Group by (SQL) explained

A GROUP BY statement in SQL specifies that a SQL [[Select (SQL)|SELECT]] statement partitions result rows into groups, based on their values in one or several columns. Typically, grouping is used to apply some sort of aggregate function for each group.[1] [2]

The result of a query using a GROUP BY statement contains one row for each group. This implies constraints on the columns that can appear in the associated [[Select (SQL)|SELECT]] clause. As a general rule, the [[Select (SQL)|SELECT]] clause may only contain columns with a unique value per group. This includes columns that appear in the GROUP BY clause as well as aggregates resulting in one value per group.[3]

Examples

Returns a list of Department IDs along with the sum of their sales for the date of January 1, 2000. SELECT DeptID, SUM(SaleAmount) FROM Sales WHERE SaleDate = '01-Jan-2000' GROUP BY DeptID

In the following example one can ask "How many units were sold in each region for every ship date?":

Sum of units Ship date ▼
Region ▼2005-01-312005-02-282005-03-312005-04-302005-05-312005-06-30
East6680102116127125
North96117138151154156
South123141157178191202
West7897117136150157
(blank)
Grand total363435514581622640

The following code returns the data of the above pivot table which answers the question "How many units were sold in each region for every ship date?": SELECT Region, Ship_Date, SUM(Units) AS Sum_of_Units FROM FlatData GROUP BY Region, Ship_Date

Common groupings

Common grouping (aggregation) functions include:

See also

References

  1. Web site: SQL GROUP BY Statement. 2020-09-18. www.w3schools.com.
  2. Web site: shkale-msft. GROUP BY (Transact-SQL) - SQL Server. 2020-09-18. docs.microsoft.com. en-us.
  3. Web site: SQL Grouping and Aggregation. 2020-12-09. databaselecture.com. en-us.

External links