Arithmetic overflow error occurred converting expression to data type bigint when I am applying cast function on a 60 digit number.
The largest positive value which BIGINT can store is 2^63-1, which is roughly 1x10^18. Using DECIMAL or NUMERIC would get you larger storage, up to 1x10^38. But neither can accommodate 60 digits of precision.
You might want to ask yourself whether you really need to maintain so much precision for a large number as this.
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I would like to remove zeros after two decimal places in DB2. I have more than 1000 rows for this column
For example
3.6900 needs to be converted to 3.69
I used cast in the query after my research and it gave me the correct result but I would like to understand what is DECIMAL(12,2) and how does this work ? Is there any better way to eliminate zeros?
SELECT CAST(CG.RATE AS DECIMAL(12,2)) AS test from fd.OFFERS CG
Please let me know.
what is DECIMAL(12,2) and how does this work?
The DECIMAL data type represents numbers with a specified decimal precision. You can read a description of the numeric data types:
A DECIMAL number is a packed decimal number with an implicit decimal point. The position of the decimal point is determined by the precision and the scale of the number. The scale, which is the number of digits in the fractional part of the number, cannot be negative or greater than the precision. The maximum precision is 31 digits.
I have a variable of type decimal(26,16) and i want to save a value with 12 digits before decimal point and 14 digits after it, but it raises an "Arithmetic overflow error converting numeric to data type numeric". when i define a variable of this type, what does it really mean? it means it can only store values with 10 digits before and 16 digits after decimal point respectively or something else?
The highest number you can have in a decimal(26,16) is 9999999999.9999999999999999.
So when you try to store a 12 digit number it will to overflow
Try a decimal(28,16) instead
The maximum total number of decimal digits that can be stored, both to the left and to the right of the decimal point. The precision must be a value from 1 through the maximum precision of 38. The default precision is 18.
precision means the maximum number of digit you can use.
scale means the maximum number of digit you can use after decimal(.)
refer this...
http://msdn.microsoft.com/en-us/library/ms187746.aspx
I am getting this error
Arithmetic overflow error converting float to data type numeric
when I try to run my view but not sure what am I doing wrong with my calculation. I have researched but could not solve it so far.
Here is the line of code that is causing the error:
ISNULL(CAST(CAST(TOTAL_APPTS.APPT_CNT AS FLOAT) / TOTAL_RECS.PAT_CNT AS NUMERIC(3, 2)), 0) AS [CONVERSION RATE]
Your precision and scale arguments to NUMERIC are very small. Have you tried increasing those? Your numeric value can only handle numbers up to 9.99.
You should peruse this page:
decimal and numeric (Transact-SQL)
It's too much to explain here, but basically the first argument (precision) is the max number of digits (in your case 3) and the second argument (scale) is the number of digits to the right of the decimal point, which always takes away from the number of digits you can have to the left of the decimal point. So in your case, 3-2 = 1 digit allowed to the left of the decimal point, which is why your max value can only be 9.99.
For a SQL int that is being converted to a float, how do I set the precision of the floating point number?
This is the selection I would like to truncate to two or 3 decimal places:
AVG(Cast(e.employee_level as Float))avg_level,
Thanks!
In TSQL, you can specify two different sizes for float, 24 or 53. This will set the precision to 7 or 15 digits respectively.
If all you want to do is truncate to a set number of decimal places, you can use ROUND, ie:
ROUND(AVG(CAST(e.employee_level as float)), 3)
As a general rule, you can't specify the number of digits after the decimal point for a floating-point number. Floating point data types store the closest floating-point approximation to any given value. The closest floating-point approximation is unlikely to have the number of digits you want. Although you might be able to suppress every digit after the third one, that will only change the appearance of the value, not the value itself.
Integers are a different story. An integer--stored, converted, or cast to a floating-point data type--will be stored exactly over a large range. Floating-point data types don't have to store any fractional units for integers.
I'd suggest, though that the best practice for you is to
avoid casting integers to floating-point if you don't need fractional units, or
cast integers to decimal or numeric if you do need fractional units, or
handle display issues entirely in application code.
I have had the same issue when calculating a percentage and needing a resulting string value.
Example: 68 is what % of 379
Result is a float = 17.9419525065900
You can cast/convert to Numeric with the Precision = 2 and get 17.94
If you need the value as a string you can then cast it as a VarChar if needed.
You can use Round() as well but in this case it only makes 17.9419525065900 = 17.9400000000000.
You can also use Ceiling() and Floor() to get the next highest or lowest integer.
Ceiling(17.9419525065900) = 18
Floor(17.9419525065900) = 17
Using these combinations you should be able to achieve a result in any format you need.
i am having hard time determining the length of a Decimal data type. The data i have in column is like 0.08,1.2,12.35,121.36. Now if i go for (2,2) it throws an error : Arithmetic overflow error converting numeric to data type numeric. Just wondering should it be (6,2)? and if yes can anybody tell me Why 6 and 2?
In syntax like
NUMERIC(precision, scale)
precision is the total number of digits (count digits on both sides of the decimal point), and scale is the number of digits to the right of the decimal point.
From your examples, should be NUMERIC(5,2) - meaning five numbers in total and 2 after the decimal point.