- 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
I'm continuing a tutorial overview on database objects with the next in the line of data representation objects: the View. I'll explain the processes used to create a View, and then explain the types of Views and the ways they're used.
Views are simply the result of a SELECT statement. They don't hold any data at all — they simply point to the data somewhere else. so why use them instead of just using the SELECT statements that make them up?
The answer lies in the fact that a user (or more accurately, the code that the user is executing in a program) can treat a View as if it is a Table. So you can create complex joins, limit results with the WHERE statement and so on to hide all that complexity, and simply point the user to the View instead. They also simplify security, which I'll explain in a moment.
The statements that make up a View are stored as text inside the database on a SQL Server. As I mentioned, they don't hold any data themselves, they simply run when the SELECT statement references them. That means the View is treated by code as a table.
I'll mention a couple of things here before I dive in to more details, since they come up right away. Although the View is treated as a table, it isn't. There are some limitations on how they are used, specifically with INSERT operations. Many new Transact-SQL (T-SQL) writers want to join multiple tables in a View, and then insert data through the View into all of those tables at once, hoping that the keys will just automatically work. That's not how they work — while you can insert data into a View, it can only touch one table underneath the View (called a "base table") at a time. You should really think about a View by how it is named — as a "View on data". That will keep you out of trouble.
Aside from hiding the join syntax from a developer or user, Views allow you to limit data. In fact, there are two vectors for these limitations. The first is in the columns you select in the View. If you have a table with ten columns and you only select three of them, you've vertically limited the amount of data you show to the user. A typical use of this vector is when you have a personnel table with more data than many folks are allowed to see. You might want to expose the names and phone numbers, for instance, but not the home address. By including only the name and phone field and not allowing the users to access the base tables (more on that in a moment) you have limited your data to just the right folks.
The second vector is in the join operation itself and the WHERE clause you use. For instance, joining the personnel table to the addresses table in that simple example and using a WHERE private = "FALSE" would be one way to limit the number of rows coming back to those where the column "private" has been marked "FALSE". In this way you have limited the data horizontally. Views, then, can simplify the join syntax, and can limit the data vertically and horizontally as well.
Views also simplify security. All SQL Server objects have security attributes, and the View is no exception. You can GRANT, REVOKE or DENY permissions to the View just as you do on tables (see my article about object security). If the same owner (normally the developer) creates both the View and the tables, the user only needs rights to the View — not the base tables. SQL Server looks "though" the View, in this case. This is how the security is simplified for your users.
Now I'll explain the processes you can use to create a View, and then I'll explain the types of Views and the ways that they are used.
Creating Views
When you're getting started, you can use various graphical tools to create a View. In SQL Server 2000 and older, the Enterprise Manager has a "wizard" that will guide you through the process. From the main menu bar, select "Tools" and then "Wizards...". Once you see the "Select Wizard" panel, expand the Database object, and then select the "Create View Wizard" object from the tree.
The wizard will walk you through selecting databases, tables and columns to include in the View. When you've done that, you can also specify a WHERE clause to restrict the View. While the Create View Wizard is simple, it isn't very powerful. The most difficult part of a creating a View isn't selecting the columns; it's restricting the rows and performing the joins. The wizard doesn't help you very much with that.
In SQL Server 2005 and higher you can open the database in the SQL Server Management Studio (SSMS) Object Browser, and then right-click the "View" object. From there you can select "Create View" from the menu that appears. You're given a list of tables to choose, and if your Primary and Foreign Keys are set up on the tables you choose the system will even take a guess at the joins that relate them. You can then check the columns you want in your View, and limit the View results with a set of criteria.
Personally, I think in the case of Views the graphical tools can get in the way. It's actually far simpler to just create a View using the T-SQL language. The basic syntax to create a View is as follows:
CREATE VIEW ViewName AS SELECT SomeColumn, SomeColumn FROM SomeTable WHERE SomeCondition
I'll talk about some of the restrictions on creating Views near the end of this article.
Once the View is created, it's a simple matter to change it. The command syntax for that process is:
ALTER VIEW ViewName AS SELECT SomeColumn, SomeColumn FROM SomeTable WHERE SomeCondition
Looks a bit like the CREATE VIEW statement, doesn't it? Why not just drop the View, like this…
DROP VIEW ViewName
(You won't be asked to confirm the drop, so make sure that's really what you want to do!)
and then recreate it? The reason you want to use the ALTER statement is that it will keep the security intact — if you drop the View and re-create it, it's a new object, and has the security you create it with.
In fact, the process I normally follow is to write my T-SQL statement such that I get the result of data I want. Once I have it set up, then I "re-factor" (rewrite) the query so that it returns the data in the most optimal way it can. After I tune the query, I simply put CREATE VIEW Viewname AS in front of the T-SQL Statement and the View is ready.
Using Views
Now that you know how Views are created, altered and destroyed, let's spend a few minutes talking about the way Views are used.
The first type of View contains data from a single table. This type of View is useful for vertically or horizontally partitioning the data.
Let's consider two scenarios. Assume that you have a table of data that contains more information than a certain group of people should have access to. For instance, a table might contain the names and departments of employees in a company and their salary grade. You want everyone to see the names of the employees but not their salary grade. To accomplish this goal, you set up a View that selects only the columns of data you want, and then grant permissions on that View to the proper group of people. This is a vertical partition of the data.
Here's an example of vertical partitioning, using the pubs sample database:
USE pubs; GO CREATE VIEW TestView AS SELECT au_fname, au_lname FROM authors GO
In the second situation, you might want to restrict that same table such that the users can only see the employee names of people in their own department. To accomplish this goal, the View would select rows of data where certain criteria are met. Again, you grant permission to the View to the appropriate group; the users access the data through this horizontally partitioned View.
Here's an example of horizontal partitioning:
CREATE VIEW TestView AS SELECT * FROM authors WHERE au_lname LIKE 'W&' GO
Of course, you might combine vertical and horizontal partitioning to limit both the columns and rows displayed:
CREATE VIEW TestView AS SELECT au_fname, au_lname FROM authors WHERE au_lname LIKE 'W&' GO
The second type of View spans multiple tables. Combining various tables in one select statement has the advantage of hiding the complexity of select joins and unions from the user.
The multiple-table join is quite common in programming shops where the database design is a modular step. In this situation, the database tables are designed from a performance or logical layout perspective, and Views are created to provide friendly names or abstract the tables from the development of an interface.
Here's an example of a multiple-table View:
CREATE VIEW TestView AS SELECT * FROM authors AS a INNER JOIN publishers AS p ON a.city = p.city
I'm not going to spend time here describing the selection or join syntax, but note that we're referencing two tables here. In future View creation, I'll include even more tables.
Not only can you create Views across multiple tables, but you can also create Views across multiple databases. If the databases are on the same server, and the user has a login to both databases, and the permissions are set properly, then you can access the data in two databases as easily as one.
Assuming two databases, one called pubs and the other called pubs2, here's an example of a multiple database View:
CREATE VIEW TestView AS SELECT * FROM pubs.dbo.authors AS a INNER JOIN pubs2.dbo.publishers AS p ON a.city = p.city
Notice that I've prefaced the table names this time with two items separated by periods. The first preface (pubs) is the database name, and the second (dbo) is the owner of the database. These are actually only two prefaces; there are three that you can use. The new preface is a server name, used in distributed queries, which I'll explain more about in another article.
Moving on from these View types, you can also include a View in another View. To do this, treat the referenced View just like any other table.
There are a few restrictions regarding creating Views.
You can only reference one base table on an insert, update or delete action. That means that if you're referencing more than one table in the View, you can only perform an update, insert or delete on one of them (at a time). Trying to perform these actions against more than one table at a time through a View is a classic "newbie" mistake. (Okay, I still forget and make that mistake from time to time!)
Also, you can't use the ORDER BY clause in your select statement when you create the View. You can use the ORDER BY statement when you select from the View, though. Remember, a View is just the result of a SELECT statement.
In a View, you can't use parameters to pass criteria for the View. If you want to do that, you really want a stored procedure. I'll explain those in an upcoming article.
Who knew that a simple subject like a View of data could be this involved! Actually, there's even more to know about Views. I'll show you more as we go along the design phase of our application.