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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

Troubleshooting is a basic skill for almost every technical professional to keep things stable and performing well. It’s a common activity of locating something that isn’t working, and correcting it. Of course, the difficulty lies within the steps to accomplish those things. I’ve covered basic troubleshooting for the Administration function for a Data Professional, and in this tutorial I’ll cover the basic steps for the Programming function. I’ll show you a simple process you can follow to locate and correct errors in your code.

There are a lot of errors you can get in Transact-SQL (T-SQL) code — from Syntax (which means the spelling, placement and use of programming terms) to logic (the way something works). In addition, you can have “misplacing” errors — like using a variable in the wrong place. In this case, things work, but don’t produce expected results.

Here are a few techniques you can use to prevent, track down and correct errors in your code.

Stop the errors before you get them

The best way to deal with errors is not to get them in the first place. Great, you think, but I’m already here. I’m reading this because I have errors.

Part of this exercise is not to get errors in the future. Sure, you’ll learn better syntax and how to avoid errors merely by correcting them, but you can actually gain a double advantage with a couple of techniques that help to correct an issue, and to keep them from happening in the future. Here’s how.

Read and understand

Whenever you run into an error in your code, make sure it’s an area you understand. The biggest mistakes I see are when someone copies code snippets from somewhere and pastes it into their own code. They don’t understand exactly why the snippet works, and consequently they can’t fix it when it breaks.

In fact, if you’re not sure what the code does in the snippet you’re copying, you could actually cause a major issue in your entire program. The snippet may be harmless and even useful, but it may not. They point is, you’re using it because you don’t know how to do it yourself, so you just don’t know.

That isn’t to say you shouldn’t experiment with sample code. By all means, do that. But do it to learn — not just blindly. the more you know about a code block, the easier it is to correct it.

If you didn’t just copy the code, you still need to understand what it does. Don’t use a system stored procedure, T-SQL Statement or other construct until you read up on it. Check Books Online first, then search the web to find what other people are saying about it. When you get that error, this tactic still works. Read up on each and every part of your statement, and odds are you’ll see the fix right there in the documentation or examples.

Code your comments

Whenever you design a new program, I recommend that you write down block comments:

/* This is a block comment */
/* This is a 
block comment */
-- This is not, and should be avoided at all costs.

The block comments should state what your program or script is going to do.

For the rest of this tutorial, I’ll create a simple database with three tables. The mistakes I’ll demonstrate will be trivial, but they’ll illustrate the processes to find and correct issues.

This simple database will have three tables. A VET table, an ANIMAL table, and a VISIT table. the VET and ANIMAL tables are “parents” — meaning that they don’t depend on each other at all. You can have a VET without an ANIMAL, or enter an ANIMAL without a VET. Here’s the code that does that — of course only run this on your testing system or Virtual Machine:

CREATE DATABASE Test;
GO
USE Test;
GO
CREATE TABLE VET
(
VETID int PRIMARY KEY 
,VetName varchar(50)
)
CREATE TABLE ANIMAL
(
ANIMALID int PRIMARY KEY
,AnimalName varchar(50)
)
CREATE TABLE VISIT
(
VISITID int PRIMARY KEY
,VisitDateTime datetime
,VisitDescription varchar(100)
,VETID int REFERENCES VET(VETID)
,ANIMALID int REFERENCES ANIMAL(ANIMALID)
)

Learning to use the INSERT statement isn’t really that difficult — using the first technique of reading the documentation to understand the format and syntax for the INSERT statement gives me this example of adding Buck and Christina as vets:

INSERT INTO [Test].[dbo].[VET]
([VETID],[VetName])
VALUES (1, 'Buck');
GO
INSERT INTO [Test].[dbo].[VET]
([VETID],[VetName])
VALUES (2, 'Christina');
GO
And I can just repeat that process to place a cat in the ANIMAL table:
INSERT INTO [Test].[dbo].[ANIMAL]
([ANIMALID],[AnimalName])
VALUES (1, 'Cathy');
GO

Now I want to create a new VISIT record, where I’ll connect a veterinarian to an animal, on a specific date. I’d like to do that using a stored procedure, making the process as simple as sending the vet’s name along with the animal, with the date of the visit and some specifics.

If you’re new to doing sub-selects in an INSERT statement, this can be difficult to grasp at first. And here’s where that process of “Coding the Comments” comes in really handy. Here are the comments for this code — and I’ll finish it in a moment as I explain the next problem-solving technique.

/* Make sure I’m in the right database */
/* Create the Stored Procedure */
/* Take in the Parameters to do the insert, along with their data types */
/* Start the INSERT statement */
/* For the VALUES, use the parameters */
/* Need to find the ID of the VET based on the VetName Parameter */
/* Need to find the ID of the ANIMAL based on the AnimalName Parameter */

With those steps “blocked out” in comments, you can now figure out the best way to implement each section. By getting the logic straight first, you avoid at least that type of error. Of course — that assumes that your logic is correct. So that’s a great way to program — but how does it help with troubleshooting code you already have written?

First, check the logic in the comments. If that is sound, then check the code in each block to ensure that the syntax is correct.

If the code doesn’t have any comments, even if it isn’t your code, put the comments in as you learn what each section does. In that way you’ll quickly zero in on which part of the code isn’t working.

Use the tools

An “IDE” is an Integrated Development Environment. It’s a program that helps you developer your code in one or more languages. It’s also designed to keep you away from making errors in the code, or at least it will assist you in tracking the errors down faster.

In SQL Server, you get an IDE built right in to the client tools. In SQL Server 2000 and earlier, this was the Query Editor (QE), and in SQL Server 2005 and higher this is SQL Server Management Studio (SSMS). Each version brings improvements, and by and large you can use a later version to work with earlier servers. For instance, you can use SSMS 2008 R2 against a SQL Server 2005 database.

It’s best to stop and take the “Tutorial” in the “Help” menu on the menu bar. Knowing the tools you have is essential in preventing and tracking down code errors.

These IDE’s help you avoid and track errors in multiple ways. All versions include a color-coding scheme for syntax and object names. That’s the first indication of an error — you look at the code and the SELECTT statement isn’t colored. Remove the extra “T” and it will color code.

If you run code and experience an error in the “Messages” panel, you’ll see the error code, description and line number in red. The error code is the first indication of the major issue, and will often provide a better clue than the error description that follows it. Sometimes the descriptions aren’t really that helpful, but other times they are. In any case, a quick web search on the error code will help you find out where the error might be. Let me remind you — don’t just web search an error code and implement the first fix you find. Situations vary, not only yours but the person submitting the result on your web search. Just use those searches to help point you in the right direction.

You can double-click the red error message to take you to the line where the engine ran into the issue — but understand this might not always be the line where the problem is. Sometimes an error is “masked” by moving through the various layers of the code, so double-clicking the error message might take you a little ahead or perhaps a little behind the actual error, but at least it will get you close. And sometimes it’s right-on the number.

In SSMS 2008 and later, Microsoft added “Intellisense” for the code. While it isn’t perfect, this feature will fill out object names for you, show you the parameters required for a stored procedure and more. Don’t ignore anything on the screen — it’s all there to help you.

Yet another tool built into the IDE, at least in SSMS 2008 and higher, is the Transact-SQL Debugger. I’ve covered that tool in another article, and I’ll mention the process for debugging further in a moment.

You’re not limited in your IDE selections to the tools included with SQL Server. You’ll find other IDE’s that understand T-SQL in Visual Studio, Eclipse, and companies like RedGate and Quest. You can read up on the troubleshooting features these tools have at their respective sites.

Build the code from known to unknown

Whenever you’re faced with a complex task, break it down into a more simple form first. For instance, in the sample code above, I took the INSERT statement that is pretty simple to understand:

INSERT INTO SomeTable
column
, column
, column
VALUES
(‘Value’
, ‘Value’
, ‘Value’)

And then just made my comments say:

/* Replace values with variables */

Before I even go there, I make sure that my INSERT statement works first. In the example of the VET to ANIMAL entry for the VISIT table, before I even build the stored procedure, I make sure that a “manual” INSERT works first:

/* I know Buck has an ID of 1, and 
Cathy has an ID of 1. So this should work: */

INSERT INTO [Test].[dbo].[VISIT]
           ([VISITID]
           ,[VisitDateTime]
           ,[VisitDescription]
           ,[VETID]
           ,[ANIMALID])
     VALUES
           (1
           ,'01/01/2010'
           ,'Checkup.'
           ,1
           ,1)

GOI keep it as simple as possible. When I’m exploring a new feature (or at least new to me) in SQL Server, I try the simplest possible process first (Hello World) and then work from there. I add complexity, working from what I know to what I don’t know.

Next, I try another thing I know, getting the ID from the VET table with using the name:

SELECT VETID 
FROM VET
WHERE VetName = 'Buck'
------
1

And the same thing for the ANIMAL table — I get the ID from there using the Animal Name:

SELECT ANIMALID 
FROM ANIMAL
WHERE AnimalName = 'Cathy'
------
1
Because I commented first, I can now put it all together:
/* Make sure I’m in the right database */
USE Test;
GO
/* Create the Stored Procedure */
CREATE Procedure usp_VetVisitToAnimal
/* Take in the Parameters to do the insert, along with their data types */
@VISITID int
, @VisitDateTime datetime
, @VisitDescription varchar(100)
, @VetName varchar(50)
, @AnimalName varchar(50)
/* Start the INSERT statement */
AS
INSERT INTO [Test].[dbo].[VISIT]
           ([VISITID]
           ,[VisitDateTime]
           ,[VisitDescription]
           ,[VETID]
           ,[ANIMALID])
/* For the VALUES, use the parameters */
     VALUES
           (@VISITID
           ,@VisitDateTime
           ,@VisitDescription
/* Need to find the ID of the VET based on the VetName Parameter */
           ,(SELECT VETID 
			 FROM VET
			 WHERE VetName = @VetName)

/* Need to find the ID of the ANIMAL based on the AnimalName Parameter */
           ,(SELECT ANIMALID 
			 FROM ANIMAL
			 WHERE AnimalName = @AnimalName)
           )
GO
/* Now Try it: */
EXEC usp_VetVisitToAnimal
2
, '1/10/2010'
, 'Teeth Cleaning'
, 'Christina'
, 'Cathy';
GO

Step through the code

But what if this is already done? Again, I’m not writing code, it’s already written and I’m just trying to find the errors. Simply reverse the process. I work from what I don’t know to what I do know. For instance, in the previous code sample, assume for a moment that the VETID in the VISIT table was accidentally created as a datetime data type instead of an int like it should have been. If I grab out those sub-select statements, I’ll see right away where the problem is.

This is also a great place to talk about the T-SQL debugger in SSMS 2008 and higher. I’ve got an article on that here for you to read, but in essence it allows you to “step into” code one line or block at a time. And it will jump over to stored procedures called from stored procedures, which will also help you track down where the errors are in multiple lines of code.

Use Incremental Changes

It would be nice if there were always just one error. But in many cases it’s a matter of more than just one, it’s several. So as you tear the code into simple parts, fix one thing at a time. Ensure that the piece your fixing works in isolation, then put it back into the larger code base. Then move on to the next error, if there is one.

The temptation is to fix everything you can find in one go. You might be completely convinced that those two errors can be fixed at once — but unless it’s something as trivial as a misspelling, you’re better off just taking things slowly. Especially if you’re in a hurry.

Verify the corrections

Don’t try and troubleshoot on production systems, unless you’ve already verified that the problems don’t exist in a test system. your testing system should have as much of the same structure as possible as production, so you can work on testing, verify the fix, and then move on from there. In fact, I have sometimes created a second database on the test server to have a “clean” place to try things.

Whenever possible, I try to have a complete “clean” build script. That means I have a script that creates the database, objects, does the inserts, and so on, from beginning to end. On large systems this isn’t always possible, but I try to have a scientifically clean database to start with. It will make the errors jump out when you do. When you can’t do that, you’ll need to ensure you know where the differences between the production and testing databases are.

After you correct the problem, it’s not a bad idea to write down what you learned and how you solved the problem. You’ll find that your notes from the past are very useful when you have that same problem again later. Odds are it won’t happen again for a while – and you’ll be glad to have that process documentation to refresh your memory in a crisis situation.

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Last Update: November 17, 2020