java操作elasticsearch实现前缀查询、wildcard、fuzzy模糊查询、ids查询

1、前缀查询（prefix）

//prefix前缀查询
        @Testpublic void test15() throws UnknownHostException {//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 = new PreBuiltTransportClient(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<String, Object> 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() throws UnknownHostException {//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 = new PreBuiltTransportClient(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<String, Object> 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() throws UnknownHostException {//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 = new PreBuiltTransportClient(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<String, Object> 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() throws UnknownHostException {//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 = new PreBuiltTransportClient(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<String, Object> 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() throws UnknownHostException {//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 = new PreBuiltTransportClient(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<String, Object> 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/

技术在于交流！

转载于:https://www.cnblogs.com/chenyuanbo/p/10296845.html

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