13.es slop参数实现近似匹配以及原理剖析和相关实验

GET /forum/article/_search
{"query": {"match_phrase": {"title": {"query": "java spark","slop":  1}}}
}

slop的含义是什么？

query string，搜索文本，中的几个term，要经过几次移动才能与一个document匹配，这个移动的次数，就是slop

实际举例，一个query string经过几次移动之后可以匹配到一个document，然后设置slop

hello world, java is very good, spark is also very good.

java spark，match phrase，搜不到

如果我们指定了slop，那么就允许java spark进行移动，来尝试与doc进行匹配

java        is      very        good        spark       isjava        spark
java        -->     spark
java                -->         spark
java                            -->         spark

这里的slop，就是3，因为java spark这个短语，spark移动了3次，就可以跟一个doc匹配上了

slop的含义，不仅仅是说一个query string terms移动几次，跟一个doc匹配上。一个query string terms，最多可以移动几次去尝试跟一个doc匹配上

slop，设置的是3，那么就ok

GET /forum/article/_search
{"query": {"match_phrase": {"title": {"query": "java spark","slop":  3}}}
}

就可以把刚才那个doc匹配上，那个doc会作为结果返回

但是如果slop设置的是2，那么java spark，spark最多只能移动2次，此时跟doc是匹配不上的，那个doc是不会作为结果返回的

做实验，验证slop的含义

GET /forum/article/_search
{"query": {"match_phrase": {"content": {"query": "spark data","slop": 3}}}
}

spark is best big data solution based on scala ,an programming language similar to java sparkspark data--> data--> data
spark         --> data

GET /forum/article/_search
{"query": {"match_phrase": {"content": {"query": "data spark","slop": 5}}}
}

spark       is              best        big         datadata        spark
-->         data/spark
spark       <--data
spark       -->             data
spark                       -->         data
spark                                   -->         data

slop搜索下，关键词离的越近，relevance score就会越高，做实验说明。。。

{"took": 4,"timed_out": false,"_shards": {"total": 5,"successful": 5,"failed": 0},"hits": {"total": 3,"max_score": 1.3728157,"hits": [{"_index": "forum","_type": "article","_id": "2","_score": 1.3728157,"_source": {"articleID": "KDKE-B-9947-#kL5","userID": 1,"hidden": false,"postDate": "2017-01-02","tag": ["java"],"tag_cnt": 1,"view_cnt": 50,"title": "this is java blog","content": "i think java is the best programming language","sub_title": "learned a lot of course","author_first_name": "Smith","author_last_name": "Williams","new_author_last_name": "Williams","new_author_first_name": "Smith"}},{"_index": "forum","_type": "article","_id": "5","_score": 0.5753642,"_source": {"articleID": "DHJK-B-1395-#Ky5","userID": 3,"hidden": false,"postDate": "2017-03-01","tag": ["elasticsearch"],"tag_cnt": 1,"view_cnt": 10,"title": "this is spark blog","content": "spark is best big data solution based on scala ,an programming language similar to java spark","sub_title": "haha, hello world","author_first_name": "Tonny","author_last_name": "Peter Smith","new_author_last_name": "Peter Smith","new_author_first_name": "Tonny"}},{"_index": "forum","_type": "article","_id": "1","_score": 0.28582606,"_source": {"articleID": "XHDK-A-1293-#fJ3","userID": 1,"hidden": false,"postDate": "2017-01-01","tag": ["java","hadoop"],"tag_cnt": 2,"view_cnt": 30,"title": "this is java and elasticsearch blog","content": "i like to write best elasticsearch article","sub_title": "learning more courses","author_first_name": "Peter","author_last_name": "Smith","new_author_last_name": "Smith","new_author_first_name": "Peter"}}]}
}

GET /forum/article/_search
{"query": {"match_phrase": {"content": {"query": "java best","slop": 15}}}
}

{"took": 3,"timed_out": false,"_shards": {"total": 5,"successful": 5,"failed": 0},"hits": {"total": 2,"max_score": 0.65380025,"hits": [{"_index": "forum","_type": "article","_id": "2","_score": 0.65380025,"_source": {"articleID": "KDKE-B-9947-#kL5","userID": 1,"hidden": false,"postDate": "2017-01-02","tag": ["java"],"tag_cnt": 1,"view_cnt": 50,"title": "this is java blog","content": "i think java is the best programming language","sub_title": "learned a lot of course","author_first_name": "Smith","author_last_name": "Williams","new_author_last_name": "Williams","new_author_first_name": "Smith"}},{"_index": "forum","_type": "article","_id": "5","_score": 0.07111243,"_source": {"articleID": "DHJK-B-1395-#Ky5","userID": 3,"hidden": false,"postDate": "2017-03-01","tag": ["elasticsearch"],"tag_cnt": 1,"view_cnt": 10,"title": "this is spark blog","content": "spark is best big data solution based on scala ,an programming language similar to java spark","sub_title": "haha, hello world","author_first_name": "Tonny","author_last_name": "Peter Smith","new_author_last_name": "Peter Smith","new_author_first_name": "Tonny"}}]}
}

其实，加了slop的phrase match，就是proximity match，近似匹配

1、java spark，短语，doc，phrase match
2、java spark，可以有一定的距离，但是靠的越近，越先搜索出来，proximity match

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