elasticsearch JAVA客户端操作--搜索的过滤、分组高亮

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elasticsearch JAVA客户端操作---搜索的过滤、分组高亮，elasticsearchjava

elasticsearch        提供的API比较多，看名字差不多可以明白什么意思

源码地址：源码下载点击

public void search01() {
		QueryBuilder query = QueryBuilders.queryString("9");

		// 设置搜索的内容和现实的大小
		SearchResponse res = client.prepareSearch("test").setQuery(query)
				.setFrom(0).setSize(60).execute().actionGet();
		SearchHits shs = res.getHits();
		System.out.println("总共有数据：" + shs.getHits().length);
		for (SearchHit it : shs) {
			System.out.println(it.getSource());
		}
	}

	// 分组fact类似于sql的group
	public void search02() {
		// 定义一个分组并为其命名
		TermsFacetBuilder facetBuilder = FacetBuilders.termsFacet("groupBysex");
		// 按照哪个字段进行分组
		facetBuilder.field("sex").size(1);
		// 过滤器匹配所有文件
		facetBuilder.facetFilter(FilterBuilders.matchAllFilter());

		SearchResponse res = client.prepareSearch("test2").setTypes("test02")
				.addFacet(facetBuilder).execute().actionGet();

		// 获取搜索结果中的分组
		Facets facet = res.getFacets();
		// 多个分组是以map的形式存储
		TermsFacet fac = (TermsFacet) facet.getFacets().get("groupBysex");
		for (TermsFacet.Entry tf : fac.entries()) {
			System.out.println(tf.getCount() + "======" + tf.getTerm());
		}
	}

	// QUERY
	public void search03() {
		// 按照字段进行索引，只要内容含有即可不用全部符合
		QueryBuilder queryBuilder = QueryBuilders.fieldQuery("name",
				"李四1后面有内容也可以");
		
		//整个 数据内容中只要 有 这个字即可
		QueryBuilder qb =QueryBuilders.queryString("四");
        
		//组合查询 name为 张三，sex为boy的记录 must表示必须有，mustNot表示不包含，should表示可以存在
		QueryBuilder queryBuilder2 = QueryBuilders.fieldQuery("name",
				"张三");
		QueryBuilder queryBuilder3 = QueryBuilders.fieldQuery("sex",
				"boy");
		QueryBuilder qbmust = QueryBuilders.boolQuery().must(queryBuilder2).should(queryBuilder3);
		
		//过滤查询
		QueryBuilder qb3 = QueryBuilders.filteredQuery(
				queryBuilder2,
                FilterBuilders.prefixFilter("sex", "bo")
                );
		
		SearchResponse res = client.prepareSearch("test").setTypes("test01")
				.setSearchType(SearchType.DEFAULT)
				.setQuery(qb3).execute().actionGet();
		SearchHits shs = res.getHits();
		System.out.println("共查到数据：" + shs.getHits().length);
		for (SearchHit it : shs) {
			System.out.println(it.getSource());
		}
	}

	// 高亮显示
		public void search04() {
			//前缀过滤器 汉字不好用
			FilterBuilder fb =  FilterBuilders.prefixFilter("sex", "bo");
			//范围过滤
			FilterBuilder fb2 =   FilterBuilders.rangeFilter("id").from(1).to(10);  
			//组合过滤
			FilterBuilder fb3 =  FilterBuilders.andFilter(  
		                FilterBuilders.rangeFilter("id").from(1).to(10),  
		                FilterBuilders.prefixFilter("sex", "bo")  
		        ).cache(true);//默认false  
			SearchResponse res = client.prepareSearch("test").setTypes("test01")
					.setSearchType(SearchType.DFS_QUERY_THEN_FETCH)
					.setFilter(fb3)
					.execute().actionGet();

			SearchHits shs = res.hits();
			System.out.println("总共有数据：" + shs.getHits().length);
			for (SearchHit it : shs) {
				System.out.println(it.getSource());

			}
		}
	
	
	
	// 高亮显示
	public void search05() {
		QueryBuilder qb1 = QueryBuilders.termQuery("name", "张三_4");
		// FilterBuilder filter =FilterBuilders.prefixFilter("name", "张三");
		SearchResponse res = client.prepareSearch("test4").setTypes("test04")
				.setSearchType(SearchType.DFS_QUERY_THEN_FETCH)
				.setQuery(QueryBuilders.fieldQuery("id", "1"))
				.addHighlightedField("id").setHighlighterPreTags("<spand>")
				.setHighlighterPostTags("</bod>").execute().actionGet();

		SearchHits shs = res.hits();
		System.out.println("总共有数据：" + shs.getHits().length);
		for (SearchHit it : shs) {
			System.out.println(it.getSource());
			// 获取对应的高亮域
			Map<String, HighlightField> result = it.highlightFields();
			// 从设定的高亮域中取得指定域
			HighlightField titleField = result.get("id");
			// 取得定义的高亮标签
			String[] titleTexts = titleField.fragments();
			// 为title串值增加自定义的高亮标签
			String title = "";
			for (String 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
			// product.setTitle(title);
			// 打印高亮标签追加完成后的实体对象
			System.out.println(title);

		}
	}

elasticsearch JAVA客户端操作--搜索的过滤、分组高亮

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原文地址：http://www.cnblogs.com/bmaker/p/5463933.html