Skip to content

shannonlowder.com

Menu
  • About
  • Biml Interrogator Demo
  • Latest Posts
Menu

SQL 101 – DELETE

Posted on March 15, 2006March 14, 2016 by slowder

It looks like I’m getting close to the end of my 101 series.  After I show you how to remove data from tables, the last topic I plan to cover is creating tables.  It’s been quite a journey, collecting all this knowledge and putting it out there for you.  I had hoped to get some feedback by this point to know if I’m heading in the right direction on these articles.  For now, I’ll get these two articles out, then try and figure out what topics remain to be covered.

Now back to our regularly scheduled post.

DELETE

When you work in SQL, you’ll eventually come across data you want to get rid of.   I’m going to side-step the topic of version control, and backups for now.  When you get to that day, you’ll need to learn how to use the DELETE command.

DELETE FROM tableName WHERE column = 'value'

Basically you call DELETE FROM then enter the table you want to delete from.  The WHERE clause here is as important as it was for the UPDATE statement.  If you don’t include the WHERE clause, you’ll end up deleting every row in your table, and you don’t want to do that, do you?

This brings me back to a set up steps nearly identical to those I shared in the UPDATE arcticle.

  1. SELECT the delete.  Before running an delete,  run a SELECT statement with your where clause to make sure you’re only getting the records you expect.
  2. BEGIN a transaction.
  3. Run the DELETE statement
  4. SELECT the changes, verify you only deleted the records you think you did.
  5. COMMIT the transaction.

These six steps will make it far less likely to DELETE something you don’t mean to.  There is nothing to prevent you from deleting or updating something you don’t mean to.  SQL isn’t like that.  There is no prevention, only insurance.  Transactions are one form of insurance, having a bulletproof backup and recovery system is the other.

The DELETE command is very simple.  You can get fancy with it, and I’ll show you that later.  For now, get comfortable with this command.  Practice with it on a test server (or your local machine), and soon you’ll be ready for more!

If you have any questions, please send them in!  I can only teach you what you want to know if you tell me what that is.  I look forward to your comments!

Previous: TRANSACTION

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recent Posts

  • A New File Interrogator
  • Using Generative AI in Data Engineering
  • Getting started with Microsoft Fabric
  • Docker-based Spark
  • Network Infrastructure Updates

Recent Comments

  1. slowder on Data Engineering for Databricks
  2. Alex Ott on Data Engineering for Databricks

Archives

  • July 2023
  • June 2023
  • March 2023
  • February 2023
  • January 2023
  • December 2022
  • November 2022
  • October 2022
  • October 2018
  • August 2018
  • May 2018
  • February 2018
  • January 2018
  • November 2017
  • October 2017
  • September 2017
  • August 2017
  • June 2017
  • March 2017
  • February 2014
  • January 2014
  • December 2013
  • November 2013
  • October 2013
  • August 2013
  • July 2013
  • June 2013
  • February 2013
  • January 2013
  • August 2012
  • June 2012
  • May 2012
  • April 2012
  • March 2012
  • February 2012
  • January 2012
  • December 2011
  • November 2011
  • October 2011
  • September 2011
  • August 2011
  • July 2011
  • June 2011
  • May 2011
  • April 2011
  • March 2011
  • February 2011
  • January 2011
  • December 2010
  • November 2010
  • October 2010
  • September 2010
  • August 2010
  • July 2010
  • June 2010
  • May 2010
  • April 2010
  • March 2010
  • January 2010
  • December 2009
  • November 2009
  • October 2009
  • September 2009
  • August 2009
  • July 2009
  • June 2009
  • May 2009
  • April 2009
  • March 2009
  • February 2009
  • January 2009
  • December 2008
  • November 2008
  • October 2008
  • September 2008
  • August 2008
  • July 2008
  • June 2008
  • May 2008
  • April 2008
  • March 2008
  • February 2008
  • January 2008
  • November 2007
  • October 2007
  • September 2007
  • August 2007
  • July 2007
  • June 2007
  • May 2007
  • April 2007
  • March 2007
  • February 2007
  • January 2007
  • December 2006
  • November 2006
  • October 2006
  • September 2006
  • August 2006
  • July 2006
  • June 2006
  • May 2006
  • April 2006
  • March 2006
  • February 2006
  • January 2006
  • December 2005
  • November 2005
  • October 2005
  • September 2005
  • August 2005
  • July 2005
  • June 2005
  • May 2005
  • April 2005
  • March 2005
  • February 2005
  • January 2005
  • November 2004
  • September 2004
  • August 2004
  • July 2004
  • April 2004
  • March 2004
  • June 2002

Categories

  • Career Development
  • Data Engineering
  • Data Science
  • Infrastructure
  • Microsoft SQL
  • Modern Data Estate
  • Personal
  • Random Technology
  • uncategorized
© 2025 shannonlowder.com | Powered by Minimalist Blog WordPress Theme