增刪改

注：以下HTTP請求省略ip和端口，例如

"http://192.168.181.130:9200/megacorp/employee/aaa" 將簡寫為 "/megacorp/employee/aaa" 

官方API
https://www.elastic.co/guide/cn/elasticsearch/guide/current/search-in-depth.html
1.增加、更新文檔

#當該文檔存在時將進行更新
PUT /megacorp/employee/aaa
{
"first_name" : "John",
"last_name" : "Smith",
"age" : 25,
"about" : "I love to go rock climbing",
"interests": [ "sports", "music" ]
}
#megacorp--> 索引名稱
#employee-->類型
#aaa-->文檔的id

局部更新

POST /megacorp/employee/aaa/_update
{
  "doc": {
    "last_name": "f1lk"
  }
}

2.刪除文檔

DELETE /megacorp/employee/aaa

文檔的檢索

1.根據(jù)索引、 類型和ID

GET /megacorp/employee/aaa

2.根據(jù)索引和類型

#返回megacorp索引的所有employee數(shù)據(jù)
GET /megacorp/employee/_search

3.簡單條件查詢

GET /megacorp/employee/_search?q=last_name:Smith

4使用DSL語句查詢
DSL(Domain Specific Language特定領(lǐng)域語言)以JSON請求體的形式出現(xiàn)

#match-->分詞模式匹配計算相關(guān)性
POST /megacorp/employee/_search
{
  "query": {
    "match": {
      "last_name": "Smith"
    }
  }
}

#短語搜索 模糊匹配
POST /megacorp/employee/_search
{
  "query": {
    "match_phrase": {
      "about": "rock climbing"
    }
  }
}

5.聚合
5.x的版本的聚合這些操作用單獨的數(shù)據(jù)結(jié)構(gòu)(fielddata)緩存到內(nèi)存里了，故做聚合前需要針對text類型的字段的聚合設置開啟（一般不建議對text 類型做分組聚合）,其他類型的字段無需設置
簡單來說就是在聚合前執(zhí)行如下操作

PUT megacorp/_mapping/employee/
{
  "properties": {
    "interests": { 
      "type":     "text",
      "fielddata": true
    }
  }
}

這樣就可以針對"interests"字段做聚合搜索了

POST /megacorp/employee/_search 
{ 
  "aggs": { 
    "all_interests": { 
      "terms": { "field": "interests" } 
    } 
  } 
}