semi_index VS json-buffet

Compare semi_index vs json-buffet and see what are their differences.

semi_index

Implementation of the JSON semi-index described in the paper "Semi-Indexing Semi-Structured Data in Tiny Space" (by ot)
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semi_index json-buffet
1 2
57 0
- -
10.0 3.0
almost 12 years ago over 1 year ago
C++ C++
GNU General Public License v3.0 or later MIT License
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semi_index

Posts with mentions or reviews of semi_index. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-18.

json-buffet

Posts with mentions or reviews of json-buffet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-18.
  • Analyzing multi-gigabyte JSON files locally
    14 projects | news.ycombinator.com | 18 Mar 2023
    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.

  • Show HN: Up to 100x Faster FastAPI with simdjson and io_uring on Linux 5.19
    20 projects | news.ycombinator.com | 6 Mar 2023
    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 $$$.

What are some alternatives?

When comparing semi_index and json-buffet you can also consider the following projects:

jq-zsh-plugin - jq zsh plugin

japronto - Screaming-fast Python 3.5+ HTTP toolkit integrated with pipelining HTTP server based on uvloop and picohttpparser.

json-toolkit - "the best opensource converter I've found across the Internet" -- dene14

is2 - embedded RESTy http(s) server library from Edgio

reddit_mining

json_benchmark - Python JSON benchmarking and "correctness".

json-streamer - A fast streaming JSON parser for Python that generates SAX-like events using yajl

xsv - A fast CSV command line toolkit written in Rust.

lnav - Log file navigator

Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing

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