自动补全
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
这种根据用户输入的字母,提示完整词条的功能,就是自动补全了。
因为需要根据拼音字母来推断,因此要用到拼音分词功能。
2.3.自动补全查询
elasticsearch提供了Completion Suggester查询来实现自动补全功能。这个查询会匹配以用户输入内容开头的词条并返回。为了提高补全查询的效率,对于文档中字段的类型有一些约束:
参与补全查询的字段必须是completion类型。
字段的内容一般是用来补全的多个词条形成的数组。
比如,一个这样的索引库:
// 创建索引库
PUT /test
{
"mappings": {
"properties": {
"title":{
"type": "completion"
}
}
}
}
然后插入下面的数据:
// 示例数据
POST test/_doc
{
"title": ["Sony", "WH-1000XM3"]
}
POST test/_doc
{
"title": ["SK-II", "PITERA"]
}
POST test/_doc
{
"title": ["Nintendo", "switch"]
}
查询的DSL语句如下:
// 自动补全查询
GET /test/_search
{
"suggest": {
"title_suggest": {
"text": "s", // 关键字
"completion": {
"field": "title", // 补全查询的字段
"skip_duplicates": true, // 跳过重复的
"size": 10 // 获取前10条结果
}
}
}
}
2.4.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
2.4.1.修改酒店映射结构
代码如下:
// 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"
}
}
}
}
2.4.2.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.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);
}
}
}
2.4.3.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:
GET /hotel/_search
{
"query": {
"match_all": {}
}
}
查询结果
{
"took" : 818,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 201,
"relation" : "eq"
},
"max_score" : 1.0,
"hits" : [
{
"_index" : "hotel",
"_type" : "_doc",
"_id" : "36934",
"_score" : 1.0,
"_source" : {
"address" : "静安交通路40号",
"brand" : "7天酒店",
"business" : "四川北路商业区",
"city" : "上海",
"id" : 36934,
"location" : "31.251433, 121.47522",
"name" : "7天连锁酒店(上海宝山路地铁站店)",
"pic" : "https://m.tuniucdn.com/fb2/t1/G1/M00/3E/40/Cii9EVkyLrKIXo1vAAHgrxo_pUcAALcKQLD688AAeDH564_w200_h200_c1_t0.jpg",
"price" : 336,
"score" : 37,
"starName" : "二钻",
"suggestion" : [
"7天酒店",
"四川北路商业区"
]
}
}
]
}
}
搜索测试
GET /hotel/_search
{
"suggest": {
"suggestion_suggest": {
"text": "h",
"completion": {
"field": "suggestion",
"skip_duplicates": true,
"size": 10
}
}
}
}
搜索结果
{
"took" : 35,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 0,
"relation" : "eq"
},
"max_score" : null,
"hits" : [ ]
},
"suggest" : {
"suggestion_suggest" : [
{
"text" : "h",
"offset" : 0,
"length" : 1,
"options" : [
{
"text" : "华美达",
"_index" : "hotel",
"_type" : "_doc",
"_id" : "47066",
"_score" : 1.0,
"_source" : {
"address" : "施新路958号",
"brand" : "华美达",
"business" : "浦东机场核心区",
"city" : "上海",
"id" : 47066,
"location" : "31.147989, 121.759199",
"name" : "上海浦东东站华美达酒店",
"pic" : "https://m.tuniucdn.com/fb3/s1/2n9c/2pNujAVaQbXACzkHp8bQMm6zqwhp_w200_h200_c1_t0.jpg",
"price" : 408,
"score" : 46,
"starName" : "四钻",
"suggestion" : [
"华美达",
"浦东机场核心区"
]
}
}
]
}
]
}
}
2.4.4.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:
GET /hotel/_search
{
"suggest": {
"suggestion_suggest": {
"text": "h", // 关键字
"completion": {
"field": "suggestion", // 查询字段
"skip_duplicates": true,
"size": 10
}
}
}
}
// 准备请求
SearchRequest request = new SearchRequest("hotel");
// 请求参数
request.source().suggest(new SuggestBuilder()
.addSuggestion(
"suggestion_suggest",
SuggestBuilders
.completionSuggestion("suggestion")
.prefix("h")
.skipDuplicates(true)
.size(10)
));
// 发送请求
this.restHighLevelClient.search(request, RequestOptions.DEFAULT);
而自动补全的结果也比较特殊,解析的代码如下:
{
"took" : 35,
"timed_out" : false,
"_shards" : {},
"hits" : {},
"suggest" : {
"suggestion_suggest" : [
{
"text" : "h",
"offset" : 0,
"length" : 1,
"options" : [
{
"text" : "华美达"
},
{
"text" : "后海"
},
{
"text" : "和颐"
}
]
}
]
}
}
java代码
Suggest suggest = response.getSuggest();
CompletionSuggestion suggestionSuggest = suggest.getSuggestion("suggestion_suggest");
for (CompletionSuggestion.Entry.Option option : suggestionSuggest.getOptions()) {
String text = option.getText().string();
System.out.println(text);
}
2.4.5.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:
GET http://localhost:8089/hotel/suggestion?key=x
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(@RequestParam("key") String prefix) {
return hotelService.getSuggestions(prefix);
}
2)在cn.itcast.hotel.service
包下的IhotelService
中添加方法:
List<String> getSuggestions(String prefix);
3)在cn.itcast.hotel.service.impl.HotelService
中实现该方法:
@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);
}
}