I have a list of documents like this.
[
{
"name" : "test",
"data" : [
{ "code" : "name", "value" : "Diego" },
{ "code" : "nick", "value" : "Darko" },
{ "code" : "special", "value" : true }
]
},
{
"name" : "another",
"data" : [
{ "code" : "name", "value" : "Antonio" },
{ "code" : "nick", "value" : "Tony" }
]
}
]
now I need to find all the documents that:
a) don't contain a "data" item with code "special"
OR
b) contains a "data" item with code "special" and value false
It's like I needed the opposite of $elemMatch or I'm missing something?
I'm assuming that you're inserting each document in your list of documents as a separate member of a collection test.
For a,
db.test.find({ "data.code" : { "$ne" : "special" } })
For b.,
db.test.find({ "data" : { "$elemMatch" : { "code" : "special", "value" : false } } })
Combining the two with $or,
db.test.find({ "$or" : [
{ "data.code" : { "$ne" : "special" } },
{ "data" : { "$elemMatch" : { "code" : "special", "value" : false } } }
] })
Hope this $nin will solve your issues.
I insertd your docs into "so" collection
db.so.find({}).pretty();
{
"_id" : ObjectId("5489cd4f4cb16307b808d4b2"),
"name" : "test",
"data" : [
{ "code" : "name",
"value" : "Diego"
},
{ "code" : "nick",
"value" : "Darko"
},
{ "code" : "special",
"value" : true
}
]
}
{
"_id" : ObjectId("5489cd674cb16307b808d4b3"),
"name" : "another",
"data" : [
{"code" : "name",
"value" : "Antonio"
},
{ "code" : "nick",
"value" : "Tony"
}
]
}
don't contain a "data" item with code "special"
> db.so.find({"data.code":{$nin:["special"]}}).pretty();
{
"_id" : ObjectId("5489cd674cb16307b808d4b3"),
"name" : "another",
"data" : [
{ "code" : "name",
"value" : "Antonio"
},
{ "code" : "nick",
"value" : "Tony"
}
]
}
contains a "data" item with code "special" and value false
db.so.find({$and:[{"data.code":"special"},{"data.value":false}]}).pretty();
Related
I'm working with MongoDB and I've 2 collections.
data collection ["user-profile"]
{
"_id" : ObjectId("60650e6fc4b4603e1e78bb23"),
"firstName" : "Luthfan",
"lastName" : "Difiesa",
"mobile" : "86742633497",
"gender" : "male",
"createdOn" : ISODate("2021-04-22T05:26:07.428+0000"),
"updatedOn" : ISODate("2021-04-22T05:26:55.218+0000")
}
data collection ["user-wishlist"]
{
"_id" : ObjectId("60650e7a1a4a817a1dd0a29c"),
"userId" : "86742633497",
"contents" : [
{
"_id" : ObjectId("5ef9d2da228f840bbd41649c"),
"name" : "Kelas 11"
}
]
}
expected output:
{
"_id" : ObjectId("60650e6fc4b4603e1e78bb23"),
"firstName" : "Luthfan",
"lastName" : "Difiesa",
"mobile" : "86742633497",
"gender" : "male",
"contents" : [
{
"_id" : ObjectId("5ef9d2da228f840bbd41649c"),
"name" : "Kelas 11"
}
]
}
Here's the query:
db.getCollection("user-profile").aggregate(
[
{
"$lookup" : {
"from" : "user-wishlist",
"localField" : "mobile",
"foreignField" : "userId",
"as" : "contents"
}
}
],
{
"allowDiskUse" : false
}
);
But the result is like this:
{
"_id" : ObjectId("60650e6fc4b4603e1e78bb23"),
"firstName" : "Luthfan",
"lastName" : "Difiesa",
"mobile" : "86742633497",
"gender" : "male",
"contents" : [
]
}
is't because of collection name using special character or type data from foreign or localField? thank u...
Your query looks good, just need add a stage after lookup to achieve your desire result,
{
$addFields: {
contents: {
$arrayElemAt: ["$contents.contents", 0]
}
}
}
Playground
I have this data in database.
{
"_id" : ObjectId("5a6ef287370ff5dc3d6fda7b"),
"name" : "Jhones Crows",
"hobbies" : [
{
"name" : "swim",
"_id" : ObjectId("5a6ef287370ff5dc3d6fda7b")
},
{
"name" : "run",
"_id" : ObjectId("5a6ef287370ff5dc3d6fda7c")
}
]
}
And I try to add data into hobbies if data in hobbies not exist. I try this :
db.getCollection('milo').update(
{'_id' : ObjectId("5a6ef287370ff5dc3d6fda7b"), 'hobbies.name' : 'sport'},
{ $addToSet : { 'hobbies' : {
'name' : 'sport',
}}
},
{upsert : true}
)
And I want data result like this :
{
"_id" : ObjectId("5a6ef287370ff5dc3d6fda7b"),
"name" : "Jhones Crows",
"hobbies" : [
{
"name" : "swim",
"_id" : ObjectId("5a6ef287370ff5dc3d6fda7b")
},
{
"name" : "run",
"_id" : ObjectId("5a6ef287370ff5dc3d6fda7c")
},
{
"name" : "sport",
"_id" : ObjectId("5a6ef287370ff5dc3d6fda7a")
}
]
}
so suppose the value of sport is not in hoobies.name. will add a new name object in the hobbies. but if there is not change anything
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}})
There is a colloction, that have multi subdocument per document as follow:
db.test.insert(
{
"username" : " user1",
"Items" : [
{
"name" : "Total",
"value" : 53951
},
{
"name" : "n1",
"value" : 5711
},
{
"name" : "n2",
"value" : 5477
},
{
"name" : "n3",
"value" : 11444
}
]
})
db.test.insert(
{
"username" : " user2",
"Items" : [
{
"name" : "Total",
"value" : 43951
},
{
"name" : "n1",
"value" : 5011
},
{
"name" : "n2",
"value" : 5117
},
{
"name" : "n3",
"value" : 1444
}
]
})
db.test.insert(
{
"username" : " user3",
"Items" : [
{
"name" : "Total",
"value" : 51421
},
{
"name" : "n1",
"value" : 5241
},
{
"name" : "n2",
"value" : 1477
},
{
"name" : "n3",
"value" : 9244
}
]
})
I want to select Items that its name is "Total" as following:
{
"username" : " user1",
"Items" : [
{
"name" : "Total",
"value" : 53951
}
]
}
{
"username" : " user2",
"Items" : [
{
"name" : "Total",
"value" : 43951
}
]
}
{
"username" : " user3",
"Items" : [
{
"name" : "Total",
"value" : 51421
}
]
}
I used some queries like db.test.find({"Items.name":"Total"},{"Items.name":1,"Items.value":1}) . But its not correct.
Do is any way, or I should change Data Structure?
db.test.find({Items:{$elemMatch:{name:'Total'}}});
For more information check MongoDB docs.
I have colletions containing records like
{ "type" : "me", "tid" : "1" }
{ "type" : "me", "tid" : "1" }
{ "type" : "me", "tid" : "1" }
{ "type" : "you", "tid" : "1" }
{ "type" : "you", "tid" : "1" }
{ "type" : "me", "tid" : "2" }
{ "type" : "me", "tid" : "2"}
{ "type" : "you", "tid" : "2"}
{ "type" : "you", "tid" : "2" }
{ "type" : "you", "tid" : "2"}
I have want result like below
[
{"tid" : "1","me" : 3,"you": 2},
{"tid" : "2","me" : 2,"you": 3}
]
I have tried group and; aggregate queries doesn't get required result format.
below is the group query.
db.coll.group({
key: {tid : 1,type:1},
cond: { tid : { "$in" : [ "1","2"]} },
reduce: function (curr,result) {
result.total = result.total + 1
},
initial: { total : 0}
})
it result is like
[
{"tid" : "1", "type" : "me" ,"total": 3 },
{"tid" : "1","type" : "you" ,"total": 2 },
{"tid" : "2", "type" : "me" ,"total": 2 },
{"tid" : "2","type" : "you" ,"total": 3 }
]
following is aggregate query
db.coll.aggregate([
{$match : { "tid" : {"$in" : ["1","2"]}}},
{$group : { _id : {tid : "$tid",type : "$type"},total : {"$sum" : 1}}}
])
gives following result
{
"result" :
[
{"_id" : {"tid" : "1","type" : "me"},"total" : 3},
{"_id" : {"tid" : "2","type" : "me" },"total" : 2},
{"_id" : {"tid" : "2","type" : "you"},"total" : 3}
]
"ok" : 1
}
it is possible to obtain I specified result or I have to do some manipulation in my code.
Thanks
If you change your aggregation to this:
db.so.aggregate([
{ $match : { "tid" : { "$in" : ["1", "2"] } } },
{ $group : {
_id : { tid : "$tid", type : "$type" },
total : { "$sum" : 1 }
} },
{ $group : {
_id : "$_id.tid",
values: { $push: { type: "$_id.type", total: '$total' } }
} }
])
Then your output is:
{
"result" : [
{
"_id" : "1",
"values" : [
{ "type" : "you", "total" : 2 },
{ "type" : "me", "total" : 3 }
]
},
{
"_id" : "2",
"values" : [
{ "type" : "me", "total" : 2 },
{ "type" : "you", "total" : 3 }
]
}
],
"ok" : 1
}
Although that is not the same as what you want, it is going to be the closest that you can get. And in your application, you can easily pull out the values in the same was as with what you would like to get out of it.
Just keep in mind, that in general you can not promote a value (you, me) to a key — unless your key is of a limited set (3-4 items max).