simdjson-go
ucall
| simdjson-go | ucall | |
|---|---|---|
| 6 | 13 | |
| 1,761 | 994 | |
| 0.7% | 2.0% | |
| 4.0 | 6.4 | |
| 6 months ago | 24 days ago | |
| Go | C | |
| Apache License 2.0 | Apache License 2.0 |
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simdjson-go
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Show HN: Up to 100x Faster FastAPI with simdjson and io_uring on Linux 5.19
Speaking of Go, there's a simdjson implementation for golang too:
> Performance wise, simdjson-go runs on average at about 40% to 60% of the speed of simdjson. Compared to Golang's standard package encoding/json, simdjson-go is about 10x faster.
I haven't tried it yet but I don't really need that speed.
https://github.com/minio/simdjson-go
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How to Use AVX512 in Golang
I agree. For performance-sensitive situations, C/C++ or Rust is the only choice. However, many developers choose Go or other languages for engineering efficiency. A typical use case of SIMD in Go is simdjson-go. Besides, there are plenty of bindings and ports of simdjson. "Other languages" developers also need performance improvement from native instructions such as SIMD.
- Sonic: A fast JSON serializing and deserializing library
- Whats the fastest JSON unmarshaling package as of right now?
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What is the best solution to unique data in golang
I suggest to use a streaming library to parse your file. Like jstream or simdjson-go
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I wrote yet another json parser. It may be a contender for fastest.
You can also try comparing with https://github.com/minio/simdjson-go. It does use a different API, however, would be good to compare nevertheless.
ucall
- Show HN: U)Search Images demo in 200 lines of Python
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Faster JSON-RPC on Linux kernel 5.19+ with io_uring and simdjson
Type checking was included, and union support is trivial to add. We have just added a feature request and will release it in a few days.
- FLiP Stack Weekly for 13 March 2023
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Show HN: Up to 100x Faster FastAPI with simdjson and io_uring on Linux 5.19
You are right! For the convenience of Python users, we have to introspect the messages and parse JSON into Python objects. Every member of every dictionary being allocated on heap.
To make it as fast as possible we don't use PyBind, NanoBind, SWIG, or any high-level tooling. Our Python bindings are a pure CPython integration. There is just no way to beat that combo, not that I know.
https://github.com/unum-cloud/ujrpc/blob/main/src/python.c
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Lightweight RPC with `simdjson` and `io_uring` on Linux 5.19 and newer
TLDR: UJRPC reaches 230K TCP/IP round-trips per second on 1 socket. Faster than gRPC and much faster than FastAPI.
- Up to 100x Faster FastAPI with simdjson and io_uring on Linux 5.19+
What are some alternatives?
easyjson - Fast JSON serializer for golang.
frontman - Frontman is an open-source API gateway written in Go that allows you to manage your microservices and expose them as a single API endpoint. It acts as a reverse proxy and handles requests from clients, routing them to the appropriate backend service.
jstream - Streaming JSON parser for Go
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
jsonparser - One of the fastest alternative JSON parser for Go that does not require schema
japronto - Screaming-fast Python 3.5+ HTTP toolkit integrated with pipelining HTTP server based on uvloop and picohttpparser.
sonic - A blazingly fast JSON serializing & deserializing library
simdjson - Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
jsonlite - A simple, self-contained, serverless, zero-configuration, json document store.
FrameworkBenchmarks - Source for the TechEmpower Framework Benchmarks project
rjson - A fast json parser for go
Muonbase - Document Database