10-10-2007 10:28 AM
Hi all,
Can any one explain what is the exact use of Group by clause in the select statement .
regards,
Sasi
10-10-2007 10:33 AM
The SQL GROUP BY statement is used together with the SQL aggregate functions to group the retrieved data by one or more columns. The GROUP BY concept is one of the most complicated concepts for people new to the SQL language and the easiest way to understand it, is by example.
We want to retrieve a list with unique customers from our Sales table, and at the same time to get the total amount each customer has spent in our store.
OrderID OrderDate OrderPrice OrderQuantity CustomerName
1 12/22/2005 160 2 Smith
2 08/10/2005 190 2 Johnson
3 07/13/2005 500 5 Baldwin
4 07/15/2005 420 2 Smith
5 12/22/2005 1000 4 Wood
6 10/2/2005 820 4 Smith
7 11/03/2005 2000 2 Baldwin
You already know how to retrieve a list with unique customer using the DISTINCT keyword:
SELECT DISTINCT CustomerName FROM Sales
The SQL statement above works just fine, but it doesnt return the total amount of money spent for each of the customers. In order to accomplish that we will use both SUM SQL function and the GROUP BY clause:
SELECT CustomerName, SUM(OrderPrice) FROM Sales
GROUP BY CustomerName
We have 2 columns specified in our SELECT list CustomerName and SUM(OrderPrice). The problem is that SUM(OrderPrice), returns a single value, while we have many customers in our Sales table. The GROUP BY clause comes to the rescue, specifying that the SUM function has to be executed for each unique CustomerName value. In this case the GROUP BY clause acts similar to DISTINCT statement, but for the purpose of using it along with SQL aggregate functions. The result set retrieved from the statement above will look like this
CustomerName OrderPrice
Baldwin 2500
Johnson 190
Smith 1400
Wood 1000
You do grouping using GROUP BY by more than one column, for example:
SELECT CustomerName, OrderDate, SUM(OrderPrice) FROM Sales
GROUP BY CustomerName, OrderDate
When grouping, keep in mind that all columns that appear in your SELECT column list, that are not aggregated (used along with one of the SQL aggregate functions), have to appear in the GROUP BY clause too.
10-10-2007 10:32 AM
The GROUP BY clause can be used in a SELECT statement to collect data across multiple records and group the results by one or more columns.
The syntax for the GROUP BY clause is:
SELECT column1, column2, ... column_n, aggregate_function (expression)
FROM tables
WHERE predicates
GROUP BY column1, column2, ... column_n;
aggregate_function can be a function such as SUM, COUNT, MIN, or MAX.
reward if useful
10-10-2007 10:33 AM
The SQL GROUP BY statement is used together with the SQL aggregate functions to group the retrieved data by one or more columns. The GROUP BY concept is one of the most complicated concepts for people new to the SQL language and the easiest way to understand it, is by example.
We want to retrieve a list with unique customers from our Sales table, and at the same time to get the total amount each customer has spent in our store.
OrderID OrderDate OrderPrice OrderQuantity CustomerName
1 12/22/2005 160 2 Smith
2 08/10/2005 190 2 Johnson
3 07/13/2005 500 5 Baldwin
4 07/15/2005 420 2 Smith
5 12/22/2005 1000 4 Wood
6 10/2/2005 820 4 Smith
7 11/03/2005 2000 2 Baldwin
You already know how to retrieve a list with unique customer using the DISTINCT keyword:
SELECT DISTINCT CustomerName FROM Sales
The SQL statement above works just fine, but it doesnt return the total amount of money spent for each of the customers. In order to accomplish that we will use both SUM SQL function and the GROUP BY clause:
SELECT CustomerName, SUM(OrderPrice) FROM Sales
GROUP BY CustomerName
We have 2 columns specified in our SELECT list CustomerName and SUM(OrderPrice). The problem is that SUM(OrderPrice), returns a single value, while we have many customers in our Sales table. The GROUP BY clause comes to the rescue, specifying that the SUM function has to be executed for each unique CustomerName value. In this case the GROUP BY clause acts similar to DISTINCT statement, but for the purpose of using it along with SQL aggregate functions. The result set retrieved from the statement above will look like this
CustomerName OrderPrice
Baldwin 2500
Johnson 190
Smith 1400
Wood 1000
You do grouping using GROUP BY by more than one column, for example:
SELECT CustomerName, OrderDate, SUM(OrderPrice) FROM Sales
GROUP BY CustomerName, OrderDate
When grouping, keep in mind that all columns that appear in your SELECT column list, that are not aggregated (used along with one of the SQL aggregate functions), have to appear in the GROUP BY clause too.
10-10-2007 11:49 AM
Hi rama,
I am very much satisfied with your ans,I have given u 10 points.
Thanks®ards,
Bhushan-karra