Joined 8 years ago
All of the other languages you bring up are great for authoring code, but have a non-zero amount of friction when running code in the wild. Python may be omnipresent, but you can rarely count on a specific version or the presence of specific libraries. Go requires compiling platform-specific binaries. Even JVM- or JS-based software requires installing a separate toolchain first.
If you want to write some code (e.g., a launcher, installer, utility code, etc...) that is almost certainly going to run on any computing device created in the last several decades, bash is your language.
Is the added investment necessary to scale out specific features, or is it to address challenges related to profitability?
(Albeit based on sorted runs rather than trees, as in the more recent variations of the idea)
From a data modeling and query optimization perspective, however, there's some value in distinguishing attributes uniquely related to identity (e.g., keys, or group-by attributes) and attributes that we're only interested in computing statistics over. This makes it easier to automatically create e.g., data cubes or similar indexes, and many useful statistics can be modeled using a nice mathematical structure like a ring or semiring [1], who's properties (commutativity, associativity, distributivity) are very helpful when optimizing queries.
Classical Datalog, in particular, is entirely based on the former type of attribute; value (dependent) attributes always need to be hacked in, in some way.
Value attributes make it much easier to express most forms of aggregation (sum, min, max), so you'll find very similar patterns in practical datalog variants e.g., RelationalAI's Rel [1], DBToaster's AGCA [2], etc...
Apart from that, and a syntax that seems to resemble map-style collection programming a bit more than datalog, yeah, this basically looks like datalog.
[1] https://docs.relational.ai/getting-started/rel/my-first-rel-... [2] https://dbtoaster.github.io/
It makes sense that creators focus their efforts on cultivating personal relationships with a small, but loyal base. You're not their target demographic.
[1] https://www.nytimes.com/2010/01/14/nyregion/14watchlist.html
The core of NYC has walkable infrastructure and an amazing public transportation infrastructure (at least compared to much of the rest of the country). For those commuting in from suburbs, park-and-rides are already a far more cost-efficient option.
