一、前言
在實際使用中搜索結果中的關鍵詞前端通常會以特殊形式展示,比如標記為紅色使人一目了然。我們可以通過 ES 提供的高亮功能實現此效果。
二、代碼實現
前文查詢是通過一個繼承 ElasticsearchRepository 的接口實現的,但是如果要實現高亮,這種方式就滿足不了了,這里我們需要通過 ElasticsearchTemplate 來完成。
注入 ElasticsearchTemplate
① ElasticsearchTemplate 類簡介
public class ElasticsearchTemplate implements ElasticsearchOperations, ApplicationContextAware { ...省略其余部分... }
從上述源碼中可以看到 ElasticsearchTemplate 實現了 ApplicationContextAware 接口,表明這個類是被 Spring 管理的,可以直接注入使用。
② 業務實現類注入 ElasticsearchTemplate
@Autowired private ElasticsearchTemplate elasticsearchTemplate;
查詢對象指定高亮字段
在構建查詢對象時需要指定高亮字段,通過 withHighlightFields 方法設置。
private SearchQuery getKnowledgeSearchQuery(KnowledgeSearchParam param) { Pageable pageable = PageRequest.of(param.getStart() / param.getSize(), param.getSize()); String knowledgeTitleFieldName = "knowledgeTitle"; String knowledgeContentFieldName = "knowledgeContent"; String preTags = "<span style=\"color:#F56C6C\">"; String postTags = "</span>"; HighlightBuilder.Field knowledgeTitleField = new HighlightBuilder.Field(knowledgeTitleFieldName).preTags(preTags).postTags(postTags); HighlightBuilder.Field knowledgeContentField = new HighlightBuilder.Field(knowledgeContentFieldName).preTags(preTags).postTags(postTags); BoolQueryBuilder queryBuilder = QueryBuilders.boolQuery(); queryBuilder.must(QueryBuilders.termQuery("isDeleted", IsDeletedEnum.NO.getKey())); queryBuilder.should(QueryBuilders.matchQuery(knowledgeTitleFieldName, param.getKeyword())); queryBuilder.should(QueryBuilders.matchQuery(knowledgeContentFieldName, param.getKeyword())); return new NativeSearchQueryBuilder() .withPageable(pageable) .withQuery(queryBuilder) .withHighlightFields(knowledgeTitleField, knowledgeContentField) .build(); }
自定義 ResultMapper
ResultMapper 是用於將 ES 文檔轉換成 Java 對象的映射類,因為 Spring Data Elasticsearch 默認的的映射類 DefaultResultMapper 不支持高亮,因此,我們需要自定義一個 ResultMapper 。
完整代碼如下:
@Slf4j @Component public class HighlightResultHelper implements SearchResultMapper { private static ObjectMapper objectMapper = new ObjectMapper(); static { objectMapper.setVisibility(JsonMethod.FIELD, JsonAutoDetect.Visibility.ANY); objectMapper.configure(SerializationConfig.Feature.INDENT_OUTPUT, true); objectMapper.configure(DeserializationConfig.Feature.FAIL_ON_UNKNOWN_PROPERTIES, false); } private static final Pattern SUB_FIELD_PATTERN = Pattern.compile("\\..*"); private static final String HIGHLIGHT_FIELD_SUFFIX = "Highlight"; @Override public <T> AggregatedPage<T> mapResults(SearchResponse response, Class<T> clazz, Pageable pageable) { long totalHits = response.getHits().getTotalHits(); List<T> list = Lists.newArrayList(); // 獲取搜索結果 SearchHits hits = response.getHits(); for (SearchHit searchHit : hits) { if (hits.getHits().length <= 0) { continue; } // 獲取高亮字段Map Map<String, HighlightField> highlightFields = searchHit.getHighlightFields(); // 通過jackson將json字符串轉化為對象 T item = jsonStrToObject(searchHit.getSourceAsString(), clazz); if (Objects.isNull(item)) { continue; } // 遍歷高亮字段Map,將高亮字段key轉化為原始字段名(title.pinyin -> title),拼接高亮文本並與原始字段名組裝為一個Map Map<String, String> highlightFieldMap = Maps.newHashMap(); for (Map.Entry<String, HighlightField> highlightField : highlightFields.entrySet()) { String key = SUB_FIELD_PATTERN.matcher(highlightField.getKey()).replaceAll(Constants.BLANK) + HIGHLIGHT_FIELD_SUFFIX; HighlightField value = highlightField.getValue(); Text[] fragments = value.getFragments(); StringBuilder sb = new StringBuilder(); for (Text text : fragments) { sb.append(text); } highlightFieldMap.put(key, sb.toString()); } // 通過反射將高亮文本賦值到原始字段對應的高亮字段中 try { Field[] fields = clazz.getDeclaredFields(); for (Field field : fields) { if (!field.getName().contains(HIGHLIGHT_FIELD_SUFFIX)) { continue; } field.setAccessible(true); if (highlightFieldMap.containsKey(field.getName())) { field.set(item, highlightFieldMap.get(field.getName())); } else { field.set(item, searchHit.getSource().get(field.getName().replace(HIGHLIGHT_FIELD_SUFFIX, Constants.BLANK))); } } } catch (Exception e) { e.printStackTrace(); } list.add(item); } return new AggregatedPageImpl<>(list, pageable, totalHits); } private <T> T jsonStrToObject(String json, Class<T> cls) { try { return objectMapper.readValue(json, cls); } catch (IOException e) { log.error("json cant be objectTranslate to object,{}", json); return null; } } }
獲取返回結果
① 返回對象增加高亮字段
@Data @Document(indexName = "knowledge", type = "knowledge") public class KnowledgeDO { ...省略其余部分... private String knowledgeTitleHighlight; private String knowledgeContentHighlight; }
② 業務實現類注入 HighlightResultHelper
@Autowired private HighlightResultHelper highlightResultHelper;
③ 獲取分頁結果由前文的 knowledgeRepository.search 改為 elasticsearchTemplate.queryForPage 實現,查詢時指定 highlightResultHelper
Page<KnowledgeDO> page = elasticsearchTemplate.queryForPage(searchQuery, KnowledgeDO.class, highlightResultHelper);
注:測試結果展示
[ { "id": 850, "knowledgeTitle": "小兒腺樣體肥大的孩子宜多吃什么?", "knowledgeTitleHighlight": "小兒腺樣體肥大的孩子宜多吃什么?", "knowledgeContent": "1、飲食中要停掉一切寒涼的食物,只吃性平、性溫的食物,如豬肉、雞肉、牛肉、鴿肉、鵪鶉、鱔魚、泥鰍、青菜、白菜、包菜、黃豆芽、土豆、韭菜、胡蘿卜(一周2次)等,夏天再增加四季豆、豇豆、黃瓜、西紅柿、藕、芹菜、花菜、各種菌類(菌類也偏涼適合夏天吃),水果吃新鮮時令的水果,5月份以后,新鮮水果上市了。可以吃草莓、桃子、葡萄、櫻桃,秋天可以吃蘋果、梨子、桔子等。\n2、每周吃2-3次紅燒鱔魚或喝鱔魚湯,鱔魚與其它魚類不同,補血、補腎、抗過敏的作用明顯,但不易上火,補而不燥。每周吃2次海蝦,一次10只左右,7歲左右的孩子可以一次半斤,海蝦就是雞尾蝦或對蝦,補腎陽的作用明顯,可以用來治療慢性扁桃體炎、慢性鼻炎、慢性咽炎,與河蝦的功效完全不一樣。", "knowledgeContentHighlight": "1、飲食中要停掉一切寒涼的食物,只吃性平、性溫的食物,如豬肉、雞肉、牛肉、鴿肉、鵪鶉、鱔魚、泥鰍、青菜、白菜、包菜、黃豆芽、土豆、韭菜、胡蘿卜(一周2次)等,夏天再增加四季豆、豇豆、黃瓜、<span style=\"color:#F56C6C\">西紅柿</span>、藕", "referenceCount": 0 } ]