pggen
pronto
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pggen | pronto | |
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2 | 4 | |
58 | 6 | |
- | - | |
0.6 | 0.0 | |
about 1 month ago | over 3 years ago | |
Go | Java | |
MIT License | MIT License |
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pggen
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We Went All in on Sqlc/Pgx for Postgres and Go
If you want a code generator like this that has support for that kind of thing, https://github.com/opendoor/pggen can automatically infer these kinds of relationships based on foreign key relationships and emit slices of pointers to connect the records together in memory. It can even figure out 1-1 relationships if there is a UNIQUE index on the foreign key. There is a little mini-DSL for specifying exactly how much of the transitive closure of a given record you want to get filled in for you.
pronto
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Buf raises $93M to deprecate REST/JSON
5. Message streaming (gRPC streams are amazing)
I can think of a whole host of features that can be built off of protos (I've even built ORMs off of protobuffs for simple things [0]). The value prop is there IMO. HTTP + json APIs are a local minima. The biggest concerns "I want to be able to view the data that is being sent back and forth" is a tooling consideration (curl ... isn't showing you the voltages from the physical layer, it is decoded). Buff is building that tooling.
[0] - https://github.com/CaperAi/pronto
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Parsing Gigabytes of JSON per Second
I've written translation layers for such systems and it's not too bad. See this project from $job - 1: https://github.com/CaperAi/pronto
It allowed us to have a single model for storage in the DB, for sending between services, and syncing to edge devices.
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gRPC for Microservices Communication
There's no reason you couldn't use gRPC with json as a serialized message format. For example grpc-gateway [0] provides a very effective way of mapping a gRPC concept to HTTP/JSON. The thing is, after moving to gRPC, I've never really felt a desire to move back to JSON. While it may be correct to say "parsing json is fast enough" it's important to note that there's a "for most use cases" after that. Parsing protos is fast enough for even more use cases. You also get streams which are amazing for APIs where you have to sync some large amounts of data (listing large collections from a DB for example) across two services.
With gRPC you also have a standardized middleware API that is implemented for "all" languages. The concepts cleanly map across multiple languages and types are mostly solved for you.
Adding to that you can easily define some conventions for a proto and make amazing libraries for your team. At a previous job I made this: https://github.com/CaperAi/pronto/
Made it super easy to prototype multiple services as if you mock a service backed by memory we could plop it into a DB with zero effort.
I think this "gRPC vs X" method of thinking isn't appropriate here because protos are more like a Object.prototype in JavaScript. They're a template for what you're sending. If you have the Message you want to send you can serialize that to JSON or read from JSON or XML or another propriety format and automatically get a host of cool features (pretty printing, serialization to text/binary, sending over the network, etc).
[0] - https://github.com/grpc-ecosystem/grpc-gateway
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We Went All in on Sqlc/Pgx for Postgres and Go
I attempted to make something similar to this except the opposite direction at a previous job. It was called Pronto: https://github.com/CaperAi/pronto/
It allowed us to store and query Protos into MongoDB. It wasn't perfect (lots of issues) but the idea was rather than specifying custom models for all of our DB logic in our Java code we could write a proto and automatically and code could import that proto and read/write it into the database. This made building tooling to debug issues very easy and make it very simple to hide a DB behind a gRPC API.
The tool automated the boring stuff. I wish I could have extended this to have you define a service in a .proto and "compile" that into an ORM DAO-like thing automatically so you never need to worry about manually wiring that stuff ever again.
What are some alternatives?
pggen - Generate type-safe Go for any Postgres query. If Postgres can run the query, pggen can generate code for it.
simd-json - Rust port of simdjson
sqlparser-rs - Extensible SQL Lexer and Parser for Rust
pike - Generate CRUD gRPC backends from single YAML description.
goqu - SQL builder and query library for golang
sqlite
grpc-gateway - gRPC to JSON proxy generator following the gRPC HTTP spec
gnorm - A database-first code generator for any language
proteus - A simple tool for generating an application's data access layer.
ccgo