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sonic-rs
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A fast Rust JSON library based on SIMD. It has some references to other open-source libraries like sonic_cpp, serde_json, sonic, simdjson, rust-std and more.
The main optimization in sonic-rs is the use of SIMD. However, we do not use the two-stage SIMD algorithms from simd-json. We primarily use SIMD in the following scenarios:
- parsing/serialize long JSON strings
- parsing the fraction of float number
- Getting a specific elem or field from JSON
- Skipping white spaces when parsing JSON
More details about optimization can be found in performance.md.
Requirements/Notes
- Support x86_64 or aarch64. Note that the performance in aarch64 is lower and needs optimization.
- Requires Rust nightly version, as we use the
packed_simdcrate. - Does NOT validate the UTF-8 when parsing from a slice by default. You can use the
utf8feature to enable validation. The performance loss is about 3% ~ 10%. - When using
get_from,get_many,JsonIterorRawValue, Warn: the JSON should be well-formed and valid.
Features
-
Serde into Rust struct as
serde_jsonandserde. -
Parse/Serialize JSON for untyped document, which can be mutable.
-
Get specific fields from a JSON with the blazing performance.
-
Use JSON as a lazy array or object iterator with the blazing performance.
-
Supprt
RawValue,NumberandRawNumber(just like Golang’sJsonNumber) in default. -
The floating parsing percision is as Rust std in default.
Quick to use sonic-rs
To ensure that SIMD instruction is used in sonic-rs, you need to add rustflags -C target-cpu=native and compile on the host machine. For example, Rust flags can be configured in Cargo config.
Choose what features?
default: the fast version that does not validate UTF-8 when parsing for performance.
utf8: provides UTF-8 validation when parsing JSON from a slice.
Benchmark
Benchmarks environemnt:
Architecture: x86_64
Model name: Intel(R) Xeon(R) Platinum 8260 CPU @ 2.40GHzBenchmarks:
-
Deserialize Struct: Deserialize the JSON into Rust struct. The defined struct and testdata is from [json-benchmark][https://github.com/serde-rs/json-benchmark]
-
Deseirlize Untyped: Deseialize the JSON into a document
The serialize benchmarks work in the opposite way.
All deserialized benchmark enabled utf-8, and enabled float_roundtrip in serde-json to get sufficient precision as Rust std.
Deserialize Struct (Enabled utf8 validation)
The benchmark will parse JSON into a Rust struct, and there are no unknown fields in JSON text. All fields are parsed into struct fields in the JSON.
Sonic-rs is faster than simd-json because simd-json (Rust) first parses the JSON into a tape, then parses the tape into a Rust struct. Sonic-rs directly parses the JSON into a Rust struct, and there are no temporary data structures. The flamegraph is profiled in the citm_catalog case.
cargo bench --bench deserialize_struct --features utf8 -- --quiet
twitter/sonic_rs::from_slice
time: [721.80 µs 747.81 µs 776.19 µs]
twitter/simd_json::from_slice
time: [1.0909 ms 1.1225 ms 1.1561 ms]
twitter/serde_json::from_slice
time: [2.3218 ms 2.3491 ms 2.3787 ms]
twitter/serde_json::from_str
time: [1.4123 ms 1.4460 ms 1.4842 ms]
citm_catalog/sonic_rs::from_slice
time: [1.2133 ms 1.2447 ms 1.2827 ms]
citm_catalog/simd_json::from_slice
time: [2.0556 ms 2.0822 ms 2.1126 ms]
citm_catalog/serde_json::from_slice
time: [2.9939 ms 3.0271 ms 3.0674 ms]
citm_catalog/serde_json::from_str
time: [2.4043 ms 2.4604 ms 2.5283 ms]
canada/sonic_rs::from_slice
time: [3.8612 ms 3.9070 ms 3.9574 ms]
canada/simd_json::from_slice
time: [8.8144 ms 8.9206 ms 9.0317 ms]
canada/serde_json::from_slice
time: [8.8703 ms 8.9586 ms 9.0555 ms]
canada/serde_json::from_str
time: [9.2865 ms 9.4272 ms 9.6032 ms]Deserialize Untyped (Enabled utf8 validation)
The benchmark will parse JSON into a document. Sonic-rs seems faster for several reasons:
- There are also no temporary data structures in sonic-rs, as detailed above.
- Sonic-rs uses a memory arena for the whole document, resulting in fewer memory allocations, better cache-friendliness, and mutability.
- The JSON object in sonic-rs’s document is actually a vector. Sonic-rs does not build a hashmap.
cargo bench --bench deserialize_value --features utf8 -- --quiet
twitter/sonic_rs_dom::from_slice
time: [589.34 µs 593.81 µs 599.02 µs]
twitter/simd_json::slice_to_borrowed_value
time: [1.2174 ms 1.2281 ms 1.2406 ms]
twitter/serde_json::from_slice
time: [3.9370 ms 3.9658 ms 3.9960 ms]
twitter/serde_json::from_str
time: [2.8013 ms 2.8278 ms 2.8584 ms]
twitter/simd_json::slice_to_owned_value
time: [1.7537 ms 1.7857 ms 1.8220 ms]
citm_catalog/sonic_rs_dom::from_slice
time: [1.7779 ms 1.8326 ms 1.8942 ms]
citm_catalog/simd_json::slice_to_borrowed_value
time: [4.0278 ms 4.1167 ms 4.2103 ms]
citm_catalog/serde_json::from_slice
time: [9.4022 ms 9.5598 ms 9.7242 ms]
citm_catalog/serde_json::from_str
time: [7.7487 ms 7.9720 ms 8.2212 ms]
citm_catalog/simd_json::slice_to_owned_value
time: [4.1156 ms 4.1760 ms 4.2489 ms]
canada/sonic_rs_dom::from_slice
time: [4.9905 ms 5.0650 ms 5.1539 ms]
canada/simd_json::slice_to_borrowed_value
time: [11.931 ms 12.142 ms 12.384 ms]
canada/serde_json::from_slice
time: [17.262 ms 17.433 ms 17.634 ms]
canada/serde_json::from_str
time: [16.579 ms 16.773 ms 17.025 ms]
canada/simd_json::slice_to_owned_value
time: [12.024 ms 12.209 ms 12.423 ms]Serialize Untyped
cargo bench --bench serialize_value -- --quiet
We serialize the document into a string. In the following benchmarks, sonic-rs appears faster for the twitter JSON. The twitter JSON contains many long JSON strings, which fit well with sonic-rs’s SIMD optimization.
twitter/sonic_rs::to_string
time: [380.90 µs 390.00 µs 400.38 µs]
twitter/serde_json::to_string
time: [788.98 µs 797.34 µs 807.69 µs]
twitter/simd_json::to_string
time: [965.66 µs 981.14 µs 998.08 µs]
citm_catalog/sonic_rs::to_string
time: [805.85 µs 821.99 µs 841.06 µs]
citm_catalog/serde_json::to_string
time: [1.8299 ms 1.8880 ms 1.9498 ms]
citm_catalog/simd_json::to_string
time: [1.7356 ms 1.7636 ms 1.7972 ms]
canada/sonic_rs::to_string
time: [6.5808 ms 6.7082 ms 6.8570 ms]
canada/serde_json::to_string
time: [6.4800 ms 6.5747 ms 6.6893 ms]
canada/simd_json::to_string
time: [7.3751 ms 7.5690 ms 7.7944 ms]Serialize Struct
cargo bench --bench serialize_struct -- --quiet
The explanation is as mentioned above.
twitter/sonic_rs::to_string
time: [434.03 µs 448.25 µs 463.97 µs]
twitter/simd_json::to_string
time: [506.21 µs 515.54 µs 526.35 µs]
twitter/serde_json::to_string
time: [719.70 µs 739.97 µs 762.69 µs]
canada/sonic_rs::to_string
time: [4.6701 ms 4.7481 ms 4.8404 ms]
canada/simd_json::to_string
time: [5.8072 ms 5.8793 ms 5.9625 ms]
canada/serde_json::to_string
time: [4.5708 ms 4.6281 ms 4.6967 ms]
citm_catalog/sonic_rs::to_string
time: [624.86 µs 629.54 µs 634.57 µs]
citm_catalog/simd_json::to_string
time: [624.10 µs 633.55 µs 644.78 µs]
citm_catalog/serde_json::to_string
time: [802.10 µs 814.15 µs 828.10 µs]Get from JSON
cargo bench --bench get_from -- --quiet
The benchmark is getting a specific field from the twitter JSON. In both sonic-rs and gjson, the JSON should be well-formed and valid when using get or get_from. Sonic-rs utilize SIMD to quickly skip unnecessary fields, thus enhancing the performance.
twitter/sonic-rs::get_from_str
time: [79.432 µs 80.008 µs 80.738 µs]
twitter/gjson::get time: [344.41 µs 351.36 µs 362.03 µs]Usage
Serde into Rust Type
Directly use the Deserialize or Serialize trait.
use sonic_rs::{Deserialize, Serialize};
// sonic-rs re-exported them from serde
// or use serde::{Deserialize, Serialize};
#[derive(Serialize, Deserialize)]
struct Person {
name: String,
age: u8,
phones: Vec<String>,
}
fn main() {
let data = r#"{
"name": "Xiaoming",
"age": 18,
"phones": [
"+123456"
]
}"#;
let p: Person = sonic_rs::from_str(data).unwrap();
assert_eq!(p.age, 18);
assert_eq!(p.name, "Xiaoming");
let out = sonic_rs::to_string_pretty(&p).unwrap();
assert_eq!(out, data);
}
Get a field from JSON
Get a specific field from a JSON with the pointer path. The return is a LazyValue, which is a wrapper of a raw JSON slice. Note that the JSON must be valid and well-formed, otherwise it may return unexpected result.
use sonic_rs::{get_from_str, pointer, JsonValue, PointerNode};
fn main() {
let path = pointer!["a", "b", "c", 1];
let json = r#"
{"u": 123, "a": {"b" : {"c": [null, "found"]}}}
"#;
let target = get_from_str(json, path.iter()).unwrap();
assert_eq!(target.as_raw_str(), r#""found""#);
assert_eq!(target.as_str().unwrap(), "found");
let path = pointer!["a", "b", "c", "d"];
let json = r#"
{"u": 123, "a": {"b" : {"c": [null, "found"]}}}
"#;
// not found from json
let target = get_from_str(json, path.iter());
assert!(target.is_err());
}
Parse and Serialize into untyped Value
Parse a JSON into a document, which is mutable. Be aware that the document is managed by a bump allocator. It is recommended to convert documents into Object/ObjectMut or Array/ArrayMut to make them typed and easier to use.
use sonic_rs::value::{dom_from_slice, Value};
use sonic_rs::PointerNode;
use sonic_rs::{pointer, JsonValue};
fn main() {
let json = r#"{
"name": "Xiaoming",
"obj": {},
"arr": [],
"age": 18,
"address": {
"city": "Beijing"
},
"phones": [
"+123456",
]
}"#;
let mut dom = dom_from_slice(json.as_bytes()).unwrap();
// get the value from dom
let root = dom.as_value();
// get key from value
let age = root.get("age").as_i64();
assert_eq!(age.unwrap_or_default(), 18);
// get by index
let first = root["phones"][0].as_str().unwrap();
assert_eq!(first, "+123456");
// get by pointer
let phones = root.pointer(&pointer!["phones", 0]);
assert_eq!(phones.as_str().unwrap(), "+123456");
// convert to mutable object
let mut obj = dom.as_object_mut().unwrap();
let value = Value::new_bool(true);
obj.insert("inserted", value);
assert!(obj.contains_key("inserted"));
}
JSON Iterator
Parse a object or array JSON into a iterator. The item of iterator is the LazyValue, which is wrapper of a raw JSON slice.
use bytes::Bytes;
use sonic_rs::{to_array_iter, JsonValue};
fn main() {
let json = Bytes::from(r#"[1, 2, 3, 4, 5, 6]"#);
let iter = to_array_iter(&json);
for (i, v) in iter.enumerate() {
assert_eq!(i + 1, v.as_u64().unwrap() as usize);
}
let json = Bytes::from(r#"[1, 2, 3, 4, 5, 6"#);
let mut iter = to_array_iter(&json);
for _ in iter.iter() {}
// deal with errors when invalid json
let ret = iter.take_result();
assert_eq!(
ret.as_ref().err().unwrap().to_string(),
"Expected this character to be either a ',' or a ']' while parsing at line 1 column 17"
);
}
JSON RawValue & Number & RawNumber
If we need parse a JSON value as a raw string, we can use RawValue.
If we need parse a JSON number into a untyped type, we can use Number.
If we need parse a JSON number without loss of percision, we can use RawNumber. It likes JsonNumber in Golang, and can also be parsed from a JSON string.
Detailed examples can be found in raw_value.rs and json_number.rs.
FAQs
About UTF-8
By default, sonic-rs does not enable UTF-8 validation. This is a trade-off to achieve the fastest performance.
-
For the
from_sliceanddom_from_sliceinterfaces, if you need to validate UTF-8 for the parsed JSON, please use theutf8feature. -
For the
getandlazyvaluerelated interfaces, due to the algorithm design, these interfaces are only suitable for use in valid-json scenarios, and we will not provide UTF-8 validation in the future.
About floating point precision
By default, sonic-rs uses floating point precision consistent with the Rust standard library, and there is no need to add an extra float_roundtrip feature like serde-json to ensure floating point precision.
If you want to achieve lossless precision when parsing floating-point numbers, such as Golang JsonNumber and serde-json arbitrary_precision, you can use RawNumber.
Acknowledgement
Thanks the following open-source libraries. sonic-rs has some references to other open-source libraries like sonic_cpp, serde_json, sonic, simdjson, yyjson, rust-std and so on.
We rewrote many SIMD algorithms from sonic-cpp/sonic/simdjson/yyjson for performance. We reused the de/ser codes and modified necessary parts from serde_json to make high compatibility with serde. We resued part codes about floating parsing from rust-std to make it more accurate.
Contributing
Please read CONTRIBUTING.md for information on contributing to sonic-rs.
Re-exports
Modules
Macros
Structs
- This type represents all possible errors that can occur when serializing or deserializing JSON data.
Enums
- JsonPointer reprsents a json path. You can use
jsonpointer!["a", "b", 1]represent a json path. It means that we will get the json field from.a.b.1. Note: the key in jsonpointer should be unescaped.
Traits
- PointerTrait is a trait for the node in json pointer path.
Functions
Type Aliases
- Alias for a
Resultwith the error typesonic_rs::Error.