Skip to content

shannonlowder.com

Menu
  • About
  • Biml Interrogator Demo
  • Latest Posts
Menu

Tag: SQL202

Partitioning

Posted on August 18, 2010April 12, 2011 by slowder

Partitioning was a feature added with Microsoft SQL 2005 to allow users to split up large tables across multiple storage locations.  Partitioning can be applied to tables, indexes and indexed views.  By partitioning the data across multiple locations you can speed up query times, reduce contention between queries, and improve overall performance under certain conditions….

Continue reading

Partition Schemes

Posted on August 13, 2010January 26, 2012 by slowder

In my last article I started covering partitioning.  I’m going to pick that up and continue with how to create your database to use multiple filegroups.  Without multiple filegroups, you aren’t going to see how partitioning can really improve your database’s performance.  Let’s set up the database that’s going to house our table of items…

Continue reading

INDEX ON partition_scheme_name, filegroup_name, and default

Posted on June 1, 2009February 9, 2011 by slowder

Consider the CREATE INDEX statement below: CREATE INDEX ix_tableName_columnName ON tableName (columnName) ON { partitionSchemeName (columnName) | fileGroupName | default } What’s it all about? Let’s take these one at a time, and dig in a little bit. partitionSchemeName (columnName) Before you can use this option, you have to have your partition scheme defined. Check…

Continue reading

SET IDENTITY_INSERT

Posted on April 20, 2009April 19, 2011 by slowder

Let’s say you have the following table on two servers, one in development and one in production. CREATE TABLE person ( personID INT IDENTITY(1,1) , firstName VARCHAR(50) , lastName VARCHAR(50) ) You’re about to implement a new query, but you need to test it out in development before you move it to production.  The problem…

Continue reading

Disabling Constraints

Posted on April 13, 2009February 9, 2011 by slowder

Constraints are great for maintaining the integrity of the data in your database. I’m not a big fan of running your database without them. It just opens up the door for too many problems. But there are a few times where you’re going to need to be able to disable them. Let’s say you’re loading…

Continue reading

SQL 202 – FILLFACTOR and Indexes

Posted on April 6, 2009February 9, 2011 by slowder

FILLFACTOR specifies the percentage for how full the Database Engine should make the leaf level of each index page during index creation or rebuild. FILLFACTOR must be an integer value from 1 to 100. The default is 0. If FILLFACTOR is 100 or 0 (MS SQL treats these the same), the Database Engine creates indexes…

Continue reading

NULL Values, Blank Values, and Table Design

Posted on June 1, 2007February 9, 2011 by slowder

Have you dealt with NULL yet? A field is referred to as NULL if it has not received a value. To specify the NULL-ability of a column using T-SQL, just add NULL after the datatype for the column. To specify that values are required, add NOT NULL. If you don’t specify NULL or NOT NULL,…

Continue reading

Comparing Query Performance

Posted on January 15, 2006February 9, 2011 by slowder

A significant portion of your time as a database programmer or administrator will be to improve the performance of queries. While there are several benchmarks you can compare two or more queries, the actual comparision of the two queries can lean you do make false assumptions. When you run a query, data and execution plans…

Continue reading

A Better sp_who2

Posted on December 30, 2005May 10, 2011 by slowder

If you’ve ever needed to work with sp_who2 to figure out what’s going on, then you know it would be nice to be able to sort the results, right? Well, if you use the following code, then you’ll get exactly that functionality.  Enjoy!   CREATE TABLE #who2 ( spid INT , [status] SYSNAME , [sid]…

Continue reading

Incomplete Tables

Posted on December 12, 2005 by slowder

One of the things I’ve noticed while performance tuning is many of the tables in my current environment are incomplete.  They all have columns defined, and they all have data, but they’re still missing something. Many are missing a primary key.  You don’t always have to have a primary key, but when you’re joining against…

Continue reading
  • Previous
  • 1
  • 2
  • 3
  • Next

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