Elasticsearch存储geo数据搜索
使用geo_point类型
创建索引
123456789101112131415161718 | curl -XPOST 'http://localhost:9200/weixin_discovery_market_location' -d ' { "aliases" : { "alias_weixin_discovery_market_location" : {} }, "mappings": { "type": { "properties": { "marketName":{ "type": "string" }, "location": { "type": "geo_point" } } } } }' |
|---|
添加数据
12345678 | curl -XPUT 'http://localhost:9200/weixin_discovery_market_location/type/1009' -d ' { "marketName": "真北商场", "location": { "lat": 41.12, "lon": -71.34 } }' |
|---|
添加数据
12345678 | curl -XPUT 'http://localhost:9200/weixin_discovery_market_location/type/1019' -d ' { "marketName": "吴中商场", "location": { "lat": 31.12, "lon": -51.34 } }' |
|---|
查询指定geo 周边最近地址
123456789101112131415161718192021222324252627282930 | curl -XPOST 'http://localhost:9200/weixin_discovery_market_location/type/_search' -d ' { "query": { "filtered": { "filter": { "geo_distance": { "distance": "91km", "location": { "lat": 31.12, "lon": -51.34 } } } } }, "sort": [ { "_geo_distance": { "location": { "lat": 31.12, "lon": -51.34 }, "order": "asc", "unit": "km", "distance_type": "plane" } } ] }' |
|---|
使用geo_shape类型
创建索引
12345678910111213141516171819 | curl -XPOST 'http://localhost:9200/weixin_discovery' -d ' { "aliases" : { "alias_weixin_discovery" : {} }, "mappings": { "type": { "properties": { "marketName":{ "type": "string" }, "location": { "type": "geo_shape", "points_only": true } } } } }' |
|---|
添加数据
12345678 | curl -XPUT 'http://localhost:9200/weixin_discovery/type/1009' -d ' { "marketName": "真北商场", "location": { "type": "point", "coordinates": [121.392496,31.245827] } }' |
|---|
查询指定geo 1KM范围内的geo数据信息
12345678910111213141516 | curl -XPOST 'http://localhost:9200/weixin_discovery/type/_search' -d ' { "query": { "geo_shape": { "location": { "shape": { "type": "circle", "radius": "1km", "coordinates": [ 121.391337,31.244654 ] } } } } }' |
|---|
reference
本文参与 腾讯云自媒体同步曝光计划，分享自作者个人站点/博客。
原始发表：2019-03-21，如有侵权请联系 cloudcommunity@tencent.com 删除
评论
登录后参与评论
推荐阅读
目录
腾讯云开发者
