个人名片:
博主:酒徒ᝰ.
个人简介:沉醉在酒中,借着一股酒劲,去拼搏一个未来。
本篇励志:三人行,必有我师焉。
本项目基于B站黑马程序员Java《SpringCloud微服务技术栈》,SpringCloud+RabbitMQ+Docker+Redis+搜索+分布式
【SpringCloud+RabbitMQ+Docker+Redis+搜索+分布式,系统详解springcloud微服务技术栈课程|黑马程序员Java微服务】 点击观看
目录
- 二、自动补全
- 4. 实现酒店搜索框自动补全
二、自动补全
4. 实现酒店搜索框自动补全
现在,我们的hotel索引库还没有设置拼音分词器,需要修改索引库中的配置。但是我们知道索引库是无法修改的,只能删除然后重新创建。
另外,我们需要添加一个字段,用来做自动补全,将brand、suggestion、city等都放进去,作为自动补全的提示。
因此,总结一下,我们需要做的事情包括:
- 修改hotel索引库结构,设置自定义拼音分词器
- 修改索引库的name、all字段,使用自定义分词器
- 索引库添加一个新字段suggestion,类型为completion类型,使用自定义的分词器
- 给HotelDoc类添加suggestion字段,内容包含brand、business
- 重新导入数据到hotel库
- 修改酒店映射结构
方法:
索引库无法修改,需要删除重建。
从之前定义的hotel的索引库进行修改。
①. 获取索引库:
GET /hotel
复制mappings和settings。
②. 删除索引库:
DELETE /hotel
③. 建立索引库
粘贴mappings和settings,进行修改完善。
PUT /hotel
{
"mappings" : {
"properties" : {
"address" : {
"type" : "keyword",
"index" : false
},
"all" : {
"type" : "text",
"analyzer" : "text_analyzer",
"search_analyzer": "ik_smart"
},
"brand" : {
"type" : "keyword",
"copy_to" : [
"all"
]
},
"business" : {
"type" : "keyword",
"copy_to" : [
"all"
]
},
"city" : {
"type" : "keyword"
},
"id" : {
"type" : "keyword"
},
"location" : {
"type" : "geo_point"
},
"name" : {
"type" : "text",
"analyzer": "text_analyzer",
"search_analyzer": "ik_smart",
"copy_to" : [
"all"
]
},
"pic" : {
"type" : "keyword",
"index" : false
},
"price" : {
"type" : "integer"
},
"score" : {
"type" : "integer"
},
"starName" : {
"type" : "keyword"
},
"suggestion": {
"type": "completion",
"analyzer": "completion_analyzer"
}
}
},
"settings" : {
"analysis": {
"analyzer": {
"text_analyzer": {
"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_tokenizer": false
}
}
}
}
}
- 修改HotelDoc实体
HotelDoc中要添加一个字段,用来做自动补全,内容可以是酒店品牌、城市、商圈等信息。按照自动补全字段的要求,最好是这些字段的数组。
因此我们在HotelDoc中添加一个suggestion字段,类型为
List<String>
,然后将brand、city、business等信息放到里面。
代码如下:
package cn.itcast.hotel.pojo;
import lombok.Data;
import lombok.NoArgsConstructor;
import java.util.Arrays;
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();
this.suggestion = Arrays.asList(this.brand, this.city, this.business);
}
}
- 重新导入
重新执行之前编写的导入数据功能,可以看到新的酒店数据中包含了suggestion:
再次执行单元测试中的批量导入。
结果:
发现如果是2个商圈的话,会有顿号。需要进行处理。
将顿号进行分割
package cn.itcast.hotel.pojo;
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();
if (this.business.contains("、")) {
String[] arr = this.business.split("、");
this.suggestion = new ArrayList<>();
this.suggestion.add(this.brand);
this.suggestion.add(this.city);
Collections.addAll(this.suggestion, arr);
}else {
this.suggestion = Arrays.asList(this.brand, this.city, this.business);
}
}
}
结果:
- 自动补全查询的JavaAPI
之前我们学习了自动补全查询的DSL,而没有学习对应的JavaAPI,这里给出一个示例:
es语句:
GET /hotel/_search
{
"suggest": {
"suggestions": {
"text": "h",
"completion": {
"field": "suggestion",
"skip_duplicates": true,
"size": 10
}
}
}
}
java代码,对应上面的es语句。
@Test
void testSuggestionSearch() throws IOException {
SearchRequest request = new SearchRequest("hotel");
request.source().suggest(new SuggestBuilder().addSuggestion(
"mySuggestion",
SuggestBuilders
.completionSuggestion("suggestion")
.prefix("h")
.skipDuplicates(true)
.size(10)
));
SearchResponse response = client.search(request, RequestOptions.DEFAULT);
Suggest suggest = response.getSuggest();
CompletionSuggestion suggestion = suggest.getSuggestion("mySuggestion");
List<CompletionSuggestion.Entry.Option> options = suggestion.getOptions();
List<String> list = new ArrayList<>(options.size());
for (CompletionSuggestion.Entry.Option option : options) {
String text = option.getText().toString();
list.add(text);
}
System.out.println(list);
}
运行结果:
- 实现搜索框自动补全
查看前端页面,可以发现当我们在输入框键入时,前端会发起ajax请求:
返回值是补全词条的集合,类型为List<String>
1)在cn.itcast.hotel.web
包下的HotelController
中添加新接口,接收新的请求:
@GetMapping("/suggestion")
public List<String> getSuggestions(@org.springframework.web.bind.annotation.RequestParam("key") String key) {
return hotelService.getSuggestions(key);
}
2)在cn.itcast.hotel.service
包下的IhotelService
中添加方法:
List<String> getSuggestions(String key);
3)在cn.itcast.hotel.service.impl.HotelService
中实现该方法:
@Override
public List<String> getSuggestions(String key) {
try {
SearchRequest request = new SearchRequest("hotel");
request.source().suggest(new SuggestBuilder().addSuggestion(
"MySuggestion",
SuggestBuilders
.completionSuggestion("suggestion")
.prefix(key)
.skipDuplicates(true)
.size(10)
));
SearchResponse response = client.search(request, RequestOptions.DEFAULT);
Suggest suggest = response.getSuggest();
CompletionSuggestion suggestion = suggest.getSuggestion("MySuggestion");
List<CompletionSuggestion.Entry.Option> options = suggestion.getOptions();
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);
}
}