You can use $cmp operator for this. To understand the concept, let us create a collection with the document. The query to create a collection with a document is as follows −
> db.matchBetweenFieldsDemo.insertOne({"FirstValue":40,"SecondValue":70});
{
"acknowledged" : true,
"insertedId" : ObjectId("5c92c9625259fcd19549980d")
}
> db.matchBetweenFieldsDemo.insertOne({"FirstValue":20,"SecondValue":5});
{
"acknowledged" : true,
"insertedId" : ObjectId("5c92c96b5259fcd19549980e")
}Display all documents from a collection with the help of find() method. The query is as follows −
> db.matchBetweenFieldsDemo.find().pretty();
The following is the output −
{
"_id" : ObjectId("5c92c9625259fcd19549980d"),
"FirstValue" : 40,
"SecondValue" : 70
}
{
"_id" : ObjectId("5c92c96b5259fcd19549980e"),
"FirstValue" : 20,
"SecondValue" : 5
}Here is the query to $match between fields in aggregation framework −
> db.matchBetweenFieldsDemo.aggregate([
... {$project: {
...
... firstGreaterThanOrNot: {$cmp: ['$FirstValue', '$SecondValue']}
... }},
... {$match: {firstGreaterThanOrNot:{$gt: 0}}}
... ]);The following is the output −
{ "_id" : ObjectId("5c92c96b5259fcd19549980e"), "firstGreaterThanOrNot" : 1 }