Arrays 如何在mongo db聚合中以数组形式获取数据
假设这是我的数据模式Arrays 如何在mongo db聚合中以数组形式获取数据,arrays,database,mongodb,aggregation-framework,aggregate-functions,Arrays,Database,Mongodb,Aggregation Framework,Aggregate Functions,假设这是我的数据模式 { "_id" : ObjectId("5f90ed2954d61feed1720603"), "date" : ISODate("2020-10-22T00:00:00Z"), "worker_full_name" : "JOHN DOE", "worker_department" : "Wo
{
"_id" : ObjectId("5f90ed2954d61feed1720603"),
"date" : ISODate("2020-10-22T00:00:00Z"),
"worker_full_name" : "JOHN DOE",
"worker_department" : "Worker Department",
"type" : "Worker",
"site_name" : "DL LIMITED",
"in_time" : ISODate("2020-10-22T07:53:35Z"),
"attendance_points" : 2,
"out_time" : ISODate("2020-10-22T22:03:41Z"),
"duration" : 14,
"attendance_count" : 2,
"wage" : 580,
"in_location" : "Countryside Avenue",
"worker_aadhar_card_number" : "xxxxxxxxxxxx",
"out_location" : "Golf Drive",
"worker_id" : ObjectId("5f12ea794fdb64e82ce68fac")
}
{
"_id" : ObjectId("5f90ed2754d61feed17205fe"),
"date" : ISODate("2020-10-22T00:00:00Z"),
"worker_full_name" : "JOHN DOE 2",
"worker_department" : "Worker Department",
"type" : "Worker",
"site_name" : "DL LIMITED",
"in_time" : ISODate("2020-10-22T07:53:34Z"),
"attendance_points" : 2,
"out_time" : ISODate("2020-10-22T22:24:02Z"),
"duration" : 14,
"attendance_count" : 2,
"wage" : 0,
"in_location" : "Countryside Avenue",
"worker_aadhar_card_number" : "xxxxxxxxxxxx",
"out_location" : "Countryside Avenue",
"worker_id" : ObjectId("5f688cf2df29927bfb8531eb")
}
我正在做以下工作:
my_collection.aggregate([{'$match': {'date': {"$gte": start_date, "$lte": end_date},
'worker_full_name': {"$exists": 'true'},
"site_name": site_name
}},
{"$group": {'_id': {
'worker_id': '$worker_id',
'worker_full_name': '$worker_full_name'
},
'present_days': {'$sum': 1},
'total_shift_points': {'$sum': '$attendance_points'}
}}
])
通过这样做,我能够实现以下输出:
{'_id': {'worker_id': ObjectId('5f688cf2df29927bfb8531d6'), 'worker_full_name': 'JOHN DOE'}, 'present_days': 22, 'total_shift_points': 38.25}
{'_id': {'worker_id': ObjectId('5f66130f94c75522f314dbc0'), 'worker_full_name': 'JOHN DOE 2'}, 'present_days': 19, 'total_shift_points': 35.25}
{'_id': {'worker_id': ObjectId('5f66130e94c75522f314db99'), 'worker_full_name': 'JOHN DOE 3'}, 'present_days': 23, 'total_shift_points': 42.75}
{'_id': {'worker_id': ObjectId('5f27b678749921225e5df98c'), 'worker_full_name': 'JOHN DOE 4 '}, 'present_days': 22, 'total_shift_points': 38.25}
{'_id': {'worker_id': ObjectId('5f6f2ac0b112533f081c3bae'), 'worker_full_name': 'JOHN DOE 5'}, 'present_days': 21, 'total_shift_points': 36.75}
但有什么方法可以得到这样一个数组中的所有点吗?下面是我想要的输出,其中我单个查询返回一个每日出勤点数组及其相应的日期:
{'_id': {'worker_id': ObjectId('5f688cf2df29927bfb8531d6'),
'worker_full_name': 'JOHN DOE'},
'present_days': 22,
'total_shift_points': 38.25 ,
'daily_points_stats':[
{ISODate("2020-10-01T00:00:00Z"):2},
{ISODate("2020-10-02T00:00:00Z"):1.5}
{ISODate("2020-10-03T00:00:00Z"):1}
{ISODate("2020-10-04T00:00:00Z"):1.25}
..
..for all the days
]}
或者像这样:
{'_id': {'worker_id': ObjectId('5f688cf2df29927bfb8531d6'),
'worker_full_name': 'JOHN DOE'},
'present_days': 22,
'total_shift_points': 38.25 ,
'daily_points_stats':[
{"date":ISODate("2020-10-01T00:00:00Z"),"points":2},
{"date":ISODate("2020-10-02T00:00:00Z"),"points":1.5},
{"date":ISODate("2020-10-03T00:00:00Z"),"points":1},
{"date":ISODate("2020-10-04T00:00:00Z"),"points":1.25},
..
..for all the days
]}
您可以使用
$push
在$group
内创建数组
{
"$group": {
"_id": {
"worker_id": "$worker_id",
"worker_full_name": "$worker_full_name"
},
// like this
daily_points_stats: {
$push: {
date: "$date",
points: "$attendance_count"
}
},
"present_days": { "$sum": 1 },
"total_shift_points": { "$sum": "$attendance_points" }
}
}
如果你想要一个对象,你可以试试
- $push k(键)和v(值),将键转换为字符串类型,因为其日期类型使用
$toString
使用$addFields
$arrayToObject
{
"$group": {
"_id": {
"worker_id": "$worker_id",
"worker_full_name": "$worker_full_name"
},
daily_points_stats: {
$push: {
k: { $toString: "$date" },
v: "$attendance_count"
}
},
"present_days": { "$sum": 1 },
"total_shift_points": { "$sum": "$attendance_points" }
}
},
{
$addFields: {
daily_points_stats: {
$arrayToObject: "$daily_points_stats"
}
}
}