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You ve seen how you can derive subtotals with the help of the GROUP BY clause. The GROUP BY clause with a ROLLUP operator gives you subtotals and total values. You can thus build subtotal aggregates at any level. In other words, the ROLLUP operator gets you the aggregates at each group by level. The subtotal rows and the grand total row are called the superaggregate rows. Listing A-3 shows an example of using the ROLLUP operator. Listing A-3. A GROUP BY Clause with a ROLLUP Operator SQL> SELECT Year,Country,SUM(Sales) AS Sales FROM Company_Sales GROUP BY ROLLUP (Year,Country); YEAR -------1997 1997 1997 1998 1998 1998 1999 1999 1999 SQL> COUNTRY -------France USA France USA France USA SALES ------3990 13090 17080 4310 13900 18210 4570 14670 19240 54530

100000 90000

/*This is the grand total */

You can consider the CUBE operator to be an extension of the ROLLUP operator, as it helps extend the standard Oracle GROUP BY clause. The CUBE operator computes all possible combinations of subtotals in a GROUP BY operation. In the previous example, the ROLLUP operator gave you yearly subtotals. Using the CUBE operator, you can get countrywide totals in addition to the yearly totals. Here s a simple example: SQL> SELECT department_id, job_id, SUM(salary) 4 FROM employees 5 GROUP BY CUBE (department_id, job_id); DEPARTMENT_ID ------------10 20 20 30 30 . . . SQL> JOB_ID --------AD_ASST MK_MAN MK_REP PU_MAN PU_CLERK SUM(SALARY) ----------44000 130000 60000 110000 139000

Elapsed Time (Milliseconds)

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As you ve seen, the ROLLUP operator gets you the superaggregate subtotals and grand totals. The GROUPING operator in a GROUP BY clause helps you distinguish between superaggregated subtotals and the grand total column from the other row data.

The GROUPING SETS operator lets you group multiple sets of columns when you re calculating aggregates such as sums. Here s an example that shows how you can use this operator to calculate aggregates over three groupings: (year, region, item), (year, item), and (region, item). The GROUPING SETS operator eliminates the need for inefficient UNION ALL operators. SQL> SELECT year, region, item, sum(sales) FROM regional_salesitem GROUP BY GROUPING SETS (( year, region, item), (year, item), (region, item));

The HAVING operator lets you restrict or exclude the results of a GROUP BY operation, in essence putting a WHERE condition on the GROUP BY clause s result set. In the following example, the HAVING operator restricts the query results to only those departments that have a maximum salary greater than 20,000: SQL> 2 3 4* SELECT department_id, max(salary) FROM employees GROUP BY department_id HAVING MAX(salary)>20000; MAX(SALARY) ----------24000

80000 70000

Subqueries resolve queries that have to be processed in multiple steps where the final result depends on the results of a child query or subquery to the main query. If the subquery occurs in the WHERE clause of the statement, it s called a nested subquery.

The following query gives you the top ten employees in a firm ranked by salary. You can just as easily retrieve the bottom ten employees by using the ORDER BY clause instead of the ORDER BY DESC clause. SQL> SELECT emp_id, emp_name, job, manager, salary FROM (SELECT emp_id, emp_name, job, manager, salary, RANK() OVER (ORDER BY SALARY DESC NULLS LAST) AS Employee_Rank FROM employees ORDER BY SALARY DESC NULLS LAST) WHERE employee_Rank < 5; Subqueries can be single-row or multiple-row SQL statements. Let s take a quick look at both types of subqueries.

devices act as clients at the very bottom of the NTP hierarchy or they act as secondary servers. In their capacity as secondary servers, they typically receive time synchronization from a primary timeserver or from one of their own colleagues that s configured with a lower stratum number. However, the fact that routers and switches do not make the best and most reliable timeservers does not diminish that they need to be synchronized in time if the logging activity on the network is going to have any integrity whatsoever. And network administrators are very conscious of how critical accurate logs are when there is a failure, security breach, or intermittent connectivity problem that needs to be resolved. From the network administration perspective, it is thus critical that routers and switches be configured as NTP clients, regardless of whether they additionally act as secondary servers to other clients.

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