Figure 8-5 shows the plan for this query. in C#

Print QR Code JIS X 0510 in C# Figure 8-5 shows the plan for this query.

Figure 8-5 shows the plan for this query.
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FIGURE 8-5 Execution plan of query that lters a single grouping set
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This plan is very ef cient. It scans only the rows that are associated with the requested grouping set because they reside in a consecutive section in the leaf of the clustered index. Provided that you are using aggregates that are additive measures, like SUM, COUNT, and AVG, you can apply incremental updates to the stored aggregates with only the delta of additions since you last processed those aggregates. You can achieve this by using the new MERGE statement that was introduced in SQL Server 2008. Here I m just going to show the code to demonstrate how this is done. For details about the MERGE statement, please refer to 10, Data Modi cation.
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Aggregating and Pivoting Data
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Run the following code to simulate another day s worth of order activity (April 19, 2008):
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INSERT INTO dbo.Orders (orderid, orderdate, empid, VALUES (50001, '20080419', 1, 'A', (50002, '20080419', 1, 'B', (50003, '20080419', 2, 'A', (50004, '20080419', 2, 'B', (50005, '20080419', 3, 'A',
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custid, qty) 10), 30), 20), 5), 15)
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Then run the following code to incrementally update the stored aggregates with the new day s worth of data:
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WITH LastDay AS ( SELECT GROUPING_ID( custid, empid, YEAR(orderdate), MONTH(orderdate), DAY(orderdate) ) AS grp_id, custid, empid, YEAR(orderdate) AS orderyear, MONTH(orderdate) AS ordermonth, DAY(orderdate) AS orderday, SUM(qty) AS qty FROM dbo.Orders WHERE orderdate = '20080419' GROUP BY CUBE(custid, empid), ROLLUP(YEAR(orderdate), MONTH(orderdate), DAY(orderdate)) ) MERGE INTO dbo.MyGroupingSets AS TGT USING LastDay AS SRC ON (TGT.grp_id = SRC.grp_id) AND (TGT.orderyear = SRC.orderyear OR (TGT.orderyear IS NULL AND SRC.orderyear IS NULL)) AND (TGT.ordermonth = SRC.ordermonth OR (TGT.ordermonth IS NULL AND SRC.ordermonth IS NULL)) AND (TGT.orderday = SRC.orderday OR (TGT.orderday IS NULL AND SRC.orderday IS NULL)) AND (TGT.custid = SRC.custid OR (TGT.custid IS NULL AND SRC.custid IS NULL)) AND (TGT.empid = SRC.empid OR (TGT.empid IS NULL AND SRC.empid IS NULL)) WHEN MATCHED THEN UPDATE SET TGT.qty += SRC.qty WHEN NOT MATCHED THEN INSERT (grp_id, custid, empid, orderyear, ordermonth, orderday) VALUES (SRC.grp_id, SRC.custid, SRC.empid, SRC.orderyear, SRC.ordermonth, SRC.orderday);
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The code in the CTE LastDay calculates aggregates for the same grouping sets as in the original query but lters only the last day s worth of data. The MERGE statement then increments the quantities of groups that already exist in the target by adding the new quantities and inserts the groups that don t exist in the target.
Inside Microsoft SQL Server 2008: T-SQL Querying
Sorting
Consider a request to calculate the total quantity aggregate for all grouping sets in the hierarchy order year > order month > order day. You can achieve this, of course, by simply using the ROLLUP subclause. However, a tricky part of the request is that you need to sort the rows in the output in a hierarchical manner, that is, days of a month, followed by the month total, months of a year followed by the yearly total, and nally the grand total. This can be achieved with the help of the GROUPING function as follows:
SELECT YEAR(orderdate) AS orderyear, MONTH(orderdate) AS ordermonth, DAY(orderdate) AS orderday, SUM(qty) AS totalqty FROM dbo.Orders GROUP BY ROLLUP(YEAR(orderdate), MONTH(orderdate), DAY(orderdate)) ORDER BY GROUPING(YEAR(orderdate)) , YEAR(orderdate), GROUPING(MONTH(orderdate)), MONTH(orderdate), GROUPING(DAY(orderdate)) , DAY(orderdate);
Remember that the GROUPING function returns 0 when the element is a member of a grouping set (representing detail) and 1 when the element isn t (representing an aggregate). Because we want to present detail before aggregates, the GROUPING function is very convenient. We want to rst see the detail of years and at the end the grand total. Within the detail of years, we want to sort by year. Within each year, we want to rst see the detail of months and then the year total. Within the detail of months, we want to sort by month. Within the month we want to sort by the detail of days and then month total. Within the detail of days, we want to sort by day. This query generates the following output:
orderyear ----------2006 2006 2006 2006 2006 2006 2006 2006 2006 2007 2007 2007 2007 2007 2007 ordermonth ----------4 4 8 8 9 9 12 12 NULL 1 1 1 2 2 NULL orderday ----------18 NULL 2 NULL 7 NULL 24 NULL NULL 9 18 NULL 12 NULL NULL totalqty ----------22 22 10 10 30 30 32 32 94 40 14 54 12 12 66
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