其实就要用到我们之前《 Elasticsearch 之(21)前缀搜索、通配符搜索、正则搜索、推荐搜索 和 模糊搜索》中讲解的语法
package com.es.app; import java.net.InetAddress; import org.elasticsearch.action.search.SearchResponse; import org.elasticsearch.client.transport.TransportClient; import org.elasticsearch.common.settings.Settings; import org.elasticsearch.common.transport.InetSocketTransportAddress; import org.elasticsearch.index.query.QueryBuilders; import org.elasticsearch.search.SearchHit; import org.elasticsearch.transport.client.PreBuiltTransportClient; public class FullTextSearchByBrandApp { @SuppressWarnings({ "resource", "unchecked" }) public static void main(String[] args) throws Exception { Settings settings = Settings.builder() .put("cluster.name", "elasticsearch") .build(); TransportClient client = new PreBuiltTransportClient(settings) .addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("localhost"), 9300)); SearchResponse searchResponse = client.prepareSearch("car_shop") .setTypes("cars") .setQuery(QueryBuilders.matchQuery("brand", "宝马")) .get(); for(SearchHit searchHit : searchResponse.getHits().getHits()) { System.out.println(searchHit.getSourceAsString()); } System.out.println("===================================================="); searchResponse = client.prepareSearch("car_shop") .setTypes("cars") .setQuery(QueryBuilders.multiMatchQuery("宝马", "brand", "name")) .get(); for(SearchHit searchHit : searchResponse.getHits().getHits()) { System.out.println(searchHit.getSourceAsString()); } System.out.println("===================================================="); searchResponse = client.prepareSearch("car_shop") .setTypes("cars") .setQuery(QueryBuilders.termQuery("name.raw", "宝马318")) .get(); for(SearchHit searchHit : searchResponse.getHits().getHits()) { System.out.println(searchHit.getSourceAsString()); } System.out.println("===================================================="); searchResponse = client.prepareSearch("car_shop") .setTypes("cars") .setQuery(QueryBuilders.prefixQuery("name", "宝")) .get(); for(SearchHit searchHit : searchResponse.getHits().getHits()) { System.out.println(searchHit.getSourceAsString()); } client.close(); } }
{ "brand": "华晨宝马", "name": "宝马318", "price": 270000, "produce_date": "2017-01-20" } { "brand": "宝马", "name": "宝马320", "price": 320000, "produce_date": "2017-01-01", "sale_price": 280000, "sale_date": "2017-01-25" } { "brand": "宝马", "name": "宝马310", "price": 320000, "produce_date": "2017-01-01", "sale_price": 280000, "sale_date": "2017-01-25" } { "brand": "宝马", "name": "宝马330", "price": 320000, "produce_date": "2017-01-01", "sale_price": 280000, "sale_date": "2017-01-25" } ==================================================== { "brand": "华晨宝马", "name": "宝马318", "price": 270000, "produce_date": "2017-01-20" } { "brand": "宝马", "name": "宝马320", "price": 320000, "produce_date": "2017-01-01", "sale_price": 280000, "sale_date": "2017-01-25" } { "brand": "宝马", "name": "宝马310", "price": 320000, "produce_date": "2017-01-01", "sale_price": 280000, "sale_date": "2017-01-25" } { "brand": "宝马", "name": "宝马330", "price": 320000, "produce_date": "2017-01-01", "sale_price": 280000, "sale_date": "2017-01-25" } ==================================================== { "brand": "华晨宝马", "name": "宝马318", "price": 270000, "produce_date": "2017-01-20" } ==================================================== { "brand": "华晨宝马", "name": "宝马318", "price": 270000, "produce_date": "2017-01-20" } { "brand": "宝马", "name": "宝马320", "price": 320000, "produce_date": "2017-01-01", "sale_price": 280000, "sale_date": "2017-01-25" } { "brand": "宝马", "name": "宝马310", "price": 320000, "produce_date": "2017-01-01", "sale_price": 280000, "sale_date": "2017-01-25" } { "brand": "宝马", "name": "宝马330", "price": 320000, "produce_date": "2017-01-01", "sale_price": 280000, "sale_date": "2017-01-25" }