golang标准库json与三方包jsoniter序列化效率对比

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package main

import (
    "encoding/json"
    "fmt"
    "github.com/json-iterator/go"
    "time"
)

type Data struct {
    ceshi  string
    ceshi1 string
    ceshi2 string
    ceshi3 string
}

func main() {
    data := Data{
        ceshi:  "ceshi111111111111111111111111111111111111111",
        ceshi1: "ceshi111111111111111111111111111111111111111",
        ceshi2: "ceshi111111111111111111111111111111111111111",
        ceshi3: "ceshi111111111111111111111111111111111111111",
    }
    t1 := time.Now()
    for i := 0; i < 100000; i++ {
        json.Marshal(&data)
    }
    cost := time.Since(t1).Seconds()
    fmt.Printf("encoding/json, using struct %v 秒\n", cost)

    var jsoner = jsoniter.ConfigCompatibleWithStandardLibrary
    t2 := time.Now()
    for i := 0; i < 100000; i++ {
        jsoner.Marshal(&data)
    }
    cost = time.Since(t2).Seconds()
    fmt.Printf("json-iterator, using struct %v 秒\n", cost)

    data1 := map[string]string{}
    data1["ceshi"] = "ceshi11111111111111111111111"
    data1["ceshi1"] = "ceshi11111111111111111111111"
    data1["ceshi2"] = "ceshi11111111111111111111111"
    data1["ceshi3"] = "ceshi11111111111111111111111"

    t3 := time.Now()
    for i := 0; i < 100000; i++ {
        json.Marshal(&data1)
    }
    cost = time.Since(t3).Seconds()
    fmt.Printf("encoding/json,using map %v秒\n", cost)

    t4 := time.Now()
    for i := 0; i < 100000; i++ {
        jsoner.Marshal(&data1)
    }
    cost = time.Since(t4).Seconds()
    fmt.Printf("json-iterator, using map %v秒\n", cost)
}

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encoding/json, using struct 0.01814627 秒
json-iterator, using struct 0.017017023 秒
encoding/json,using map 0.270127329秒
json-iterator, using map 0.223476829秒

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#encoding:utf-8
import json
import time



data = {}
data["ceshi"] = "ceshi11111111111111111111111"
data["ceshi1"] = "ceshi11111111111111111111111"
data["ceshi2"] = "ceshi11111111111111111111111"
data["ceshi3"] = "ceshi11111111111111111111111"

t1 = time.time()
#python 2.7 用xrange
for i in range(100000):
    j = json.dumps(data)
cost = time.time() - t1
print("python 3.7 序列化耗时 %s"%cost)

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python 2.7 序列化耗时 0.56022310257秒
python 3.7 序列化耗时 0.57580351829秒
pypy 3.6 序列化耗时 0.1422567367553711秒