elasticsearch-搜索

時間 2021-08-15

{
   "settings":{
       "number_of_replicas":1,
       "number_of_shards":3
   },
   "mappings":{
       "IT":{
           "properties":{
               "id":{
                   "type":"long"
               },
               "title":{
                   "type":"text",
                   "analyzer":"ik_max_word"
               },
               "language":{
                   "type":"keyword"
               },
               "author":{
                   "type":"keyword"
               },
               "price":{
                   "type":"double"
               },
               "year":{
                   "type":"date",
                   "format":"yyyy-MM-dd"
               },
               "description":{
                   "type":"text",
                   "analyzer":"ik_max_word"
               }
           }
       }
   }
}

curl -XPOST "http://192.168.31.46:9200/_bulk?pretty" --data-binary @book.json

{"index":{"_index":"books","_type":"IT","_id":"1"}}
{"id":1,"title":"Java編程思想","language":"java","author":"BruceEckel","price":70.20,"punlish_time":"2007-10-01","description":"Java學習必讀經典，殿堂級著作！贏得了全球程序員的廣泛讚譽"}
{"index":{"_index":"books","_type":"IT","_id":"2"}}
{"id":2,"title":"Java程序性能優化","language":"java","author":"葛一鳴","price":46.50,"punlish_time":"2012-08-01","description":"讓你的Java程序更快、更穩定。深入剖析軟件設計層面、代碼層面、JVM虛擬機層面的優化方法"}
{"index":{"_index":"books","_type":"IT","_id":"3"}}
{"id":3,"title":"Python科學計算","language":"python","author":"張若愚","price":81.40,"punlish_time":"2016-05-01","description":"零基礎學python，光盤中作者獨家整合開發winPython運行環境，涵蓋了Python各個擴展庫"}
{"index":{"_index":"books","_type":"IT","_id":"4"}}
{"id":4,"title":"Python基礎教程","language":"python","author":"Helant","price":54.50,"punlish_time":"2014-03-01","description":"經典的Python入門教程，層次鮮明，就夠嚴謹，內容詳實"}
{"index":{"_index":"books","_type":"IT","_id":"5"}}
{"id":5,"title":"Javascript高級程序設計","language":"javascript","author":"NicholasC.Zakas","price":66.40,"punlish_time":"2012-10-01","description":"JavaScript技術經典著作"}

{
"took" : 1511,
"errors" : false,
"items" : [
{
"index" : {
"_index" : "books",
"_type" : "IT",
"_id" : "1",
"_version" : 1,
"result" : "created",
"_shards" : {
"total" : 2,
"successful" : 2,
"failed" : 0
},
"created" : true,
"status" : 201
}
},
{
"index" : {
"_index" : "books",
"_type" : "IT",
"_id" : "2",
"_version" : 1,
"result" : "created",
"_shards" : {
"total" : 2,
"successful" : 2,
"failed" : 0
},
"created" : true,
"status" : 201
}
},
{
"index" : {
"_index" : "books",
"_type" : "IT",
"_id" : "3",
"_version" : 1,
"result" : "created",
"_shards" : {
"total" : 2,
"successful" : 2,
"failed" : 0
},
"created" : true,
"status" : 201
}
},
{
"index" : {
"_index" : "books",
"_type" : "IT",
"_id" : "4",
"_version" : 1,
"result" : "created",
"_shards" : {
"total" : 2,
"successful" : 2,
"failed" : 0
},
"created" : true,
"status" : 201
}
},
{
"index" : {
"_index" : "books",
"_type" : "IT",
"_id" : "5",
"_version" : 1,
"result" : "created",
"_shards" : {
"total" : 2,
"successful" : 2,
"failed" : 0
},
"created" : true,
"status" : 201
}
}
]
}

curl -XGET http://192.168.31.46:9200/books/_search -d '{"query":{"match_all":{}}}'

{
"took": 2,
"timed_out": false,
"_shards": {
"total": 3,
"successful": 3,
"failed": 0
},
"hits": {
"total": 5,
"max_score": 1,
"hits": [
{
"_index": "books",
"_type": "IT",
"_id": "2",
"_score": 1,
"_source": {
"id": 2,
"title": "Java程序性能優化",
"language": "java",
"author": "葛一鳴",
"price": 46.5,
"punlish_time": "2012-08-01",
"description": "讓你的Java程序更快、更穩定。深入剖析軟件設計層面、代碼層面、JVM虛擬機層面的優化方法"
}
},
{
"_index": "books",
"_type": "IT",
"_id": "4",
"_score": 1,
"_source": {
"id": 4,
"title": "Python基礎教程",
"language": "python",
"author": "Helant",
"price": 54.5,
"punlish_time": "2014-03-01",
"description": "經典的Python入門教程，層次鮮明，就夠嚴謹，內容詳實"
}
},
{
"_index": "books",
"_type": "IT",
"_id": "5",
"_score": 1,
"_source": {
"id": 5,
"title": "Javascript高級程序設計",
"language": "javascript",
"author": "NicholasC.Zakas",
"price": 66.4,
"punlish_time": "2012-10-01",
"description": "JavaScript技術經典著作"
}
},
{
"_index": "books",
"_type": "IT",
"_id": "1",
"_score": 1,
"_source": {
"id": 1,
"title": "Java編程思想",
"language": "java",
"author": "BruceEckel",
"price": 70.2,
"punlish_time": "2007-10-01",
"description": "Java學習必讀經典，殿堂級著作！贏得了全球程序員的廣泛讚譽"
}
},
{
"_index": "books",
"_type": "IT",
"_id": "3",
"_score": 1,
"_source": {
"id": 3,
"title": "Python科學計算",
"language": "python",
"author": "張若愚",
"price": 81.4,
"punlish_time": "2016-05-01",
"description": "零基礎學python，光盤中作者獨家整合開發winPython運行環境，涵蓋了Python各個擴展庫"
}
}
]
}
}

下面以term query爲例介紹如何進行此項搜搜、分頁限制、返回指定字段、顯示版本號、控制最小評分、關鍵字的高亮

term查詢查找指定字段中包含給定單詞的文檔，不被解析，精確匹配

POST http://192.168.31.46:9200/books/_search

{
   "query":
   {
       "term":{
           "title":"思想"
       }
   }
}

{
"took": 2,
"timed_out": false,
"_shards": {
"total": 3,
"successful": 3,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 0.6099695,
"hits": [
{
"_index": "books",
"_type": "IT",
"_id": "1",
"_score": 0.6099695,
"_source": {
"id": 1,
"title": "Java編程思想",
"language": "java",
"author": "BruceEckel",
"price": 70.2,
"punlish_time": "2007-10-01",
"description": "Java學習必讀經典，殿堂級著作！贏得了全球程序員的廣泛讚譽"
}
}
]
}
}

提供了基於最小評分的過濾機制。構造查詢語句、控制查詢規模、返回查詢文檔版本號、返回文檔部分字段、設置最小評分、關鍵詞高亮

POST http://192.168.31.46:9200/books/_search

{
   "min_score":0.7,
   "version":true,
   "from":0,
   "size":2,
   "_source":["title","author"],
   "query":
   {
       "term":{
           "title":"java"
       }
   },
   "highlight":{
       "fields":{
           "title":{}
       }
   }
}

{
"took": 111,
"timed_out": false,
"_shards": {
"total": 3,
"successful": 3,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 0.8882085,
"hits": [
{
"_index": "books",
"_type": "IT",
"_id": "2",
"_version": 1,
"_score": 0.8882085,
"_source": {
"author": "葛一鳴",
"title": "Java程序性能優化"
},
"highlight": {
"title": [
"<em>Java</em>程序性能優化"
]
}
}
]
}
}

全文查詢

match query 會對查詢語句進行分詞，分詞後查詢語句中的的任何一個詞項匹配，就會被搜到，想查匹配所有關鍵詞的文檔，可用and操作符連接。

http://192.168.31.46:9200/books/_search

{
   "query":{
       "match":{
           "title":{
               "query":"java編程思想",
               "operator":"or"
           }
       }
   }
}

{
"took": 20,
"timed_out": false,
"_shards": {
"total": 3,
"successful": 3,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 1.8299085,
"hits": [
{
"_index": "books",
"_type": "IT",
"_id": "1",
"_score": 1.8299085,
"_source": {
"id": 1,
"title": "Java編程思想",
"language": "java",
"author": "BruceEckel",
"price": 70.2,
"punlish_time": "2007-10-01",
"description": "Java學習必讀經典，殿堂級著作！贏得了全球程序員的廣泛讚譽"
}
},
{
"_index": "books",
"_type": "IT",
"_id": "2",
"_score": 0.8882085,
"_source": {
"id": 2,
"title": "Java程序性能優化",
"language": "java",
"author": "葛一鳴",
"price": 46.5,
"punlish_time": "2012-08-01",
"description": "讓你的Java程序更快、更穩定。深入剖析軟件設計層面、代碼層面、JVM虛擬機層面的優化方法"
}
}
]
}
}

match_phrase query

把query內容分詞，分詞器可定義1 分詞後所有詞項都要出現在該字段中 2 字段中的詞項順序要一致

match_phrase_prefix query 支持最後一個term前綴匹配

multi_match query

{
   "query":{
       "multi_match":{
           "query":"java編程",
           "fields":[
               "title^3","description"]//指定搜索字段的權重
       }
   }
}

common_term query

query_string query

simple_query_string

詞項查詢

terms query

查詢文檔中包含多個詞的文檔，

POST http://192.168.31.46:9200/books/_search

{
"took": 86,
"timed_out": false,
"_shards": {
"total": 3,
"successful": 3,
"failed": 0
},
"hits": {
"total": 4,
"max_score": 1.0131714,
"hits": [
{
"_index": "books",
"_type": "IT",
"_id": "4",
"_score": 1.0131714,
"_source": {
"id": 4,
"title": "Python基礎教程",
"language": "python",
"author": "Helant",
"price": 54.5,
"punlish_time": "2014-03-01",
"description": "經典的Python入門教程，層次鮮明，就夠嚴謹，內容詳實"
}
},
{
"_index": "books",
"_type": "IT",
"_id": "2",
"_score": 0.8882085,
"_source": {
"id": 2,
"title": "Java程序性能優化",
"language": "java",
"author": "葛一鳴",
"price": 46.5,
"punlish_time": "2012-08-01",
"description": "讓你的Java程序更快、更穩定。深入剖析軟件設計層面、代碼層面、JVM虛擬機層面的優化方法"
}
},
{
"_index": "books",
"_type": "IT",
"_id": "1",
"_score": 0.6099695,
"_source": {
"id": 1,
"title": "Java編程思想",
"language": "java",
"author": "BruceEckel",
"price": 70.2,
"punlish_time": "2007-10-01",
"description": "Java學習必讀經典，殿堂級著作！贏得了全球程序員的廣泛讚譽"
}
},
{
"_index": "books",
"_type": "IT",
"_id": "3",
"_score": 0.6099695,
"_source": {
"id": 3,
"title": "Python科學計算",
"language": "python",
"author": "張若愚",
"price": 81.4,
"punlish_time": "2016-05-01",
"description": "零基礎學python，光盤中作者獨家整合開發winPython運行環境，涵蓋了Python各個擴展庫"
}
}
]
}
}

range query

POST http://192.168.31.46:9200/books/_search

{
   "query":{
       "range":{
           "price":{
               "gt":50,
               "lt":70
           }
       }
   }
}

{
"took": 50,
"timed_out": false,
"_shards": {
"total": 3,
"successful": 3,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 1,
"hits": [
{
"_index": "books",
"_type": "IT",
"_id": "4",
"_score": 1,
"_source": {
"id": 4,
"title": "Python基礎教程",
"language": "python",
"author": "Helant",
"price": 54.5,
"punlish_time": "2014-03-01",
"description": "經典的Python入門教程，層次鮮明，就夠嚴謹，內容詳實"
}
},
{
"_index": "books",
"_type": "IT",
"_id": "5",
"_score": 1,
"_source": {
"id": 5,
"title": "Javascript高級程序設計",
"language": "javascript",
"author": "NicholasC.Zakas",
"price": 66.4,
"punlish_time": "2012-10-01",
"description": "JavaScript技術經典著作"
}
}
]
}
}

{
   "query":{
       "range":{
           "punlish_time":{
               "gt":"2016-01-01",
               "lt":"2016-12-31",
               "format":"yyyy-MM-dd"
           }
       }
   }
}

{
   "query":{
       "exists":{
           "field":"author"
       }
   }
}

prefix query

{
   "query":{
       "prefix":{
           "description":"win"
       }
   }
}

wildcard query消耗資源

{
   "query":{
       "wildcard":{
           "author":"張若*"
       }
   }
}

regexp query

{
   "query":{
       "regexp":{
           "postcode":"W0-9].+"
       }
   }
}

fuzzy query，

編輯距離又稱Levenshtein距離，兩個字串之間，由一個轉成另一個所需的最小編輯操作次數。許可的編輯操作替換，插入，刪除。fuzzy查詢就是計算詞項與文檔的編輯距離來得結果的。

{
   "query":{
       "fuzzy":{
           "title":"javascritp"
       }
   }
}

type query

{
   "query":{
       "type":{
           "value":"IT"
       }
   }
}

ids query

{
   "query":{
       "ids":{
           "type":"IT",
           "values":["1","3","5"]
       }
   }
}

複合查詢

constant_score query 包裝一個其他的類型的查詢，並返回匹配過濾器中的查詢條件且具有相同評分的文檔

{
   "query":{
       "constant_score":{
           "filter":{
               "term":{
                   "title":"java"
               }
           }
       }
   }
}

bool query 組合多個簡單查詢，must should must_not filter(只過濾，不評分）

{
   "query":{
       "bool":{
           "minimum_should_match":1,
           "must":{
               "match":{
                   "title":"java"
               }
           },
           "should":{
               "match":{
                   "description":"虛擬機"
               }
           },
           "must_not":{
               "range":{
                   "price":{
                       "gte":70
                   }
               }
           }
       }
   }
}

dis_max query

function_score query 可以修改查詢的文檔得分，

boosting query

indices query

嵌套查詢

nested query 文檔中可能包含嵌套類型的字段，這些字段用來索引一些數組對象，每個對象可以作爲一條獨立的文檔被查詢出來

搜索高亮

自定義高亮片段

多字段高亮

http://192.168.31.46:9200/books/_search

{
   "query":{
       "match":{
           "title":"javascript"
       }
   },
   "highlight":{
       "require_field_match":false,
       "fields":{
           "title":{},
           "description":{}
       }
   }
}

高亮性能分析

es提供了三種高亮器，默認的highlighter高亮器，postings-highlighter，fast-vector-highlighter

highlighter高亮器實現高亮功能需要對_source中保存的原始文檔進行二次分析，速度最慢，但不需要額外的存儲空間

postings-highlighter不需要二次分析，但需要在字段的映射中設置index_options`參數的取值爲offsets，即保存關鍵詞的偏移量，速度快於默認的highlight。

fast-vector-highlighter速度最快，需要在字段的映射中設置term_vector參數的取值爲with_positions_offsets,及保存關鍵詞的位置和偏移信息，佔用的存儲空間更大，空間換時間。

搜索排序

{
   "query":{
       "match_all":{}
   },
   "sort":
       [{
           "_doc":{
               "order":"asc"
           }
       }]
}

多字段排序

{
   "sort":[
       {
           "price":{
               "order":"desc"
           }

       },
       {
           "year":{
               "order":"asc"
           }
       }
       ]
}

分片影響評分

elasticsearch5。4之後對於text類型的字段，默認BM25評分模型，而不是基於tf-idf的向量空間模型，評分模型的選擇可以通過similarity參數在映射中指定，elasticsearch是在每個分片上單獨打分的，分片的數量會影響打分的結果

聚合索引

指標聚合，桶聚合，管道聚合，矩陣聚合四大類，

指標聚合

max aggregation，

{
   "size":0,
   "aggs":{
       "max_price":{
           "max":{
               "field":"price"
           }
       }
   }
}

{
"took": 62,
"timed_out": false,
"_shards": {
"total": 3,
"successful": 3,
"failed": 0
},
"hits": {
"total": 5,
"max_score": 0,
"hits": []
},
"aggregations": {
"max_price": {
"value": 81.4
}
}
}

Min aggregation

{
   "size":0,
   "aggs":{
       "min_year":{
           "min":{
               "field":"punlish_time"
           }
       }
   }
}

Avg aggregation

{
   "size":0,
   "aggs":{
       "avg_price":{
           "avg":{
               "field":"price"
           }
       }
   }
}

sum aggregation

{
"took": 69,
"timed_out": false,
"_shards": {
"total": 3,
"successful": 3,
"failed": 0
},
"hits": {
"total": 5,
"max_score": 0,
"hits": []
},
"aggregations": {
"sum_price": {
"value": 319
}
}
}

Cardinality aggregation

基數統計，先執行類似SQL中的distinct操作，去掉集合中的重複項，然後統計排重後的集合的長度。

{
   "size":0,
   "aggs":{
       "all_lan":{
           "cardinality":{
               "field":"language"
           }
       }
   }
}

stats aggregation

{
   "size":0,
   "aggs":{
       "grade_stats":{
           "stats":{
               "field":"price"
           }
       }
   }
}

extended stats aggregation

多出平方和，方差，標準差，平均值加/減兩個標準差的區間。

{
   "size":0,
   "aggs":{
       "grade_stats":{
           "extended_stats":{
               "field":"price"
           }
       }
   }
}

{
"took": 1,
"timed_out": false,
"_shards": {
"total": 3,
"successful": 3,
"failed": 0
},
"hits": {
"total": 5,
"max_score": 0,
"hits": []
},
"aggregations": {
"grade_stats": {
"count": 5,
"min": 46.5,
"max": 81.4,
"avg": 63.8,
"sum": 319,
"sum_of_squares": 21095.46,
"variance": 148.65199999999967,
"std_deviation": 12.19229264740638,
"std_deviation_bounds": {
"upper": 88.18458529481276,
"lower": 39.41541470518724
}
}
}
}

percentile aggregation

百分數統計，某一百分位對應數據的值

{
   "size":0,
   "aggs":{
       "book_price":{
           "percentiles":{
               "field":"price"
           }
       }
   }
}

"aggregations": {
"book_price": {
"values": {
"1.0": 46.82,
"5.0": 48.1,
"25.0": 54.5,
"50.0": 66.4,
"75.0": 70.2,
"95.0": 79.16,
"99.0": 80.95200000000001
}
}
}

value count aggregation 按字段統計文檔數量

{
   "size":0,
   "aggs":{
       "doc_count":{
           "value_count":{
               "field":"author"
           }
       }
   }
}

包含author字段的文檔數量

桶聚合

group by

就是符合某一劃分標準的文檔集合

terms aggregation

{
   "size":0,
   "aggs":{
       "per_count":{
           "terms":{
               "field":"language"
           }
       }
   }
}

"aggregations": {
"per_count": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "java",
"doc_count": 2
},
{
"key": "python",
"doc_count": 2
},
{
"key": "javascript",
"doc_count": 1
}
]
}
}

{
   "size":0,
   "aggs":{
       "per_count":{
           "terms":{
               "field":"language"
           },
           "aggs":{
           "avg_price":{
           "avg":{
           "field": "price"
           }
           }
           }
       }
   }
}

Filter aggregation

{
   "size":0,
   "aggs":{
       "java_avg_price":{
       "filter": {
       "term":{
       "title":"java"
       }
       },
       "aggs":{
           "avg_price":{
               "avg":{
       "field":"price"
       }
           }
       }
       }
   }
}

"aggregations": {
"java_avg_price": {
"doc_count": 2,
"avg_price": {
"value": 58.35
}
}
}

filters aggregation

{
   "size":0,
   "aggs":{
       "java_avg_price":{
       "filters": {
           "filters":[
               {
                   "match":{
                       "title":"java"
                   }
               },
               {
                   "match":{
                       "title":"python"
                   }
               }
               ]

       },
       "aggs":{
           "avg_price":{
               "avg":{
       "field":"price"
       }
           }

       }
       }
   }
}

{
"took": 115,
"timed_out": false,
"_shards": {
"total": 3,
"successful": 3,
"failed": 0
},
"hits": {
"total": 5,
"max_score": 0,
"hits": []
},
"aggregations": {
"java_avg_price": {
"buckets": [
{
"doc_count": 2,
"avg_price": {
"value": 58.35
}
},
{
"doc_count": 2,
"avg_price": {
"value": 67.95
}
}
]
}
}
}

range aggregation

{
   "size":0,
   "aggs":{
       "price_ranges":{
           "range":{
               "field":"price",
               "ranges":[
                   {
                       "to":50
                   },
                   {
                       "from":50,
                       "to":80
                   },
                   {
                       "from":80
                   }
               ]
           }
       }
   }
}

{
"took": 2,
"timed_out": false,
"_shards": {
"total": 3,
"successful": 3,
"failed": 0
},
"hits": {
"total": 5,
"max_score": 0,
"hits": []
},
"aggregations": {
"price_ranges": {
"buckets": [
{
"key": "*-50.0",
"to": 50,
"doc_count": 1
},
{
"key": "50.0-80.0",
"from": 50,
"to": 80,
"doc_count": 3
},
{
"key": "80.0-*",
"from": 80,
"doc_count": 1
}
]
}
}
}

{
   "size":0,
   "aggs":{
       "range":{
           "date_range":{
               "field":"punlish_time",
               "format":"yyyy-MM-dd",
               "ranges":[
                   {
                       "to":"2013-09-01"
                   },
                   {
                       "from":"2013-09-01",
                       "to":"2014-09-01"
                   },
                   {
                       "from":"2014-09-01"
                   }
               ]
           }
       }
   }
}

{
"took": 56,
"timed_out": false,
"_shards": {
"total": 3,
"successful": 3,
"failed": 0
},
"hits": {
"total": 5,
"max_score": 0,
"hits": []
},
"aggregations": {
"range": {
"buckets": [
{
"key": "*-2013-09-01",
"to": 1377993600000,
"to_as_string": "2013-09-01",
"doc_count": 3
},
{
"key": "2013-09-01-2014-09-01",
"from": 1377993600000,
"from_as_string": "2013-09-01",
"to": 1409529600000,
"to_as_string": "2014-09-01",
"doc_count": 1
},
{
"key": "2014-09-01-*",
"from": 1409529600000,
"from_as_string": "2014-09-01",
"doc_count": 1
}
]
}
}
}

date range aggregation

{
   "size":0,
   "aggs":{
       "range":{
           "date_range":{
               "field":"punlish_time",
               "format":"yyyy-MM-dd",
               "ranges":[
                   {
                       "to":"now-12M/M",
                       "from":"now-36M/M"
                   }
               ]
           }
       }
   }
}

"aggregations": {
"range": {
"buckets": [
{
"key": "2015-09-01-2017-09-01",
"from": 1441065600000,
"from_as_string": "2015-09-01",
"to": 1504224000000,
"to_as_string": "2017-09-01",
"doc_count": 1
}
]
}
}

date Histogram aggregation

{
   "size":0,
   "aggs":{
       "books_over_time":{
           "date_histogram":{
               "field":"punlish_time",
               "interval":"year"
           }
       }
   }
}

{
"took": 137,
"timed_out": false,
"_shards": {
"total": 3,
"successful": 3,
"failed": 0
},
"hits": {
"total": 5,
"max_score": 0,
"hits": []
},
"aggregations": {
"books_over_time": {
"buckets": [
{
"key_as_string": "2007-01-01T00:00:00.000Z",
"key": 1167609600000,
"doc_count": 1
},
{
"key_as_string": "2008-01-01T00:00:00.000Z",
"key": 1199145600000,
"doc_count": 0
},
{
"key_as_string": "2009-01-01T00:00:00.000Z",
"key": 1230768000000,
"doc_count": 0
},
{
"key_as_string": "2010-01-01T00:00:00.000Z",
"key": 1262304000000,
"doc_count": 0
},
{
"key_as_string": "2011-01-01T00:00:00.000Z",
"key": 1293840000000,
"doc_count": 0
},
{
"key_as_string": "2012-01-01T00:00:00.000Z",
"key": 1325376000000,
"doc_count": 2
},
{
"key_as_string": "2013-01-01T00:00:00.000Z",
"key": 1356998400000,
"doc_count": 0
},
{
"key_as_string": "2014-01-01T00:00:00.000Z",
"key": 1388534400000,
"doc_count": 1
},
{
"key_as_string": "2015-01-01T00:00:00.000Z",
"key": 1420070400000,
"doc_count": 0
},
{
"key_as_string": "2016-01-01T00:00:00.000Z",
"key": 1451606400000,
"doc_count": 1
}
]
}
}
}

Missing aggregation空值聚合，把文檔中所有缺失字段的文檔放到一個桶中。

{
   "size":0,
   "aggs":{
       "books_without_price":{
               "missing":{
                   "field":"price"
               }

       }
   }
}

{
"took": 20,
"timed_out": false,
"_shards": {
"total": 3,
"successful": 3,
"failed": 0
},
"hits": {
"total": 5,
"max_score": 0,
"hits": []
},
"aggregations": {
"books_without_price": {
"doc_count": 0
}
}
}

children aggregation

根據父子文檔關係進行分桶

put http://192.168.31.46:9200/company

{
   "mappings":{
       "branch":{},
       "employee":{
           "_parent":{
               "type":"branch"
           }
       }
   }
}

curl -XPOST http://192.168.31.46:9200/companh/branch/_bulk -d '

{"index":{"_id":"london"}}

{"name":"London Westminster","city":"London","country":"UK"}

{"index":{"_id":"leverpool"}}

{"name":"Liverpool Centreal","city":"Liverpool","country":"UK"}

{"index":{"_id":"paris"}}

{"name":"Champs Elysees","city":"Paris","country":"France"}

{
"took": 35,
"errors": false,
"items": [
{
"index": {
"_index": "company",
"_type": "branch",
"_id": "london",
"_version": 5,
"result": "updated",
"_shards": {
"total": 3,
"successful": 3,
"failed": 0
},
"created": false,
"status": 200
}
},
{
"index": {
"_index": "company",
"_type": "branch",
"_id": "leverpool",
"_version": 4,
"result": "updated",
"_shards": {
"total": 3,
"successful": 3,
"failed": 0
},
"created": false,
"status": 200
}
},
{
"index": {
"_index": "company",
"_type": "branch",
"_id": "paris",
"_version": 1,
"result": "created",
"_shards": {
"total": 3,
"successful": 3,
"failed": 0
},
"created": true,
"status": 201
}
}
]
}

{"index":{"_id":1,"parent":"london"}}
{"name":"Alice Smith","dob":"1970-10-24","hobby":"hiking"}
{"index":{"_id":2,"parent":"london"}}
{"name":"Mark Tomes","dob":"1982-05-16","hobby":"diving"}
{"index":{"_id":3,"parent":"liverpool"}}
{"name":"Barry Smith","dob":"1979-04-01","hobby":"hiking"}
{"index":{"_id":4,"parent":"paris"}}
{"name":"Adrien Grand","dob":"1987-05-11","hobby":"horses"}

{
"took": 277,
"errors": false,
"items": [
{
"index": {
"_index": "company",
"_type": "employee",
"_id": "1",
"_version": 1,
"result": "created",
"_shards": {
"total": 3,
"successful": 3,
"failed": 0
},
"created": true,
"status": 201
}
},
{
"index": {
"_index": "company",
"_type": "employee",
"_id": "2",
"_version": 1,
"result": "created",
"_shards": {
"total": 3,
"successful": 3,
"failed": 0
},
"created": true,
"status": 201
}
},
{
"index": {
"_index": "company",
"_type": "employee",
"_id": "3",
"_version": 1,
"result": "created",
"_shards": {
"total": 3,
"successful": 3,
"failed": 0
},
"created": true,
"status": 201
}
},
{
"index": {
"_index": "company",
"_type": "employee",
"_id": "4",
"_version": 1,
"result": "created",
"_shards": {
"total": 3,
"successful": 3,
"failed": 0
},
"created": true,
"status": 201
}
}
]
}

通過子文檔查詢父文檔要使用has_child查詢。查詢1980年後出生的所在的分支機構，

GET company/branch/_search
{
"query": {
"has_child": {
"type": "employee",
"query": {
"range": {
"dob": {
"gte": "1980-01-01"
}
}
}
}
}
}

{
"took": 1162,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 1,
"hits": [
{
"_index": "company",
"_type": "branch",
"_id": "paris",
"_score": 1,
"_source": {
"name": "Champs Elysees",
"city": "Paris",
"country": "France"
}
},
{
"_index": "company",
"_type": "branch",
"_id": "london",
"_score": 1,
"_source": {
"name": "London Westminster",
"city": "London",
"country": "UK"
}
}
]
}
}

GET company/branch/_search
{
"query": {
"has_child": {
"type": "employee",
"score_mode": "max",
"query": {
"match": {
"name": "Alice Smith"
}
}
}
}
}

{
"took": 82,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 1.2039728,
"hits": [
{
"_index": "company",
"_type": "branch",
"_id": "london",
"_score": 1.2039728,
"_source": {
"name": "London Westminster",
"city": "London",
"country": "UK"
}
}
]
}
}

Children aggregation

是一種單桶聚合，根據父子關係進行分桶，

GET company/_search
{
"size": 0,
"aggs": {
"to_answers": {
"children": {
"type": "employee"
}
}
}
}

"aggregations": { "to_answers": { "doc_count": 3 } }