Viewing profile — nchammas

I recently shared a similar rationale for why a custom query language can help users even in the age of LLMs. https://nchammas.com/writing/custom-query-language-design#wh... Users …

I don't understand this concern. How exactly are you copy/pasting code such that significant indentation causes "real problems"? I remember the creators of Go explained [1] that th…

There is an old project out of Berkeley called BOOM [1] that developed a language for distributed programming called Bloom [2]. I don't know enough about it to map it to the author…

The examples I'm referring to are in that page I linked to in my comment above. Here's one of them: # Polars df.select( pl.col("foo").sort().head(2), pl.col("bar").sort(descending=…

There is something I don't get about the Polars DataFrame API. https://docs.pola.rs/user-guide/migration/spark/ Look at the examples on this page of the Spark vs. Polars DataFrame …

They _did_ serve the data. From TFA: > To demonstrate its scale, we operated the instance with 100M bots posting 3,500 times per second at 403 average fanout. The linked post about…

This is pretty neat, and it reminds me of my experiment solving the water jug problem from Die Hard 3 using Hypothesis [1] (a Python library for property-based testing). Though I d…

Hypothesis is really a neat library. You can use it to implement stateful testing, which allows you to cover some of the more complex problems that might normally require something…

This idea was briefly addressed in PEP 635 [0]: > _Statement vs. Expression._ Some suggestions centered around the idea of making `match` an expression rather than a statement. How…

That talk by Martin Kleppmann is fantastic. Another, closely related article is "The Log: What every software engineer should know about real-time data's unifying abstraction" by J…

Interesting project! (The interactive slides are cool btw.) Could you share a bit about how engineers express data transformations in Flow? From a quick look at the docs, it doesn'…

Author here. Are you thinking of a specific implementation of materialized views? Most implementations from traditional RDBMSs would indeed be too limiting to use as a general data…

Do you know how sophisticated SQL Server is about updating indexed views? How granular are the locks when, for example, an indexed aggregate is updated? That will have a big impact…

Of the traditional RDBMSs, I believe Oracle has the most comprehensive support for materialized views, including for incremental refreshes [0]. As early as 2004, developers using O…

> If you process data one row at a time, that is clearly a streaming pipeline, but most systems that call themselves streaming actually process data in small batches. From a user p…

> providing analytics and a database type experience over a data lake. It's interesting how the modern data lake is developing in this way, recreating many patterns from the tradit…

> * AWS has a managed Spark offering called EMR There is also my rinky-dink open source project, Flintrock [0], that will launch open source Spark clusters on AWS for you. It's pro…

From the what I understand, the FAGGA basically expands your maxilla forward. Here's a good example [1] that shows the appliance in action. The photos showing the upper jaw after F…