ORACLE GROUP BY
Oracle GROUP BY clause is used with the Oracle SELECT statement, however, it does not have a mandatory existence but still is important enough, as it is used to collect data from multiple records and then to group the results by one or more columns.
Syntax: To group the rows by values in multiple columns.
SELECT expressions FROM table_name GROUP BY columns;
Parameters:
expressions: It is used to specify the columns or calculations to be retrieved.
table_name: It is used to specify the name of the table from which you want to retrieve the records.
columns: It is used to specify the list of columns to be grouped.
Example:
Students Table:
STUDENT_ID | STUDENT_NAME | STUDENT_AGE |
1 | Joy | 10 |
2 | Smiley | 13 |
3 | Happy | 11 |
4 | Tom | 13 |
5 | Jerry | 10 |
Query:
SELECT age
FROM students
GROUP BY age; |
Output:
AGE 10 13 11
Explanation:
The ‘students’ is an already existing table. Here we are using the Group By clause to find unique student ages from the ‘students’ table.
Syntax: Oracle GROUP BY with WHERE clause.
SELECT expressions FROM table_name WHERE conditions GROUP BY columns;
Parameters:
conditions: It is used to specify the conditions to be strictly followed for selection.
Example:
Students Table:
STUDENT_ID | STUDENT_NAME | STUDENT_AGE |
1 | Joy | 10 |
2 | Smiley | 13 |
3 | Happy | 11 |
4 | Tom | 13 |
5 | Jerry | 10 |
Query:
SELECT age FROM students WHERE age > 10 GROUP BY age; |
Output:
AGE 13 11
Explanation:
The ‘students’ is an already existing table. Here we are using the Group By clause to find unique student ages from the ‘students’ table, but with a condition that ages must be greater than 10.
Syntax: Oracle GROUP BY with ROLLUP.
SELECT expressions FROM table_name GROUP BY ROLLUP (column_1, column_2, .., column_n);
Parameters:
ROLLUP: It is used to specify multiple levels of grouping. These multiple levels of grouping are computed at once.
columns: It is used to specify the list of columns to be grouped.
Example:
Students Table:
STUDENT_ID | STUDENT_NAME | STUDENT_AGE |
1 | Joy | 10 |
2 | Smiley | 13 |
3 | Happy | 11 |
4 | Tom | 13 |
5 | Jerry | 10 |
Query:
SELECT name, age FROM students GROUP BY ROLLUP (name, age); |
Output:
ID | SHOP |
Joy | 10 |
Joy | 13 |
Joy | 11 |
Smiley | 10 |
Smiley | 13 |
Smiley | 11 |
Happy | 10 |
Happy | 13 |
Happy | 11 |
James | 10 |
James | 13 |
James | 11 |
Bond | 10 |
Bond | 13 |
Bond | 11 |
Explanation:
The ‘students’ is an already existing table. Here we are using the Group By clause to find unique student names and ages from the ‘students’ table, but with multiple levels of grouping.
Syntax: Oracle GROUP BY with an aggregate function.
SELECT expressions, aggregate_function (aggregate_expression) FROM table_name WHERE conditions GROUP BY columns;
Parameters:
Aggregate_function: It is used to specify the aggregate functions. Some of the aggregate functions are SUM, COUNT, MIN, MAX and AVG.
Aggregate_expression: It is used to specify the column or expression to be utilised by the aggregate function.
Example 1: Oracle GROUP BY with COUNT function
Students Table:
STUDENT_ID | STUDENT_NAME | STUDENT_AGE |
1 | Joy | 10 |
2 | Smiley | 13 |
3 | Happy | 11 |
4 | Tom | 13 |
5 | Jerry | 10 |
Query:
SELECT age, COUNT(*) AS “Number of Students” FROM students GROUP BY age; |
Output:
AGE | Number of Students |
10 | 2 |
13 | 2 |
11 | 1 |
Explanation:
The ‘students’ is an already existing table. Here we are using the Group By clause with an aggregate function COUNT to count the number of students of the same age group.
Example 2: Oracle GROUP BY with SUM function
Students Table:
ID | NAME | MARKS | AGE |
1 | Joy | 90 | 10 |
2 | Smiley | 100 | 13 |
3 | Happy | 80 | 11 |
4 | James | 85 | 13 |
5 | Bond | 70 | 10 |
Query:
SELECT age, SUM(Marks) AS “Total Marks” FROM students GROUP BY age; |
Output:
AGE | Total Marks |
10 | 160 |
13 | 185 |
11 | 80 |
Explanation:
The ‘students’ is an already existing table. Here we are using the Group By clause with an aggregate function SUM in order to sum up the marks of the students of the same age group.