I'm currently trying to massage out counts from the mLab API for reasons I don't have control over. So I want to grab the data I need from there in one query so I can limit the amount of API calls.
我目前正试图从mLab API中按下计数,原因是我无法控制。所以我想在一个查询中从那里获取我需要的数据,这样我就可以限制API调用的数量。
Assuming that my data looks like this:
假设我的数据如下所示:
{
"_id": {
"$oid": "12345"
},
"dancer": "Beginner",
"pirate": "Advanced",
"chef": "Mid",
"beartamer": "Mid",
"swordsman": "Mid",
"total": "Mid"
}
I know I can do 6 queries with something similar to:
我知道我可以用以下类似的东西做6个查询:
db.score.aggregate({"$group": { _id: {"total":"$total"}, count: {$sum:1} }} )
but how do I query to get the count for each key? I'd like to see something akin to:
但是如何查询以获取每个键的计数?我想看到类似于:
{ "_id" : { "total" : "Advanced" }, "count" : 1 }
{ "_id" : { "total" : "Mid" }, "count" : 1 }
{ "_id" : { "total" : "Beginner" }, "count" : 4 }
{ "_id" : { "pirate" : "Advanced" }, "count" : 1 }
//...etc
1 个解决方案
#1
2
The following should give you precisely what you want:
以下内容应该准确地给你你想要的东西:
db.scores.aggregate({
$project: {
"_id": 0 // get rid of the "_id" field since we do not want to count it
}
}, {
$project: {
"doc": {
$objectToArray: "$$ROOT" // transform all documents into key-value pairs
}
}
}, {
$unwind: "$doc" // flatten the resulting array into separate documents
}, {
$group: {
"_id": "$doc", // group by distinct key-value combination
"count": { $sum: 1 } // count documents per bucket
}
}, {
$project: {
"_id": { // some more transformation magic to recreate the desired output structure
$mergeObjects: [
{ $arrayToObject: [ [ "$_id" ] ] },
{ "count": "$count" }
]
},
}
}, {
$replaceRoot: {
"newRoot": "$_id" // this moves the contents of the "_id" field to the root of the documents
}
})
#1
2
The following should give you precisely what you want:
以下内容应该准确地给你你想要的东西:
db.scores.aggregate({
$project: {
"_id": 0 // get rid of the "_id" field since we do not want to count it
}
}, {
$project: {
"doc": {
$objectToArray: "$$ROOT" // transform all documents into key-value pairs
}
}
}, {
$unwind: "$doc" // flatten the resulting array into separate documents
}, {
$group: {
"_id": "$doc", // group by distinct key-value combination
"count": { $sum: 1 } // count documents per bucket
}
}, {
$project: {
"_id": { // some more transformation magic to recreate the desired output structure
$mergeObjects: [
{ $arrayToObject: [ [ "$_id" ] ] },
{ "count": "$count" }
]
},
}
}, {
$replaceRoot: {
"newRoot": "$_id" // this moves the contents of the "_id" field to the root of the documents
}
})