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The following command creates a Server Audit Specification and assigns it to the SQL Server 2008 Bible Audit: CREATE SERVER AUDIT SPECIFICATION [ServerAuditSpecification-20090204-212943]

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Part VIII Monitoring and Auditing

action groups The following command creates a Server Audit Specification and assigns it to the SQL

Server 2008 Bible Audit:

CREATE SERVER AUDIT SPECIFICATION

[ServerAuditSpecification-20090204-212943]

FOR SERVER AUDIT [SQL Server 2008 Bible Audit]

ADD (DBCC_GROUP), ADD (FULLTEXT_GROUP), ADD (DATABASE_CHANGE_GROUP) WITH (STATE = ON)

Modifying Server Audit Specifications

New Action Audit Types may be added to the Server Audit Specification if the Server Audit Specification

is disabled:

Alter Server Audit Specification name

Add (Action Group)

To redirect a Server Audit Specification to a new SQL Server Audit, both the Server Audit Specification

and the new SQL Server Audit must be disabled

Database Audit Specifications

Database Audit Specifications are created using the same UI dialog as the Server Audit Specification Like

the Server Audit Specification there may only be one Database Audit Specification per SQL Audit To

create multiple Database Audit Specifications there must be multiple SQL Audits — one per Database

Audit Specification

The critical point is that Database Audit Specifications can audit DML events such as select, insert,

update, and delete, as shown in Figure 61-3 You can also see the list of possible Database Audit Action

Types in the drop-down list

Viewing the Audit Trail

The easiest way to view the audit trail is to select the SQL Server Audit in Object Explorer and select

View Logs in the context menu This opens the Log File Viewer to the Audit Collection, as shown in

Figure 61-4 The filter is useful to narrow the event viewed

Using T-SQL, the logs can be read with thefn_get_audit_filefunction

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FIGURE 61-3

This Database Audit Specification will record every select statement executed by the dbo user in the

AdventureWorks2008 database, and pass the audit data to the SQL Server 2008 Bible SQL Audit

bucket

FIGURE 61-4

Viewing the audit history using Management Studio’s Log File Viewer Here, select statements issued

in AdventureWorks2008 are being audited on a per-table basis

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Part VIII Monitoring and Auditing

Summary

Extended Events is a powerful new auditing technology for Windows and SQL Server But by itself,

it takes a lot of work to use Extended Events SQL Audit is a powerful collection of objects, easily

configured, that extend and leverage Extended Events and makes it useful today If your shop is running

Enterprise Edition, I see no reason to continue with other auditing technologies such as tracing or

triggers for compliance and monitoring SQL Audit is the future

Major highlights of this chapter include the following:

■ Each instance may have multiple SQL Audits — collection buckets for audit data that can write to an audit file, application log, or security event log

■ Each SQL Audit can have one Server Database Specification and one Database Audit Specifica-tion writing to that SQL Audit Each Server or Database Audit SpecificaSpecifica-tion may have multiple events or actions that it’s auditing

■ Database Audit Specifications can audit DML statements: select, insert, update, and delete In addition, the audit details include user context information

This part covers another new monitoring technology targeted at enterprise servers Management Data

Warehouse is a strategic tool, both for Microsoft and the IT shops that adopt it

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Management Data

Warehouse

IN THIS CHAPTER

Collecting management data Configuring MDW

The default collection set

Denmark is primarily an Oracle country SQL Server accounts for perhaps

10% of the database servers, but that number is growing So at the

SQL Open World 2007 (hosted by Miracleas.dk)at Lalandia in Rødby,

Denmark, most of the attendees were Oracle DBAs and developers wanting to

learn more about SQL Server For me, as a presenter, it was a great time to learn

more about the gap between SQL Server and Oracle At Lalandia, the guests

stay in cottages near the conference center (and indoor beach, but that’s another

story) While walking to the cottages I asked the Oracle DBAs, ‘‘What could SQL

Server do better? What do you as Oracle DBAs take for granted with Oracle

that you don’t see in SQL Server?’’ The singular answer was that Oracle DBAs

build a data warehouse to gather performance stats, and then they use this data

warehouse to analyze the baselines and performance trends And they were right,

that’s a wonderful practice missing from the SQL Server community

Allow me to introduce the Management Data Warehouse

New to SQL Server 2008 Enterprise Edition, the Management Data Warehouse

(MDW) is a significant strategic development in the progress of SQL Server

The collection of management data is what has been missing in Microsoft’s plans

to take SQL Server to the next level Even if you don’t see much benefit to the

MDW now, believe me, it’s one of the most strategic SQL Server new features in

this decade

Of course, there are other third party systems that collect management data for

later analysis, and it’s not hard to develop one yourself But, with a well-designed

management data warehouse solution built into SQL Server 2008 Enterprise

Edition, it’s worth trying it before going down an alternative route

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Part VIII Monitoring and Auditing

Configuring MDW

As with any data warehouse, there are basically three key elements:

■ The collection of source data

■ The extract-transform-load (ETL), process that populates the data warehouse

■ The schema of the data warehouse itself

MDW is designed for large enterprises, so the assumption is that there’s a dedicated server for the MDW

database, but it’s possible to collect data from any server and post it to any server

MDW has a default collection set, default data warehouse schema, default programmability objects,

and default reports, but it’s possible to create and configure custom collection sets While the default

collection set has a lame name, it’s actually a rather powerful and complete collection set Don’t consider

designing your own, or extending the default set until you’ve mastered the details of the default

collection set

MDW can be configured and operate using only context menus, wizards, and property pages, but it’s

possible to create and control collection sets with T-SQL code

Configuring a data warehouse

It’s easy to configure and start a default configuration

The data warehouse that will receive the data must be created prior to configuring a collection that will

collect and send that data to the warehouse

To create a MDW data warehouse, connect Object Explorer to the server that will house the data

ware-house, open the server’s Management➪ Data Collection context menu and select Configure Management

Data Warehouse, which launches the wizard

The Configure Management Data Warehouse Wizard can perform one of two tasks In this case, select

the first task: Create or upgrade a management data warehouse This lets you select an existing database

or create a new database which will serve as the MDW data warehouse The wizard will create all the

required objects (tables, views, stored procedures, etc) in the new data warehouse

Configuring a data collection

The data collection is created on the server that will have its management data gathered by MDW So,

on the server that will be tracked, in Management Studio’s Object Explorer, open the server’s

Manage-ment➪ Data Collection context menu and select Configure Management Data Warehouse

Choosing the wizard’s second task option will set-up all the objects in the source server for collecting

the management data The only significant option is choosing the MDW database that will be the

desti-nation of the collected data

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Once data collection has been install, it can be enabled or disable on the source server using

Management➪ Data Collection context menu

The default collection actually includes three separate collection sets: Disk Usage, Query Statistics,

and Server Activity (shown in Figure 62-1) Each collection set can be started, stopped, and manually

uploaded using their respective context menus

FIGURE 62-1

In this view of MDW, the three collection sets are open in Object Explorer and the central portion of

the default MDW data warehouse schema is open in the database diagramming tool

The collection set can be further configured in the Collection Set Properties page, illustrated in

Figure 62-2 It’s opened from the collection set’s context menu

Each collection set may actually include multiple collection items, each defining a script or query that

will typically select management of performance data from SQL Server’s system stored procedures or

Dynamic Management Views (DMVs) The properties page is also used to set the ETL schedule and

retention duration

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Part VIII Monitoring and Auditing

FIGURE 62-2

The Collection Set Properties page is used to fine tune each collection set A key point on this page

is the duration retention

The MDW Data Warehouse

When initialized, MDW includes a default collection set which gathers a rather extensive set of

perfor-mance and operational data about SQL Server The default MDW data warehouse actually consists of:

■ 30 tables in the data warehouse database (some of which are shown in Figure 62-1)

■ 5 views, 64 stored procedures, and 9 user-defined functions all designed to extract information from the data warehouse

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The default MDW data warehouse supports three preconfigured reports To find the three reports, look

under the Management➪ Data Collection context menu in the source server

Summary

Management Data Warehouse is a great way to collect data for baselining performance, finding trends,

or diagnosing issues, which begs the question: what will you do with all that information? I believe that

MDW is the strategic foundation for lots of good things to come

As a side note, third-party vendors who create add-on software for Microsoft applications who survive

by dancing with an elephant — they had better be nimble and quick They need to exploit a feature gap

for a version of two and move on The feature gap in SQL Server 2008 is right here at the end of MDW

The third party vendors who are smart will write reports and create tools that analyze MDW data and

offer tuning advice

This chapter completes Part VIII — a survey of monitoring and auditing technologies in SQL Server

2008 No one can ever accuse SQL Server of not being transparent

The next part logically builds on this part and moves into the realm of the performance tuning and

optimization skill set

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Performance Tuning

and Optimization

IN THIS PART

Chapter 63

Interpreting Query Execution Plans

Chapter 64

Indexing Strategies

Chapter 65

Query Plan Reuse

Chapter 66

Managing Transactions, Locking, and Blocking

Chapter 67

Data Compression

Chapter 68

Partitioning

Chapter 69

Resource Governor

It seems everyone wants a quick fix

On one optimization job, I identified and prioritized numerous issues with

the schema, queries, and indexes that together would have reduced the

aggregate workload by 60–80 percent I thought I’d done a great job The

client didn’t think so They actually said they were hoping that as an MVP

I’d know of an undocumented ‘‘go fast’’ switch

The switch is in the design!

But once the schema and queries are right and the workload is known, it’s

time to tune the indexes and optimize the server From reading query

execution plans, to query paths and indexing, to data compression, this part

is filled with some of my favorite SQL Server topics If you thought left

outer joins were fun, well, you’re in for a real treat

If SQL Server is the box, this part is about making the box scream

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