Blaze: Compiling JSON Schema for 10x Faster Validation

JSON Schemas provide useful guardrails for developers of Web APIs to guarantee that the semi-structured JSON input provided by clients matches a predefined structure. This is important both to ensure the correctness of the data received as input and also to avoid potential security issues from processing input that is not correctly validated. However, this validation process can be time-consuming and adds overhead to every request. Different keywords in the JSON Schema specification have complex interactions that may increase validation time. Since popular APIs may process thousands of requests per second and schemas change infrequently, we observe that we can resolve some of the complexity ahead of time in order to achieve faster validation. Our JSON Schema validator, Blaze, compiles complex schemas to an efficient representation in seconds to minutes, adding minimal overhead at build time. Blaze incorporates several unique optimizations to reduce the validation time by an average of approximately 10X compared existing validators on a variety of datasets. In some cases, Blaze achieves a reduction in validation time of multiple orders of magnitude compared to the next fastest validator. We also demonstrate that several popular validators produce incorrect results in some cases, while Blaze maintains strict adherence to the JSON Schema specification.

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Publication Details

Journal
Proceedings of the VLDB Endowment
Published
2025-10-01
DOI
https://doi.org/10.14778/3773749.3773764
Primary Topic
Web Application Security Vulnerabilities
Type
article
Field-Weighted Citation Impact
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article

Blaze: Compiling JSON Schema for 10x Faster Validation

Michael J. Mior, Juan Cruz Viotti
Proceedings of the VLDB Endowment
Web Application Security Vulnerabilities
article

Blaze: Compiling JSON Schema for 10x Faster Validation

Michael J. Mior, Juan Cruz Viotti
article en

Abstract

JSON Schemas provide useful guardrails for developers of Web APIs to guarantee that the semi-structured JSON input provided by clients matches a predefined structure. This is important both to ensure the correctness of the data received as input and also to avoid potential security issues from processing input that is not correctly validated. However, this validation process can be time-consuming and adds overhead to every request. Different keywords in the JSON Schema specification have complex interactions that may increase validation time. Since popular APIs may process thousands of requests per second and schemas change infrequently, we observe that we can resolve some of the complexity ahead of time in order to achieve faster validation. Our JSON Schema validator, Blaze, compiles complex schemas to an efficient representation in seconds to minutes, adding minimal overhead at build time. Blaze incorporates several unique optimizations to reduce the validation time by an average of approximately 10X compared existing validators on a variety of datasets. In some cases, Blaze achieves a reduction in validation time of multiple orders of magnitude compared to the next fastest validator. We also demonstrate that several popular validators produce incorrect results in some cases, while Blaze maintains strict adherence to the JSON Schema specification.

Proceedings of the VLDB EndowmentVol. 19(2)
Rochester Institute of Technology (US), Primary Source (US)
Openalex Percentile: Top 12%
Web Application Security Vulnerabilities
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