trustfall VS ArangoDB

Pleasantly surprised to see Predrag show up as a reviewer, but at the same time not at all surprised:

- The [Firebase technical screen](https://startupandrew.com/posts/how-firebase-interviewed-sof...) would have been much easier with something like this, as it was Just Another Optimization Problem™. Part of me wants to try it again with Picat!

- He's doing other very interesting things with programming languages, e.g.: https://github.com/obi1kenobi/trustfall

Email: [email protected]

Hi, I'm u9g. I'm looking for an internship for either this winter (in a few weeks) or a summer internship!

Some things I've done:

I integrated a [query engine for lints](https://github.com/obi1kenobi/trustfall) (and contributed optimizations) into [OXC](https://github.com/oxc-project/oxc) (a new Rust-based Javascript Linter).

I wrote [several](https://github.com/u9g/money-lens) [toy](https://github.com/u9g/quickquestion/tree/main/extension) languages and syntax highlighting for them.

I also wrote a [js-to-scheme transpiler](https://github.com/u9g/js2scheme/blob/main/example.js).

Happy to work on things compiler or database oriented, but also happy to learn something new!

If you'd like to dig deeper, here are some links:

- cargo-semver-checks: https://github.com/obi1kenobi/cargo-semver-checks

- Trustfall query engine, which powers cargo-semver-checks: https://github.com/obi1kenobi/trustfall

- Trustfall playground, where you can query Rust library APIs in your browser -- for example, "which structs in `itertools` are importable by more than one path": https://play.predr.ag/rustdoc#?f=2&q=*3-Structs-importable-f...

- 10min conference talk on Trustfall: https://www.hytradboi.com/2022/how-to-query-almost-everythin...

I'm also giving a talk at P99 CONF in a few months about how Trustfall's new optimizations API made cargo-semver-checks over 2300x faster: https://twitter.com/PredragGruevski/status/16893002495908003...

No worries!

Trustfall is even more general than semver actually, one can use it to query any data source -- even HN itself:

https://play.predr.ag/HackerNews

Here's a link to that project if you'd like to check it out:

https://github.com/obi1kenobi/trustfall

I gave a 10min conference talk on it last year titled "How to query (almost) everything"

https://www.hytradboi.com/2022/how-to-query-almost-everythin...

I've had my eye on Taxi for a while, and it's neat! I agree that the problems it aims to solve are real and painful in real life.

In my experience, I'm not sure people care about schemas or schema languages — they are just implementation details best left under the hood. This is why in my own work, I started on the query end of the spectrum instead.

This is why I built Trustfall, a query engine able to query any data source: DBs, APIs, files like PDF, CSV, or JSON, or any combination of those.

GitHub: https://github.com/obi1kenobi/trustfall

Playground showing the query "which GitHub/Twitter users comment on HackerNews stories about OpenAI?": https://play.predr.ag/hackernews#?f=1&q=IyBDcm9zcyBBUEkgcXVl...

Here's an example adapter for querying RSS/Atom feeds. Here's an example adapter for querying the HackerNews APIs. Both projects also include a schema and example queries which you can run.

ArangoDB

... or working in an environment or on a problem for which functional patterns apply.

Suppose you are writing a "CRUD" app that writes to a relational database, how do you apply functional programming to that? The whole point of an application like that is that it makes side effects.

In some cases you can break those problems down into functional pieces. Consider Python drivers for a product like

https://www.arangodb.com/

One major problem is that you want drivers that work synchronously and asynchronously, the structure of the average api call is something like

   def query(parameters):

First, you need to choose a specific graph database platform to work with, such as Neo4j, OrientDB, JanusGraph, Arangodb or Amazon Neptune. Once you have selected a platform, you can then start working with graph data using the platform's query language.

Some databases like ArangoDB (https://www.arangodb.com/) allow you to use Javascript instead of SQL.

However, using a type-unsafe, turing-complete language introduces type unsafety and turing-complete problems to the query layer; the usual problems we know and love, such as infinite loops, runtime type errors, exceptions, and the like.

Personally, I'm looking forward to a WASM runtime for databases -- so we can run webassembly on the database. This COULD be carefully designed to be statically checked and, possibly, make it really hard to write runaway loops.

When it comes to graphdb's, my favorite is still ArangoDB, definitely worth checking out if you are looking for alternatives.

https://www.arangodb.com

Personally my favorite db for pet projects is

https://www.arangodb.com/

I think you hear very little about it because ADB users see it as a "secret weapon" to crush their competitors with. I've done large ontology work (MESH and other health ontologies) and IoT work (keep several years of sensor readings for sensors in my house) and workflow systems (select interesting HN articles or jobs I want to apply to) and it has never let me down. I haven't run a real instance serving customers in the cloud though.

For the last few years every eng manager I have worked with has been a fan of

https://www.postgresql.org/

In the early 2000s I thought it overpromised and underdelivered and called it CrashGreSlow but after MySQL got bought by Oracle the pgsql team has worked hard to improve it I think it is great today. It supports all kinds of advanced features such as stored procs, full-text search, JSON equivalent fields, etc.

Hi! I recently came across ArangoDb and used in some POCs, but I really want to know if someone here already used it in a Real World environment or even if chose to not use in a production environment. So... have you ever used ArangoDb? Why? Why not?

For mutual friends, we can build a social graph for every user. Each node in the graph will represent a user and a directional edge will represent followers and followees. After that, we can traverse the followers of a user to find and suggest a mutual friend. This would require a graph database such as Neo4j and ArangoDB.

ArangoDB

This a NOSQL database built for high availability and high scalability, a perfect fit for implementing persistence in microservices. ArangoDB is an open source native multi-model database that supports graph, document and key-value data models allowing users to freely combine all data models in a single query. Dive deeper into this database and its features here.