Mongodb每两小时聚合一次



我有一个以下形式的聚合查询

db.mycollection.aggregate([  
  {
    "$match": 
    {
      "Time": { $gte: ISODate("2016-01-30T00:00:00.000+0000") }
    }
  },  
  { 
    "$group": 
    {
      "_id": 
      {  
        "day": { "$dayOfYear": "$Time" },  
        "hour": { "$hour": "$Time" } 
      },  
      "Dishes": { "$addToSet": "$Dish" }  
    }
  },  
  { 
    "$group": 
    {  
      "_id": "$_id.hour",  
      "Food": 
      {   
        "$push": 
        {  
          "Day": "$_id.day",  
          "NumberOfDishes": { "$size":"$Dishes" }  
        }  
      }  
    }
  },  
  {
    "$project":
      {
        "Hour": "$_id",
        "Food": "$Food",
        "_id" : 0
      }
  },  
  { 
    "$sort": { "Hour": 1 }
  }  
]);

代替如上所述在一小时的持续时间内进行,例如0-1,1-2,2-3,3-4,4-5,。。。,23-24,我希望能在两个小时内完成这项工作。例如0-2,2-4,4-6,。。。,22-24.有办法做到这一点吗?

提示:在$project 中使用算术聚合运算符

比方说,H=floor(hour/2),其中hour是从文档日期算起的实际小时。然后您可以通过将$floor$divide运算符应用于该日期来获得H

"H": { $floor: { $divide: [ { "$hour": "$Time" }, 2 ] } }

这里H对应于一对小时(Hours=[0,2) => H=0Hours=[2,4) => H=1Hours=[22,24) => H=11等),您可以使用将其传递到$group阶段

$group: { "_id": { "day": { $dayOfYear: "$Time" }, "H": "$H" } }

然后,您可以使用输出特定H的成对小时数

"Hours": [ { $multiply: [ "$H", 2 ] }, { $sum: [ { $multiply: [ "$H", 2 ] }, 2 ] } ]

给定的文件集合

{ "Time" : ISODate("2016-01-30T01:00:00Z"), "Dish" : "dish1" }
{ "Time" : ISODate("2016-01-30T02:00:00Z"), "Dish" : "dish2" }
{ "Time" : ISODate("2016-01-30T03:00:00Z"), "Dish" : "dish3" }
{ "Time" : ISODate("2016-01-30T04:00:00Z"), "Dish" : "dish4" }
{ "Time" : ISODate("2016-01-30T05:00:00Z"), "Dish" : "dish5" }
{ "Time" : ISODate("2016-01-30T06:00:00Z"), "Dish" : "dish6" }
{ "Time" : ISODate("2016-01-30T07:00:00Z"), "Dish" : "dish7" }
{ "Time" : ISODate("2016-01-30T08:00:00Z"), "Dish" : "dish8" }
{ "Time" : ISODate("2016-01-30T09:00:00Z"), "Dish" : "dish9" }

并在上使用下一个聚合

db.mycollection.aggregate([  
  {
    "$match": 
    {
      "Time": { $gte: ISODate("2016-01-30T00:00:00.000+0000") }
    }
  },
  {
    "$project":
    {
      "Dish": 1,
      "Time": 1,
      "H": { $floor: { $divide: [ { $hour: "$Time" }, 2 ] } }
    }
  },
  { 
    "$group": 
    {
      "_id": 
      {  
        "day": { $dayOfYear: "$Time" },  
        "H": "$H" 
      },
      "Dishes": { $addToSet: "$Dish" }  
    }
  },  
  { 
    "$group": 
    {  
      "_id": "$_id.H",  
      "Food": 
      {   
        "$push": 
        {  
          "Day": "$_id.day",  
          "NumberOfDishes": { $size: "$Dishes" }  
        }  
      }  
    }
  },
  { 
    "$sort": { "_id": 1 }
  },
  {
    "$project":
      {
        "Hours": [ { $multiply: [ "$_id", 2 ] }, { $sum: [ { $multiply: [ "$_id", 2 ] }, 2 ] } ],
        "Food": "$Food",
        "_id": 0
      }
  }
]);

提供结果

{ "Food" : [ { "Day" : 30, "NumberOfDishes" : 1 } ], "Hours" : [ 0, 2 ] }
{ "Food" : [ { "Day" : 30, "NumberOfDishes" : 2 } ], "Hours" : [ 2, 4 ] }
{ "Food" : [ { "Day" : 30, "NumberOfDishes" : 2 } ], "Hours" : [ 4, 6 ] }
{ "Food" : [ { "Day" : 30, "NumberOfDishes" : 2 } ], "Hours" : [ 6, 8 ] }
{ "Food" : [ { "Day" : 30, "NumberOfDishes" : 2 } ], "Hours" : [ 8, 10 ] }

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