SQL FLOOR() function
FLOOR() function
The SQL FLOOR() function rounded up any positive or negative decimal value down to the next least integer value. SQL DISTINCT along with the SQL FLOOR() function is used to retrieve only unique value after rounded down to the next least integer value depending on the column specified.
Syntax:
FLOOR(expression)
Parameters:
Name | Description |
---|---|
expression | An expression which is a numeric value or numeric data type. The bit data type is not allowed. |
MySQL, PostgreSQL, SQL Server, and Oracle
All of above platforms support the SQL syntax of FLOOR().
Pictorial presentation of FLOOR() Function
Example:
To get the rounded down to next integer value of 17.36 from the DUAL table, the following SQL statement can be used:
SELECT FLOOR(17.36)
FROM dual;
Output:
FLOOR(17.36) ------------ 17
SQL FLOOR() function on negative value
To get the rounded down to next integer value of -17.36 from the DUAL table, the following SQL statement can be used :
SELECT FLOOR(-17.36)
FROM dual;
Output:
FLOOR(-17.36) ------------- -18
SQL FLOOR() function with distinct
To get the rounded down to next integer value of column 'commission' after multiplying by (-50) from the 'agents' table, the following SQL statement can be used :
SELECT DISTINCT(FLOOR(commission*(-50))) "DISTINCT(FLOOR())",
commission*(-50)
FROM agents;
Output:
DISTINCT(FLOOR()) COMMISSION*(-50) ----------------- ---------------- -6 -5.5 -8 -7.5 -6 -6 -7 -7 -7 -6.5
SQL: Comparing between FLOOR() and CEIL() function
Note: Outputs of the said SQL statement shown here is taken by using Oracle Database 10g Express Edition.
Here is a slide presentation which covers the SQL arithmetic functions.
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SQL: Tips of the Day
SQL Server SELECT into existing table.
INSERT INTO dbo.TABLETWO SELECT col1, col2 FROM dbo.TABLEONE WHERE col3 LIKE @search_key
This assumes there's only two columns in dbo.TABLETWO - you need to specify the columns otherwise:
INSERT INTO dbo.TABLETWO (col1, col2) SELECT col1, col2 FROM dbo.TABLEONE WHERE col3 LIKE @search_key
Database: SQL Server
Ref: https://bit.ly/3y6tpA3
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