我有这个json响应结构：
{
"_id": "5947e320d0f00f1794c87772",
"selected_product": "5947e320d0f00f1794c87774",
"sign_in_label": {
"value": "Sign In",
"translation": [
{
"code": "en",
"value": "Sign In"
}
]
},
"have_account_label": {
"value": "Already have an account",
"translation": [
{
"code": "en",
"value": "Already have an account"
}
]
},
"sign_up_label": {
"value": "Sign Up",
"translation": [
{
"code": "en",
"value": "Sign Up"
}
]
},
"products": [
{
"value": "Simple Membership",
"_id": "5947e320d0f00f1794c87774",
"translation": [
{
"code": "en",
"value": "Simple Membership"
}
]
},
{
"value": "Credit Card",
"_id": "5947e320d0f00f1794c87773",
"translation": [
{
"code": "en",
"value": "Credit Card"
}
]
}
],
"applying_label": {
"value": "You're appliying for your",
"translation": [
{
"code": "en",
"value": "You're appliying for your"
}
]
},
"carousel_data": [
{
"image": "img1.png",
"text": {
"value": "Welcome to your digital banking",
"translation": [
{
"code": "en",
"value": "Welcome to your digital banking"
}
]
}
},
{
"image": "img1.png",
"text": {
"value": "Welcome to your digital banking",
"translation": [
{
"code": "en",
"value": "Welcome to your digital banking"
}
]
}
},
{
"image": "img1.png",
"text": {
"value": "Welcome to your digital banking",
"translation": [
{
"code": "en",
"value": "Welcome to your digital banking"
}
]
}
}
]
}
我需要使用mongoDB聚合将此json转换为基于转换代码的json结构＆＃34; en＆＃34;：
{
"_id": "5947e320d0f00f1794c87772",
"selected_product": "5947e320d0f00f1794c87774",
"sign_in_label": "Sign In",
"have_account_label": "Already have an account",
"sign_up_label": "Sign Up",
"products": [
{
"value": "Simple Membership",
"_id": "5947e320d0f00f1794c87774",
},
{
"value": "Credit Card",
"_id": "5947e320d0f00f1794c87773",
}
],
"applying_label": "You're appliying for your",
"carousel_data": [
{
"image": "img1.png",
"text": "Welcome to your digital banking"
},
{
"image": "img1.png",
"text": "Welcome to your digital banking"
},
{
"image": "img1.png",
"text": "Welcome to your digital banking"
}
]
}
我已尝试过这条管道，但我坚持使用产品和carousel_data：
var pipeline = [
{
$project: {
sign_in_label: {
$filter: {
input: "$sign_in_label.translation",
as: "sign_in_label",
cond: [{ $gte: [ "$sign_in_label.translation.code", "en" ] },
"$sign_in_label.translation.value",
false]
}
},
have_account_label: {
$filter: {
input: "$have_account_label.translation",
as: "have_account_label",
cond: [{ $gte: [ "$have_account_label.translation.code", "en" ] },
"$have_account_label.translation.value",
false]
}
},
sign_up_label: {
$filter: {
input: "$sign_up_label.translation",
as: "sign_up_label",
cond: [{ $gte: [ "$sign_up_label.translation.code", "en" ] },
"$sign_up_label.translation.value",
false]
}
},
applying_label: {
$filter: {
input: "$applying_label.translation",
as: "applying_label",
cond: [{ $gte: [ "$applying_label.translation.code", "en" ] },
"$applying_label.translation.value",
false]
}
},
carousel_data:{
$filter: {
input: "$carousel_data",
as: "carousel_data",
cond: [{ $gte: [ "$carousel_data.text.translation.code", "en" ] },
"$products.translation.value",
false]
}
}
}
},
{ $unwind: "$sign_in_label" },
{ $unwind: "$have_account_label"},
{ $unwind: "$sign_up_label"},
{ $unwind: "$applying_label"},
{ $group: {
_id: "$_id",
sign_in_label: {
$push: "$sign_in_label.value"
},
have_account_label: {
$push: "$have_account_label.value"
},
sign_up_label: {
$push: "$sign_up_label.value"
},
products: {
$push: "$products"
},
applying_label: {
$push: "$applying_label.value"
},
carousel_data:{
$push: "$carousel_data"
}
}},
{ $unwind: "$sign_in_label" },
{ $unwind: "$have_account_label"},
{ $unwind: "$sign_up_label"},
{ $unwind: "$products"},
{ $unwind: "$applying_label"},
{ $unwind: "$carousel_data"}
];
使用此管道我有以下回应：
{
"_id": "5947e320d0f00f1794c87772",
"sign_in_label": "Sign In",
"have_account_label": "Already have an account",
"sign_up_label": "Sign Up",
"products": [
{
"value": "Simple Membership",
"_id": "5947e320d0f00f1794c87774",
"translation": [
{
"code": "en",
"value": "Simple Membership"
}
]
},
{
"value": "Credit Card",
"_id": "5947e320d0f00f1794c87773",
"translation": [
{
"code": "en",
"value": "Credit Card"
}
]
}
],
"applying_label": "You're appliying for your",
"carousel_data": [
{
"image": "img1.png",
"text": {
"value": "Welcome to your digital banking",
"translation": [
{
"code": "en",
"value": "Welcome to your digital banking"
}
]
}
},
{
"image": "img1.png",
"text": {
"value": "Welcome to your digital banking",
"translation": [
{
"code": "en",
"value": "Welcome to your digital banking"
}
]
}
},
{
"image": "img1.png",
"text": {
"value": "Welcome to your digital banking",
"translation": [
{
"code": "en",
"value": "Welcome to your digital banking"
}
]
}
}
]
}
由于我是MongoDB的新手，我觉得我的管道错了。任何人都可以帮忙。
答案 0 :(得分：0)
你是从正确的轨道开始的，但是有些部分在第一时间难以理解，因此最好通过它们的每个功能来查看它们。
您的整个过程实际上只是一个$project，理想情况下，我认为您需要并且需要使用前面的$match来处理特定文档。由于所有内容都有“翻译”，因此每个字段的代码块基本相同：
*.txt让我们从缩进中解决：
$filter - 指向翻译数组，我们想要的只是语言的“平等”$eq匹配，这里是 "sign_in_label": {
"$ifNull": [
{ "$arrayElemAt": [
{ "$map": {
"input": {
"$filter": {
"input": "$sign_in_label.translation",
"as": "el",
"cond": { "$eq": [ "$$el.code", "en" ] }
}
},
"as": "el",
"in": "$$el.value"
}},
0
]},
"$sign_in_label.value"
]
},
。这会将已过滤的数组返回到：
$map - 这会将“已过滤”的内容作为输入，并基本上为每个匹配的数组成员返回内部"en"，然后将其提供给：
$arrayElemAt - 我们的“过滤”和“映射”数组只需要一个元素，并从数组中获取第一个元素，为了喂食：
$ifNull - 最终考虑从“已过滤”和“已映射”数组的“第一”位置提取的值。如果未找到此值，则它将为"value"，并将null属性替换为“默认值”。
这就是整个事情的组合方式，"value"和"products"数组只有一点差别，因为它们是数组，我们重新映射“内部”元素。
因此完整的管道是：
"carousel"将提供输出：
var pipeline = [
{ "$project": {
"sign_in_label": {
"$ifNull": [
{ "$arrayElemAt": [
{ "$map": {
"input": {
"$filter": {
"input": "$sign_in_label.translation",
"as": "el",
"cond": { "$eq": [ "$$el.code", "en" ] }
}
},
"as": "el",
"in": "$$el.value"
}},
0
]},
"$sign_in_label.value"
]
},
"have_account_label": {
"$ifNull": [
{ "$arrayElemAt": [
{ "$map": {
"input": {
"$filter": {
"input": "$have_account_label.translation",
"as": "el",
"cond": { "$eq": [ "$$el.code", "en" ] }
}
},
"as": "el",
"in": "$$el.value"
}},
0
]},
"$have_account_label.value"
]
},
"sign_up_label": {
"$ifNull": [
{ "$arrayElemAt": [
{ "$map": {
"input": {
"$filter": {
"input": "$sign_up_label.translation",
"as": "el",
"cond": { "$eq": [ "$$el.code", "en" ] }
}
},
"as": "el",
"in": "$$el.value"
}},
0
]},
"$sign_up_label.value"
]
},
"products": {
"$map": {
"input": "$products",
"as": "el",
"in": {
"_id": "$$el._id",
"value": {
"$ifNull": [
{ "$arrayElemAt": [
{ "$map": {
"input": {
"$filter": {
"input": "$$el.translation",
"as": "t",
"cond": { "$eq": [ "$$t.code", "en" ] }
}
},
"as": "t",
"in": "$$t.value"
}},
0
]},
"$$el.value"
]
}
}
}
},
"applying_label": {
"$ifNull": [
{ "$arrayElemAt": [
{ "$map": {
"input": {
"$filter": {
"input": "$applying_label.translation",
"as": "el",
"cond": { "$eq": [ "$$el.code", "en" ] }
}
},
"as": "el",
"in": "$$el.value"
}},
0
]},
"$applying_label.value"
]
},
"carosel_data": {
"$map": {
"input": "$carousel_data",
"as": "el",
"in": {
"image": "$$el.image",
"text": {
"$ifNull": [
{ "$arrayElemAt": [
{ "$map": {
"input": {
"$filter": {
"input": "$$el.text.translation",
"as": "t",
"cond": { "$eq": [ "$$t.code", "en" ] }
}
},
"as": "t",
"in": "$$t.value"
}},
0
]},
"$$el.text.value"
]
}
}
}
}
}}
];