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Transact-SQL User's Guide |
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| Chapter 6 Using and Creating Datatypes |
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| Mixed-mode arithmetic and datatype hierarchy |
When you perform arithmetic on values with different datatypes, Adaptive Server must determine the datatype and, in some cases, the length and precision, of the result.
Each system datatype has a datatype hierarchy, which is stored in the systypes system table. User-defined datatypes inherit the hierarchy of the system type on which they are based.
The following query ranks the datatypes in a database by hierarchy. In addition to the information shown below, your query results will include information about any user-defined datatypes in the database:
select name, hierarchy from systypes order by hierarchy
name hierarchy --------------------------- --------- floatn 1 float 2 datetimn 3 datetime 4 real 5 numericn 6 numeric 7 decimaln 8 decimal 9 moneyn 10 money 11 smallmoney 12 smalldatetime 13 intn 14 int 15 smallint 16 tinyint 17 bit 18 univarchar 19 unichar 20 reserved 21 varchar 22 sysname 22 nvarchar 22 char 23 nchar 23 varbinary 24 timestamp 24 binary 25 text 26 image 27 (30 rows affected)
The datatype hierarchy determines the results of computations using values of different datatypes. The result value is assigned the datatype that is closest to the top of the list.
In the following example, qty from the sales table is multiplied by royalty from the roysched table. qty is a smallint, which has a hierarchy of 16; royalty is an int, which has a hierarchy of 15. Therefore, the datatype of the result is an int.
smallint(qty) * int(royalty) = int
If you are combining money and literals or variables, and you need results of money type, use money literals or variables:
create table mytable (moneycol money,)
insert into mytable values ($10.00)
select moneycol * $2.5 from mytable
If you are combining money with a float or numeric datatype from column values, use the convert function:
select convert (money, moneycol * percentcol)
from debits, interestdrop table mytable
For the numeric and decimal types, each combination of precision and scale is a distinct Adaptive Server datatype. If you perform arithmetic on two numeric or decimal values, n1 with precision p1 and scale s1, and n2 with precision p2 and scale s2, Adaptive Server determines the precision and scale of the results as shown in Table 6-4:
Operation | Precision | Scale |
n1 + n2 | max(s1, s2) + max(p1 -s1, p2 - s2) + 1 | max(s1, s2) |
n1 - n2 | max(s1, s2) + max(p1 -s1, p2 - s2) + 1 | max(s1, s2) |
n1 * n2 | s1 + s2 + (p1 - s1) + (p2 - s2) + 1 | s1 + s2 |
n1 / n2 | max(s1 + p2 + 1, 6) + p1 - s1 + p2 | max(s1 + p2 -s2 + 1, 6) |
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