How to skip a nested level in mongodb query - mongodb

Question

I have the following document structure
{
name: 'bob',
data: [
{
sport: 'football',
data: [
{
event: 'a',
date: '1628163910'
},
{
event: 'b',
date: '1628146503'
},
// ...
]
}
]
}
If the user doesn't filter the sport, then I want my query to ignore the sport property and search all the sport arrays to filter by the date. Here's what I thought it would be, but this doesn't work?
Oddsmatcher.find(
{ `data.$[].date`: { $lte: DATE_MAX_FILTER } }
)

Answer 1

You cant skip fields, instead you should rethink your data modelling. 2 collections one for sports and one for events will do. You can then find all events irrespective of sports or with sport filter.

Answer 2

UPDATE:
With your updated model, you can query as below
Oddsmatcher.find(
{ `data.data.date`: { $lte: DATE_MAX_FILTER } }
)
As you can't skip a level, construct $or condition programmatically with a clause for each sport. This works if the sports is fixed or you have a master list of sports defined somewhere in system.
{
$or: [{
'data.football.date': {
$lte: DATE_MAX_FILTER
}
}, {
'data.horse_racing.date': {
$lte: DATE_MAX_FILTER
}
}
]
}
Or redesign you model such that sport is a field inside each event.
{
name: 'bob',
data: [{
sport: 'football',
event: 'a',
date: '1628163910'
}, {
sport: 'football',
event: 'b',
date: '1628146503'
},
{
sport: 'horse_racing'
// horse_racing events
}, {
sport: 'tennis'
// tennis events
},
// ...
]
}