我对目前的Aggregate表达式感到困惑和困惑，我希望在Mongo本身提供一些输入或解决方案。
来自Mongo的原始数据（简化为我现在需要的字段）：
[{
'status': 'Cancelled',
'CIC Package': 'Test Gallery Cafe',
},
{
'status': 'Completed',
'CIC Package': 'Design Thinking workshop'
},
{
'status': 'Tentative',
'CIC Package': 'Design Thinking workshop'
},
{
'status': 'Confirmed',
'CIC Package': 'Product / solution demonstration'
},
....etc
]
一般来说......有大约1000个记录，可能是8个CIC包＆＃39;具有不同的状态（已确认，已取消，暂定，已完成）以及我目前已排除的其他数据。
我正在寻找的最终结果是这样的：
[{
"_id" : "Test Gallery Café",
"package" : "Test Gallery Café",
"status" : [
{
"Cancelled": 1
},
{
"Completed": 1
}
]
},
{
"_id" : "Design Thinking workshop",
"package" : "Design Thinking workshop",
"status" : [
{
"Cancelled": 3
},
{
"Completed": 2
}
]
},
{
"_id" : "Product / solution demonstration",
"package" : "Product / solution demonstration",
"status" : [
{
"Completed": 10
},
{
"Cancelled": 3
},
{
"Confirmed": 1
}
]
}]
因此，在CIC package中我重命名为package的每个$group我想要计算数据集中存在的每个状态。状态和包裹不在我的控制之下，因此可以及时添加新的状态和包裹。它需要是一个充满活力的团体。
我到目前为止：
db.reportData.aggregate([
{
$project:
{
'CIC package': 1,
'Status': 1
}
}
,
{
$group:
{
_id: '$CIC package',
package:
{
$first: '$CIC package'
}
,
status:
{
$push: '$Status'
}
}
}
]).toArray()
导致了这样的事情：
[{
"_id" : "Test Gallery Café",
"package" : "Test Gallery Café",
"status" : [
"Cancelled",
"Completed"
]
},
{
"_id" : "Design Thinking workshop",
"package" : "Design Thinking workshop",
"status" : [
"Cancelled",
"Cancelled",
"Cancelled",
"Completed",
"Completed"
]
},
{
"_id" : "Product / solution demonstration",
"package" : "Product / solution demonstration",
"status" : [
"Completed",
"Completed",
"Cancelled",
"Processing",
"Cancelled",
"Cancelled",
"Completed",
"Completed",
"Completed",
"Completed",
"Completed",
"Completed",
"Completed",
"Completed",
"Completed",
"Tentative"
]
}]
这是一个更大的集合的小提取，但它是迄今为止的结果的一个很好的样本。
我在最后unwind之后尝试了group，它确实创建了我可能再次group的新记录，但我现在感到有些困惑。也许我做得不够好。
我想我差不多了，但我会喜欢一些意见。
有什么想法吗？
答案 0 :(得分：2)
你基本上似乎想要每种类型的“状态计数”，这是首先要对这些进行分组然后只计算对象的主要_id：
db.reportData.aggregate([
{ "$unwind": "$status" },
{ "$group": {
"_id": {
"_id": "$_id",
"package": "$package",
"status": "$status"
},
"count": { "$sum": 1 }
}},
{ "$group": {
"_id": "$_id._id",
"package": { "$first": "$_id.package" },
"status": {
"$push": {
"$cond": [
{ "$eq": [ "$_id.status", "Completed" ] },
{ "Completed": "$count" },
{ "$cond": [
{ "$eq": [ "$_id.status", "Cancelled" ] },
{ "Cancelled": "$count" },
{ "$cond": [
{ "$eq": [ "$_id.status", "Processing" ] },
{ "Processing": "$count" },
{ "Tentative": "$count" }
]}
]}
]
}
}
}}
])
或者只是对结果中的每个状态使用“type”字段保持通用：
db.reportData.aggregate([
{ "$unwind": "$status" },
{ "$group": {
"_id": {
"_id": "$_id",
"package": "$package",
"status": "$status"
},
"count": { "$sum": 1 }
}},
{ "$group": {
"_id": "$_id._id",
"package": { "$first": "$_id.package" },
"status": {
"$push": {
"type": "$_id.status",
"count": "$count"
}
}
}}
])
这会给你这样的结果：
{
"_id" : "Test Gallery Café",
"package" : "Test Gallery Café",
"status" : [
{
"type" : "Completed",
"count" : 1
},
{
"type" : "Cancelled",
"count" : 1
}
]
}
{
"_id" : "Design Thinking workshop",
"package" : "Design Thinking workshop",
"status" : [
{
"type" : "Completed",
"count" : 2
},
{
"type" : "Cancelled",
"count" : 3
}
]
}
{
"_id" : "Not specified",
"package" : "Not specified",
"status" : [
{
"type" : "Processing",
"count" : 1
},
{
"type" : "Tentative",
"count" : 1
},
{
"type" : "Cancelled",
"count" : 3
},
{
"type" : "Completed",
"count" : 11
}
]
}
在使用$filter的MongoDB的未来版本中，这会有所改善：
db.reportData.aggregate([
{ "$project": {
"package": 1,
"statusComplete": {
"$size": {
"$filter": {
"input": "$status",
"as": "el",
"cond": {
"$eq": [ "$$el", "Completed" ]
}
}
}
},
"statusCancelled": {
"$size": {
"$filter": {
"input": "$status",
"as": "el",
"cond": {
"$eq": [ "$$el", "Cancelled" ]
}
}
}
}
}}
])
因为它基本上是关于“计算数组中匹配的元素”，并且可以扩展最后一个实际产生与前者相同的数组结果，由于没有$unwind而导致开销更少。但当然这还没有发布，但它只是你将来能够做的一个例子。
同样为了记录，改变前原始帖子中提供的数据是：
{
"_id" : "Test Gallery Café",
"package" : "Test Gallery Café",
"status" : [
"Cancelled",
"Completed"
]
}
{
"_id" : "Design Thinking workshop",
"package" : "Design Thinking workshop",
"status" : [
"Cancelled",
"Cancelled",
"Cancelled",
"Completed",
"Completed"
]
}
{
"_id" : "Not specified",
"package" : "Not specified",
"status" : [
"Completed",
"Completed",
"Cancelled",
"Processing",
"Cancelled",
"Cancelled",
"Completed",
"Completed",
"Completed",
"Completed",
"Completed",
"Completed",
"Completed",
"Completed",
"Completed",
"Tentative"
]
}
答案 1 :(得分：1)
好，
在Blakes Seven的帮助下，我来解决方案。 以下查询似乎有效，并且基于我在第一个问题中发布的起始数据集。添加最后添加2组以创建我想要的结果。
db.reportData.aggregate([
{
$project: {
'CIC package': 1,
'Start Date': 1,
'Status': 1
}
},
{
$group: {
_id: '$CIC package',
package: {
$first: '$CIC package'
},
status: {
$push: '$Status'
}
}
},
{
$unwind: '$status'
},
{
$group:
{
_id:
{
"_id": "$_id",
"package": "$package",
"status": "$status"
},
package: {
$first: '$package'
},
status: {
$first: '$status'
},
count:{
$sum: 1
}
}
},
{
$group:
{
_id: "$_id._id",
package: {
$first: "$_id.package"
},
status:
{
$push:
{
"status" : "$_id.status",
"count": '$count'
}
}
}
}
]).toArray()
它会生成如下数据集：
[
{
"_id" : "Studio Canal",
"package" : "Studio Canal",
"status" : [
{
"status" : "Completed",
"count" : 8
},
{
"status" : "Cancelled",
"count" : 2
}
]
},
{
"_id" : "Meeting / forum",
"package" : "Meeting / forum",
"status" : [
{
"status" : "Cancelled",
"count" : 254
},
{
"status" : "Completed",
"count" : 275
},
{
"status" : "Processing",
"count" : 6
},
{
"status" : "Tentative",
"count" : 1
},
{
"status" : "Confirmed",
"count" : 6
}
]
},
{
"_id" : "Design Thinking workshop",
"package" : "Design Thinking workshop",
"status" : [
{
"status" : "Cancelled",
"count" : 2
}
]
},
{
"_id" : "Test Gallery Café",
"package" : "Test Gallery Café",
"status" : [
{
"status" : "Cancelled",
"count" : 1
},
{
"status" : "Completed",
"count" : 1
}
]
},
{
"_id" : "Not specified",
"package" : "Not specified",
"status" : [
{
"status" : "Completed",
"count" : 124
},
{
"status" : "Tentative",
"count" : 1
},
{
"status" : "Cancelled",
"count" : 42
},
{
"status" : "Confirmed",
"count" : 4
},
{
"status" : "Processing",
"count" : 5
}
]
},
{
"_id" : "Customer / partner / special event",
"package" : "Customer / partner / special event",
"status" : [
{
"status" : "Tentative",
"count" : 1
},
{
"status" : "Cancelled",
"count" : 145
},
{
"status" : "Processing",
"count" : 3
},
{
"status" : "Completed",
"count" : 284
},
{
"status" : "Confirmed",
"count" : 8
}
]
},
{
"_id" : "Product / solution demonstration",
"package" : "Product / solution demonstration",
"status" : [
{
"status" : "Tentative",
"count" : 1
},
{
"status" : "Confirmed",
"count" : 4
},
{
"status" : "Cancelled",
"count" : 82
},
{
"status" : "Completed",
"count" : 130
},
{
"status" : "Processing",
"count" : 1
}
]
}
]
这就是我要找的东西。我现在必须检查数据是否正确但它看起来像。 现在唯一的问题是可以/我应该优化它。也许是明天的事情。