我正在解析 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 提取到如下结构中:
[{: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}]
关于我应该如何解决这个问题有什么建议吗?
编辑:简化所需的格式
最佳答案
这是使用 clojure.walk/postwalk
执行此操作的另一种方法它不假设固定的嵌套深度,即它可以处理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})
关于parsing - Clojure - 解析 Elasticsearch 查询响应并提取值,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/47438985/