I have the following document
{
"_id": "57b4c5f0291ebb13110b888e",
"first": "John",
"last": "Smith",
"email": "John.Smith#gmail.com",
"fulfillments": [
{
"_id": "57b683e531a5a21679b78e6d",
"created_by_name": "John Smith",
"created_by_id": "57b4c5f0291ebb23110b888e",
"fulfilled_by_name": "John Smith",
"fulfilled_by_id": "57b4c5f0291ebb13110b888e",
"date": new Date("2016-08-23T13:58:15-0700")
}
]
}
For which I have a mongo query that I want to just return the list of fulfillments that have not already occured. This means that the date property on the fulfillment embedded document is greater than the current time.
db.users.aggregate([
{ $match : { "_id" : "57b4c5f0291ebb13110b888e" } },
{ $project : {
"fulfillments" : {
$filter : {
"input" : "$fulfillments",
"as" : "item",
"cond" : ...SOMETHING HERE TO FILTER ON 'date'
}
}
}
},
{ $unwind : "$fulfillments" },
{ $project : {
"created_by_name" : "$fulfillments.created_by_name",
"created_by_id" : "$fulfillments.created_by_id",
"fulfilled_by_name" : "$fulfillments.fulfilled_by_name",
"fulfilled_by_id" : "$fulfillments.fulfilled_by_id",
"date" : "$fulfillments.date"
}
}
])
I can't figure out what the proper way is to filter on only fulfillments that the date has not already occured.
The following should give you the desired result
...
$project : {
"fulfillments" : {
$filter : {
"input" : "$fulfillments",
"as" : "item",
"cond" : { $gt: [ "$$item.date", new Date() ] }
}
}
}
...
Related
i have mongo db collection the follwing structure
{
{
"_id" : ObjectId("63e37afe7a3453d5014c011b"),
"schemaVersion" : NumberInt(1),
"Id" : "ObjectId("63e37afe7a3453d5014c0112")",
"Id1" : "ObjectId("63e37afe7a3453d5014c0113")",
"Id2" : "ObjectId("63e37afe7a3453d5014c0114")",
"collectionName" : "Country",
"List" : [
{
"countryId" : NumberInt(1),
"name" : "Afghanistan",
},{
"countryId" : NumberInt(1),
"name" : "India",
},
{
"countryId" : NumberInt(1),
"name" : "USA",
}
}
i need to match the value with id, id1, id2, collectionName and name in the list to get country id for example if match the below value
"Id" : "ObjectId("63e37afe7a3453d5014c0112")",
"Id1" : "ObjectId("63e37afe7a3453d5014c0113")",
"Id2" : "ObjectId("63e37afe7a3453d5014c0114")",
"collectionName" : "Country",
"name" : "Afghanistan",
i need result
{
"countryId" : 1,
"name" : "Afghanistan",
}
i tried like below
db.country_admin.aggregate([
{ $match: { collectionName: "Country" } },
{ $unwind : '$countryList' },
{ $project : { _id : 0, 'countryList.name' : 1, 'countryList.countryId' : 1 } }
]).pretty()
and i have following output
[
{
"List" : {
"countryId" : 1.0,
"name" : "Afghanistan"
}
},
{
"List" : {
"countryId" : 2.0,
"name" : "india"
}
},
{
"List" : {
"countryId" : 3.0,
"name" : "USA"
}
}]```
You can try using $filter to avoid $unwind like this example:
First $match by your desired condition(s).
Then $filter and get the first element (as "List.name": "Afghanistan" is used into $match stage there will be at least one result).
And output only values you want using $project.
db.collection.aggregate([
{
"$match": {
"Id": ObjectId("63e37afe7a3453d5014c0112"),
"Id1": ObjectId("63e37afe7a3453d5014c0113"),
"Id2": ObjectId("63e37afe7a3453d5014c0114"),
"collectionName": "Country",
"List.name": "Afghanistan",
}
},
{
"$project": {
"country": {
"$arrayElemAt": [
{
"$filter": {
"input": "$List",
"cond": {
"$eq": [
"$$this.name",
"Afghanistan"
]
}
}
},
0
]
}
}
},
{
"$project": {
"_id": 0,
"countryId": "$country.countryId",
"name": "$country.name"
}
}
])
Example here
By the way, using $unwind is also possible and you can check this example
Below is the document which has an array name datum and I want to filter the records based on StatusCode, group by Year and sum the amount value from the recent record of distinct Types.
{
"_id" : ObjectId("5fce46ca6ac9808276dfeb8c"),
"year" : 2018,
"datum" : [
{
"StatusCode" : "A",
"Type" : "1",
"Amount" : NumberDecimal("100"),
"Date" : ISODate("2018-05-30T00:46:12.784Z")
},
{
"StatusCode" : "A",
"Type" : "1",
"Amount" : NumberDecimal("300"),
"Date" : ISODate("2023-05-30T00:46:12.784Z")
},
{
"StatusCode" : "A",
"Type" : "2",
"Amount" : NumberDecimal("420"),
"Date" : ISODate("2032-05-30T00:46:12.784Z")
},
{
"StatusCode" : "B",
"Type" : "2",
"Amount" : NumberDecimal("420"),
"Date" : ISODate("2032-05-30T00:46:12.784Z")
}
]
}
In my case following is the expected result :
{
Total : 720
}
I want to achieve the result in the following aggregate Query pattern
db.collection.aggregate([
{
$addFields: {
datum: {
$reduce: {
input: "$datum",
initialValue: {},
"in": {
$cond: [
{
$and: [
{ $in: ["$$this.StatusCode", ["A"]] }
]
},
"$$this",
"$$value"
]
}
}
}
}
},
{
$group: {
_id: "$year",
RecentValue: { $sum: "$datum.Amount" }
}
}
])
You can first $unwind the datum array. Do the filtering and sort by the date. Then get the record with latest datum by a $group. Finally do another $group to calculate the sum.
Here is a mongo playground for your reference.
I have the following aggregation which has a date comparison where I only want to grab documents that have the $$item.date less than the current time.
[
{ $match : { "_id" : "57b4c5f0291ebb13110b888e" } },
{ $project : {
"fulfillments" : {
$filter : {
"input" : "$fulfillments",
"as" : "item",
"cond" : { "$gte" : ["$$item.date","new Date()"]}
}
}
}
},
...
...
]
The important part that I have a question about above is the following:
"cond" : { "$gte" : ["$$item.date","new Date()"]}
This doesn't seem to be working as I can change the new Date() to 1 or 0 or pretty much any value and it still returns all documents. I need it to only return documents that have the date greater than or equal to the current date.
For example, given the following document
{
"_id": "57b4c5f0291ebb13110b888e",
"fulfillments": [
{
"_id": "582deb33bb117300010a2ae5",
"date": new Date("2016-11-23T17:00:00-0700"),
},
{
"_id": "582deb33bdf17300010a2ae5",
"date": new Date("2017-11-23T17:00:00-0700"),
}
}
Only the following fulfillment should be returned because it is 2017-11-23
{
"_id": "582deb33bdf17300010a2ae5",
"date": new Date("2017-11-23T17:00:00-0700"),
}
Update
There is question if I am giving an accurate document strucutre, so I included a screenshot below to validate this.
If you just want the current time on the machine just remove the " from the query, see below for my example
> db.test.find().pretty()
{
"_id" : "57b4c5f0291ebb13110b888e",
"fulfillments" : [
{
"_id" : "582deb33bb117300010a2ae5",
"date" : ISODate("2016-11-24T00:00:00Z")
},
{
"_id" : "582deb33bdf17300010a2ae5",
"date" : ISODate("2017-11-24T00:00:00Z")
}
]
}
>
> db.test.aggregate([
... { $match : { "_id" : "57b4c5f0291ebb13110b888e" } },
... { $project : {
... "fulfillments" : {
... $filter : {
... "input" : "$fulfillments",
... "as" : "item",
... "cond" : { "$gte" : ["$$item.date",new Date()]}
... }
... }
... }
... }
... ]).pretty()
{
"_id" : "57b4c5f0291ebb13110b888e",
"fulfillments" : [
{
"_id" : "582deb33bdf17300010a2ae5",
"date" : ISODate("2017-11-24T00:00:00Z")
}
]
}
>
(Mongo newbie here, sorry) I have a mongodb collection, result of a mapreduce with this schema :
{
"_id" : "John Snow",
"value" : {
"countTot" : 500,
"countCall" : 30,
"comment" : [
{
"text" : "this is a text",
"date" : 2016-11-17 00:00:00.000Z,
"type" : "call"
},
{
"text" : "this is a text",
"date" : 2016-11-12 00:00:00.000Z,
"type" : "visit"
},
...
]
}
}
My goal is to have a document containing all the comments of a certain type. For example, a document John snow with all the calls.
I manage to have all the comments for a certain type using this :
db.general_stats.aggregate(
{ $unwind: '$value.comment' },
{ $match: {
'value.comment.type': 'call'
}}
)
However, I can't find a way to group the data received by the ID (for example john snow) even using the $group property. Any idea ?
Thanks for reading.
Here is the solution for your query.
db.getCollection('calls').aggregate([
{ $unwind: '$value.comment' },
{ $match: {
'value.comment.type': 'call'
}},
{
$group : {
_id : "$_id",
comment : { $push : "$value.comment"},
countTot : {$first : "$value.countTot"},
countCall : {$first : "$value.countCall"},
}
},
{
$project : {
_id : 1,
value : {"countTot":"$countTot","countCall":"$countCall","comment":"$comment"}
}
}
])
or either you can go with $project with $filter option
db.getCollection('calls').aggregate([
{
$project: {
"value.comment": {
$filter: {
input: "$value.comment",
as: "comment",
cond: { $eq: [ "$$comment.type", 'call' ] }
}
},
"value.countTot":"$value.countTot",
"value.countCall":"$value.countCall",
}
}
])
In both case below is my output.
{
"_id" : "John Snow",
"value" : {
"countTot" : 500,
"countCall" : 30,
"comment" : [
{
"text" : "this is a text",
"date" : "2016-11-17 00:00:00.000Z",
"type" : "call"
},
{
"text" : "this is a text 2",
"date" : "2016-11-17 00:00:00.000Z",
"type" : "call"
}
]
}
}
Here is the query which is the extension of the one present in OP.
db.general_stats.aggregate(
{ $unwind: '$value.comment' },
{ $match: {
'value.comment.type': 'call'
}},
{$group : {_id : "$_id", allValues : {"$push" : "$$ROOT"}}},
{$project : {"allValues" : 1, _id : 0} },
{$unwind : "$allValues" }
);
Output:-
{
"allValues" : {
"_id" : "John Snow",
"value" : {
"countTot" : 500,
"countCall" : 30,
"comment" : {
"text" : "this is a text",
"date" : ISODate("2016-11-25T10:46:49.258Z"),
"type" : "call"
}
}
}
}
Got my answer looking at this :
How to retrieve all matching elements present inside array in Mongo DB?
using the $addToSet property in the $group one.
{
_id:1, members: [
{
name:"John",
status:"A"
},
{
name:"Alex",
status:"D"
},
{
name:"Jack",
status:"A"
},
{
name:"Robin",
status:"D"
}
]}
That is Channel document.
Now I need to count all elements in members array where status equal to 'A'.
For example the above doc has 2 members with status 'A'.
How can I achieve this?
You can use mongodb-count to achieve the desired result.
Returns the count of documents that would match a find() query. The db.collection.count() method does not perform the find() operation but instead counts and returns the number of results that match a query.
So your query will be
var recordcount = db.collName.count({"members.status":"A"});
Now recordCount will be number of records that matches {"members.status":"A"} query.
Here Is your Json file
{
"_id" : ObjectId("575915653b3cc43fca1fca4c"),
"members" : [
{
"name" : "John",
"status" : "A"
},
{
"name" : "Alex",
"status" : "D"
},
{
"name" : "Jack",
"status" : "A"
},
{
"name" : "Robin",
"status" : "D"
}
]
}
And you want to the count of all elements in members array where
status equal to 'A'.
you have to try this one to find out your count
db.CollectionName.aggregate([{
"$project": {
"members": {
"$filter": {
"input": "$members",
"as": "mem",
"cond": {
"$eq": ["$$mem.status", "A"]
}
}
}
}
}, {
"$project": {
"membersize": {
"$size": "$members"
}
}
}]).pretty()
And you found your answer is like that { "_id" :
ObjectId("575915653b3cc43fca1fca4c"), "membersize" : 2 }
try this one for old version......
db.CollectionName.aggregate([{"$unwind":"$members"},{"$match":{"members.status":"A"}},{"$group":{_id:"$_id","memberscount":{"$sum":1}}}]).pretty()
{ "_id" : ObjectId("575915653b3cc43fca1fca4c"), "memberscount" : 2 }
Here Is your Json file
{
"_id" : ObjectId("575915653b3cc43fca1fca4c"),
"members" : [
{
"name" : "John",
"status" : "A"
},
{
"name" : "Alex",
"status" : "D"
},
{
"name" : "Jack",
"status" : "A"
},
{
"name" : "Robin",
"status" : "D"
}
]
}
And you want to the count of all elements in members array where
status equal to 'A'.
you have to try this one to find out your count
db.CollectionName.aggregate([{
"$project": {
"members": {
"$filter": {
"input": "$members",
"as": "mem",
"cond": {
"$eq": ["$$mem.status", "A"]
}
}
}
}
}, {
"$project": {
"membersize": {
"$size": "$members"
}
}
}]).pretty()
And you found your answer is like that { "_id" :
ObjectId("575915653b3cc43fca1fca4c"), "membersize" : 2 }