Suppose you have the following documents in my collection:
db.myCollection.insert({
"VEHICLE": {
"registration": "000XX",
"capacity": "50000",
"weight": "400",
"status": "AVAILABLE"
}
});
db.myCollection.insert({
"EMPLOYEE": {
"e#": "007",
"name": "James Bond",
"dob": "",
"address": "England, UK",
"hiredate": "01-APR-69",
"position": "secret agent",
"licence": "00001",
"status": "AVAILABLE",
"trips": [{
"trip number": "1",
"registration": "0023SAD",
"trip date": "19-MAR-99",
"legs": ["Kotte", "Baddagana", "London", "Darby"]
}, {
"trip number": "3",
"registration": "KKK007",
"trip date": "12-MAR-95",
"legs": ["Darby", "Thalawa", "Kotte", "Baddagana"]
}]
}
});
I want to find the names of the employees who started their journey from Kotte
This query below gives me all data that has the word Kotte in legs
db.myCollection.find({"EMPLOYEE.trips.legs":"Kotte"},{"EMPLOYEE.name":1, "_id":0}).pretty()
How do I edit the above query to only give me results if the first value of the legs is Kotte