SQL语句PART9

Group functions
SELECT [column,] group_function(column) ... from table [WHERE condition] [GROUP BY group_by_expression] [ORDER BY column];
e.g.:
SELECT department_id, job_id, SUM(salary), COUNT(employee_id) from employees GROUP BY department_id, job_id ;
SELECT [column,] group_function(column)... from table [WHERE condition] [GROUP BY group_by_expression]
[HAVING having_expression] [ORDER BY column];
GROUP BY with ROLLUP and CUBE Operators
1. Use ROLLUP or CUBE with GROUP BY to produce superaggregate rows by cross-referencing columns.
2. ROLLUP grouping produces a result set containing the regular grouped rows and the subtotal values.
3. CUBE grouping produces a result set containing the rows from ROLLUP and cross-tabulation rows.
SELECT [column,] group_function(column). . .from table [WHERE condition] [GROUP BY [ROLLUP] group_by_expression] [HAVING having_expression];[ORDER BY column];
//ROLLUP is an extension to the GROUP BY clause Use the ROLLUP operation to produce cumulative
aggregates, such as subtotals.
e.g. :
select nmoduleinfoid, ndocsortid, salary from t1;
1    1    1000
1    2    2100
1    3    1300
2    4    1400
select nmoduleinfoid, ndocsortid, sum(salary) from t1 group by rollup(nmoduleinfoid, ndocsortid);
1    1    1000
1    2    2100
1    3    1300
1          4400
2    4    1400
2          1400
            5800
SELECT [column,] group_function(column)... from table [WHERE condition] [GROUP BY [CUBE] group_by_expression] [HAVING having_expression] [ORDER BY column];
// CUBE is an extension to the GROUP BY clause. You can use the CUBE operator to produce cross-tabulation