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A table has at least one column and zero or more rows of data In many tables data requires analysis to transform it into useful information It is a common reporting requirement to calculate statistics from a set of data divided into groups using different attributes Previous examples using group functions operated against all the rows in a table The entire table was treated as one large group Groups of data within a set are created by associating rows with common attributes with each other Thereafter, group functions can execute against each of these groups Groups of data include entire rows and not specific columns Consider the EMPLOYEES table It comprises 11 columns and 107 rows You could create groups of rows that share a common DEPARTMENT_ID value The SUM function may then be used to create salary totals per department Another possible set of groups may share common JOB_ID column values The AVG group function may then be used to identify the average salary paid to employees in different jobs A group is defined as a subset of the entire dataset sharing one or more common attributes These attributes are typically column values but may also be expressions The number of groups created depends on the distinct values present in the common attribute As Figure 11-2 shows, there are 12 unique DEPARTMENT_ID values in the EMPLOYEES table If rows are grouped using common DEPARTMENT_ID values, there will be 12 groups If a group function is executed against these groups, there will be 12 values returned, as it will execute once for each group

Figure 11-2

TIP Grouping data and using summary functions are widely utilized for reporting purposes It is valuable to practice the segmentation of a set of data into different groups Oracle provides the analytical language to deconstruct datasets into groups, divide these into further subgroups, and so on Aggregate grouping functions can then be executed against these groups and subgroups

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The SELECT statement is enhanced by the addition of the GROUP BY clause This clause facilitates the creation of groups It appears after the WHERE clause but before the ORDER BY clause, as follows:

SELECT column|expression|group_function(column|expression [alias]),} FROM table [WHERE condition(s)] [GROUP BY {col(s)|expr}] [ORDER BY {col(s)|expr|numeric_pos} [ASC|DESC] [NULLS FIRST|LAST]];

The column or expression specified in the GROUP BY clause is also known as the grouping attribute and is the component that rows are grouped by The dataset is segmented according to the grouping attribute Consider the following query:

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select max(salary), count(*) from employees group by department_id order by department_id;

The grouping attribute in this example is the DEPARTMENT_ID column The dataset, on which the group functions in the SELECT list must operate, is divided into 12 groups, one for each department For each group (department), the maximum salary value and the number of rows are returned Since the results are sorted by DEPARTMENT_ID, the third row in the set of results contains the values 11000 and 6 This indicates that 6 employees have a DEPARTMENT_ID value of 30 Of these 6, the highest earner has a SALARY value of 11000 This query demonstrates that the grouping attribute does not have to be included in the SELECT list It is common to see the grouping attribute in the SELECT list alongside grouping functions If an item that is not a group function appears in the SELECT list and there is no GROUP BY clause, an ORA-00937: not a single-group group function error is raised If a GROUP BY clause is present but that item is not a grouping attribute, then an ORA-00979: not a GROUP BY expression error is returned EXAM TIP Any item in the SELECT list that is not a group function must be a grouping attribute of the GROUP BY clause