How do I update a subelement data in nested field
{
"_id" : ObjectId("5efc287809c3635ae4977df0"),
"deviceid" : "f7dd4c1b-d7b1-4d1b-9ab0-b0fa52b1f7e7",
"solution" : []
}
I need to update same as below.
{
"_id" : ObjectId("5efc287809c3635ae4977df0"),
"deviceid" : "f7dd4c1b-d7b1-4d1b-9ab0-b0fa52b1f7e7",
"solution" : [
{
"solutionid" :1.0
}
]
}
Please use below query.
db.collection.updateOne({"deviceid" : "f7dd4c1b-d7b1-4d1b-9ab0-b0fa52b1f7e7"},{"$set":{"solution":[{"solutionid" :1.0}]}})
Related
I have almost no experience in SQL or noSQL.
I need to update every document so that my fields "Log*" are under the new field "Log"
I found some help from this StackOverflow, but I am still wondering how to move the data.
Thank you very much
Original document
// collection: Services
{
"_id" : ObjectId("5ccb4f99f4953d4894acbe79"),
"Name" : "WebAPI",
"LogPath" : "Product\\APIService\\",
"LogTypeList" : [
{
"Name" : "ApiComCounter",
"FileName" : "ApiComCounter.log"
},
{
"Name" : "ApiService",
"FileName" : "ApiService.log"
}
]
}
Final Document
// collection: Services
{
"_id" : ObjectId("5ccb6fa2ae8f8a5d7037a5dd"),
"Name" : "InvoicingService",
"Log" : {
"LogPath" : "Product\\APIService\\",
"LogTypeList" : [
{
"Name" : "ApiComCounter",
"FileName" : "ApiComCounter.log"
},
{
"Name" : "ApiService",
"FileName" : "ApiService.log"
}
]
}
}
This requires MongoDB 4.2 or higher:
db.<collection>.updateMany({}, [
{$set: {"Log.LogPath": "$LogPath", "Log.LogTypeList": "$LogTypeList"}},
{$unset: ["LogPath", "LogTypeList"]}
])
I have a MongoDB collection containing documents like this:
"_id" : "d0888171-473d-46c7-a9c2-e18dfa141998",
"NUMBER" : 111111,
"SECURITIES" : [
{
"FK_GROUPS_ID" : ObjectId("59d4e02540b8f85428c827f9"),
"ACCESS_LEVEL" : "r"
},
{
"FK_GROUPS_ID" : ObjectId("59d24bce184fcd62968a21a3"),
"ACCESS_LEVEL" : "rw"
}
]
}
How to find all documents with a specific FK_GROUPS_ID in SECURITIES array?
Thanks
db.collection.find({'SECURITIES.FK_GROUPS_ID' : ObjectId("GroupsIdString")});
I have a set of mongodb documents with the following structure:
{
"_id" : NUUID("58fbb893-dfe9-4f08-a761-5629d889647d"),
"Identifiers" : {
"IdentificationLevel" : 2,
"Identifier" : "extranet\\test#test.com"
},
"Personal" : {
"FirstName" : "Test",
"Surname" : "Test"
},
"Tags" : {
"Entries" : {
"ContactLists" : {
"Values" : {
"0" : {
"Value" : "{292D8695-4936-4865-A413-800960626E6D}",
"DateTime" : ISODate("2015-04-30T09:14:45.549Z")
}
}
}
}
}
}
How can I make a query with the mongo shell which finds all documents with a specific "Value" (e.g.{292D8695-4936-4865-A413-800960626E6D} in the Tag.Entries.ContactLists.Values path?
The structure is unfortunately locked by Sitecore, so it is not an options to use another structure.
As your sample collection structure show Values is object, it contains only one Value. Also you must check for Value as it contains extra paranthesis. If you want to get Value from given structure try following query :
db.collection.find({
"Tags.Entries.ContactLists.Values.0.Value": "{292D8695-4936-4865-A413-800960626E6D}"
})
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 $unwind since US is an array.
Don't know what you are doing (so realy can't tell and just sugesting) but you might want to examine if your schema (and mongodb) is ideal for your task because the document looks just like denormalized relational data probably a relational database would be better for you.
I need help to build a query to substract two dates in mongodb.
I have some documents like above :
{"_id" : "32472034809", "center": "102030", dateArq : 141010, inDate : "ISODate("2014-06-06T02:57:19.000-03:00)", biDate : ISODate("2014-06-07T02:57:19.000-03:00)"}
And Im trying to write a query
db.teste.aggregation([{$match : {dateArq : 141010}},{$project : {$subtract : ["$biDate" "$inDate"]}}])
In fact, I want to do : for each _id I want to result biDate - inDate , because I need to see if dateArq keep in a line constante.
In Oracle I did
select dateArq, (biDate - inDate) diff from teste where dateArq = 141010
Tks for help
The document and aggregation pipeline provided had syntax problems, and you needed to put a field name for the result of the $subtract, but otherwise your pipeline works for me:
> db.test.findOne()
{
"_id" : "32472034809",
"center" : "102030",
"dateArq" : 141010,
"inDate" : ISODate("2014-06-06T05:57:19Z"),
"biDate" : ISODate("2014-06-07T05:57:19Z")
}
> db.test.findOnedb.test.aggregate([
{ "$match" : { "dateArq" : 141010 } },
{ "$project" : { "dateDiff" : { "$subtract" : ["$biDate", "$inDate"] } } }
])
{ "_id" : "32472034809", "dateDiff" : NumberLong(86400000) }