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📄 Contents

  1. SQL Server Reference Guide
  2. Introduction
  3. SQL Server Reference Guide Overview
  4. Table of Contents
  5. Microsoft SQL Server Defined
  6. SQL Server Editions
  7. SQL Server Access
  8. Informit Articles and Sample Chapters
  9. Online Resources
  10. Microsoft SQL Server Features
  11. SQL Server Books Online
  12. Clustering Services
  13. Data Transformation Services (DTS) Overview
  14. Replication Services
  15. Database Mirroring
  16. Natural Language Processing (NLP)
  17. Analysis Services
  18. Microsot SQL Server Reporting Services
  19. XML Overview
  20. Notification Services for the DBA
  21. Full-Text Search
  22. SQL Server 2005 - Service Broker
  23. Using SQL Server as a Web Service
  24. SQL Server Encryption Options Overview
  25. SQL Server 2008 Overview
  26. SQL Server 2008 R2 Overview
  27. SQL Azure
  28. The Utility Control Point and Data Application Component, Part 1
  29. The Utility Control Point and Data Application Component, Part 2
  30. Microsoft SQL Server Administration
  31. The DBA Survival Guide: The 10 Minute SQL Server Overview
  32. Preparing (or Tuning) a Windows System for SQL Server, Part 1
  33. Preparing (or Tuning) a Windows System for SQL Server, Part 2
  34. Installing SQL Server
  35. Upgrading SQL Server
  36. SQL Server 2000 Management Tools
  37. SQL Server 2005 Management Tools
  38. SQL Server 2008 Management Tools
  39. SQL Azure Tools
  40. Automating Tasks with SQL Server Agent
  41. Run Operating System Commands in SQL Agent using PowerShell
  42. Automating Tasks Without SQL Server Agent
  43. Storage – SQL Server I/O
  44. Service Packs, Hotfixes and Cumulative Upgrades
  45. Tracking SQL Server Information with Error and Event Logs
  46. Change Management
  47. SQL Server Metadata, Part One
  48. SQL Server Meta-Data, Part Two
  49. Monitoring - SQL Server 2005 Dynamic Views and Functions
  50. Monitoring - Performance Monitor
  51. Unattended Performance Monitoring for SQL Server
  52. Monitoring - User-Defined Performance Counters
  53. Monitoring: SQL Server Activity Monitor
  54. SQL Server Instances
  55. DBCC Commands
  56. SQL Server and Mail
  57. Database Maintenance Checklist
  58. The Maintenance Wizard: SQL Server 2000 and Earlier
  59. The Maintenance Wizard: SQL Server 2005 (SP2) and Later
  60. The Web Assistant Wizard
  61. Creating Web Pages from SQL Server
  62. SQL Server Security
  63. Securing the SQL Server Platform, Part 1
  64. Securing the SQL Server Platform, Part 2
  65. SQL Server Security: Users and other Principals
  66. SQL Server Security – Roles
  67. SQL Server Security: Objects (Securables)
  68. Security: Using the Command Line
  69. SQL Server Security - Encrypting Connections
  70. SQL Server Security: Encrypting Data
  71. SQL Server Security Audit
  72. High Availability - SQL Server Clustering
  73. SQL Server Configuration, Part 1
  74. SQL Server Configuration, Part 2
  75. Database Configuration Options
  76. 32- vs 64-bit Computing for SQL Server
  77. SQL Server and Memory
  78. Performance Tuning: Introduction to Indexes
  79. Statistical Indexes
  80. Backup and Recovery
  81. Backup and Recovery Examples, Part One
  82. Backup and Recovery Examples, Part Two: Transferring Databases to Another System (Even Without Backups)
  83. SQL Profiler - Reverse Engineering An Application
  84. SQL Trace
  85. SQL Server Alerts
  86. Files and Filegroups
  87. Partitioning
  88. Full-Text Indexes
  89. Read-Only Data
  90. SQL Server Locks
  91. Monitoring Locking and Deadlocking
  92. Controlling Locks in SQL Server
  93. SQL Server Policy-Based Management, Part One
  94. SQL Server Policy-Based Management, Part Two
  95. SQL Server Policy-Based Management, Part Three
  96. Microsoft SQL Server Programming
  97. An Outline for Development
  98. Database
  99. Database Services
  100. Database Objects: Databases
  101. Database Objects: Tables
  102. Database Objects: Table Relationships
  103. Database Objects: Keys
  104. Database Objects: Constraints
  105. Database Objects: Data Types
  106. Database Objects: Views
  107. Database Objects: Stored Procedures
  108. Database Objects: Indexes
  109. Database Objects: User Defined Functions
  110. Database Objects: Triggers
  111. Database Design: Requirements, Entities, and Attributes
  112. Business Process Model Notation (BPMN) and the Data Professional
  113. Business Questions for Database Design, Part One
  114. Business Questions for Database Design, Part Two
  115. Database Design: Finalizing Requirements and Defining Relationships
  116. Database Design: Creating an Entity Relationship Diagram
  117. Database Design: The Logical ERD
  118. Database Design: Adjusting The Model
  119. Database Design: Normalizing the Model
  120. Creating The Physical Model
  121. Database Design: Changing Attributes to Columns
  122. Database Design: Creating The Physical Database
  123. Database Design Example: Curriculum Vitae
  124. NULLs
  125. The SQL Server Sample Databases
  126. The SQL Server Sample Databases: pubs
  127. The SQL Server Sample Databases: NorthWind
  128. The SQL Server Sample Databases: AdventureWorks
  129. The SQL Server Sample Databases: Adventureworks Derivatives
  130. UniversalDB: The Demo and Testing Database, Part 1
  131. UniversalDB: The Demo and Testing Database, Part 2
  132. UniversalDB: The Demo and Testing Database, Part 3
  133. UniversalDB: The Demo and Testing Database, Part 4
  134. Getting Started with Transact-SQL
  135. Transact-SQL: Data Definition Language (DDL) Basics
  136. Transact-SQL: Limiting Results
  137. Transact-SQL: More Operators
  138. Transact-SQL: Ordering and Aggregating Data
  139. Transact-SQL: Subqueries
  140. Transact-SQL: Joins
  141. Transact-SQL: Complex Joins - Building a View with Multiple JOINs
  142. Transact-SQL: Inserts, Updates, and Deletes
  143. An Introduction to the CLR in SQL Server 2005
  144. Design Elements Part 1: Programming Flow Overview, Code Format and Commenting your Code
  145. Design Elements Part 2: Controlling SQL's Scope
  146. Design Elements Part 3: Error Handling
  147. Design Elements Part 4: Variables
  148. Design Elements Part 5: Where Does The Code Live?
  149. Design Elements Part 6: Math Operators and Functions
  150. Design Elements Part 7: Statistical Functions
  151. Design Elements Part 8: Summarization Statistical Algorithms
  152. Design Elements Part 9:Representing Data with Statistical Algorithms
  153. Design Elements Part 10: Interpreting the Data—Regression
  154. Design Elements Part 11: String Manipulation
  155. Design Elements Part 12: Loops
  156. Design Elements Part 13: Recursion
  157. Design Elements Part 14: Arrays
  158. Design Elements Part 15: Event-Driven Programming Vs. Scheduled Processes
  159. Design Elements Part 16: Event-Driven Programming
  160. Design Elements Part 17: Program Flow
  161. Forming Queries Part 1: Design
  162. Forming Queries Part 2: Query Basics
  163. Forming Queries Part 3: Query Optimization
  164. Forming Queries Part 4: SET Options
  165. Forming Queries Part 5: Table Optimization Hints
  166. Using SQL Server Templates
  167. Transact-SQL Unit Testing
  168. Index Tuning Wizard
  169. Unicode and SQL Server
  170. SQL Server Development Tools
  171. The SQL Server Transact-SQL Debugger
  172. The Transact-SQL Debugger, Part 2
  173. Basic Troubleshooting for Transact-SQL Code
  174. An Introduction to Spatial Data in SQL Server 2008
  175. Performance Tuning
  176. Performance Tuning SQL Server: Tools and Processes
  177. Performance Tuning SQL Server: Tools Overview
  178. Creating a Performance Tuning Audit - Defining Components
  179. Creating a Performance Tuning Audit - Evaluation Part One
  180. Creating a Performance Tuning Audit - Evaluation Part Two
  181. Creating a Performance Tuning Audit - Interpretation
  182. Creating a Performance Tuning Audit - Developing an Action Plan
  183. Understanding SQL Server Query Plans
  184. Performance Tuning: Implementing Indexes
  185. Performance Monitoring Tools: Windows 2008 (and Higher) Server Utilities, Part 1
  186. Performance Monitoring Tools: Windows 2008 (and Higher) Server Utilities, Part 2
  187. Performance Monitoring Tools: Windows System Monitor
  188. Performance Monitoring Tools: Logging with System Monitor
  189. Performance Monitoring Tools: User Defined Counters
  190. General Transact-SQL (T-SQL) Performance Tuning, Part 1
  191. General Transact-SQL (T-SQL) Performance Tuning, Part 2
  192. General Transact-SQL (T-SQL) Performance Tuning, Part 3
  193. Performance Monitoring Tools: An Introduction to SQL Profiler
  194. Performance Tuning: Introduction to Indexes
  195. Performance Monitoring Tools: SQL Server 2000 Index Tuning Wizard
  196. Performance Monitoring Tools: SQL Server 2005 Database Tuning Advisor
  197. Performance Monitoring Tools: SQL Server Management Studio Reports
  198. Performance Monitoring Tools: SQL Server 2008 Activity Monitor
  199. The SQL Server 2008 Management Data Warehouse and Data Collector
  200. Performance Monitoring Tools: Evaluating Wait States with PowerShell and Excel
  201. Practical Applications
  202. Choosing the Back End
  203. The DBA's Toolbox, Part 1
  204. The DBA's Toolbox, Part 2
  205. Scripting Solutions for SQL Server
  206. Building a SQL Server Lab
  207. Using Graphics Files with SQL Server
  208. Enterprise Resource Planning
  209. Customer Relationship Management (CRM)
  210. Building a Reporting Data Server
  211. Building a Database Documenter, Part 1
  212. Building a Database Documenter, Part 2
  213. Data Management Objects
  214. Data Management Objects: The Server Object
  215. Data Management Objects: Server Object Methods
  216. Data Management Objects: Collections and the Database Object
  217. Data Management Objects: Database Information
  218. Data Management Objects: Database Control
  219. Data Management Objects: Database Maintenance
  220. Data Management Objects: Logging the Process
  221. Data Management Objects: Running SQL Statements
  222. Data Management Objects: Multiple Row Returns
  223. Data Management Objects: Other Database Objects
  224. Data Management Objects: Security
  225. Data Management Objects: Scripting
  226. Powershell and SQL Server - Overview
  227. PowerShell and SQL Server - Objects and Providers
  228. Powershell and SQL Server - A Script Framework
  229. Powershell and SQL Server - Logging the Process
  230. Powershell and SQL Server - Reading a Control File
  231. Powershell and SQL Server - SQL Server Access
  232. Powershell and SQL Server - Web Pages from a SQL Query
  233. Powershell and SQL Server - Scrubbing the Event Logs
  234. SQL Server 2008 PowerShell Provider
  235. SQL Server I/O: Importing and Exporting Data
  236. SQL Server I/O: XML in Database Terms
  237. SQL Server I/O: Creating XML Output
  238. SQL Server I/O: Reading XML Documents
  239. SQL Server I/O: Using XML Control Mechanisms
  240. SQL Server I/O: Creating Hierarchies
  241. SQL Server I/O: Using HTTP with SQL Server XML
  242. SQL Server I/O: Using HTTP with SQL Server XML Templates
  243. SQL Server I/O: Remote Queries
  244. SQL Server I/O: Working with Text Files
  245. Using Microsoft SQL Server on Handheld Devices
  246. Front-Ends 101: Microsoft Access
  247. Comparing Two SQL Server Databases
  248. English Query - Part 1
  249. English Query - Part 2
  250. English Query - Part 3
  251. English Query - Part 4
  252. English Query - Part 5
  253. RSS Feeds from SQL Server
  254. Using SQL Server Agent to Monitor Backups
  255. Reporting Services - Creating a Maintenance Report
  256. SQL Server Chargeback Strategies, Part 1
  257. SQL Server Chargeback Strategies, Part 2
  258. SQL Server Replication Example
  259. Creating a Master Agent and Alert Server
  260. The SQL Server Central Management System: Definition
  261. The SQL Server Central Management System: Base Tables
  262. The SQL Server Central Management System: Execution of Server Information (Part 1)
  263. The SQL Server Central Management System: Execution of Server Information (Part 2)
  264. The SQL Server Central Management System: Collecting Performance Metrics
  265. The SQL Server Central Management System: Centralizing Agent Jobs, Events and Scripts
  266. The SQL Server Central Management System: Reporting the Data and Project Summary
  267. Time Tracking for SQL Server Operations
  268. Migrating Departmental Data Stores to SQL Server
  269. Migrating Departmental Data Stores to SQL Server: Model the System
  270. Migrating Departmental Data Stores to SQL Server: Model the System, Continued
  271. Migrating Departmental Data Stores to SQL Server: Decide on the Destination
  272. Migrating Departmental Data Stores to SQL Server: Design the ETL
  273. Migrating Departmental Data Stores to SQL Server: Design the ETL, Continued
  274. Migrating Departmental Data Stores to SQL Server: Attach the Front End, Test, and Monitor
  275. Tracking SQL Server Timed Events, Part 1
  276. Tracking SQL Server Timed Events, Part 2
  277. Patterns and Practices for the Data Professional
  278. Managing Vendor Databases
  279. Consolidation Options
  280. Connecting to a SQL Azure Database from Microsoft Access
  281. SharePoint 2007 and SQL Server, Part One
  282. SharePoint 2007 and SQL Server, Part Two
  283. SharePoint 2007 and SQL Server, Part Three
  284. Querying Multiple Data Sources from a Single Location (Distributed Queries)
  285. Importing and Exporting Data for SQL Azure
  286. Working on Distributed Teams
  287. Professional Development
  288. Becoming a DBA
  289. Certification
  290. DBA Levels
  291. Becoming a Data Professional
  292. SQL Server Professional Development Plan, Part 1
  293. SQL Server Professional Development Plan, Part 2
  294. SQL Server Professional Development Plan, Part 3
  295. Evaluating Technical Options
  296. System Sizing
  297. Creating a Disaster Recovery Plan
  298. Anatomy of a Disaster (Response Plan)
  299. Database Troubleshooting
  300. Conducting an Effective Code Review
  301. Developing an Exit Strategy
  302. Data Retention Strategy
  303. Keeping Your DBA/Developer Job in Troubled Times
  304. The SQL Server Runbook
  305. Creating and Maintaining a SQL Server Configuration History, Part 1
  306. Creating and Maintaining a SQL Server Configuration History, Part 2
  307. Creating an Application Profile, Part 1
  308. Creating an Application Profile, Part 2
  309. How to Attend a Technical Conference
  310. Tips for Maximizing Your IT Budget This Year
  311. The Importance of Blue-Sky Planning
  312. Application Architecture Assessments
  313. Transact-SQL Code Reviews, Part One
  314. Transact-SQL Code Reviews, Part Two
  315. Cloud Computing (Distributed Computing) Paradigms
  316. NoSQL for the SQL Server Professional, Part One
  317. NoSQL for the SQL Server Professional, Part Two
  318. Object-Role Modeling (ORM) for the Database Professional
  319. Business Intelligence
  320. BI Explained
  321. Developing a Data Dictionary
  322. BI Security
  323. Gathering BI Requirements
  324. Source System Extracts and Transforms
  325. ETL Mechanisms
  326. Business Intelligence Landscapes
  327. Business Intelligence Layouts and the Build or Buy Decision
  328. A Single Version of the Truth
  329. The Operational Data Store (ODS)
  330. Data Marts – Combining and Transforming Data
  331. Designing Data Elements
  332. The Enterprise Data Warehouse — Aggregations and the Star Schema
  333. On-Line Analytical Processing (OLAP)
  334. Data Mining
  335. Key Performance Indicators
  336. BI Presentation - Client Tools
  337. BI Presentation - Portals
  338. Implementing ETL - Introduction to SQL Server 2005 Integration Services
  339. Building a Business Intelligence Solution, Part 1
  340. Building a Business Intelligence Solution, Part 2
  341. Building a Business Intelligence Solution, Part 3
  342. Tips and Troubleshooting
  343. SQL Server and Microsoft Excel Integration
  344. Tips for the SQL Server Tools: SQL Server 2000
  345. Tips for the SQL Server Tools – SQL Server 2005
  346. Transaction Log Troubles
  347. SQL Server Connection Problems
  348. Orphaned Database Users
  349. Additional Resources
  350. Tools and Downloads
  351. Utilities (Free)
  352. Tool Review (Free): DBDesignerFork
  353. Aqua Data Studio
  354. Microsoft SQL Server Best Practices Analyzer
  355. Utilities (Cost)
  356. Quest Software's TOAD for SQL Server
  357. Quest Software's Spotlight on SQL Server
  358. SQL Server on Microsoft's Virtual PC
  359. Red Gate SQL Bundle
  360. Microsoft's Visio for Database Folks
  361. Quest Capacity Manager
  362. SQL Server Help
  363. Visual Studio Team Edition for Database Professionals
  364. Microsoft Assessment and Planning Solution Accelerator
  365. Aggregating Server Data from the MAPS Tool

We're all busy. With all a data professional has to do it seems that the first thing to suffer is learning and testing features on products, or learning new products. But I agree with Abraham Lincoln, who said "If I had six hours to chop down a tree, I'd spend the first four sharpening my ax." What he meant by that is the more you prepare, the better the end product. While that sounds obvious, deadlines and time pressures often get in the way, and we just seem to put things into production before they are fully tested. But many times this lack of practice and familiarity comes back to bite us.

Perhaps you do take time to prepare, and you thoroughly test things before they go into production. If so, good for you. But if you take the time to fully test and prepare things, you may not have enough time (or a place) to "play" with new technologies.

In both cases, you need a lab. And in this tutorial I'll explain what I've done in the past to create an environment that I can use to evaluate software, and even hardware. You might wonder how this subject could command an entire article. I mean, can't you just toss some older equipment in the corner and use that to test and play? You can, and in the smaller shops where I've worked in the past, that's exactly what I've done. But I've come to believe that even in very small shops it's almost as important to have a formal testing and evaluation system as it is to have a well-designed production environment.

Before we start, I want to make sure I differentiate a lab system from a testing system.

The testing function is perhaps the most important components in a development environment. In many development shops, the most common arrangement of servers is a development system, a testing system, a staging system, and a production system. Once again I'm using the term "system" here to mean that there may be more than one server, or perhaps a group of servers and even other kinds of hardware that are used to develop, test and distribute software.

The developers normally own the development system, and in some cases they are even administrators on the servers. This server is where the developers have test databases, code, and services that they control and change. Hopefully there is a central system for code check-in and check-out, along with strict version control. If the developers are depending on the development environment to provide that level of control, they will probably have a bad day at some point when it becomes corrupt. I'm beginning to see a new trend for development systems. In some shops each developer gets either a physical system or a virtual machine (VM). There's a central system where the images or backups are stored, and the machines are built from that after each major change.

The testing environment is a system where the developers ship the code they've written that is intended for release from the development system. The code is tested by users, by a "test harness" software suite, or perhaps a little of both. Sometimes they test for performance, sometimes for features, and sometimes they test for both.

Some shops include a staging system where the tested code lives before it goes into production. I've seen many shops use this server to test service packs for the operating system and so on.

The production system is normally the final link in the chain, and if it is the system that holds the master for the product, then it's off-limits to developers and testers (or at least it should be). There's often a process that runs to synchronize the changes between production, test and development, so that the developers have a clean environment for the next software build.

A lab system is often a place used by a smaller number of people, sometimes even just you. One of the main functions of a lab system is to try out new things. While your boss will probably disagree, this is a vital part of your job. As technology advances, you should be aware of those advances, because they might make your job faster, and they might save the company money. To convince your boss that this is true, you'll have to show how the new technology does or does not add value. For this environment, performance isn't often a prime consideration. You're often just evaluating functionality, not how quickly something will run.

But the main reason for a lab, perhaps even more important than testing new things, is testing in another sense. Whenever a new patch comes out for a system that you are responsible for, you had better check the patch before you install it on a production server, no matter what a vendor tells you. You should not only test the service to make sure the base function of the server still works, but you'll need to check the functionality of every application you support. If you don't, you'll quickly get yourself into trouble.

At one of the companies I worked at, we had several hundred SQL Servers. We also had in excess of 1,500 in-house developed applications. Whenever the developers wrote the code for those systems, they would sometimes encounter an issue with the operating system, database connection method, virus scan engine or another component that they would "code around." When a patch came out for the affected component, even if it solved a pressing issue I had, I couldn't just implement it on production. I had to test each and every application to ensure that the in-house code still worked. It took a long time to do that, and involved a lot of planning, but it was worth it. Almost every time the developers had to issue a patch of their own to correspond to the patch from the operating system. If I had implemented the vendor's patch without testing, I might have brought down production, and possibly lost data for the company. That's unprofessional, since the company entrusted me to ensure that didn't happen.

It also had an interesting side effect. Because I had a lab where the patches were tested, the developers had a chance to evaluate it themselves. They needed that, because for them, the development system was production — without it, they couldn't do their job. So they appreciated another environment to test in.

With all this in mind, how should you design a lab system?

The first thing you need to decide is the lab's purpose. If the lab needs to test the base platform, such as operating system and database server, then you'll have fewer requirements than if you need to check the applications. In this case you'll need to develop a simple "test harness" that checks functionality for the patch. I've done this in shops where various departments have their own applications, and a team of people that are responsible for them. My job is to verify that the base operating system and SQL Server still function.

In this case I set up a series of tests using scripts that add and remove users from the operating system, add then run SQL Server commands using osql that connect to the server, add the Windows users to a database, run some queries, back up the database, and then drop the users and the backup. I do all this with logging and checks along the way, looping the tests a few thousand times. Whenever a patch comes out, I log on to the lab system from a client and perform these tests, check the logs and report to the various teams on the results. This takes less than a couple of hours, and has saved my bacon more than once.

In the case where our group controlled the applications as well, things get a little more complicated. In essence I'm performing the same kinds of tests as in the base system, but because the applications are involved I have to perform more of them. If you have the same requirements, then you need to use one of the three methods I mentioned earlier. The least impact on the developers is to install the patch on the lab systems, and then have a set of users key in a number of actual application processes. While this is easier on the developers, it's terribly disruptive on the business and takes far too long. Not only that, if the application is complicated it's really not a very good test — the users simply can't test enough functionality in a reasonable period of time.

The better approach is to write a series of code or stored procedures that mimics the activity for the users. These automated scripts or programs should use a known set of variables for inputs so that the outputs can be checked. That way the entire testing process can be automated. Ideally, you would write these "test harnesses" when you write the original code. If you're like me, you've inherited the applications, so it isn't an easy sell to write the harnesses after the fact, but believe me, it's worth it. And even automated testing can't catch everything. You may still need a few "keystroke tests" to make sure everything continues to work.

So that's how you'll use the lab. The next part of the discussion is the nuts and bolts of setting one up. I'll show you how to use either physical hardware or an emulated environment.

Before I do that, however, you'll need software. You're going to need an operating system (whether it's a physical server or a virtual one), all the drivers (for physical systems) and then SQL Server software. You want to stay legal – to put this to bed, there is no “free” full-up version of SQL Server other than Express. So other than installing your production copies illegally or purchasing production licenses for test machines, what options do you have?

You could use “Evaluation” software. This is software you download for Microsoft products that expires with a month or two – sometimes as long as half a year away. It's actually designed specifically for the purpose of test-driving a product before you buy it, so it's usually the newest version of the product, which might not be what you want. Also, you have to periodically re-download, register and install the product again, which takes extra steps that you might not be interested in doing. On the plus-side, you can install everything you need for a lab this way, and the install process itself is something that is also good to practice from time to time. In fact, this is how I learned to do “scripted installations” or as Microsoft refers to them, unattended installations. You can download evaluation editions of the Operating Systems and SQL Server on the product pages at http://microsoft.com.

A far better choice is to purchase an MSDN (Microsoft Developer Network) subscription. This subscription allows you to legally download and install production-code software for use in a testing or evaluation environment. The advantages here are the amazing amounts of choices you have for the software, for a smaller price than buying each package commercially. At the time of this writing and depending on the package, you get things like 5 licenses per each product – not to be used in production, but for you to use on your testing machines. Not only that, you get access to samples, learning resources, support and more. It's really the way to go if you are developing applications on Microsoft platforms. I do know folks that pay for their own subscriptions each year, writing those off on taxes as a business expense. Often companies and organizations will purchase an MSDN subscription for their developers. Re-using a single subscription for multiple developers is illegal – you need to get one for each developer. That being said, your local Microsoft office will work all kinds of deals to get that in place. I really can't over-emphasize how useful the subscription has been for me, not just for the downloads, but for all of the community, samples and training around it. You can find out more here: http://msdn.com.

General Considerations for Your Lab System

You have two major choices for the systems you can use for a lab: Physical and Virtual. I'll come to both of those in a moment. But the general idea for the system is that you want to get it configured to a certain state, “freeze” or stop using it, and then “clone” or copy the contents of the system. You can then run whatever tests you like – even including corrupting the whole thing, without worry, since you can return it to a known state. When the next version or patch or edition of the software comes out, you can repeat the process to “re-freeze” the system to the next desired known state. In fact, I keep several images around, and then swap them in and out of my lab environment based on what I want to do.

The general process is:

  • Set up the hardware (Virtual or Physical)
  • Install and configure the operating system
  • Install and configure all drivers
  • Install and configure utilities (backups, maintenance, firewalls, viri scan, etc)
  • Optional: Install and configure SQL Server – you may delay this if you are planning to re-install manually or have different versions/editions etc. that you want to install
  • Freeze and clone hardware image.

Another consideration, whether the machine is physical or virtual, is that you'll need to start the test system periodically and allow it to pull down the latest updates for the operating system, viri scan, firewall and drivers, and then re-freeze and image the system again so that it can be re-used.

Let's Get Physical

Your first choice is to set up a physical system. If you want to test for performance and have the results be relevant to what you'll see in production, you'll have to mirror the production environment all the way down to the user input patterns. I've heard the arguments that you don't really have to do that, I've tested under those arguments, and found that the patterns matter a lot. I've tried to mimic the patterns; the testing still doesn't show what will really happen in production. It just doesn't work; there are simply too many variables to replicate. This is normally what the “Test” environment is for, not the lab system I'm explaining here.

So should you ever just use hardware? Sure — if you already have the hardware, it meets at least the minimum requirements and it isn't needed for anything else, then use it. The performance number differences you get before the change and after may in fact be representative — just don't depend on it. Again, this isn't your full “testing” platform, just testing for yourself, so in some cases even an old laptop will do. I've built systems and then taken the monitor, keyboard and mouse away and just used Remote Desktop software to communicate with it after the initial operating system installation.

The key is being able to "reset" the system. What I mean is that after a change you need to be able to put the system back to the state it was in when you started.

There are "snapshot" solutions that will take an image of your system and save it as a file so that you can re-apply it later. There are commercial and open-source versions of these tools, and a quick search gives this list: http://en.wikipedia.org/wiki/Comparison_of_disk_cloning_software

You could also just use the Windows operating system's built-in backup utilities to take a full backup, but the “bare metal” restore is more involved, which makes re-creating the system a longer process. Longer and more difficult processes means you're apt not to use them.

Living In a (non) Material World

A better solution for this problem is to use Virtual Machines. I've spoken at length about those in other articles, but using an emulated hardware environment has many advantages.

With a virtual machine you have less hardware, since you can run multiple images on the same system. You also save power, since you're only running on one actual device. You have the ability to reset the system multiple times in a very short time span, and you can even distribute the images to run multiple tests at once. And you can keep multiple images around, since they are just files.

You can also run one on almost any operating system, from Microsoft to Apple to Linux. That means you can use an Apple laptop to run an emulated Windows system to install SQL Server on.

But by far one of the greatest advantages of a VM environment is the reset capability. All of the offerings I'll describe have the ability to “shut down”, and then copy the file created to a new location. You can run the first copy, trash the system if you like, and then simply copy over the original configuration in a very short period of time. Start that back up, and you're right where you started. Even easier, many of these systems have the ability to take a “snapshot” of a running system at a known state, even while the system is running. You can then continue working, and when you're done you can revert to the snapshot at any point.

There are many contenders for running a “Hypervisor”, or a software-emulated computer. I've written an article here on using Virtual PC from Microsoft, a free offering that runs on everything from Windows XP and later. Hyper-V is another solution from Microsoft, which runs on Windows Server operating systems from 2008 and later. You can read more about that here. VMWare has several offerings that run on Windows XP and higher, which you can read more about here. Another popular choice (as of this writing) is Xen, an open-source package – read more about it here, and also VirtualBox, which you can learn more about here. Some of these run on the Windows operating system only, others run on multiple operating systems. Check the links for more information.

In all these cases, there are various drivers, configurations and settings that you should consider for SQL Server. In most cases, these involve performance tuning, so unless you're considering testing performance on a Virtual Machine, you don't have to follow many of these – but they certainly can't hurt. Not only that, many production systems are moving to Virtual Machines, so learning how to tune SQL Server on one is a good idea.

The primary considerations for running SQL Server (or any database system for that matter) on a Virtual Machine are the CPU and the Hard Disk access. For the CPU, you should ensure that your physical CPU on the hardware (often called the “host”) has extensions for running VM software. The Hypervisor you use and the hardware you have make a difference, so check your documentation for those.

The hard drive access (called I/O) is the place where you'll see the most performance loss, unless you take special steps to ensure it performs well. I'll cover performance tuning in a Hypervisor environment in another series of articles.

My choice is to use VM's for just about everything, and most of all in a testing environment. It's ease of snapshot capabilities along with the ability to keep so many images around (even on a DVD in some cases) makes it a compelling choice.

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Pearson Education, Inc., 221 River Street, Hoboken, New Jersey 07030, (Pearson) presents this site to provide information about products and services that can be purchased through this site.

This privacy notice provides an overview of our commitment to privacy and describes how we collect, protect, use and share personal information collected through this site. Please note that other Pearson websites and online products and services have their own separate privacy policies.

Collection and Use of Information


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Other Collection and Use of Information


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Supplemental Privacy Statement for California Residents


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Sharing and Disclosure


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Changes to this Privacy Notice


We may revise this Privacy Notice through an updated posting. We will identify the effective date of the revision in the posting. Often, updates are made to provide greater clarity or to comply with changes in regulatory requirements. If the updates involve material changes to the collection, protection, use or disclosure of Personal Information, Pearson will provide notice of the change through a conspicuous notice on this site or other appropriate way. Continued use of the site after the effective date of a posted revision evidences acceptance. Please contact us if you have questions or concerns about the Privacy Notice or any objection to any revisions.

Last Update: November 17, 2020