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Computer Science > Databases

arXiv:1902.08318 (cs)
[Submitted on 22 Feb 2019 (v1), last revised 23 Jul 2024 (this version, v7)]

Title:Parsing Gigabytes of JSON per Second

Authors:Geoff Langdale, Daniel Lemire
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Abstract: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.
Comments: software: this https URL
Subjects: Databases (cs.DB); Performance (cs.PF)
Cite as: arXiv:1902.08318 [cs.DB]
  (or arXiv:1902.08318v7 [cs.DB] for this version)
  https://doi.org/10.48550/arXiv.1902.08318
arXiv-issued DOI via DataCite
Journal reference: The VLDB Journal, 28(6), 2019
Related DOI: https://doi.org/10.1007/s00778-019-00578-5
DOI(s) linking to related resources

Submission history

From: Daniel Lemire [view email]
[v1] Fri, 22 Feb 2019 00:24:01 UTC (960 KB)
[v2] Mon, 25 Feb 2019 19:45:23 UTC (642 KB)
[v3] Mon, 17 Jun 2019 21:51:55 UTC (962 KB)
[v4] Tue, 13 Aug 2019 00:34:45 UTC (1,944 KB)
[v5] Mon, 30 Dec 2019 23:10:47 UTC (1,944 KB)
[v6] Thu, 2 Jan 2020 14:56:46 UTC (1,944 KB)
[v7] Tue, 23 Jul 2024 21:56:05 UTC (1,944 KB)
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