Match Phrase Query
国内对于 Elasticsearch 深入的人并不多,或者大多数大牛不屑于分享关于 Elasticsearch 的知识,这里讲讲 Elasticsearch 中的 Constant Score Query
(Elasticsearch6.0 会移除该查询,建议使用 Common Terms Query)
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概念
match_phrase查询分析文本,并从分析的文本中创建短语查询,match_phrase的主要作用是用于匹配包含当前短语的文档
语法
GET /_search { "query": { "match_phrase" : { "message" : "this is a test", "analyzer":"english", "slop":0 } } }
参数说明
- analyzer 指定何种分析器来对该短语进行分词处理
- slop 用于指定查询短语间的词项(term)间的距离
- boost 用于设置该查询的权重
slop 参数说明
我们先看下测试数据
POST /my_index/my_type/_search { "query": { "match_all": {} } }
结果为:
{ "took": 0, "timed_out": false, "_shards": { "total": 1, "successful": 1, "failed": 0 }, "hits": { "total": 3, "max_score": 1, "hits": [ { "_index": "my_index", "_type": "my_type", "_id": "6", "_score": 1, "_source": { "title": "this is not a test" } }, { "_index": "my_index", "_type": "my_type", "_id": "7", "_score": 1, "_source": { "title": "this is really a test" } }, { "_index": "my_index", "_type": "my_type", "_id": "8", "_score": 1, "_source": { "title": "this is really not a test" } } ] } }
我们使用 match_phrase 来进行普通(无参)查询
POST /my_index/my_type/_search { "query": { "match_phrase": { "title": "this is" } } }
结果会匹配所有文档,因为所有文档中都包含了 this is,
{ "took": 0, "timed_out": false, "_shards": { "total": 1, "successful": 1, "failed": 0 }, "hits": { "total": 3, "max_score": 1, "hits": [ { "_index": "my_index", "_type": "my_type", "_id": "6", "_score": 1, "_source": { "title": "this is not a test" } }, { "_index": "my_index", "_type": "my_type", "_id": "7", "_score": 1, "_source": { "title": "this is really a test" } }, { "_index": "my_index", "_type": "my_type", "_id": "8", "_score": 1, "_source": { "title": "this is really not a test" } } ] } }
我们改写查询为:
POST /my_index/my_type/_search { "query": { "match_phrase": { "title": "this is a" } } }
我们发现没有结果能匹配上,
{ "took": 0, "timed_out": false, "_shards": { "total": 1, "successful": 1, "failed": 0 }, "hits": { "total": 0, "max_score": null, "hits": [] } }
因为没有文档中包含"this is a",有人会说 不是都包含吗,只是中间隔了一个单词,对的这就是 match_phrase 的作用,匹配到的文档中必须
包含"this is a"而且顺序间隔必须跟输入的内容保持一致.
那如果我想文档中只要包含"this is a",但是他们之间能隔着一些单词呢?这个时候就需要靠参数来控制了,这个参数就是 slop,slop 的数值意味着
你输入的短语中每个词项(term)之间允许隔着几个词项(term),我们改写上面的查询:
POST /my_index/my_type/_search { "query": { "match_phrase": { "title": { "query": "this is a", "slop": 1 } } } }
我们发现会匹配到两条结果:
{ "took": 1, "timed_out": false, "_shards": { "total": 1, "successful": 1, "failed": 0 }, "hits": { "total": 2, "max_score": 0.26203912, "hits": [ { "_index": "my_index", "_type": "my_type", "_id": "6", "_score": 0.26203912, "_source": { "title": "this is not a test" } }, { "_index": "my_index", "_type": "my_type", "_id": "7", "_score": 0.26203912, "_source": { "title": "this is really a test" } } ] } }
发现在"is"和"a"之间都隔了一个单词(term),我们再次改写查询为:
POST /my_index/my_type/_search { "query": { "match_phrase": { "title": { "query": "this is a", "slop": 2 } } } }
我们发现隔了两个 term,也能搜出来了
{ "took": 0, "timed_out": false, "_shards": { "total": 1, "successful": 1, "failed": 0 }, "hits": { "total": 3, "max_score": 0.26203912, "hits": [ { "_index": "my_index", "_type": "my_type", "_id": "6", "_score": 0.26203912, "_source": { "title": "this is not a test" } }, { "_index": "my_index", "_type": "my_type", "_id": "7", "_score": 0.26203912, "_source": { "title": "this is really a test" } }, { "_index": "my_index", "_type": "my_type", "_id": "8", "_score": 0.16023767, "_source": { "title": "this is really not a test" } } ] } }
这就是 slop 的作用,在很多业务设计中都是需要用到这个参数来控制更好的全文检索的.
Java API
@Test public void test() throws Exception { String key = "this is a"; MatchPhraseQueryBuilder matchPhraseQueryBuilder = QueryBuilders.matchPhraseQuery("title",key); matchPhraseQueryBuilder.boost(10); matchPhraseQueryBuilder.analyzer("standard"); matchPhraseQueryBuilder.slop(2); SearchResponse searchResponse = client.prepareSearch() .setIndices("my_index") .setTypes("my_type") .setQuery(matchPhraseQueryBuilder) .execute() .actionGet(); System.out.println(ResponseUtil.parse(searchResponse)); }
更多关于 Java API,请参考:MatchPhraseQueryDemo
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