我正在寻找解析Elasticsearch查询响应并将其转换为我自己的格式。响应可能具有嵌套存储桶,并且嵌套级别对于每个查询都是可变的。这是结果的简化版本:
{:bucket-aggregation
{:buckets
[{:key "outer_bucket"
:bucket-aggregation
{:buckets
[{:key "inner_bucket_1"
:bucket-aggregation
{:buckets
[{:key 1510657200000, :sum {:value 25}}
{:key 1510660800000, :sum {:value 50}}]}}
{:key "inner_bucket_2"
:bucket-aggregation
{:buckets
[{:key 1510657200000, :sum {:value 30}}
{:key 1510660800000, :sum {:value 35}}]}}
{:key "inner_bucket_3"
:bucket-aggregation
{:buckets
[{:key 1510657200000, :sum {:value 40}}
{:key 1510660800000, :sum {:value 45}}]}}]}}]}}
我想将:value和:key解压缩到这样的结构中:
[{:key ["outer_bucket" "inner_bucket_1" 1510657200000], :value 25}
{:key ["outer_bucket" "inner_bucket_1" 1510660800000], :value 50}
{:key ["outer_bucket" "inner_bucket_2" 1510657200000], :value 30}
{:key ["outer_bucket" "inner_bucket_2" 1510660800000], :value 35}
{:key ["outer_bucket" "inner_bucket_3" 1510657200000], :value 40}
{:key ["outer_bucket" "inner_bucket_3" 1510660800000], :value 45}]
关于我应该怎么做的任何建议?
编辑:简化所需的格式
答案 0 :(得分:3)
这是使用clojure.walk/postwalk
的另一种方法,它不假定固定的嵌套深度,即它可以使用更浅或更深的嵌套输入。
(clojure.walk/postwalk
(fn [v]
(cond
;; deepest case, pull up sum value
(and (map? v) (:key v) (:sum v))
{:key [(:key v)], :value (get-in v [:sum :value])}
;; pull up unnecessary buckets map wrapper
(and (map? v) (:buckets v))
(flatten (:buckets v))
;; select outer bucket + inner buckets
(and (map? v) (:key v) (:bucket-aggregation v))
(let [outer-key (:key v)
buckets (:bucket-aggregation v)]
(map #(update % :key (fn [k] (into [outer-key] k))) buckets))
;; pass-through
:else v))
(:bucket-aggregation result))
=>
({:key ["outer_bucket" "inner_bucket_1" 1510657200000], :value 25}
{:key ["outer_bucket" "inner_bucket_1" 1510660800000], :value 50}
{:key ["outer_bucket" "inner_bucket_2" 1510657200000], :value 30}
{:key ["outer_bucket" "inner_bucket_2" 1510660800000], :value 35}
{:key ["outer_bucket" "inner_bucket_3" 1510657200000], :value 40}
{:key ["outer_bucket" "inner_bucket_3" 1510660800000], :value 45})
答案 1 :(得分:2)
如果您愿意添加库,可以使用specter:
来实现; assume your data there is in `(def data ...)`
(use 'com.rpl.specter)
(select [:bucket-aggregation :buckets ALL (collect-one :key) ; TODO: extract that reoccuring path
:bucket-aggregation :buckets ALL (collect-one :key)
:bucket-aggregation :buckets ALL (collect-one :key)
:sum :value]
data)
; => [["outer_bucket" "inner_bucket_1" 1510657200000 25]
; => ["outer_bucket" "inner_bucket_1" 1510660800000 50]
; => ["outer_bucket" "inner_bucket_2" 1510657200000 30]
; => ["outer_bucket" "inner_bucket_2" 1510660800000 35]
; => ["outer_bucket" "inner_bucket_3" 1510657200000 40]
; => ["outer_bucket" "inner_bucket_3" 1510660800000 45]]
从这里起,它只是一些塑造:
(map (fn [[k1 k2 k3 v]] {:keys [k1 k2 k3] :value v}) (select ...))
; => ({:keys ["outer_bucket" "inner_bucket_1" 1510657200000], :value 25}
; => {:keys ["outer_bucket" "inner_bucket_1" 1510660800000], :value 50}
; => {:keys ["outer_bucket" "inner_bucket_2" 1510657200000], :value 30}
; => {:keys ["outer_bucket" "inner_bucket_2" 1510660800000], :value 35}
; => {:keys ["outer_bucket" "inner_bucket_3" 1510657200000], :value 40}
; => {:keys ["outer_bucket" "inner_bucket_3" 1510660800000], :value 45})