TSQL - Large Number Datatypes - with mod function

How do I take a very very large number like: 4.7119E+219 and return the Mod?
The table will hold the value of 4.7119E+219 but when I actually try to use it in Query Analyzer it get the error below.
How can I use the mod function with very very large numbers?

select 4.7119E+219%7

Server: Msg 403, Level 16, State 1, Line 1
Invalid operator for data type. Operator equals modulo, type equals float.

The utility of this is using prime numbers to identify by factors the related records of a primary table.
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Commented:
have you tried
select convert(bigint,4.7119E+219)%7
Commented:
Don't think you'll be able to do this...

http://msdn.microsoft.com/library/en-us/tsqlref/ts_operator_5c1l.asp

This states that both the dividend and the divisor must be "any valid Microsoft® SQL Server™ expression of the integer data type category".

I think bigint might even qualify in that statement, however your number is far too large for a big int: -2^63 (-9,223,372,036,854,775,808) through 2^63-1 (9,223,372,036,854,775,807)
Senior DBACommented:
You might want to try the "Math & Science" topic area, explaining the restrictions imposed by SQL, of course.  There might be some mathematical "trick" that can be used to get the result.
Commented:
Following Scott's idea:
Essentially your number 4.7119E+219 is a 47119 followed by 216? zeros.
Lets simplify a bit, and assume it is 47119000
47119 mod 7 = 2
So essentailly the result of 47119000 mod 7 should equal 2000 mod 7 = 5
Something similar can be developed for a large number such as 4.7119E+219

Or... am I following wrong logics here.

Dabas (Retired mathematician and too lazy to check if his theory is mathematically correct)
Commented:
Just a quick check ..

This (if it worked) would actually calculate :

4,711,900,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000 MOD 7
-- 47119 + (219-4 zeroes)

(and return a number between 0 and 6.

----

Using the pattern

select (47119*cast(1 as bigint))  % 7 -- 2
select (47119*cast(10 as bigint))  % 7 -- 6
select (47119*cast(100 as bigint))  % 7 --4
select (47119*cast(1000 as bigint))  % 7 -- 5
select (47119*cast(10000 as bigint))  % 7 --1
select (47119*cast(100000 as bigint))  % 7 -- 3
select (47119*cast(1000000 as bigint))  % 7 -- 2
select (47119*cast(10000000 as bigint))  % 7 -- 6
select (47119*cast(100000000 as bigint))  % 7 -- 4

you can identify that:
(47119 * 10^x) === (47119 * 10^(x % 6 ))

This leads to the item that
(47119 * 10^215) === (47119 * 10^3 )

So:
select (47119*cast(100000 as bigint))  % 7 -- = 3

---

Caveats
1- this doesn't answer your question (How to do it in SQL)

That would be:
declare @a varchar(500)
set @a = 'select ( cast(4.7119E+'+cast((215 % 6) as varchar)+' as int) % 7 )'
print @a
exec (@a)

2 - I am tired - my maths may be wrong

3- This is probably not what you REALLY wanted.

Commented:
Oh, and
select (47119*cast(100000 as bigint))  % 7 -- = 3
Should have been:
select (4.7119*cast(100000 as bigint))  % 7 -- = 6

:-)

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Commented:
I'm not even sure what datatype you should store this kind of numbers in. I tried a float and it seems to work, but I'm not sure how correct this all is. Don't think SQL was designed with this kind of requirements in mind =)

Anyway, this following seems to work... but I wouldn't care too much for it's result because of all the rounding going on. Still it seemed like a funny challenge and this is the best I came up with. so far =)

DECLARE @amount float
DECLARE @divider float
DECLARE @test float
DECLARE @jumps float

SET @amount  = 4.7119E+219
SET @divider = 7
SET @jumps   = 2 -- I _assume_ @jumps needs to be smaller than @divider

WHILE @amount >= @divider
BEGIN
SET @test = @divider
WHILE @amount >= @test
SET @test = @test * @jumps

SET @amount = @amount - (@test / @jumps)

END

SELECT remainder = @amount
Commented:
A float is an inprecise datatype.

It means that there is no difference between (4E+200) and (4E+200) + 1 and (4E+200) + 2

Yur extract above would not work

If you run the following:

-----

DECLARE @amount float
DECLARE @divider float
DECLARE @test float
DECLARE @jumps float

SET @amount  = 4.7119E+219
SET @divider = 7
SET @jumps   = 2 -- I _assume_ @jumps needs to be smaller than @divider

WHILE @amount >= @divider
BEGIN
SET @test = @divider
WHILE @amount >= @test
BEGIN
SET @test = @test * @jumps
print ('Test = ' + cast(@test as varchar(100)))
END

SET @amount = @amount - (@test / @jumps)
print ('Amount = ' + cast(@Amount as varchar(100)))
END

SELECT remainder = @amount

-----

You'll see that is calculating:
917504 * 2 = 1.83501e+006
or : 917504*7 = 1835010 ... In fact, the answer is REALLY 1835008

So, this isn't really achieveing your desired result ..

I don't guarantee that my method is any better (or even correct), :-)

---

However, the following may be useful:
http://nrich.maths.org/public/viewer.php?obj_id=373&part=solution&refpage=viewer.php

Commented:
Steven_W: indeed, like I said : don't trust it's result too much =)

The only way around this would seem to be by setting @jump to 10 => that way the E-notation would be correct (we simply add 1 to the number behind the E), but I have no knowledge on how that behaves internally and wether or not there is rounding 'somehow' anyway.

Running it with @jump = 10 indeed seems to be 'more correct' judging by the intermediate results, but now we risk getting a remainder that's bigger than the divider.
Probably we'll then need to make the last line :

SELECT remainder = Convert(int, @amount) % Convert(int, @divider)

But again, I'm still not a big believer in the result =) But it's fun theorizing about it, and it does "feel" a bit more correct than the previous version though =P
(and it's actaully pretty quick too, my first attemp was simply substracting the @divider from the @amount. Clearly that didn't work out =)
Commented:
Oops :-)

Repeatedly subtracting 7 from 4,711,900,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000 could leve you sitting there for a LONG time :-)

When we're talking about numbers as big as 47 million million million googol googols ( or something marginally smaller than 130 factorial ) , then this problem become somewhat unorthodox for standard data-structures to manipulate .

Commented:
Not only I assumed to be sitting there for quite a while, I actually was going to time it !
After a couple of minutes it dawned on me that 2.79e+239 - 7 would result in exatly the same 2.79e+239, thus the loop would go on and on and on =)

But you're right, I too very much doubt doing this outside specialized math libraries is unlikely to work, at least not reliably, which brings me back to my first thought : there must be better ways to do this =)
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