概述

继续跟中华石杉老师学习ES，第五篇

课程地址： https://www.roncoo.com/view/55

range filter已经被range query取代了，所以我们这里直接来看 range query吧

https://www.elastic.co/guide/en/elasticsearch/reference/6.4/query-dsl-range-filter.html

https://www.elastic.co/guide/en/elasticsearch/reference/7.0/query-dsl-range-query.html#query-dsl-range-query

数据准备

为了演示 范围查询 ，我们增加个 浏览量 view_cnt字段，更新DSL如下

POST /forum/article/_bulk
{"update":{"_id":"1"}}
{"doc":{"view_cnt":30}}
{"update":{"_id":"2"}}
{"doc":{"view_cnt":50}}
{"update":{"_id":"3"}}
{"doc":{"view_cnt":100}}
{"update":{"_id":"4"}}
{"doc":{"view_cnt":80}}

小示例

搜索浏览量在30~60之间的帖子

老版本的写法

GET /forum/article/_search
{
  "query": {
    "constant_score": {
      "filter": {
        "range": {
          "view_cnt": {
            "gt": 30,
            "lt": 60
          }
        }
      }
    }
  }
}

新写法 （推荐）

GET /forum/article/_search
{
  "query": {
    "range": {
      "view_cnt": {
        "gt": 30,
        "lt": 60
      }
    }
  }
}

搜索发帖日期在最近1个月的帖子

为了演示，我们新增一条数据id=5的数据 ，如下

POST /forum/article/_bulk
{"index":{"_id":5}}
{"articleID":"DHJK-B-1395-#Ky5","userID":3,"hidden":false,"postDate":"2019-06-01","tag":["elasticsearch"],"tag_cnt":1,"view_cnt":10}

今天是5月12号，上面的6月1号搞错了，再把 postDate 改为 2019-05-01

POST /forum/article/_bulk
{"update":{"_id":"5"}}
{"doc":{"postDate":"2019-05-01"}}

查看下id=5的数据

那 将需求翻译成 es dsl如下

老版本的写法：

GET /forum/article/_search 
{
  "query": {
    "constant_score": {
      "filter": {
        "range": {
          "postDate": {
            "gt": "2019-05-12||-30d"
          }
        }
      }
    }
  }
}

GET /forum/article/_search 
{
  "query": {
    "constant_score": {
      "filter": {
        "range": {
          "postDate": {
            "gt": "now-30d"
          }
        }
      }
    }
  }
}

now-30d

GET /forum/_search
{
  "query": {
    "range": {
      "postDate": {
        "gte": "now-30d"
      }
    }
  }
}

2019-05-12||-30d

GET /forum/_search
{
  "query": {
    "range": {
      "postDate": {
        "gte": "2019-05-12||-30d"
      }
    }
  }
}

总结一下：

• range，就像sql中的between
• range query 做范围过滤