InterSystems SQL Reference
An aggregate function that returns the minimum data value in a specified column.
MIN([ALL | DISTINCT [BY(col-list)]] expression [%FOREACH(col-list)] [%AFTERHAVING])
||Optional Applies the aggregate function to all values. ALL has no effect on the value returned by MIN. It is provided for SQL-92 compatibility.
||Optional Specifies that each unique value is considered. DISTINCT has no effect on the value returned by MIN. It is provided for SQL-92 compatibility.
||Any valid expression. Usually the name of a column that contains the values from which the minimum value is to be returned.
||Optional A column name or a comma-separated list of column names. See SELECT for further information on %FOREACH.
||Optional Applies the condition found in the HAVING clause.
returns the same data type
The MIN aggregate function
returns the smallest (minimum) of the values of expression
. Commonly, expression
is the name of a field, (or an expression containing one or more field names) in the multiple rows returned by a query.
can be used in a SELECT
query or subquery that references either a table or a view. MIN
can appear in a SELECT list or HAVING clause alongside ordinary field values.
MIN cannot be used in a WHERE clause. MIN cannot be used in the ON clause of a JOIN, unless the SELECT is a subquery.
Like most other aggregate functions, MIN
cannot be applied to a stream field
. Attempting to do so generates an SQLCODE -37 error.
Unlike most other aggregate functions, the ALL and DISTINCT keywords, including MIN(DISTINCT BY(col2) col1), perform no operation in MIN. They are provided for SQL–92 compatibility.
The specified field used by MIN
can be numeric or nonnumeric. For a numeric data type field, minimum is defined as lowest in numeric value; thus -7 is lower than -3. For a non-numeric data type field, minimum is defined as lowest in string collation sequence
; thus '-3' is lower than '-7'.
An empty string ('') value is treated as CHAR(0).
When the field’s defined collation type is SQLUPPER, MIN returns strings in all uppercase letters. Thus SELECT MIN(Name) returns 'AARON', regardless of the original lettercase of the data. But because comparisons are performed using uppercase collation, the clause HAVING Name=MIN(Name) selects rows with the Name value 'Aaron', 'AARON', and 'aaron'.
For numeric values, the scale returned is the same as the expression scale.
NULL values in data fields are ignored when deriving a MIN aggregate function value. If no rows are returned by the query, or the data field value for all rows returned is NULL, MIN returns NULL.
Changes Made During the Current Transaction
Like all aggregate functions, MIN
always returns the current state of the data, including uncommitted changes, regardless of the current transaction’s isolation level. For further details, refer to SET TRANSACTION
and START TRANSACTION
In the following examples a dollar sign ($) is concatenated to Salary amounts.
The following query returns the lowest (minimum) salary in the Sample.Employee database:
SELECT '$' || MIN(Salary) AS LowSalary
The following query returns one row for each state that contains at least one employee with a salary larger than $75,000. Using the %AFTERHAVING keyword, each row returns the minimum employee salary larger than $75,000. Each row also returns the minimum salary and the maximum salary for all employees in that state:
'$' || MIN(Salary %AFTERHAVING) AS MinSalaryAbove75K,
'$' || MIN(Salary) AS MinSalary,
'$' || MAX(Salary) AS MaxSalary
GROUP BY Home_State
HAVING Salary > 75000
ORDER BY MinSalaryAbove75K
The following query returns the lowest (minimum) and highest (maximum) name in collation sequence found in the Sample.Employee database:
Note that MIN and MAX convert Name values to uppercase before comparison.
The following query returns the lowest (minimum) salary for an employee whose Home_State is 'VT' in the Sample.Employee database:
WHERE Home_State = 'VT'
The following query returns the number of employees and the lowest (minimum) employee salary for each Home_State in the Sample.Employee database:
COUNT(Home_State) As NumEmployees,
MIN(Salary) As LowSalary
GROUP BY Home_State
ORDER BY LowSalary
Content Date/Time: 2019-08-16 05:50:13