Elasticsearch 5.1.1搜索高亮及Java API实现

5.1.1的搜索高亮和2.X有所变化，但是变化不大。下面分四步来介绍:创建索引(设置mapping/IK分词)、索引文档、REST API的搜索高亮、JAVA API的搜索高亮。 

注:从这篇博客开始，采用简写的代码风格，也就是Sence插件或者kibana的dev tools中采用的风格。(温馨提示:安装kibana 5.1.1,在dev tools中直接可以使用简单格式命令。)

一、创建索引

文档结构为blog/article/id。先创建一个空的index:

PUT blog

1

创建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
}
}
}
}

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二、索引测试文档

加入三条文档到blog索引。 

文档1：

POST blog/article/1
{
"title":"java编程思想",
"content":"《Java编程思想》这本书赢得了全球程序员的广泛赞誉"
}

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文档2：

POST blog/article/2
{
"title":"手把手教你使用Git",
"content":"这是一个非常容易上手的GIt详细教程"
}

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文档3：

POST blog/article/3
{
"title":"java从入门到精通",
"content":"《java从入门到精通》非常适合java初学"
}

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三、REST高亮API

我们查询title中含有java的文档，并用自定义高亮片段标记出来。

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

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查询结果:

"total": 2,
"max_score": 2.3014567,
"hits": [
{
"_index": "blog",
"_type": "article",
"_id": "3",
"_score": 2.3014567,
"_source": {
"title": "java从入门到精通",
"content": "《java从入门到精通》非常适合java初学"
},
"highlight": {
"title": [
"<strong>java</strong>从入门到精通"
]
}
},
{
"_index": "blog",
"_type": "article",
"_id": "1",
"_score": 2.025282,
"_source": {
"title": "java编程思想",
"content": "《Java编程思想》这本书赢得了全球程序员的广泛赞誉"
},
"highlight": {
"title": [
"<strong>java</strong>编程思想"
]
}
}
]
}
}

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四、搜索高亮的java api实现

jar包导入请参考前面的的一篇博客Elasticsearch 5.X下JAVA API使用指南 

写一个测试类:

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
// 设置集群名称
Settings settings = Settings.builder()
.put("cluster.name", "elasticsearch").build();
// 创建client
TransportClient client = new PreBuiltTransportClient(settings)
.addTransportAddress(new InetSocketTransportAddress(
InetAddress.getByName("127.0.0.1"), 9300));
QueryBuilder matchQuery = QueryBuilders.matchQuery("title", "编程");
HighlightBuilder hiBuilder=new HighlightBuilder();
hiBuilder.preTags("<h2>");
hiBuilder.postTags("</h2>");
hiBuilder.field("title");
// 搜索数据
SearchResponse response = client.prepareSearch("blog")
.setQuery(matchQuery)
.highlighter(hiBuilder)
.execute().actionGet();
//获取查询结果集
SearchHits searchHits = response.getHits();
System.out.println("共搜到:"+searchHits.getTotalHits()+"条结果!");
//遍历结果
for(SearchHit hit:searchHits){
System.out.println("String方式打印文档搜索内容:");
System.out.println(hit.getSourceAsString());
System.out.println("Map方式打印高亮内容");
System.out.println(hit.getHighlightFields());

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

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运行结果:

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条结果!
String方式打印文档搜索内容:
{
"title":"java编程思想",
"content":"《Java编程思想》这本书赢得了全球程序员的广泛赞誉"
}

Map方式打印高亮内容
{title=[title], fragments[[java<h2>编程</h2>思想]]}
遍历高亮集合，打印高亮片段:
java<em>编程</h2>思想

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截图如下: