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On Sun, Sep 5, 2010 at 1:18 PM, Walter Heck - OlinData.com <
[email protected]> wrote:

> Yep, that is why MySQL for instance has the data type NUMERIC/DECIMAL
> as opposed to FLOAT and DOUBLE (See:
> http://dev.mysql.com/doc/refman/5.0/en/numeric-types.html)
> Also, a lot of programming languages have special datatypes used for
> storing financial values as they are particularly nasty for rounding
> errors. Never seen a 0.01 cent difference when Adding a number of
> items on an invoice programmatically?
>
> Walter
>
> On Sun, Sep 5, 2010 at 12:37, Aizuddin a.k.a ak47suk1
> <[email protected]> wrote:
> > Hmmm...
> >
> > Tested on my lappy, AMD Turion64 X2, Ubuntu Lucid Lynx 64-bit.
> >
> > OpenOffice Calc:
> >
> > Input: =161001.165-100000.009-60000.7-1000.456
> > Output: 0.00000000000557065504835919
> >
> > Input: =161001.165+(-100000.009-60000.7-1000.456)
> > Output: 0
> >
> > Input: =((161001.165-100000.009)-60000.7)-1000.456
> > Output: 0.00000000000557065504835919
> >
> > MySQL:
> >
> > mysql>
> > mysql> CREATE TABLE `sumtest` (
> >     ->
> >     -> `numbers` double NOT NULL,
> >     ->
> >     -> `group` varchar(3) NOT NULL DEFAULT 'all'
> >     ->
> >     -> );
> > Query OK, 0 rows affected (0.14 sec)
> >
> > mysql>
> > mysql>
> > mysql>
> > mysql> INSERT INTO `sumtest` (`numbers`, `group`) VALUES
> >     ->
> >     -> (161001.165, 'all'),
> >     ->
> >     -> (-100000.009, 'all'),
> >     ->
> >     -> (-60000.7, 'all'),
> >     ->
> >     -> (-1000.456, 'all');
> > Query OK, 4 rows affected (0.10 sec)
> > Records: 4  Duplicates: 0  Warnings: 0
> >
> > mysql>
> > mysql>
> > mysql>
> > mysql> SELECT SUM( `numbers` )
> >     ->
> >     -> FROM `sumtest`
> >     ->
> >     -> WHERE `group` = 'all'
> >     ->
> >     -> GROUP BY `group`;
> > +----------------------+
> > | SUM( `numbers` )     |
> > +----------------------+
> > | 5.57065504835919e-12 |
> > +----------------------+
> > 1 row in set (0.04 sec)
> >
> >
> > 2010/9/5 Raja Iskandar Shah <[email protected]>
> >>
> >> cool ;-)
> >>
> >> i wonder if the bug is identical across all 32bit and 64bit cpu ? or
> intel
> >> treats them differently than amd, than sunsparc, than arm ?
> >>
> >>
> >> On Sun, Sep 5, 2010 at 10:55 AM, Walter Heck - OlinData.com
> >> <[email protected]> wrote:
> >>>
> >>> Usually the programming languages used for those kind of programs have
> >>> their own datatypes for ultra-high precision floating points. A 32 or
> >>> 64 bit datatype is not enough for them anyway. They use all kinds of
> >>> tricks/smart-assing to get around floating point rounding errors.
> >>>
> >>> Walter
> >>
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>
> --
> Walter Heck
> Founder @ OlinData (http://olindata.com)
>
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