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Script tasks and components provide another means of accessing the information in the Data Profiling task output. By saving the output to a package variable, you make it accessible within a Script task. Once in the Script task, you have the choice of performing direct string manipulation to get the information you want, or you can use the XmlDocument class from the System.Xml namespace to load and process the output XML. Both of these approaches offer a tremendous amount of flexibility in working with the XML. As working with XML documents using .NET is well documented, we won t cover it in depth here. Another approach that requires scripting is the use of the classes in the DataProfiler.dll assembly. These classes facilitate loading and interacting with the data profile through a custom API, and the approach works well, but this is an undocumented and unsupported API, so there are no guarantees when using it. If this doesn t scare you off, and you are comfortable working with unsupported features (that have a good chance of changing in new releases), take a look at Accessing a data profile programmatically on the SSIS Team Blog (http://blogs.msdn.com/mattm/archive/2008/03/ 12/accessing-a-data-profile-programmatically.aspx) for an example of using the API to load and retrieve information from a data profile.

If you need to close the workbook and lose any unsaved changes without Excel prompting the user about them, set the saving parameter of the close command to no:

Once you have retrieved values from the data profile output, using one of the methods discussed in the previous sections, you need to incorporate it into the package logic. This is fairly standard SSIS work. Most often, you will want to store specific values retrieved from the profile in a package variable, and use those variables to make dynamic decisions. For example, consider the Column Null Ratio profiling we discussed earlier. After retrieving the null count from the profile output, you could use an expression on a precedence constraint to have the package stop processing if the null count is too high. In the data flow, you will often use Conditional Split or Derived Column transformations to implement the decision-making logic. For example, you might use the Data Profiling task to run a Column Length Distribution profile against the product description column in your Product table. You could use a Script task to process the profile output and determine that 95 percent of your product descriptions fall between 50 and 200 characters. By storing those boundary values in variables, you could check for new product descriptions that fall outside of this range in your ETL. You could use the Conditional Split transformation to redirect these rows to an error table, or the Derived Column transformation to set a flag on the row indicating that there might be a data-quality issue. Some data-quality checking is going to require more sophisticated processing. For the Column Pattern checking scenario discussed earlier, you would need to implement a Script component in the data flow that can take a list of regular expressions and apply them against the column that you wanted to check. If the column value

If you try to close a workbook that has never been saved, Excel displays the Save As dialog box unless you ve set the saving parameter to no Unless you can be sure that the workbook has already been saved, use the save command to explicitly save each new workbook you create rather than rely on the saving yes parameter of the close command

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matched one or more of the regular expressions, it would be flagged as OK. If the column value didn t match any of the regular expressions, it would be flagged as questionable, or redirected to an error table. Listing 3 shows an example of the code that can perform this check. It takes in a delimited list of regular expression patterns, and then compares each of them to a specified column.

public class ScriptMain : UserComponent { List<Regex> regex = new List<Regex>(); public override void PreExecute() { base.PreExecute(); string[] regExPatterns; IDTSVariables100 vars = null; this.VariableDispenser.LockOneForRead("RegExPatterns", ref vars); regExPatterns = vars["RegExPatterns"].Value.ToString().Split("~".ToCharArray()); vars.Unlock(); foreach (string pattern in regExPatterns) { regex.Add(new Regex(pattern, RegexOptions.Compiled)); } } public override void Input0_ProcessInputRow(Input0Buffer Row) { if (Row.Size_IsNull) return; foreach (Regex r in regex) { Match m = r.Match(Row.Size); if (m.Success) { Row.GoodRow = true; } else { Row.GoodRow = false; } } } }

If you want Excel to prompt the user to save changes, set the saving parameter to ask so that the user sees the Do you want to save the changes you made dialog box (see Figure 15-1)

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