这个EsTool类是根据自身业务写成的，因为业务暂时想法不难。
需要的主要是：1、精确查询 (单/多条件)
2、模糊查询 (单/多条件)
前提：Mapping全部设置"index":"not_analys",阻止分词器去进行分析字符串从而达到精确查询的效果。
public class EsTool {public String index ="gtbdc2";public TransportClient getClient(){try {//设置集群名称Settings settings = Settings.builder().put("cluster.name", "elasticsearch").build();//创建client@SuppressWarnings({ "resource", "unchecked" })TransportClient client = new PreBuiltTransportClient(settings).addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("0.0.0.0"), 9300));return client;} catch (Exception e) {// TODO: handle exceptione.printStackTrace();return null;}}/*** 根据文档名、字段名、字段值查询某一条记录的详细信息；query查询* @param type 文档名，相当于oracle中的表名，例如：ql_xz；* @param key 字段名，例如：bdcqzh* @param value 字段值，如：“”* @return List* @author Lixin*/public List getQueryDataBySingleField(String type,String key,String value){TransportClient client = getClient();QueryBuilder qb = QueryBuilders.termQuery(key, value);SearchResponse response = client.prepareSearch(index).setTypes(type).setQuery(qb) .setFrom(0).setSize(10000).setExplain(true) .execute() .actionGet();return responseToList(client,response);}/*** 多条件 文档名、字段名、字段值，查询某一条记录的详细信息* @param type 文档名，相当于oracle中的表名，例如：ql_xz* @param map 字段名：字段值 的map* @return List* @author Lixin*/public List getBoolDataByMuchField(String type,Map<String,String> map){TransportClient client = getClient();BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();for (String in : map.keySet()) {//map.keySet()返回的是所有key的值String str = map.get(in);//得到每个key多对用value的值boolQueryBuilder.must(QueryBuilders.termQuery(in,str));}SearchResponse response = client.prepareSearch(index).setTypes(type).setQuery(boolQueryBuilder).setFrom(0).setSize(10000).setExplain(true).execute().actionGet();return responseToList(client,response);}/*** 单条件 模糊查询* @param type 文档名，相当于oracle中的表名，例如：ql_xz* @param key 字段名，例如：bdcqzh* @param value 字段名模糊值：如 *123* ;?123*;?123?;*123?;* @return List* @author Lixin*/public List getDataByillegible(String type,String key,String value){TransportClient client = getClient();WildcardQueryBuilder wBuilder = QueryBuilders.wildcardQuery(key, value);SearchResponse response = client.prepareSearch(index).setTypes(type).setQuery(wBuilder) .setFrom(0).setSize(10000).setExplain(true) .execute() .actionGet();return responseToList(client,response);}/*** 多条件 模糊查询* @param type type 文档名，相当于oracle中的表名，例如：ql_xz* @param map 包含key:value 模糊值键值对* @return List* @author Lixin*/public List getDataByMuchillegible(String type,Map<String,String> map){TransportClient client = getClient();BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();for (String in : map.keySet()) {//map.keySet()返回的是所有key的值String str = map.get(in);//得到每个key多对用value的值boolQueryBuilder.must(QueryBuilders.wildcardQuery(in,str));}SearchResponse response = client.prepareSearch(index).setTypes(type).setQuery(boolQueryBuilder) .setFrom(0).setSize(10000).setExplain(true) .execute() .actionGet();return responseToList(client,response);}/*** 将查询后获得的response转成list* @param client* @param response* @return*/public List responseToList(TransportClient client,SearchResponse response){SearchHits hits = response.getHits();List<Map<String, Object>> list = new ArrayList<Map<String,Object>>();for (int i = 0; i < hits.getHits().length; i++) {Map<String, Object> map = hits.getAt(i).getSource();list.add(map);}client.close();return list;}}
