Elasticsearch之-查询

# 并且和或者的条件
#并且
GET t3/doc/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "match": {
            "title": "beautiful"
          }
        },
        {
          "match": {
            "desc": "beautiful"
          }
        }
      ]
    }
  }
}

#或者
GET t3/doc/_search
{
  "query": {
    "bool": {
      "should": [
        {
          "match": {
            "title": "beautiful"
          }
        },
        {
          "match": {
            "desc": "beautiful"
          }
        }
      ]
    }
  }
}



# match，term和terms的区别
    -match查的短语会分词
    GET w10/_doc/_search
        {
          "query": {
            "match": {
              "t1": "Beautiful girl!"
            }
          }
        }
    -term查的不会分词
    GET w10/_doc/_search
            {
          "query": {
            "term": {
              "t1": "girl"
            }
          }
        }
    -terms由于部分词，想查多个，terms
        GET w10/_doc/_search
        {
          "query": {
            "terms": {
              "t1": ["beautiful", "sexy"]
            }
          }
        }
        
        
        
# pymysql   原生操作，查出字典
# orm       orm直接转成对象

##### 不是所有字段都支持排序，只有数字类型，字符串不支持

GET lqz/_doc/_search
{
  "query": {
    "match": {
      "from": "gu"
    }
  }
}

#降序
GET lqz/_doc/_search
{
  "query": {
    "match": {
      "from": "gu"
    }
  },
  "sort": [
    {
      "age": {
        "order": "desc"
      }
    }
  ]
}

## 升序
GET lqz/_doc/_search
{
  "query": {
    "match": {
      "from": "gu"
    }
  },
  "sort": [
    {
      "age": {
        "order": "asc"
      }
    }
  ]
}


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

#从第二条开始，取一条
GET lqz/_doc/_search
{
  "query": {
    "match_all": {}
  },
  "sort": [
    {
      "age": {
        "order": "desc"
      }
    }
  ]
}

GET lqz/_doc/_search
{
  "query": {
    "match_all": {}
  },
  "sort": [
    {
      "age": {
        "order": "desc"
      }
    }
  ], 
  "from": 2,
  "size": 2
}




###注意：对于`elasticsearch`来说，所有的条件都是可插拔的，彼此之间用`,`分割
GET lqz/_doc/_search
{
  "query": {
    "match_all": {}
  }, 
  "from": 2,
  "size": 2
}

- must（and）
- should（or）
- must_not（not）

##布尔查询之must and条件
GET lqz/_doc/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "match": {
            "from": "gu"
          }
        },
        {
          "match": {
            "name": "顾老二"
          }
        }
      ]
    }
  }
}


##布尔查询之should or条件
GET lqz/_doc/_search
{
  "query": {
    "bool": {
      "should": [
        {
          "match": {
            "from": "gu"
          }
        },
        {
          "match": {
            "name": "龙套偏房"
          }
        }
      ]
    }
  }
}





### must_not条件   都不是
GET lqz/_doc/_search
{
  "query": {
    "bool": {
      "must_not": [
        {
          "match": {
            "from": "gu"
          }
        },
        {
          "match": {
            "tags": "可爱"
          }
        },
        {
          "match": {
            "age": 18
          }
        }
      ]
    }
  }
}




###filter，大于小于的条件   gt lt  gte  lte
GET lqz/_doc/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "match": {
            "from": "gu"
          }
        }
      ],
      "filter": {
        "range": {
          "age": {
            "lt": 30
          }
        }
      }
    }
  }
}


### 范围查询
GET lqz/_doc/_search
{
  "query": {
    "bool": {
      "must": [
        {
          "match": {
            "from": "gu"
          }
        }
      ],
      "filter": {
        "range": {
          "age": {
            "gte": 25,
            "lte": 30
          }
        }
      }
    }
  }
}


### filter需要在bool内部，并且如果是and条件，需要用must，如果使用了should，会认为是should和filter是或者的关系

###基本使用
GET lqz/_doc/_search
{
  "query": {
    "match_all": {
      }
  },
  "_source":["name","age"]
}


####_source和query是平级的

GET lqz/_doc/_search
{
  "query": {
    "bool": {
      "must":{
        "match":{"from":"gu"}
      },
      
      "filter": {
        "range": {
          "age": {
            "lte": 25
          }
        }
      }
    }
  },
  "_source":["name","age"]
}

GET lqz/_doc/_search
{
  "query": {
    "match": {
      "from": "gu"
    }
  },
  "highlight": {
    "pre_tags": "<b class=‘key‘ style=‘color:red‘>",
    "post_tags": "</b>",
    "fields": {
      "from": {}
    }
  }
}

# sum ,avg, max ,min

# select max(age) as my_avg from 表 where from=gu;
GET lqz/_doc/_search
{
  "query": {
    "match": {
      "from": "gu"
    }
  },
  "aggs": {
    "my_avg": {
      "avg": {
        "field": "age"
      }
    }
  },
  "_source": ["name", "age"]
}

#最大年龄
GET lqz/_doc/_search
{
  "query": {
    "match": {
      "from": "gu"
    }
  },
  "aggs": {
    "my_max": {
      "max": {
        "field": "age"
      }
    }
  },
  "_source": ["name", "age"]
}

#最小年龄
GET lqz/_doc/_search
{
  "query": {
    "match": {
      "from": "gu"
    }
  },
  "aggs": {
    "my_min": {
      "min": {
        "field": "age"
      }
    }
  },
  "_source": ["name", "age"]
}

# 总年龄
#最小年龄
GET lqz/_doc/_search
{
  "query": {
    "match": {
      "from": "gu"
    }
  },
  "aggs": {
    "my_sum": {
      "sum": {
        "field": "age"
      }
    }
  },
  "_source": ["name", "age"]
}



#分组


# 现在我想要查询所有人的年龄段，并且按照`15~20，20~25,25~30`分组，并且算出每组的平均年龄。
GET lqz/_doc/_search
{
  "size": 0, 
  "query": {
    "match_all": {}
  },
  "aggs": {
    "age_group": {
      "range": {
        "field": "age",
        "ranges": [
          {
            "from": 15,
            "to": 20
          },
          {
            "from": 20,
            "to": 25
          },
          {
            "from": 25,
            "to": 30
          }
        ]
      }
    }
  }
}