Microsoft® SQL Server® 2012 Bible

247 Chapter 9: Merging Data with Joins, Subqueries, and CTEs 9 Summary Merging data is the heart of SQL, and it shows in the dep ...

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249 CHAPTER 10 Aggregating, Windowing, and Ranking Data IN THIS CHAPTER Understanding Basic Aggregations Using SQL Server Aggreg ...

250 Part II: Building Databases and Working with Data diagram) occur following the FROM clause and the WHERE fi lters. This mean ...

251 Chapter 10: Aggregating, Windowing, and Ranking Data 10 Aggregate Function Data Type Supported Description StDev Float Retur ...

252 Part II: Building Databases and Working with Data FROM Sales.SalesOrderHeader Results: Sum Avg Min Max ------------ -------- ...

253 Chapter 10: Aggregating, Windowing, and Ranking Data 10 the like. That presents a problem. If the only tool to restrict the ...

254 Part II: Building Databases and Working with Data USE AdventureWorks; SELECT Year(DueDate) DueYear,st.[Group], SUM(TotalDue) ...

255 Chapter 10: Aggregating, Windowing, and Ranking Data 10 NULL AS DueYear, st.[Group], SUM(TotalDue) TotalSalesAmount FROM Sal ...

256 Part II: Building Databases and Working with Data properly fi lter before or after the GROUP BY. SQL, however, uses the HAVI ...

257 Chapter 10: Aggregating, Windowing, and Ranking Data 10 Although these two methods are similar to aggregating data, they sho ...

258 Part II: Building Databases and Working with Data 4 49 2006-03-01 00:00:00.000 5 59 2006-03-05 00:00:00.000 6 69 2006-03-06 ...

259 Chapter 10: Aggregating, Windowing, and Ranking Data 10 Ranking Functions .................................................. ...

260 Part II: Building Databases and Working with Data WHERE EmployeeID = 259 AND ROW_NUMBER() OVER(ORDER BY PurchaseOrderID, Shi ...

261 Chapter 10: Aggregating, Windowing, and Ranking Data 10 32 32 2006-02-17 00:00:00.000 33 33 2006-02-25 00:00:00.000 34 34 20 ...

262 Part II: Building Databases and Working with Data 37 37 2006-02-25 00:00:00.000 38 38 2006-02-25 00:00:00.000 39 39 2006-02- ...

263 Chapter 10: Aggregating, Windowing, and Ranking Data 10 USE AdventureWorks GO SELECT ProductID, SalesCount, RANK() OVER (ORD ...

264 Part II: Building Databases and Working with Data 5 through 10 get 7 rows each. This can skew the results for smaller data s ...

265 Chapter 10: Aggregating, Windowing, and Ranking Data 10 911 6 2 927 9 2 898 9 2 897 2 1 942 5 1 943 6 1 Like the other three ...

266 Part II: Building Databases and Working with Data Result (abbreviated): Product ID Product SalesCount Percentile SubCat SubP ...