track_total_hits: true

获取超过1w条数据 需要加上 "track_total_hits":true ，不然只能显示出9999条

Boosting加权查询

参考：官方文档

  1. GET indexName/_search?pretty
  2. {
  3.   "query": {
  4.     "boosting": {
  5.       "positive": {
  6.         "term": {
  7.           "text": "apple"
  8.         }
  9.       },
  10.       "negative": {
  11.         "term": {
  12.           "text": "pie tart fruit crumble tree"
  13.         }
  14.       },
  15.       "negative_boost": 0.5
  16.     }
  17.   }
  18. }

Constant 固定分值

  1. GET /_search
  2. {
  3.   "query": {
  4.     "constant_score": {
  5.       "filter": {
  6.         "term": {
  7.           "user.id": "kimchy"
  8.         }
  9.       },
  10.       "boost": 1.2
  11.     }
  12.   }
  13. }

disjuction最大分值查询

  1. GET /_search
  2. {
  3.   "query": {
  4.     "dis_max": {
  5.       "queries": [
  6.         {
  7.           "term": {
  8.             "title": "Quick pets"
  9.           }
  10.         },
  11.         {
  12.           "term": {
  13.             "body": "Quick pets"
  14.           }
  15.         }
  16.       ],
  17.       "tie_breaker": 0.7 #相关性打分
  18.     }
  19.   }
  20. }

function_score 函数式打分查询

  1. GET /_search
  2. {
  3.   "query": {
  4.     "function_score": {
  5.       "query": { "match_all": {} },
  6.       "boost": "5",
  7.       "random_score": {}, 
  8.       "boost_mode": "multiply" # 乘法运算
  9.     }
  10.   }
  11. }
  1. GET /_search?pretty
  2. {
  3.   "query": {
  4.     "function_score": {
  5.       "query": {
  6.         "match_all": {}
  7.       },
  8.       "boost": "5",  # 整个查询的权重
  9.       "functions": [
  10.         {
  11.           "filter": {
  12.             "match": {
  13.               "test": "bar"
  14.             }
  15.           },
  16.           "random_score": {},
  17.           "weight": 23
  18.         },
  19.         {
  20.           "filter": {
  21.             "match": {
  22.               "test": "cat"
  23.             }
  24.           },
  25.           "weight": 42
  26.         }
  27.       ],
  28.       "max_boost": 42,
  29.       "score_mode": "max", # multiply、sum、avg、first、max、min
  30.       "boost_mode": "multiply", # multiply、replace、sum、avg、max、min
  31.       "min_score": 42
  32.     }
  33.   }
  34. }

要使 min_score 起作用，需要对查询返回的所有文档进行评分，然后一一过滤掉。

The function_score query provides several types of score functions.

script score

  1. GET /_search?pretty
  2. {
  3.   "query": {
  4.     "function_score": {
  5.       "query": {
  6.         "match": {
  7.           "message": "elasticsearch"
  8.         }
  9.       },
  10.       "script_score": {
  11.         "script": {
  12.           "source": "Math.log(2 + doc['my-int'].value)"
  13.         }
  14.       }
  15.     }
  16.   }
  17. }

script_score 函数允许包装另一个查询并自定义它的评分，可以选择使用脚本表达式从文档中的其他数字字段值派生的计算。