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Go is a programming language built to resemble a simplified version of the C programming language.
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Ben Johnson github.com

A distributed SQLite replication system

Ben Johnson is at it again.

LiteFS is a FUSE-based file system for replicating SQLite databases across a cluster of machines. It works as a passthrough file system that intercepts writes to SQLite databases in order to detect transaction boundaries and record changes on a per-transction level in LTX files.

I believe Ben was alluding to this (then unreleased) tool on his recent Ship It! appearance

Go github.com

Comcast simulates trash network connections so you can build better systems

Testing distributed systems under hard failures like network partitions and instance termination is critical, but it’s also important we test them under less catastrophic conditions because this is what they most often experience. Comcast is a tool designed to simulate common network problems like latency, bandwidth restrictions, and dropped/reordered/corrupted packets.

It works by wrapping up some system tools in a portable(ish) way. On BSD-derived systems such as OSX, we use tools like ipfw and pfctl to inject failure. On Linux, we use iptables and tc. Comcast is merely a thin wrapper around these controls.

TFW you come up with the perfect name for your open source project ✨

Matt Holt sourcegraph.com

How Caddy 2 works, a deep dive into the source

Matt Holt (creator of Caddy) gives a deep dive into how the web server works and some of the design decisions and patterns that make it reliable, extensible, and delightful.

One of the interesting things about the design of Caddy is that its core is just configuration management. It pushes out all other functionality into modules so that basically the only thing left in core is accepting and reacting to configuration changes.

gRPC buf.build

A slim library for building browser and gRPC-compatible HTTP APIs

Connect’s creators call it a “better gRPC”, but I am in no position to evaluate that claim so I will leave it as an exercise for you. Here’s what they have to say about it:

Connect is production-ready — focused, simple, and debuggable — and it’s fully compatible with gRPC clients and servers. If you’re frustrated by the complexity and instability of today’s gRPC libraries, we think you’ll find Connect a breath of fresh air.

Go library out now. Connect for TypeScript is “coming soon”

Patrick DeVivo github.com

A fluent GraphQL library for Go

This package wraps the graphql-go/graphql implementation to provide a “fluent” pattern for constructing GraphQL queries in Go. This can be valuable in situations where dynamic queries are desired: when the fields of a GraphQL query (or mutation) are not known until runtime. For most other use cases, plain query strings or a helper library such as this should be sufficient.

I wonder if this would change Mislav’s unpopular GraphQL/Go opinion

Go github.com

jq but using Go instead

The second jq alternative we’ve discovered this week! (first here)

jq is hard to use. There are alternatives like fq and zq, but they still make you learn a new programming language. Im tired of learning new programming languages.

gq is not optimized for speed, flexibility or beauty. gq is optimized for minimal learning/quick usage. gq understands that you don’t use it constantly, you use it once a month and then forget about it. So when you come back to it, gq will be easy to relearn. Just use the builtin library just like you would any other go project and you’re done. No unfamiliar syntax or operations, or surprising limits. Thats it.

I don’t know if Go is a great fit for this use-case, but if you already know it well… makes sense.

The Overflow Icon The Overflow

Comparing Go vs C in embedded applications

On our episode with Brian Kernighan, I asked him if there were ever a situation in which he would advise you start a new program in C today. His response:

I think probably unless you are in one of these resource-constrained environments, clearly, right upfront, that you’re going to be resource-constrained and the improvement of hardware isn’t gonna rescue you in the next couple of years, I would not start with C. I really wouldn’t. And then it depends what is your application.

As if on queue, StackOverflow blogger Marcin Pasinski has done a comparison between C and Go in the quintessential resource-constrained environment. Oddly enough, no mention of TinyGo in the piece, but otherwise a solid analysis.

Ben Johnson github.com

A Postgres wire compatible SQLite proxy

Hot off the press from our friend Ben Johnson:

Postlite is a network proxy to allow access to remote SQLite databases over the Postgres wire protocol. This allows GUI tools to be used on remote SQLite databases which can make administration easier.

The proxy works by translating Postgres frontend wire messages into SQLite transactions and converting results back into Postgres response wire messages. Many Postgres clients also inspect the pg_catalog to determine system information so Postlite mirrors this catalog by using an attached in-memory database with virtual tables. The proxy also performs minor rewriting on these system queries to convert them to usable SQLite syntax.

It appears that Ben is taking code contributions this time around, but only for bug & documentation fixes.

GitHub github.com

HUBFS – a file system for GitHub

HUBFS is a file system for GitHub and Git. Git repositories and their contents are represented as regular directories and files and are accessible by any application, without the application having any knowledge that it is really accessing a remote Git repository. The repositories are writable and allow editing files and running build operations.

So if you hubfs mnt (on macOS/Linux), it will set up a file hierarchy inside /mnt that follows this pattern: / owner / repository / ref / path. Cool idea! It is affected by GitHub’s API rate limiting and I’m not sure if/how it syncs (commits) back to the remote repos…

Samuel Berthe github.com

A Lodash-style Go library using generics

Samuel Berthe:

This project have started as an experiment to discover generics implementation. It may look like Lodash in some aspects. I used to code with the awesome go-funk package, but it uses reflection and therefore is not typesafe.

As expected, benchmarks demonstrate that generics will be much faster than implementations based on reflect stdlib package. Benchmarks also shows similar performances to pure for loops.

Jay Conrod jayconrod.com

Internals of Go's new fuzzing system

Not much has been written yet on how Go’s fuzzing system actually works, so I’ll talk a bit about that here. If you’d like to try it out, Getting started with fuzzing is a great tutorial.

Jay Conrod worked on Go 1.18’s fuzzing feature, so there’s very few people who could write a post as detailed and accurate as this. He also discussed fuzzing in detail with us on Go Time #187.

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