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Explanation is in the note. Try to reduce the precision. SELECT CAST(cast(1.67574 as decimal(38,10)) / cast(10000 as decimal(38,10)) AS DECIMAL(38,10) ) conv_factor returns 0.0001670000 SELECT CAST(cast(1.67574 as decimal(29,10)) / cast(10000 as decimal(29,10)) AS DECIMAL(29,10) ) conv_factor returns 0.0001675740




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select cast(1.67574 as decimal(38,10)) = 1.675400000 which has precision 6 and scale 10, right? and select cast(10000 as decimal(38,10)) = 10000.0000000000 which has precision 1 and scale 10, right?
So, p1  s1 + s2 + max(6, s1 + p2 + 1) = 6  10 + 10 + max(6, 10 + 1 + 1) = 6 + 12 = 18.
And the result scale is max(6, s1 + p2 + 1) = max(6, 10 + 1 + 1) = 12.
So, where is the rounding happening?
In Dude76's step by step we see that d1 / d2 is being rounded and is not returning the promised 18 characters of precision and 12 positions of scale. Why?
Steve Eckhart




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vkkirov (12/4/2009)
... Something about this can be found in BOL, topic "Precision, Scale, and Length (TransactSQL)": http://technet.microsoft.com/enus/library/ms190476.aspxWe have two numbers of type NUMERIC(38,10), so their precision = 38 and scale = 10. According to the table from the above link, the result precision is: p1  s1 + s2 + max(6, s1 + p2 + 1) = 38  10 + 10 + max(6, 10 + 38 + 1) = 38 + 49 = 87. The result scale is: max(6, s1 + p2 + 1) = max(6, 10 + 38 + 1) = 49. But there is also a note: * The result precision and scale have an absolute maximum of 38. When a result precision is greater than 38, the corresponding scale is reduced to prevent the integral part of a result from being truncated. Ok, the result precision (87) is definitely greater than 38, so it was reduced to 38. But why the scale was reduced to 6 – I can't find any explanation
Well, if the result precision is 87, and the scale is 49, that's a potential of 49 to the right of the decimal point, leaving (8749)=38 to the left. Now that's an interesting number. If the note were a hardandfast rule (i.e, preserve numbers to the left at all costs), the scale would have to be 0. My guess is that the equations aren't exactly as described in Technet. I expect SQL Server actually does the following process (equivalent to the equations except for cases where resulting precision needs to be reduced to 38):
(p1 = numerator precision, p2 = denominator precision, pR = result precision; equivalent s for scale)
 min() ensures pR is no greater than 38 as mentioned in the note  in our example, it becomes 38 pR = min(p1s1+s2+max(6,s1+p2+1),38)
 by subtracting from pR and using max(), we ensure a minimum of 6 digits to the right  in our example this becomes max(38(3810+10),6) = max(0,6) = 6! sR = max(pR(p1s1+s2),6)
If that's the case, the 6 digits simply comes from their choice of 6 as the minimum scale when precision has to be truncated.




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Steve Eckhart (12/4/2009) select cast(1.67574 as decimal(38,10)) = 1.675400000 which has precision 6 and scale 10, right? and select cast(10000 as decimal(38,10)) = 10000.0000000000 which has precision 1 and scale 10, right?
wrong, and wrong. Because you're explicitly casting to decimal(38,10), both of your results have precision of 38 and scale of 10 even though they don't apparently require it. SQL server will not narrow the precision and scale of an explicitly cast decimal result.




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Nadabanan  thanks for spotting this. Have updated with correct text.
Colin Frame




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As someone stated earlier, the link apparently is incorrect since it doesn't enforce the minimum scale you describe here although we're obviously seeing it. I left feedback on the link that the information on division of decimals is incomplete and referenced this discussion.
Steve Eckhart




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vkkirov (12/4/2009)
stewartc708166 (12/3/2009) the explanation re why the rounding off takes place is.....?Something about this can be found in BOL, topic "Precision, Scale, and Length (TransactSQL)": http://technet.microsoft.com/enus/library/ms190476.aspxWe have two numbers of type NUMERIC(38,10), so their precision = 38 and scale = 10. According to the table from the above link, the result precision is: p1  s1 + s2 + max(6, s1 + p2 + 1) = 38  10 + 10 + max(6, 10 + 38 + 1) = 38 + 49 = 87. The result scale is: max(6, s1 + p2 + 1) = max(6, 10 + 38 + 1) = 49. But there is also a note: * The result precision and scale have an absolute maximum of 38. When a result precision is greater than 38, the corresponding scale is reduced to prevent the integral part of a result from being truncated. Ok, the result precision (87) is definitely greater than 38, so it was reduced to 38. But why the scale was reduced to 6 – I can't find any explanation
The ResultingPrecision = 87 and ResultingScale = 49. However, the ResultingPrecision has to be reduced since it is greater than 38. To get to 38, we substract 87 by 49. Since we reduced ResultingPrecision by 49, we need to reduce the ResultingScale by 49 as well. (49  49) leaves us a ResultingScale of 0. However max(6, 0) = 6, so the ResultingScale ends up as 6. Therefore, result is truncated ( not rounded ) to 6 decimal digits.
So.
SELECT cast(1.67574 as decimal(38,10)) / cast(10000 as decimal(38,10))
gives us 0.000167 > precision of 38 and scale of 6
so
SELECT CAST( cast(1.67574 as decimal(38,10)) / cast(10000 as decimal(38,10)) AS DECIMAL(38,10) ) conv_factor
reduces to
SELECT CAST( 0.000167 AS DECIMAL(38,10) ) conv_factor
which gives us 0.0001670000.
Took me a while to figure this out. The real question is why SELECT cast(1.67574 as decimal(38,10)) / cast(10000 as decimal(38,10)) gives us 0.000167. The outer CAST is just a silly distraction.




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So what we're really saying is that SS doesn't divide correctly. sigh




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sknox (12/4/2009)
Steve Eckhart (12/4/2009) select cast(1.67574 as decimal(38,10)) = 1.675400000 which has precision 6 and scale 10, right? and select cast(10000 as decimal(38,10)) = 10000.0000000000 which has precision 1 and scale 10, right?
wrong, and wrong. Because you're explicitly casting to decimal(38,10), both of your results have precision of 38 and scale of 10 even though they don't apparently require it. SQL server will not narrow the precision and scale of an explicitly cast decimal result.
I'm struggling here. Surely that's exactly what SQLServer is doing?
Either way, the explanation attached to the QotD doesn't seem to attempt to explain it  and I'm not surprised!




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Toreador (12/8/2009)
sknox (12/4/2009)
Steve Eckhart (12/4/2009) select cast(1.67574 as decimal(38,10)) = 1.675400000 which has precision 6 and scale 10, right? and select cast(10000 as decimal(38,10)) = 10000.0000000000 which has precision 1 and scale 10, right?
wrong, and wrong. Because you're explicitly casting to decimal(38,10), both of your results have precision of 38 and scale of 10 even though they don't apparently require it. SQL server will not narrow the precision and scale of an explicitly cast decimal result. I'm struggling here. Surely that's exactly what SQLServer is doing?
No. The equation in the QotD was: CAST( cast(1.67574 as decimal(38,10)) / cast(10000 as decimal(38,10)) AS DECIMAL(38,10) )
Procedurally, this is what SQL Server does: Step 1 is to cast 1.67574 as decimal(38, 10). This explicit cast is not narrowed, which is one reason why the calculation in (3) results in a result that has to be narrowed.
Step 2 is to cast 10000 as decimal(38, 10). This explicit cast is not narrowed, which is the other reason why the calculation in (3) results in a result that has to be narrowed.
Step 3 is to perform the division. This results in an answer whose precision and scale are beyond the ranges of the decimal data type. So the precision and scale are narrowed as discussed in this topic. Note that technically, this result is not explicitly cast.
Step 4 is to cast the final result (i.e, after the internal narrowing) as decimal(38,10). This explicit cast is also not narrowed, which is why we see the trailing 0s in the result.
An explicit cast that falls within the ranges of the decimal data type will not be narrowed. An explicit cast that falls outside the ranges of the decimal data type will result in an error. A calculation which results in precision and scale outside the ranges of the decimal data type will be narrowed to fit within those ranges as discussed.
I agree that the explanation on the QotD didn't explain it. That's why I did the research I did.



