Javascript 基于过去日期的Mongodb聚合
我试图在Mongodb中执行查询。我要执行的查询是根据日期(过去7天)查找集合中的所有订单,然后使用每个订单的嵌套对象将价格相加。到目前为止,我有以下代码: 收集/数据Javascript 基于过去日期的Mongodb聚合,javascript,mongodb,aggregation-framework,Javascript,Mongodb,Aggregation Framework,我试图在Mongodb中执行查询。我要执行的查询是根据日期(过去7天)查找集合中的所有订单,然后使用每个订单的嵌套对象将价格相加。到目前为止,我有以下代码: 收集/数据 { "_id" : "g32fYpydfSFDbFkoi", "orderNumber" : 1234, "createdAt" : ISODate("2016-01-12T13:50:17.559Z"), "productsInOrder" : [ { "
{
"_id" : "g32fYpydfSFDbFkoi",
"orderNumber" : 1234,
"createdAt" : ISODate("2016-01-12T13:50:17.559Z"),
"productsInOrder" : [
{
"category" : "ambient",
"item" : 23982,
"desc" : "Ergonomic Cotton Sausages",
"quantity" : "456",
"price" : "0.54",
"lineprice" : "246.24",
"_id" : "BdD4QnM7sYTwBpLds"
},
{
"category" : "ambient",
"item" : 15336,
"desc" : "Rustic Wooden Chicken",
"quantity" : "2",
"price" : "1.87",
"lineprice" : "3.74",
"_id" : "PvtSxi2MfYrZNTD6f"
},
{
"category" : "chilled",
"item" : 57584,
"desc" : "Unbranded Soft Chicken",
"quantity" : "3",
"price" : "4.69",
"lineprice" : "14.07",
"_id" : "ppkECqmhPvg7pQcgB"
},
{
"category" : "ambient",
"item" : 71168,
"desc" : "Rustic Rubber Computer",
"quantity" : "5",
"price" : "3.04",
"lineprice" : "15.20",
"_id" : "bZtr5dkvsG92YtLoe"
},
{
"category" : "frozen",
"item" : 87431,
"desc" : "Unbranded Granite Sausages",
"quantity" : "5678",
"price" : "1.98",
"lineprice" : "11242.44",
"_id" : "ZKur3rHhtCLsWiENr"
},
{
"category" : "frozen",
"item" : 75007,
"desc" : "Practical Frozen Towels",
"quantity" : "678",
"price" : "1.19",
"lineprice" : "806.82",
"_id" : "g78zvzoE8wJkciD9C"
},
{
"category" : "frozen",
"item" : 84721,
"desc" : "Fantastic Metal Hat",
"quantity" : "34",
"price" : "1.83",
"lineprice" : "62.22",
"_id" : "4aqxBWhXy5cabbbiM"
},
{
"category" : "frozen",
"item" : 72240,
"desc" : "Fantastic Granite Towels",
"quantity" : "1",
"price" : "2.94",
"lineprice" : "2.94",
"_id" : "MQD2LNv36mE3BWvZJ"
},
{
"category" : "chilled",
"item" : 89448,
"desc" : "Intelligent Concrete Towels",
"quantity" : "6678",
"price" : "0.42",
"lineprice" : "2804.76",
"_id" : "AjRrxFT4mfpxuciC4"
},
{
"category" : "chilled",
"item" : 57584,
"desc" : "Unbranded Soft Chicken",
"quantity" : "1111",
"price" : "4.69",
"lineprice" : "5210.59",
"_id" : "4yBspve6mBNNzqDnZ"
}
]
}
质疑
我最终想要的是输出过去7天每天的总价格。有人能帮我指出正确的方向吗?非常感谢。首先,运算符将忽略非数字值,productsInOrder.price
子文档字段为字符串类型,因此最好将其转换为数字字段
完成此操作后,要输出过去7天内每天的总价格,请将group by key更改为使用操作符,该操作符可在该7天范围内每天对文档进行分组,如下所示
Orders.aggregate([
{ "$match": { "createdAt": { "$gt": pastDate } } },
{ "$unwind": "$productsInOrder" },
{
"$group": {
"_id": {
"day": { "$dayOfMonth": "$createdAt" }
},
"price": { "$sum": "$productsInOrder.price" }
}
}
]);
你知道你的
price
字段是一个字符串吗?@chridam不,我没有!谢谢你指出这一点out@chridam现在我已经纠正了这个问题,我可以得到所有价格的总和,所以感谢指针。有没有一种方法可以分别输出过去7天的总数,或者我必须为每个条件运行多个查询?没有,您不必为每个条件运行多个查询,只需更改group by键以使用运算符\u id:{day:{$dayOfMonth:createdAt}
在这7天的范围内,每天将哪些文档分组。@chridam谢谢你,我开始很好地理解这一点了,谢谢你的评论。如果你想把这作为答案,我给你打分。
Orders.aggregate([
{ "$match": { "createdAt": { "$gt": pastDate } } },
{ "$unwind": "$productsInOrder" },
{
"$group": {
"_id": {
"day": { "$dayOfMonth": "$createdAt" }
},
"price": { "$sum": "$productsInOrder.price" }
}
}
]);