elasticsearch基本操作三

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0.数据准备

# text指定中文分词器（ik_max_word）
PUT data
{
  "settings": {
    "number_of_replicas": 0,
    "number_of_shards": 3
  },
  "mappings": {
    "user": {
      "properties": {
        "name":{"type":"text","analyzer":"ik_max_word"},
        "age":{"type":"integer"},
        "address":{"type":"text","analyzer":"ik_max_word"},
        "interests":{"type":"text","analyzer":"ik_max_word"},
        "birthday":{"type":"date"}
      } 
    }
  }
}

PUT data/user/1
{
  "name":"赵六",
  "address":"北京市西二旗",
  "age":23,
  "birthday":"1995-10-11",
  "interests":"吃鸡 英雄联盟 王者荣耀"
}

PUT data/user/2
{
  "name":"王五",
  "address":"上海市徐家汇",
  "age":13,
  "birthday":"2005-08-15",
  "interests":"吃鸡 唱歌 王者荣耀"
}

PUT data/user/3
{
  "name":"赵四",
  "address":"南京市雨花台",
  "age":18,
  "birthday":"2000-01-01",
  "interests":"吃鸡 唱歌 王者荣耀"
}

PUT data/user/4
{
  "name":"张三",
  "address":"无锡市太湖",
  "age":18,
  "birthday":"2001-11-09"
}

注：常用中文分词器ik_max_word ik_smart

1.filter查询(不计算相关性;可以cache;比query快)

GET data/user/_search
{
  "query": {
    "bool": {
      "filter": {
        "terms": {
          "age": [23, 18]
        }
      }
    }
  }
}

GET data/user/_search
{
  "query": {
    "bool": {
      "should":[
        {"term":{"age":23}},
        {"term":{"name":"赵"}}
      ],
      "must_not": [
        {"term":{"age":18}}
      ]
    }
  }
}
注：bool过滤查询 must相当于and should相当于or must_not相当于!=

GET data/user/_search
{
  "query": {
    "bool": {
      "filter": {
        "range": {
          "age": {
            "gt": 13,
            "lte": 18
          }
        }
      }
    }
  }
}
注：gt(>) gte(>=) lt(<) lte(<=)

GET data/user/_search
{
  "query": {
    "bool": {
      "filter": {
        "exists": {
          "field": "interests"
        }
      }
    }
  }
}
注：exists不为null

2.聚合查询

# 求和
GET data/user/_search
{
  "size": 0, 
  "aggs": {
    "age_of_sum": {
      "sum": {
        "field": "age"
      }
    }
  }
}

# 取最小值
GET data/user/_search
{
  "size": 0,
  "aggs": {
    "min_of_age": {
      "min": {
        "field": "age"
      }
    }
  }
}

# 取最大值
GET data/user/_search
{
  "size": 0, 
  "aggs": {
    "max_of_age": {
      "max": {
        "field": "age"
      }
    }
  }
}

# 取平均值
GET data/user/_search
{
  "size": 0,
  "aggs": {
    "age_of_avg": {
      "avg": {
        "field": "age"
      }
    }
  }
}

# 求基数
GET data/user/_search
{
  "size": 0,
  "aggs": {
    "age_of_cardinality": {
      "cardinality": {
        "field": "age"
      }
    }
  }
}

# 分组(相当于group)
GET data/user/_search
{
  "size": 0,
  "aggs": {
    "price_of_group": {
      "terms": {
        "field": "age"
      }
    }
  }
}

# 有唱歌兴趣的用户 按年龄分组
GET data/user/_search
{
  "query": {
    "match": {
      "interests": "唱歌"
    }
  },
  "aggs": {
    "age_of_group": {
      "terms": {
        "field": "age"
      }
    }
  }
}

3.复合查询

GET data/user/_search
{
  "query": {
    "bool": {
      "should": [
        {
          "match": {
            "name": "赵"
          }
        },
        {
          "bool": {
            "should": [
              {
                "terms": {
                  "age": [13]
                }
              }
            ]
          }
        }
      ],
      "must_not": [
        {
          "term": {
            "age": 18
          }
        }
      ]
    }
  }
}

4.constant_score, 不计算scope值

GET data/user/_search
{
  "query": {
    "constant_score": {
      "filter": {
        "terms": {
          "age": [
            18,
            23
          ]
        }
      }
    }
  }
}