效果展示

雖然看起來巴適，但是挺簡單的！

📝 英文檢索

📝 中文單字檢索

二、使用步驟

1.引入maven依賴

<dependency>
	<groupId>org.springframework.boot</groupId>
	<artifactId>spring-boot-starter-data-elasticsearch</artifactId>
</dependency>

2. 撰寫spplication.properties

elasticsearch.host=localhost
elasticsearch.port=9200

3.配置客戶端

/**
 * 配置客戶端
 * @author BreezAm
 */
@Data
@Configuration
@ConfigurationProperties(prefix = "elasticsearch")
public class EsConfig extends AbstractElasticsearchConfiguration {
    private String host;
    private int port;

    @Override
    public RestHighLevelClient elasticsearchClient() {
        RestClientBuilder builder = RestClient.builder(new HttpHost(host, port));
        return new RestHighLevelClient(builder);
    }
}

4.高亮搜索

/**
 * 文章搜索
 *
 * @author BreezAm
 * @email lx90352@163.com
 * @date 2021-08-15 18:05:46
 */
@Service
public class EsSearchService {
    @Autowired
    private RestHighLevelClient restHighLevelClient;

    /**
     * 高亮搜索
     *
     * @param indices 索引名稱
     * @param name    搜索的欄位 高亮顯示的欄位
     * @param key     搜索的關鍵字
     * @return
     * @throws IOException
     */
    public List<Map<String, Object>> search(String indices, String name, String key) throws IOException {
        List<Map<String, Object>> list = new ArrayList<>();
        SearchRequest request = new SearchRequest();
        request.indices(indices);
        SearchSourceBuilder builder = new SearchSourceBuilder();
        TermQueryBuilder queryBuilder = QueryBuilders.termQuery(name, key);

        HighlightBuilder highlightBuilder = new HighlightBuilder();
        highlightBuilder.requireFieldMatch(false);
        highlightBuilder.preTags("<font color='red' size=4>");
        highlightBuilder.postTags("</font>");
        highlightBuilder.field(name);

        builder.highlighter(highlightBuilder);
        builder.query(queryBuilder);
        request.source(builder);

        SearchResponse search = restHighLevelClient.search(request, RequestOptions.DEFAULT);
        SearchHits hits = search.getHits();
        for (SearchHit hit : hits) {
            Map<String, Object> sourceAsMap = hit.getSourceAsMap();
            Map<String, HighlightField> fields = hit.getHighlightFields();
            HighlightField title = fields.get(name);
            if (title != null) {
                Text[] fragments = title.getFragments();
                String t = "";
                for (Text text : fragments) {
                    t = text + t;
                }
                sourceAsMap.put(name, t);
            }
            list.add(sourceAsMap);
        }
        return list;
    }
}

5.轉換成物體物件

private List<Article> getArticles(String key) throws IOException {
        List<Article> list = new ArrayList<>();
        List<Map<String, Object>> search = esSearchService.search("article", "title", key);
        for (Map<String, Object> map : search) {
            Article article = new Article();
            article.setId(Integer.valueOf(map.get("id").toString()));
            article.setTitle(map.get("title").toString());
            article.setCoverUrl(map.get("coverUrl").toString());
            article.setContent(map.get("content").toString());
            article.setPublishDate(stringToDate(map.get("publishDate").toString()));
            article.setReadNum(Integer.valueOf(map.get("readNum").toString()));
            article.setCommentNum(Integer.valueOf(map.get("commentNum").toString()));
            article.setSummary(map.get("summary").toString());
            list.add(article);
        }
        return list;
    }

總結

本文簡單實作了Elasticsearch的一個應用場景，其中還有些問題，那就是對中文只能單字搜索，英文可以進行單詞檢索，如果要對中文進行多字檢索，那就需要使用中文分詞器，推薦一款中文分詞器：elasticsearch-analysis-ik