To calculate timestamp difference, use aggregate framework. Let us first create a collection with documents −
> db.timestampDifferenceDemo.insertOne({
"MovieBeginningTime": new ISODate("2019-05-12 10:20:30"),
"MovieEndingTime":new ISODate("2019-05-12 12:30:20")
});
{
"acknowledged" : true,
"insertedId" : ObjectId("5cd7ba1f6d78f205348bc644")
}
> db.timestampDifferenceDemo.insertOne({
"MovieBeginningTime": new ISODate("2019-05-12 04:00:00"),
"MovieEndingTime":new ISODate("2019-05-12 07:10:00")
});
{
"acknowledged" : true,
"insertedId" : ObjectId("5cd7ba3b6d78f205348bc645")
}Following is the query to display all documents from a collection with the help of find() method −
> db.timestampDifferenceDemo.find().pretty();
This will produce the following output −
{
"_id" : ObjectId("5cd7ba1f6d78f205348bc644"),
"MovieBeginningTime" : ISODate("2019-05-12T10:20:30Z"),
"MovieEndingTime" : ISODate("2019-05-12T12:30:20Z")
}
{
"_id" : ObjectId("5cd7ba3b6d78f205348bc645"),
"MovieBeginningTime" : ISODate("2019-05-12T04:00:00Z"),
"MovieEndingTime" : ISODate("2019-05-12T07:10:00Z")
}Following is the query to calculate timestamp difference in MongoDB (in hours) −
> db.timestampDifferenceDemo.aggregate([
{$project: {
DifferenceInHours: {$divide: [{$subtract: ["$MovieEndingTime", "$MovieBeginningTime"]}, 3600000]}
}}
]);This will produce the following output −
{ "_id" : ObjectId("5cd7ba1f6d78f205348bc644"), "DifferenceInHours" : 2.1638888888888888 }
{ "_id" : ObjectId("5cd7ba3b6d78f205348bc645"), "DifferenceInHours" : 3.1666666666666665 }