Elasticsearch --- 常用操作

0.创建

PUT s1/doc/1
{
  "name":"张三",
  "age":"23",
  "sex":"男"
}

PUT s1/doc/2
{
  "name":"李四",
  "age":"30",
  "sex":"男"
}



PUT s1/doc/3
{
  "name":"小六",
  "age":"18",
  "sex":"女"
}

GET s1/doc/_search   #查询所有

GET s1/doc/1      #指定查询

1.两种条件查询方式

　　①字符串查询

GET s1/doc/_search?q=age:23

　　②结构化查询(DSL)

GET s1/doc/_search
{
  "query": {
    "match": {
      "age": "23"
    }
  }
}


GET s18/doc/_search   #查询所有
{
"query": {
"match_all": {}
}
}

2.修改指定字段

#只修改文档1中的 "age" ,其他不变

POST s1/doc/1/_update
{
  "doc":{
    "age":25
  }
}

3.排序sort

#降序

GET s1/doc/_search
{
  "query": {
    "match_all": {}
  },
  "sort": [
    {
      "age": {
        "order": "desc"
      }
    }
  ]

}

#升序

GET s1/doc/_search
{
  "query": {
    "match_all": {}
  },
  "sort": [
    {
      "age": {
        "order": "asc"
      }
    }
  ]

}

4.分页

#按索引从1的位置开始查,查2个

GET s1/doc/_search
{
  "query": {
    "match_all": {}
  },
  "from": 1,
  "size": 2
}

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5.布尔查询:

　　1.should(or),must(and),must_not(not)

#①查询姓名是"张三",或者年龄是"18"的

GET s1/doc/_search
{
  "query": {
    "bool": {
      "should": [
        {
          "match": {
            "name": "张三"
          }
        },
        {
          "match": {
            "age": "18"
          }
        }
      ]
    }
  }
}

#②查询出年龄是30的男性

GET s1/doc/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "match": {
            "sex": "男"
          }
        },
        {
          "match": {
            "age": "30"
          }
        }
      ]
    }
  }
}

#③查询出既不是男性,又不是30岁的

GET s1/doc/_search
{
  "query": {
    "bool": {
      "must_not": [
        {
          "match": {
            "sex": "男"
          }
        },
        {
          "match": {
            "age": "30"
          }
        }
      ]
    }
  }
}

　　2.大于(gt),大于等于(gte),小于(lt),小于等于(lte)

#①大于(其他类似)
查询大于25岁的男性

GET s1/doc/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "match": {
            "sex": "男"
          }
        }
        
      ],
      "filter": {
        "range": {
          "age": {
            "gt": 25
            
          }
        }
      }
    }
  }
}

#②查询小于25岁的非男性

GET s1/doc/_search
{
  "query": {
    "bool": {
      "must_not": [
        {
          "match": {
            "sex": "男"
          }
        }
        
      ],
      "filter": {
        "range": {
          "age": {
            "lt": 25
            
          }
        }
      }
    }
  }
}

6.高亮查询

PUT s2/doc/1
{
  "name":"wangdi",
  "desc": "骚的打漂"
}


GET s2/doc/_search
{
  "query": {
    "match": {
      "desc": "打漂"
    }
  },
  "highlight": {          #高亮显示查询的结果
    "pre_tags": "<b style='color:red;font-size:20px;' class='wangdi'>", 
    "post_tags": "</b>", 
    "fields": {
      "desc": {}
    }
  }
}

7.结果过滤

#①只将结果的姓名显示

GET s1/doc/_search
{
  "query": {
    "match": {
      "name": "张三"
    }
  },
  "_source": "name"
}

#②将结果的姓名和年龄显示

GET s1/doc/_search
{
  "query": {
    "match": {
      "name": "张三"
    }
  },
  "_source": ["name","age"]
}

8.聚合查询(sum,max,min,avg)

求男性的年龄总和

GET s1/doc/_search
{
  "query": {
    "match": {
      "sex": "男"
    }
  },
  "aggs":{
    "my_sum":{
      "sum": {
        "field": "age"
      }
    }
  }
}

求男性的最大值

GET s1/doc/_search
{
  "query": {
    "match": {
      "sex": "男"
    }
  },
  "aggs":{
    "my_max":{
      "max": {
        "field": "age"
      }
    }
  }
}

# 求所有人的平均值 avg
GET s1/doc/_search
{
  "aggs": {
    "my_avg": {
      "avg": {
        "field": "age"
      }
    }
  }
}

9.分组

#根据年龄，10-20，,20-30， 30-50 进行分组


GET s1/doc/_search
{
  "aggs": {
    "my_group":{
      "range": {
        "field": "age",
        "ranges": [
          {
            "from": 10,
            "to": 20
          },
          {
            "from": 20,
            "to": 30
          },
          {
            "from": 30,
            "to": 50
          }
        ]
      }
    }
  }
}

对分组结果进行求和


GET s1/doc/_search
{

  "aggs": {
    "my_group":{
      "range": {
        "field": "age",
        "ranges": [
          {
            "from": 10,
            "to": 20
          },
          {
            "from": 20,
            "to": 30
          },
          {
            "from": 30,
            "to": 50
          }
        ]
      },
      "aggs":{
      　　"my_sum":{
        　　"sum":{
              "field":"age"
        }
      }
    }
    }
    
  }
}