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Tao Wen c5576a8a31 next token 9 年之前
LICENSE 923358c07e Initial commit 9 年之前
README.md 6a46bc9513 update README 9 年之前
jsoniter.go c5576a8a31 next token 9 年之前
jsoniter_adapter.go 9873b4d32c support customize reflection 9 年之前
jsoniter_array_test.go c457aeaac2 optimize 9 年之前
jsoniter_bool_test.go ce5b193569 support null/true/false 9 年之前
jsoniter_customize_test.go b0b1af4b3b rename 9 年之前
jsoniter_float_test.go 688f2968dd optimize read float 9 年之前
jsoniter_int_test.go 5488b122cd merge lexer with iterator 9 年之前
jsoniter_io_test.go 5488b122cd merge lexer with iterator 9 年之前
jsoniter_large_file_test.go ce5b193569 support null/true/false 9 年之前
jsoniter_nested_test.go ce5b193569 support null/true/false 9 年之前
jsoniter_null_test.go ce5b193569 support null/true/false 9 年之前
jsoniter_object_test.go c44e7c496a optimize read string 9 年之前
jsoniter_reflect.go 0db782620f remove extra branches 9 年之前
jsoniter_reflect_test.go d80d954345 support string conversion 9 年之前
jsoniter_skip_test.go 18a2587df6 reflect string 9 年之前
jsoniter_string_test.go c44e7c496a optimize read string 9 年之前

README.md

json iterator (jsoniter)

faster than DOM, more usable than SAX/StAX

Why json iterator?

1. It is faster

jsoniter can work as drop in replacement for json.Unmarshal, with or without reflection. Unlike https://github.com/pquerna/ffjson jsoniter does not require go generate

for performance numbers, see https://github.com/json-iterator/go-benchmark

2. io.Reader as input

jsoniter does not read the whole json into memory, it parse the document in a streaming way. Unlike https://github.com/pquerna/ffjson it requires []byte as input.

3. Pull style api

jsoniter can be used just like json.Unmarshal, for example

type StructOfTag struct {
    field1 string `json:"field-1"`
    field2 string `json:"-"`
    field3 int `json:",string"`
}

struct_ := StructOfTag{}
jsoniter.Unmarshal(`{"field-1": "hello", "field2": "", "field3": "100"}`, &struct_)

But it allows you to go down one level lower, to control the parsing process using pull style api (like StAX, if you know what I mean). Here is just a demo of what you can do

iter := jsoniter.ParseString(`[1,2,3]`)
for iter.ReadArray() {
  iter.ReadUint64()
}

4. Customization

Of course, you can use the low level pull api to do anything you like. But most of the time, reflection based api is fast enough. How to control the parsing process when we are using the reflection api? json.Unmarshaller is not flexible enough. Jsoniter provides much better customizability.

func Test_customize_type_decoder(t *testing.T) {
	RegisterTypeDecoder("time.Time", func(ptr unsafe.Pointer, iter *Iterator) {
		t, err := time.ParseInLocation("2006-01-02 15:04:05", iter.ReadString(), time.UTC)
		if err != nil {
			iter.Error = err
			return
		}
		*((*time.Time)(ptr)) = t
	})
	defer ClearDecoders()
	val := time.Time{}
	err := Unmarshal([]byte(`"2016-12-05 08:43:28"`), &val)
	if err != nil {
		t.Fatal(err)
	}
	year, month, day := val.Date()
	if year != 2016 || month != 12 || day != 5 {
		t.Fatal(val)
	}
}

there is no way to add json.Unmarshaller to time.Time as the type is not defined by you (type alias time.Time is not fun to use). Using jsoniter, we can.

type Tom struct {
	field1 string
}

func Test_customize_field_decoder(t *testing.T) {
	RegisterFieldDecoder("jsoniter.Tom", "field1", func(ptr unsafe.Pointer, iter *Iterator) {
		*((*string)(ptr)) = strconv.Itoa(iter.ReadInt())
	})
	defer ClearDecoders()
	tom := Tom{}
	err := Unmarshal([]byte(`{"field1": 100}`), &tom)
	if err != nil {
		t.Fatal(err)
	}
}

It is very common the input json has certain fields massed up. We want string, but it is int, etc. The old way is to define a struct of exact type like the json. Then we convert from one struct to a new struct. It is just too much work. Using jsoniter you can tweak the field conversion.

Why not json iterator?

jsoniter does not plan to support map[string]interface{}, period.