Find all employees who possess 4 experiences. Show only the employee's information.
Below is the database in question
db.empeProject.insert([ {
"Employee": [ { "empeId": "e001",
"fName": "James",
"lName": "Bond",
"email": "[email protected]",
"experience": [
"Database Design",
"SQL",
"Java" ]
},
{ "empeId": "e002",
"fName": "Harry",
"lName": "Potter",
"experience": [
"Data Warehouse",
"SQL",
"Spark Scala",
"Java Scripts" ]
} ],
"Project": [ { "projectId": "p001",
"projectTitle": "Install MongoDB" },
{ "projectId": "p002",
"projectTitle": "Install Oracle" },
{ "projectId": "p003",
"projectTitle": "Install Hadoop" } ],
"EmployeeProject": [ { "empeId": "e001",
"projectId": "p001",
"hoursWorked": 4 },
{ "empeId": "e001",
"projectId": "p003",
"hoursWorked": 2 },
{ "empeId": "e002",
"projectId": "p003",
"hoursWorked": 5 } ]
} ] );
currently what I've tried is
db.empeProject.aggregate([
{"$match":{{"$count":"$Employee.experience"}:4}},
{"$project":{"Employee.fName":1,"Employee.lName":1,"Employee.email":1,"_id":0}}
]).pretty()
I'm not so sure as to how to use $count along with $match and whether do I need group by.
CodePudding user response:
You can use $size instead of $count for the task as follow:
db.collection.aggregate([
{
"$match": {
"Employee.experience": {
$size: 3
}
}
},
{
"$addFields": {
"Employee": {
$filter: {
input: {
"$map": {
"input": "$Employee",
"as": "e",
"in": {
"$mergeObjects": [
"$$e",
{
expCount: {
$size: "$$e.experience"
}
}
]
}
}
},
"as": "ef",
"cond": {
$eq: [
"$$ef.expCount",
3
]
}
}
}
}
},
{
"$project": {
"Employee.fName": 1,
"Employee.lName": 1,
"Employee.email": 1,
"_id": 0
}
}
])
Explained:
- Match document having only people with the $size experiance
- Add size count to the array element and filter based on size
- Project only the filtered Employee fields.