5.1.1的搜尋高亮和2.X有所變化，但是變化不大。下面分四步來介紹:建立索引(設定mapping/IK分詞)、索引文件、REST API的搜尋高亮、JAVA API的搜尋高亮。
注:從這篇部落格開始，採用簡寫的程式碼風格，也就是Sence外掛或者kibana的dev tools中採用的風格。(溫馨提示:安裝kibana 5.1.1,在dev tools中直接可以使用簡單格式命令。)

一、建立索引

文件結構為blog/article/id。先建立一個空的index:

PUT blog

建立mapping:

POST blog/article/_mapping
{
  "article"
 
: {

    "properties": {
      "title": {
        "type": "text",
        "analyzer": "ik_max_word",
        "search_analyzer": "ik_max_word",
        "boost": 8
      },
      "content": {
        "type": "text",
        "analyzer": "ik_max_word",
        "search_analyzer": "ik_max_word",
        "boost"
 
: 4
      }
    }
  }
}

二、索引測試文件

加入三條文件到blog索引。
文件1：

POST blog/article/1
{
  "title":"java程式設計思想",
  "content":"《Java程式設計思想》這本書贏得了全球程式設計師的廣泛讚譽"
}

文件2：

POST blog/article/2
{
  "title":"手把手教你使用Git",
  "content":"這是一個非常容易上手的GIt詳細教程"
}

文件3：

POST blog/article/3
{
  "title":"java從入門到精通",
  "content"
 
:"《java從入門到精通》非常適合java初學"
}

三、REST高亮API

我們查詢title中含有java的文件，並用自定義高亮片段標記出來。

POST blog/_search
{
  "query": {
    "match": {
      "title": "java"
    }
  },
  "highlight": {
    "fields": {
      "title": {
        "pre_tags": "<strong>",
        "post_tags": "</strong>"
      }
    }
  }
}

查詢結果:

    "total": 2,
    "max_score": 2.3014567,
    "hits": [
      {
        "_index": "blog",
        "_type": "article",
        "_id": "3",
        "_score": 2.3014567,
        "_source": {
          "title": "java從入門到精通",
          "content": "《java從入門到精通》非常適合java初學"
        },
        "highlight": {
          "title": [
            "<strong>java</strong>從入門到精通"
          ]
        }
      },
      {
        "_index": "blog",
        "_type": "article",
        "_id": "1",
        "_score": 2.025282,
        "_source": {
          "title": "java程式設計思想",
          "content": "《Java程式設計思想》這本書贏得了全球程式設計師的廣泛讚譽"
        },
        "highlight": {
          "title": [
            "<strong>java</strong>程式設計思想"
          ]
        }
      }
    ]
  }
}

四、搜尋高亮的java api實現

package esjavapia5;
import java.net.InetAddress;
import java.net.UnknownHostException;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.text.Text;
import org.elasticsearch.common.transport.InetSocketTransportAddress;
import org.elasticsearch.index.query.QueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.transport.client.PreBuiltTransportClient;
public class Es5Highlight {
    public static void main(String[] args) throws UnknownHostException {
        // TODO Auto-generated method stub
        // 設定叢集名稱
        Settings settings = Settings.builder()
                .put("cluster.name", "elasticsearch").build();
        // 建立client
        TransportClient client = new PreBuiltTransportClient(settings)
                .addTransportAddress(new InetSocketTransportAddress(
                        InetAddress.getByName("127.0.0.1"), 9300));
        QueryBuilder matchQuery = QueryBuilders.matchQuery("title", "程式設計");
        HighlightBuilder hiBuilder=new HighlightBuilder();
        hiBuilder.preTags("<h2>");
        hiBuilder.postTags("</h2>");
        hiBuilder.field("title");
        // 搜尋資料
        SearchResponse response = client.prepareSearch("blog")
                .setQuery(matchQuery)
                .highlighter(hiBuilder)
                .execute().actionGet();
        //獲取查詢結果集
        SearchHits searchHits = response.getHits();
        System.out.println("共搜到:"+searchHits.getTotalHits()+"條結果!");
        //遍歷結果
        for(SearchHit hit:searchHits){
            System.out.println("String方式列印文件搜尋內容:");
            System.out.println(hit.getSourceAsString());
            System.out.println("Map方式列印高亮內容");
            System.out.println(hit.getHighlightFields());

            System.out.println("遍歷高亮集合，列印高亮片段:");
            Text[] text = hit.getHighlightFields().get("title").getFragments();
            for (Text str : text) {
                System.out.println(str.string());
            }
        }
    }
}

執行結果:

no modules loaded
loaded plugin [org.elasticsearch.index.reindex.ReindexPlugin]
loaded plugin [org.elasticsearch.percolator.PercolatorPlugin]
loaded plugin [org.elasticsearch.script.mustache.MustachePlugin]
loaded plugin [org.elasticsearch.transport.Netty3Plugin]
loaded plugin [org.elasticsearch.transport.Netty4Plugin]
共搜到:1條結果!
String方式列印文件搜尋內容:
{
  "title":"java程式設計思想",
  "content":"《Java程式設計思想》這本書贏得了全球程式設計師的廣泛讚譽"
}

Map方式列印高亮內容
{title=[title], fragments[[java<h2>程式設計</h2>思想]]}
遍歷高亮集合，列印高亮片段:
java<em>程式設計</h2>思想

截圖如下: