0
点赞
收藏
分享

微信扫一扫

elasticsearch的搜索补全提示

飞空之羽 2023-09-12 阅读 46
elasticsearch大数据搜索引擎
加载失败

当用户在搜索框输入字符时，我们应该提示出与该字符有关的搜索项

拼音分词器

下载 

要实现根据字母做补全，就必须对文档按照拼音分词，GitHub上有拼音分词插件

GitHub - medcl/elasticsearch-analysis-pinyin: This Pinyin Analysis plugin is used to do conversion between Chinese characters and Pinyin.

解压

解压到一个文件夹中去

上传 

上传到服务器中，elasticsearch的plugin目录  

重启 

重启elasticsearch  

docker restart es

 测试

POST /_analyze
{
  "text": "如家酒店还不错",
  "analyzer": "pinyin"
}

返回拼音 

自定义分词器

默认的拼音分词器会将每个汉字单独分为拼音，而我们希望的是每个词条形成一组拼音，需要对拼音分词器做个性化定制，形成自定义分词器。

自定义分词器 

PUT /myanalyzer
{
  "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",
        "search_analyzer": "ik_smart"
      }
    }
  }
}
  • analyzer自定义分词器 
  • my_analyzer分词器名称
  • filter自定义tokenizer filter
  • py过滤器名称
  • filter.type过滤器类型，这里是pinyin
  • name分词的字段

 测试

POST /myanalyzer/_analyze
{
  "text": ["华美达酒店还不错"],
  "analyzer": "my_analyzer"
}

结果

自动补全查询 

创建索引库

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"
      }
    }
  }
}

HotelDoc实体

import lombok.Data;
import lombok.NoArgsConstructor;

import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;

@Data
@NoArgsConstructor
public class HotelDoc {
    private Long id;
    private String name;
    private String address;
    private Integer price;
    private Integer score;
    private String brand;
    private String city;
    private String starName;
    private String business;
    private String location;
    private String pic;
    private Object distance;
    private Boolean isAD;
    private List<String> suggestion;

    public HotelDoc(Hotel hotel) {
        this.id = hotel.getId();
        this.name = hotel.getName();
        this.address = hotel.getAddress();
        this.price = hotel.getPrice();
        this.score = hotel.getScore();
        this.brand = hotel.getBrand();
        this.city = hotel.getCity();
        this.starName = hotel.getStarName();
        this.business = hotel.getBusiness();
        this.location = hotel.getLatitude() + ", " + hotel.getLongitude();
        this.pic = hotel.getPic();
        // 组装suggestion
        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);
        }
    }
}

导入数据

 @Test
    void testBulkRequest() throws IOException {
        // 批量查询酒店数据
        List<Hotel> hotels = hotelService.list();

        // 1.创建Request
        BulkRequest request = new BulkRequest();
        // 2.准备参数，添加多个新增的Request
        for (Hotel hotel : hotels) {
            // 2.1.转换为文档类型HotelDoc
            HotelDoc hotelDoc = new HotelDoc(hotel);
            // 2.2.创建新增文档的Request对象
            request.add(new IndexRequest("hotel")
                    .id(hotelDoc.getId().toString())
                    .source(JSON.toJSONString(hotelDoc), XContentType.JSON));
        }
        // 3.发送请求
        client.bulk(request, RequestOptions.DEFAULT);
    }

controller类



import cn.itcast.hotel.pojo.PageResult;
import cn.itcast.hotel.pojo.RequestParams;
import cn.itcast.hotel.service.IHotelService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;

import java.util.List;
import java.util.Map;

@RestController
@RequestMapping("/hotel")
public class HotelController {

    @Autowired
    private IHotelService hotelService;
	// 搜索酒店数据


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

service类


import cn.itcast.hotel.mapper.HotelMapper;
import cn.itcast.hotel.pojo.Hotel;
import cn.itcast.hotel.pojo.HotelDoc;
import cn.itcast.hotel.pojo.PageResult;
import cn.itcast.hotel.pojo.RequestParams;
import cn.itcast.hotel.service.IHotelService;
import com.alibaba.fastjson.JSON;
import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;

import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.geo.GeoPoint;
import org.elasticsearch.common.unit.DistanceUnit;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.functionscore.FunctionScoreQueryBuilder;
import org.elasticsearch.index.query.functionscore.ScoreFunctionBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.Aggregations;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.sort.SortBuilders;
import org.elasticsearch.search.sort.SortOrder;
import org.elasticsearch.search.suggest.Suggest;
import org.elasticsearch.search.suggest.SuggestBuilder;
import org.elasticsearch.search.suggest.SuggestBuilders;
import org.elasticsearch.search.suggest.completion.CompletionSuggestion;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;

import java.io.IOException;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

@Service
public class HotelService extends ServiceImpl<HotelMapper, Hotel> implements IHotelService {

    @Autowired
    private RestHighLevelClient client;

   

    @Override
    public List<String> getSuggestions(String prefix) {
        try {
            // 1.准备Request
            SearchRequest request = new SearchRequest("hotel");
            // 2.准备DSL
            request.source().suggest(new SuggestBuilder().addSuggestion(
                    "suggestions",
                    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("suggestions");
            // 4.2.获取options
            List<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);
        }
    }

  

   

  
}

测试 

举报

相关推荐

搜索自动补全-elasticsearch实现

qt开发语言c++QWidget

ElasticSearch搜索提示实现

ElasticSearchSearch

Elasticsearch-19.自动补全与基于上下文的提示与跨集群搜索和跨集群搜索

elasticsearch搜索引擎经验分享数据分析

Elasticsearch 自动补全与机遇上下文的提示

elasticsearch数据搜索lucene大数据

【ES】Elasticsearch实现电商词库提示搜索

后端elasticsearch

Elasticsearch Suggester详解（自动补全）

elasticsearchjavaessuggesterjavapub

eclipse代码补全、代码提示及防空格自动补全

gitgithub动态规划

ES Suggester 搜索自动补全

日记本

Elasticsearch汉字补全和拼写纠错

elasticsearch搜索引擎大数据

AJAX实现搜索联想 自动补全

网络wireshark信息与通信tcp/ip
0 条评论
加载失败