ElasticSearch - function_score 实例说明
简烨烁
官方说明
通过实例说明
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先准备数据和索引，在ES插入三笔数据，其中language是keywork类型，like是integer类型(代表点赞量)
{ "language": "java", "like": 5 } { "language": "python", "like": 5 } { "language": "go", "like": 10 } -
functions是一个数组，裡面放著的是将要被使用的加强函数列表，我们在裡面使用了3个filter去过滤数据，并且每个filter都设置了一个加强函数，并且还使用了一个会应用到所有文档的field_value_factor加强函数
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可以为列表裡的每个加强函数都指定一个filter，这样做的话，只有在文档满足此filter的要求，此filter的加强函数才会应用到文挡上，也可以不指定filter，这样的话此加强函数就会应用到全部的文挡上
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一个文档可以一次满足多条加强函数和多个filter，如果一次满足多个，那麽就会产生多个加强score
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因此ES会先使用score_mode定义的方式来合併这些加强score们，得到一个总加强score，得到总加强score之后，才会再使用boost_mode定义的方式去和old_score做合併
GET 127.0.0.1/mytest/doc/_search { "query": { "function_score": { "query": { "match_all": {} //match_all查出来的所有文档的_score都是1 }, "functions": [ //第一个filter(使用weight加强函数)，如果language是java，加强score就是2 { "filter": { "term": { "language": "java" } }, "weight": 2 }, //第二个filter(使用weight加强函数)，如果language是go，加强score就是3 { "filter": { "term": { "language": "go" } }, "weight": 3 }, //第三个filter(使用weight加强函数)，如果like数大于等于10，加强score就是5 { "filter": { "range": { "like": { "gte": 10 } } }, "weight": 5 }, //field_value_factor加强函数，会应用到所有文档上，加强score就是like值 { "field_value_factor": { "field": "like" } } ], "score_mode": "multiply", //设置functions裡面的加强score们怎麽合併成一个总加强score "boost_mode": "multiply" //设置old_score怎麽和总加强score合併 } } }"hits": [ { "_score": 150, //go同时满足filter2、filter3，且还有一个加强函数field_value_factor产生的加强，因此加强score为3, 5, 10(like的值是10)，总加强score为3*5*10=150 "_source": { "language": "go", "like": 10 } }, { "_score": 10, //java只满足filter1，但是因为还有field_value_facotr产生的加强score，因此加强score为2, 5，总加强score为2*5=10 "_source": { "language": "java", "like": 5 } }, { "_score": 5, //python不满足任何filter，因此加强score只有field_value_factor的like值，就是5 "_source": { "language": "python", "like": 5 } } ] -
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其实weight加强函数也是可以不和filter搭配，自己单独使用的，只是这样做没啥意义，因为只是会给全部的文档都增加一个固定值而已
- 不过就DSL语法上来说，他也像其他加强函数一样，是可以直接使用而不用加filter的
GET 127.0.0.1/mytest/doc/_search { "query": { "function_score": { "query": { "match_all": {} } }, functions: [ { "weight": 3 } ] } }"hits": [ { "_score": 3, "_source": { "language": "go", "like": 10 } }, { "_score": 3, "_source": { "language": "python", "like": 5 } }, { "_score": 3, "_source": { "language": "java", "like": 5 } } ] -
weight加强函数也可以用来调整每个语句的贡献度，权重weight的默认值是1.0，当设置了weight，这个weight值会先和自己那个{}裡的每个句子的评分相乘，之后再通过score_mode和其他加强函数合併
- 下面的查询，公式为new_score = old_score * [ (like值 * weight1) + weight2 ]
- 公式解析 : weight1先加强like值(只能使用乘法)，接著再透过score_mode定义的方法(sum)和另一个加强函数weight2合併，得到一个总加强score，最后再使用boost_mode定义的方法(默认是multiply)和old_score做合併，得到new_score
GET 127.0.0.1/mytest/doc/_search { "query": { "function_score": { "query": { "match_all": {} } }, functions: [ { "field_value_factor": { "field": "like" }, "weight": 3 //weight1, 加强field_value_factor，只能使用乘法，无法改变 }, { "weight": 20 //weight2 } ], "score_mode": "sum" } }"hits": [ { "_score": 50, "_source": { "language": "go", "like": 10 } }, { "_score": 35, "_source": { "language": "python", "like": 5 } }, { "_score": 35, "_source": { "language": "java", "like": 5 } } ]
其他题目样例
题目1
现有如下电影数据。查询title包含lord或者ring，如果tags字段（数组）包含death of a friend短语，那么提高权重
PUT movie_data/_bulk
{"index":{}}
{"revenue":0,"release_date":"2008-07-16T06:00:00.000Z","minutes":130,"movie_id":"15067","title":"The Good, The Bad, The Weird","tags":["gunslinger","gun"],"budget":10000000,"avg_score":7.1}
{"index":{}}
{"revenue":871368364,"release_date":"2001-12-18T07:00:00.000Z","minutes":178,"movie_id":"120","title":"The Lord of the Rings: The Fellowship of the Ring","tags":["elves","dwarves","orcs","middle-earth (tolkien)","hobbit","based on novel","mountains","fireworks","castle","volcano","password","death of a friend","uncle","mirror","wizard","sword and sorcery"],"budget":93000000,"avg_score":8}
{"index":{}}
{"revenue":1118888979,"release_date":"2003-12-01T07:00:00.000Z","minutes":201,"movie_id":"122","title":"The Lord of the Rings: The Return of the King","tags":["elves","orcs","middle-earth (tolkien)","based on novel","suspicion","bravery","war","honor","troll","brutality","violence","ghost","end of trilogy","quest","sword and sorcery"],"budget":94000000,"avg_score":8.1}
{"index":{}}
{"revenue":15304890,"release_date":"2006-09-06T06:00:00.000Z","minutes":96,"movie_id":"1381","title":"The Fountain","tags":["brain tumor","operation","queen","love of one's life","surgeon","tree","dying and death","transience","immortality","maya civilization","monkey","conquest"],"budget":35000000,"avg_score":6.8}
{"index":{}}
{"revenue":0,"release_date":"2000-09-08T06:00:00.000Z","minutes":96,"movie_id":"10685","title":"The Watcher","tags":["chicago","fbi","menace","covered investigation","state of emergency","investigation","suspense","serial killer","little girl","psychiatrist","fbi agent","psychotherapy"],"budget":33000000,"avg_score":4.9}
{"index":{}}
{"revenue":54700105,"release_date":"2004-04-15T06:00:00.000Z","minutes":124,"movie_id":"7220","title":"The Punisher","tags":["chain","submachine gun","undercover","smuggling","twin brother","marvel comic","one man army","massacre","extreme violence","family reunion","pier"],"budget":33000000,"avg_score":6.1}
{"index":{}}
{"revenue":78636257,"release_date":"2016-04-07T06:00:00.000Z","minutes":91,"movie_id":"323676","title":"The Boss","tags":["business woman","ex-con","duringcreditsstinger","girl scouts"],"budget":29000000,"avg_score":5.5}
{"index":{}}
{"revenue":115922175,"release_date":"2013-08-16T06:00:00.000Z","minutes":132,"movie_id":"132363","title":"The Butler","tags":["white house","butler","biography","civil rights"],"budget":25000000,"avg_score":7.2}
{"index":{}}
{"revenue":24902723,"release_date":"2015-08-06T06:00:00.000Z","minutes":120,"movie_id":"293646","title":"The 33","tags":["mining","chile","based on true story","survival","woman director","mining accident"],"budget":25000000,"avg_score":6}
{"index":{}}
{"revenue":85446075,"release_date":"2012-08-30T06:00:00.000Z","minutes":92,"movie_id":"77883","title":"The Possession","tags":[],"budget":14000000,"avg_score":5.8}
{"index":{}}
{"revenue":71009334,"release_date":"2013-10-25T06:00:00.000Z","minutes":117,"movie_id":"109091","title":"The Counselor","tags":["poetry","lawyer","drug smuggling","drug trafficking","red dress"],"budget":25000000,"avg_score":5}
{"index":{}}
{"revenue":43928932,"release_date":"2002-10-02T06:00:00.000Z","minutes":92,"movie_id":"4108","title":"The Transporter","tags":["car journey","transportation","auto","human trafficking"],"budget":21000000,"avg_score":6.6}
{"index":{}}
{"revenue":0,"release_date":"2009-10-16T06:00:00.000Z","minutes":101,"movie_id":"19904","title":"The Stepfather","tags":["step father","remake"],"budget":0,"avg_score":5.4}
{"index":{}}
{"revenue":75597042,"release_date":"2002-03-25T07:00:00.000Z","minutes":127,"movie_id":"14635","title":"The Rookie","tags":["father son relationship","baseball","sports team","sport","life's dream","growing up"],"budget":20000000,"avg_score":6.5}
{"index":{}}
{"revenue":0,"release_date":"2003-12-12T07:00:00.000Z","minutes":120,"movie_id":"41488","title":"The Statement","tags":[],"budget":0,"avg_score":5.9}
{"index":{}}
{"revenue":29657751,"release_date":"2012-03-09T07:00:00.000Z","minutes":111,"movie_id":"70436","title":"The Raven","tags":["poison","blackmail","masked ball","historical figure","buried alive","serial killer","deadline","edgar allan poe","newspaper review","baltimore maryland","newspaper office","hard times","life imitates art","pendulum"],"budget":26000000,"avg_score":6.1}
{"index":{}}
{"revenue":124272124,"release_date":"2011-08-09T06:00:00.000Z","minutes":146,"movie_id":"50014","title":"The Help","tags":["mississippi","based on novel","exploitation","racial segregation","racism","writer","maid","moral courage","ressentiment","southern belle","racial issues","1960s","newspaper columnist"],"budget":25000000,"avg_score":7.8}
{"index":{}}
{"revenue":0,"release_date":"2002-09-27T06:00:00.000Z","minutes":98,"movie_id":"10771","title":"The Tuxedo","tags":["bomb","intelligence","chauffeur","wound","secret agent","head injury"],"budget":0,"avg_score":5.3}
{"index":{}}
{"revenue":69700000,"release_date":"2000-07-07T06:00:00.000Z","minutes":104,"movie_id":"4244","title":"The Kid","tags":["age difference","midlife crisis","suppressed past","self-awareness","childhood memory","humor","changing the past or future"],"budget":65000000,"avg_score":6}
{"index":{}}
{"revenue":179379533,"release_date":"2012-05-15T06:00:00.000Z","minutes":83,"movie_id":"76493","title":"The Dictator","tags":["kurdish"],"budget":65000000,"avg_score":5.9}
答案
GET movie_data/_search
{
"query": {
"function_score": {
"query": {
"terms": {
"title": [
"lord",
"ring"
]
}
},
"functions": [
{
"filter": {
"match_phrase": {
"tags": "death of a friend"
}
},
"weight": 2
}
],
"boost_mode": "max"
}
}
}
参考地址
主要参考：https://blog.csdn.net/weixin_40341116/article/details/80931573
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