Skip to main content

File Path Expression Tip

Expressions in SQL Server Integration Services packages allow you to dynamically change values during the execution of a package. Each time you create an expression, it's as though you're creating a little program to retrieve the desired value. One use of an expression is to split a value into chunks that can be configured and used in multiple places.

A common example is separating out file information into a file path and a file name, where the file path is the reusable piece. The file path can then be managed through a configuration and modified at any time.

The expression usually looks similar to this:
    @[User::FilePath] + @[User::FileName]
or maybe this:
    @[User::FilePath] + "\\" + @[User::FileName]

The obvious problem is that you need to remember to add (or not add) the back slash on the file path. By extending our "little program", we can handle either situation at the same time, like so:
    @[User::FilePath] +
    (RIGHT(@[User::FilePath], 1) == "\\" ? "" : "\\") +
    @[User::FileName]

This is just a fun little tip to help you in your development!

Version: SQL Server 2005 SP2

Comments

Englestone said…
Nice little tip, cos lets face it we all forget those slashes sometimes!

-- Lee
Jessica M. Moss said…
I'm glad that you found it useful, Lee!

Popular posts from this blog

Reporting Services 2008 Configuration Mistake

To start working with the management side of SQL Server Reporting Services 2008, I decided to set up a report server and report manager. Unfortunately, I made a mistake while setting up my configuration that left me a little perplexed. Here are the steps I took to cause, track down, and solve the issue. Problem: I began by opening the Reporting Services Configuration Manager from the Start Menu. I clicked through each of the menu options and accepted the defaults for any question with a warning symbol, since warning symbol typically designate an action item. After two minutes, all of the warning symbols had disappeared, and I was ready to begin managing my report server. Unfortunately, opening up a browser and trying to open up the report manager resulted in the dreaded " The report server has encountered a configuration error. (rsServerConfigurationError) " message. Sherlock-ing it: I put on my sleuthing hat and went to the log file directory: C:\Program Files\Microsoft...

SQL Server 2016 versus 2014 Business Intelligence Features

Hello, SQL Server 2016 Yesterday, Microsoft announced the release of SQL Server 2016 on June 1st of this year: https://blogs.technet.microsoft.com/dataplatforminsider/2016/05/02/get-ready-sql-server-2016-coming-on-june-1st/ .  Along with performance benchmarks and a description of the new functionality, came the announcement of editions and features for the next release. Good-bye, Business Intelligence Edition The biggest surprise to me was the removal of the Business Intelligence edition that was initially introduced in SQL Server 2012.  Truthfully, it never seemed to fit in the environments where I worked, so I guess it makes sense.  Hopefully, fewer licensing options will make it easier for people to understand their licensing and pick the edition that works best for them. Feature Comparison Overall, the business intelligence services features included with each edition for SQL Server 2016 are fairly similar to SQL Server 2014.  Nothing has been "...

Is Data Science a Buzzword? aka: My first Coursera Course

Data science and data scientists are all the rage right now in the information technology space. Every company wants one; every job candidate touts they are one. But what actually does that mean to companies and potential employees? I decided to take a course on data science to see if I could find out! My co-worker, Gabriella Melki, recommended the Coursera Data Science specialization by John Hopkins Bloomberg School of Public Health. The entire specialization contains a set of 9 courses, but you can take each one individually. I started with the first course, called "The Data Scientist's Toolbox". Over the four week timeframe, I was able to view lectures and perform the assignments at my own pace. I've listed below my thoughts on the course and what I learned about data science. Week 1: Introduction to Data Science Data science is about data , specifically about answering questions, and science , following a method to discover an answer. A data scientist is the ...