将JSON对象数组解析为单独的文档

Question

我正在收集由代理生成的日志。它生成一个大型JSON输出，我需要将其分解为较小的JSON文档，并使用sarama将其写入kafka。由于kafka消息的最大大小限制，我在分解成几个单独的JSON文档时遇到了问题。任何建议都将不胜感激。除了指示日志活动的日期/时间字段外，日志消息没有任何固定字段或数据类型

示例#1

[{"date":1596206786.847531,"rand_value":11885153394315023285},{"date":1596206787.847446,"rand_value":6208802038498064748},{"date":1596206788.847526,"rand_value":932964293334035461},{"date":1596206789.847568,"rand_value":13217490172547025909}]

示例2

[{"date":1596206786.847743,"cpu_p":0,"user_p":0,"system_p":0,"cpu0.p_cpu":0,"cpu0.p_user":0,"cpu0.p_system":0,"cpu1.p_cpu":0,"cpu1.p_user":0,"cpu1.p_system":0,"cpu2.p_cpu":0,"cpu2.p_user":0,"cpu2.p_system":0,"cpu3.p_cpu":0,"cpu3.p_user":0,"cpu3.p_system":0,"cpu4.p_cpu":0,"cpu4.p_user":0,"cpu4.p_system":0,"cpu5.p_cpu":0,"cpu5.p_user":0,"cpu5.p_system":0,"cpu6.p_cpu":0,"cpu6.p_user":0,"cpu6.p_system":0,"cpu7.p_cpu":0,"cpu7.p_user":0,"cpu7.p_system":0},{"date":1596206787.847689,"cpu_p":1.25,"user_p":0.75,"system_p":0.5,"cpu0.p_cpu":2,"cpu0.p_user":1,"cpu0.p_system":1,"cpu1.p_cpu":1,"cpu1.p_user":0,"cpu1.p_system":1,"cpu2.p_cpu":2,"cpu2.p_user":1,"cpu2.p_system":1,"cpu3.p_cpu":3,"cpu3.p_user":2,"cpu3.p_system":1,"cpu4.p_cpu":1,"cpu4.p_user":0,"cpu4.p_system":1,"cpu5.p_cpu":1,"cpu5.p_user":1,"cpu5.p_system":0,"cpu6.p_cpu":2,"cpu6.p_user":2,"cpu6.p_system":0,"cpu7.p_cpu":0,"cpu7.p_user":0,"cpu7.p_system":0},{"date":1596206788.847754,"cpu_p":0.75,"user_p":0.5,"system_p":0.25,"cpu0.p_cpu":0,"cpu0.p_user":0,"cpu0.p_system":0,"cpu1.p_cpu":1,"cpu1.p_user":0,"cpu1.p_system":1,"cpu2.p_cpu":2,"cpu2.p_user":1,"cpu2.p_system":1,"cpu3.p_cpu":0,"cpu3.p_user":0,"cpu3.p_system":0,"cpu4.p_cpu":0,"cpu4.p_user":0,"cpu4.p_system":0,"cpu5.p_cpu":1,"cpu5.p_user":1,"cpu5.p_system":0,"cpu6.p_cpu":1,"cpu6.p_user":0,"cpu6.p_system":1,"cpu7.p_cpu":1,"cpu7.p_user":0,"cpu7.p_system":1},{"date":1596206789.847805,"cpu_p":0.8750000000000001,"user_p":0.5,"system_p":0.375,"cpu0.p_cpu":1,"cpu0.p_user":0,"cpu0.p_system":1,"cpu1.p_cpu":1,"cpu1.p_user":1,"cpu1.p_system":0,"cpu2.p_cpu":2,"cpu2.p_user":1,"cpu2.p_system":1,"cpu3.p_cpu":0,"cpu3.p_user":0,"cpu3.p_system":0,"cpu4.p_cpu":1,"cpu4.p_user":1,"cpu4.p_system":0,"cpu5.p_cpu":0,"cpu5.p_user":0,"cpu5.p_system":0,"cpu6.p_cpu":2,"cpu6.p_user":2,"cpu6.p_system":0,"cpu7.p_cpu":0,"cpu7.p_user":0,"cpu7.p_system":0}]

package main

import (
    "encoding/json"
    "fmt"
    "io/ioutil"
    "os"
)


func main() {

    ibytes, err := ioutil.ReadFile("hello.json")
    if err != nil {
        fmt.Println(err)
        os.Exit(-1)
    }

    var msgs []map[string]interface{}

    err = json.Unmarshal(ibytes, &msgs)
    if err != nil {
        fmt.Println("Serialization Error", err)
        os.Exit(-1)
    }

    for _,msg:=range msgs {
       fmt.Println("%s",msg)
    }
}

我能够迭代各个消息，但不能以友好的格式写入kafka。

Answer 1

我设法用下面的代码自己找到了解决方案

var PlaceHolder  []interface{}
    err=json.Unmarshal(dbytes,&PlaceHolder)
    if err!=nil {
       return errors.New(fmt.Sprintf("Error during JSON Unmarshalling (%s) ",err))
        }

    for _,doc:=range PlaceHolder {
        event,_:=json.Marshal(doc)
        if err!=nil{
             log.Println("Skipping: Error during JSON Marshaling (%s) ",err)
         continue
         }
         KafkaMessage:= &sarama.ProducerMessage{
                Topic: this.Topic,
                Value: sarama.StringEncoder(event),
            }
        msgs=append(msgs,KafkaMessage)
    }