ES网格聚合

参考地址 Geohash 网格聚合 | Elasticsearch: 权威指南 | Elastic

es接口测试如下:

复制代码
DELETE /museums

#创建索引
PUT  /museums
{
	"mappings": {
		"properties": {
			"location": {
				"type": "geo_point"
			}
		}
	}
}

#添加数据
POST /museums/_bulk?refresh
{"index":{"_id":1}}
{"location": {"lon":"52.374081","lat": "4.912350"}, "name": "NEMO Science Museum"}
{"index":{"_id":2}}
{"location": {"lon":"52.369219","lat": "4.901618"}, "name": "Museum HetRembrandthuis"}
{"index":{"_id":3}}
{"location": {"lon":"52.371667","lat": "4.914722"}, "name": "Nederlands Scheepvaartmuseum"}
{"index":{"_id":4}}
{"location": {"lon":"51.222900","lat": "4.405200"}, "name": "Letterenhuis"}
{"index":{"_id":5}}
{"location":  {"lon":"48.861111","lat": "2.336389"}, "name": "Musée du Louvre"}
{"index":{"_id":6}}
{"location": {"lon":"48.860000","lat": "2.327000"}, "name": "Musée d'Orsay"}


#查询数据
GET /museums/_search
{
  "query": {
    "match_all": {}
  }
}


#查询数据,精度 1-8  越大地图桶越小,分的组越多
POST /museums/_search?size=0
{
	"aggregations": {
		"large-grid": {
			"geohash_grid": {
				"field": "location",
				"precision": 3
			}
		}
		
	}
}



#查询数据,精度 1-8  越大地图桶越小,分的组越多
GET /museums/_search?size=0
{
	  "aggs": {
    "large-grid": {
      "geohash_grid": {
        "field":     "location",
        "precision": 3
      },
      "aggs": {
        "cell": { 
          "geo_bounds": {
            "field": "location"
          }
        }
      }
    }
  }
}


#指定矩形内查询数据,精度 1-8  越大地图桶越小,分的组越多
GET /museums/_search?size=3
{
  "query": {
    "constant_score": {
      "filter": {
        "geo_bounding_box": {
          "location": {
            "top_left": {
              "lon": "52.374081",
               "lat": "5.912350"
            },
            "bottom_right": {
              "lon": "52.374081",
              "lat": "4.912350"
            }
          }
        }
      }
    }
    
  }, 
	  "aggs": {
      "large-grid": {
        "geohash_grid": {
        "field":     "location",
        "precision": 5
      },
      "aggs": {
        "cell": { 
          "geo_bounds": {
            "field": "location"
          }
        }
      }
    }
  }
}


#指定桶的key查询数据,精度 1-8  越大地图桶越小,分的组越多
GET /museums/_search?size=3
{
  "query": {
    "constant_score": {
      "filter": {
        "geo_bounding_box": {
          "location": {
            "top_left": "t0v",
            "bottom_right": "t0v"
          }
        }
      }
    }
    
  }, 
	  "aggs": {
      "large-grid": {
        "geohash_grid": {
        "field":     "location",
        "precision": 5
      },
      "aggs": {
        "cell": { 
          "geo_bounds": {
            "field": "location"
          }
        }
      }
    }
  }
}
相关推荐
洛森唛1 小时前
ElasticSearch查询语句Query String详解:从入门到精通
后端·elasticsearch
字节跳动数据平台2 小时前
5000 字技术向拆解 | 火山引擎多模态数据湖如何释放模思智能的算法生产力
大数据
武子康8 小时前
大数据-239 离线数仓 - 广告业务实战:Flume 导入日志到 HDFS,并完成 Hive ODS/DWD 分层加载
大数据·后端·apache hive
洛森唛1 天前
Elasticsearch DSL 查询语法大全:从入门到精通
后端·elasticsearch
字节跳动数据平台1 天前
代码量减少 70%、GPU 利用率达 95%:火山引擎多模态数据湖如何释放模思智能的算法生产力
大数据
得物技术1 天前
深入剖析Spark UI界面:参数与界面详解|得物技术
大数据·后端·spark
武子康1 天前
大数据-238 离线数仓 - 广告业务 Hive分析实战:ADS 点击率、购买率与 Top100 排名避坑
大数据·后端·apache hive
武子康2 天前
大数据-237 离线数仓 - Hive 广告业务实战:ODS→DWD 事件解析、广告明细与转化分析落地
大数据·后端·apache hive
大大大大晴天2 天前
Flink生产问题排障-Kryo serializer scala extensions are not available
大数据·flink
Elasticsearch3 天前
如何使用 Agent Builder 排查 Kubernetes Pod 重启和 OOMKilled 事件
elasticsearch