1、前缀查询（prefix）
//prefix前缀查询
@Test
public 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
@Test
public 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）
@Test
public 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
@Test
public 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）
@Test
public 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/
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