如何过滤来自 mongoDB 的响应,以便嵌套数组只包含满足条件的项目?
How to filter the response from mongoDB, so nested arrays will include only items that meet a condition?
我的文档是这样的
{
"_id": {
"$oid": "62825f71005ce00c5f0235c1"
},
"user": "jon",
"roles": {
"User": 2001,
},
"STOCK ": [
{
"sku": "BLACK-M",
"productname": "BLACK",
"sendout": 0,
"recived": 1,
"totalinstock": 40,
"location": "B32",
"_id": {
"$oid": "62826016005ce00c5f0235c8"
}
},
{
"sku": "CJNS",
"productname": "89796363",
"sendout": 0,
"recived": 45,
"totalinstock": 0,
"location": "B232",
"_id": {
"$oid": "62836f2d56b4f1ac79c99b8d"
}
}
],
"ORDERS": [
{
"date": {
"$date": "2022-06-02T15:23:58Z"
},
"OrderNumber": "745607",
"City": "xxxxx",
"Address": "yyyyyy",
"Phone": "8678678678",
"Name": "Holly ",
"Trackingnumber": 40,
"ZipCode": 00000,
"Province": "New ",
"Quantity": [
1
],
"Product_Name": [
" pants pants"
],
"SKU": [
"CJNS"
],
"_id": {
"$oid": "6298d61ba6eeec72b78332a7"
}
},
{
"date": {
"$date": "2022-06-02T15:23:58Z"
},
"OrderNumber": "748840",
"City": "xxxxx",
"Address": "yyyyyy",
"Phone": "354353454",
"Name": "Michael",
"Trackingnumber": 0,
"ZipCode": 00000,
"Province": "North",
"Quantity": [
1
],
"Product_Name": [
" pants pants"
],
"SKU": [
"CJNS"
],
"_id": {
"$oid": "6298d61ba6eeec72b78332a9"
}
}
]
}
我成功returnSTOCK中的所有对象或ORDERS中的所有对象
通过这个查询
const foundUser= await User.find({"user":req.body.user},("Orders") ).exec()
现在我想过滤响应以仅包含“Trackingnumber”不同于 0 的项目
对于我希望收到的示例数据
{
"date": {
"$date": "2022-06-02T15:23:58Z"
},
"OrderNumber": "748840",
"City": "xxxxx",
"Address": "yyyyyy",
"Phone": "354353454",
"Name": "Michael",
"Trackingnumber": 0,
"ZipCode": 00000,
"Province": "North",
"Quantity": [
1
],
"Product_Name": [
" pants pants"
],
"SKU": [
"CJNS"
],
"_id": {
"$oid": "6298d61ba6eeec72b78332a9"
}
}
为此,您可以使用带有 $filer
的聚合管道:
db.collection.aggregate([
{
$match: {
"user": "jon"
}
},
{
$project: {
ORDERS: {
$filter: {
input: "$ORDERS",
as: "item",
cond: {$ne: ["$$item.Trackingnumber", 0]}
}
}
}
}
])
User.find({"订单": {"跟踪号": 0}})
我的文档是这样的
{
"_id": {
"$oid": "62825f71005ce00c5f0235c1"
},
"user": "jon",
"roles": {
"User": 2001,
},
"STOCK ": [
{
"sku": "BLACK-M",
"productname": "BLACK",
"sendout": 0,
"recived": 1,
"totalinstock": 40,
"location": "B32",
"_id": {
"$oid": "62826016005ce00c5f0235c8"
}
},
{
"sku": "CJNS",
"productname": "89796363",
"sendout": 0,
"recived": 45,
"totalinstock": 0,
"location": "B232",
"_id": {
"$oid": "62836f2d56b4f1ac79c99b8d"
}
}
],
"ORDERS": [
{
"date": {
"$date": "2022-06-02T15:23:58Z"
},
"OrderNumber": "745607",
"City": "xxxxx",
"Address": "yyyyyy",
"Phone": "8678678678",
"Name": "Holly ",
"Trackingnumber": 40,
"ZipCode": 00000,
"Province": "New ",
"Quantity": [
1
],
"Product_Name": [
" pants pants"
],
"SKU": [
"CJNS"
],
"_id": {
"$oid": "6298d61ba6eeec72b78332a7"
}
},
{
"date": {
"$date": "2022-06-02T15:23:58Z"
},
"OrderNumber": "748840",
"City": "xxxxx",
"Address": "yyyyyy",
"Phone": "354353454",
"Name": "Michael",
"Trackingnumber": 0,
"ZipCode": 00000,
"Province": "North",
"Quantity": [
1
],
"Product_Name": [
" pants pants"
],
"SKU": [
"CJNS"
],
"_id": {
"$oid": "6298d61ba6eeec72b78332a9"
}
}
]
}
我成功returnSTOCK中的所有对象或ORDERS中的所有对象 通过这个查询
const foundUser= await User.find({"user":req.body.user},("Orders") ).exec()
现在我想过滤响应以仅包含“Trackingnumber”不同于 0 的项目
对于我希望收到的示例数据
{
"date": {
"$date": "2022-06-02T15:23:58Z"
},
"OrderNumber": "748840",
"City": "xxxxx",
"Address": "yyyyyy",
"Phone": "354353454",
"Name": "Michael",
"Trackingnumber": 0,
"ZipCode": 00000,
"Province": "North",
"Quantity": [
1
],
"Product_Name": [
" pants pants"
],
"SKU": [
"CJNS"
],
"_id": {
"$oid": "6298d61ba6eeec72b78332a9"
}
}
为此,您可以使用带有 $filer
的聚合管道:
db.collection.aggregate([
{
$match: {
"user": "jon"
}
},
{
$project: {
ORDERS: {
$filter: {
input: "$ORDERS",
as: "item",
cond: {$ne: ["$$item.Trackingnumber", 0]}
}
}
}
}
])
User.find({"订单": {"跟踪号": 0}})