Precision is the number of significant digits. Oracle guarantees the
portability of numbers with precision ranging from 1 to 38.
Scale is the number of digits to the right (positive) or left (negative)
of the decimal point. The scale can range from -84 to 127.
Worth noting this isn't specifically an Oracle thing, most financial systems need to be sure that it can store currency numbers accurately and this convention is widely used to ensure this.
Typically when dealing with currencies scale is only used to represent the units less than whole unit of the currency, i.e. cents and pence. But there isn't anything that restricts it from being used to accommodate larger numbers with the use of negative scales.
<CcyNtry>
<CtryNm>UNITED STATES OF AMERICA (THE)</CtryNm>
<CcyNm>US Dollar</CcyNm>
<Ccy>USD</Ccy>
<CcyNbr>840</CcyNbr>
<CcyMnrUnts>2</CcyMnrUnts>
</CcyNtry>
The CcyMnrUnts property denotes 2 decimal places for the sub-unit of the dollar.
So for the above example of 99999.999 you would store an amount of 99999999 and a scale of 3.
So that it can be an integer with an arbitrary length, or a float/double without precision problems. You can also let our own integer classes do the parsing (which might even be able tonhandle complex types).
After all, everything in JSON is a string since it doesn't have a binary format and it shouldn't cause a huge overhead to do the parsing yourself (that might depend on the library, though).
I find that many financial technology companies opt to store currency as strings. The small overhead is typically well worth freedom from floating-point errors.
Any text format is a technically a string. Just because some numeric token has no double quotes around it doesn't mean it isn't a string (in that representation).
It's just that we can have some lexical rules that if that piece of text has the right kind of squiggly tail or whatever, it is always treated as a decimal float instead of every programmer working with it individually having to deal with an ad hoc string to decimal type conversion.
Until you need to deal with decimals instead of floats, then you are going to hate yourself because you have to pull in some third party library because the language treats every single number as a float (and floating point errors are a lot more common than most people think even when they are adding together simple numbers).
Sure, but most other languages have built-in support for decimal types. Java has BigDecimal, as does Ruby, Python has the decimal module, C# has System.Decimal, the list goes on.
Javascript doesn't even have proper integers to guarantee the functioning of this correctly, it's a really sad state.
I just did some ownership percentage stuff where it's not uncommon to go 16 decimal places out...working with JavaScript on this was a pain. Never thought I'd care about that .00000000000001 difference hah...
Ion has functions to turn Ion into JSON which will, of course, lose information. Annotations are dropped, decimals turn into a JSON number type which may lose precision, etc.
What does JavaScript do with this though, just cast it to a float?