When I use this method, I get all documents from _User collection. (as expected)
db.getCollection("_User").find({ "_id" : { $nin: [] }})
However, when I add at least one string to $nin array:
db.getCollection("_User").find({ "_id" : { $nin: ["7HpHbmF5iu","ga61t3afsa"] }})
I get empty results. (expected - to get all documents without the ones with ids 7HpHbmF5iu and ga61t3afsa)
MongoDB version 3.2.6
These are two documents I want to filter from all:
{ "_id" : "7HpHbmF5iu", "expiration_date" : ISODate("2015-12-28T08:51:21.252Z"), "_created_at" : ISODate("2015-10-29T08:51:23.302Z"), "_updated_at" : ISODate("2016-03-10T17:37:45.262Z"), "gender" : "female", "firstName" : "Toma", "verification" : "verified", "birthdayDate" : ISODate("1995-02-15T00:00:00Z") }
{ "_id" : "ga61t3afsa", "expiration_date" : ISODate("2015-12-27T07:54:21.235Z"), "_created_at" : ISODate("2015-10-28T07:11:22.102Z"), "_updated_at" : ISODate("2016-03-11T16:11:10.100Z"), "gender" : "female", "firstName" : "Goda", "verification" : "verified", "birthdayDate" : ISODate("1992-09-13T00:00:00Z") }
It was an error in Azure DocumentDB with Mongo, however I've chosen not to use their services, so I don't know if they've already fixed it.
Related
I am trying to fetch total replies where read values for a replies is true. But I am getting count value as 3 but expected value is 2 (since only two read value is true) through Aggregation function available in Spring Data Mongo. Below is the code which I wrote:
Aggregation sumOfRepliesAgg = newAggregation(match(new Criteria().andOperator(Criteria.where("replies.repliedUserId").is(userProfileId),Criteria.where("replies.read").is(true))),
unwind("replies"), group("replies").count().as("repliesCount"),project("repliesCount"));
AggregationResults<Comments> totalRepliesCount = mongoOps.aggregate(sumOfRepliesAgg, "COMMENTS",Comments.class);
return totalRepliesCount.getMappedResults().size();
Using AND Operator inside Criteria Query and passed two criteria condition but not working as expected. Below is the sample data set:
{
"_id" : ObjectId("5c4ca7c94807e220ac5f7ec2"),
"_class" : "com.forum.api.domain.Comments",
"comment_data" : "logged by karthe99",
"totalReplies" : 2,
"replies" : [
{
"_id" : "b33a429f-b201-449b-962b-d589b7979cf0",
"content" : "dasdsa",
"createdDate" : ISODate("2019-01-26T18:33:10.674Z"),
"repliedToUser" : "#karthe99",
"repliedUserId" : "5bbc305950a1051dac1b1c96",
"read" : false
},
{
"_id" : "b886f8da-2643-4eca-9d8a-53f90777f492",
"content" : "dasda",
"createdDate" : ISODate("2019-01-26T18:33:15.461Z"),
"repliedToUser" : "#karthe50",
"repliedUserId" : "5c4bd8914807e208b8a4212b",
"read" : true
},
{
"_id" : "b56hy4rt-2343-8tgr-988a-c4f90598h492",
"content" : "dasda",
"createdDate" : ISODate("2019-01-26T18:33:15.461Z"),
"repliedToUser" : "#karthe50",
"repliedUserId" : "5c4bd8914807e208b8a4212b",
"read" : true
}
],
"last_modified_by" : "karthe99",
"last_modified_date" : ISODate("2019-01-26T18:32:41.394Z")
}
What is the mistake in the query that I wrote?
Embedded Update query works fine in mlab and atlas but not working in Cosmos DB:
My Collection structure:
{
"_id" : ObjectId("5982f3f97729be2cce108785"),
"password" : "$2y$10$F2P9ITmyKNebpoDaQ1ed4OxxMZSKmKFD9ipiU1klqio239c/nJcme",
"nin" : "123",
"login_status" : 1,
"updated_at" : ISODate("2017-05-16T09:09:03.000Z"),
"created_at" : ISODate("2017-05-16T06:08:47.000Z"),
"files" : [
{
"name" : "abc",
"updated_at" : ISODate("2017-05-16T06:08:48.000Z"),
"created_at" : ISODate("2017-05-16T06:08:48.000Z"),
"_id" : ObjectId("5982f3f97729be2cce108784")
}
],
"name" : "demo",
"email" : "email#gmail.com",
"phone" : "1231234",
}
My query is:
db.rail_zones.update(
{'_id': ObjectId("5982f3f97729be2cce108785"),
'files._id' : ObjectId("5982f3f97729be2cce108784")},
{ $set: {'files.$.name' : "Changed"}})
I get this response:
"acknowledged" : true,
"matchedCount" : 0.0,
"modifiedCount" : 0.0
According to your description, I tested this issue on my side and found the Array Update could not work as expected. I assumed that the Array Update feature has not been implemented in the MongoDB Compatibility layer of Azure CosmosDB. Moreover, I found a feedback Positional array update via '$' query support talking about the similar issue.
I have an object structure as shown below
{
"_id" : ObjectId("55d164f1c8f2c53a82535b9a"),
"plant_name" : "TOTAL",
"installed_capacity" : 3473,
"wind_data" : [
{
"date" : "16-08-15",
"timestamp" : " 16:27:15",
"generated_capacity" : 617.24,
"frequency" : 50.01
},
{
"date" : "16-08-15",
"timestamp" : " 21:21:15",
"generated_capacity" : 670.25,
"frequency" : 49.94
}, ....]
}
I need to sum up (at least retrieve) "generated_capacity" of all the objects under "wind_data" having "date" equal to "16-08-15" of "TOTAL" object. I have tried this query
db.collectionName.aggregate(
{"$unwind":"$wind_data"},
{"$match":{"plant_name":"TOTAL","wind_data.date":"16-08-15"}}
)
But, this query is not working. Please suggest some way to figure this out.
The following query would do the job
db.collectionName.aggregate([
{"$unwind":"$wind_data"},
{"$match":{"plant_name":"TOTAL","wind_data.date":"16-08-15"}},
{"$group":{"_id":"$wind_data.date","generated_capacity_sum":{"$sum":"$wind_data.generated_capacity"}}}
])
I need get a specific object in array of array in MongoDB.
I need get only the task object = [_id = ObjectId("543429a2cb38b1d83c3ff2c2")].
My document (projects):
{
"_id" : ObjectId("543428c2cb38b1d83c3ff2bd"),
"name" : "new project",
"author" : ObjectId("5424ac37eb0ea85d4c921f8b"),
"members" : [
ObjectId("5424ac37eb0ea85d4c921f8b")
],
"US" : [
{
"_id" : ObjectId("5434297fcb38b1d83c3ff2c0"),
"name" : "Test Story",
"author" : ObjectId("5424ac37eb0ea85d4c921f8b"),
"tasks" : [
{
"_id" : ObjectId("54342987cb38b1d83c3ff2c1"),
"name" : "teste3",
"author" : ObjectId("5424ac37eb0ea85d4c921f8b")
},
{
"_id" : ObjectId("543429a2cb38b1d83c3ff2c2"),
"name" : "jklasdfa_XXX",
"author" : ObjectId("5424ac37eb0ea85d4c921f8b")
}
]
}
]
}
Result expected:
{
"_id" : ObjectId("543429a2cb38b1d83c3ff2c2"),
"name" : "jklasdfa_XXX",
"author" : ObjectId("5424ac37eb0ea85d4c921f8b")
}
But i not getting it.
I still testing with no success:
db.projects.find({
"US.tasks._id" : ObjectId("543429a2cb38b1d83c3ff2c2")
}, { "US.tasks.$" : 1 })
I tryed with $elemMatch too, but return nothing.
db.projects.find({
"US" : {
"tasks" : {
$elemMatch : {
"_id" : ObjectId("543429a2cb38b1d83c3ff2c2")
}
}
}
})
Can i get ONLY my result expected using find()? If not, what and how use?
Thanks!
You will need an aggregation for that:
db.projects.aggregate([{$unwind:"$US"},
{$unwind:"$US.tasks"},
{$match:{"US.tasks._id":ObjectId("543429a2cb38b1d83c3ff2c2")}},
{$project:{_id:0,"task":"$US.tasks"}}])
should return
{ task : {
"_id" : ObjectId("543429a2cb38b1d83c3ff2c2"),
"name" : "jklasdfa_XXX",
"author" : ObjectId("5424ac37eb0ea85d4c921f8b")
}
Explanation:
$unwind creates a new (virtual) document for each array element
$match is the query part of your find
$project is similar as to project part in find i.e. it specifies the fields you want to get in the results
You might want to add a second $match before the $unwind if you know the document you are searching (look at performance metrics).
Edit: added a second $unwind since US is an array.
Don't know what you are doing (so realy can't tell and just sugesting) but you might want to examine if your schema (and mongodb) is ideal for your task because the document looks just like denormalized relational data probably a relational database would be better for you.
When i don't use pagination, everything works fine (i have only 3 records in this collection, so all of them are listed here):
db.suppliers.find({location: {$near: [-23.5968323, -46.6782386]}},{name:1,badge:1}).sort({badge:-1})
{ "_id" : ObjectId("4f33ff549112b9b84f000070"), "badge" : 3, "name" : "Dedetizadora Alvorada" }
{ "_id" : ObjectId("4f33ff019112b9b84f00005b"), "badge" : 2, "name" : "Sampex Desentupidora e Dedetizadora" }
{ "_id" : ObjectId("4f33feae9112b9b84f000046"), "badge" : 1, "name" : "Higitec Desentupimento e Dedetização" }
But when i try to paginate from the first to the second page, one record doesn't show up and one is repeated:
db.suppliers.find({location: {$near: [-23.5968323, -46.6782386]}},{name:1,badge:1}).sort({badge:-1}).skip(0).limit(2)
{ "_id" : ObjectId("4f33ff549112b9b84f000070"), "badge" : 3, "name" : "Dedetizadora Alvorada" }
{ "_id" : ObjectId("4f33feae9112b9b84f000046"), "badge" : 1, "name" : "Higitec Desentupimento e Dedetização" }
db.suppliers.find({location: {$near: [-23.5968323, -46.6782386]}},{name:1,badge:1}).sort({badge:-1}).skip(2).limit(2)
{ "_id" : ObjectId("4f33feae9112b9b84f000046"), "badge" : 1, "name" : "Higitec Desentupimento e Dedetização" }
Am i doing something wrong or is this some kind of bug?
edit:
Here is a workaround for this. Basically you shouldn't mix $near queries with sorting; use $within instead.
There is an open issue regarding the same problem. Please have a look & vote Geospatial result paging fails when sorting with additional keys