05-Elasticsearch-DSL高级检索[分页, 分词, 权重, 多条件, 过滤, 排序, 关键词高亮, 深度分页, 滚动搜索, 批量Mget]

DSL搜索

词库准备

骚年
帅气
新闻网
新闻
闻网
新
闻
网

索引准备

PUT /shop
{
  "settings": {
    "number_of_shards": 5,
    "number_of_replicas": 0
  }
}
POST /shop/_mapping
{
    "properties": {
        "id": {
            "type": "long"
        },
        "age": {
            "type": "integer"
        },
        "username": {
            "type": "keyword"
        },
        "nickname": {
            "type": "text",
            "analyzer": "ik_max_word"
        },
        "money": {
            "type": "float"
        },
        "desc": {
            "type": "text",
            "analyzer": "ik_max_word"
        },
        "sex": {
            "type": "byte"
        },
        "birthday": {
            "type": "date"
        },
        "face": {
            "type": "text",
            "index": false
        }
    }
}

数据准备

POST /shop/_doc/
{
    "id": 1001,
    "age": 18,
    "username": "chinanewsAmazing",
    "nickname": "中国新闻网",
    "money": 88.8,
    "desc": "我在中国新闻网到了很多新闻",
    "sex": 0,
    "birthday": "2022-09-01",
    "face": "https://i2.chinanews.com.cn/simg/cmshd/2022/09/01/527bc4b462d946be81eb900d7c8e63fe.jpg"
}
POST /shop/_doc/
{
    "id": 1002,
    "age": 19,
    "username": "justbuy",
    "nickname": "周杰棍",
    "money": 77.8,
    "desc": "今天上下班都很堵，车流量很大",
    "sex": 1,
    "birthday": "1993-01-24",
    "face": "https://i2.chinanews.com.cn/simg/cmshd/2022/09/01/ea8d5d4bc6c146239201034cf7731dce.jpg"
}
POST /shop/_doc/
{
    "id": 1003,
    "age": 20,
    "username": "bigFace",
    "nickname": "飞翔的巨鹰",
    "money": 66.8,
    "desc": "中国新闻网团队和导游坐飞机去海外旅游，去了新马泰和欧洲",
    "sex": 1,
    "birthday": "1996-01-14",
    "face": "https://i2.chinanews.com.cn/simg/cmshd/2022/09/01/ea8d5d4bc6c146239201034cf7731dce.jpg"
}
POST /shop/_doc/ 
{
    "id": 1004,
    "age": 22,
    "username": "flyfish",
    "nickname": "水中鱼",
    "money": 55.8,
    "desc": "昨天在学校的池塘里，看到有很多鱼在游泳，然后就去中国新闻网学习了",
    "sex": 0,
    "birthday": "1988-02-14",
    "face": "https://i2.chinanews.com.cn/simg/cmshd/2022/09/01/ea8d5d4bc6c146239201034cf7731dce.jpg"
}
POST /shop/_doc/ 
{
    "id": 1005,
    "age": 25,
    "username": "gotoplay",
    "nickname": "ps游戏机",
    "money": 155.8,
    "desc": "今年生日，女友送了我一台play station游戏机，非常好玩，非常不错",
    "sex": 1,
    "birthday": "1989-03-14",
    "face": "https://i2.chinanews.com.cn/simg/cmshd/2022/09/01/ea8d5d4bc6c146239201034cf7731dce.jpg"
}
POST /shop/_doc/ 
{
    "id": 1006,
    "age": 19,
    "username": "missimooc",
    "nickname": "我叫小髦",
    "money": 156.8,
    "desc": "我叫髦髦，今年20岁，是一名律师，我在琦䯲星球做演讲",
    "sex": 1,
    "birthday": "1993-04-14",
    "face": "https://i2.chinanews.com.cn/simg/cmshd/2022/09/01/ea8d5d4bc6c146239201034cf7731dce.jpg"
}
POST /shop/_doc/ 
{
    "id": 1007,
    "age": 19,
    "username": "msgame",
    "nickname": "gamexbox",
    "money": 1056.8,
    "desc": "明天去进货，最近微软处理很多游戏机，还要买xbox游戏卡带",
    "sex": 1,
    "birthday": "1985-05-14",
    "face": "https://i2.chinanews.com.cn/simg/cmshd/2022/09/01/ea8d5d4bc6c146239201034cf7731dce.jpg"
}
POST /shop/_doc/ 
{
    "id": 1008,
    "age": 19,
    "username": "muke",
    "nickname": "新闻学习",
    "money": 1056.8,
    "desc": "大学毕业后，可以到i2.chinanews.com.cn进修",
    "sex": 1,
    "birthday": "1995-06-14",
    "face": "https://i2.chinanews.com.cn/simg/cmshd/2022/09/01/ea8d5d4bc6c146239201034cf7731dce.jpg"
}
POST /shop/_doc/ 
{
    "id": 1009,
    "age": 22,
    "username": "shaonian",
    "nickname": "骚年轮",
    "money": 96.8,
    "desc": "骚年在大学毕业后，考研究生去了",
    "sex": 1,
    "birthday": "1998-07-14",
    "face": "https://i2.chinanews.com.cn/simg/cmshd/2022/09/01/ea8d5d4bc6c146239201034cf7731dce.jpg"
}
POST /shop/_doc/ 
{
    "id": 1010,
    "age": 30,
    "username": "tata",
    "nickname": "隔壁老王",
    "money": 100.8,
    "desc": "隔壁老外去国外出差，带给我很多好吃的",
    "sex": 1,
    "birthday": "1988-07-14",
    "face": "https://i2.chinanews.com.cn/simg/cmshd/2022/09/01/ea8d5d4bc6c146239201034cf7731dce.jpg"
}
POST /shop/_doc/ 
{
    "id": 1011,
    "age": 31,
    "username": "sprder",
    "nickname": "皮特帕克",
    "money": 180.8,
    "desc": "它是一个超级英雄",
    "sex": 1,
    "birthday": "1989-08-14",
    "face": "https://i2.chinanews.com.cn/simg/cmshd/2022/09/01/ea8d5d4bc6c146239201034cf7731dce.jpg"
}
POST /shop/_doc/ 
{
    "id": 1012,
    "age": 31,
    "username": "super hero",
    "nickname": "super hero",
    "money": 188.8,
    "desc": "BatMan, GreenArrow, SpiderMan, IronMan... are all Super Hero",
    "sex": 1,
    "birthday": "1980-08-14",
    "face": "https://i2.chinanews.com.cn/simg/cmshd/2022/09/01/ea8d5d4bc6c146239201034cf7731dce.jpg"
}

数据准备完成

QueryString检索

URL QueryString 查询

GET /shop/_search?q=desc:慕课网&q=age:18

keyword 搜索

GET /shop/_search?q=username:super

非keyword 搜索

GET /shop/_search?q=nickname:super

DSL检索

检索

POST /shop/_search
{
  "query": {
    "match": {
      "desc": "新闻网"
    }
  }
}

判断字段是否存在返回存在该字段的数据

POST /shop/_search
{
  "query":{
    "exists": {
      "field": "desc"
    }
  }
}

查询全部数据

POST /shop/_search
{
  "query": {
    "match_all": {}
  }
}

过滤显示字段

POST /shop/_search
{
  "query": {
    "match_all": {}
  },
  "_source": [
    "id", "nickname","age"
  ]
}

分页

POST /shop/_search
{
  "query": {
    "match_all": {}
  },
  "from": 0,
  "size": 5
}

不分词搜索单个词条

POST /shop/_search
{
  "query": {
    "term": {
      "desc": "新闻网"
    }
  },
  "_source": [
    "id", "nickname","desc"
  ]
}

不分词搜索多个词条

POST /shop/_search
{
  "query": {
    "terms": {
      "desc": ["新闻网","我"]
    }
  },
  "_source": [
    "id", "nickname","desc"
  ]
}

分词搜索

POST /shop/_search
{
  "query": {
    "match": {
      "nickname": "新闻网"
    }
  },  
  "_source": [
    "id", "nickname","desc"
  ]
}

多词条匹配顺序(毕业必须在大学后面)

POST /shop/_search
{
  "query": {
    "match_phrase": {
      "desc": {
        "query": "大学 毕业"
      }
    }
  },  
  "_source": [
    "id", "nickname","desc"
  ]
}

多词条匹配跨越指定词语数量(跨越大于两个词之间的词汇数才能检索出来)

POST /shop/_search
{
  "query": {
    "match_phrase": {
      "desc": {
        "query": "大学 研究生",
        "slop": 3
      }
    }
  },  
  "_source": [
    "id", "nickname","desc"
  ]
}

指定匹配词语之间的关系 and | or, 默认为or

POST /shop/_search
{
  "query": {
    "match": {
      "desc": {
        "query": "新闻网学习",
        "operator": "and"
      }
    }
  },  
  "_source": [
    "id", "nickname","desc"
  ]
}

根据词汇匹配百分比查询数据

POST /shop/_search
{
  "query": {
    "match": {
      "desc": {
        "query": "女友生日送我好玩的xbox游戏机",
        "minimum_should_match": "60%"
      }
    }
  },  
  "_source": [
    "id", "nickname","desc"
  ]
}

根据词汇匹配个数查询数据

POST /shop/_search
{
  "query": {
    "match": {
      "desc": {
        "query": "女友生日送我好玩的xbox游戏机",
        "minimum_should_match": 6
      }
    }
  },  
  "_source": [
    "id", "nickname","desc"
  ]
}

根据ID查询数据

POST /shop/_search
{
  "query": {
    "ids": {
      "values": ["KFuMO4MBrxUdfMwL-_sV","J1uMO4MBrxUdfMwL8_v7"]
    }
  },  
  "_source": [
    "id", "nickname","desc"
  ]
}

多字段匹配查询

POST /shop/_search
{
  "query": {
    "multi_match": {
      "query": "皮特新闻网", 
      "fields": [
        "nickname",
        "desc"
      ]
    }
  },  
  "_source": [
    "id", "nickname","desc"
  ]
}

提升字段权重在字段后添加^权重值

POST /shop/_search
{
  "query": {
    "multi_match": {
      "query": "皮特新闻网", 
      "fields": [
        "nickname^10",
        "desc"
      ]
    }
  },  
  "_source": [
    "id", "nickname","desc"
  ]
}

bool检索

# bool
#   must 全部匹配(and)
#   must_not 全部不匹配(!)
#   should 包含(or)

多条件 and 查询

POST /shop/_search
{
 "query": {
   "bool": {
     "must": [
       {
         "multi_match": {
           "query": "新闻网",
           "fields": ["desc","nickname"]
         }
       },
       {
         "term": {
           "sex": {
             "value": "1"
           }
         }
       },
       {
         "term": {
           "birthday": {
             "value": "1996-01-14"
           }
         }
       }
     ]
   }
 }, 
  "_source": [
    "id","age","sex","nickname","desc","birthday"
  ]
}

多条件 or 查询

POST /shop/_search
{
 "query": {
   "bool": {
     "should": [
       {
         "multi_match": {
           "query": "新闻网",
           "fields": ["desc","nickname"]
         }
       },
       {
         "term": {
           "sex": {
             "value": "0"
           }
         }
       },
       {
         "term": {
           "birthday": {
             "value": "1996-01-14"
           }
         }
       }
     ]
   }
 }, 
  "_source": [
    "id","age","sex","nickname","desc","birthday"
  ]
}

多条件 ! 查询

POST /shop/_search
{
 "query": {
   "bool": {
     "must_not": [
       {
         "multi_match": {
           "query": "新闻网",
           "fields": ["desc","nickname"]
         }
       },
       {
         "term": {
           "sex": {
             "value": "0"
           }
         }
       },
       {
         "term": {
           "birthday": {
             "value": "1996-01-14"
           }
         }
       }
     ]
   }
 }, 
  "_source": [
    "id","age","sex","nickname","desc","birthday"
  ]
}

多条件组合查询

# 多条件 组合 查询
#  (sex=1 or desc in ("新闻网"[分词]))
#   and (age = 19)
#   and (desc not in ("大学"[分词]))
POST /shop/_search
{
 "query": {
   "bool": {
     "should": [
       {
         "term": {
           "sex": {
             "value": "1"
           }
         }
       },
       {
         "match": {
           "desc": "新闻网"
         }
       }
     ],
     "must": [
       {
         "multi_match": {
           "query": "19",
           "fields": ["age"]
         }
       }
     ],
     "must_not": [
       {
         "match": {
           "desc": "大学"
         }
       }
     ]
   }
 }, 
  "_source": [
    "id","age","sex","nickname","desc","birthday"
  ]
}

查询匹配词汇加权 boost

POST /shop/_search
{
 "query": {
   "bool": {
     "should": [
       {
         "match": {
           "desc": {
             "query": "新闻网", 
             "boost": 2
           }
         }
       },
       {
         "match": {
           "desc": {
             "query": "律师",
             "boost": 10
           }
         }
       }
     ]
   }
 }, 
  "_source": [
    "id","age","sex","nickname","desc","birthday"
  ]
}

数据过滤 gt lt gte lte

POST /shop/_search
{
  "query": {
    "multi_match": {
      "query": "新闻网",
      "fields": [
        "nickname",
        "desc"
      ]
    }
  },
  "post_filter": {
    "range": {
      "age": {
        "gte": 19,
        "lte": 20
      }
    }
  }, 
  "_source": [
    "id",
    "nickname",
    "age",
    "desc"
  ]
}

数据排序 desc asc (text 不支持, keyword 支持)

POST /shop/_search
{
  "query": {
    "multi_match": {
      "query": "新闻网",
      "fields": [
        "nickname",
        "desc"
      ]
    }
  },
  "post_filter": {
    "range": {
      "age": {
        "gte": 0
      }
    }
  }, 
  "sort": [
    {
      "age": {
        "order": "asc"
      }
    }
  ], 
  "_source": [
    "id",
    "nickname",
    "age",
    "desc"
  ]
}

使用附属字段使text支持排序

# 使用附属字段使text支持排序
PUT /shop2
{
  "settings": {
    "number_of_shards": 1,
    "number_of_replicas": 0
  }
}
## 指定mapping, 附属字段
POST /shop2/_mapping
{
  "properties": {
    "id": {
      "type": "long"
    },
    "nickname": {
      "type": "text",
      "analyzer": "ik_max_word",
      "fields": {
        "keyword":{
          "type": "keyword"
        }
      }
    }
  }
}
POST /shop2/_doc
{
    "id": 1001,
    "nickname": "美丽的风景"
}
POST /shop2/_doc
{
    "id": 1002,
    "nickname": "漂亮的小哥哥"
}
POST /shop2/_doc
{
    "id": 1003,
    "nickname": "飞翔的巨鹰"
}
POST /shop2/_doc
{
    "id": 1004,
    "nickname": "完美的天空"
}
POST /shop2/_doc
{
    "id": 1005,
    "nickname": "广阔的海域"
}
POST /shop2/_search
{
  "query": {
    "match_all": {
      
    }
  },
  "sort": [
    {
      "nickname.keyword": {
        "order": "asc"
      }
    }
  ]
}

关键词高亮检索(highlight)

POST /shop/_search
{
  "query":{
    "match": {
      "desc": "新闻网"
    }
  },
  "highlight": {
    "pre_tags": "<span>",
    "post_tags": "</span>", 
    "fields": {
      "desc": {}
    }
  }
}

深度分页

## from + size > 10000 会报错
POST /shop/_search
{
  "query": {
    "match_all": {}
  },
  "from": 9990,
  "size": 10
}

解决方案1: 最大限制到50-100页, 因为用户不会搜索到那么多了

解决方案2:修改最大限制

获取索引的设置

GET /shop/_settings

修改最大限制

PUT /shop/_settings
{
  "index.max_result_window":100000
}

再次执行查询, 就不会报错了

滚动搜索

# scroll 滚动搜索
POST /shop/_search?scroll=1m
{
  "query": {
    "match_all": {}
  },
  "sort": [
    "_doc"
  ], 
  "size": 5
}
# 将第一次返回的scroll_id获取到放入下面的请求中
POST /_search/scroll
{
  "scroll_id":"***",
  "scroll":"1m"
}

批量查询 mget

# 批量查询 mget
POST /shop/_mget
{
  "ids":["KFuMO4MBrxUdfMwL-_sV","PFuNO4MBrxUdfMwLLvvc"]
}

基本这些可以完成业务中99%的检索了

posted @ 2022-10-03 05:12 彼岸舞阅读(188) 评论(0) 编辑收藏举报

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彼岸舞的博客园

热爱技术,喜欢挑战,不断最求卓越,期望接近完美

05-Elasticsearch-DSL高级检索[分页, 分词, 权重, 多条件, 过滤, 排序, 关键词高亮, 深度分页, 滚动搜索, 批量Mget]

DSL搜索

词库准备

索引准备

数据准备

QueryString检索

URL QueryString 查询

keyword 搜索

非keyword 搜索

DSL检索

检索

判断字段是否存在 返回存在该字段的数据

查询全部数据

过滤显示字段

分页

不分词搜索 单个词条

不分词搜索 多个词条

分词搜索

多词条匹配 顺序(毕业必须在大学后面)

多词条匹配 跨越指定词语数量(跨越大于两个词之间的词汇数才能检索出来)

指定匹配词语之间的关系 and | or, 默认为or

根据词汇匹配百分比查询数据

根据词汇匹配个数查询数据

根据ID查询数据

多字段匹配查询

提升字段权重 在字段后添加^权重值

bool检索

多条件 and 查询

多条件 or 查询

多条件 ! 查询

多条件 组合 查询

查询匹配词汇加权 boost

数据过滤 gt lt gte lte

数据排序 desc asc (text 不支持, keyword 支持)

使用附属字段使text支持排序

关键词高亮检索(highlight)

深度分页

滚动搜索

批量查询 mget

公告

判断字段是否存在返回存在该字段的数据

不分词搜索单个词条

不分词搜索多个词条

多词条匹配顺序(毕业必须在大学后面)

多词条匹配跨越指定词语数量(跨越大于两个词之间的词汇数才能检索出来)

提升字段权重在字段后添加^权重值

多条件组合查询