Skip to content

shannonlowder.com

Menu
  • About
  • Biml Interrogator Demo
  • Latest Posts
Menu

70-451: Full-Text Search and Service Broker

Posted on March 30, 2011July 6, 2011 by slowder

Ok, over the past two posts I’ve been discussing some SQL Server Components and what they’re good for.  I’ve already spent some time with the SQL Server Agent and others.  In this article I want to dig into some scenarios you can solve using Full-Text searches.

Let’s dive right in.

Scenario 1

You have a table with 30 million rows.  You want to be able to

  • Query all string values within the table.
  • Order the results based on “proximity” of the search (how close is the result to the requested string?)
  • Minimize the amount of time required to execute queries.

All of these are problems that can be solved by creating a full-text index on your table.  Full-text indexes can be applied to any character datatypes stored in your table: CHAR, NCHAR, VARCHAR, NVARCHAR, XML, VARBINARY, TEXT, and NTEXT, but you wouldn’t still be implementing a TEXT OR NTEXT, right?  You know those data types have been replaced by VARCHAR(MAX) and NVARCHAR(MAX), right?

Of course you have! 

Now, you can create a full-text index on any number of columns (so long as they are all character based columns).  They can also support any language, whether the column contains english or not.  Just check sys.fulltext_languages for the complete list supported by your server. 

You’ve got four  basic predicates in Full-Text queries: CONTAINS, FREETEXT, CONTAINSTABLE, and FREETEXTTABLE.  The two TABLE predicates are the ones that allow you to return results with a proximity or rank on how close each row is to matching the criteria you pass in your queries.

In later posts I’ll dig into how you can set up full text indexes, how you can maintain them (you have to keep them up to date in order for them to be useful), and how you can use each of the four predicates to solve different business requirements.  For now, You simply need to know that when you’re asked to come up with a solution that will allow users to search through character data and get results quickly and reliably, you’re looking at a situation where full-text indexes and full-text queries will be useful.

Scenario 2

You’re developing an application to manage a hierarchical directory.  Each entry can have a parent entry, each entry can have one or more children entries.  When a user adds an entry, all the existing records must be searched to determine if a change is needed in their “genealogy”  (is the new entry a parent of an existing entry, or a child of an existing entry?)

  • This processing doesn’t have to be computed real-time.
  • Processing new records can take up to 60 seconds to complete.

I’ve actually faced this issue in a previous job.  I had to programatically build descriptions of items being shipped internationally.  The descriptions were built by performing lookups of the US Harmonized Trade Schedule.  At the time my company was on SQL 2000, and I didn’t have access to Service Broker.  If I had, this would have been one of the most common uses for Service Broker, the ability to implement Asynchronous Triggers.

Using Service Broker, I could have implemented a trigger that would have sent a message requesting the descriptions get updated later.  That way the end users could have carried on their other work, knowing the descriptions would be updated as soon as the processor could get to them. 

That’s the great strength of the Service Broker.  Client applications can issue requests, and those requests can be completed later.  No waiting for the results to be processed right then.  This is different from an Agent Job, where once you start the agent, especially if you call it from a T-SQL batch, you’re locked in until that request completes.

Of course you could simply schedule the job be run on a schedule, but what if you needed that job to start each time a certain table has a record added?  You can’t do that with SQL Agent, but you could do that with Service Broker.  Simply issue a message to the Broker, and it will be processed as soon as the processor gets to that request.

In later posts, I’ll cover how we can set up a Broker system.  I’ll even cover how to manage the service.  For now, I just want you to realize what the Service Broker can do, and what sorts of business requirements you can meet with this component.  We’ll work on how to implement those components later.

We have two more components yet to cover in this overview of SQL Server Components: Distributed Transaction Coordinator (DTC) and linked servers.  I’m willing to bet you’ve already used linked servers, though you might not realize it.  The DTC, however, might be a bit new to you.  We’ll cover those next time.

If you have any questions about when you would want to use full-text searches or Service Broker, let me know.  I’ll do my best to discuss your scenario, and offer my thoughts on the situation.  I’m here to help! 

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