There are a couple of ways to achieve dynamic values in the $match stage of your aggregation pipeline, depending on the programming language you’re using:
Using Parameterized Queries:
This approach involves creating a template query with placeholders for the dynamic values and then filling them in before executing the query. Here’s an example (assuming JavaScript):
constobjectId = "6645fe11b73219a4791ffe6c";
conststartDate = newDate("2023-01-01");
constendDate = newDate("2024-12-31");
constpipeline = [
{
$match: {
_id: ObjectId(objectId),
"periodActivity.period.start": { $gte: startDate },
"periodActivity.period.end": { $lte: endDate },
}
}
];
// Execute the aggregation with the dynamic values// (This part will depend on your specific database library)// ...
Building the Query Dynamically:
Here, you construct the entire $match stage dynamically using string manipulation or object construction:
constmatchStage = {
$match: {
_id: ObjectId("6645fe11b73219a4791ffe6c"),
"periodActivity.period.start": { $gte: newDate("2023-01-01") },
"periodActivity.period.end": { $lte: newDate("2024-12-31") },
}
};
// Modify the dynamic parts of the match stage
matchStage.$match["periodActivity.period.start"].$gte = newDate(yourStartDate);
matchStage.$match["periodActivity.period.end"].$lte = newDate(yourEndDate);
constpipeline = [matchStage];
// Execute the aggregation with the modified pipeline// (This part will depend on your specific database library)// ...
`
I hope the information may help you.
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