Something sounds wrong with this floating point issue. His example 
consists of two digit numbers with simple addition. The number 1.7 would 
be represented by the value 17 and an exponent of -1, which is an exact 
number, same with his other numbers. His math operations should give 
exact results since the operations are simple addition. Since he is not 
doing any multiplication or division, there should not be any resolution 
issues. His results using his simple equations should give exact 
answers. So something is not handling the numbers properly if he is not 
getting exact results. If the claims about floating point results in 
sqlite are as stated in this thread of messages then floating point 
should be entirely avoided and eliminated from sqlite as this implies 
that floating point operations are improperly implemented rendering 
useless and incorrect results.

------------
Scott Doctor
scott at scottdoctor.com

On 10/23/2015 12:14 AM, Dominique Devienne wrote:
> On Thu, Oct 22, 2015 at 11:55 PM, Igor Tandetnik <igor at tandetnik.org> 
> wrote:
>
>> On 10/22/2015 4:25 PM, Rousselot, Richard A wrote:
>>
>>> FWIW, MySQL and Oracle both return all yes for that query.
>>>
>> In MySQL, 9.2 is a literal of DECIMAL type, which is in fact represented
>> as a finite decimal fraction. SQLite doesn't have such a type. You would
>> likely observe similar results in MySQL if you write your constants like
>> this: 9.2e0 (scientific notation makes them have FLOAT or DOUBLE type).
>>
> And oracle's NUMBER can be up to 20 bytes (21 unsigned), stores number is
> base-100, i.e. each byte represents 2 base-10 digits.
> http://www.orafaq.com/wiki/Number
>
> SQLite only uses IEEE double, which often cannot represent accurately even
> small (as in text) numbers with a decimal point. You can use Oracle's
> BINARY_DOUBLE to force it using an IEEE double. FWIW. --DD
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