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RANK and DENSE_RANK are very similar to ROW_NUMBER. The difference is how the functions deal with ties in the ORDER BY values. RANK assigns the same number to the duplicate rows and skips numbers not used. DENSE_RANK doesn t skip numbers. For example, if rows 2 and 3 are duplicates, RANK will supply the values 1, 3, 3, and 4, and DENSE_RANK will supply the values 1, 2, 2, and 3. Here is the syntax: --1 RANK exampple SELECT <col1>, RANK() OVER([PARTITION BY <col2>,<col3>] ORDER BY <col1>,<col2>) FROM <table1> --2 DENSE_RANK example SELECT <col2>, DENSE_RANK() OVER([PARTITION BY <col2>,<col3>] ORDER BY <col1>,<col2>) FROM <table1> Type in and execute the code in Listing 10-14 to learn how to use RANK and DENSE_RANK. Listing 10-14. Using RANK and DENSE_RANK USE AdventureWorks2008; GO SELECT CustomerID,COUNT(*) AS CountOfSales, RANK() OVER(ORDER BY COUNT(*) DESC) AS Ranking, ROW_NUMBER() OVER(ORDER BY COUNT(*) DESC) AS Row, DENSE_RANK() OVER(ORDER BY COUNT(*) DESC) AS DenseRanking FROM Sales.SalesOrderHeader GROUP BY CustomerID ORDER BY COUNT(*) DESC; Figure 10-14 shows the partial results. The query compares ROW_NUMBER to RANK and DENSE_RANK. In each expression, the count of the sales for each customer determines the order of the numbers. barcode add in for word and excel pour windows Barcode Excel Add-In TBarCode Office: Create Barcodes in Excel
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This set up will allow the ability to add the IDAutomation VBA Code and Barcode Macros as an add-in for Excel so the IDAutomation Barcode Macro functions ... While the other ranking functions supply a row number or rank to each row, the NTILE function assigns buckets to groups of rows. For example, suppose the AdventureWorks company wants to divide up bonus money for the sales staff. You can use the NTILE function to divide up the money based on the sales by each employee. Here is the syntax: SELECT <col1>, NTILE(<buckets>) OVER([PARTITION BY <col1>,<col1>] ORDER BY <col1>,<col2>) AS <alias> FROM <table1> Type in and execute Listing 10-15 to learn how to use NTILE. Listing 10-15. Using NTILE USE AdventureWorks2008; GO SELECT SalesPersonID,SUM(TotalDue) AS TotalSales, NTILE(10) OVER(ORDER BY SUM(TotalDue)) * 10000/COUNT(*) OVER() AS Bonus FROM Sales.SalesOrderHeader WHERE SalesPersonID IS NOT NULL AND OrderDate BETWEEN '1/1/2004' AND '12/31/2004' GROUP BY SalesPersonID ORDER BY TotalSales; Figure 5-9. Table properties 13. Now that we are finished, we can save the table either by clicking the Save toolbar button, which sports a floppy disk icon, or by clicking the X (close) button on the Table Designer to close the window, which should bring up the Save dialog box, asking if we want to save the changes. By clicking Yes, we get a second box asking for the name of the table if we didn t enter a table name in the Table Properties dialog window as shown in Figure 5-10, or the table is saved using the name specified and we are returned to SQL Server Management Studio. Executing the full-text query Load the next element if ( items.next() ) { Item item = (Item) items.get()[0]; Read the object Figure 5-10. Saving a table that was not given a name 14. If you now right-click the table and select Properties, you can see important details about the table, as shown in Figure 5-11. The first section details who is currently connected. Then we see the date the table was created, its name, and the schema name of the owner of the table. excel barcodes 2010 Barcodes in Excel 2003, XP, 2000 spreadsheets - ActiveBarcode
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