We have data stored in MongoDB by country code. Our document looks like the following,
[
{
title: '1',
US: {
data: { lastReportDate: '2021-09-09' } // will be fetched
},
GB: {
data: { lastReportDate: '2021-09-04' }
}
},
{
title: '2',
US: {
data: { lastReportDate: '2021-09-07' } // will NOT be fetched
}
},
{
title: '3',
US: {
data: null // will NOT be fetched
}
},
{
title: '4',
US: {
data: null
}
GB: {
data: { lastReportDate: '2021-09-08' } // will be fetched
},
NZ: {
data: { lastReportDate: '2021-09-04' }
}
},
{
title: '5',
GB: {
data: null
},
NZ: {
data: { lastReportDate: '2021-09-06' } // will be fetched
}
}
]
I want to fetch the titles which have the latest dates according to the countries.
For EX: in the above DB, we have the latest date for US as '2021-09-09', so I want to fetch all the titles which match this date in lastReportDate. For GB, the latest date is '2021-09-08' and for NZ, its '2021-09-06'.
We have around 180 countries in one document and I want to hit the DB minimum times. So can we build a query that can us latest dates for different countries and then query the Database according to that.
CodePudding user response:
You can try below aggregation:
db.collection.aggregate([
{
$project: {
doc: {
$objectToArray:"$$ROOT"
},
title: "$title"
}
},
{
$unwind: "$doc"
},
{
$match: {
"doc.k": { $nin: [ "_id", "title" ] }
}
},
{
$group: {
_id: "$doc.k",
maxDate: { $max: "$doc.v.data.lastReportDate" },
titles: { $push: { date: "$doc.v.data.lastReportDate", title: "$title" } }
}
},
{
$project: {
_id: 0,
country: "$_id",
maxTitles: { $filter: { input: "$titles", cond: { $eq: [ "$$this.date", "$maxDate" ] } } }
}
}
])
The challenge here is that your countries are represented as keys of your document so you need to start with $obectToArray operator which in conjunction with $unwind will give you a list of countries with corresponding dates and titles.
Once you have them you can use $group to get $max date and then use $filter to get titles related to max date.