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"]}
])
Related
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"},{"$set":{"solution":[{"solutionid" :1.0}]}})
I have documents in which I would like to update the hostUser with one of the members of the document,also have to delete the record from the member document and add the chips of the deleted member in the club chips.
Here is the sample document.
{
"_id" : "1002",
"hostUser" : "1111111111",
"clubChips" : 10000,
"requests" : {},
"profile" : {
"clubname" : "AAAAA",
"image" : "0"
},
"tables" : [
"SJCA3S0Wm"
],
"isDeleted" : false,
"members" : {
"1111111111" : {
"chips" : 0,
"id" : "1111111111"
},
"2222222222" : {
"chips" : 0,
"id" : "2222222222"
}
}
}
This is what I have tried.
db.getCollection('test').updateMany({"hostUser":"1111111111"},
{"$set":{"hostUser":"2222222222"},"$unset":{"members.1111111111":""}})
This is how you would handle unset and set in a single call to updateMany. Can you please clarify what you meant by "check if the values exist in the member field"?
db.getCollection('test').updateMany(
{"hostUser":"1111111111"},
{
'$set': {"hostUser":"2222222222"} ,
'$unset': {"members.1111111111":""}
}
)
I subscribed to my servers's publication as follows:
Template.observedQuestions.onCreated(function(){
var self = this;
self.autorun(function(){
self.subscribe('observedQuestionsFeed');
});
});
Now I need to fetch my data using helper function:
Template.observedQuestions.helpers({
observedQuestionsList : function(){
questions = Questions.find({
observedByUsers : {$exists: true,$elemMatch:{$eq:Meteor.userId()}}});
return questions;
}
});
but it does not work due to $eq being not recognised in minimongo.
How to solve it?
doc sample:
{
"_id" : "rP4JP8jkprwwi3ZCp",
"qUserId" : "NLLW3RBXqnbSGuZ3n",
"type" : "question",
"date" : ISODate("2016-02-13T11:23:10.845Z"),
"subject" : "test",
"question" : "test",
"replies" : [
{
"rID" : "LphcqKnkTHf25SCwq",
"rUserID" : "NLLW3RBXqnbSGuZ3n",
"date" : ISODate("2016-02-13T11:23:10.847Z"),
"answer" : "reply1."
},
{
"rID" : "HxaohnEgxwNJLtf2z",
"rUserID" : "NLLW3RBXqnbSGuZ22",
"date" : ISODate("2016-02-13T11:23:10.848Z"),
"answer" : "reply2"
}
],
"observedByUsers" : [ "Bi24LGozvtihxFrNe" ]
}
Judging from your sample Questions document, the field observedByUsers is a simple array which contains user IDs.
As a result, you could simply use the following query:
Questions.find({observedByUsers: Meteor.userId()});
I need get a specific object in array of array in MongoDB.
I need get only the task object = [_id = ObjectId("543429a2cb38b1d83c3ff2c2")].
My document (projects):
{
"_id" : ObjectId("543428c2cb38b1d83c3ff2bd"),
"name" : "new project",
"author" : ObjectId("5424ac37eb0ea85d4c921f8b"),
"members" : [
ObjectId("5424ac37eb0ea85d4c921f8b")
],
"US" : [
{
"_id" : ObjectId("5434297fcb38b1d83c3ff2c0"),
"name" : "Test Story",
"author" : ObjectId("5424ac37eb0ea85d4c921f8b"),
"tasks" : [
{
"_id" : ObjectId("54342987cb38b1d83c3ff2c1"),
"name" : "teste3",
"author" : ObjectId("5424ac37eb0ea85d4c921f8b")
},
{
"_id" : ObjectId("543429a2cb38b1d83c3ff2c2"),
"name" : "jklasdfa_XXX",
"author" : ObjectId("5424ac37eb0ea85d4c921f8b")
}
]
}
]
}
Result expected:
{
"_id" : ObjectId("543429a2cb38b1d83c3ff2c2"),
"name" : "jklasdfa_XXX",
"author" : ObjectId("5424ac37eb0ea85d4c921f8b")
}
But i not getting it.
I still testing with no success:
db.projects.find({
"US.tasks._id" : ObjectId("543429a2cb38b1d83c3ff2c2")
}, { "US.tasks.$" : 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 $unwind since US is an array.
Don't know what you are doing (so realy can't tell and just sugesting) but you might want to examine if your schema (and mongodb) is ideal for your task because the document looks just like denormalized relational data probably a relational database would be better for you.
I am newbie in MongoDB. I have stored data inside mongoDB in below format
"_id" : ObjectId("51d5725c7be2c20819ac8a22"),
"chrom" : "chr22",
"pos" : 17060409,
"information" : [
{
"name" : "Category",
"value" : "3"
},
{
"name" : "INDEL",
"value" : "INDEL"
},
{
"name" : "DP",
"value" : "31"
},
{
"name" : "FORMAT",
"value" : "GT:PL:GQ"
},
{
"name" : "PV4",
"value" : "1,0.21,0.00096,1"
}
],
"sampleID" : "Job1373964150558382243283"
I want to update the value to 11 which has the name as Category.
I have tried below query:
db.VariantEntries.update({$and:[ { "pos" : 117199533} , { "sampleID" : "Job1373964150558382243283"},{"information.name":"Category"}]},{$set:{'information.value':'11'}})
but Mongo replies
can't append to array using string field name [value]
How one can form a query which will update the particular value?
You can use the $ positional operator to identify the first array element to match the query in the update like this:
db.VariantEntries.update({
"pos": 17060409,
"sampleID": "Job1373964150558382243283",
"information.name":"Category"
},{
$set:{'information.$.value':'11'}
})
In MongoDB you can't adress array values this way. So you should change your schema design to:
"information" : {
'category' : 3,
'INDEL' : INDEL
...
}
Then you can adress the single fields in your query:
db.VariantEntries.update(
{
{"pos" : 117199533} ,
{"sampleID" : "Job1373964150558382243283"},
{"information.category":3}
},
{
$set:{'information.category':'11'}
}
)