在 MongoDB 中获取两个日期之间且具有特定值的数据。分组并使用 count 计算总和?
mongodbdatabasebig data analytics更新于 2026/1/6 13:37:17
要进行匹配，请在 MongoDB 中使用 $match;要获取两个日期之间的数据，请使用 $gte 和 $lte。让我们创建一个包含文档的集合。 −
> db.demo560.insertOne({"value1":40,"value2":40,shippingDate:new ISODate("2020-02-26")});{
"acknowledged" : true, "insertedId" : ObjectId("5e8f3d5254b4472ed3e8e867")
}
> db.demo560.insertOne({"value1":20,"value2":60,shippingDate:new ISODate("2020-02-26")});{
"acknowledged" : true, "insertedId" : ObjectId("5e8f3d5254b4472ed3e8e868")
}
> db.demo560.insertOne({"value1":40,"value2":70,shippingDate:new ISODate("2020-03-31")});{
"acknowledged" : true, "insertedId" : ObjectId("5e8f3d5254b4472ed3e8e869")
}
> db.demo560.insertOne({"value1":40,"value2":130,shippingDate:new ISODate("2020-03-31")});{
"acknowledged" : true, "insertedId" : ObjectId("5e8f3d5254b4472ed3e8e86a")
}
借助 find() 方法显示集合中的所有文档 −
> db.demo560.find();
这将产生以下输出 −
{ "_id" : ObjectId("5e8f3d5254b4472ed3e8e867"), "value1" : 40, "value2" : 40, "shippingDate" : ISODate("2020-02-26T00:00:00Z") }
{ "_id" : ObjectId("5e8f3d5254b4472ed3e8e868"), "value1" : 20, "value2" : 60, "shippingDate" : ISODate("2020-02-26T00:00:00Z") }
{ "_id" : ObjectId("5e8f3d5254b4472ed3e8e869"), "value1" : 40, "value2" : 70, "shippingDate" : ISODate("2020-03-31T00:00:00Z") }
{ "_id" : ObjectId("5e8f3d5254b4472ed3e8e86a"), "value1" : 40, "value2" : 130, "shippingDate" : ISODate("2020-03-31T00:00:00Z") }
以下查询用于获取两个日期之间具有特定值的数据。此处，value1 40 是我们指定的值 −
> db.demo560.aggregate([
... {
... $match: {
... "value1": 40,
... "shippingDate": {
... "$gte": ISODate("2020-02-26"),
... "$lte": ISODate("2020-03-31")
... }
... }
... },
... {
... $group: {
... "_id": "$shippingDate",
... total: {
... $sum: '$value2'
... },
... count: {
... $sum: 1
... }
... }
... }
... ])
这将产生以下输出 −
{ "_id" : ISODate("2020-03-31T00:00:00Z"), "total" : 200, "count" : 2 }
{ "_id" : ISODate("2020-02-26T00:00:00Z"), "total" : 40, "count" : 1 }
