Hi this is an example of my structure.
"_id" : ObjectId("12312341234cf123cc123456"),
"internetMessageId" : "<1234#1234asdfasc.COM>",
"ccRecipients" : [
{
"emailAddress" : {
"name" : "Joe"
"address" : "joe#gmail.com"
}
},
{
"emailAddress" : {
"name" : "Marc",
"address" : "marc#gmail.com"
}
}
],
"toRecipients" : [
{
"emailAddress" : {
"name" : "Mary"
"address" : "mary#gmail.com"
}
},
{
"emailAddress" : {
"name" : "Frank",
"address" : "frank#gmail.com"
}
}
],
"bccRecipients" : [],
"from" : {
"emailAddress" : {
"name" : "Juan",
"address" : "juan#gmail.com"
}
}
}
I have several duplicated documents as above and I want to keep only one of them. I understand that I should create a unique combination of columns from, internetMessadeId, toRecipients, ccRecipients, and bccRecipients but I'm struggling to put it all together.
Thanks for any help.
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 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'm still new to MongoDB and non-relational databases in general so if the answer to my question is "Dude, you're thinking about your data in the wrong way", please let me know.
That being said, here's what I'm after. I have the following data:
{
"_id" : ObjectId("549b26b370b452eeb6acecd3"),
"user" : "54530e03c575dc86d61d22f8",
"workHistory" : [
{
"description" : "",
"endDate" : null,
"name" : "My Company",
"skills" : [
{
"_id" : ObjectId("549b29c970b452eeb6acecd4")
},
{
"_id" : ObjectId("549b29c970b452eeb6acecd5")
},
{
"_id" : ObjectId("549b29c970b452eeb6acecda")
},
{
"_id" : ObjectId("549b29c970b452eeb6acecdb")
},
{
"_id" : ObjectId("549b29c970b452eeb6acecdd")
},
{
"_id" : ObjectId("549b29c970b452eeb6acece9")
},
{
"_id" : ObjectId("549b29c970b452eeb6acecea")
},
{
"_id" : ObjectId("549b995b70b452eeb6acecf9")
},
{
"_id" : ObjectId("549b999470b452eeb6acecfa")
},
{
"_id" : ObjectId("549b9ab670b452eeb6acecfb")
}
],
"startDate" : "2013-10-01"
},
{
"description" : "",
"endDate" : "2013-10-01",
"name" : "Another Company",
"skills" : [
{
"_id" : ObjectId("549b29c970b452eeb6acecd4")
},
{
"_id" : ObjectId("549b29c970b452eeb6acecd5")
},
{
"_id" : ObjectId("549b29c970b452eeb6acecdb")
},
{
"_id" : ObjectId("549b29c970b452eeb6acecdd")
},
{
"_id" : ObjectId("549b29c970b452eeb6acece1")
},
{
"_id" : ObjectId("549b29c970b452eeb6acece9")
},
{
"_id" : ObjectId("549b995b70b452eeb6acecf9")
}
],
"startDate" : "2012-04-01"
},
.....
What I am trying to do is resolve that data I can list the actual skill names under "skills" instead of just object ID's. For reference here's the skills collection:
/* 0 */
{
"_id" : ObjectId("549b29c970b452eeb6acecd4"),
"name" : "CSS",
"description" : ""
}
/* 1 */
{
"_id" : ObjectId("549b29c970b452eeb6acecd5"),
"name" : "HTML5",
"description" : ""
}
/* 2 */
{
"_id" : ObjectId("549b29c970b452eeb6acecd6"),
"name" : "Ruby",
"description" : ""
}
/* 3 */
{
"_id" : ObjectId("549b29c970b452eeb6acecd7"),
"name" : "Ruby on Rails",
"description" : ""
}
I've tried looking into using MapReduce to do some kind of join, but I can barely wrap my head around it and all the examples I'm finding don't have data this complex.
What's the best approach for getting my desired result? Side note: I'm not 100% sure that simply embedding the skills in the "skills" property is the right approach. I'm trying to keep them separate because the skills may be listed in other areas of my application separate from work history.
I have a mongodb with a table named Patient. When I display the content with MongoVUE I see my Patients in this format:
/* 0 */
{
"_id" : ObjectId("547c4aa9dbe9665042dddf76"),
"Patient" : {
"Maidenname" : { },
"Phone" : {
"Type" : { },
"Number" : { }
},
"Citizenship" : { },
"SSN" : 1234567,
"Profession" : { },
"systemUID" : { },
"lid" : 111,
"system" : "abc",
"Address" : {
"Street" : { },
"State" : { },
"Zip" : { },
"Country" : { },
"City" : { }
},
"Lastname" : "asdf",
"Firstname" : "Test",
"Birthdate" : 19000101,
"Identifier" : {
"id" : 123,
"system" : "abc",
"UID" : { }
}
}
}
I would like to make a find on the field Firstname with value Test, this is my query:
db.Patient.find({Firstname:"Test"})
But it returns 0 rows.
I also tried this one:
db.Patient.find({Patient : {Firstname:"Test"}})
Also 0 rows returned.
When I do a find like this:
db.Patient.find()
I get all data. (also the one with "Firstname" : "Test")
Can anyone help me with that find query?
Should try this it work well
db.patiens.find({"Patient.Firstname":"Test"})
Since Firstname is in Patient object, it is its property you need to select is as
db.Patient.find({"Patient.Firstname":"Test"})
I need a way to find inside nested array documents.
I want to find value matching inside street_1.
this is my query:
db.phonebook.find({'address.home.street_1' : 'street 1 result'});
and my document:
{
"_id" : ObjectId("53788c0c74d3ead0098b4568"),
"first_name" : "jarod",
"last_name" : "petters",
"company" : "nostromos",
"phone_numbers" : [
{
"cell" : "0752203337"
},
{
"home" : "0850819201"
},
{
"home" : "0499955550"
}
],
"website" : "http://www.mywebsite.com",
"email" : [
{
"home" : "email.first.com"
},
{
"office" : "email.second.com"
}
],
"address" : [
{
"home" : {
"stree_1" : "street 1 result",
"stree_2" : "",
"postal_code" : "66502",
"city" : "my littre city",
"country" : "usa"
}
}
],
"nationality" : "mars",
"date_of_birth" : "1978-01-01"
}
Your query is the good one. But your document is not good, you have done a mistake in your document, you write stree_1 instead of street_1. If your document is right, change your query to :
db.phonebook.find({'address.home.stree_1' : 'street 1 result'});