如何在mongodb中使用facet操作查找字段的不同值

filteredAccording部分和categorizedBy使用我在链接中提供的查询按预期工作，但我在findDistinct部分遇到了问题

在mongodb中，我有以下数据：

 {
        "_id": 10001,
        "university": "SPYU",
        "Courses": [
          "English",
          "French"
        ],
        "dept": [
          "Literature"
        ],
        "type": [
          "Autonomous"
        ],
        "status": "ACTIVE",
        "isMarked": true
      },
      {
        "_id": 10002,
        "university": "SPYU",
        "Courses": [
          "English",
          "French"
        ],
        "dept": [
          "Literature"
        ],
        "type": [
          "Autonomous"
        ],
        "status": "NON-ACTIVE",
        "isMarked": true
      }

我希望答案是：

 "university": [
  {
    "name": "Literature",
    "values": [
      {
        "_id": 10001,
        "university": "SPYU",
        "Courses": [
          "English",
          "French"
        ],
        "dept": [
          "Literature"
        ],
        "type": [
          "Autonomous"
        ],
        "status": "ACTIVE",
        "isMarked": true
      },
      {
        "_id": 10002,
        "university": "SPYU",
        "Courses": [
          "English",
          "French"
        ],
        "dept": [
          "Literature"
        ],
        "type": [
          "Autonomous"
        ],
        "status": "NON-ACTIVE",
        "isMarked": true
      }
    ]
  }
],
 "findDistinct": [
    {​​​​​​​​
      "name": "Courses",
      "values": [
        "English",
         "French"
      ]
    }​​​​​​​​,
    {​​​​​​​​
      "name": "Status",
      "values": [
        "ACTIVE",
        "NON-ACTIVE"
      ]
    }​​​​​​​​
  ]

我尝试使用此链接，但没有得到预期的响应。

现在，反应是这样的

 "universities": [
  {
    "name": "Literature",
    "values": [
      {
        "_id": 10001,
        "university": "SPYU",
        "Courses": [
          "English",
          "French"
        ],
        "dept": [
          "Literature"
        ],
        "type": [
          "Autonomous"
        ],
        "status": "ACTIVE",
        "isMarked": true
      },
      {
        "_id": 10002,
        "university": "SPYU",
        "Courses": [
          "English",
          "French"
        ],
        "dept": [
          "Literature"
        ],
        "type": [
          "Autonomous"
        ],
        "status": "NON-ACTIVE",
        "isMarked": true
      }
    ]
  }
],
"findDistinct": [
    {​​​​​​​​
      "Courses": [
        "English",
         "French"
      ]
    }​​​​​​​​,
    {​​​​​​​​
      "status": [
        "ACTIVE",
        "NON-ACTIVE"
      ]
    }​​​​​​​​
  ]

---

任何帮助都将不胜感激

查询中的快速修复

大学：

• $addFields

  ，删除$project并仅为标记的

  添加一个操作

• $unwind

  解构

  dept

  数组

• $group

  by

  dept

  并获取根目录的值数组

查找目标：

• $group

  按null排序，并获取唯一的

  课程

  数组和

  状态

• $reduce

  迭代

  课程的循环

  嵌套数组，并使用

  $setUnion

• 在

  dest

  字段中设置路线和

  状态的数组

• $unwind

  解构

  dest

  数组

• $replaceRoot

  replace

  dest

  对象到根目录

db.collection.aggregate([
  { $match: { university: "SPYU" }
  },
  {
    $facet: {
      universities: [
        { $addFields: { isMarked: { $in: ["French", "$Courses"] } } },
        { $unwind: "$dept" },
        {
          $group: {
            _id: "$dept",
            values: { $push: "$$ROOT" }
          }
        }
      ],
      findDistinct: [
        {
          $group: {
            _id: null,
            Courses: { $addToSet: "$Courses" },
            Status: { $addToSet: "$status" }
          }
        },
        {
          $project: {
            _id: 0,
            dist: [
              {
                name: "Courses",
                values: {
                  $reduce: {
                    input: "$Courses",
                    initialValue: [],
                    in: { $setUnion: ["$$this", "$$value"] }
                  }
                }
              },
              {
                name: "Status",
                values: "$Status"
              }
            ]
          }
        },
        { $unwind: "$dist" },
        { $replaceRoot: { newRoot: "$dist" } }
      ]
    }
  }
])