db.getCollection("analytics").aggregate(
[
{
"$match" : {
"uID" : {
"$in" : [
"202003008",
"20200306"
]
},
"midNightTimeStamp" : {
"$gte" : ISODate("2022-03-26T18:30:00.000+0000")
}
}
},
{
"$group" : {
"_id" : "$midNightTimeStamp",
"energyConsumed" : {
"$sum" : "$energyConsumed"
},
}
},
{
"$project" : {
"midNightTimeStamp" : 1.0, // I also want to project with a different name.
"energyConsumed" : 1.0
}
}
],
{
"allowDiskUse" : false
}
);
As shown in the above query I want to project a field as midNightTimeStamp which is same as _id (accumulator object) so that when I receive the documents, I get it something as
{
midNightTimeStamp: ISODate("2022-03-26T18:30:00.000+0000"),
energyConsumed: 100
}
If I've understood correctly you only need to do this:
{
"$project" : {
"_id": 0, // Not output the "real" _id
"midNightTimeStamp" : "$_id", // output _id value with name "midNightTimeStamp"
"energyConsumed" : 1.0
}
}
Example here
It can be achieved by adding a field in project stage as
"$project" : {
"_id" : 0.0,
"midNightTimeStamp" : "$_id", // This will be added.
"energyConsumed" : 1.0
}
Which will result to the following query:
db.getCollection("analytics").aggregate(
[
{
"$match" : {
"uID" : {
"$in" : [
"202003008",
"20200306"
]
},
"midNightTimeStamp" : {
"$gte" : ISODate("2022-03-26T18:30:00.000+0000")
}
}
},
{
"$group" : {
"_id" : "$midNightTimeStamp",
"energyConsumed" : {
"$sum" : "$energyConsumed"
}
}
},
{
"$project" : {
"_id" : 0.0,
"midNightTimeStamp" : "$_id",
"energyConsumed" : 1.0
}
}
],
{
"allowDiskUse" : false
}
);
Related
does anyone know how to change a propertie value in mongo
from
i changed JSON.units[0].services[0].label from etiket controle to AuditLabel
i tried this:
db.getCollection('assortiment').updateMany({"units.$[].services.$[].label": "etiket controle"},{ "$set": { "units.$[].services.$[].label": "AuditLabel" }})
but no succes because it dont select anything
{
"_id" : "764",
"meta" : {
"groupsId" : "764",
"type" : "DRYGR"
},
"units" : [
{
"unit" : "BASE_UNIT_OR_EACH",
"gtin" : "08711728556206",
"services" : [
{
"label" : "etiket controle",
"collection" : "gtins"
}
]
}
]
}
to
{
"_id" : "764",
"meta" : {
"groupsId" : "764",
"type" : "DRYGR"
},
"units" : [
{
"unit" : "BASE_UNIT_OR_EACH",
"gtin" : "08711728556206",
"services" : [
{
"label" : "AuditLabel",
"collection" : "gtins"
}
]
}
]
}
Try this code its work's for me
db.getCollection('assortiment').updateMany(
{
"units.services.label": "etiket controle"
},
{
"$set":
{ "units.$[].services.$[].label": "AuditLabel" }
}
)
There are multiple collections one of these are.
users
place
The document stored in the database which is given below.
{
"_id" : "1eca51f0-538d-11e8-89fc-d125355b590d",
"organization" : [
{
"associationIds" : {
"dObjectIds" : [
{
"dObjectData" : {
"objectId" : "fd047ddf-61c2-4df2-8241-62af0399c8c1",
"objectName" : "shift",
"dObjectId" : "49492544-e4e3-491b-b967-a6f62330da3f"
}
}
]
},
"organizationId" : "1c3f6150-538d-11e8-89fc-d125355b590d",
"privelege" : "Admin",
"organizationName" : "ABC"
},
{
"associationIds" : {
"dObjectIds" : [
{
"dObjectData" : {
"objectId" : "ad047ddf-61c2-4df2-8241-62af0399c5c1",
"objectName" : "shift",
"dObjectId" : "38492544-e4e3-491b-b967-a6f62330da3f"
}
},
{
"dObjectData" : {
"objectId" : "fd047ddf-61c2-4df2-8241-62af0399c8c2",
"objectName" : "department",
"dObjectId" : "49492544-e4e3-491b-b967-a6f62330da1f"
}
}
]
},
"organizationId" : "1c3f6150-538d-11e8-89fc-d125355b591d",
"privelege" : "Manager",
"organizationName" : "XYZ"
}
]}
I'm using these query.
db.users.aggregate([
{$match: {'_id': '1eca51f0-538d-11e8-89fc-d125355b590d'}},
{$unwind :'$organization'},
{$match:{'organization.organizationId':'1c3f6150-538d-11e8-89fc-d125355b591d'}},
{$unwind:'$organization.associationIds.dObjectIds'},
{'$lookup': {
'from': 'places',
localField:'organization.associationIds.dObjectIds.dObjectData.dObjectId',
foreignField: 'dObjectData.dObjectId',
as: 'associationData'
}
},
{'$project': {
'associationData': 1
}
}
])
I have used $unwind two times in a query which has more expensive.Is there any way or operation which can we use instead of multiple times of $unwind.
NOTE: I waana result like this(result of associationData which get the velue from other collection so I used $lookup)
{
_id" : "c6114ee0-c82f-11e6-9b1e-6140212f8693",
"associationData" : [
{
"_id" : "f09f5d70-ad7e-11e7-87bd-cd873956707e",
"dObjectData" : {
"departmentName" : "CEO & Directors",
"dObjectId" : "ab034106-ad7d-11e7-abc4-cec278b6b50a",
"objectName" : "Departments",
"objectId" : "63735ee2-ad79-11e7-abc4-cec278b6b50a",
"updatedOn" : ISODate("2017-10-10T11:20:37.255+05:30"),
"addedOn" : ISODate("2017-10-10T11:20:37.255+05:30")
},
"associationIds" : {
"organizationId" : "af39bc69-1938-4149-b9f7-f101fd9baf73",
"placeIds" : [ ],
"assignmentIds" : [ ],
"beaconIds" : [ ],
"userIds" : [ ]
}
}]}
I'll be very thankful.
I want to group my data on the base of factoryId field and then each factory there will be multiple orders want to again group on basis of orderId as each order can contain multiple items. Here I am giving the example of my data and what I need and first group by which I tried.
{
"_id" : ObjectId("5b3e270c42d8004cea382e87"),
"factoryId" : ObjectId("5aa76190cef23a1561b8056c"),
"productId" : ObjectId("5aa78c66cef23a1561b80893"),
"orderId" : ObjectId("5b3e270c42d8004cea382e86"),
"generatedOrderId" : "3985-166770-4554",
"productName" : "Lakme Lotion"
},
{
"_id" : ObjectId("5b3e270c42d8004cea382e88"),
"factoryId" : ObjectId("5b39aed32832f72062e51c23"),
"productId" : ObjectId("5b3cb96139cec8341df52c4b"),
"orderId" : ObjectId("5b3e270c42d8004cea382e86"),
"generatedOrderId" : "3985-166770-4554",
"productName" : "Coke"
},
{
"_id" : ObjectId("5b3e27b07fe0d94d62b76b2a"),
"factoryId" : ObjectId("5aa76190cef23a1561b8057c"),
"productId" : ObjectId("5ac21075ac347a5fbf355028"),
"orderId" : ObjectId("5b3e27b07fe0d94d62b76b27"),
"generatedOrderId" : "3985-755507-7484",
"productName" : "Spoon"
}
And I want result as:
{
"factoryId":ObjectId("5aa76190cef23a1561b8057c"),
"orders":[
{
"orderId":ObjectId("5b3e270c42d8004cea382e86")
"items":[
{
"productName":"Lakme Lotion"
},
{
"productName":"Coke"
}
]
}
]
}
Can anyone help me with this?. Any help is appreciated.
I tried and It worked for me. Sorry
db.getCollection("transactions").aggregate(
[
{
"$group" : {
"_id" : "$orderId",
"items" : {
"$push" : "$$ROOT"
}
}
},
{
"$project" : {
"orderId" : "$_id",
"items" : "$items",
"_id" : 0
}
},
{
"$unwind" : {
"path" : "$items",
"preserveNullAndEmptyArrays" : false
}
},
{
"$group" : {
"_id" : "$items.factoryId",
"orders" : {
"$push" : "$$ROOT"
}
}
},
{
"$project" : {
"factoryId" : "$_id",
"orders" : "$orders",
"_id" : 0
}
}
]
);
I have following collection
{
"_id" : ObjectId("5acdb95d5ea63a27c1facf92"),
"venue" : ObjectId("5acdb95d5ea63a27c1facf8c"),
"author" : ObjectId("5ac8ba3582c2345af70d4658"),
}
{
"_id" : ObjectId("5acdb95d5ea63a27c1facf93"),
"venue" : ObjectId("5acdb95d5ea63a27c1facf8c"),
"author" : ObjectId("5ac8ba3582c2345af70d4658"),
}
{
"_id" : ObjectId("5acdb95d5ea63a27c1facf91"),
"venue" : ObjectId("5acdb95d5ea63a27c1facf8c"),
"author" : ObjectId("5ac8ba3582c2345af70d4658"),
}
how to get all _id in an array having same venue
My output should be like this
{array: ['5acdb95d5ea63a27c1facf91', '5acdb95d5ea63a27c1facf91', '5acdb95d5ea63a27c1facf93']}
Try this query:
db.colelction.aggregate([
{$match:{"venue" : ObjectId("5acdb95d5ea63a27c1facf8c")}},
{$group:{_id:null, array:{$push:"$_id"}}},
{$project:{_id:0}}
])
And the output is:
/* 1 */
{
"array" : [
ObjectId("5acdb95d5ea63a27c1facf92"),
ObjectId("5acdb95d5ea63a27c1facf93"),
ObjectId("5acdb95d5ea63a27c1facf91")
]
}
db.collection.aggregate(
// Pipeline
[
// Stage 1
{
$group: {
_id:{venue:'$venue'},
_ids:{$addToSet:'$_id'}
}
},
// Stage 2
{
$project: {
_ids:1,
_id:0
}
}
]
);
How can I check if my aggregate query is good or bad? I already use "explain" but it's not specific.
Here's the output of my aggregate "explain".
{
"waitedMS" : NumberLong(0),
"stages" : [
{
"$cursor" : {
"query" : {
"keys.license_id" : ObjectId("580eeb7fb79bec95648775a2"),
"deleted.status" : {
"$ne" : 1
}
},
"queryPlanner" : {
"plannerVersion" : 1,
"namespace" : "serpentsmsapp.conversations",
"indexFilterSet" : false,
"parsedQuery" : {
"$and" : [
{
"keys.license_id" : {
"$eq" : ObjectId("580eeb7fb79bec95648775a2")
}
},
{
"$not" : {
"deleted.status" : {
"$eq" : 1
}
}
}
]
},
"winningPlan" : {
"stage" : "COLLSCAN",
"filter" : {
"$and" : [
{
"keys.license_id" : {
"$eq" : ObjectId("580eeb7fb79bec95648775a2")
}
},
{
"$not" : {
"deleted.status" : {
"$eq" : 1
}
}
}
]
},
"direction" : "forward"
},
"rejectedPlans" : [ ]
}
}
},
{
"$sort" : {
"sortKey" : {
"_id" : 1,
"keys.license_id" : 1,
"status.deleted" : 1
}
}
},
{
"$lookup" : {
"from" : "conversation_messages",
"as" : "cmf",
"localField" : "_id",
"foreignField" : "keys.conv_id",
"unwinding" : {
"preserveNullAndEmptyArrays" : false
}
}
},
{
"$match" : {
"cmf.deleted.status" : 0
}
},
{
"$sort" : {
"sortKey" : {
"cmf.deleted.status" : -1
}
}
},
{
"$group" : {
"_id" : {
"id" : "$_id",
"number" : "$number",
"mode" : "$mode",
"keys" : "$keys",
"ports" : "$ports",
"user_assign" : "$user_assign",
"spam" : "$spam"
},
"cm_field" : {
"$last" : {
"id" : "$cmf._id",
"message" : "$cmf.message",
"ports" : "$cmf.ports",
"mode" : "$cmf.mode",
"keys" : "$cmf.keys",
"status" : "$cmf.status",
"date" : "$cmf.updated"
}
},
"counts" : {
"$sum" : "$cmf.status"
},
"sms_mode" : {
"$addToSet" : "$cmf.mode"
}
}
},
{
"$sort" : {
"sortKey" : {
"cm_field.date" : -1
},
"limit" : NumberLong(5000)
}
},
{
"$group" : {
"_id" : "$_id",
"cm_field" : {
"$last" : "$cm_field"
},
"counts" : {
"$first" : "$counts"
},
"sms_mode" : {
"$first" : "$sms_mode"
}
}
}
],
"ok" : 1
}
How can I see how many docs are scanned before performing my query?
In order to solve your problem I suggest you the following plan
Learn how does Explain work.
"Good or bad" approach is not an engineering approach, it always depends on a lot of factors (requirements, hardware, etc...). You should define what are those requirements before answering if it query is performant enough.
For your specific explain log. "COLSCAN" - means it has used all your documents on the collection to aggregate the result, this usually is an alert sign, you should think of using proper indexes.