1、前缀查询(prefix)

//prefix前缀查询

@Testpublic void test15() throwsUnknownHostException {//1、指定es集群 cluster.name 是固定的key值，my-application是ES集群的名称

Settings settings = Settings.builder().put("cluster.name", "my-application").build();//2.创建访问ES服务器的客户端

TransportClient client = newPreBuiltTransportClient(settings)//获取es主机中节点的ip地址及端口号(以下是单个节点案例)

.addTransportAddress(new TransportAddress(InetAddress.getByName("192.168.1.94"), 9300));//prefixQuery 第一个参数为字段名，后面是以zhao开头的条件进行查询

QueryBuilder builder = QueryBuilders.prefixQuery("name", "zhao");

SearchResponse response= client.prepareSearch("lib3").setQuery(builder).get();

SearchHits hits=response.getHits();for(SearchHit hit:hits) {

System.out.println(hit.getSourceAsString());//将获取的值转换成map的形式

Map map =hit.getSourceAsMap();for(String key:map.keySet()) {

System.out.println(key+" key对应的值为：" +map.get(key));

}

}

}

2、wildcard模糊查询

//wildcard模糊查询

@Testpublic void test16() throwsUnknownHostException {//1、指定es集群 cluster.name 是固定的key值，my-application是ES集群的名称

Settings settings = Settings.builder().put("cluster.name", "my-application").build();//2.创建访问ES服务器的客户端

TransportClient client = newPreBuiltTransportClient(settings)//获取es主机中节点的ip地址及端口号(以下是单个节点案例)

.addTransportAddress(new TransportAddress(InetAddress.getByName("192.168.1.94"), 9300));//wildcardQuery模糊查询

QueryBuilder builder = QueryBuilders.wildcardQuery("name", "zhao*");

SearchResponse response= client.prepareSearch("lib3").setQuery(builder).get();

SearchHits hits=response.getHits();for(SearchHit hit:hits) {

System.out.println(hit.getSourceAsString());//将获取的值转换成map的形式

Map map =hit.getSourceAsMap();for(String key:map.keySet()) {

System.out.println(key+" key对应的值为：" +map.get(key));

}

}

}

3、fuzzy模糊查询

说明：fuzzy才是实现真正的模糊查询，我们输入的字符可以是个大概，他可以根据我们输入的文字大概进行匹配查询，具体可看文章中的解释和代码，注意与wildcard模糊查询的区别

//fuzzy模糊查询(输入的值输入个大概也可以查询出来)

@Testpublic void test17() throwsUnknownHostException {//1、指定es集群 cluster.name 是固定的key值，my-application是ES集群的名称

Settings settings = Settings.builder().put("cluster.name", "my-application").build();//2.创建访问ES服务器的客户端

TransportClient client = newPreBuiltTransportClient(settings)//获取es主机中节点的ip地址及端口号(以下是单个节点案例)

.addTransportAddress(new TransportAddress(InetAddress.getByName("192.168.1.94"), 9300));//fuzzyQuery模糊查询

QueryBuilder builder = QueryBuilders.fuzzyQuery("name", "chagge");

SearchResponse response= client.prepareSearch("lib3").setQuery(builder).get();

SearchHits hits=response.getHits();for(SearchHit hit:hits) {

System.out.println(hit.getSourceAsString());//将获取的值转换成map的形式

Map map =hit.getSourceAsMap();for(String key:map.keySet()) {

System.out.println(key+" key对应的值为：" +map.get(key));

}

}

}//typeQuery类型查询

@Testpublic void test18() throwsUnknownHostException {//1、指定es集群 cluster.name 是固定的key值，my-application是ES集群的名称

Settings settings = Settings.builder().put("cluster.name", "my-application").build();//2.创建访问ES服务器的客户端

TransportClient client = newPreBuiltTransportClient(settings)//获取es主机中节点的ip地址及端口号(以下是单个节点案例)

.addTransportAddress(new TransportAddress(InetAddress.getByName("192.168.1.94"), 9300));//typeQuery类型查询

QueryBuilder builder = QueryBuilders.typeQuery("blog");

SearchResponse response= client.prepareSearch("index1").setQuery(builder).get();

SearchHits hits=response.getHits();for(SearchHit hit:hits) {

System.out.println(hit.getSourceAsString());//将获取的值转换成map的形式

Map map =hit.getSourceAsMap();for(String key:map.keySet()) {

System.out.println(key+" key对应的值为：" +map.get(key));

}

}

}

4、ids查询

说明：根据多个id值进行查询

//idsQuery id查询(可以同时根据多个id进行查询)

@Testpublic void test19() throwsUnknownHostException {//1、指定es集群 cluster.name 是固定的key值，my-application是ES集群的名称

Settings settings = Settings.builder().put("cluster.name", "my-application").build();//2.创建访问ES服务器的客户端

TransportClient client = newPreBuiltTransportClient(settings)//获取es主机中节点的ip地址及端口号(以下是单个节点案例)

.addTransportAddress(new TransportAddress(InetAddress.getByName("192.168.1.94"), 9300));//idsQuery id查询

QueryBuilder builder = QueryBuilders.idsQuery("1","2");

SearchResponse response= client.prepareSearch("lib3").setQuery(builder).get();

SearchHits hits=response.getHits();for(SearchHit hit:hits) {

System.out.println(hit.getSourceAsString());//将获取的值转换成map的形式

Map map =hit.getSourceAsMap();for(String key:map.keySet()) {

System.out.println(key+" key对应的值为：" +map.get(key));

}

}

}

下一篇博客本人将书写java操作elasticsearch实现聚合查询。对后期博客感兴趣的朋友可以关注交流，转发请说明出处，本人的博客地址为：https://www.cnblogs.com/chenyuanbo/

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