Papers › Parsing Gigabytes of JSON per Second

Parsing Gigabytes of JSON per Second

22 Feb 2019arXiv:1902.08318links table onlyarchive 2025-07-28

Geoff Langdale, Daniel Lemire

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JavaScript Object Notation or JSON is a ubiquitous data exchange format on the Web. Ingesting JSON documents can become a performance bottleneck due to the sheer volume of data. We are thus motivated to make JSON parsing as fast as possible. Despite the maturity of the problem of JSON parsing, we show that substantial speedups are possible. We present the first standard-compliant JSON parser to process gigabytes of data per second on a single core, using commodity processors. We can use a quarter or fewer instructions than a state-of-the-art reference parser like RapidJSON. Unlike other validating parsers, our software (simdjson) makes extensive use of Single Instruction, Multiple Data (SIMD) instructions. To ensure reproducibility, simdjson is freely available as open-source software under a liberal license.

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lemire/simdjson officialmentioned in papermentioned on GitHubpytorch report
simdjson/simdjson_experiments_vldb2019 officialmentioned on GitHub report
EgorBo/SimdJsonSharp mentioned on GitHub report
cran/RcppSimdJson mentioned on GitHub report
eddelbuettel/rcppsimdjson mentioned on GitHub report
simdjson/simdjson mentioned on GitHubpytorch report

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