Elasticsearch Search API
當執行一個搜索時，它將這個搜索請求廣播給全部的索引分片。能夠經過提供路由參數來控制要搜索哪些分片。例如，當檢索tweets這個索引時，路由參數能夠設置爲用戶名：html
curl -X POST "localhost:9200/twitter/_search?routing=kimchy" -H 'Content-Type: application/json' -d' { "query": { "bool" : { "must" : { "query_string" : { "query" : "some query string here" } }, "filter" : { "term" : { "user" : "kimchy" } } } } } '
1. Search數據庫
查詢能夠提供一個簡單的查詢字符串做爲參數，也能夠用一個請求體。json
1.1. URI Search數組
這種方式用的不多，就不細說了，舉個例子吧：app
curl -X GET "localhost:9200/product/_search?q=category:honor&sort=price:asc"
1.2. Request Body Searchcurl
一樣，舉個例子：electron
curl -X GET "localhost:9200/twitter/_search" -H 'Content-Type: application/json' -d' { "query" : { "term" : { "user" : "kimchy" } } } '
1.2.1. Queryelasticsearch
能夠用 Query DSL 定義一個queryide
curl -X GET "localhost:9200/_search" -H 'Content-Type: application/json' -d' { "query" : { "term" : { "user" : "kimchy" } } } '
1.2.2. From / Size函數
經過 from 和 size 參數，能夠分頁查詢。from 表示從第幾條開始取，size 表示最多取多少條。from默認值是0，size默認值是10
curl -X GET "localhost:9200/product/_search" -H 'Content-Type: application/json' -d' { "from" : 0, "size" : 10, "query" : { "term" : { "user" : "kimchy" } } } '
1.2.3. Sort
能夠按一個或多個字段排序
有一些特殊的排序字段：_score 表示按分數排序，_doc 表示按索引順序排序
假設有這樣一個索引：
curl -X PUT "localhost:9200/my_index" -H 'Content-Type: application/json' -d' { "mappings": { "_doc": { "properties": { "post_date": { "type": "date" }, "user": { "type": "keyword" }, "name": { "type": "keyword" }, "age": { "type": "integer" } } } } } '
針對這個索引，咱們這樣來查詢：
curl -X GET "localhost:9200/my_index/_search" -H 'Content-Type: application/json' -d' { "sort" : [ { "post_date" : {"order" : "asc"}}, "user", { "name" : "desc" }, { "age" : "desc" }, "_score" ], "query" : { "term" : { "user" : "kimchy" } } } '
這個例子，依次按照 post_date升序、user升序、name降序、age降序、分數升序排序
（PS：_doc是最有效的排序，若是不關心文檔的返回順序的話）
Elasticsearch支持按數組或者多值字段排序，mode選項用來控制基於數組中的那個值來對文檔進行排序。mode選項的可選值有：
- min ：最小值
- max ：最大值
- sum ：用全部值的和來做爲排序值
- avg ：用全部值的平均值做爲排序值
- median ：用全部值的中間值做爲排序值
舉個例子：
curl -X PUT "localhost:9200/my_index/_doc/1?refresh" -H 'Content-Type: application/json' -d' { "product": "chocolate", "price": [20, 4] } ' curl -X POST "localhost:9200/_search" -H 'Content-Type: application/json' -d' { "query" : { "term" : { "product" : "chocolate" } }, "sort" : [ {"price" : {"order" : "asc", "mode" : "avg"}} ] } '
什麼意思呢？也就說，字段的值多是一個數組，或者該字段值有多個，那麼當咱們按這種字段排序的時候就必須肯定在排序的時候這個字段的值是什麼，也就是該字段的排序值
所謂的mode選項就是用來肯定這種字段的最終排序值的，好比：取字段值數組中最小的那個值做爲該字段的排序值，或者取最大、或者平均值等等
上面的例子中，price字段值是一個數組，數組有兩個元素，後面的查詢指定的mode是avg，意味着price字段在排序的時候它的排序值是 (20+4)/2=12
上例中，對結果集按price字段升序排序，price字段的排序值是price字段值求平均
Mission
mission 參數用於指定當文檔沒有這個字段時該如何處理，可選值是：_last 和 _first ，默認是 _last
相似於關係型數據庫中字段爲NULL的記錄都放在最後
curl -X GET "localhost:9200/_search" -H 'Content-Type: application/json' -d' { "sort" : [ { "price" : {"missing" : "_last"} } ], "query" : { "term" : { "product" : "chocolate" } } } '
1.2.4. Source filtering
能夠控制 _source 字段怎樣返回
默認返回 _source字段的內容，固然你能夠設置不返回該字段，例如：
curl -X GET "localhost:9200/_search" -H 'Content-Type: application/json' -d' { "_source": false, "query" : { "term" : { "user" : "kimchy" } } } '
正常狀況下，返回是這樣的：
{ "_index" : "product", "_type" : "_doc", "_id" : "3", "_score" : 1.0, "_source" : { "productName" : "Honor Note10", "category" : "Honor", "price" : 2499 } }
禁用後是這樣的：
{ "_index" : "product", "_type" : "_doc", "_id" : "3", "_score" : 1.0 }
還能夠用通配符，以進一步控制_source中返回那些字段：
curl -X GET "localhost:9200/product/_search?pretty" -H 'Content-Type: application/json' -d' { "_source": "product*", "query" : { "match_all" : {} } } '
或者
curl -X GET "localhost:9200/product/_search?pretty" -H 'Content-Type: application/json' -d' { "_source": ["product*", "abc*"], "query" : { "match_all" : {} } } '
1.2.5. 高亮
curl -X GET "localhost:9200/product/_search?pretty" -H 'Content-Type: application/json' -d' { "query" : { "match" : { "category" : "MI" } }, "highlight" : { "fields" : { "productName": {} } } } '
https://www.elastic.co/guide/en/elasticsearch/reference/current/search-request-highlighting.html
1.2.6. Explain
執行計劃能夠看到分數是怎樣計算出來的
curl -X GET "localhost:9200/_search" -H 'Content-Type: application/json' -d' { "explain": true, "query" : { "term" : { "user" : "kimchy" } } } '
1.3. Count
curl -X GET "localhost:9200/product/_doc/_count?pretty&q=category:honor" curl -X GET "localhost:9200/product/_doc/_count?pretty" -H 'Content-Type: application/json' -d' { "query" : { "term" : { "category" : "honor" } } } ' { "count" : 3, "_shards" : { "total" : 5, "successful" : 5, "skipped" : 0, "failed" : 0 } }
2. Aggregations
至關於關係型數據庫中的彙集函數（或者叫聚合函數）
聚合能夠嵌套！聚合能夠嵌套！！聚合能夠嵌套！！！
聚合主要有4種類型：
- Bucketing
- Mertric
- Matrix
- Pipeline
基本的聚合結構是這樣的：
aggregations 是一個JSON對象，它表明一個聚合。（PS：這個關鍵字也能夠用 aggs )
- 每一個聚合都關聯了一個邏輯名稱（例如：若是聚合計算平均價格，那麼在這個場景下我能夠給這個聚合起個名字叫「avg_price」）
- 在響應結果中，這些邏輯名稱用於惟一標識一個聚合
- 每一個聚合都有一個指定的類型（好比：sum ，avg ，max ，min 等等）
- 每一個聚合類型都定義了本身的body
2.1. Metrics Aggregations
這種類型的聚合是基於以某種方式從聚合的文檔中提取的值來計算度量。這個值一般取自文檔的字段值，也能夠經過腳本計算獲得的。
數值度量聚合是一種特殊的度量聚合，它輸出數值。根據輸出值的多少，分爲單值數值度量聚合（好比：avg）和多值數值度量聚合（好比：stats）。
2.1.1. Avg
從文檔的數值字段中提取值進行計算
假設，咱們的文檔是學生成績（0~100），咱們能夠求平均分數：
curl -X POST "localhost:9200/exams/_search?size=0" -H 'Content-Type: application/json' -d' { "aggs":{ "avg_grade":{ "avg":{ "field":"grade" } } } } '
上面的聚合例子，計算全部學生的平均成績。這裏的聚合類型是avg，field指定哪一個字段用於計算。
再來一個例子：
請求： curl -X POST "localhost:9200/product/_search?size=0" -H 'Content-Type: application/json' -d' { "aggs":{ "avg_price":{ "avg":{ "field":"price" } } } } ' 響應： { "took":13, "timed_out":false, "_shards":{ "total":5, "successful":5, "skipped":0, "failed":0 }, "hits":{ "total":7, "max_score":0, "hits":[ ] }, "aggregations":{ "avg_price":{ "value":2341.5714285714284 } } }
默認狀況下，沒有那個字段的文檔將被忽略（PS：就像關係型數據庫中求平均值時會忽略NULL的記錄同樣），咱們能夠給它指定一個值，例如：
curl -X POST "localhost:9200/exams/_search?size=0" -H 'Content-Type: application/json' -d' { "aggs" : { "grade_avg" : { "avg" : { "field" : "grade", "missing": 10 } } } } '
若是文檔沒有grade字段，那麼用10做爲該字段值參與計算
2.1.2. Sum
從文檔的數值字段中提取值進行計算
請求： curl -X POST "localhost:9200/product/_search?size=0" -H 'Content-Type: application/json' -d' { "query":{ "constant_score":{ "filter":{ "match":{ "category":"vivo" } } } }, "aggs":{ "vivo_prices":{ "sum":{ "field":"price" } } } } ' 響應： { "took":3, "timed_out":false, "_shards":{ "total":5, "successful":5, "skipped":0, "failed":0 }, "hits":{ "total":2, "max_score":0, "hits":[ ] }, "aggregations":{ "vivo_prices":{ "value":3796 } } }
求category字段值匹配vivo的商品的價格總和
至關於，select sum(price) from product where category like '%vivo%' group by category
2.1.3. Max
從文檔的數值字段中提取值進行計算
curl -X POST "localhost:9200/sales/_search?size=0" -H 'Content-Type: application/json' -d' { "aggs" : { "max_price" : { "max" : { "field" : "price" } } } } '
2.1.4. Stats
這是一個多值聚合，它返回 min ，max ，sum ，count ，avg 的組合結果
curl -X POST "localhost:9200/exams/_search?size=0" -H 'Content-Type: application/json' -d' { "aggs" : { "grades_stats" : { "stats" : { "field" : "grade" } } } } '
它的返回多是這樣的：
{ ... "aggregations": { "grades_stats": { "count": 2, "min": 50.0, "max": 100.0, "avg": 75.0, "sum": 150.0 } } }
再來一個例子：
請求： curl -X POST "localhost:9200/product/_search?size=0" -H 'Content-Type: application/json' -d' { "aggs" : { "product_stats" : { "stats" : { "field" : "price" } } } } ' 響應： { "took":4, "timed_out":false, "_shards":{ "total":5, "successful":5, "skipped":0, "failed":0 }, "hits":{ "total":7, "max_score":0, "hits":[ ] }, "aggregations":{ "product_stats":{ "count":7, "min":998, "max":4299, "avg":2341.5714285714284, "sum":16391 } } }
2.2. Bucket Aggregations
能夠理解爲範圍聚合，它的結果是一段一段的，一個一個的bucket
2.2.1. Range
每一個Range包含from，不包含to
前閉後開區間
curl -X GET "localhost:9200/_search" -H 'Content-Type: application/json' -d' { "aggs" : { "price_ranges" : { "range" : { "field" : "price", "ranges" : [ { "to" : 100.0 }, { "from" : 100.0, "to" : 200.0 }, { "from" : 200.0 } ] } } } } '
返回多是這樣的：
{ ... "aggregations": { "price_ranges" : { "buckets": [ { "key": "*-100.0", "to": 100.0, "doc_count": 2 }, { "key": "100.0-200.0", "from": 100.0, "to": 200.0, "doc_count": 2 }, { "key": "200.0-*", "from": 200.0, "doc_count": 3 } ] } } }
再好比：
請求： curl -X GET "localhost:9200/product/_search" -H 'Content-Type: application/json' -d' { "aggs" : { "price_ranges" : { "range" : { "field" : "price", "ranges" : [ { "to" : 1000 }, { "from" : 1000, "to" : 2000 }, { "from" : 2000 } ] } } } } ' 響應： { "took":1, "timed_out":false, "_shards":{ "total":5, "successful":5, "skipped":0, "failed":0 }, "hits":{ "total":7, "max_score":1, "hits":[ { "_index":"product", "_type":"_doc", "_id":"5", "_score":1, "_source":{ "productName":"MI 8", "category":"MI", "price":2499 } }, { "_index":"product", "_type":"_doc", "_id":"2", "_score":1, "_source":{ "productName":"Honor Magic2", "category":"Honor", "price":4299 } }, { "_index":"product", "_type":"_doc", "_id":"4", "_score":1, "_source":{ "productName":"MI Max2", "category":"MI", "price":1099 } }, { "_index":"product", "_type":"_doc", "_id":"6", "_score":1, "_source":{ "productName":"vivo X23", "category":"vivo", "price":2798 } }, { "_index":"product", "_type":"_doc", "_id":"1", "_score":1, "_source":{ "productName":"Honor 10", "category":"Honor", "price":2199 } }, { "_index":"product", "_type":"_doc", "_id":"7", "_score":1, "_source":{ "productName":"vivo Z1", "category":"vivo", "price":998 } }, { "_index":"product", "_type":"_doc", "_id":"3", "_score":1, "_source":{ "productName":"Honor Note10", "category":"Honor", "price":2499 } } ] }, "aggregations":{ "price_ranges":{ "buckets":[ { "key":"*-1000.0", "to":1000, "doc_count":1 }, { "key":"1000.0-2000.0", "from":1000, "to":2000, "doc_count":1 }, { "key":"2000.0-*", "from":2000, "doc_count":5 } ] } } }
代替返回一個數組，能夠設置keyed爲true，這樣能夠給每一個bucket關聯一個位於的字符串key，例如：
curl -X GET "localhost:9200/_search" -H 'Content-Type: application/json' -d' { "aggs" : { "price_ranges" : { "range" : { "field" : "price", "keyed" : true, "ranges" : [ { "to" : 100 }, { "from" : 100, "to" : 200 }, { "from" : 200 } ] } } } } '
因而返回變成這樣了：
{ ... "aggregations": { "price_ranges" : { "buckets": { "*-100.0": { "to": 100.0, "doc_count": 2 }, "100.0-200.0": { "from": 100.0, "to": 200.0, "doc_count": 2 }, "200.0-*": { "from": 200.0, "doc_count": 3 } } } } }
固然，咱們也能夠給每一個範圍區間自定義key：
curl -X GET "localhost:9200/_search" -H 'Content-Type: application/json' -d' { "aggs" : { "price_ranges" : { "range" : { "field" : "price", "keyed" : true, "ranges" : [ { "key" : "cheap", "to" : 100 }, { "key" : "average", "from" : 100, "to" : 200 }, { "key" : "expensive", "from" : 200 } ] } } } } '
返回：
{ ... "aggregations": { "price_ranges" : { "buckets": { "cheap": { "to": 100.0, "doc_count": 2 }, "average": { "from": 100.0, "to": 200.0, "doc_count": 2 }, "expensive": { "from": 200.0, "doc_count": 3 } } } } }
舉個栗子：
請求： curl -X GET "localhost:9200/product/_search" -H 'Content-Type: application/json' -d' { "query": { "match" : { "category" : "honor"} }, "aggs" : { "price_ranges" : { "range" : { "field" : "price", "keyed" : true, "ranges" : [ { "key" : "low", "to" : 1000 }, { "key" : "medium", "from" : 1000, "to" : 2000 }, { "key" : "high", "from" : 2000 } ] } } } } ' 響應： { "took":1, "timed_out":false, "_shards":{ "total":5, "successful":5, "skipped":0, "failed":0 }, "hits":{ "total":3, "max_score":0.9808292, "hits":[ { "_index":"product", "_type":"_doc", "_id":"2", "_score":0.9808292, "_source":{ "productName":"Honor Magic2", "category":"Honor", "price":4299 } }, { "_index":"product", "_type":"_doc", "_id":"1", "_score":0.6931472, "_source":{ "productName":"Honor 10", "category":"Honor", "price":2199 } }, { "_index":"product", "_type":"_doc", "_id":"3", "_score":0.2876821, "_source":{ "productName":"Honor Note10", "category":"Honor", "price":2499 } } ] }, "aggregations":{ "price_ranges":{ "buckets":{ "low":{ "to":1000, "doc_count":0 }, "medium":{ "from":1000, "to":2000, "doc_count":0 }, "high":{ "from":2000, "doc_count":3 } } } } }
2.2.2. Filter
先過濾再聚合
請求： curl -X POST "localhost:9200/product/_search?size=0" -H 'Content-Type: application/json' -d' { "aggs":{ "vivo":{ "filter":{ "term":{ "category":"vivo" } }, "aggs":{ "avg_price":{ "avg":{ "field":"price" } } } } } } ' 響應： { "took":2, "timed_out":false, "_shards":{ "total":5, "successful":5, "skipped":0, "failed":0 }, "hits":{ "total":7, "max_score":0, "hits":[ ] }, "aggregations":{ "vivo":{ "doc_count":2, "avg_price":{ "value":1898 } } } }
2.2.3. Terms Aggregation
至關於關係型數據庫中的分組（group by）
curl -X GET "localhost:9200/_search" -H 'Content-Type: application/json' -d' { "aggs" : { "genres" : { "terms" : { "field" : "genre" } } } } '
返回多是這樣的：
{ ... "aggregations" : { "genres" : { "doc_count_error_upper_bound": 0, "sum_other_doc_count": 0, "buckets" : [ { "key" : "electronic", "doc_count" : 6 }, { "key" : "rock", "doc_count" : 3 }, { "key" : "jazz", "doc_count" : 2 } ] } } }
再舉個例子：
請求： curl -X GET "localhost:9200/product/_search" -H 'Content-Type: application/json' -d' { "aggs" : { "group_by_category" : { "terms" : { "field" : "category" } } } } ' 響應： { "took":16, "timed_out":false, "_shards":{ "total":5, "successful":5, "skipped":0, "failed":0 }, "hits":{ "total":7, "max_score":1, "hits":[ { "_index":"product", "_type":"_doc", "_id":"5", "_score":1, "_source":{ "productName":"MI 8", "category":"MI", "price":2499 } }, { "_index":"product", "_type":"_doc", "_id":"2", "_score":1, "_source":{ "productName":"Honor Magic2", "category":"Honor", "price":4299 } }, { "_index":"product", "_type":"_doc", "_id":"4", "_score":1, "_source":{ "productName":"MI Max2", "category":"MI", "price":1099 } }, { "_index":"product", "_type":"_doc", "_id":"6", "_score":1, "_source":{ "productName":"vivo X23", "category":"vivo", "price":2798 } }, { "_index":"product", "_type":"_doc", "_id":"1", "_score":1, "_source":{ "productName":"Honor 10", "category":"Honor", "price":2199 } }, { "_index":"product", "_type":"_doc", "_id":"7", "_score":1, "_source":{ "productName":"vivo Z1", "category":"vivo", "price":998 } }, { "_index":"product", "_type":"_doc", "_id":"3", "_score":1, "_source":{ "productName":"Honor Note10", "category":"Honor", "price":2499 } } ] }, "aggregations":{ "group_by_category":{ "doc_count_error_upper_bound":0, "sum_other_doc_count":0, "buckets":[ { "key":"honor", "doc_count":3 }, { "key":"mi", "doc_count":2 }, { "key":"vivo", "doc_count":2 } ] } } }
size 能夠用於指定返回多少個term bucket
請求： curl -X GET "localhost:9200/product/_search" -H 'Content-Type: application/json' -d' { "aggs" : { "group_by_category" : { "terms" : { "field" : "category", "size" : 2 } } } } ' 響應： { ... "aggregations":{ "group_by_category":{ "doc_count_error_upper_bound":0, "sum_other_doc_count":2, "buckets":[ { "key":"honor", "doc_count":3 }, { "key":"mi", "doc_count":2 } ] } } }
3. 示例
排序
curl -X POST "localhost:9200/product/_search" -H 'Content-Type: application/json' -d' { "query" : { "term" : { "category" : "honor"} }, "sort" : "price" } ' curl -X POST "localhost:9200/product/_search" -H 'Content-Type: application/json' -d' { "query" : { "term" : { "category" : "honor"} }, "sort" : { "price" : "desc" } } ' curl -X POST "localhost:9200/product/_search" -H 'Content-Type: application/json' -d' { "query" : { "term" : { "category" : "honor"} }, "sort" : { "price" : { "order" : "desc" } } } ' 響應： { "took":1, "timed_out":false, "_shards":{ "total":5, "successful":5, "skipped":0, "failed":0 }, "hits":{ "total":3, "max_score":null, "hits":[ { "_index":"product", "_type":"_doc", "_id":"2", "_score":null, "_source":{ "productName":"Honor Magic2", "category":"Honor", "price":4299 }, "sort":[ 4299 ] }, { "_index":"product", "_type":"_doc", "_id":"3", "_score":null, "_source":{ "productName":"Honor Note10", "category":"Honor", "price":2499 }, "sort":[ 2499 ] }, { "_index":"product", "_type":"_doc", "_id":"1", "_score":null, "_source":{ "productName":"Honor 10", "category":"Honor", "price":2199 }, "sort":[ 2199 ] } ] } }
分組求平均
請求： curl -X GET "localhost:9200/product/_search" -H 'Content-Type: application/json' -d' { "aggs" : { "group_by_category" : { "terms" : { "field" : "category" }, "aggs" : { "avg_price" : { "avg" : { "field" : "price" } } } } } } ' 響應： { "took":2, "timed_out":false, "_shards":{ "total":5, "successful":5, "skipped":0, "failed":0 }, "hits":{ "total":7, "max_score":1, "hits":[ { "_index":"product", "_type":"_doc", "_id":"5", "_score":1, "_source":{ "productName":"MI 8", "category":"MI", "price":2499 } }, { "_index":"product", "_type":"_doc", "_id":"2", "_score":1, "_source":{ "productName":"Honor Magic2", "category":"Honor", "price":4299 } }, { "_index":"product", "_type":"_doc", "_id":"4", "_score":1, "_source":{ "productName":"MI Max2", "category":"MI", "price":1099 } }, { "_index":"product", "_type":"_doc", "_id":"6", "_score":1, "_source":{ "productName":"vivo X23", "category":"vivo", "price":2798 } }, { "_index":"product", "_type":"_doc", "_id":"1", "_score":1, "_source":{ "productName":"Honor 10", "category":"Honor", "price":2199 } }, { "_index":"product", "_type":"_doc", "_id":"7", "_score":1, "_source":{ "productName":"vivo Z1", "category":"vivo", "price":998 } }, { "_index":"product", "_type":"_doc", "_id":"3", "_score":1, "_source":{ "productName":"Honor Note10", "category":"Honor", "price":2499 } } ] }, "aggregations":{ "group_by_category":{ "doc_count_error_upper_bound":0, "sum_other_doc_count":0, "buckets":[ { "key":"honor", "doc_count":3, "avg_price":{ "value":2999 } }, { "key":"mi", "doc_count":2, "avg_price":{ "value":1799 } }, { "key":"vivo", "doc_count":2, "avg_price":{ "value":1898 } } ] } } }
4. 示例索引
curl -X PUT "localhost:9200/product" -H 'Content-Type: application/json' -d' { "mappings" : { "_doc" : { "properties": { "productName": {"type": "text"}, "category": {"type": "text", "fielddata": true}, "price": {"type": "integer"} } } } } ' curl -X POST "localhost:9200/product/_doc/_bulk" -H 'Content-Type: application/json' --data-binary "@product.json" {"index" : {"_id" : "1" } } {"productName" : "Honor 10", "category" : "Honor", "price" : 2199} {"index" : {"_id" : "2" } } {"productName" : "Honor Magic2", "category" : "Honor", "price" : 4299} {"index" : {"_id" : "3" } } {"productName" : "Honor Note10", "category" : "Honor", "price" : 2499} {"index" : {"_id" : "4" } } {"productName" : "MI Max2", "category" : "MI", "price" : 1099} {"index" : {"_id" : "5" } } {"productName" : "MI 8", "category" : "MI", "price" : 2499} {"index" : {"_id" : "6" } } {"productName" : "vivo X23", "category" : "vivo", "price" : 2798} {"index" : {"_id" : "7" } } {"productName" : "vivo Z1", "category" : "vivo", "price" : 998}
5. 參考
https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-metrics.html
https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-bucket.html
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