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package com.qlyd.searchhelper;

import java.util.Map;

import net.sf.json.JSONObject;

import org.elasticsearch.action.search.SearchRequestBuilder;

import org.elasticsearch.action.search.SearchResponse;

import org.elasticsearch.action.search.SearchType;

import org.elasticsearch.client.Client;

import org.elasticsearch.common.text.Text;

import org.elasticsearch.index.query.QueryBuilders;

import org.elasticsearch.search.SearchHit;

import org.elasticsearch.search.SearchHits;

import org.elasticsearch.search.highlight.HighlightField;

import com.qlyd.business.newsinfo.po.NewsInfo;

import com.qlyd.common.QlydConstants;

import com.qlyd.utils.ESTools;

import com.qlyd.utils.JsonUtils;

/ * * * @类编号: * @类名称:ElasticSearchHandler * @内容摘要: //搜索控制类 * @author:鹿伟伟 * @创建日期:2016年3月22日 下午3:26:52 * @修改人: * @修改日期: * @修改描述:简单描述修改的内容 * @version 1.0.0 * */

public class ElasticSearchHandler {

private Client client = ESTools.getClient();

public void searcher(String key, String indexId, String type) {

try {

// 创建查询索引,参数productindex表示要查询的索引库为productindex

SearchRequestBuilder searchRequestBuilder = client

.prepareSearch(indexId);

// 设置查询索引类型,setTypes("productType1", "productType2","productType3");

// 用来设定在多个类型中搜索

searchRequestBuilder.setTypes(type);

// 设置查询类型 1.SearchType.DFS_QUERY_THEN_FETCH = 精确查询 2.SearchType.SCAN

// = 扫描查询,无序

searchRequestBuilder.setSearchType(SearchType.DFS_QUERY_THEN_FETCH);

// 设置查询关键词

searchRequestBuilder

.setQuery(QueryBuilders.termQuery("title", key));

// // 查询过滤器过滤价格在4000-5000内

// 这里范围为[4000,5000]区间闭包含,搜索结果包含价格为4000和价格为5000的数据

// searchRequestBuilder.setFilter(FilterBuilders.rangeFilter("price")

// .from(4000).to(5000));

//

// // 分页应用

// searchRequestBuilder.setFrom(0).setSize(3);

// 设置是否按查询匹配度排序

searchRequestBuilder.setExplain(true);

// 设置高亮显示

searchRequestBuilder.addHighlightedField("title");

searchRequestBuilder

.setHighlighterPreTags("");

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searchRequestBuilder.setHighlighterPostTags("");

// 执行搜索,返回搜索响应信息

SearchResponse response = searchRequestBuilder.execute()

.actionGet();

// System.out.println(response.toString());

// 获取搜索的文档结果

SearchHits searchHits = response.getHits();

SearchHit[] hits = searchHits.getHits();

// ObjectMapper mapper = new ObjectMapper();

for (int i = 0; i < hits.length; i++) {

SearchHit hit = hits[i];

// 将文档中的每一个对象转换json串值

String json = hit.getSourceAsString();

// 将json串值转换成对应的实体对象

// Product product = mapper.readValue(json, Product.class);

NewsInfo newsInfo = JsonUtils

.readToObject(json, NewsInfo.class);

// 获取对应的高亮域

Map result = hit.highlightFields();

// 从设定的高亮域中取得指定域

HighlightField titleField = result.get("title");

// 取得定义的高亮标签

Text[] titleTexts = titleField.fragments();

System.out.println(titleTexts.toString());

// 为title串值增加自定义的高亮标签

String title = "";

for (Text text : titleTexts) {

title += text;

}

// 将追加了高亮标签的串值重新填充到对应的对象

newsInfo.setTitle(title);

// 打印高亮标签追加完成后的实体对象

System.out.println(newsInfo);

}

System.out.println("search success ..");

} catch (Exception e) {

// TODO: handle exception

}

}

public static void main(String[] args) {

ElasticSearchHandler esHandler = new ElasticSearchHandler();

System.out.println("++++++高亮查询+++++++");

esHandler.searcher("齐鲁壹点", QlydConstants.INDEX, QlydConstants.TYPE);

}

}