轻量搜索edit

一个 GET 是相当简单的,可以直接得到指定的文档。 现在尝试一下稍微高级点的功能,比如一个简单的搜索!

第一个尝试的几乎是最简单的搜索了。我们使用下列请求来搜索所有雇员:

GET /megacorp/employee/_search

可以看到,我们仍然使用索引库 megacorp 以及类型 employee,但不再是指定一个文档 ID,这次使用_search终端。返回结果包括了所有三个文档,放在数组 hits 中。一个搜索默认返回十条结果。

{
   "took":      6,
   "timed_out": false,
   "_shards": { ... },
   "hits": {
      "total":      3,
      "max_score":  1,
      "hits": [
         {
            "_index":         "megacorp",
            "_type":          "employee",
            "_id":            "3",
            "_score":         1,
            "_source": {
               "first_name":  "Douglas",
               "last_name":   "Fir",
               "age":         35,
               "about":       "I like to build cabinets",
               "interests": [ "forestry" ]
            }
         },
         {
            "_index":         "megacorp",
            "_type":          "employee",
            "_id":            "1",
            "_score":         1,
            "_source": {
               "first_name":  "John",
               "last_name":   "Smith",
               "age":         25,
               "about":       "I love to go rock climbing",
               "interests": [ "sports", "music" ]
            }
         },
         {
            "_index":         "megacorp",
            "_type":          "employee",
            "_id":            "2",
            "_score":         1,
            "_source": {
               "first_name":  "Jane",
               "last_name":   "Smith",
               "age":         32,
               "about":       "I like to collect rock albums",
               "interests": [ "music" ]
            }
         }
      ]
   }
}

返回结果不仅告诉我们匹配了哪些文档,还包含了整个文档本身:给用户显示搜索结果所需的全部信息。

接下来,尝试下搜索姓氏为 "Smith" 的雇员。为此,我们将使用一个 高亮 搜索方法,这很容易通过命令行完成。这个方法一般涉及到一个 查询字符串 (query-string) 搜索,因为我们将搜索作为一个 URL 查询字符串参数来传递:

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

我们仍然在请求路径中使用 _search 终端,并将查询本身赋值给参数 q= 。返回结果给出了所有的 Smith:

{
   ...
   "hits": {
      "total":      2,
      "max_score":  0.30685282,
      "hits": [
         {
            ...
            "_source": {
               "first_name":  "John",
               "last_name":   "Smith",
               "age":         25,
               "about":       "I love to go rock climbing",
               "interests": [ "sports", "music" ]
            }
         },
         {
            ...
            "_source": {
               "first_name":  "Jane",
               "last_name":   "Smith",
               "age":         32,
               "about":       "I like to collect rock albums",
               "interests": [ "music" ]
            }
         }
      ]
   }
}