From MongoDB 4.0, you can use the $toObjectId aggregation pipeline operator to convert a string to an ObjectId.
The string must be a hexadecimal string of length 24.
From MongoDB 4.0, you can use the $toObjectId aggregation pipeline operator to convert a string to an ObjectId.
The string must be a hexadecimal string of length 24.
From MongoDB 4.0, you can use the $toLong aggregation pipeline operator to convert a value to a long.
From MongoDB 4.0, you can use the $toInt aggregation pipeline operator to convert a value to an integer.
From MongoDB 4.0, you can use the $toDouble aggregation pipeline operator to convert a value to a double.
From MongoDB 4.0, you can use the $toDecimal aggregation pipeline operator to convert a value to a decimal.
From MongoDB 4.0, you can use the $toBool aggregation pipeline operator to convert a value to a boolean.
From MongoDB 4.0, you can use the $toString aggregation pipeline operator to convert a value to a string.
In MongoDB, you can use the $convert aggregation pipeline operator to convert a value to a specified type.
You can convert any valid expression to a double, string, ObjectId, boolean, Date, integer, long, or decimal.
When you convert between date and time data types in SQL Server, you need to be mindful of how the new data type will handle the value you’re trying to assign to it.
In some cases you might lose part of the value, in other cases you might gain a bunch of zeros (increasing storage size in the process). You may also end up with a value that’s been rounded up.
The following articles contain examples of conversions between the different date and time data types, with a particular focus on the issues I just mentioned.
If you have a datetimeoffset value, but you don’t need the date and time zone offset part, converting it to time will save you a lot of storage space (while removing unnecessary details from the value). This article contains examples of converting a datetimeoffset value to a time value in SQL Server.