Reputation: 309
I have a mongo collection with something like the below:
{
"_id" : ObjectId("59e013e83260c739f029ee21"),
"createdAt" : ISODate("2017-10-13T01:16:24.653+0000"),
"updatedAt" : ISODate("2017-11-11T17:13:52.956+0000"),
"age" : NumberInt(34),
"attributes" : [
{
"year" : "2017",
"contest" : [
{
"name" : "Category1",
"division" : "Department1"
},
{
"name" : "Category2",
"division" : "Department1"
}
]
},
{
"year" : "2016",
"contest" : [
{
"name" : "Category2",
"division" : "Department1"
}
]
},
{
"year" : "2015",
"contest" : [
{
"name" : "Category1",
"division" : "Department1"
}
]
}
],
"name" : {
"id" : NumberInt(9850214),
"first" : "john",
"last" : "afham"
}
}
now how could i get the number of documents who have contest with name category1 more than one time or more than 2 times ... and so on
I tried to use size and $gt but couldn't form a correct result
Upvotes: 0
Views: 64
Reputation: 10918
Assuming that a single contest
will never contain the same name
(e.g. "Category1") value more than once, here is what you can do.
The absence of any unwind
s will result in improved performance in particular on big collections or data sets with loads of entries in your attributes
arrays.
db.collection.aggregate({
$project: {
"numberOfOccurrences": {
$size: { // count the number of matching contest elements
$filter: { // get rid of all contest entries that do not contain at least one entry with name "Category1"
input: "$attributes",
cond: { $in: [ "Category1", "$$this.contest.name" ] }
}
}
}
}
}, {
$match: { // filter the number of documents
"numberOfOccurrences": {
$gt: 1 // put your desired min. number of matching contest entries here
}
}
}, {
$count: "numberOfDocuments" // count the number of matching documents
})
Upvotes: 2
Reputation: 1288
First, we need to flatten the document by the attributes and contest fields. Then to group by the document initial _id and a contest names counting different contests along the way. Finally, we filter the result.
db.person.aggregate([
{ $unwind: "$attributes" },
{ $unwind: "$attributes.contest" },
{$group: {
_id: {initial_id: "$_id", contest: "$attributes.contest.name"},
count: {$sum: 1}
}
},
{$match: {$and: [{"_id.contest": "Category1"}, {"count": {$gt: 1}}]}}]);
Upvotes: 0
Reputation: 7558
Try this on for size.
db.foo.aggregate([
// Start with breaking down attributes:
{$unwind: "$attributes"}
// Next, extract only name = Category1 from the contest array. This will yield
// an array of 0 or 1 because I am assuming that contest names WITHIN
// the contest array are unique. If found and we get an array of 1, turn that
// into a single doc instead of an array of a single doc by taking arrayElemAt 0.
// Otherwise, "x" is not set into the doc AT ALL. All other vars in the doc
// will go away after $project; if you want to keep them, change this to
// $addFields:
,{$project: {x: {$arrayElemAt: [ {$filter: {
input: "$attributes.contest",
as: "z",
cond: {$eq: [ "$$z.name", "Category1" ]}
}}, 0 ]}
}}
// We split up attributes before, creating multiple docs with the same _id. We
// must now "recombine" these _id (OP said he wants # of docs with name).
// We now have to capture all the single "x" that we created above; docs without
// Category1 will have NO "x" and we don't want to include them in the count.
// Also, we KNOW that name can only be Category 1 but division could vary, so
// let's capture that in the $push in case we might want it:
,{$group: {_id: "$_id", x: {$push: "$x.division"}}}
// One more pass to compute length of array:
,{$addFields: {len: {$size: "$x"}} }
// And lastly, the filter for one time or two times or n times:
,{$match: {len: {$gt: 2} }}
]);
Upvotes: 0