{
"_id" : "tenant/data/EMAIL/ENGLISH",
"tenantId" : "tenant2",
"channelType" : "EMAIL",
"template" : [
{
"_id" : "1",
"templateName" : "abc",
"effectiveStartDate" : ISODate("2017-01-01T12:00:00.000Z"),
"modifiedDate" : ISODate("2017-06-02T22:08:55.782Z"),
"active" : false
}
]
}
I need to update the "templateName" : "xyz" on the basis of "_id" : "tenant/data/EMAIL/ENGLISH"
I have tried these queries but got no success
db.getCollection('data').updateOne({"_id": "tenant/data/EMAIL/ENGLISH"},
{$set : { "template.$.templateName" : "XYZ"}});
db.getCollection('data').updateOne({"_id": "tenant/data/EMAIL/ENGLISH"},
{$set : { "template.templateName" : "XYZ"}});
Any help will be appreciated.
I have used positional-all operator to update the array.
Here is the query:
db.sample.update(
{
"_id": "tenant/data/EMAIL/ENGLISH"
},
{
$set:{
"template.$[].templateName":"XYZ"
}
}
)
Output
{
"_id" : "tenant/data/EMAIL/ENGLISH",
"tenantId" : "tenant2",
"channelType" : "EMAIL",
"template" : [
{
"_id" : "1",
"templateName" : "XYZ",
"effectiveStartDate" : ISODate("2017-01-01T12:00:00Z"),
"modifiedDate" : ISODate("2017-06-02T22:08:55.782Z"),
"active" : false
}
]
}
hope this will help :)
Related
I have created a pipeline between 3 collections and the final result must be in count based on their respective field. Hope someone gives some assistance.
INPUT
{
"_id" : "josh_7#user.com",
"users" : [
{
"_id" : ObjectId("612f60cb5dce270014648294"),
"userType" : "Admin",
"userPlan" : "GROWTH",
"username" : "josh_7#user.com",
"company" : "josh_7#user.com",
"accounts" : [
{
"_id" : {
"username" : "josh_7#user.com"
}
},
{
"_id" : {
"username" : "josh_7#user.com",
"status" : "ERROR"
}
},
{
"_id" : {
"username" : "josh_7#user.com",
"status" : "SENT"
}
},
{
"_id" : {
"username" : "josh_7#user.com",
"status" : "REMOVED_FROM_QUEUE"
}
},
{
"_id" : {
"username" : "josh_7#user.com",
"status" : "REMOVED_FOR_PUBLISH"
}
},
{
"_id" : {
"username" : "josh_7#user.com",
"status" : "UNSCHEDULED"
}
}
]
},
]
}
EXPECTED OUTPUT
{
"_id": "josh_7#user.com",
"users": [
{
"username": "josh_7#user.com",
"userType": "Admin",
"userPlan": "GROWTH",
"company": "josh_7#user.com",
"accounts": [ // This section is where i got stuck
{
"_id": "josh_7#user.com,
"READY_TO_GO_count": 0,
"SENT": 36,
"UNSCHEDULED": 0,
"AWAITING_APPROVAL": 0,
"REMOVED_FROM_QUEUE": 16,
"FLAGGED": 1,
"ERROR": 1
}
]
},
I tried using the below line
{$group:{_id:"$status",count:{$sum:1}}}
The output was :
"accounts" : [
{
"_id" : "SENT",
"count" : 4.0
},
{
"_id" : "REMOVED_FROM_QUEUE",
"count" : 8.0
}
]
I Figured something for the above question, If it's not the best way, Please do correct me.
{$group:{_id:"$username","SENT":{$sum:{$cond:[{$eq:["$status","SENT"]},1,0]}},"AWAITING_APPROVAL":{$sum:{$cond:[{$eq:["$status","AWAITING_APPROVAL"]},1,0]}},"FLAGGED":{$sum:{$cond:[{$eq:["$status","FLAGGED"]},1,0]}},}}
Result
{
"_id" : ObjectId("5ed7abc5986c050012d4aa4a"),
"userType" : "Regular",
"userPlan" : "GRANDE",
"username" : "shan2#psk3n.com",
"company" : "tariyi8792#psk3n.com",
"accounts" : [
{
"_id" : "shan2#psk3n.com",
"SENT" : 1.0,
"AWAITING_APPROVAL" : 0.0,
"FLAGGED" : 0.0
}
]
}
I have the following document and want to update state
Document ID: ObjectId("5a4e5a448b70d50e34d204a5")
Target ID: ObjectId("5a4e5a438b70d50e34d203ea")
I have no idea how to update the state to e.g. 4
{
"_id" : ObjectId("5a4e5a448b70d50e34d204a5"),
"name" : "Wirtschaftsdienst",
"date" : ISODate("2012-10-07T00:00:00.000Z"),
"comment" : null,
"tasks" : [
{
"name" : "Speisen und Getränke",
"sections" : [
{
"start" : 46800,
"end" : 72000,
"entirely" : true,
"assistants" : [
{
"assistant" : {
"_id" : ObjectId("5a4e5a438b70d50e34d203ea")
},
"state" : 3
},
{
"assistant" : {
"_id" : ObjectId("5a4e5a438b70d50e34d203f4")
},
"state" : 3
}
]
}
]
}
]
}
Use positional operator $[] along with arrayFilters to get your job done!
Try this query:
db.collection.update(
{"_id" : ObjectId("5a4e5a448b70d50e34d204a5")},
{$set: {"tasks.$[].sections.$[].assistants.$[element].state":4}},
{arrayFilters: [ {"element.assistant":{"_id" :
ObjectId("5a4e5a438b70d50e34d203ea")} }
], multi:true}
)
And the output is:
/* 1 */
{
"_id" : ObjectId("5a4e5a448b70d50e34d204a5"),
"name" : "Wirtschaftsdienst",
"date" : ISODate("2012-10-07T00:00:00.000Z"),
"comment" : null,
"tasks" : [
{
"name" : "Speisen und Getränke",
"sections" : [
{
"start" : 46800,
"end" : 72000,
"entirely" : true,
"assistants" : [
{
"assistant" : {
"_id" : ObjectId("5a4e5a438b70d50e34d203ea")
},
"state" : 4.0
},
{
"assistant" : {
"_id" : ObjectId("5a4e5a438b70d50e34d203f4")
},
"state" : 3.0
}
]
}
]
}
]
}
Here is my actual database schema.
company_id is reference object of companies collection and booking_days.consultants.consultant_id is reference object of users collection.
I want to join embedded document with company_id and booking_days.consultants.consultant_id.
{
"_id" : ObjectId("5a7040d664544e1bb877deae"),
"company_id" : ObjectId("5a6eb43f437e6a0d9e00c92f"),
"booking_days" : [
{
"booking_date" : ISODate("2018-01-31T00:00:00.000Z"),
"_id" : ObjectId("5a7040d664544e1bb877deca"),
"consultants" : [
{
"consultant_id" : ObjectId("5a6f2854ce7d6938de1dd52c"),
"_id" : ObjectId("5a7040d664544e1bb877decc")
},
{
"consultant_id" : ObjectId("5a6f2854ce7d6938de1dd52f"),
"_id" : ObjectId("5a7040d664544e1bb877decb")
}
]
},
{
"booking_date" : ISODate("2018-02-01T00:00:00.000Z"),
"_id" : ObjectId("5a7040d664544e1bb877dec6"),
"consultants" : [
{
"consultant_id" : ObjectId("5a6f2854ce7d6938de1dd52f"),
"_id" : ObjectId("5a7040d664544e1bb877dec9")
},
{
"consultant_id" : ObjectId("5a6f2854ce7d6938de1dd52c"),
"_id" : ObjectId("5a7040d664544e1bb877dec8")
},
{
"consultant_id" : ObjectId("5a6f2854ce7d6938de1dd52c"),
"_id" : ObjectId("5a7040d664544e1bb877dec7")
}
]
},
{
"booking_date" : ISODate("2018-02-02T00:00:00.000Z"),
"_id" : ObjectId("5a7040d664544e1bb877dec4"),
"consultants" : [
{
"consultant_id" : ObjectId("5a6f2854ce7d6938de1dd52c"),
"_id" : ObjectId("5a7040d664544e1bb877dec5")
}
]
},
],
"__v" : 0
}
I am using below query.
db.getCollection('booking_days').aggregate(
[
{ $match: { company_id:ObjectId("5a6eb43f437e6a0d9e00c92f") } },
{
$lookup: {
localField: "company_id",
from: "companies",
foreignField: "_id",
as: "companies"
},
},
{
$lookup: {
localField: "booking_days.consultants.consultant_id",
from: "users",
foreignField: "_id",
as: "userssss"
},
},
{
$unwind:"$companies"
},
]
)
Actual Output
{
"_id" : ObjectId("5a7040d664544e1bb877deae"),
"company_id" : ObjectId("5a6eb43f437e6a0d9e00c92f"),
"booking_days" : [
{
"booking_date" : ISODate("2018-01-31T00:00:00.000Z"),
"_id" : ObjectId("5a7040d664544e1bb877deca"),
"consultants" : [
{
"consultant_id" : ObjectId("5a6f2854ce7d6938de1dd52c"),
"_id" : ObjectId("5a7040d664544e1bb877decc")
},
{
"consultant_id" : ObjectId("5a6f2854ce7d6938de1dd52f"),
"_id" : ObjectId("5a7040d664544e1bb877decb")
}
]
},
{
"booking_date" : ISODate("2018-02-01T00:00:00.000Z"),
"_id" : ObjectId("5a7040d664544e1bb877dec6"),
"consultants" : [
{
"consultant_id" : ObjectId("5a6f2854ce7d6938de1dd52f"),
"_id" : ObjectId("5a7040d664544e1bb877dec9")
},
]
},
],
"__v" : 0,
"companies" : {
"_id" : ObjectId("5a6eb43f437e6a0d9e00c92f"),
"first_name" : "Adrienne Runolfsson",
},
"users" : [
{
"_id" : ObjectId("5a6f2854ce7d6938de1dd52c"),
"first_name" : "Christ Hamill",
},
{
"_id" : ObjectId("5a6f2854ce7d6938de1dd52e"),
"first_name" : "Miss Dina Kovacek",
},
]
}
Excepted output. consultant data will come in booking_days.consultants array.
{
"_id" : ObjectId("5a7040d664544e1bb877deae"),
"company_id" : ObjectId("5a6eb43f437e6a0d9e00c92f"),
"booking_days" : [
{
"booking_date" : ISODate("2018-01-31T00:00:00.000Z"),
"_id" : ObjectId("5a7040d664544e1bb877deca"),
"consultants" : [
{
"consultant_id" : {
"_id" : ObjectId("5a6f2854ce7d6938de1dd52c"),
"first_name" : "Christ Hamill",
},
"_id" : ObjectId("5a7040d664544e1bb877decc")
},
{
"consultant_id" : {
"_id" : ObjectId("5a6f2854ce7d6938de1dd52e"),
"first_name" : "Miss Dina Kovacek",
},
"_id" : ObjectId("5a7040d664544e1bb877decb")
}
]
},
{
"booking_date" : ISODate("2018-02-01T00:00:00.000Z"),
"_id" : ObjectId("5a7040d664544e1bb877dec6"),
"consultants" : [
{
"consultant_id" : {
"_id" : ObjectId("5a6f2854ce7d6938de1dd52e"),
"first_name" : "Miss Dina Kovacek",
},
"_id" : ObjectId("5a7040d664544e1bb877dec9")
},
]
},
],
"__v" : 0,
"companies" : {
"_id" : ObjectId("5a6eb43f437e6a0d9e00c92f"),
"first_name" : "Adrienne Runolfsson",
},
}
As such you have to $unwind the localField when it is an embedded document array expect in some cases where localField is an array of scalar ids.
$unwind twice as consultant array is two levels deep followed by $lookup to get the name and $group to get back the expected output.
db.getCollection('booking_days').aggregate([
{"$match":{"company_id":ObjectId("5a6eb43f437e6a0d9e00c92f")}},
{"$lookup":{"localField":"company_id","from":"companies","foreignField":"_id","as":"companies"}},
{"$unwind":"$companies"},
{"$unwind":"$booking_days"},
{"$unwind":"$consultants"},
{"$lookup":{
"localField":"booking_days.consultants.consultant_id",
"from":"users",
"foreignField":"_id",
"as":"booking_days.consultants.consultant_id"
}},
{"$group":{
"_id":{"_id":"$_id","booking_days_id":"$booking_days._id"},
"company_id":{"$first":"$company_id"},
"booking_date":{"$first":"$booking_days.booking_date"},
"companies":{"$first":"$companies"},
"consultants":{"$push":"$booking_days.consultants"}
}},
{"$group":{
"_id":"$_id._id",
"company_id":{"$first":"$company_id"},
"companies":{"$first":"$companies"},
"booking_days":{
"$push":{
"_id":"$_id.booking_days_id",
"booking_date":"$booking_date",
"consultants":"$consultants"
}
}
}}
])
{"Id": "5b87a4c79a9c3feac943fc6c",
"comments" : [
{
"likes" : [],
"_id" : ObjectId("5b87a4c79a9c3feac943fc6c"),
"comment" : "string",
"accountId" : "a426d0da-ac72-4932-828e-3af99a998bc7",
"commentId" : "7d2a05d1-2026-4a13-a5c1-318ed80d1b38",
"reply" : [
{
"_id" : ObjectId("5b87b61e97585ef1d0d22108"),
"comment" : "string",
"accountId" : "a426d0da-ac72-4932-828e-3af99a998bc7",
"replyId" : "ec220fd7-3440-44dc-9178-7a1183879463"
},
{
"_id" : ObjectId("5b87b61e97585ef1d0d22108"),
"comment" : "string klllll",
"accountId" : "a426d0da-ac72-4932-828e-3af99a998bc7",
"replyId" : "ec220fd7-3440-44dc-9178-7a1183879463"
}
]
},
{
"likes" : [],
"_id" : ObjectId("5b87c301c8a07efa2599c29e"),
"comment" : "testing",
"accountId" : "cfd29f53-d73e-480c-9cfa-ea42b4119266",
"commentId" : "0676047b-1712-4f70-89d5-29c1abe03eaf",
"reply" : [
{
"_id" : ObjectId("5b87b61e97585ef1d0d22108"),
"comment" : "string",
"accountId" : "a426d0da-ac72-4932-828e-3af99a998bc7",
"replyId" : "ec220fd7-3440-44dc-9178-7a1183879463"
},
{
"_id" : ObjectId("5b87b61e97585ef1d0d22108"),
"comment" : "string klllll",
"accountId" : "a426d0da-ac72-4932-828e-3af99a998bc7",
"replyId" : "ec220fd7-3440-44dc-9178-7a1183879463"
}
]
}
]
}
accountId is in differnt connection
// Expected Out Put
{"Id": "5b87a4c79a9c3feac943fc6c",
"comments" : [
{
"likes" : [],
"_id" : ObjectId("5b87a4c79a9c3feac943fc6c"),
"comment" : "string",
"name" : "apple",
"reply" : [
{
"_id" : ObjectId("5b87b61e97585ef1d0d22108"),
"comment" : "string",
"name" : "apple",
},
{
"_id" : ObjectId("5b87b61e97585ef1d0d22108"),
"comment" : "string klllll",
"name" : "apple",
}
]
},
{
"likes" : [],
"_id" : ObjectId("5b87c301c8a07efa2599c29e"),
"comment" : "testing",
"name" : "ball",
"reply" : [
{
"_id" : ObjectId("5b87b61e97585ef1d0d22108"),
"comment" : "string",
"name" : "apple",
},
{
"_id" : ObjectId("5b87b61e97585ef1d0d22108"),
"comment" : "string klllll",
"name" : "apple", }
]
}
]
}
I want to find all the values from a subdocument like this:
{ "_id" : ObjectId("XXXXXXXXXXXX"), "consumers" : { "AAAAAAAA" : { "CLIENT" : { "AA" : true } } }, "country" : "ES", "history" : [ ], "last_time_updated" : ISODate("2014-11-28T13:32:19.948Z"), "msisdn" : "123", "operator" : "ES", "time_created" : ISODate("2014-11-28T13:32:19.948Z") }
{ "_id" : ObjectId("XXXXXXXXXXXX"), "consumers" : { "AAAAAAAA" : { "CLIENT" : { "BB" : true } } }, "country" : "ES", "history" : [ ], "last_time_updated" : ISODate("2014-11-28T13:32:19.971Z"), "msisdn" : "123", "operator" : "ES", "time_created" : ISODate("2014-11-28T13:32:19.971Z") }
{ "_id" : ObjectId("XXXXXXXXXXXX"), "consumers" : { "AAAAAAAA" : { "CLIENT" : { "CC" : false } } }, "country" : "ES", "history" : [ ], "last_time_updated" : ISODate("2014-11-28T13:32:19.977Z"), "msisdn" : "123", "operator" : "ES", "time_created" : ISODate("2014-11-28T13:32:19.977Z") }
That include all the values from "CLIENT" that i don't know, i am triying with:
db.collection.find({"consumers" : { "AAAAAAAA" : { "CLIENT" : { $exists : true } } }})
But is not a valid query, please some help?
Thank you very much.
Dot notation can be used to match by fields in a sub document.
db.collection.find({"consumers.AAAAAAAA.CLIENT": {"$exists":true}})
I want to filter only kumar "to" items"_id" : ObjectId("5048d2e5fbdac48208000042") message from my query and expected result
{
"_id" : ObjectId("5191502a2f1b3ca33e000016"),
"message" : "<p>sssdasd<br></p>",
"subject" : "test message to nag",
"date" : ISODate("2013-05-13T20:42:19.349Z")
}
from below collections
{
"__v" : 0,
"_id" : ObjectId("5191502a2f1b3ca33e000016"),
"conversation" : [
{
"date" : ISODate("2013-05-13T20:42:19.349Z"),
"message" : "<p>sssdasd<br></p>",
"_id" : ObjectId("5191502a2f1b3ca33e000017"),
"to" : {
"_id" : ObjectId("5048d2e5fbdac48208000042"),
"name" : "Kumar"
},
"from" : {
"_id" : ObjectId("503fdbfa294f6db74de649ea"),
"name" : "Anand"
}
},
{
"message" : "<p>reply</p>",
"date" : ISODate("2013-05-13T21:05:33.453Z"),
"_id" : ObjectId("5191559c7d2c386741000018"),
"to" : {
"_id" : ObjectId("503fdbfa294f6db74de649ea"),
"name" : "Anand"
},
"from" : {
"_id" : ObjectId("5048d2e5fbdac48208000042"),
"name" : "Kumar"
}
},
{
"message" : "<p>reply2<br></p>",
"date" : ISODate("2013-05-13T21:05:55.006Z"),
"_id" : ObjectId("519155b1ca98b66641000014"),
"to" : {
"_id" : ObjectId("503fdbfa294f6db74de649ea"),
"name" : "Anand"
},
"from" : {
"_id" : ObjectId("503fdbfa294f6db74de649ea"),
"name" : "Anand"
}
}
],
"from" : {
"_id" : ObjectId("503fdbfa294f6db74de649ea"),
"name" : "Anand"
},
"sent" : ISODate("2013-05-13T20:42:19.349Z"),
"subject" : "test message to nag",
"to" : {
"_id" : ObjectId("5048d2e5fbdac48208000042"),
"name" : "Kumar"
}
}
I was try with below query
db.messages.find({'conversation.to._id':ObjectId("5048d2e5fbdac48208000042")},{'subject':-1, 'conversation.message': 1,'conversation.to':1}).pretty();
But I am not get the expected result
I have used aggregate framework I am able to get the expected result.
db.message.aggregate(
{ $unwind : "$conversation" },
{ $match: {
"conversation.to.name" : "Anand"
}
},
{
$sort: {
"conversation.date" : -1
}
},
{
$group: {
_id:"$_id",
msgSubject: {$first:"$subject"},
msgDate: {$first:"$conversation.date"},
latestmsg: {$first:"$conversation.message"}
}
}
);
Please share if any different than above