jsoniter
pronto
jsoniter | pronto | |
---|---|---|
3 | 4 | |
1,502 | 6 | |
1.0% | - | |
0.0 | 0.0 | |
3 months ago | over 3 years ago | |
Java | Java | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
jsoniter
-
The state of Java Object Serialization libraries in Q2 2023
What about jsoniter?
-
Why is json logging the “standard”?
If JSON decoding ever becomes a bottleneck, use https://jsoniter.com/ . Even fhe drop-in replacement API is faster than the stdlib. If you need absolute insane performance, use the streaming API.
-
Parsing Gigabytes of JSON per Second
Protobuf parsing is slower than an optimized json library, e.g. https://jsoniter.com/
pronto
-
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
-
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.
-
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
-
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?
Jackson - Core part of Jackson that defines Streaming API as well as basic shared abstractions
simd-json - Rust port of simdjson
Gson - A Java serialization/deserialization library to convert Java Objects into JSON and back
pike - Generate CRUD gRPC backends from single YAML description.
simdjson - Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
sqlparser-rs - Extensible SQL Lexer and Parser for Rust
Moshi - A modern JSON library for Kotlin and Java.
grpc-gateway - gRPC to JSON proxy generator following the gRPC HTTP spec
HikariJSON - High-performance JSON parser
pggen - A database first code generator focused on postgres
Jackson-datatype-money - Extension module to properly support datatypes of javax.money
sqlite