#simd #json #parser #performance

simd-json

High performance JSON parser based on a port of simdjson

51 releases

new 0.3.20 Sep 13, 2020
0.3.18 Aug 18, 2020
0.3.16 Jul 19, 2020
0.3.3 Mar 25, 2020
0.1.17 Jul 29, 2019

#17 in Hardware support

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4,549 downloads per month
Used in 15 crates (13 directly)

Apache-2.0 OR MIT

525KB
13K SLoC

SIMD Json for Rust   Build Status Build Status ARM Quality Latest Version Code Coverage

Rust port of extremely fast simdjson JSON parser with serde compatibility.


readme (for real!)

simdjson version

Currently tracking version 0.2.x of simdjson upstream (work in progress, feedback welcome!).

CPU target

To be able to take advantage of simd-json your system needs to be SIMD capable. This means that it needs to compile with native cpu support and the given features. This also requires that projects using simd-json also need to be configured with native cpu support. Look at The cargo config in this repository to get an example of how to configure this in your project.

simd-json supports AVX2, SSE4.2 and NEON.

Unless the allow-non-simd feature is passed to your simd-json dependency in your Cargo.toml simd-json will fail to compile, this is to prevent unexpected slowness in fallback mode that can be hard to understand and hard to debug.

allocator

For best performance we highly suggest using mimalloc or jemalloc instead of the system allocator used by default. Another recent allocator that works well ( but we have yet to test in production a setting ) is snmalloc.

serde

simd-json is compatible with serde and serde-json. The Value types provided implement serializers and deserializers. In addition to that simd-json implements the Deserializer trait for the parser so it can deserialize anything that implements the serde Deserialize trait. Note, that serde provides both a Deserializer and a Deserialize trait.

That said the serde support is contained in the serde_impl feature which is part of the default feature set of simd-json, but it can be disabled.

known-key

The known-key feature changes the hash mechanism for the DOM representation of the underlying JSON object, from ahash to fxhash. The ahash hasher is faster at hashing and provides protection against DOS attacks by forcing multiple keys into a single hashing bucket. The fxhash hasher on the other hand allows for repeatable hashing results, which in turn allows memoizing hashes for well known keys and saving time on lookups. In workloads that are heavy at accessing some well known keys this can be a performance advantage.

The known-key feature is optional and disabled by default and should be explicitly configured.

serializing

simd-json is not capable of serializing JSON data as there would be very little gain in re-implementing it. For serialization, we typically rely on serde-json.

For DOM values we provide convience methods for serialization.

For struct values we defer to external serde-compatible serialization mechanisms.

unsafe

simd-json uses a lot of unsafe code.

There are a few reasons for this:

  • SIMD intrinsics are inherently unsafe. These uses of unsafe are inescapable in a library such as simd-json.
  • We work around some performance bottlenecks imposed by safe rust. These are avoidable, but at a cost to performance. This is a more considered path in simd-json.

simd-json goes through extra scrutiny for unsafe code. These steps are:

  • Unit tests - to test 'the obvious' cases, edge cases, and regression cases
  • Structural constructive property based testing - We generate random valid JSON objects to exercise the full simd-json codebase stochastically. Floats are currently excluded since slighty different parsing algorihtms lead to slighty different results here. In short "is simd-json correct".
  • Data-oriented property based testing of string-like data - to assert that sequences of legal printable characters don't panic or crash the parser (they might and often error so - they are not valid json!)
  • Destructive Property based testing - make sure that no illegal byte sequences crash the parser in any way
  • Fuzzing (using American Fuzzy Lop - afl) - fuzz based on upstream simd pass/fail cases

This doesn't ensure complete safety nor is at a bullet proof guarantee, but it does go a long way to asserting that the library is production quality and fit for purpose for practical industrial applications.

Other interesting things

There are also bindings for upstream simdjson available here

License

simd-json itself is licensed under either of

However it ports a lot of code from simdjson so their work and copyright on that should be respected along side.

The serde integration is based on their example and serde-json so again, their copyright should as well be respected.

Dependencies

~0.8–4.5MB
~82K SLoC