafka with transactions.
But really you should get excited for DuckDB Labs to build out materialized views. Materialized views where you can ingest more streaming data to update aggregates. This way you could just keep pushing rows through aggregates from Kafka.
It is going to be a POWER HOUSE for streaming analytics.
Contact DuckDB Labs if you want to sponsor the work on materialized views: https://duckdb.org/roadmap
Where are the server side implementations?
Yet again Hollywood is prescient. This post reminds me of the language of the aliens in Arrival. It seems like the OP would see that as a reasonable input to an LLM.
Thanks for building this!
Using my textplot extension doesn't result in my expected output:
---
install textplot from community;
load textplot;
select tp_bar(0.5)
---
There are so many!
Rill Data - https://www.rilldata.com Summer - https://summer.io Hex - https://hex.tech Evidence - https://evidence.dev
Just remember TINA - "There Is No Alternative."
But come on, there should be an alternative.
Without diversification, we’re just setting ourselves up for an economic rug pull the moment the AI growth hits the law of large numbers and people realize its not the magic they think it is. Economically? Don’t worry it’ll just be another “oops, your 401k lost a bit, here’s a bailout” moment. AKA, stimulus with sprinkles.
So yeah... keep buying those dips girls and boys.
Yellowstone is a national park, you can’t hunt anything inside the park’s boundaries. Wolves can.
I'm not a biologist, but I grew up in West Yellowstone around the time wolves were reintroduced. Their return—and its impact—has been extensively studied by experts far more qualified than me.
That said, I believe wolves had a profound effect on the Yellowstone ecosystem, particularly on elk and deer populations. Before their reintroduction, those species had few natural predators beyond hunters, vehicles, bears, and the occasional mountain lion. The imbalance led to overgrazing and the spread of diseases like Chronic Wasting Disease (CWD) in elk.
Thanks for taking the time to understand the philosophy of the extension.
Only the data source.
Thanks for the compliments!
That’s possible with the arrow extension today.
I'd love to see a 10 minute YouTube video of the capabilities of this product.
Ada was the first language they threw at us in university back in '98. At the time, it felt like learning Latin to become a poet, but looking back, those lessons—rigor, clarity, and discipline—have aged better than some modern frameworks. Ada may not trend on GitHub, but it quietly shaped a generation of better programmers.
This is a great lead up to my talk at DuckCon 6 on Friday in Amsterdam.
It’s title is: “Airport for DuckDB: Letting DuckDB take Apache Arrow Flights”
You can stream it at: https://duckdb.org/events/2025/01/31/duckcon6/
You’ll see how DuckDB can integrate with Arrow Flight for reading/writing/creating tables, scalar user defined functions, table returning functions, table in/out streaming functions, row/column filtering and anything else I can breeze through in 15 minutes.
It all starts with a single call to ATTACH with the URL of the Arrow Flight server.
As the author I'm happy to answer any questions. I'm glad you like the idea of the extension.
| We are excited to announce that we have agreed to acquire Tabular, Inc, a data management company founded by Ryan Blue, Daniel Weeks, and Jason Reid. This acquisition brings the original creators of Apache Iceberg™ and those of Linux Foundation Delta Lake, the two leading open source lakehouse formats, together.
DataBricks has bought out Tabular which gives them more influence over Iceberg's future path.
Percentages without a scale of the absolute value aren’t that easy to interpret.
Sure, you’re telling me the slope is steep compared to being flat, but is it the side of an ant hill or the Himalayan mountains? Both can be very steep, relatively.
If you're looking for a debate against ZStandard, its hard to argue against it.
ZStandard is Pareto optimal.
For the argument why, I really recommend this investigation.
https://insanity.industries/post/pareto-optimal-compression/
What if a slow moving sailboat came across this plane’s path? If it is using ground effect it couldn’t climb much.
Prophet is not my favorite time series forecasting package. I agree with the author’s findings.
Microprediction.com (the site that wrote this article) is a great place to win monthly cash prizes for actually providing forecast accuracy, the twist is you have to provide your forecast as a sample of 225 points from a forecast distribution rather than just providing a point forecast. This makes participation “interesting”.
Also to win you have to be more accurate than everything and everyone else that is providing predictions.
Turing.jl[1] is quite usable and isn't slow[2].
[1] https://turing.ml/dev/ [2] - https://arxiv.org/abs/2002.02702
I'd just build my own HLS setup with Cloudfront and one of those encoders with MediaLive.
I think you'd be surprised how efficient video codecs with regards to bandwidth used, nobody sends raw pixels at all. Also with HLS latency can be very short with the right settings.
A few tips for coding screencasting:
For coding screencasts you should make sure that chroma subsampling isn't enabled when you're doing the encode of the video otherwise it may look worse with highly contrasting areas.
Decrease the encoding frame rate if its primarily going to be just a screencast without a lot of motion on the screen. At the expense longer mpeg segments (and more latency) you may want to increase the group-of-picture size.
There shouldn't be a reason that the encoded screencast looks worse then how it appeared to you unless the encoder you are using is just mashing the quality down.
PostgreSQL does offer insights into the plan. Just put EXPLAIN before your query.
The percentage of state and federal taxes per gallon is becoming significant. So there is some floor at the pump.
Top question: Is the keyboard a butterfly keyboard or is it more like the new MacBook Pro's 16 inch keyboard?