How to get subarray from mongo document? [closed] - mongodb

Question

Closed. This question needs details or clarity. It is not currently accepting answers.
Want to improve this question? Add details and clarify the problem by editing this post.
Closed 9 years ago.
Improve this question
How can I fetch a subarray from document?
Here is one of documents:
"director_details": {
"0": {
"AppointmentDate": "2010-06-02",
"AppointmentStatus": "CURRENT",
"AppointmentType": "SEC",
"NumAppointments": "1",
"Person": {
"CountryOfResidence": [],
"DOB": [],
"Forename": "MARK JHONSONE",
"Nationality": "NATIONALITY UNKNOWN",
"PersonAddress": {
"AddressLine": "5 PARSONS STREET",
"Country": [],
"County": "WEST MIDLANDS",
"PostTown": "DUDLEY",
"Postcode": "DY1 1JJ"
},
"PersonID": "CSeJxNkEELgkAQhe/9CvFerlpZsK0IFUSEUFZH2dyxlnK1XY3897mG5WV48/HezDDYf2cP4wVS8VwsTHuETANEkjMurgvzGK2HM9PwyQDfoW4qLQpV0rJSBGHr32he1gUQu6WtxIzLNJcgaAZkF+y3 [...]",
"Surname": "WESTWOOD",
"Title": "MR"
}
},
"1": {
"AppointmentDate": "2010-06-02",
"AppointmentStatus": "CURRENT",
"AppointmentType": "DIR",
"NumAppointments": "1",
"Occupation": "DIRECTOR",
"Person": {
"CountryOfResidence": "UNITED KINGDOM",
"DOB": "1979-11-30",
"Forename": "MARK DAVID",
"Nationality": "BRITISH",
"PersonAddress": {
"AddressLine": "5 PARSONS STREET",
"Country": [],
"County": "WEST MIDLANDS",
"PostTown": "DUDLEY",
"Postcode": "DY1 1JJ"
},
"PersonID": "CSeJxNkN0KgkAQhe97CvG+XCt/gm0jqCAihLK6lE3HWsp129XIt881TG+GMx9nZg6DF5/sabxBKpbzuWmPkGkAj/OE8dvcPIWboW8aCzLAD6jqSoVQBS1KRRC2ukbzohJAxg1tJE6YTHMJnGZA9svD [...]",
"Surname": "WESTWOOD",
"Title": "MR"
}
}
}
I want to search director which forename contains "david" and surname & title are not empty.
I have a query that works pretty fine, but it also returns extra subarray which I want to remove from output.

Answer 1

Ok. Suppose your document is:
{
"director_details": {
"0": {
"AppointmentDate": "2010-06-02",
...
},
"1": {
"AppointmentDate": "2010-06-02",
...
}
}
}
}
First of all, director_details in you question is not an array, it's an object. And director_details.Person.Forename: /david/ will not match by a couple of reasons:
Part of object's graph is missed, a path to Forename is director_details.1.Person.Forename.
Regexs in MongoDB are case sensitive by default, you should toggle i flag to make it case-insensitive.
The correct query that will match is: db.directors.find({"director_details.1.Person.Forename" : /DAVID/}). With current data model it is not flexible at all, as you need to specify 0 or 1.
Consider making director_details an array, like:
{
"director_details": [
{
"AppointmentDate": "2010-06-02",
...
},
{
"AppointmentDate": "2010-06-02",
...
}
]
}
In this case the query is very simple:
db.directors.find({}, {"director_details" : {$elemMatch : {"Person.Forename" : /DAVID/}}})
And here is the result of running it:
> db.directors.find({}, {"director_details" : {$elemMatch : {"Person.Forename" : /DAVID/}}}).pretty()
{
"_id" : ObjectId("52455db9cafed39bf0dee631"),
"director_details" : [
{
"AppointmentDate" : "2010-06-02",
"AppointmentStatus" : "CURRENT",
"AppointmentType" : "DIR",
"NumAppointments" : "1",
"Occupation" : "DIRECTOR",
"Person" : {
"CountryOfResidence" : "UNITED KINGDOM",
"DOB" : "1979-11-30",
"Forename" : "MARK DAVID",
"Nationality" : "BRITISH",
"PersonAddress" : {
"AddressLine" : "5 PARSONS STREET",
"Country" : [ ],
"County" : "WEST MIDLANDS",
"PostTown" : "DUDLEY",
"Postcode" : "DY1 1JJ"
},
"PersonID" : "CSeJxNkN0KgkAQhe97CvG+XCt/gm0jqCAihLK6lE3HWsp129XI",
"Surname" : "WESTWOOD",
"Title" : "MR"
}
}
]
}