json-buffet
simdjson-go
json-buffet | simdjson-go | |
---|---|---|
2 | 6 | |
0 | 1,761 | |
- | 0.7% | |
3.0 | 4.0 | |
about 1 year ago | 6 months ago | |
C++ | Go | |
MIT License | Apache License 2.0 |
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json-buffet
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Analyzing multi-gigabyte JSON files locally
And here's the code: https://github.com/multiversal-ventures/json-buffet
The API isn't the best. I'd have preferred an iterator based solution as opposed to this callback based one. But we worked with what rapidjson gave us for the proof of concept.
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Show HN: Up to 100x Faster FastAPI with simdjson and io_uring on Linux 5.19
Ha! Thanks to you, Today I found out how big those uncompressed JSON files really are (the data wasn't accessible to me, so i shared the tool with my colleague and he was the one who ran the queries on his laptop): https://www.dolthub.com/blog/2022-09-02-a-trillion-prices/ .
And yep, it was more or less they way you did with ijson. I found ijson just a day after I finished the prototype. Rapidjson would probably be faster. Especially after enabling SIMD. But the indexing was a one time thing.
We have open sourced the codebase. Here's the link: https://github.com/multiversal-ventures/json-buffet . Since this was a quick and dirty prototype, comments were sparse. I have updated the Readme, and added a sample json-fetcher. Hope this is more useful for you.
Another unwritten TODO was to nudge the data providers towards a more streaming friendly compression formats - and then just create an index to fetch the data directly from their compressed archives. That would have saved everyone a LOT of $$$.
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.
What are some alternatives?
japronto - Screaming-fast Python 3.5+ HTTP toolkit integrated with pipelining HTTP server based on uvloop and picohttpparser.
easyjson - Fast JSON serializer for golang.
semi_index - Implementation of the JSON semi-index described in the paper "Semi-Indexing Semi-Structured Data in Tiny Space"
jstream - Streaming JSON parser for Go
is2 - embedded RESTy http(s) server library from Edgio
jsonparser - One of the fastest alternative JSON parser for Go that does not require schema
reddit_mining
sonic - A blazingly fast JSON serializing & deserializing library
json_benchmark - Python JSON benchmarking and "correctness".
jsonlite - A simple, self-contained, serverless, zero-configuration, json document store.
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
rjson - A fast json parser for go