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xiasongh

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xiasongh
·w zeszłym roku·discuss
Has anyone compared ClickHouse and StarRocks[0]? Join performance seems a lot better on StarRocks a few months ago but I'm not sure if that still holds true.

[0] https://www.starrocks.io/
xiasongh
·w zeszłym roku·discuss
Didn't people already do that before, copy and pasting code off stack overflow? I don't like it either but this issue has always existed, but perhaps it is more common now
xiasongh
·2 lata temu·discuss
That's a ridiculous accusation. Swift is not an uncommon adjective.
xiasongh
·2 lata temu·discuss
Which Request for Startup is this? I'm not able to find it
xiasongh
·2 lata temu·discuss
Found this on their website https://github.com/bufbuild/buf
xiasongh
·2 lata temu·discuss
From the article

> Mac mini with M4 starts at $599 (U.S.) and $499 (U.S.) for education. Additional technical specifications are available at apple.com/mac-mini.
xiasongh
·2 lata temu·discuss
CMU's Intro to Database Systems course is one of the best resources. Andy Pavlo has his lectures all up on youtube
xiasongh
·2 lata temu·discuss
They are new grads
xiasongh
·2 lata temu·discuss
> Sequoia buying UFC is really strange, too.

I'm having trouble finding sources for this. I do see that Sequoia Capital China invested in ONE Championship, but not Sequoia and UFC
xiasongh
·2 lata temu·discuss
How does this compare to pg_analytics?

https://github.com/paradedb/pg_analytics
xiasongh
·2 lata temu·discuss
There's key parts left out of that quote that changes the tone quite a bit. Here is the full one

"Programmers waste enormous amounts of time thinking about, or worrying about, the speed of noncritical parts of their programs, and these attempts at efficiency actually have a strong negative impact when debugging and maintenance are considered. We should forget about small efficiencies, say about 97% of the time: premature optimization is the root of all evil. Yet we should not pass up our opportunities in that critical 3%." - Donald Knuth
xiasongh
·2 lata temu·discuss
This might not be a perfect example, but there's a paper by Michael Stonebraker "One size fits all": an idea whose time has come and gone

It might not specifically be DRY, but still related generic vs specialized code/systems.

https://ieeexplore.ieee.org/document/1410100
xiasongh
·2 lata temu·discuss
> By mutable data do you mean - change data coming from OLTP databases?

Yes, exactly! I see there is some kind of support, but is it possible to use the OLTP database as an event source?

For example, say I had a table in my OLTP database, `data.returns`, that had columns `ts`, the event time, and `status`, which can be PENDING or COMPLETED. I'd like to generate point-in-time correct training data, where the feature is the count of completed returns. It seems like all the necessary information to calculate this is there
xiasongh
·2 lata temu·discuss
How does Chronon handle mutable data when backfilling? Or does it make some assumptions on the underlying data?
xiasongh
·2 lata temu·discuss
Unfortunately I haven't solved that issue either and the UI could easily break on updates
xiasongh
·2 lata temu·discuss
I also thought my usage pattern of ChatGPT resembled Jupyter notebooks. I tried to make a chrome extension[0] that adds a code interpreter to ChatGPT, but implemented it in the most naive way, with just pyodide.

I recently learned about Jupyter kernels and realized that was probably what I should've been using to build this out.

I named the extension JPT, combining Jupyter with GPT. I was very proud of myself for that one lol :)

[0] https://chromewebstore.google.com/detail/jpt-chatgpt-code-in...
xiasongh
·2 lata temu·discuss
Are you guys using polars or Data Fusion for any computations?
xiasongh
·2 lata temu·discuss
How does this compare to RisingWave and Materialize?

https://github.com/risingwavelabs/risingwave https://github.com/MaterializeInc/materialize