change name to AJSON, see issue
Inspiration comes from gjson in golang
Add it to your Cargo.toml
file:
[dependencies]
ajson = "0.3"
- Add documentation
- Follow api-guidelines
- Update benchmark
- Optimize
AJSON get json value with specified path, such as project.name
or project.version
. When the path matches, it returns immediately!
let data = r#"
{
"project": {
"name": "ajson",
"maintainer": "importcjj",
"version": 0.1,
"rusts": ["stable", "nightly"]
}
}
"#;
let name = ajson::get(data, "project.name").unwrap().unwrap();
println!("{}", name.as_str()); // ajson
JSON example
{
"name": {"first": "Tom", "last": "Anderson"},
"age":37,
"children": ["Sara","Alex","Jack"],
"fav.movie": "Deer Hunter",
"friends": [
{"first": "Dale", "last": "Murphy", "age": 44, "nets": ["ig", "fb", "tw"]},
{"first": "Roger", "last": "Craig", "age": 68, "nets": ["fb", "tw"]},
{"first": "Jane", "last": "Murphy", "age": 47, "nets": ["ig", "tw"]}
]
}
Below is a quick overview of the path syntax, for more complete information please check out GJSON Syntax.
A path is a series of keys separated by a dot. A key may contain special wildcard characters '*' and '?'. To access an array value use the index as the key. To get the number of elements in an array or to access a child path, use the '#' character. The dot and wildcard characters can be escaped with ''.
name.last >> "Anderson"
age >> 37
children >> ["Sara","Alex","Jack"]
children.# >> 3
children.1 >> "Alex"
child*.2 >> "Jack"
c?ildren.0 >> "Sara"
fav\.movie >> "Deer Hunter"
friends.#.first >> ["Dale","Roger","Jane"]
friends.1.last >> "Craig"
Special purpose characters, such as ., *, and ? can be escaped with .
fav\.movie "Deer Hunter"
The # character allows for digging into JSON Arrays.To get the length of an array you'll just use the # all by itself.
friends.# 3
friends.#.age [44,68,47]
You can also query an array for the first match by using #(...), or find all matches with #(...)#. Queries support the ==, !=, <, <=, >, >= comparison operators and the simple pattern matching % (like) and !% (not like) operators.
friends.#(last=="Murphy").first >> "Dale"
friends.#(last=="Murphy")#.first >> ["Dale","Jane"]
friends.#(age>45)#.last >> ["Craig","Murphy"]
friends.#(first%"D*").last >> "Murphy"
friends.#(nets.#(=="fb"))#.first >> ["Dale","Roger"]
Basically, you can use selectors to assemble whatever you want, and of course, the result is still a json ;)
{name.first,age,"murphys":friends.#(last="Murphy")#.first}
[name.first,age,children.0]
ajson::get(json, "name.[first,last]").unwrap().unwrap().to_vec();
ajson::get(json, "name.first").unwrap().unwrap();
ajson::get(json, "name.last").unwrap().unwrap();
Value types.
enum Value {
String(String),
Number(Number),
Object(String),
Array(String),
Boolean(bool),
Null,
}
Value has a number of methods that meet your different needs.
value.get(&str) -> Option<Value>
value.as_str() -> &str
value.as_u64() -> u64
value.as_i64() -> i64
value.as_f64() -> f64
value.as_bool() -> bool
value.as_vec() -> Vec<Value>
value.as_object() -> HashMap<String, Value>
value.is_number() -> bool
value.is_string() -> bool
value.is_bool() -> bool
value.is_object() -> bool
value.is_array() -> bool
value.is_null() -> bool
$ cargo bench
ajson benchmark time: [2.0816 us 2.0865 us 2.0917 us]
change: [+0.6172% +0.9272% +1.2430%] (p = 0.00 < 0.05)
Change within noise threshold.
Found 11 outliers among 100 measurements (11.00%)
7 (7.00%) high mild
4 (4.00%) high severe
serde_json benchmark time: [23.033 us 23.076 us 23.119 us]
change: [-0.7185% -0.3455% +0.0230%] (p = 0.07 > 0.05)
No change in performance detected.
Found 7 outliers among 100 measurements (7.00%)
6 (6.00%) high mild
1 (1.00%) high severe
json-rust benchmark time: [12.225 us 12.289 us 12.381 us]
change: [-2.6200% -1.1789% +0.8442%] (p = 0.19 > 0.05)
No change in performance detected.
Found 9 outliers among 100 measurements (9.00%)
5 (5.00%) high mild
4 (4.00%) high severe
ajson selector time: [1.1523 us 1.1561 us 1.1604 us]
change: [+0.1567% +0.7278% +1.2945%] (p = 0.01 < 0.05)
Change within noise threshold.
Found 3 outliers among 100 measurements (3.00%)
3 (3.00%) high mild
ajson multi query time: [559.19 ns 559.96 ns 560.77 ns]
change: [-1.4268% -1.0380% -0.6698%] (p = 0.00 < 0.05)
Change within noise threshold.
Found 3 outliers among 100 measurements (3.00%)
3 (3.00%) high mild
serde derive time: [4.5301 us 4.5403 us 4.5507 us]
change: [-2.3423% -1.9438% -1.5697%] (p = 0.00 < 0.05)
Performance has improved.
Found 2 outliers among 100 measurements (2.00%)
2 (2.00%) high mild
serde derive multi query
time: [956.86 ns 962.64 ns 970.05 ns]
change: [-1.7069% -1.0299% -0.2924%] (p = 0.01 < 0.05)
Change within noise threshold.
Found 9 outliers among 100 measurements (9.00%)
3 (3.00%) high mild
6 (6.00%) high severe
nom json bench time: [2.9468 us 2.9515 us 2.9566 us]
Found 5 outliers among 100 measurements (5.00%)
4 (4.00%) high mild
1 (1.00%) high severe
- MacBook Pro (14-inch, 2021)
- Apple M1 Pro
- 16 GB
MIT License.