Mongodb Mongdb geonear查询，按给定字段唯一，按日期获取最新记录_Mongodb_Mongodb Query_Aggregation Framework_Spring Data Mongodb

Mongodb Mongdb geonear查询，按给定字段唯一，按日期获取最新记录

mongodb

Mongodb Mongdb geonear查询，按给定字段唯一，按日期获取最新记录,mongodb,mongodb-query,aggregation-framework,spring-data-mongodb,Mongodb,Mongodb Query,Aggregation Framework,Spring Data Mongodb,我的收藏（用户位置）：注意：包含重复项 [{ "_id": "6098d225376f8417fc6dac65", "userId": 1, "location": { "type": "Point", "coordinates": [ 78.9147, 11.8895 ] }, &quo

我的收藏（用户位置）： 注意：包含重复项

[{
  "_id": "6098d225376f8417fc6dac65",
  "userId": 1,
  "location": {
    "type": "Point",
    "coordinates": [
      78.9147,
      11.8895
    ]
  },
  "locationTime": "2021-05-10T06:26:45.101Z",
  "createdBy": "admin" 
},{
  "_id": "6098d243376f8417fc6dac66",
  "userId": 2,
  "location": {
    "type": "Point",
    "coordinates": [
      78.9639,
      11.7384
    ]
  },
  "locationTime": "2021-05-10T06:27:15.795Z",
  "createdBy": "admin" 
},{
  "_id": "6098d383376f8417fc6dac67",
  "userId": 2,
  "location": {
    "type": "Point",
    "coordinates": [
      78.6345,
      12.5856
    ]
  },
  "locationTime": "2021-05-10T06:32:35.297Z",
  "createdBy": "admin"  
},{
  "_id": "6098d46c376f8417fc6dac68",
  "userId": 1,
  "location": {
    "type": "Point",
    "coordinates": [
      78.6345,
      12.5856
    ]
  },
  "locationTime": "2021-05-10T06:36:28.338Z",
  "createdBy": "admin"
},{
  "_id": "609b8808d754cc1081e83652",
  "userId": 1,
  "location": {
    "type": "Point",
    "coordinates": [
      78.9639,
      11.7384
    ]
  },
  "locationTime": "2021-05-12T07:47:20.521Z",
  "createdBy": "admin"
}]

任务：基于纬度、经度和距离（公里）。结果应该是唯一的，最新的（按日期）用户ID，并且结果不应该重复。

输入： 纬度：11.8895，经度：78.9147 距离：50（公里）

我所尝试的：

[{
  "_id": "6098d225376f8417fc6dac65",
  "userId": 1,
  "location": {
    "type": "Point",
    "coordinates": [
      78.9147,
      11.8895
    ]
  },
  "locationTime": "2021-05-10T06:26:45.101Z",
  "createdBy": "admin"
  
},{
  "_id": "6098d243376f8417fc6dac66",
  "userId": 2,
  "location": {
    "type": "Point",
    "coordinates": [
      78.9639,
      11.7384
    ]
  },
  "locationTime": "2021-05-10T06:27:15.795Z",
  "createdBy": "admin"
  
},{
  "_id": "609b8808d754cc1081e83652",
  "userId": 1,
  "location": {
    "type": "Point",
    "coordinates": [
      78.9639,
      11.7384
    ]
  },
  "locationTime": "2021-05-12T07:47:20.521Z",
  "createdBy": "admin"
}]

db.getCollection('user_location').aggregate([
  {
    "$sort": {
      "userId": 1,
      "locationTime": 1
    }
  },
  {
    "$group": {
      "_id": "$userId",
      "locationTime": {
        "$last": "$locationTime"
      },
      "location": {
        "$last": "$location"
      },
      "objectId": {
        "$last": "$_id"
      },
      "createdBy": {
        "$last": "$createdBy"
      }
    }
  },
  {
    "$project": {
      "_id": "$objectId",
      "userId": "$_id",
      "location": 1,
      "locationTime": 1,
       "createdBy": 1
    }
  }
])

{
  "_id": "6098d383376f8417fc6dac67",
  "userId": 2,
  "location": {
    "type": "Point",
    "coordinates": [
      78.6345,
      12.5856
    ]
  },
  "locationTime": "2021-05-10T06:32:35.297Z",
  "createdBy": "admin"
  
},{
  "_id": "609b8808d754cc1081e83652",
  "userId": 1,
  "location": {
    "type": "Point",
    "coordinates": [
      78.9639,
      11.7384
    ]
  },
  "locationTime": "2021-05-12T07:47:20.521Z",
  "createdBy": "admin"
}

{
  "_id": "609b8808d754cc1081e83652",
  "userId": 1,
  "location": {
    "type": "Point",
    "coordinates": [
      78.9639,
      11.7384
    ]
  },
  "locationTime": "2021-05-12T07:47:20.521Z",
  "createdBy": "admin"
}

查询1以获取最近的数据：

db.getCollection('user_location').aggregate
([
  {
    "$geoNear": {
      "near": [
        78.9147,
        11.8895
      ],
      "maxDistance": 0.00783927971443699,
      "distanceMultiplier": 6378.137,
      "spherical": true,
      "distanceField": "distance",
      "key": "location"
    }
  }
])

查询1结果（包含重复项）：

[{
  "_id": "6098d225376f8417fc6dac65",
  "userId": 1,
  "location": {
    "type": "Point",
    "coordinates": [
      78.9147,
      11.8895
    ]
  },
  "locationTime": "2021-05-10T06:26:45.101Z",
  "createdBy": "admin"
  
},{
  "_id": "6098d243376f8417fc6dac66",
  "userId": 2,
  "location": {
    "type": "Point",
    "coordinates": [
      78.9639,
      11.7384
    ]
  },
  "locationTime": "2021-05-10T06:27:15.795Z",
  "createdBy": "admin"
  
},{
  "_id": "609b8808d754cc1081e83652",
  "userId": 1,
  "location": {
    "type": "Point",
    "coordinates": [
      78.9639,
      11.7384
    ]
  },
  "locationTime": "2021-05-12T07:47:20.521Z",
  "createdBy": "admin"
}]

db.getCollection('user_location').aggregate([
  {
    "$sort": {
      "userId": 1,
      "locationTime": 1
    }
  },
  {
    "$group": {
      "_id": "$userId",
      "locationTime": {
        "$last": "$locationTime"
      },
      "location": {
        "$last": "$location"
      },
      "objectId": {
        "$last": "$_id"
      },
      "createdBy": {
        "$last": "$createdBy"
      }
    }
  },
  {
    "$project": {
      "_id": "$objectId",
      "userId": "$_id",
      "location": 1,
      "locationTime": 1,
       "createdBy": 1
    }
  }
])

{
  "_id": "6098d383376f8417fc6dac67",
  "userId": 2,
  "location": {
    "type": "Point",
    "coordinates": [
      78.6345,
      12.5856
    ]
  },
  "locationTime": "2021-05-10T06:32:35.297Z",
  "createdBy": "admin"
  
},{
  "_id": "609b8808d754cc1081e83652",
  "userId": 1,
  "location": {
    "type": "Point",
    "coordinates": [
      78.9639,
      11.7384
    ]
  },
  "locationTime": "2021-05-12T07:47:20.521Z",
  "createdBy": "admin"
}

{
  "_id": "609b8808d754cc1081e83652",
  "userId": 1,
  "location": {
    "type": "Point",
    "coordinates": [
      78.9639,
      11.7384
    ]
  },
  "locationTime": "2021-05-12T07:47:20.521Z",
  "createdBy": "admin"
}

查询2以按日期获取最新记录，并按用户ID获取唯一记录：

[{
  "_id": "6098d225376f8417fc6dac65",
  "userId": 1,
  "location": {
    "type": "Point",
    "coordinates": [
      78.9147,
      11.8895
    ]
  },
  "locationTime": "2021-05-10T06:26:45.101Z",
  "createdBy": "admin"
  
},{
  "_id": "6098d243376f8417fc6dac66",
  "userId": 2,
  "location": {
    "type": "Point",
    "coordinates": [
      78.9639,
      11.7384
    ]
  },
  "locationTime": "2021-05-10T06:27:15.795Z",
  "createdBy": "admin"
  
},{
  "_id": "609b8808d754cc1081e83652",
  "userId": 1,
  "location": {
    "type": "Point",
    "coordinates": [
      78.9639,
      11.7384
    ]
  },
  "locationTime": "2021-05-12T07:47:20.521Z",
  "createdBy": "admin"
}]

db.getCollection('user_location').aggregate([
  {
    "$sort": {
      "userId": 1,
      "locationTime": 1
    }
  },
  {
    "$group": {
      "_id": "$userId",
      "locationTime": {
        "$last": "$locationTime"
      },
      "location": {
        "$last": "$location"
      },
      "objectId": {
        "$last": "$_id"
      },
      "createdBy": {
        "$last": "$createdBy"
      }
    }
  },
  {
    "$project": {
      "_id": "$objectId",
      "userId": "$_id",
      "location": 1,
      "locationTime": 1,
       "createdBy": 1
    }
  }
])

{
  "_id": "6098d383376f8417fc6dac67",
  "userId": 2,
  "location": {
    "type": "Point",
    "coordinates": [
      78.6345,
      12.5856
    ]
  },
  "locationTime": "2021-05-10T06:32:35.297Z",
  "createdBy": "admin"
  
},{
  "_id": "609b8808d754cc1081e83652",
  "userId": 1,
  "location": {
    "type": "Point",
    "coordinates": [
      78.9639,
      11.7384
    ]
  },
  "locationTime": "2021-05-12T07:47:20.521Z",
  "createdBy": "admin"
}

{
  "_id": "609b8808d754cc1081e83652",
  "userId": 1,
  "location": {
    "type": "Point",
    "coordinates": [
      78.9639,
      11.7384
    ]
  },
  "locationTime": "2021-05-12T07:47:20.521Z",
  "createdBy": "admin"
}

查询2结果：

[{
  "_id": "6098d225376f8417fc6dac65",
  "userId": 1,
  "location": {
    "type": "Point",
    "coordinates": [
      78.9147,
      11.8895
    ]
  },
  "locationTime": "2021-05-10T06:26:45.101Z",
  "createdBy": "admin"
  
},{
  "_id": "6098d243376f8417fc6dac66",
  "userId": 2,
  "location": {
    "type": "Point",
    "coordinates": [
      78.9639,
      11.7384
    ]
  },
  "locationTime": "2021-05-10T06:27:15.795Z",
  "createdBy": "admin"
  
},{
  "_id": "609b8808d754cc1081e83652",
  "userId": 1,
  "location": {
    "type": "Point",
    "coordinates": [
      78.9639,
      11.7384
    ]
  },
  "locationTime": "2021-05-12T07:47:20.521Z",
  "createdBy": "admin"
}]

db.getCollection('user_location').aggregate([
  {
    "$sort": {
      "userId": 1,
      "locationTime": 1
    }
  },
  {
    "$group": {
      "_id": "$userId",
      "locationTime": {
        "$last": "$locationTime"
      },
      "location": {
        "$last": "$location"
      },
      "objectId": {
        "$last": "$_id"
      },
      "createdBy": {
        "$last": "$createdBy"
      }
    }
  },
  {
    "$project": {
      "_id": "$objectId",
      "userId": "$_id",
      "location": 1,
      "locationTime": 1,
       "createdBy": 1
    }
  }
])

{
  "_id": "6098d383376f8417fc6dac67",
  "userId": 2,
  "location": {
    "type": "Point",
    "coordinates": [
      78.6345,
      12.5856
    ]
  },
  "locationTime": "2021-05-10T06:32:35.297Z",
  "createdBy": "admin"
  
},{
  "_id": "609b8808d754cc1081e83652",
  "userId": 1,
  "location": {
    "type": "Point",
    "coordinates": [
      78.9639,
      11.7384
    ]
  },
  "locationTime": "2021-05-12T07:47:20.521Z",
  "createdBy": "admin"
}

{
  "_id": "609b8808d754cc1081e83652",
  "userId": 1,
  "location": {
    "type": "Point",
    "coordinates": [
      78.9639,
      11.7384
    ]
  },
  "locationTime": "2021-05-12T07:47:20.521Z",
  "createdBy": "admin"
}

预期输出：

[{
  "_id": "6098d225376f8417fc6dac65",
  "userId": 1,
  "location": {
    "type": "Point",
    "coordinates": [
      78.9147,
      11.8895
    ]
  },
  "locationTime": "2021-05-10T06:26:45.101Z",
  "createdBy": "admin"
  
},{
  "_id": "6098d243376f8417fc6dac66",
  "userId": 2,
  "location": {
    "type": "Point",
    "coordinates": [
      78.9639,
      11.7384
    ]
  },
  "locationTime": "2021-05-10T06:27:15.795Z",
  "createdBy": "admin"
  
},{
  "_id": "609b8808d754cc1081e83652",
  "userId": 1,
  "location": {
    "type": "Point",
    "coordinates": [
      78.9639,
      11.7384
    ]
  },
  "locationTime": "2021-05-12T07:47:20.521Z",
  "createdBy": "admin"
}]

db.getCollection('user_location').aggregate([
  {
    "$sort": {
      "userId": 1,
      "locationTime": 1
    }
  },
  {
    "$group": {
      "_id": "$userId",
      "locationTime": {
        "$last": "$locationTime"
      },
      "location": {
        "$last": "$location"
      },
      "objectId": {
        "$last": "$_id"
      },
      "createdBy": {
        "$last": "$createdBy"
      }
    }
  },
  {
    "$project": {
      "_id": "$objectId",
      "userId": "$_id",
      "location": 1,
      "locationTime": 1,
       "createdBy": 1
    }
  }
])

{
  "_id": "6098d383376f8417fc6dac67",
  "userId": 2,
  "location": {
    "type": "Point",
    "coordinates": [
      78.6345,
      12.5856
    ]
  },
  "locationTime": "2021-05-10T06:32:35.297Z",
  "createdBy": "admin"
  
},{
  "_id": "609b8808d754cc1081e83652",
  "userId": 1,
  "location": {
    "type": "Point",
    "coordinates": [
      78.9639,
      11.7384
    ]
  },
  "locationTime": "2021-05-12T07:47:20.521Z",
  "createdBy": "admin"
}

{
  "_id": "609b8808d754cc1081e83652",
  "userId": 1,
  "location": {
    "type": "Point",
    "coordinates": [
      78.9639,
      11.7384
    ]
  },
  "locationTime": "2021-05-12T07:47:20.521Z",
  "createdBy": "admin"
}

以上是预期的输出，因为此记录仅出现在查询1和查询2上。因此，这一次是独一无二的，最新的，在50公里范围内。

问题：如何将两个查询合并为一个查询并获得预期的输出。

临时解决方案：目前，我已经在java上执行了两个查询，并通过id比较它们，然后返回输出。

提前谢谢