spring boot 3使用 elasticsearch 提供搜索建议的实例详解
作者:北漂的菜小白
这篇文章主要介绍了spring boot3使用elasticsearch提供搜索建议,本文通过实例代码给大家介绍的非常详细,对大家的学习或工作具有一定的参考借鉴价值,需要的朋友可以参考下
业务场景
用户输入内容,快速返回建议,示例效果如下
技术选型
- spring boot 3
- elasticsearch server 7.17.4
- spring data elasticsearch 5.0.1
- elasticsearch-java-api 8.5.3
pom.xml
<dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-elasticsearch</artifactId> </dependency> <dependency> <groupId>org.elasticsearch</groupId> <artifactId>elasticsearch</artifactId> <version>8.5.3</version> </dependency>
yml
spring: elasticsearch: uris: http://127.0.0.1:9200 data: elasticsearch: repositories: enabled: true
实体类
为了启动时候自己创建相关的index,以及存储搜索内容
import org.springframework.data.annotation.Id; import org.springframework.data.elasticsearch.annotations.CompletionField; import org.springframework.data.elasticsearch.annotations.Document; import org.springframework.data.elasticsearch.annotations.Field; import org.springframework.data.elasticsearch.annotations.FieldType; import org.springframework.data.elasticsearch.core.suggest.Completion; /** * 业务搜索建议 * @author chunyang.leng * @date 2023-08-21 14:24 */ @Document(indexName = "biz_suggest") public class BizSuggestDocument { @Id private Long id; /** * 标题,可以用于纠错,不参与搜索建议 */ @Field(type = FieldType.Text, analyzer = "ik_max_word") private String name; /** * 自动补全标题,搜索建议使用的对象 */ @CompletionField(analyzer = "ik_max_word", searchAnalyzer = "ik_smart") private Completion completionName; public Long getId() { return id; } public void setId(Long id) { this.id = id; } public String getName() { return name; } public void setName(String name) { this.name = name; } public Completion getCompletionName() { return completionName; } public void setCompletionName(Completion completionName) { this.completionName = completionName; } }
搜索结果对象
/** * 搜索建议返回对象 * @author chunyang.leng * @date 2023-08-21 19:02 */ public class SuggestVO { /** * 数据id */ private Long id; /** * 内容 */ private String text; public Long getId() { return id; } public void setId(Long id) { this.id = id; } public String getText() { return text; } public void setText(String text) { this.text = text; } }
搜索业务层
数据导入时候,因为有数据格式要求,必须使用实体类进行写入
import co.elastic.clients.elasticsearch.ElasticsearchClient; import co.elastic.clients.elasticsearch.core.SearchRequest; import co.elastic.clients.elasticsearch.core.SearchResponse; import co.elastic.clients.elasticsearch.core.search.CompletionSuggester; import co.elastic.clients.elasticsearch.core.search.Suggester; import co.elastic.clients.elasticsearch.core.search.Suggestion; import co.elastic.clients.elasticsearch.core.search.TermSuggester; import java.io.IOException; import java.util.List; import java.util.Map; import java.util.stream.Collectors; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.stereotype.Component; /** * @author chunyang.leng * @date 2023-08-18 18:29 */ @Component public class SuggestionServiceImpl implements SuggestionService { /** * 搜索建议 key */ private static final String SUGGEST_TAG = "suggest_query"; /** * 纠错key */ private static final String TERM_TAG = "suggest_team"; @Autowired private ElasticsearchClient elasticsearchClient; /** * 根据 关键词,返回搜索建议 * * @param match 搜索关键词 * @return 搜索建议,10条 */ @Override public List<SuggestVO> suggest(String match) throws IOException { SearchRequest completionSuggestSearchRequest = new SearchRequest .Builder() .suggest( new Suggester .Builder() .suggesters(SUGGEST_TAG, builder -> builder.prefix(match) .completion(new CompletionSuggester .Builder() .field("completionName") .size(10) .build() ) ) .build()) .build(); SearchResponse<BizSuggestDocument> completionSuggestSearch = elasticsearchClient.search(completionSuggestSearchRequest, BizSuggestDocument.class); Map<String, List<Suggestion<BizSuggestDocument>>> suggest = completionSuggestSearch.suggest(); List<Suggestion<BizSuggestDocument>> suggestions = suggest.get(SUGGEST_TAG); return suggestions .parallelStream() .flatMap(x -> x.completion() .options() .stream() .map(o -> { // 原始数据对象,如果有需要,可以对其进行操作 BizSuggestDocument source = o.source(); String text = o.text(); String idValue = o.id(); Long id = Long.valueOf(idValue); SuggestVO vo = new SuggestVO(); vo.setId(id); vo.setText(text); return vo; })) .collect(Collectors.toList()); } }
导入数据
import org.junit.jupiter.api.Test; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.boot.test.context.SpringBootTest; import org.springframework.data.elasticsearch.client.elc.ElasticsearchTemplate; import org.springframework.data.elasticsearch.core.suggest.Completion; /** * @author chunyang.leng * @date 2023-08-21 18:09 */ @SpringBootTest public class EsTest { @Autowired private ElasticsearchTemplate elasticsearchTemplate; @Test public void test() { BizSuggestDocument document = new BizSuggestDocument(); document.setId(1L); document.setName("飞翔的世界"); String[] s = "你的世界1.0,我的世界2.0".split(","); Completion completion = new Completion(s); completion.setWeight(10); document.setCompletionName(completion); elasticsearchTemplate.save(document); BizSuggestDocument document2 = new BizSuggestDocument(); document2.setId(2L); document2.setName("路人甲乙丙"); String[] s2 = "你的滑板鞋1.0,我的滑板鞋2.0".split(","); Completion completion1 = new Completion(s2); completion1.setWeight(5); document2.setCompletionName(completion1); elasticsearchTemplate.save(document2); } }
POSTMAN 测试结果如下
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