Home > Query, SQL > BISQL # 26: Audit Trail Part : II- Implementation of Auto Auditing with Pros and Cons

BISQL # 26: Audit Trail Part : II- Implementation of Auto Auditing with Pros and Cons

 

Hi Friends,

This Article for implementing auto auditing will Covers Following points:

  • Need of Audit trailing
  • Implementation of Audit trailing
  • Code Specification
  • Pros of Audit trailing System
  • Cons Of Audit trailing system
  • Reference Used For Article

Need of Audit trailing:

When we are performing any modification on the database and we need to track all the changes in the for Database at every level we will implement Audit trailing
As per capitation requirement Auditing is most important aspect to track change details and easy to maintenance

Implementation of Audit trailing

1.Database Table Implementation

· Only one table which is going to track every change in configurable Audit table

Audit table specification

Explanation of fields
  • AuditID: Unique Audit Identification number
  • Type:I,U,D(I-Insert,U-Update,D-Delete)
  • TableName:On which table changes is occurred
  • PK: Primary Key for Audit Table
  • FieldName:On which filed Changes is occurred
  • OldValue: Old value of given field
  • NewValue: New value of given field
  • UpdateDate:When Change Occurred
  • UserName: DB User Name for Change

2. Database Stored Proc Implementation

We have Following Stored Proc Which will implement auditing for required Table

Stored Proc Name: CreateAudit
Parameters to Stored Proc and its use
1.@TableName: Name of the table to be auditing is required

2.@AuditType: We have 3 Types of auditing (Insert, Update, and Delete) i.e. value (I, U & D)

Code Specification

Code Snippet:

One can have all the Script here :http://sqlblog.com/blogs/paul_nielsen/archive/2007/01/15/codegen-to-create-fixed-audit-trail-triggers.aspx , http://autoaudit.codeplex.com/

Pros of this System

  • Easy for maintenance
  • Easy to implement and reuse
  • User can Set Audit for Specific table
  • Do Not consider auditing Staging table

Cons of this system

  • One Simple Daily batch Job For Archival of history of audit table only
  • Table Growth is Unstoppable during bulk insertion
  • May affect performance of System as we are using triggers for each insert ,update and delete

Reference Used For Development

1. Shadow table Auditing : http://www.c-sharpcorner.com/uploadfile/etechmentor/607/

2. prototype pattern Auditing : http://www.dotnetfunda.com/articles/article336-implementing-audit-trail-using-trigger.aspx

3. Output Clause : http://www.sqlhub.com/2011/07/audit-trail-with-output-clause-in-sql.html

4. By MSDN : http://technet.microsoft.com/en-us/library/dd392015(SQL.100).aspx

5. @ DBA level Auditing: http://www.sqlservercentral.com/articles/Auditing/63247/

6. Auto Audit : http://sqlblog.com/blogs/paul_nielsen/archive/2007/01/15/codegen-to-create-fixed-audit-trail-triggers.aspx , http://autoaudit.codeplex.com/,

 

For more interesting information on SQL we can also look into similar topics such as

· BISQL # 27 : Audit Trail Part : III-Implementation of Audit Trailing with CDC

· BISQL # 28: Audit Trail Part : IV–Comparing Entity Framework and SQL CDC

· BISQL # 29 : Analysis and Documentation Query

· BISQL # 30 : How Should I Find Information about Data Type

· BISQL # 31 : How To Create Folder from SSMS

 

Hope you will like this post on Audit Trail Part II.

If you really like reading my blog and understood at least few thing then please don’t forget to subscribe my blog.

If you want daily link and analysis or interesting link go to following website which will give @ your inbox please subscribe our following link resource blog: Link Resource Website

           For More information related to BI World visit my Mentalist Blog

                        Link Resource Blog >> Daily Interesting links

                        SQL Server Mentalist >> SQL Learning Blog

                        Business Intelligence Mentalist >> BI World

                                      Connect With me on

           | FaceBook |Twitter | LinkedIn| Google+ | WordPress | RSS |

                                   Copyright © 2011 – 2012 Vishal Pawar

Categories: Query, SQL

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

Follow

Get every new post delivered to your Inbox.

Join 1,120 other followers

%d bloggers like this: