zls VS tigerbeetle

There is no official documentation but the standard library provides definitions for the exchange format and an incomplete set of function for exchanging messages in Client.zig and Server.zig. You can find examples of the zig compile server in action in my PR for ZLS and a showcase of hot-code-swapping by kubkon. The code that implements the ZCS in the zig codebase can be found here.

Same experience here, I did file a bug about it too: https://github.com/zigtools/zls/issues/1139

Welcome to the word of new languages, I think rust just got an intellij plugin late last year and its been in 1.0 since 2015 (not to mention the years of hype around it). When it comes to "non standard" languages (meaning not the industries current go to for a given niche), it helps to assume there's no "It's just works" type editor support. Luckily most languages, even new ones have LSP servers including zig, and editors like VSCode make it pretty simple to use them.

For the people who come in the future and want to know how to do it, here is the code as of today (at some point it will be in ZLS repository - github.com/zigtools/zls - and you should take a look there too to see more up-to-date code).

Commands: git clone --recurse-submodules https://github.com/zigtools/zls cd zls zig build -Drelease-safe

> Building is slow. It takes about ~3 seconds minimum which is frustratingly slow when I'm fighting basic syntax errors. I wish there was a fast zig check.

> Lack of zig-analyzer makes learning hard.

> zig fmt src/main.zig is nice. Wish it automatically ran on all files.

I also did (well, "am doing", can only work a bit each day and am plugging through day 7 right now) AdventOfCode in Zig this year.

These points here didn't resonate with me at all. I wonder if the author knew about or tried ZLS[0]. I had it on and integrated with my VSCode and it would check a lot of things as I went and format on save. I think I followed something like this[1] to set it up.

[0] https://github.com/zigtools/zls

cd $HOME/.local/zls && curl -L https://github.com/zigtools/zls/releases/download/0.9.0/x86_64-macos.tar.xz | tar -xJ --strip-components=1 -C .

Indeed!

I was so glad to see you cite not only the Rebello paper but also Protocol-Aware Recovery for Consensus-Based Storage. When I read your first comment, I was about to reply to mention PAR, and then saw you had saved me the trouble!

UW-Madison are truly the vanguard where consensus hits the disk.

We implemented Protocol-Aware Recovery for TigerBeetle [1], and I did a talk recently at the Recurse Center diving into PAR, talking about the intersection of global consensus protocol and local storage engine. It's called Let's Remix Distributed Database Design! [2] and owes the big ideas to UW-Madison.

[1] https://github.com/coilhq/tigerbeetle

[2] https://www.youtube.com/watch?v=rNmZZLant9o

> It sounds like payments might be part of the larger concept of declarative programming (DP)

Yes, exactly! The idea with TigerBeetle's state machine [1] is to expose double-entry accounting as higher level financial primitives, so that developers can think in terms of declaring transfers from one account to another. The business logic behind the scenes is detailed, but the interfaces and data structures are simple.

[1] https://github.com/coilhq/tigerbeetle/blob/main/src/state_ma...

> Maybe TigerBeetle could be generalized to support any multi-step distributed process?

That's part of the plan, that the distributed database framework of TigerBeetle can be used as a ”distributed Iron Man suit” to support any kind of state machine.

It's a pleasure. Let me know if you have any more questions about TigerBeetle. Our design doc is also here: https://github.com/coilhq/tigerbeetle/blob/main/docs/DESIGN....

Surprisingly, some of the most powerful distributed systems algorithms or tools are actually deterministic. They're powerful because they can "load the dice" and so make the distributed system more intuitive for humans to reason about, more resilient to real world network faults, and do all this with more performance.

For example, Barbara Liskov and James Cowling's deterministic view change [1], which isn't plagued by the latency issues of RAFT's randomized dueling leader problem. Viewstamped Replication Revisited's deterministic view change can react to a failed primary much quicker than RAFT (heartbeat timeouts don't require randomized "padding" as they do in RAFT), commence the leader election, and also ensure that the leader election succeeds without a split vote.

Determinism makes all that possible.

Deterministic testing [2][3] is also your best friend when it comes to testing distributed systems.

[1] I did a talk on VSR, including the benefits of the view change — https://www.youtube.com/watch?v=Wii1LX_ltIs

[2] FoundationDB are pioneers of deterministic testing — https://www.youtube.com/watch?v=OJb8A6h9jQQ

[3] TigerBeetle's deterministic simulation tests — https://github.com/coilhq/tigerbeetle#simulation-tests

This is the chasm problem, where people don't use a technology because people aren't using that technology, thus the technology has difficulty gaining adoption. I did see that Zig does have it's own killer app and startup that's using Zig: TigerBeattle.

Control flow statements should always be on their own lines, then it's easy to find all of them by visually scanning top-down, without needing to look all the way down each line.

[1]: https://github.com/coilhq/tigerbeetle/blob/main/src/vsr/repl...

> In hindsight, data logic should be in the database itself.

This is the reason we are creating TigerBeetle [1] at Coil, as an open source distributed financial accounting database, with the double entry logic and financial invariants enforced through financial primitives within the database itself.

This is all the more critical for financial data, because raw data consistency is not enough for financial transactions, you also need financial consistency, not to mention immutability.

The performance of doing it this way is also easier. For example, around a million financial transactions per second on commodity hardware, with p100 latency around 10-20ms.

[1] https://github.com/coilhq/tigerbeetle

You probably already know this — because we’ve mentioned it a few times — but Coil champions and supports open-source projects and is privacy-first, by default. Over the years, Developer Relations at Coil has championed and sponsored teams that write Open Web Documentations and projects that empower open-source developers to get paid. Coil has also incubated many open-source projects like Tigerbeetle and Rafiki.

[6] Partial logical sector reads/writes even when using O_DIRECT — https://github.com/coilhq/tigerbeetle/blob/main/src/storage....