一、前言
在实际使用中搜索结果中的关键词前端通常会以特殊形式展示,比如标记为红色使人一目了然。我们可以通过 ES 提供的高亮功能实现此效果。
二、代码实现
前文查询是通过一个继承 ElasticsearchRepository 的接口实现的,但是如果要实现高亮,这种方式就满足不了了,这里我们需要通过 ElasticsearchTemplate 来完成。
2.1 注入 ElasticsearchTemplate
① ElasticsearchTemplate 类简介
public class ElasticsearchTemplate implements ElasticsearchOperations, ApplicationContextAware {
...省略其余部分...
}
从上述源码中可以看到 ElasticsearchTemplate 实现了 ApplicationContextAware 接口,表明这个类是被 Spring 管理的,可以直接注入使用。
② 业务实现类注入 ElasticsearchTemplate
@Autowired
private ElasticsearchTemplate elasticsearchTemplate;
2.2 查询对象指定高亮字段
在构建查询对象时需要指定高亮字段,通过 withHighlightFields 方法设置。
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();
}
2.3 自定义 ResultMapper
ResultMapper 是用于将 ES 文档转换成 Java 对象的映射类,因为 Spring Data Elasticsearch 默认的的映射类 DefaultResultMapper 不支持高亮,因此,我们需要自定义一个 ResultMapper 。
完整代码如下:
@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();
// 获取搜索结果
SearchHits hits = response.getHits();
for (SearchHit searchHit : hits) {
if (hits.getHits().length <= 0) {
continue;
}
// 获取高亮字段Map
Map<String, HighlightField> highlightFields = searchHit.getHighlightFields();
// 通过jackson将json字符串转化为对象
T item = jsonStrToObject(searchHit.getSourceAsString(), clazz);
if (Objects.isNull(item)) {
continue;
}
// 遍历高亮字段Map,将高亮字段key转化为原始字段名(title.pinyin -> title),拼接高亮文本并与原始字段名组装为一个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());
}
// 通过反射将高亮文本赋值到原始字段对应的高亮字段中
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;
}
}
}
2.4 获取返回结果
① 返回对象增加高亮字段
@Data
@Document(indexName = "knowledge", type = "knowledge")
public class KnowledgeDO {
...省略其余部分...
private String knowledgeTitleHighlight;
private String knowledgeContentHighlight;
}
② 业务实现类注入 HighlightResultHelper
@Autowired
private HighlightResultHelper highlightResultHelper;
③ 获取分页结果由前文的 knowledgeRepository.search 改为 elasticsearchTemplate.queryForPage 实现,查询时指定 highlightResultHelper
Page<KnowledgeDO> page = elasticsearchTemplate.queryForPage(searchQuery, KnowledgeDO.class, highlightResultHelper);
注:测试结果展示
[
{
"id": 850,
"knowledgeTitle": "小儿腺样体肥大的孩子宜多吃什么?",
"knowledgeTitleHighlight": "小儿腺样体肥大的孩子宜多吃什么?",
"knowledgeContent": "1、饮食中要停掉一切寒凉的食物,只吃性平、性温的食物,如猪肉、鸡肉、牛肉、鸽肉、鹌鹑、鳝鱼、泥鳅、青菜、白菜、包菜、黄豆芽、土豆、韭菜、胡萝卜(一周2次)等,夏天再增加四季豆、豇豆、黄瓜、西红柿、藕、芹菜、花菜、各种菌类(菌类也偏凉适合夏天吃),水果吃新鲜时令的水果,5月份以后,新鲜水果上市了。可以吃草莓、桃子、葡萄、樱桃,秋天可以吃苹果、梨子、桔子等。\n2、每周吃2-3次红烧鳝鱼或喝鳝鱼汤,鳝鱼与其它鱼类不同,补血、补肾、抗过敏的作用明显,但不易上火,补而不燥。每周吃2次海虾,一次10只左右,7岁左右的孩子可以一次半斤,海虾就是鸡尾虾或对虾,补肾阳的作用明显,可以用来治疗慢性扁桃体炎、慢性鼻炎、慢性咽炎,与河虾的功效完全不一样。",
"knowledgeContentHighlight": "1、饮食中要停掉一切寒凉的食物,只吃性平、性温的食物,如猪肉、鸡肉、牛肉、鸽肉、鹌鹑、鳝鱼、泥鳅、青菜、白菜、包菜、黄豆芽、土豆、韭菜、胡萝卜(一周2次)等,夏天再增加四季豆、豇豆、黄瓜、<span style=\"color:#F56C6C\">西红柿</span>、藕",
"referenceCount": 0
}
]
三、结语
至此搜索结果高亮已经实现完毕,下一篇将介绍相关度排序优化。