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Oracle SQL - Aggregating Data Les 05.ppt
1.
Copyright © Oracle
Corporation, 2001. All rights reserved. Aggregating Data Using Group Functions
2.
5-2 Copyright ©
Oracle Corporation, 2001. All rights reserved. Objectives After completing this lesson, you should be able to do the following: • Identify the available group functions • Describe the use of group functions • Group data using the GROUP BY clause • Include or exclude grouped rows by using the HAVING clause
3.
5-3 Copyright ©
Oracle Corporation, 2001. All rights reserved. What Are Group Functions? Group functions operate on sets of rows to give one result per group. EMPLOYEES The maximum salary in the EMPLOYEES table. …
4.
5-4 Copyright ©
Oracle Corporation, 2001. All rights reserved. Types of Group Functions • AVG • COUNT • MAX • MIN • STDDEV • SUM • VARIANCE
5.
5-5 Copyright ©
Oracle Corporation, 2001. All rights reserved. SELECT [column,] group_function(column), ... FROM table [WHERE condition] [GROUP BY column] [ORDER BY column]; Group Functions Syntax
6.
5-6 Copyright ©
Oracle Corporation, 2001. All rights reserved. SELECT AVG(salary), MAX(salary), MIN(salary), SUM(salary) FROM employees WHERE job_id LIKE '%REP%'; Using the AVG and SUM Functions You can use AVG and SUM for numeric data.
7.
5-7 Copyright ©
Oracle Corporation, 2001. All rights reserved. Using the MIN and MAX Functions You can use MIN and MAX for any data type. SELECT MIN(hire_date), MAX(hire_date) FROM employees;
8.
5-8 Copyright ©
Oracle Corporation, 2001. All rights reserved. SELECT COUNT(*) FROM employees WHERE department_id = 50; Using the COUNT Function COUNT(*) returns the number of rows in a table.
9.
5-9 Copyright ©
Oracle Corporation, 2001. All rights reserved. Using the COUNT Function • COUNT(expr) returns the number of rows with non-null values for the expr. • Display the number of department values in the EMPLOYEES table, excluding the null values. SELECT COUNT(commission_pct) FROM employees WHERE department_id = 80;
10.
5-10 Copyright ©
Oracle Corporation, 2001. All rights reserved. SELECT COUNT(DISTINCT department_id) FROM employees; Using the DISTINCT Keyword • COUNT(DISTINCT expr) returns the number of distinct non-null values of the expr. • Display the number of distinct department values in the EMPLOYEES table.
11.
5-11 Copyright ©
Oracle Corporation, 2001. All rights reserved. SELECT AVG(commission_pct) FROM employees; Group Functions and Null Values Group functions ignore null values in the column.
12.
5-12 Copyright ©
Oracle Corporation, 2001. All rights reserved. SELECT AVG(NVL(commission_pct, 0)) FROM employees; Using the NVL Function with Group Functions The NVL function forces group functions to include null values.
13.
5-13 Copyright ©
Oracle Corporation, 2001. All rights reserved. Creating Groups of Data EMPLOYEES The average salary in EMPLOYEES table for each department. 4400 … 9500 3500 6400 10033
14.
5-14 Copyright ©
Oracle Corporation, 2001. All rights reserved. SELECT column, group_function(column) FROM table [WHERE condition] [GROUP BY group_by_expression] [ORDER BY column]; Creating Groups of Data: The GROUP BY Clause Syntax Divide rows in a table into smaller groups by using the GROUP BY clause.
15.
5-15 Copyright ©
Oracle Corporation, 2001. All rights reserved. SELECT department_id, AVG(salary) FROM employees GROUP BY department_id ; Using the GROUP BY Clause All columns in the SELECT list that are not in group functions must be in the GROUP BY clause.
16.
5-16 Copyright ©
Oracle Corporation, 2001. All rights reserved. Using the GROUP BY Clause The GROUP BY column does not have to be in the SELECT list. SELECT AVG(salary) FROM employees GROUP BY department_id ;
17.
5-17 Copyright ©
Oracle Corporation, 2001. All rights reserved. Grouping by More Than One Column EMPLOYEES “Add up the salaries in the EMPLOYEES table for each job, grouped by department. …
18.
5-18 Copyright ©
Oracle Corporation, 2001. All rights reserved. SELECT department_id dept_id, job_id, SUM(salary) FROM employees GROUP BY department_id, job_id ; Using the GROUP BY Clause on Multiple Columns
19.
5-19 Copyright ©
Oracle Corporation, 2001. All rights reserved. Illegal Queries Using Group Functions Any column or expression in the SELECT list that is not an aggregate function must be in the GROUP BY clause. SELECT department_id, COUNT(last_name) FROM employees; SELECT department_id, COUNT(last_name) * ERROR at line 1: ORA-00937: not a single-group group function
20.
5-20 Copyright ©
Oracle Corporation, 2001. All rights reserved. Illegal Queries Using Group Functions • You cannot use the WHERE clause to restrict groups. • You use the HAVING clause to restrict groups. • You cannot use group functions in the WHERE clause. SELECT department_id, AVG(salary) FROM employees WHERE AVG(salary) > 8000 GROUP BY department_id; WHERE AVG(salary) > 8000 * ERROR at line 3: ORA-00934: group function is not allowed here
21.
5-21 Copyright ©
Oracle Corporation, 2001. All rights reserved. Excluding Group Results The maximum salary per department when it is greater than $10,000 EMPLOYEES …
22.
5-22 Copyright ©
Oracle Corporation, 2001. All rights reserved. SELECT column, group_function FROM table [WHERE condition] [GROUP BY group_by_expression] [HAVING group_condition] [ORDER BY column]; Excluding Group Results: The HAVING Clause Use the HAVING clause to restrict groups: 1. Rows are grouped. 2. The group function is applied. 3. Groups matching the HAVING clause are displayed.
23.
5-23 Copyright ©
Oracle Corporation, 2001. All rights reserved. Using the HAVING Clause SELECT department_id, MAX(salary) FROM employees GROUP BY department_id HAVING MAX(salary)>10000 ;
24.
5-24 Copyright ©
Oracle Corporation, 2001. All rights reserved. SELECT job_id, SUM(salary) PAYROLL FROM employees WHERE job_id NOT LIKE '%REP%' GROUP BY job_id HAVING SUM(salary) > 13000 ORDER BY SUM(salary); Using the HAVING Clause
25.
5-25 Copyright ©
Oracle Corporation, 2001. All rights reserved. Nesting Group Functions Display the maximum average salary. SELECT MAX(AVG(salary)) FROM employees GROUP BY department_id;
26.
5-26 Copyright ©
Oracle Corporation, 2001. All rights reserved. SELECT column, group_function(column) FROM table [WHERE condition] [GROUP BY group_by_expression] [HAVING group_condition] [ORDER BY column]; Summary In this lesson, you should have learned how to: • Use the group functions COUNT, MAX, MIN, AVG • Write queries that use the GROUP BY clause • Write queries that use the HAVING clause
27.
5-27 Copyright ©
Oracle Corporation, 2001. All rights reserved. Practice 5 Overview This practice covers the following topics: • Writing queries that use the group functions • Grouping by rows to achieve more than one result • Excluding groups by using the HAVING clause
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