Hi I have a collection named \"my_sales\" having fields product_name, price, sale_date.
My doc looks like
{
\"_id\" : ObjectId(\"5458b6ee09d76eb7
You Can also check this out. If you are using this method then use parse:
db.getCollection('user').find({
createdOn: {
$gt: ISODate("2020-01-01T00:00:00.000Z"),
$lt: ISODate("2020-03-01T00:00:00.000Z")
}
})
Function without parsing: Get values using string
db, err := GetDB()
if err != nil {
return nil, err
}
defer db.Session.Close()
var date []models.User
coll := db.C(constants.USERTABLE)
findQuery := bson.M{"createdOn": bson.M{"$gt": echo.FromDate, "$lt": echo.ToDate}}
shared.BsonToJSONPrint(findQuery)
err = coll.Find(findQuery).All(&date)
if err != nil {
return nil, err
}
return date, nil
}
mgo supports time.Time for BSON dates.
So if your struct looks like this:
type Sale struct {
ProductName string `bson:"product_name"`
Price int `bson:"price"`
SaleDate time.Time `bson:"sale_date"`
}
Then you can query it like this:
fromDate := time.Date(2014, time.November, 4, 0, 0, 0, 0, time.UTC)
toDate := time.Date(2014, time.November, 5, 0, 0, 0, 0, time.UTC)
var sales_his []Sale
err = c.Find(
bson.M{
"sale_date": bson.M{
"$gt": fromDate,
"$lt": toDate,
},
}).All(&sales_his)
I have new way to query date range:
// convert to date
fromTime := time.Unix(1509358405981/1000, 0)
// Convert date to ObjectID with time
fromObjectBson := bson.NewObjectIdWithTime(fromTime)
// condition
bson.M{"_id":bson.M{"$gt": fromObjectBson}}
This will speedup your query.