我有以下Mongoose模式:
EmployeeSchema:
var EmployeeSchema = new Schema({
name : String,
employeeDetailsId: {
type: Schema.Types.ObjectId,
ref: 'employeedetails'
}
});
EmployeeDetailSchema:
var EmployeeDetailSchema = new Schema({
employeeId: {
type: Schema.Types.ObjectId,
ref: 'employee'
},
statusId: {
type: Schema.Types.ObjectId,
ref: 'status'
},
primarySkills: [
{
type: Schema.Types.ObjectId,
ref: 'skills'
}]
});
SkillsSchema:
var SkillsSchema = new Schema({
name: {
type: String,
required: true
}
});
以下是 EmployeeDetails 集合中保存的数据:
/* 1 */
{
"_id" : ObjectId("583fbbfe78854dd424f0523f"),
"employeeId" : ObjectId("583f114e1cff44b7ab414dc1"),
"statusId" : ObjectId("583ee05a1d5161941632091a"),
"secondarySkills" : [],
"primarySkills" : [],
"__v" : 0
}
/* 2 */
{
"_id" : ObjectId("583ff108cfa71d942269b09b"),
"employeeId" : ObjectId("583f114e1cff44b7ab414dc4"),
"statusId" : ObjectId("583ee05a1d5161941632091a"),
"secondarySkills" : [],
"primarySkills" : [],
"__v" : 0
}
/* 3 */
{
"_id" : ObjectId("5848c40599fa37d40a7e7392"),
"employeeId" : ObjectId("583f114e1cff44b7ab414dc8"),
"secondarySkills" : [
ObjectId("5838373072d7bab017488ba2")
],
"primarySkills" : [
ObjectId("5848c3c299fa37d40a7e7390"),
ObjectId("5848c3d599fa37d40a7e7391")
],
"__v" : 0
}
/* 4 */
{
"_id" : ObjectId("5848c41699fa37d40a7e7393"),
"employeeId" : ObjectId("583f114e1cff44b7ab414dc6"),
"secondarySkills" : [],
"primarySkills" : [
ObjectId("5838373072d7bab017488ba2"),
ObjectId("5848c3c299fa37d40a7e7390"),
ObjectId("5848c3d599fa37d40a7e7391")
],
"__v" : 0
}
UseCase:
当我想根据状态ID对EmployeeDetails集合进行分组时,我在Mongoose中使用了以下聚合:
EmployeeDetailsModel.aggregate([
{
$group: {_id: "$statusId", count: {$sum: 1}}
}
]).exec(...);
以类似的方式,我想基于primarySkills或secondarySkills进行分组,其中两者都是Skill ObjectID的数组。
我尝试了几种方法,但没有运气。需要一些帮助。
答案 0 :(得分:4)
因此,如果您试图获得显示具有特定技能的员工列表的结果,那么$ unwind可能会有所帮助。
db.emp.aggregate([{$unwind:"$primarySkills"},{$group:{"_id":"$primarySkills", "employees":{$push:"$employeeId"}}}])
这是结果:
{ "_id" : ObjectId("5848c3d599fa37d40a7e7391"), "employees" : [ ObjectId("583f114e1cff44b7ab414dc6"), ObjectId("583f114e1cff44b7ab414dc8") ] }
{ "_id" : ObjectId("5848c3c299fa37d40a7e7390"), "employees" : [ ObjectId("583f114e1cff44b7ab414dc6"), ObjectId("583f114e1cff44b7ab414dc8") ] }
{ "_id" : ObjectId("5838373072d7bab017488ba2"), "employees" : [ ObjectId("583f114e1cff44b7ab414dc6") ] }