elasticsearch kibana简单查询

一、

简单的CRUD操作

1、添加

PUT /index/type/id
{
  "json数据"
}

2、查询

GET /index/type/id

3、修改

POST /index/type/id/_update

{
  "doc": {
    "FIELD": "值"
  }
}

4、删除

DELETE /index/type/id


二、搜索

搜索可以分成六大类

1、query string search
2、query DSL
3、query filter
4、full-text search
5、phrase search
6、highlight search


1)query string search

搜索全部:GET supplier/user/_search

{
  "took": 2,
  "timed_out": false,
  "_shards": {
    "total": 5,
    "successful": 5,
    "failed": 0
  },
  "hits": {
    "total": 3,
    "max_score": 1,
    "hits": [
      {
        "_index": "supplier",
        "_type": "user",
        "_id": "2",
        "_score": 1,
        "_source": {
          "name": "lisi",
          "age": 26,
          "address": "bei jing tong zhou",
          "price": 10000,
          "dept": [
            "kaifabu"
          ]
        }
      },
      {
        "_index": "supplier",
        "_type": "user",
        "_id": "1",
        "_score": 1,
        "_source": {
          "name": "zhangsan",
          "age": 30,
          "address": "bei jing chang chun jie",
          "price": 15000,
          "dept": [
            "kaifabu",
            "yanfabu"
          ]
        }
      },
      {
        "_index": "supplier",
        "_type": "user",
        "_id": "3",
        "_score": 1,
        "_source": {
          "name": "wangwu",
          "age": 26,
          "address": "bei jing tong zhou yun he ming zhu",
          "price": 13000,
          "dept": [
            "kaifabu"
          ]
        }
      }
    ]
  }
}

took:耗费了几毫秒

timed_out:是否超时,这里是没有

_shards:数据拆成了5个分片,所以对于搜索请求,会打到所有的primary shard(或者是它的某个replica shard也可以)

hits.total:查询结果的数量,3个document

hits.max_score:score的含义,就是document对于一个search的相关度的匹配分数,越相关,就越匹配,分数也高

hits.hits:包含了匹配搜索的document的详细数据

2、query DSL

查询所有

GET supplier/user/_search
{
  "query": { "match_all": {} }
}

查询全部并且排序

GET suppluer/user/_search
{
  "query": {
    "match_all": {}
  }
  , "sort": [
    {
      "price": {
        "order": "desc"
      }
    }
  ]
}

分页查询

GET supplier/user/_search
{
  "query": { "match_all": {} },
  "from": 1,
  "size": 1
}

指定要查询显示的field

GET supplier/user/_search
{
  "query": { "match_all": {} },
  "_source": ["name", "price"]
}

3、query filter

搜索name为‘lisi’并且price大于1500的

GET supplier/user/_search
{
    "query" : {
        "bool" : {
            "must" : {
                "match" : {
                    "name" : "lisi"
                }
            },
            "filter" : {
                "range" : {
                    "price" : { "gt" : 1500}
                }
            }
        }
    }
}

4、full-text search(全文检索)

address这个字段,会先被拆解,建立倒排索引

GET /ecommerce/product/_search
{
    "query" : {
        "match" : {
            "address" : "bei jing"
        }
    }
}

5、phrase search(短语搜索)

跟全文检索相对应,相反,全文检索会将输入的搜索串拆解开来,去倒排索引里面去一一匹配,只要能匹配上任意一个拆解后的单词,就可以作为结果返回
phrase search,要求输入的搜索串,必须在指定的字段文本中,完全包含一模一样的,才可以算匹配,才能作为结果返回

GET /ecommerce/product/_search
{
    "query" : {
        "match_phrase" : {
            "address" : "bei jing"
        }
    }
}
6、highlight search(高亮搜索结果)

GET /ecommerce/product/_search
{
    "query" : {
        "match" : {
            "address" : "bei jing"
        }
    },
    "highlight": {
        "fields" : {
            "address" : {}
        }
    }
}














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