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

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Chapter 9: SQL Server Storage and Index Structures 274 At the leaf level, we have a rather sharp difference from what we’ve seen with the other two index structures: We have yet another index to look over. With clustered indexes, when we got to the leaf level, we found the actual data. With non-clustered indexes on a heap, we didn’t find the actual data, but did find an identifier that let us go right to the data (we were just one step away). With non-clustered indexes on a clustered table, we find the cluster key. That is, we find enough information to go and make use of the clustered index. We end up with something that looks like Figure 9-7. What we end up with is two entirely different kinds of lookups. In the example from our diagram, we start off with a ranged search. We do one single lookup in our index and are able to look through the non-clustered index to find a continuous range of data that meets our criterion (LIKE ‘T%’). This kind of lookup, where we can go right to a particular spot in the index, is called a seek. The second kind of lookup then starts — the lookup using the clustered index. This second lookup is very fast; the problem lies in the fact that it must happen multiple times. You see, SQL Server retrieved a list from the first index lookup (a list of all the names that start with “T”), but that list doesn’t logically match up with the cluster key in any continuous fashion. Each record needs to be looked up individually, as shown in Figure 9-8. Needless to say, this multiple-lookup situation introduces more overhead than if we had just been able to use the clustered index from the beginning. The first index search — the one through our non-clustered index — requires very few logical reads. For example, if I have a table with 1,000 bytes per row and I do a lookup similar to the one in our drawing (say, something that would return five or six rows); it would only take something to the order of 8–10 logical reads to get the information from the non-clustered index. However, that only gets me as far as being ready to look up the rows in the clustered index. Those lookups would cost approximately 3–4 logical reads each, or 15–24 additional reads. That probably doesn’t seem like that big a deal at first, but look at it this way: Logical reads went from 3 minimum to 24 maximum — that’s an 800 percent increase in the amount of work that had to be done. Now expand this thought out to something where the range of values from the non-clustered index wasn’t just five or six rows, but five or six thousand, or five or six hundred thousand rows — that’s going to be a huge impact. Don’t let the extra overhead vs. a clustered index scare you — the point isn’t meant to scare you away from using indexes, but rather to point out that a non-clustered index is generally not going to be as efficient as a clustered index from a read perspective (it can, in some instances, actually be a better choice at insertion time). An index of any kind is usually (there are exceptions) the fastest way to do a lookup. We’ll explain what index to use and why later in the chapter.
Root Non-Leaf Level Leaf Level Figure 9-7 Allison Amy Barbara 1 2 52 Chapter 9: SQL Server Storage and Index Structures 115 27 367 Fred Sally Steve 1 53 104 Allison Bill Charlie Diane Ernest Bill Bruce Frank 53 54 102 103 Select EmployeeID who is FName like “T%” 115 270 23 361 211 270 104 171 To Clustered Index Point Bob Sam Tim George Allison Fred Mike Ralph Steve 1 157 115 1 56 74 52 157 158 209 269 Steve Tom Zach Steve Sue Tim Tom Ashley Tony Ralph 52 157 99 52 105 102 157 270 410 270 276 401 Tom Tony Yolanda Bill Russ Tom 157 209 275
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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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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 374 [
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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 382 c
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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 400 @
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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 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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