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Appendix A: System Functions @@TOTAL_READ and @@TOTAL_WRITE Respectively return the total number of disk reads/writes by <strong>SQL</strong> <strong>Server</strong> since it was last started. The names here are a little misleading, as these do not include any reads from cache — they are only physical I/O. @@TRANCOUNT Returns the number of active transactions — essentially the transaction nesting level — for the current connection. This is a very big one when you are doing transactioning. I’m not normally a big fan of nested transactions, but there are times where they are difficult to avoid. As such, it can be important to know just where you are in the transaction-nesting side of things (for example, you may have logic that only starts a transaction if you’re not already in one). If you’re not in a transaction, then @@TRANCOUNT is 0. From there, let’s look at a brief example: SELECT @@TRANCOUNT As TransactionNestLevel --This will be zero --at this point BEGIN TRAN SELECT @@TRANCOUNT As TransactionNestLevel --This will be one --at this point BEGIN TRAN SELECT @@TRANCOUNT As TransactionNestLevel --This will be two --at this point COMMIT TRAN SELECT @@TRANCOUNT As TransactionNestLevel --This will be back to one --at this point ROLLBACK TRAN SELECT @@TRANCOUNT As TransactionNestLevel --This will be back to zero --at this point Note that, in this example, the @@TRANCOUNT at the end would also have reached zero if we had a COM- MIT as our last statement. Aggregate Functions 590 Aggregate functions are applied to sets of records rather than a single record. The information in the multiple records is processed in a particular manner and then is displayed in a single record answer. Aggregate functions are often used in conjunction with the GROUP BY clause. The aggregate functions are: ❑ AVG ❑ CHECKSUM
❑ CHECKSUM_AGG ❑ COUNT ❑ COUNT_BIG ❑ GROUPING ❑ MAX ❑ MIN ❑ STDEV ❑ STDEVP ❑ SUM ❑ VAR ❑ VARP In most aggregate functions, the ALL or DISTINCT keywords can be used. The ALL argument is the default and will apply the function to all the values in the expression, even if a value appears numerous times. The DISTINCT argument means that a value will only be included in the function once, even if it occurs several times. Aggregate functions cannot be nested. The expression cannot be a subquery. AVG AVG returns the average of the values in expression. The syntax is as follows: AVG([ALL | DISTINCT] ) The expression must contain numeric values. NULL values are ignored. This function supports the OVER operator described in the ranking functions section of this appendix. CHECKSUM This is a basic hash algorithm usually used to detect changes or consistency in data. This particular function accepts either an expression as an argument or a * (which implies that you want all columns in all the joined tables to be included). The basic syntax is: CHECKSUM(, […n] | * ) Note that the order of your expression — or in the case of a *, the join order — will affect the checksum value, so, for example: CHECKSUM(SalesOrderID, OrderDate) would not give the same result as: CHECKSUM(OrderDate, SalesOrderID ) This function is NOT compatible with the OVER operator. Apendix A: System Functions 591
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Programmer to Programmer Get more
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Beginning Microsoft SQL Ser ver® 2
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Beginning Microsoft SQL Ser ver® 2
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About the Author Experiencing his f
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Acknowledgments Over the years, the
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Contents Chapter 2:T ools of the T
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Contents xviii The CREATE Statement
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Contents xx Correlated Subqueries 1
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Contents xxii SORT_IN_TEMPDB 280 ON
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Contents xxiv Control-of-Flow State
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Contents xxvi How the SQL Ser ver L
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Contents Chapter 16: A Brief XML Pr
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Contents Chapter 19: Pla ying Admin
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Introduction The beginning user wil
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Introduction ❏ We show file names
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Introduction xxxvi ❏ Understand t
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Chapter 1: RDBMS Basics: What Makes
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Chapter 2: Tools of the Trade 22 My
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Chapter 2: Tools of the Trade ❑ S
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Chapter 2: Tools of the Trade 26 Ke
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Chapter 2: Tools of the Trade 28 Th
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Chapter 2: Tools of the Trade 30 lo
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Chapter 2: Tools of the Trade 32 3.
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Chapter 2: Tools of the Trade 34 Fi
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Chapter 2: Tools of the Trade Figur
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Chapter 2: Tools of the Trade Note
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Chapter 2: Tools of the Trade bcp i
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3 The Foundation Statements of T-SQ
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asic SELECT statement. Fire up the
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Now let’s try taking a little bit
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very few of your tables will have s
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Operator Example Usage Effect ALL,
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Chapter 3: The Foundation Statement
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WHERE SalesOrderID IN (43660, 43670
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AVG This one is for computing avera
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efore, but remove the two AS keywor
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You’ll get a result that is a bit
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What if we want to place conditions
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Let’s say, for example, that we w
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City varchar(20) NOT NULL, State ch
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for it in the INSERT statement. For
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And sure enough, we get back the on
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Chapter 4: JOINs 82 returned is in
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Chapter 4: JOINs 84 Using an INNER
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Chapter 4: JOINs 86 Uh, oh — this
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Chapter 4: JOINs How It Works Unlik
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Chapter 4: JOINs If we were to look
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Chapter 4: JOINs 92 What I’m tryi
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Chapter 4: JOINs 16 Mountain-500 Si
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Chapter 4: JOINs 96 Let’s use thi
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Chapter 4: JOINs 98 vendor. We’re
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Chapter 4: JOINs 100 Somehow, we lo
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Chapter 4: JOINs Try It Out FULL JO
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Chapter 4: JOINs Every time I teach
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Chapter 4: JOINs JOIN Sales.Special
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Chapter 4: JOINs Figure 4-1 As alwa
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Chapter 4: JOINs 110 CREATE TABLE U
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Chapter 4: JOINs There are two diff
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Chapter 5: Creating and Altering Ta
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Chapter 6: Constraints At a more sp
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Chapter 6: Constraints We can then
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Chapter 6: Constraints A table can
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Chapter 6: Constraints FOREIGN KEY
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Chapter 6: Constraints How It Works
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Chapter 6: Constraints Cascading Ac
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Chapter 6: Constraints 166 This is
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Chapter 6: Constraints 168 FROM Ord
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Chapter 6: Constraints 170 Let’s
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Chapter 6: Constraints CHECK Constr
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Chapter 6: Constraints Defining a D
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Chapter 6: Constraints Ignoring Bad
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Chapter 6: Constraints Try running
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Chapter 6: Constraints Rules and De
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Chapter 6: Constraints Dropping Rul
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Chapter 6: Constraints 184 Restrict
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7 Adding More to Our Queries When I
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Building a Nested Subquery A nested
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While this works just fine, queries
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We’ll go back to the AdventureWor
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❑ Aliases are used in both querie
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Now let’s see this at work in our
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So let’s take this now and apply
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This join-based syntax, for example
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IF NOT EXISTS (SELECT ‘True’ FR
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The conversions can actually get a
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there are no other roll up records
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GROUP BY soh.OrderDate, sod.Product
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OUTPUT $action, inserted.Year, inse
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The long-standing, traditional view
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8 Being Normal: Normalization and O
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Chapter 8: Being Normal: Normalizat
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9 SQL Ser ver Storage and Index Str
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Page Splits When a page becomes ful
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The point here is that what happens
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Page Splits — A First Look All of
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You may hear lots of bad things abo
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Navigating the Tree Figure 9-4 As I
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there was no link between the data.
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Root Non-Leaf Level Leaf Level Figu
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The CREATE INDEX Statement The CREA
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FILLFACTOR When SQL Server first cr
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works only if tempdb is on a separa
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Secondary XML Indexes Chapter 9: SQ
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occur, and that one or more non-lea
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isn’t room on the page, SQL Serve
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more administrator oriented and usu
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The Database Engine Tuning Advisor
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The output is far more self-describ
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We use a FILLFACTOR when we need to
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Chapter 9: SQL Server Storage and I
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Chapter 10: Views The preceding syn
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Chapter 10: Views 302 columns to a
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Chapter 10: Views Try It Out Using
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Chapter 10: Views 306 soh.SalesOrde
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Chapter 10: Views AW00000676 43659
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Chapter 10: Views NULL values will
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Chapter 10: Views Editing V iews wi
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Chapter 10: Views 314 There are fou
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Chapter 10: Views Editing Views in
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Chapter 10: Views 318 In addition,
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Chapter 10: Views 320 from the firs
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Chapter 10: Views You can get the y
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11 Writing Scripts and Batches Whet
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Next we have a DECLARE statement to
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I’m not going to pick any bones a
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Using @@IDENTITY @@IDENTITY is one
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How It Works What we’re doing in
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DECLARE @RowCount int; --Notice the
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When the editing tool encounters a
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When you think about it, this seems
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So, let’s try a quick query direc
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We now have our text file source fo
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Let’s build an example in the Adv
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DECLARE @InVar varchar(50); DECLARE
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-- This won’t work DECLARE @Numbe
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-- Now we’re run our conditional
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Out of the condition from inner con
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A Simple CASE A simple CASE takes a
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3 8 More Than One Apart 2 2 Ends Wi
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Now, I don’t know about you, but
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The WAITFOR statement does exactly
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IF @ErrorNo = 2714 -- Object exists
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Chapter 11: Writing Scripts and Bat
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Chapter 12: Stored Procedures Creat
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Chapter 12: Stored Procedures Dropp
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Chapter 12: Stored Procedures Suppl
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Chapter 12: Stored Procedures Confi
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Chapter 12: Stored Procedures Now,
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Chapter 12: Stored Procedures SQL S
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Chapter 12: Stored Procedures It wo
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Chapter 12: Stored Procedures Note
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Chapter 12: Stored Procedures All t
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Chapter 12: Stored Procedures Sproc
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Chapter 12: Stored Procedures When
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Chapter 12: Stored Procedures match
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Chapter 12: Stored Procedures There
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13 User-Defined Functions Well, her
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types!), except for BLOBs, cursors,
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We get back the same set as with th
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AS RETURN (SELECT BusinessEntityID,
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in your relational database. These
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AS BEGIN ( EmployeeID int NOT NULL,
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So, as you can see, we can actually
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Despite being schema-bound, this on
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14 Transactions and Locks This is o
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we are unable or do not want to com
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Figure 14-1 Data needed Data in cac
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Transaction 4 This transaction wasn
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Oops — problem!!! Transaction 2 h
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The only cure for this is setting y
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Exclusive Locks Exclusive locks are
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Also: ❑ The Sch-S is compatible w
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The syntax for switching between th
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As with most things in life, howeve
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purchased. Process 2 records sales;
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Chapter 14: Transactions and Locks
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Chapter 15: Triggers the world’s
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Chapter 15: Triggers WITH ENCRYPTIO
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Chapter 15: Triggers FOR|AFTER The
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Chapter 15: Triggers 458 To illustr
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Chapter 15: Triggers 460 IF EXISTS
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Chapter 15: Triggers ❑ Feeding de
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Chapter 15: Triggers Trigger Firing
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Chapter 15: Triggers Like regular t
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Chapter 15: Triggers The COLUMNS_UP
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Chapter 15: Triggers This is the sa
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Chapter 15: Triggers 472 we have th
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Chapter 16: A Brief XML Primer So,
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Chapter 16: A Brief XML Primer Figu
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Chapter 16: A Brief XML Primer Elem
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Chapter 16: A Brief XML Primer ❑
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Chapter 16: A Brief XML Primer 482
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Chapter 16: A Brief XML Primer Name
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Chapter 16: A Brief XML Primer The
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Chapter 16: A Brief XML Primer 2. W
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Chapter 16: A Brief XML Primer SQL
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Chapter 16: A Brief XML Primer So,
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Chapter 16: A Brief XML Primer If,
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Chapter 16: A Brief XML Primer Note
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Chapter 16: A Brief XML Primer RAW
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Chapter 16: A Brief XML Primer AUTO
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Chapter 16: A Brief XML Primer EXPL
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Chapter 16: A Brief XML Primer Chec
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Chapter 17: Reporting for Duty, Sir
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Appendix A: System Functions CAST a
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Appendix A: System Functions HOST_I
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Appendix A: System Functions NULLIF
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Appendix A: System Functions 646 Pr
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Appendix A: System Functions Text a
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Appendix B: Very Simple Connectivit
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ABS function A ABS function, 611 AC
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closing tags closing tags, XML docu
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cryptographic functions (continued)
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defects defects. See well formed XM
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EXPLICIT option EXPLICIT option bas
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IGNORE_DUP_KEY option (CREATE INDEX
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LOWER function LOWER function, 635
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online transaction-processing (OLTP
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query results query results alphabe
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scripts (continued) creating with M
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state state, basics of, 391 stateme
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transactions (continued) COMMIT TRA
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View Builder View Builder (Manageme
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