Beginning Microsoft SQL Server 2008 ... - S3 Tech Training

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Chapter 9: SQL Server Storage and Index Structures Summary 296 Indexes are sort of a cornerstone topic in SQL Server or any other database environment, and are not something to be taken lightly. They can drive your performance successes, but they can also drive your performance failures. Top-level things to think about with indexes: ❑ Clustered indexes are usually faster than non-clustered indexes (one could come very close to saying always, but there are exceptions). ❑ Only place non-clustered indexes on columns where you are going to get a high level of selectivity (that is, 95 percent or more of the rows are unique). ❑ All Data Manipulation Language (DML: INSERT, UPDATE, DELETE, SELECT) statements can benefit from indexes, but inserts, deletes, and updates (remember, they use a delete and insert approach) are slowed by indexes. The lookup part of a query is helped by the index, but anything that modifies data will have extra work to do (to maintain the index in addition to the actual data). ❑ Indexes take up space. ❑ Indexes are used only if the first column in the index is relevant to your query. ❑ Indexes can hurt as much as they help — know why you’re building the index, and don’t build indexes you don’t need. ❑ Indexes can provide structured data performance to your unstructured XML data, but keep in mind that like other indexes, there is overhead involved. When you’re thinking about indexes, ask yourself these questions: Question Response Are there a lot of inserts or modifications to this table? Is this a reporting table? That is, not many inserts, but reports run lots of different ways? Is there a high level of selectivity on the data? Have I dropped the indexes I no longer need? Do I have a maintenance strategy established? If yes, keep indexes to a minimum. This kind of table usually has modifications done through single-record lookups of the primary key, and usually, this is the only index you want on the table. If the inserts are non-sequential, think about using something other than a clustered index. More indexes are fine. Target the clustered index to frequently used information that is likely to be extracted in ranges. OLAP installations will often have many times the number of indexes seen in an OLTP environment. If yes, and it is frequently the target of a WHERE clause, then add that index. If not, why not? If not, why not?
Chapter 9: SQL Server Storage and Index Structures Exercises 1. Name at least two ways of determining what indexes can be found on the HumanResources .Employee table in the AdventureWorks2008 database. 2. Create a non-clustered index on the ModifiedDate column of the Production.ProductModel table in the AdventureWorks2008 database. 3. Delete the index you created in Exercise 2. 297
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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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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 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 I’d
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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 The
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Chapter 17: Reporting for Duty, Sir
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19 Playing Administrator And so, he
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❑ Write the information to the ev
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Creating Jobs and Tasks Using Manag
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Let’s go ahead and move on to the
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Figure 19-8 Figure 19-9 Chapter 19:
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Figure 19-11 Figure 19-12 Chapter 1
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Backup and Reco very No database-dr
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❑ Differential: This might be ref
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❑ Simple: Under this model, the t
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The older DBCC commands are still s
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many rows inserted over time and th
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Chapter 19: Playing Administrator T
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Appendix A: System Functions In add
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Appendix A: System Functions @@TOTA
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Appendix A: System Functions CHECKS
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Appendix A: System Functions SUM Th
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Appendix A: System Functions The de
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Appendix A: System Functions @@REMS
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Appendix A: System Functions Cert_I
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Appendix A: System Functions Encryp
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Appendix A: System Functions @@FETC
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Appendix A: System Functions CURREN
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Appendix A: System Functions SYSDAT
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Appendix A: System Functions GetRoo
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Appendix A: System Functions The ex
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Appendix A: System Functions RAND T
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Appendix A: System Functions ❑ IN
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Appendix A: System Functions ❑ Is
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Appendix A: System Functions FILEGR
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Appendix A: System Functions INDEX_
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IsCheckCnst IsConstraint IsDefault
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Appendix A: System Functions OBJECT
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Appendix A: System Functions TYPEPR
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Appendix A: System Functions The qu
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Appendix A: System Functions The SU
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Appendix A: System Functions ASCII
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Appendix A: System Functions The ch
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Appendix A: System Functions UNICOD
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Appendix A: System Functions NULLIF
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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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