最近的评论

• 评论了主题 如何取出亂數的每一位數並放在切片中
  ```go package main import "fmt" func main() { a := 123456789 b := make([]int, 0) for a > 0 { b = append([]int{a % 10}, b...) a = a / 10 } fmt.Printf("b:%+v\n", b) } ```
• 评论了主题 go 读取os.Stdin需要回车才能获取，怎么逐个字符的读取
  ``` https://github.com/eiannone/keyboard ``` 这个包能满足你的要求.
• 评论了主题 付费找人解析一个无限嵌套的json
  不能编辑了,最后的 ``` fmt.Println(current, ":", value) ``` 修改为 ``` fmt.Printf("%s : %v(%s)\n", current, value, value.Type) ``` 不然输出的结果和我上面贴的不一样.
• 评论了主题 付费找人解析一个无限嵌套的json
  ```go package main import ( "fmt" "strconv" "strings" "github.com/tidwall/gjson" ) func main() { each(gjson.Parse(js), "") } func each(r gjson.Result, path string) { r.ForEach(func(key, value gjson.Result) bool { var current string // 转义 . 字符,参考资料. // https://github.com/tidwall/gjson#path-syntax // 如果不需要path再次处理json,可以不用转 k := strings.Replace(key.String(), ".", `\.`, -1) if path != "" { current = path + "." + k } else { current = k } if value.IsObject() { each(value, current) } else if value.IsArray() { for i, v := range value.Array() { current = path + "." + strconv.Itoa(i) each(v, current) } } else { fmt.Println(current, ":", value) } return true }) } ``` 转换成 键值对 这样应该比较好处理了吧 ``` took : 596(Number) timed_out : false(False) _shards.total : 11(Number) _shards.successful : 11(Number) _shards.failed : 0(Number) hits.total : 1121497(Number) hits.max_score : 0(Number) aggregations.day\.raw.doc_count_error_upper_bound : 0(Number) aggregations.day\.raw.sum_other_doc_count : 0(Number) aggregations.day\.raw.0.key : 20170418(String) aggregations.day\.raw.0.doc_count : 1121497(Number) aggregations.day\.raw.0.channel\.raw.doc_count_error_upper_bound : 0(Number) aggregations.day\.raw.0.channel\.raw.sum_other_doc_count : 0(Number) aggregations.day\.raw.0.channel\.raw.0.key : channel01(String) aggregations.day\.raw.0.channel\.raw.0.doc_count : 901649(Number) aggregations.day\.raw.0.channel\.raw.0.acttype\.raw.doc_count_error_upper_bound : 0(Number) aggregations.day\.raw.0.channel\.raw.0.acttype\.raw.sum_other_doc_count : 0(Number) aggregations.day\.raw.0.channel\.raw.0.acttype\.raw.0.key : show(String) aggregations.day\.raw.0.channel\.raw.0.acttype\.raw.0.doc_count : 424711(Number) aggregations.day\.raw.0.channel\.raw.0.acttype\.raw.0.ct.value : 143760(Number) aggregations.day\.raw.0.channel\.raw.0.acttype\.raw.1.key : click(String) aggregations.day\.raw.0.channel\.raw.0.acttype\.raw.1.doc_count : 253006(Number) aggregations.day\.raw.0.channel\.raw.0.acttype\.raw.1.ct.value : 114883(Number) aggregations.day\.raw.0.channel\.raw.0.acttype\.raw.2.key : install(String) aggregations.day\.raw.0.channel\.raw.0.acttype\.raw.2.doc_count : 139527(Number) aggregations.day\.raw.0.channel\.raw.0.acttype\.raw.2.ct.value : 68115(Number) aggregations.day\.raw.0.channel\.raw.0.acttype\.raw.3.key : installed(String) aggregations.day\.raw.0.channel\.raw.0.acttype\.raw.3.doc_count : 84405(Number) aggregations.day\.raw.0.channel\.raw.0.acttype\.raw.3.ct.value : 49037(Number) aggregations.day\.raw.0.channel\.raw.1.key : channel02(String) aggregations.day\.raw.0.channel\.raw.1.doc_count : 107639(Number) aggregations.day\.raw.0.channel\.raw.1.acttype\.raw.doc_count_error_upper_bound : 0(Number) aggregations.day\.raw.0.channel\.raw.1.acttype\.raw.sum_other_doc_count : 0(Number) aggregations.day\.raw.0.channel\.raw.1.acttype\.raw.0.key : show(String) aggregations.day\.raw.0.channel\.raw.1.acttype\.raw.0.doc_count : 50364(Number) aggregations.day\.raw.0.channel\.raw.1.acttype\.raw.0.ct.value : 17019(Number) aggregations.day\.raw.0.channel\.raw.1.acttype\.raw.1.key : click(String) aggregations.day\.raw.0.channel\.raw.1.acttype\.raw.1.doc_count : 32334(Number) aggregations.day\.raw.0.channel\.raw.1.acttype\.raw.1.ct.value : 14123(Number) aggregations.day\.raw.0.channel\.raw.1.acttype\.raw.2.key : install(String) aggregations.day\.raw.0.channel\.raw.1.acttype\.raw.2.doc_count : 19891(Number) aggregations.day\.raw.0.channel\.raw.1.acttype\.raw.2.ct.value : 9259(Number) aggregations.day\.raw.0.channel\.raw.1.acttype\.raw.3.key : installed(String) aggregations.day\.raw.0.channel\.raw.1.acttype\.raw.3.doc_count : 5050(Number) aggregations.day\.raw.0.channel\.raw.1.acttype\.raw.3.ct.value : 2922(Number) aggregations.day\.raw.0.channel\.raw.2.key : channel03(String) aggregations.day\.raw.0.channel\.raw.2.doc_count : 69671(Number) aggregations.day\.raw.0.channel\.raw.2.acttype\.raw.doc_count_error_upper_bound : 0(Number) aggregations.day\.raw.0.channel\.raw.2.acttype\.raw.sum_other_doc_count : 0(Number) aggregations.day\.raw.0.channel\.raw.2.acttype\.raw.0.key : show(String) aggregations.day\.raw.0.channel\.raw.2.acttype\.raw.0.doc_count : 26617(Number) aggregations.day\.raw.0.channel\.raw.2.acttype\.raw.0.ct.value : 8229(Number) aggregations.day\.raw.0.channel\.raw.2.acttype\.raw.1.key : click(String) aggregations.day\.raw.0.channel\.raw.2.acttype\.raw.1.doc_count : 22793(Number) aggregations.day\.raw.0.channel\.raw.2.acttype\.raw.1.ct.value : 7812(Number) aggregations.day\.raw.0.channel\.raw.2.acttype\.raw.2.key : install(String) aggregations.day\.raw.0.channel\.raw.2.acttype\.raw.2.doc_count : 19919(Number) aggregations.day\.raw.0.channel\.raw.2.acttype\.raw.2.ct.value : 6165(Number) aggregations.day\.raw.0.channel\.raw.2.acttype\.raw.3.key : installed(String) aggregations.day\.raw.0.channel\.raw.2.acttype\.raw.3.doc_count : 342(Number) aggregations.day\.raw.0.channel\.raw.2.acttype\.raw.3.ct.value : 290(Number) aggregations.day\.raw.0.channel\.raw.3.key : channel04(String) aggregations.day\.raw.0.channel\.raw.3.doc_count : 42511(Number) aggregations.day\.raw.0.channel\.raw.3.acttype\.raw.doc_count_error_upper_bound : 0(Number) aggregations.day\.raw.0.channel\.raw.3.acttype\.raw.sum_other_doc_count : 0(Number) aggregations.day\.raw.0.channel\.raw.3.acttype\.raw.0.key : show(String) aggregations.day\.raw.0.channel\.raw.3.acttype\.raw.0.doc_count : 22565(Number) aggregations.day\.raw.0.channel\.raw.3.acttype\.raw.0.ct.value : 8044(Number) aggregations.day\.raw.0.channel\.raw.3.acttype\.raw.1.key : click(String) aggregations.day\.raw.0.channel\.raw.3.acttype\.raw.1.doc_count : 11601(Number) aggregations.day\.raw.0.channel\.raw.3.acttype\.raw.1.ct.value : 5890(Number) aggregations.day\.raw.0.channel\.raw.3.acttype\.raw.2.key : install(String) aggregations.day\.raw.0.channel\.raw.3.acttype\.raw.2.doc_count : 7208(Number) aggregations.day\.raw.0.channel\.raw.3.acttype\.raw.2.ct.value : 3802(Number) aggregations.day\.raw.0.channel\.raw.3.acttype\.raw.3.key : installed(String) aggregations.day\.raw.0.channel\.raw.3.acttype\.raw.3.doc_count : 1137(Number) aggregations.day\.raw.0.channel\.raw.3.acttype\.raw.3.ct.value : 761(Number) aggregations.day\.raw.0.channel\.raw.4.key : channel05(String) aggregations.day\.raw.0.channel\.raw.4.doc_count : 27(Number) aggregations.day\.raw.0.channel\.raw.4.acttype\.raw.doc_count_error_upper_bound : 0(Number) aggregations.day\.raw.0.channel\.raw.4.acttype\.raw.sum_other_doc_count : 0(Number) aggregations.day\.raw.0.channel\.raw.4.acttype\.raw.0.key : show(String) aggregations.day\.raw.0.channel\.raw.4.acttype\.raw.0.doc_count : 20(Number) aggregations.day\.raw.0.channel\.raw.4.acttype\.raw.0.ct.value : 7(Number) aggregations.day\.raw.0.channel\.raw.4.acttype\.raw.1.key : click(String) aggregations.day\.raw.0.channel\.raw.4.acttype\.raw.1.doc_count : 7(Number) aggregations.day\.raw.0.channel\.raw.4.acttype\.raw.1.ct.value : 2(Number) ```
• 评论了主题 付费找人解析一个无限嵌套的json
  上面的表格没看懂,上面的json转成表格最终结果是什么样子的?