Go语言学习之encoding/json包(The way to go)
2017-04-19 14:10
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json
json大家都不陌生:
JSON(JavaScript Object Notation, JS 对象标记) 是一种轻量级的数据交换格式。它基于 ECMAScript 规范的一个子集,采用完全独立于编程语言的文本格式来存储和表示数据。简洁和清晰的层次结构使得 JSON 成为理想的数据交换语言。 易于人阅读和编写,同时也易于机器解析和生成,并有效地提升网络传输效率。
encoding/json
c++中我们使用json11进行json相关的操作,但是go语言呢,自带光环了:
encoding/json 是Go语言自带的JSON转换库
Marshal
把对象转换为JSON:
• 布尔型转换为 JSON 后仍是布尔型 , 如true -> true
• 浮点型和整数型转换后为JSON里面的常规数字,如 1.23 -> 1.23
• 字符串将以UTF-8编码转化输出为Unicode字符集的字符串,特殊字符比如<将会被转义为\u003c
• 数组和切片被转换为JSON 里面的数组,[]byte类会被转换为base64编码后的字符串,slice的零值被转换为null
• 结构体会转化为JSON对象,并且只有结构体里边以大写字母开头的可被导出的字段才会被转化输出,而这些可导出的字段会作为JSON对象的字符串索引
• 转化一个map 类型的数据结构时,该数据的类型必须是 map[string]T(T 可以是encoding/json 包支持的任意数据类型)
简单应用:
输出:
{“ID”:1,”Name”:”Reds”,”Colors”:[“Crimson”,”Red”,”Ruby”,”Maroon”]}
Unmarshal
把 JSON 转换回对象的方法:
这个函数会把传入的 data 作为一个JSON来进行解析,解析后的数据存储在参数 v 中。这个参数 v 也是任意类型的参数(但一定是一个类型的指针),原因是我们在是以此函数进行JSON 解析的时候,这个函数不知道这个传入参数的具体类型,所以它需要接收所有的类型。
简单应用:
输出:[{Name:Platypus Order:Monotremata} {Name:Quoll Order:Dasyuromorphia}]
Encoders and Decoders
NewDecoder returns a new decoder that reads from r.
A Decoder reads and decodes JSON values from an input stream.
An Encoder writes JSON values to an output stream.
简单应用:
Encode和Marshal的区别
func Encode is a method on an Encoder, which writes JSON encoded Go types to an output stream (func NewEncoder takes an io.Writer and returns a *Encoder).
Marshal is a function that returns JSON encoding of Go types.
应用
https://play.golang.org/p/WxRgpycMaH
json
json大家都不陌生:
JSON(JavaScript Object Notation, JS 对象标记) 是一种轻量级的数据交换格式。它基于 ECMAScript 规范的一个子集,采用完全独立于编程语言的文本格式来存储和表示数据。简洁和清晰的层次结构使得 JSON 成为理想的数据交换语言。 易于人阅读和编写,同时也易于机器解析和生成,并有效地提升网络传输效率。
encoding/json
c++中我们使用json11进行json相关的操作,但是go语言呢,自带光环了:
encoding/json 是Go语言自带的JSON转换库
Marshal
func Marshal(v interface{}) ([]byte, error)
把对象转换为JSON:
• 布尔型转换为 JSON 后仍是布尔型 , 如true -> true
• 浮点型和整数型转换后为JSON里面的常规数字,如 1.23 -> 1.23
• 字符串将以UTF-8编码转化输出为Unicode字符集的字符串,特殊字符比如<将会被转义为\u003c
• 数组和切片被转换为JSON 里面的数组,[]byte类会被转换为base64编码后的字符串,slice的零值被转换为null
• 结构体会转化为JSON对象,并且只有结构体里边以大写字母开头的可被导出的字段才会被转化输出,而这些可导出的字段会作为JSON对象的字符串索引
• 转化一个map 类型的数据结构时,该数据的类型必须是 map[string]T(T 可以是encoding/json 包支持的任意数据类型)
简单应用:
package main import ( "encoding/json" "fmt" "os" ) func main() { type ColorGroup struct { ID int Name string Colors []string } group := ColorGroup{ ID: 1, Name: "Reds", Colors: []string{"Crimson", "Red", "Ruby", "Maroon"}, } b, err := json.Marshal(group) if err != nil { fmt.Println("error:", err) } os.Stdout.Write(b) }
输出:
{“ID”:1,”Name”:”Reds”,”Colors”:[“Crimson”,”Red”,”Ruby”,”Maroon”]}
Unmarshal
func Unmarshal(data [] byte, v interface{}) error
把 JSON 转换回对象的方法:
这个函数会把传入的 data 作为一个JSON来进行解析,解析后的数据存储在参数 v 中。这个参数 v 也是任意类型的参数(但一定是一个类型的指针),原因是我们在是以此函数进行JSON 解析的时候,这个函数不知道这个传入参数的具体类型,所以它需要接收所有的类型。
简单应用:
package main import ( "encoding/json" "fmt" ) func main() { var jsonBlob = []byte(`[ {"Name": "Platypus", "Order": "Monotremata"}, {"Name": "Quoll", "Order": "Dasyuromorphia"} ]`) type Animal struct { Name string Order string } var animals []Animal err := json.Unmarshal(jsonBlob, &animals) if err != nil { fmt.Println("error:", err) } fmt.Printf("%+v", animals) }
输出:[{Name:Platypus Order:Monotremata} {Name:Quoll Order:Dasyuromorphia}]
Encoders and Decoders
NewDecoder returns a new decoder that reads from r.
func NewDecoder(r io.Reader) *Decoder
A Decoder reads and decodes JSON values from an input stream.
type Decoder struct { // contains filtered or unexported fields }
An Encoder writes JSON values to an output stream.
type Encoder struct { // contains filtered or unexported fields }
简单应用:
package main import ( "encoding/json" "fmt" "io" "log" "strings" ) func main() { const jsonStream = ` {"Name": "Ed", "Text": "Knock knock."} {"Name": "Sam", "Text": "Who's there?"} {"Name": "Ed", "Text": "Go fmt."} {"Name": "Sam", "Text": "Go fmt who?"} {"Name": "Ed", "Text": "Go fmt yourself!"} ` type Message struct { Name, Text string } dec := json.NewDecoder(strings.NewReader(jsonStream)) for { var m Message if err := dec.Decode(&m); err == io.EOF { break } else if err != nil { log.Fatal(err) } fmt.Printf("%s: %s\n", m.Name, m.Text) } }
Encode和Marshal的区别
func Encode is a method on an Encoder, which writes JSON encoded Go types to an output stream (func NewEncoder takes an io.Writer and returns a *Encoder).
Marshal is a function that returns JSON encoding of Go types.
应用
package main import "encoding/json" import "fmt" import "os" // We'll use these two structs to demonstrate encoding and // decoding of custom types below. type Response1 struct { Page int Fruits []string } type Response2 struct { Page int `json:"page"` Fruits []string `json:"fruits"` } func main() { // First we'll look at encoding basic data types to // JSON strings. Here are some examples for atomic // values. bolB, _ := json.Marshal(true) fmt.Println(string(bolB)) intB, _ := json.Marshal(1) fmt.Println(string(intB)) fltB, _ := json.Marshal(2.34) fmt.Println(string(fltB)) strB, _ := json.Marshal("gopher") fmt.Println(string(strB)) // And here are some for slices and maps, which encode // to JSON arrays and objects as you'd expect. slcD := []string{"apple", "peach", "pear"} slcB, _ := json.Marshal(slcD) fmt.Println(string(slcB)) mapD := map[string]int{"apple": 5, "lettuce": 7} mapB, _ := json.Marshal(mapD) fmt.Println(string(mapB)) // The JSON package can automatically encode your // custom data types. It will only include exported // fields in the encoded output and will by default // use those names as the JSON keys. res1D := &Response1{ Page: 1, Fruits: []string{"apple", "peach", "pear"}} res1B, _ := json.Marshal(res1D) fmt.Println(string(res1B)) // You can use tags on struct field declarations // to customize the encoded JSON key names. Check the // definition of `Response2` above to see an example // of such tags. res2D := &Response2{ Page: 1, Fruits: []string{"apple", "peach", "pear"}} res2B, _ := json.Marshal(res2D) fmt.Println(string(res2B)) // Now let's look at decoding JSON data into Go // values. Here's an example for a generic data // structure. byt := []byte(`{"num":6.13,"strs":["a","b"]}`) // We need to provide a variable where the JSON // package can put the decoded data. This // `map[string]interface{}` will hold a map of strings // to arbitrary data types. var dat map[string]interface{} // Here's the actual decoding, and a check for // associated errors. if err := json.Unmarshal(byt, &dat); err != nil { panic(err) } fmt.Println(dat) // In order to use the values in the decoded map, // we'll need to cast them to their appropriate type. // For example here we cast the value in `num` to // the expected `float64` type. num := dat["num"].(float64) fmt.Println(num) // Accessing nested data requires a series of // casts. strs := dat["strs"].([]interface{}) str1 := strs[0].(string) fmt.Println(str1) // We can also decode JSON into custom data types. // This has the advantages of adding additional // type-safety to our programs and eliminating the // need for type assertions when accessing the decoded // data. str := `{"page": 1, "fruits": ["apple", "peach"]}` res := Response2{} json.Unmarshal([]byte(str), &res) fmt.Println(res) fmt.Println(res.Fruits[0]) // In the examples above we always used bytes and // strings as intermediates between the data and // JSON representation on standard out. We can also // stream JSON encodings directly to `os.Writer`s like // `os.Stdout` or even HTTP response bodies. enc := json.NewEncoder(os.Stdout) d := map[string]int{"apple": 5, "lettuce": 7} enc.Encode(d) }
https://play.golang.org/p/WxRgpycMaH
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