Elasticsearch(二)

1.索引的几种查询

1.query sting search

GET /ecummerce/product/_search

1.took :耗费了几毫秒

2.timed_out 是否超时 这里没有

3._shards ：数据拆成了一份，所以对于搜索请求，会打到所有primary shard(或者是它的某个replica shard 也可以)

4.hits.total 查询结果的数量 3个document

5.hits.max_score ：score 的含义 就是document对于一个search的相关的匹配分数，越相关，就越匹配 分数越高。

6.hits.hits：包含了匹配搜索的document的详细的数据

{
  "took" : 438,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 3,
      "relation" : "eq"
    },
    "max_score" : 1.0,
    "hits" : [
      {
        "_index" : "ecummerce",
        "_type" : "product",
        "_id" : "2",
        "_score" : 1.0,
        "_source" : {
          "name" : "jiajieshi yagao",
          "desc" : "jiajieshi fangzhu",
          "price" : 25,
          "product" : "jiajieshi producter",
          "tags" : [
            "fengzhu"
          ]
        }
      },
      {
        "_index" : "ecummerce",
        "_type" : "product",
        "_id" : "3",
        "_score" : 1.0,
        "_source" : {
          "name" : "zhonghua yagao",
          "desc" : "caoben zhizu",
          "price" : 40,
          "product" : "zhonghua producter",
          "tags" : [
            "qingxin"
          ]
        }
      },
      {
        "_index" : "ecummerce",
        "_type" : "product",
        "_id" : "1",
        "_score" : 1.0,
        "_source" : {
          "name" : "gaolujie yagao",
          "desc" : "gaoxiao meibai",
          "price" : 30,
          "product" : "gaolujie producter",
          "tags" : [
            "fengzhu",
            "meibai"
          ]
        }
      }
    ]
  }
}