https://arxiv.org/abs/1902.08318

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Computer Science > Databases

arXiv:1902.08318 (cs)
[Submitted on 22 Feb 2019 (v1), last revised 2 Jan 2020 (this
version, v6)]

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)
Journal reference: The VLDB Journal, 28(6), 2019
DOI:               10.1007/s00778-019-00578-5
Cite as:           arXiv:1902.08318 [cs.DB]
                   (or arXiv:1902.08318v6 [cs.DB] for this version)

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)
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