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

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Chapter 9: SQL Server Storage and Index Structures The way the physical data is stored varies between clustered and non-clustered indexes. The way SQL Server traverses the B-Tree to get to the end data varies between all three index types. All SQL Server indexes have leaf level and non-leaf level pages. As we mentioned when we discussed B- Trees, the leaf level is the level that holds the “key” to identifying the record, and the non-leaf level pages are guides to the leaf level. The indexes are built over either a clustered table (if the table has a clustered index) or what is called a heap (what’s used for a table without a clustered index). Clustered Tables A clustered table is any table that has a clustered index on it. Clustered indexes are discussed in detail shortly, but what they mean to the table is that the data is physically stored in a designated order. Individual rows are uniquely identified through the use of the cluster key — the columns that define the clustered index. This should bring to mind the question, “What if the clustered index is not unique?” That is, how can a clustered index be used to uniquely identify a row if the index is not a unique index? The answer lies under the covers: SQL Server forces any clustered indexes to be unique — even if you don’t define them that way. Fortunately, it does this in a way that doesn’t change how you use the index. You can still insert duplicate rows if you wish, but SQL Server will add a suffix to the key internally to ensure that the row has a unique identifier. Heaps A heap is any table that does not have a clustered index on it. In this case, a unique identifier, or row ID (RID), is created based on a combination of the extent, pages, and row offset (places from the top of the page) for that row. A RID is only necessary if there is no cluster key available (no clustered index). Clustered Indexes 270 A clustered index is unique for any given table — you can only have one per table. You don’t have to have a clustered index, but you’ll find it to be one of the most commonly chosen types for a variety of reasons that will become apparent as we look at our index types. What makes a clustered index special is that the leaf level of a clustered index is the actual data — that is, the data is re-sorted to be stored in the same physical order of the index sort criteria state. This means that once you get to the leaf level of the index, you’re done; you’re at the data. Any new record is inserted according to its correct physical order in the clustered index. How new pages are created changes depending on where the record needs to be inserted. In the case of a new record that needs to be inserted into the middle of the index structure, a normal page split occurs. The last half of the records from the old page are moved to the new page, and the new record is inserted into the new or old page as appropriate. In the case of a new record that is logically at the end of the index structure, a new page is created, but only the new record is added to the new page, as shown in Figure 9-4.
Navigating the Tree Figure 9-4 As I’ve indicated previously, even the indexes in SQL Server are stored in a B-Tree. Theoretically, a B-Tree always has half of the remaining information in each possible direction as the tree branches. Let’s take a look at a visualization of what a B-Tree looks like for a clustered index (Figure 9-5). Root Non-Leaf Level Leaf Level is Data Page Figure 9-5 1 2 52 Fred Sally Steve Chapter 9: SQL Server Storage and Index Structures 1 2 3 4 5 53 54 103 × 1 53 104 Bob Sam George Ordered insert as last record in a Cluster Key 5 104 105 156 Bruce Sue New record to be inserted but the page is full. Since it is last, it is added to an entirely new page without disturbing the existing data. 1 157 157 158 269 Looking for Records 158 through 400 Tom Ashley Ralph 270 271 400 401 157 270 410 Bill Margot Tom 411 412 Mike Nancy 271
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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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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 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 It wo
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Chapter 12: Stored Procedures Note
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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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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 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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