嵌套数组中包含组和项目的 MongoDB 聚合集合答案

【问题标题】：MongoDB aggregate collection with group and project in nested array嵌套数组中包含组和项目的 MongoDB 聚合集合
【发布时间】：2019-09-18 17:57:01
【问题描述】：

我在 mongodb 中有一个具有以下结构的集合：

{ 
   "RuleSetId": "5bfd3c25fe29a81aa42a3972",
   "MachineName": "HDHX1090",
   "IsCompliant": "False",
   "InfoDate": ISODate("2019-09-15T23:14:22.032+0000")
},
{ 
   "RuleSetId": "5bfd3c25fe29a81aa42a3972",
   "MachineName": "HDHX2045",
   "IsCompliant": "True",
   "InfoDate": ISODate("2019-09-15T23:14:22.032+0000")
},
{ 
   "RuleSetId": "5bfd3c25fe29a81aa42a3972",
   "MachineName": "NDEN1295",
   "IsCompliant": "False",
   "InfoDate": ISODate("2019-09-15T23:12:22.032+0000")
},
{ 
   "RuleSetId": "5bfd3c25fe29a81aa42a3972",
   "MachineName": "HDHX1090",
   "IsCompliant": "True",
   "InfoDate": ISODate("2019-08-13T23:14:22.032+0000")
},
{ 
   "RuleSetId": "5bfd3c25fe29a81aa42a3972",
   "MachineName": "HDHX2045",
   "IsCompliant": "True",
   "InfoDate": ISODate("2019-08-13T23:14:22.032+0000")
},
{ 
   "RuleSetId": "5bfd3c25fe29a81aa42a3972",
   "MachineName": "NDEN1295",
   "IsCompliant": "True",
   "InfoDate": ISODate("2019-08-13T23:12:22.032+0000")
},
{ 
   "RuleSetId": "5bfe7ef4ed244b1d48fdaaeb",
   "MachineName": "HDHN1285",
   "IsCompliant": "False",
   "InfoDate": ISODate("2019-05-30T23:14:24.300+0000")
},
{ 
   "RuleSetId": "5bfe7ef4ed244b1d48fdaaeb",
   "MachineName": "HDHX1090",
   "IsCompliant": "False",
   "InfoDate":ISODate("2019-05-30T23:14:24.300+0000")
},
{ 
   "RuleSetId": "5bfe91b3ed244b1d48fdabcb",
   "MachineName": "HDHW2455",
   "IsCompliant": "False",
   "InfoDate": ISODate("2019-05-30T22:14:23.652+0000")
}

说明：将有有限的 RuleSetId（15 到 20），并且针对每个 RuleSetId，在单个 InfoDate 上可以有 n 个具有 IsCompliant “True”或“False”的 MachineName，同样可以在不同的 InfoDate 上重复。

现在我想在 "RuleSetId"、"MachineName" 和 "InfoDate" 列上分组并应用 "count" > 基于 "IsCompliant" 值，我希望结果输出应如下所示：

{ 
   "RuleSetId":"5bfd3c25fe29a81aa42a3972",
   "History":[ 
      { 
         "InfoDate":"2019-09-15",
         "CompliantCount":1,
         "NonCompliantCount":2
      },
      { 
         "InfoDate":"2019-08-13",
         "CompliantCount":3,
         "NonCompliantCount":0
      }
   ]
},
{ 
   "RuleSetId":"5bfe7ef4ed244b1d48fdaaeb",
   "History":[ 
      { 
         "InfoDate":"2019-05-30",
         "CompliantCount":0,
         "NonCompliantCount":3
      }
   ]
}

是否可以使用 mongodb 的聚合方法来完成此任务，或者您会建议一些不同的方法来完成它？

在此先感谢，拉吉夫

【问题讨论】：

标签： mongodb mongodb-query aggregation-framework

【解决方案1】：

你可以使用下面的聚合

db.collection.aggregate([
  { "$group": {
    "_id": {
      "RuleSetId": "$RuleSetId",
      "InfoDate": { "$dateToString": { "date": "$InfoDate", "format": "%d:%m:%Y" }}
    },
    "CompliantCount": {
      "$sum": { "$cond": [{ "$eq": ["$IsCompliant", "True"] }, 1, 0] }
    },
    "NonCompliantCount": {
      "$sum": { "$cond": [{ "$eq": ["$IsCompliant", "True"] }, 0, 1] }
    }
  }},
  { "$group": {
    "_id": "$_id.RuleSetId",
    "History": {
      "$push": {
        "InfoDate": "$_id.infoDate",
        "NonCompliantCount": "$NonCompliantCount",
        "CompliantCount": "$CompliantCount"
      }
    }
  }}
])

【讨论】：