HighlightBuilder高亮显示

ES上存在如下数据

如果想查询interest中含有basketball的文档，并对basketball进行高亮，ES查询语句如下

GET my_index/my_type/_search
{"query": {"match": {"interest": "basketball"}}, "highlight":{"fields": {"interest": {}}},"size": 10
}

从搜索结果中可以看出basketball前后加上了<em></em>,对basketball进行了高亮

下面用JAVA代码实现搜索结果的高亮

1.创建带有高亮的搜索方法，实现高亮可以使用HighlightBuilder

public class ElasticsearchUtils {private Client client;public ElasticsearchUtils(String clusterName, String ipAddress) {Settings settings = ImmutableSettings.settingsBuilder()//设置集群名称 .put("cluster.name", clusterName).put("client.transport.ignore_cluster_name", false).put("node.client", true).put("client.transport.sniff", true).build();client = new TransportClient(settings).addTransportAddress(new InetSocketTransportAddress(ipAddress,9300));}/*** 执行搜索(带高亮)* @param indexname 索引名称* @param type 索引类型* @param queryBuilder 查询条件* @param highligtFiled 高亮字段* @return*/public SearchResponse searcherHighlight(String indexName, String typeName,QueryBuilder queryBuilder, String highligtFiled) {SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();//构造搜索对象searchSourceBuilder.query(queryBuilder);//设置查询条件//设置高亮String preTags = "<strong>";String postTags = "</strong>";HighlightBuilder highlightBuilder = new HighlightBuilder();highlightBuilder.preTags(preTags);//设置前缀highlightBuilder.postTags(postTags);//设置后缀highlightBuilder.field(highligtFiled);//设置高亮字段searchSourceBuilder.highlight(highlightBuilder);//设置高亮信息SearchRequest searchRequest = new SearchRequest(indexName);//创建查询请求对象searchRequest.types(typeName);//设置typesearchRequest.extraSource(searchSourceBuilder);//设置searchSourceBuilderSearchResponse searchResponse = client.search(searchRequest).actionGet();//执行查询return searchResponse;}
}

2.创建测试类

public class HighlightTest {public static void main(String[] args) {//创建对象，设置集群名称和IP地址ElasticsearchUtils es = new ElasticsearchUtils("im_shanmenglu","localhost");String indexName = "my_index";//索引名称String typeName = "my_type";//类型名称String highligtFiled = "interest";//设置高亮的字段，此处查询的是interest中含有basketball的文档，因此高亮字段设为interestQueryBuilder queryBuilder = QueryBuilders.matchQuery("interest","basketball");//查询interest中含有basketball的文档SearchResponse searchResponse = es.searcherHighlight(indexName,typeName, queryBuilder, highligtFiled);SearchHits hits = searchResponse.getHits();SearchHit[] searchHits = hits.getHits();for (SearchHit searchHit : searchHits) {Map<String, HighlightField> map = searchHit.getHighlightFields();System.out.println(map.toString());}}
}

searchResponse的结果如下，可以看到highlight中的basketball前后已经加上了设置的前缀和后缀

{"took" : 1,"timed_out" : false,"_shards" : {"total" : 5,"successful" : 5,"failed" : 0},"hits" : {"total" : 2,"max_score" : 0.19178301,"hits" : [ {"_index" : "my_index","_type" : "my_type","_id" : "1","_score" : 0.19178301,"_source":{ "name": "a","interest": "football basketball"
}
,"highlight" : {"interest" : [ "football <strong>basketball</strong>" ]}}, {"_index" : "my_index","_type" : "my_type","_id" : "2","_score" : 0.19178301,"_source":{ "name": "b","interest": "music basketball"
}
,"highlight" : {"interest" : [ "music <strong>basketball</strong>" ]}} ]}
}

控制台输出结果如下：

{interest=[interest], fragments[[football <strong>basketball</strong>]]}
{interest=[interest], fragments[[music <strong>basketball</strong>]]}

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