ES elasticsearch 实现 count单字段,分组取前多少位,以地理位置中心进行统计

测试数据

测试index  mappings
PUT  sports
{
      "mappings" : {
      "properties" : {
        "birthdate" : {
          "type" : "text",
          "fields" : {
            "keyword" : {
              "type" : "keyword",
              "ignore_above" : 256
            }
          }
        },
        "location" : {
          "type" : "geo_point"
        },
        "name" : {
          "type" : "text",
          "fields" : {
            "keyword" : {
              "type" : "keyword",
              "ignore_above" : 256
            }
          }
        },
        "rating" : {
          "type" : "text",
          "fields" : {
            "keyword" : {
              "type" : "keyword",
              "ignore_above" : 256
            }
          }
        },
        "sport" : {
          "type" : "text",
          "fields" : {
            "keyword" : {
              "type" : "keyword",
              "ignore_above" : 256
            }
          }
        }
      }
    }
}

POST _bulk/
{"index":{"_index":"sports"}}
{"name":"Michael","birthdate":"1989-10-1","sport":"Baseball","rating":["5","4"],"location":"46.22,-68.45"}
{"index":{"_index":"sports"}}
{"name":"Bob","birthdate":"1989-11-2","sport":"Baseball","rating":["3","4"],"location":"45.21,-68.35"}
{"index":{"_index":"sports"}}
{"name":"Jim","birthdate":"1988-10-3","sport":"Baseball","rating":["3","2"],"location":"45.16,-63.58"}
{"index":{"_index":"sports"}}
{"name":"Joe","birthdate":"1992-5-20","sport":"Baseball","rating":["4","3"],"location":"45.22,-68.53"}
{"index":{"_index":"sports"}}
{"name":"Tim","birthdate":"1992-2-28","sport":"Baseball","rating":["3","3"],"location":"46.22,-68.85"}
{"index":{"_index":"sports"}}
{"name":"Alfred","birthdate":"1990-9-9","sport":"Baseball","rating":["2","2"],"location":"45.12,-68.35"}
{"index":{"_index":"sports"}}
{"name":"Jeff","birthdate":"1990-4-1","sport":"Baseball","rating":["2","3"],"location":"46.12,-68.55"}
{"index":{"_index":"sports"}}
{"name":"Will","birthdate":"1988-3-1","sport":"Baseball","rating":["4","4"],"location":"46.25,-68.55"}
{"index":{"_index":"sports"}}
{"name":"Mick","birthdate":"1989-10-1","sport":"Baseball","rating":["3","4"],"location":"46.22,-68.45"}
{"index":{"_index":"sports"}}
{"name":"Pong","birthdate":"1989-11-2","sport":"Baseball","rating":["1","3"],"location":"45.21,-68.35"}
{"index":{"_index":"sports"}}
{"name":"Ray","birthdate":"1988-10-3","sport":"Baseball","rating":["2","2"],"location":"45.16,-63.58"}
{"index":{"_index":"sports"}}
{"name":"Ping","birthdate":"1992-5-20","sport":"Baseball","rating":["4","3"],"location":"45.22,-68.53"}
{"index":{"_index":"sports"}}
{"name":"Duke","birthdate":"1992-2-28","sport":"Baseball","rating":["5","2"],"location":"46.22,-68.85"}
{"index":{"_index":"sports"}}
{"name":"Hal","birthdate":"1990-9-9","sport":"Baseball","rating":["4","2"],"location":"45.12,-68.35"}
{"index":{"_index":"sports"}}
{"name":"Charge","birthdate":"1990-4-1","sport":"Baseball","rating":["3","2"],"location":"46.12,-68.55"}
{"index":{"_index":"sports"}}
{"name":"Barry","birthdate":"1988-3-1","sport":"Baseball","rating":["5","2"],"location":"46.25,-68.55"}
{"index":{"_index":"sports"}}
{"name":"Bank","birthdate":"1988-3-1","sport":"Golf","rating":["6","4"],"location":"46.25,-68.55"}
{"index":{"_index":"sports"}}
{"name":"Bingo","birthdate":"1988-3-1","sport":"Golf","rating":["10","7"],"location":"46.25,-68.55"}
{"index":{"_index":"sports"}}
{"name":"James","birthdate":"1988-3-1","sport":"Basketball","rating":["10","8"],"location":"46.25,-68.55"}
{"index":{"_index":"sports"}}
{"name":"Wayne","birthdate":"1988-3-1","sport":"Hockey","rating":["10","10"],"location":"46.25,-68.55"}
{"index":{"_index":"sports"}}
{"name":"Brady","birthdate":"1988-3-1","sport":"Football","rating":["10","10"],"location":"46.25,-68.55"}
{"index":{"_index":"sports"}}
{"name":"Lewis","birthdate":"1988-3-1","sport":"Football","rating":["10","10"],"location":"46.25,-68.55"}



根据某个字段进行统计

GET sports/_search
{
  "size": 0,
  "aggs": {
    "sport_count": {
      "value_count": {
        "field": "sport.keyword"
      }
    }
  }
}

根据某个字段统计取前多少条

GET sports/_search
{
  "size": 0,
  "aggs": {
    "sport": {
      "terms": {
        "field": "sport.keyword",
        "size": 3
      }
    }
  }
}

根据某个地理地址统计

GET sports/_search
{
  "size": 0,
  "aggregations": {
    "baseball_player_ring": {
      "geo_distance": {
        "field": "location",
        "unit": "km", 
        "origin": {
          "lat": 46.12,
          "lon": -68.55
        },
        "ranges": [
          {
            "from": 0,
            "to": 300
          }
        ]
      }
    }
  }
}

 

  

 

ES elasticsearch 实现 count单字段,分组取前多少位,以地理位置中心进行统计

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