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news 2025/9/17 10:50:40

cms 类网站,wordpress 影视源码,中企动力科技股份有限公司电话,兼职网站建设策划书效果展示在搜索框根据拼音首字母进行提示拼音分词器和IK中文分词器一样的用法，按照下面的顺序执行。 # 进入容器内部 docker exec -it elasticsearch /bin/bash# 在线下载并安装 ./bin/elasticsearch-plugin install https://github.com/medcl/elasticsearch…

效果展示

在搜索框根据拼音首字母进行提示

拼音分词器

和IK中文分词器一样的用法，按照下面的顺序执行。

# 进入容器内部
docker exec -it elasticsearch /bin/bash# 在线下载并安装
./bin/elasticsearch-plugin  install https://github.com/medcl/elasticsearch-analysis-pinyin/releases/download/v7.12.1/elasticsearch-analysis-pinyin-7.12.1.zip#退出
exit
#重启容器
docker restart elasticsearch

重启完成之后进行拼音分词可以看见每个字都有，以及整个词语首字母组合成的一个。

自定义分词器

只用默认的功能还远远不够。

先用ik进行分词，再用拼音分词器分

PUT /test
{"settings": {"analysis": {"analyzer": { "my_analyzer": { "tokenizer": "ik_max_word","filter": "py"}},"filter": {"py": { "type": "pinyin","keep_full_pinyin": false,"keep_joined_full_pinyin": true,"keep_original": true,"limit_first_letter_length": 16,"remove_duplicated_term": true,"none_chinese_pinyin_tokenize": false}}}},"mappings": {"properties": {"name":{"type": "text","analyzer": "my_analyzer"}}}
}

在test这份索引库当中再次测试就可以看见既有中文也有拼音分词了。

POST /test/_analyze
{"text":["北岭山脚鼠鼠"],"analyzer": "my_analyzer"
}

但是这里还会有问题，用中文搜索时会把同音字也一起搜索到

指定搜索时和创建时用不同的分词器

在上面的语句里面加上了一条

"search_analyzer": "ik_smart"

POST /test/_doc/1
{"id": 1,"name": "狮子"
}
POST /test/_doc/2
{"id": 2,"name": "虱子"
}GET /test/_search
{"query": {"match": {"name": "掉入狮子笼咋办"}}
}

结果如下

DSL实现自动补全查询

查询补全语法

数据准备

// 自动补全的索引库
PUT test2
{"mappings": {"properties": {"title":{"type": "completion"}}}
}
// 示例数据
POST test2/_doc
{"title": ["Sony", "WH-1000XM3"]
}
POST test2/_doc
{"title": ["SK-II", "PITERA"]
}
POST test2/_doc
{"title": ["Nintendo", "switch"]
}

查询语句

// 自动补全查询
GET /test2/_search
{"suggest": {"title_suggest": {"text": "s", // 关键字"completion": {"field": "title", // 补全字段"skip_duplicates": true, // 跳过重复的"size": 10 // 获取前10条结果}}}
}

酒店数据自动补全

修改酒店索引库数据结构

DELETE /hotel
# 酒店数据索引库
PUT /hotel
{"settings": {"analysis": {"analyzer": {"text_anlyzer": {"tokenizer": "ik_max_word","filter": "py"},"completion_analyzer": {"tokenizer": "keyword","filter": "py"}},"filter": {"py": {"type": "pinyin","keep_full_pinyin": false,"keep_joined_full_pinyin": true,"keep_original": true,"limit_first_letter_length": 16,"remove_duplicated_term": true,"none_chinese_pinyin_tokenize": false}}}},"mappings": {"properties": {"id":{"type": "keyword"},"name":{"type": "text","analyzer": "text_anlyzer","search_analyzer": "ik_smart","copy_to": "all"},"address":{"type": "keyword","index": false},"price":{"type": "integer"},"score":{"type": "integer"},"brand":{"type": "keyword","copy_to": "all"},"city":{"type": "keyword"},"starName":{"type": "keyword"},"business":{"type": "keyword","copy_to": "all"},"location":{"type": "geo_point"},"pic":{"type": "keyword","index": false},"all":{"type": "text","analyzer": "text_anlyzer","search_analyzer": "ik_smart"},"suggestion":{"type": "completion","analyzer": "completion_analyzer"}}}
}

先删除再重新创建一个

然后在HotelDoc这个实体类里面新增一个字段suggestion,这个字段是由现有的字段组成放进去。

private List<String> suggestion;

this.suggestion= Arrays.asList(this.brand,this.business);

然后重新执行之前的批量插入的语句

再次测试搜索可以看见搜索得到的结果里面多出了品牌和商圈信息。

但是这里business字段有可能是由多个的，要进行切割。

修改HotelDoc上面的构造方法的代码

        if(this.business.contains("、")){//business有多个值，需要切割String[] arr = this.business.split("、");//添加元素this.suggestion=new ArrayList<>();this.suggestion.add(this.brand);Collections.addAll(this.suggestion,arr);}else {this.suggestion = Arrays.asList(this.brand, this.business);}

再次插入数据可以看见多个词条已经分开了。

进行搜索测试

搜索所有以h开头的词条

RestAPI实现自动补全

请求组装+响应解析

    @Testvoid testSuggest() throws IOException {//1.准备requestSearchRequest request = new SearchRequest("hotel");//2.准备DSlrequest.source().suggest(new SuggestBuilder().addSuggestion("suggestion",SuggestBuilders.completionSuggestion("suggestion").prefix("h").skipDuplicates(true).size(10)));//3.发起请求SearchResponse response = client.search(request, RequestOptions.DEFAULT);//4.解析结果Suggest suggest= response.getSuggest();//4.1根据补全查询名称，获取补全结果CompletionSuggestion suggestions = suggest.getSuggestion("suggestion");//4.2获取optionsList<CompletionSuggestion.Entry.Option> options = suggestions.getOptions();//4.3遍历for (CompletionSuggestion.Entry.Option option : options) {String text = option.getText().toString();System.out.println(text);}}

实现搜索框自动补全

Controller中

    @GetMapping("suggestion")public List<String>getSuggestion(@RequestParam("key")String prefix){return hotelService.getSuggestions(prefix);}

Service中

    @Overridepublic List<String> getSuggestions(String prefix) {try {//1.准备requestSearchRequest request = new SearchRequest("hotel");//2.准备DSlrequest.source().suggest(new SuggestBuilder().addSuggestion("suggestion",SuggestBuilders.completionSuggestion("suggestion").prefix(prefix).skipDuplicates(true).size(10)));//3.发起请求SearchResponse response = client.search(request, RequestOptions.DEFAULT);//4.解析结果Suggest suggest= response.getSuggest();//4.1根据补全查询名称，获取补全结果CompletionSuggestion suggestions = suggest.getSuggestion("suggestion");//4.2获取optionsList<CompletionSuggestion.Entry.Option> options = suggestions.getOptions();//4.3遍历List<String>list=new ArrayList<>(options.size());for (CompletionSuggestion.Entry.Option option : options) {String text = option.getText().toString();list.add(text);}return list;} catch (IOException e) {throw new RuntimeException(e);}}