文章目錄

• 概述
• Terms Aggregation官方文檔
• 案例一 ： 統計哪種顏色電視銷量最高
• • 模擬數據
  • 統計哪種顏色的電視銷量最高
  • size 參數 示例
  • • 外層size
    • terms節點下的size

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概述

繼續跟中華石杉老師學習ES，第32篇

課程地址： https://www.roncoo.com/view/55

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Terms Aggregation官方文檔

官方文檔： 戳這里

詳細說明，參考官網即可，下面我們用示例來演示下

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案例一 ： 統計哪種顏色電視銷量最高

模擬數據

創建索引

PUT /tvs {"mappings": {"sales": {"properties": {"price": {"type": "long"},"color": {"type": "keyword"},"brand": {"type": "keyword"},"sold_date": {"type": "date"}}}} }

模擬一批數據

POST /tvs/sales/_bulk { "index": {}} { "price" : 1000, "color" : "紅色", "brand" : "長虹", "sold_date" : "2016-10-28" } { "index": {}} { "price" : 2000, "color" : "紅色", "brand" : "長虹", "sold_date" : "2016-11-05" } { "index": {}} { "price" : 3000, "color" : "綠色", "brand" : "小米", "sold_date" : "2016-05-18" } { "index": {}} { "price" : 1500, "color" : "藍色", "brand" : "TCL", "sold_date" : "2016-07-02" } { "index": {}} { "price" : 1200, "color" : "綠色", "brand" : "TCL", "sold_date" : "2016-08-19" } { "index": {}} { "price" : 2000, "color" : "紅色", "brand" : "長虹", "sold_date" : "2016-11-05" } { "index": {}} { "price" : 8000, "color" : "紅色", "brand" : "三星", "sold_date" : "2017-01-01" } { "index": {}} { "price" : 2500, "color" : "藍色", "brand" : "小米", "sold_date" : "2017-02-12" }

原始數據：

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統計哪種顏色的電視銷量最高

DSL

GET /tvs/sales/_search {"size": 0,"aggs": {"popular_colors": {"terms": {"field": "color"}}} }

解讀：

• size：只獲取聚合結果，而不要執行聚合的原始數據
• aggs：固定語法，要對一份數據執行分組聚合操作
• popular_colors：就是對每個aggs，都要起一個名字，自定義，叫啥都行
• terms：根據字段的值進行分組
• field：根據指定的字段的值進行分組

類比官方介紹

返回結果：

• hits.hits：我們指定了size是0，所以hits.hits就是空的，否則會把執行聚合的那些原始數據給你返回回來
• aggregations：聚合結果
• popular_color：我們指定的某個聚合的名稱
• buckets：根據我們指定的field劃分出的buckets
• key：每個bucket對應的那個值
• doc_count：這個bucket分組內，有多少個數據

類比官網說明

每種顏色對應的bucket中的數據的數量，其實就是這種顏色的銷量

默認的排序規則：按照doc_count降序排序

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size 參數 示例

外層size

當我們 外層不加size的時候，會返回執行聚合的那些原始數據

GET /tvs/sales/_search {"aggs": {"popular_color": {"terms": {"field": "color"}}} }

返回

{"took": 2,"timed_out": false,"_shards": {"total": 5,"successful": 5,"skipped": 0,"failed": 0},"hits": {"total": 8,"max_score": 1,"hits": [{"_index": "tvs","_type": "sales","_id": "QzGrtGwBCp8vhw_gCmb9","_score": 1,"_source": {"price": 2000,"color": "紅色","brand": "長虹","sold_date": "2016-11-05"}},{"_index": "tvs","_type": "sales","_id": "PzGrtGwBCp8vhw_gCmb9","_score": 1,"_source": {"price": 2000,"color": "紅色","brand": "長虹","sold_date": "2016-11-05"}},{"_index": "tvs","_type": "sales","_id": "QDGrtGwBCp8vhw_gCmb9","_score": 1,"_source": {"price": 3000,"color": "綠色","brand": "小米","sold_date": "2016-05-18"}},{"_index": "tvs","_type": "sales","_id": "QjGrtGwBCp8vhw_gCmb9","_score": 1,"_source": {"price": 1200,"color": "綠色","brand": "TCL","sold_date": "2016-08-19"}},{"_index": "tvs","_type": "sales","_id": "RDGrtGwBCp8vhw_gCmb9","_score": 1,"_source": {"price": 8000,"color": "紅色","brand": "三星","sold_date": "2017-01-01"}},{"_index": "tvs","_type": "sales","_id": "PjGrtGwBCp8vhw_gCmb9","_score": 1,"_source": {"price": 1000,"color": "紅色","brand": "長虹","sold_date": "2016-10-28"}},{"_index": "tvs","_type": "sales","_id": "QTGrtGwBCp8vhw_gCmb9","_score": 1,"_source": {"price": 1500,"color": "藍色","brand": "TCL","sold_date": "2016-07-02"}},{"_index": "tvs","_type": "sales","_id": "RTGrtGwBCp8vhw_gCmb9","_score": 1,"_source": {"price": 2500,"color": "藍色","brand": "小米","sold_date": "2017-02-12"}}]},"aggregations": {"popular_color": {"doc_count_error_upper_bound": 0,"sum_other_doc_count": 0,"buckets": [{"key": "紅色","doc_count": 4},{"key": "綠色","doc_count": 2},{"key": "藍色","doc_count": 2}]}} }

當把外層的 size設置為1 ，返回1條執行聚合的那些原始數據

設置為0 ，不返回執行聚合的那些原始數據

terms節點下的size

返回了bucket 中1條數據。

. 不設置時，返回全部的聚合結果 。

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