Easticsearch官網《Elasticsearch權威指南》筆記2——文檔基本操作

創建文檔

PUT /megacorp/employee/1
{
    "first_name" : "John",
    "last_name" :  "Smith",
    "age" :        25,
    "about" :      "I love to go rock climbing",
    "interests": [ "sports", "music" ]
}

路徑 /megacorp/employee/1 包含了三部分的信息：

• megacorp
  索引名稱
• employee
  類型名稱
• 1
  特定僱員的ID

獲取文檔

GET /megacorp/employee/1

返回結果

{
  "_index" :   "megacorp",
  "_type" :    "employee",
  "_id" :      "1",
  "_version" : 1,
  "found" :    true,
  "_source" :  {
      "first_name" :  "John",
      "last_name" :   "Smith",
      "age" :         25,
      "about" :       "I love to go rock climbing",
      "interests":  [ "sports", "music" ]
  }
}

帶_的是一系列元數據，_source是原始的JSON文檔

更新文檔

PUT /megacorp/employee/1
{
    "first_name" : "John",
    "last_name" :  "Smith",
    "age" :        26,
    "about" :      "I love to go rock climbing",
    "interests": [ "sports", "music", "movies" ]
}

再次GET /megacorp/employee/1返回結果：

{
  "_index": "megacorp",
  "_type": "employee",
  "_id": "1",
  "_version": 2,
  "found": true,
  "_source": {
    "first_name": "John",
    "last_name": "Smith",
    "age": 26,
    "about": "I love to go rock climbing",
    "interests": [
      "sports",
      "music",
      "movies"
    ]
  }
}

age、_version都發生了變化

刪除文檔

DELETE /megacorp/employee/1

head

head方法確定文檔是否存在，但是不能在sense裏面使用，因爲只返回header而不返回JSON文檔

簡單搜索

GET /megacorp/employee/_search
返回結果包括了所有三個文檔，放在數組 hits 中。一個搜索默認返回十條結果。

搜索姓氏爲 Smith 的僱員
GET /megacorp/employee/_search?q=last_name:Smith