- SQL Server Reference Guide
- Introduction
- SQL Server Reference Guide Overview
- Table of Contents
- Microsoft SQL Server Defined
- SQL Server Editions
- SQL Server Access
- Informit Articles and Sample Chapters
- Online Resources
- Microsoft SQL Server Features
- SQL Server Books Online
- Clustering Services
- Data Transformation Services (DTS) Overview
- Replication Services
- Database Mirroring
- Natural Language Processing (NLP)
- Analysis Services
- Microsot SQL Server Reporting Services
- XML Overview
- Notification Services for the DBA
- Full-Text Search
- SQL Server 2005 - Service Broker
- Using SQL Server as a Web Service
- SQL Server Encryption Options Overview
- SQL Server 2008 Overview
- SQL Server 2008 R2 Overview
- SQL Azure
- The Utility Control Point and Data Application Component, Part 1
- The Utility Control Point and Data Application Component, Part 2
- Microsoft SQL Server Administration
- The DBA Survival Guide: The 10 Minute SQL Server Overview
- Preparing (or Tuning) a Windows System for SQL Server, Part 1
- Preparing (or Tuning) a Windows System for SQL Server, Part 2
- Installing SQL Server
- Upgrading SQL Server
- SQL Server 2000 Management Tools
- SQL Server 2005 Management Tools
- SQL Server 2008 Management Tools
- SQL Azure Tools
- Automating Tasks with SQL Server Agent
- Run Operating System Commands in SQL Agent using PowerShell
- Automating Tasks Without SQL Server Agent
- Storage – SQL Server I/O
- Service Packs, Hotfixes and Cumulative Upgrades
- Tracking SQL Server Information with Error and Event Logs
- Change Management
- SQL Server Metadata, Part One
- SQL Server Meta-Data, Part Two
- Monitoring - SQL Server 2005 Dynamic Views and Functions
- Monitoring - Performance Monitor
- Unattended Performance Monitoring for SQL Server
- Monitoring - User-Defined Performance Counters
- Monitoring: SQL Server Activity Monitor
- SQL Server Instances
- DBCC Commands
- SQL Server and Mail
- Database Maintenance Checklist
- The Maintenance Wizard: SQL Server 2000 and Earlier
- The Maintenance Wizard: SQL Server 2005 (SP2) and Later
- The Web Assistant Wizard
- Creating Web Pages from SQL Server
- SQL Server Security
- Securing the SQL Server Platform, Part 1
- Securing the SQL Server Platform, Part 2
- SQL Server Security: Users and other Principals
- SQL Server Security – Roles
- SQL Server Security: Objects (Securables)
- Security: Using the Command Line
- SQL Server Security - Encrypting Connections
- SQL Server Security: Encrypting Data
- SQL Server Security Audit
- High Availability - SQL Server Clustering
- SQL Server Configuration, Part 1
- SQL Server Configuration, Part 2
- Database Configuration Options
- 32- vs 64-bit Computing for SQL Server
- SQL Server and Memory
- Performance Tuning: Introduction to Indexes
- Statistical Indexes
- Backup and Recovery
- Backup and Recovery Examples, Part One
- Backup and Recovery Examples, Part Two: Transferring Databases to Another System (Even Without Backups)
- SQL Profiler - Reverse Engineering An Application
- SQL Trace
- SQL Server Alerts
- Files and Filegroups
- Partitioning
- Full-Text Indexes
- Read-Only Data
- SQL Server Locks
- Monitoring Locking and Deadlocking
- Controlling Locks in SQL Server
- SQL Server Policy-Based Management, Part One
- SQL Server Policy-Based Management, Part Two
- SQL Server Policy-Based Management, Part Three
- Microsoft SQL Server Programming
- An Outline for Development
- Database
- Database Services
- Database Objects: Databases
- Database Objects: Tables
- Database Objects: Table Relationships
- Database Objects: Keys
- Database Objects: Constraints
- Database Objects: Data Types
- Database Objects: Views
- Database Objects: Stored Procedures
- Database Objects: Indexes
- Database Objects: User Defined Functions
- Database Objects: Triggers
- Database Design: Requirements, Entities, and Attributes
- Business Process Model Notation (BPMN) and the Data Professional
- Business Questions for Database Design, Part One
- Business Questions for Database Design, Part Two
- Database Design: Finalizing Requirements and Defining Relationships
- Database Design: Creating an Entity Relationship Diagram
- Database Design: The Logical ERD
- Database Design: Adjusting The Model
- Database Design: Normalizing the Model
- Creating The Physical Model
- Database Design: Changing Attributes to Columns
- Database Design: Creating The Physical Database
- Database Design Example: Curriculum Vitae
- NULLs
- The SQL Server Sample Databases
- The SQL Server Sample Databases: pubs
- The SQL Server Sample Databases: NorthWind
- The SQL Server Sample Databases: AdventureWorks
- The SQL Server Sample Databases: Adventureworks Derivatives
- UniversalDB: The Demo and Testing Database, Part 1
- UniversalDB: The Demo and Testing Database, Part 2
- UniversalDB: The Demo and Testing Database, Part 3
- UniversalDB: The Demo and Testing Database, Part 4
- Getting Started with Transact-SQL
- Transact-SQL: Data Definition Language (DDL) Basics
- Transact-SQL: Limiting Results
- Transact-SQL: More Operators
- Transact-SQL: Ordering and Aggregating Data
- Transact-SQL: Subqueries
- Transact-SQL: Joins
- Transact-SQL: Complex Joins - Building a View with Multiple JOINs
- Transact-SQL: Inserts, Updates, and Deletes
- An Introduction to the CLR in SQL Server 2005
- Design Elements Part 1: Programming Flow Overview, Code Format and Commenting your Code
- Design Elements Part 2: Controlling SQL's Scope
- Design Elements Part 3: Error Handling
- Design Elements Part 4: Variables
- Design Elements Part 5: Where Does The Code Live?
- Design Elements Part 6: Math Operators and Functions
- Design Elements Part 7: Statistical Functions
- Design Elements Part 8: Summarization Statistical Algorithms
- Design Elements Part 9:Representing Data with Statistical Algorithms
- Design Elements Part 10: Interpreting the Data—Regression
- Design Elements Part 11: String Manipulation
- Design Elements Part 12: Loops
- Design Elements Part 13: Recursion
- Design Elements Part 14: Arrays
- Design Elements Part 15: Event-Driven Programming Vs. Scheduled Processes
- Design Elements Part 16: Event-Driven Programming
- Design Elements Part 17: Program Flow
- Forming Queries Part 1: Design
- Forming Queries Part 2: Query Basics
- Forming Queries Part 3: Query Optimization
- Forming Queries Part 4: SET Options
- Forming Queries Part 5: Table Optimization Hints
- Using SQL Server Templates
- Transact-SQL Unit Testing
- Index Tuning Wizard
- Unicode and SQL Server
- SQL Server Development Tools
- The SQL Server Transact-SQL Debugger
- The Transact-SQL Debugger, Part 2
- Basic Troubleshooting for Transact-SQL Code
- An Introduction to Spatial Data in SQL Server 2008
- Performance Tuning
- Performance Tuning SQL Server: Tools and Processes
- Performance Tuning SQL Server: Tools Overview
- Creating a Performance Tuning Audit - Defining Components
- Creating a Performance Tuning Audit - Evaluation Part One
- Creating a Performance Tuning Audit - Evaluation Part Two
- Creating a Performance Tuning Audit - Interpretation
- Creating a Performance Tuning Audit - Developing an Action Plan
- Understanding SQL Server Query Plans
- Performance Tuning: Implementing Indexes
- Performance Monitoring Tools: Windows 2008 (and Higher) Server Utilities, Part 1
- Performance Monitoring Tools: Windows 2008 (and Higher) Server Utilities, Part 2
- Performance Monitoring Tools: Windows System Monitor
- Performance Monitoring Tools: Logging with System Monitor
- Performance Monitoring Tools: User Defined Counters
- General Transact-SQL (T-SQL) Performance Tuning, Part 1
- General Transact-SQL (T-SQL) Performance Tuning, Part 2
- General Transact-SQL (T-SQL) Performance Tuning, Part 3
- Performance Monitoring Tools: An Introduction to SQL Profiler
- Performance Tuning: Introduction to Indexes
- Performance Monitoring Tools: SQL Server 2000 Index Tuning Wizard
- Performance Monitoring Tools: SQL Server 2005 Database Tuning Advisor
- Performance Monitoring Tools: SQL Server Management Studio Reports
- Performance Monitoring Tools: SQL Server 2008 Activity Monitor
- The SQL Server 2008 Management Data Warehouse and Data Collector
- Performance Monitoring Tools: Evaluating Wait States with PowerShell and Excel
- Practical Applications
- Choosing the Back End
- The DBA's Toolbox, Part 1
- The DBA's Toolbox, Part 2
- Scripting Solutions for SQL Server
- Building a SQL Server Lab
- Using Graphics Files with SQL Server
- Enterprise Resource Planning
- Customer Relationship Management (CRM)
- Building a Reporting Data Server
- Building a Database Documenter, Part 1
- Building a Database Documenter, Part 2
- Data Management Objects
- Data Management Objects: The Server Object
- Data Management Objects: Server Object Methods
- Data Management Objects: Collections and the Database Object
- Data Management Objects: Database Information
- Data Management Objects: Database Control
- Data Management Objects: Database Maintenance
- Data Management Objects: Logging the Process
- Data Management Objects: Running SQL Statements
- Data Management Objects: Multiple Row Returns
- Data Management Objects: Other Database Objects
- Data Management Objects: Security
- Data Management Objects: Scripting
- Powershell and SQL Server - Overview
- PowerShell and SQL Server - Objects and Providers
- Powershell and SQL Server - A Script Framework
- Powershell and SQL Server - Logging the Process
- Powershell and SQL Server - Reading a Control File
- Powershell and SQL Server - SQL Server Access
- Powershell and SQL Server - Web Pages from a SQL Query
- Powershell and SQL Server - Scrubbing the Event Logs
- SQL Server 2008 PowerShell Provider
- SQL Server I/O: Importing and Exporting Data
- SQL Server I/O: XML in Database Terms
- SQL Server I/O: Creating XML Output
- SQL Server I/O: Reading XML Documents
- SQL Server I/O: Using XML Control Mechanisms
- SQL Server I/O: Creating Hierarchies
- SQL Server I/O: Using HTTP with SQL Server XML
- SQL Server I/O: Using HTTP with SQL Server XML Templates
- SQL Server I/O: Remote Queries
- SQL Server I/O: Working with Text Files
- Using Microsoft SQL Server on Handheld Devices
- Front-Ends 101: Microsoft Access
- Comparing Two SQL Server Databases
- English Query - Part 1
- English Query - Part 2
- English Query - Part 3
- English Query - Part 4
- English Query - Part 5
- RSS Feeds from SQL Server
- Using SQL Server Agent to Monitor Backups
- Reporting Services - Creating a Maintenance Report
- SQL Server Chargeback Strategies, Part 1
- SQL Server Chargeback Strategies, Part 2
- SQL Server Replication Example
- Creating a Master Agent and Alert Server
- The SQL Server Central Management System: Definition
- The SQL Server Central Management System: Base Tables
- The SQL Server Central Management System: Execution of Server Information (Part 1)
- The SQL Server Central Management System: Execution of Server Information (Part 2)
- The SQL Server Central Management System: Collecting Performance Metrics
- The SQL Server Central Management System: Centralizing Agent Jobs, Events and Scripts
- The SQL Server Central Management System: Reporting the Data and Project Summary
- Time Tracking for SQL Server Operations
- Migrating Departmental Data Stores to SQL Server
- Migrating Departmental Data Stores to SQL Server: Model the System
- Migrating Departmental Data Stores to SQL Server: Model the System, Continued
- Migrating Departmental Data Stores to SQL Server: Decide on the Destination
- Migrating Departmental Data Stores to SQL Server: Design the ETL
- Migrating Departmental Data Stores to SQL Server: Design the ETL, Continued
- Migrating Departmental Data Stores to SQL Server: Attach the Front End, Test, and Monitor
- Tracking SQL Server Timed Events, Part 1
- Tracking SQL Server Timed Events, Part 2
- Patterns and Practices for the Data Professional
- Managing Vendor Databases
- Consolidation Options
- Connecting to a SQL Azure Database from Microsoft Access
- SharePoint 2007 and SQL Server, Part One
- SharePoint 2007 and SQL Server, Part Two
- SharePoint 2007 and SQL Server, Part Three
- Querying Multiple Data Sources from a Single Location (Distributed Queries)
- Importing and Exporting Data for SQL Azure
- Working on Distributed Teams
- Professional Development
- Becoming a DBA
- Certification
- DBA Levels
- Becoming a Data Professional
- SQL Server Professional Development Plan, Part 1
- SQL Server Professional Development Plan, Part 2
- SQL Server Professional Development Plan, Part 3
- Evaluating Technical Options
- System Sizing
- Creating a Disaster Recovery Plan
- Anatomy of a Disaster (Response Plan)
- Database Troubleshooting
- Conducting an Effective Code Review
- Developing an Exit Strategy
- Data Retention Strategy
- Keeping Your DBA/Developer Job in Troubled Times
- The SQL Server Runbook
- Creating and Maintaining a SQL Server Configuration History, Part 1
- Creating and Maintaining a SQL Server Configuration History, Part 2
- Creating an Application Profile, Part 1
- Creating an Application Profile, Part 2
- How to Attend a Technical Conference
- Tips for Maximizing Your IT Budget This Year
- The Importance of Blue-Sky Planning
- Application Architecture Assessments
- Transact-SQL Code Reviews, Part One
- Transact-SQL Code Reviews, Part Two
- Cloud Computing (Distributed Computing) Paradigms
- NoSQL for the SQL Server Professional, Part One
- NoSQL for the SQL Server Professional, Part Two
- Object-Role Modeling (ORM) for the Database Professional
- Business Intelligence
- BI Explained
- Developing a Data Dictionary
- BI Security
- Gathering BI Requirements
- Source System Extracts and Transforms
- ETL Mechanisms
- Business Intelligence Landscapes
- Business Intelligence Layouts and the Build or Buy Decision
- A Single Version of the Truth
- The Operational Data Store (ODS)
- Data Marts – Combining and Transforming Data
- Designing Data Elements
- The Enterprise Data Warehouse — Aggregations and the Star Schema
- On-Line Analytical Processing (OLAP)
- Data Mining
- Key Performance Indicators
- BI Presentation - Client Tools
- BI Presentation - Portals
- Implementing ETL - Introduction to SQL Server 2005 Integration Services
- Building a Business Intelligence Solution, Part 1
- Building a Business Intelligence Solution, Part 2
- Building a Business Intelligence Solution, Part 3
- Tips and Troubleshooting
- SQL Server and Microsoft Excel Integration
- Tips for the SQL Server Tools: SQL Server 2000
- Tips for the SQL Server Tools – SQL Server 2005
- Transaction Log Troubles
- SQL Server Connection Problems
- Orphaned Database Users
- Additional Resources
- Tools and Downloads
- Utilities (Free)
- Tool Review (Free): DBDesignerFork
- Aqua Data Studio
- Microsoft SQL Server Best Practices Analyzer
- Utilities (Cost)
- Quest Software's TOAD for SQL Server
- Quest Software's Spotlight on SQL Server
- SQL Server on Microsoft's Virtual PC
- Red Gate SQL Bundle
- Microsoft's Visio for Database Folks
- Quest Capacity Manager
- SQL Server Help
- Visual Studio Team Edition for Database Professionals
- Microsoft Assessment and Planning Solution Accelerator
- Aggregating Server Data from the MAPS Tool
SQL Server is a large, complex product. It didn’t start out that way, having only a relational database engine (more on that in a moment) and a set of graphical management tools — which in itself differentiated it from other databases such as Oracle and IBM’s systems. At the time, those were managed primarily using text. Having a graphical interface made SQL Server easier to use for a lot of people.
This guide has a lot of information on all of the other features SQL Server has added over time, such as Reporting Services and Analysis Services. But before you dive into those sections, you need to understand just what a Relation Database Management System (RDBMS) is and why it is different than storing data any other way, such as in a word-processing or just plain text (ASCII) document. This section of the guide will help you do that, along with how you can access that data. At this bottom of this overview I’ll show you the other articles contained in this section of the guide.
We also provide an easy way to find out when any part of the guide is updated. If you're using an RSS reader, you can subscribe to these notifications here. We also have a blog you can subscribe to for even more up-to-date information.
The sections in this Guide are designed to allow quick access to what you need. The tutorials and overviews can be read in just a few minutes, and many contain useful scripts and hands-on guides to examples you can follow.
Relational Database Management Systems
Before we dive into the other articles in this section, let’s cover some of the basics about what SQL Server does and how you can use it.
As I mentioned earlier, the heart of Microsoft SQL Server is a Relational Database Management System. An RDBMS stores and retrieves data for multiple sources. But then, so does word processing and spreadsheet software and regular old text files. What differentiates an RDBMS is the way it stores and retrieves data. Data in an RDBMS is stored in sets — think algebra sets here, with circles and numbers, circles overlapping where the numbers match. A relational database is like that. The sets of data contained in the database are related to each other.
To oversimplify a bit, think of two spreadsheets, one with names and addresses, and another with the names of a few companies, like this:
Names
Name | Address | Phone Number |
Bob | 123 Here Street | 123-1234 |
Jane | 231 Under Street | 231-0987 |
Sparky | 432 Simon Lane | 321-9877 |
Companies
Name | Phone Number | Address |
Big Co | 123-7657 | 123 There Street |
Small Co | 234-4567 | 231 Over Street |
If you want to store the name of a particular person and where he or she works, you need to relate the two spreadsheets together somehow. To do this, you could repeat the data of the company information for each person; but a better approach might be to include another column in each of the spreadsheets that contains a number. In the Companies spreadsheet, this column might be called Company Number. You could create another column in the Names spreadsheet with that same number, like this:
Names
Name | Address | Phone Number | Company Number |
Bob | 123 Here Street | 123-1234 | 1 |
Jane | 231 Under Street | 231-0987 | 1 |
Sparky | 432 Simon Lane | 321-9877 | 2 |
Companies
Name | Phone Number | Address | Company Number |
Big Co | 123-7657 | 123 There Street | 1 |
Small Co | 234-4567 | 231 Over Street | 2 |
By visually "tying" these numbers between the spreadsheets, you could look for a list of the names of the people in the Names table and the company name from the Companies table where the numbers in the Company Number columns match. (Read that again slowly if you need to!) That would produce this new list:
Merged List
Name | Company Name |
Bob | Big Co |
Jane | Big Co |
Sparky | Small Co |
By combining the things in common between these two groups of data (the Company Number), you’re using something you learned in school called “set theory” — and that's how a relational database system works. SQL Server manages this kind of data, and that makes it a relational database management system.
SQL Server manages this kind of data by storing it in two or more types of files. The first of these files is called the database and it stores the actual data. The second file is called the log, and is used to write the data to the database. Why would an RDBMS do that? Why not just write the data to the database in these tables and be done with it?
The reason is that using a log file process produces both data integrity and speed. Users write data to the log in a sequential fashion, so that each entry can be tracked, and more importantly, backed out if necessary. The log file maintains all the transactions that the users have entered. When the server gets a free moment, it writes this data to the database. Users then query this "read-only" copy of the data from the database. Any changes, deletions, or additions to the data are made first to the log.
By separating the log file from the database file, you can place the database on one drive and the log on another — allowing the querying to happen on one set of spindles and the entries to happen on another, making both processes faster.
The other advantage to a log file is that if the server crashes, the data since the last entry is still in the log. When SQL Server starts up again, it can look at the entries that didn't make it to the database when it crashed. If the entries create a complete set of data called a transaction, the data is "rolled forward" — entered into the database. If the data was incomplete, the bits of data are not sent to the database — a process called "rolling back" the database.
So what constitutes a transaction? Well, there are implicit transactions, meaning that they just should be kept together, like the letters in a word. Suppose you saw the following line written on a page:
Contemp
You wouldn't be sure if the word was supposed to be contemporary, contemplation, contemporaneous, or something else. The word (transaction) isn't complete. You don't really need to understand which word I meant; a simple spell-checker tells you that these letters aren't even a complete English word. This is similar to what SQL Server can do — it implicitly knows that if data isn't a well-formed complete binary unit, then it isn't supposed to write that data to the database. It would make the database inconsistent, and you wouldn't be able to access the database anymore.
You can also define explicit transactions, meaning that you tell the system “I’m starting something” and then “I’m done now.” An incomplete transaction in this mode is more analogous to a sentence than a word, like this:
First, connect the green wire to the
These words are all spelled correctly; they just don't make sense to us. They do make sense to a computer, though, since they're all correctly formed. Computers, unlike us, can't be confused by this kind of sentence since computers don't understand context. You have to tell the computer that you want certain things kept together. You do that by telling SQL Server to group certain items together—that they all go, or none of them do. That's an explicit transaction SQL Server includes in its instruction set (called Transact-SQL, or T-SQL for short)—consisting of the commands BEGIN TRANSACTION and END TRANSACTION. SQL Server knows to keep these bookends together. Consider the following code:
BEGIN TRANSACTION <Insert some data> <Insert some more data> <Insert even more data> END TRANSACTION
When SQL Server sees code like this, it will keep all items grouped together. If line 3 doesn't make it, the whole thing is aborted. It's sort of an all-or-nothing approach.
Why would you want this behavior? Let's take a real-world example. If you use an ATM machine to transfer $100 from your savings account to your checking account, you expect that if the money comes out of savings, it goes into checking. Otherwise, you don't want it to go anywhere at all. The bank, on the other hand, wants to make sure that the money comes out of savings if it goes into checking! You both want to make sure that both things happen (money comes out, money goes in) or neither of them happens (both accounts stay just as they are).
Now that you know how the files work, you should also know that these files affect the way backups are made. I describe these backups in the section of this Guide called "Backup and Recovery." For now, be aware that you can back up all or part of the database, and you can also back up the log separately. I'll show you more of this log file architecture there.
So what is SQL Server? It's a high-end data server. It allows you to enter, edit, delete, and retrieve lots of data very quickly. Many people can use it at once, and it performs nicely, even under load. In the rest of the tutorials, I'll explain the features SQL Server provides in addition to the database engine.
In this section
To help you navigate this section of the Guide, let's take a look at a few of the sections you'll find here.
Microsoft, like most database vendors, creates various copies of its software that has different capabilities. The vendors do this to charge different rates, and to serve different customers. Microsoft calls these “editions” (not to be confused with “versions”, which is based on when it is released) and they range from a small, free offering called MSDE in SQL Server 2000 and SQL Server Express in SQL Server 2005 and higher, all the way up to editions capable of running on large-scale systems. This section of the guide explains what those editions are and how they differ from each other.
A database is a great thing, but all it does is store data. To let users get data in and out of it, you’ll need to provide some sort of access for them. This section covers the general ways you can do that.
InformIT Articles and Sample Chapters
There are other resources here at InformIT that can help you with SQL Server. Most notably are the other articles and tutorials you’ll find, and a wealth of online books in Safari.
Online Resources
The two best sites for general SQL Server information are here and here.
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