MySQL update with Join to Mongo Aggregate with Lookup - mongodb

Question

I'm migrating from MySQL to MongoDB. In this process I want to rewrite the following MySQL query:
This query is used to add additional information to the minutes table (adding the program, title, broadcaster and program_id (prid) to the other table)
UPDATE etl_staging.sko_minutes minut
JOIN etl_staging.sko_daily AS daily ON
minut.channel = daily.channel AND
(minut.C BETWEEN daily.start_datetime and daily.end_datetime)
set minut.sko_frequency = daily.sko_frequency,
minut.programma = daily.programma,
minut.titel = daily.titel,
minut.omroep = daily.omroep,
minut.prid = daily.prid
WHERE daily.doelgroep = '6+'
AND daily.universe = 'Currency'
Now i'm trying to rewrite it to the following... Only i found out that i could not make a join in MongoDB. Was looking at something like this. But that returns an empty minutes array as field to the minutes document.
db.sko_minutes.aggregate(
[
{ $lookup: {
from: "sko_daily",
let: { channel: "$channel", start_datetime: "$start_datetime", end_datetime: "$end_datetime",
doelgroep: "$doelgroep", universe: "$universe"},
pipeline: [
{ $match: {
$expr: {
$and: [
{ $eq: ["$$universe", 'Currency']},
{ $eq: ["$$doelgroep", '6+']},
{ $eq: ["$channel", "$$channel"]},
{ $gte: ["$datetime", "$$start_datetime"]},
{ $lte: ["$datetime", "$$end_datetime"]}
]
}
}}
],
as: 'minutes'
}}
]
)
Does anybody have an idea what would be the best approach for this problem?
The documents of the sko_minutes looks like this:
{
"_id": {"$oid": "5fbb8b85336e42949248fb1b"},
"abs": 0,
"channel": "vicetv",
"date": {"$date": "2020-11-22T00:00:00.000Z"},
"datetime": {"$date": "2020-11-22T09:20:00.000Z"},
"hour": 9,
"kta": 0,
"minutes": "20",
"start_time": "09:20:00"
},
And the daily document looks like this:
{
"_id": {"$oid": "5fbb8afb4cab8a4ce5acac5f"},
"abs": 0,
"brk": 0,
"channel": "net5",
"date": "2020-11-18",
"doelgroep": "20-34",
"duration": "47",
"end_date": "2020-11-18",
"end_datetime": {"$date": "2020-11-18T01:12:00.000Z"},
"end_hour": "1",
"end_minutes": "12",
"end_time": "25:12:59",
"hour": "0",
"kdh": 0,
"kta": 0,
"minutes": "12",
"omroep": "net5",
"prid": "694949124",
"programma": "vtwonenverbouwenofverhuizen",
"sko_frequency": "overige herhaling",
"start_datetime": {"$date": "2020-11-18T00:12:00.000Z"},
"start_time": "24:12:00",
"titel": "Vtwonen verbouwen of verhuizen",
"universe": "UGK1-6",
"waardering": 0,
"webtv_gaas": 0,
"webtv_nstreams": 0
},

Answer 1

Brings part of sko_daily to sko_minutes
let fields are from sko_minutes: date, datetime, channel
this fields are matched to daily
You also require a subset of sko_daily, using filters.
Mind you that I tweaked the date fields, and some data, just to make mongoplayground work.
Playground
db.sko_minutes.aggregate([
{
$lookup: {
/**$$ are from sko_minutes*/
from: "sko_daily",
let: {
"start_datetime": "$date",
"end_datetime": "$datetime",
channel: "$channel"
},
pipeline: [
{
$match: {
$expr: {
$and: [
{
$eq: [
"$universe",
"Currency"
]
},
{
$eq: [
"$doelgroep",
"6+"
]
},
{
$eq: [
"$$channel",
"$channel"
]
},
{
$gte: [
"$$start_datetime",
"$start_datetime"
]
},
{
$lte: [
"$$end_datetime",
"$end_datetime"
]
}
]
}
}
}
],
as: "minutes"
}
}
])