json-buffet VS semi_index

Compare json-buffet vs semi_index 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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json-buffet semi_index
2 1
0 57
- -
3.0 10.0
about 1 year ago over 11 years ago
C++ C++
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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 $$$.

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.

What are some alternatives?

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

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

jq-zsh-plugin - jq zsh plugin

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

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

reddit_mining

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

json_benchmark - Python JSON benchmarking and "correctness".

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

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

ClickHouse - ClickHouse® is a free analytics DBMS for big data

octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.