Tag: SQL

SQL Stored Procedure to Create SalesLogix Table ID Values

Most of the SalesLogix systems I see now days no longer use remote users. Instead, all users VPN into a central network to access SalesLogix, or use the SalesLogix Web and Mobile clients instead for remote users. This removes the need to worry about things like synchronization for remote users and also allows you to do some SalesLogix table manipulation without going through the SalesLogix OLE DB Provider since things no longer have to be "s...

Updating text within Textblob fields in SalesLogix

I had a request to post on how you could replace characters within a blob field in the SalesLogix database. Blob fields are database fields that hold any sort of binary information (such as text, images, audio, etc..), but SalesLogix uses them primarily for holding large amounts of text, since you don't have to define a field length. The LongNotes field in the History table is a good example.

Running Sql Server Integration services package from a C Sharp application

If you've ever created a SSIS package and wanted to provide a way for end users to run that package without having to run the Business Intelligence Development studio, you can compile the package into a dtsx file for them to run. This would require them to manually alter connections and variables, which can get complicated for an average end user. Alternatively, it is pretty simple to put together an application which can be used to run the ...

Advanced Pivoting in MSSQL

Using pivot queries in SQL is a great tool for rotating data, but what if you need to do something more complicated with multiple data sources and multiple columns? Recently, I had a request to pivot some data from multiple similar tables and to rotate that data into a columnar format.

Leveling out Users Data.

I am four posts into building a drill down report using Sage SalesLogix Visual Analyzer and Dashboard as a my guide.  This series of post starts with a post labeled “Updating the Managed Quota Area for Sage SalesLogix” , if you follow the links on each post you will eventually end up back on this post. In the last […]

Writing the User – Quota vs Actual Crystal Report.

Over the last three posts we have updated the Quota’s are of Sage SalesLogix, we have built SQL views to collect both the Quota data and the Actual Numbers for comparison.  Now we will start writing our report.  I am not going into to much detail on layout.  My goal is to walk you through the common steps: connecting to the […]

Gathering the Actual Numbers for Reporting Comparison

I have just started writing a series of posts that will lead the reader of this blog through the creation of a report with the same kind of data break down as you see in the standard Sage SalesLogix Visual Analyzer and the Sage SalesLogix Dash Board.  In the first week I provided a method to effectively establishing quotas […]

Gathering User Quotas for Reporting

If you read last weeks post, you will know I am setting up to build a user based report that will give the reader a lot of the same data you see in the standard Sage SalesLogix Visual Analyzer and the Sage SalesLogix Dash Board.  Last week I provided you the ability to effectively set goals for your users by […]

Building a query-based lookup in SalesLogix Lan / Using SLX_Common to build query strings

I've previously posed about a number of useful functions available to you within the SLX_Common script in the LAN version of SalesLogix. I'd like to go a little further in-depth about a couple of functions which are helpful for creating new SQL Query strings. In a recent project, I needed to build a query interface similar to what you find in standard opportunity products view. The SLX_Common script holds a couple of functions that I ...

SQL Function for parsing name values

In a recent project, I had to create a SQL Server Integration Services package to basically copy contact information (which was being stored in the Account.Account field) from the Account table into the Contact table. Since the Contact name was being stored in it's entirety within the account field, I needed a way to parse the Contact information to populate the individual contact name fields in the contact table.

Recombining Parsed data in SQL

A couple of weeks ago, I posted about using User Defined functions and Cross Apply to parse data in SQL server. The second part of the import I was working on required me to take that parsed data, perform some manipulations, and then recombine that data. Surprisingly, I found that putting that data together was much more difficult then pulling it apart in the first place. After much experimentation, this is what I came up with...

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