在Mongo中将不同的收集结果合并为一个

{
  "_id": ObjectId("60a7e3b2e8e9a7d3f8e9a7d3"),
  "name": "Alice",
  "age": 25
}
{
  "_id": ObjectId("60a7e3b2e8e9a7d3f8e9a7d4"),
  "name": "Bob",
  "age": 30
}

{
  "_id": ObjectId("60a7e3b2e8e9a7d3f8e9a7d5"),
  "name": "Charlie",
  "age": 35
}
{
  "_id": ObjectId("60a7e3b2e8e9a7d3f8e9a7d6"),
  "name": "David",
  "age": 40
}

db.collection1.aggregate([
  { $match: {} }, // 可以根据需要添加筛选条件
  { $group: { _id: null, data: { $push: "$$ROOT" } } },
  { $project: { _id: 0, data: 1 } }
])

{
  "data": [
    {
      "_id": ObjectId("60a7e3b2e8e9a7d3f8e9a7d3"),
      "name": "Alice",
      "age": 25
    },
    {
      "_id": ObjectId("60a7e3b2e8e9a7d3f8e9a7d4"),
      "name": "Bob",
      "age": 30
    },
    {
      "_id": ObjectId("60a7e3b2e8e9a7d3f8e9a7d5"),
      "name": "Charlie",
      "age": 35
    },
    {
      "_id": ObjectId("60a7e3b2e8e9a7d3f8e9a7d6"),
      "name": "David",
      "age": 40
    }
  ]
}