Elasticsearch地理位置信息维护及检索案例分享

1.准备工作
参考文档《 高性能elasticsearch ORM开发库使用介绍》导入和配置es客户端到工程

2.定义带地理位置类型的mapping
创建一个city索引表结构,字段location的 类型为geo_point,并且定义一个检索的dsl语句

在resources目录下创建文件esmapper/address.xml,内容如下：

<properties>
<property name="createCityIndice"><![CDATA[{
  "settings": {
         "number_of_shards": 6,
         "index.refresh_interval": "5s"
  },
  "mappings": {
                "city": {
                    "properties": {
                        "standardAddrId":{
                            "type":"keyword"
                        },
                        "detailName": {
                            "type": "text",
                             
                            "fields": {
                                "keyword": {
                                    "type": "keyword"
                                }
                            }
                        },
                        "cityName":{
                            "type": "text",
                            "fields": {
                                "keyword": {
                                    "type": "keyword"
                                }
                            }
                        },
                        "countyName":{
                            "type": "text",
                            "fields": {
                                "keyword": {
                                    "type": "keyword"
                                }
                            }
                        },
                        "location":{
                            "type": "geo_point"
                        }

                    }
                }
            }
}]]></property>
<property name="locationSearch"><![CDATA[{
        "size": 100,
        "query": {
            "bool": {
                "must": [
                    {
                          "match_phrase_prefix" : {
                                "detailName" : {
                                    "query" : #[detailName]
                                }
                            }

                    },
                    {
                        "geo_distance": {
                            "distance": #[distance],
                            "location": {
                                "lon": #[lon],
                                "lat": #[lat]
                            }
                        }
                    }
                ]
            }
        }
    }]]></property>
</properties>

创建索引表

//创建加载配置文件的客户端工具，单实例多线程安全，第一次运行要预加载，有点慢
		ClientInterface clientUtil = ElasticSearchHelper.getConfigRestClientUtil("esmapper/address.xml");
		try {
			//先删除mapping
			clientUtil.dropIndice("city");
		} catch (ElasticSearchException e) {
			// TODO Auto-generated catch block
			e.printStackTrace();
		}
		//再创建mapping
		clientUtil.createIndiceMapping("city",//索引表名称
				"createCityIndice");//索引表mapping dsl脚本名称，在esmapper/address.xml中定义createCityIndice

3.添加索引文档

Map<String,String> params = new HashMap<String,String>();
		params.put("cityName","潭市");
		params.put("standardAddrId","38130122");
		params.put("detailName","贵溪市花园办事处建设路四冶生活区4-11栋33单元1层1010");
		params.put("location","28.292781,117.238963");
		params.put("countyName","中国");
ClientInterface clientUtil = ElasticSearchHelper.getRestClientUtil();				
clientUtil.addDocument("city",//索引名称
                       "city",//索引类型
                        params);//索引数据对象
                        "refresh");//强制刷新索引数据，让插入数据实时生效，如果考虑性能需要，可以去掉refresh参数

4.地理位置检索

ClientInterface clientUtil = ElasticSearchHelper.getConfigRestClientUtil("esmapper/address.xml");
		Map<String,String> params = new HashMap<String,String>();
		params.put("detailName","海域香廷160栋1单元3层302室");
		params.put("distance","0.5km");
		params.put("lon","115.824994");
		params.put("lat","28.666162");
//返回map对象列表，也可以返回其他实体对象列表
		ESDatas<Map> datas = clientUtil.searchList("city/_search","locationSearch",params,Map.class);
//返回json报文
		System.out.print(clientUtil.executeRequest("city/_search","locationSearch",params));

5.参考文档
更多bboss 使用文档可以参考：
https://my.oschina.net/bboss/blog/1556866
6.开发交流
bboss elasticsearch技术交流群：166471282

bboss elasticsearch微信公众号：