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Using SSIS XML functionality
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The XML task is provided in SSIS so that you can work with XML in the control flow. Because the Data Profiling task produces XML, it is a natural fit to use the XML task to process the data profile output. Primarily, the XSLT or XPATH operations can be used with the profile XML. The XSLT operation can be used to transform the output into a format that s easier to use, such as filtering the profile output down to specific profiles that you are interested in, which is useful if you want to use the XML source to process it. The XSLT operation can also be used to remove the default namespace from the XML document, which makes using XPATH against it much easier. XPATH operations can be used to retrieve a specific value or set of nodes from the profile. This option is illustrated by the Trim Namespaces XML task in the sample package that accompanies this chapter, showing how to retrieve the null count for a particular column using XPATH.
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The sample package for this chapter can be found on the book s website at http://www.manning.com/SQLServerMVPDeepDives.
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If you are new to XML, the preceding discussion may be a bit confusing, and the reasons for taking these steps may not be obvious. If you d like to learn more about working with XML in SSIS, please review these online resources: General XML information: http://msdn.microsoft.com/en-us/xml/default.aspx Working with XML in SSIS: http://blogs.msdn.com/mattm/archive/tags/XML/ default.aspx
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In the data flow, the XML source component can be used to get information from the Data Profiling task output. You can do this in two ways, one of which is relatively straightforward if you are familiar with XSLT. The other is more complex to implement but has the benefit of not requiring in-depth XSLT knowledge. If you know XSLT, you can use an XML task to transform and simplify the Data Profiling task output prior to using it in the XML source, as mentioned previously. This can help avoid having to join multiple outputs from the XML source, which is discussed shortly. If you don t know XSLT, you can take a few additional steps and use the XML source directly against the Data Profiling task output. First, you must provide an .XSD file for the XML source, but the .XSD published by Microsoft at http:/ /schemas.microsoft.com/sqlserver/2008/DataDebugger/DataProfile.xsd is too complex for the XML source. Instead, you will need to generate a schema using an existing data profile that you have saved to a file. Second, you have to identify the correct outputs from the XML source. The XML source creates a separate output for each distinct element type in the XML: the output from the Data Profiling task includes at least three distinct
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Incorporating data profiling in the ETL process
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elements for each profile you include, and for most profiles it will have four or more. This can lead to some challenges in finding the appropriate output information from the XML source. Third, because the XML source does not flatten the XML output, you have to join the multiple outputs together to assemble meaningful information. The sample package on the book s website (http:/ /www.manning.com/SQLServerMVPDeepDives) has an example of doing this for the Column Pattern profile. The data flow is shown in figure 3. In the data flow shown in figure 3, the results of the Column Pattern profile are being transformed from a hierarchical structure (typical for XML) to a flattened structure suitable for saving into a database table. The hierarchy for a Column Pattern profile has five levels that need to be used for the information we are interested in, and each output from the XML source includes one of these levels. Each level contains a column that ties it to the levels used below it. In the data flow, each output from the XML source is sorted, so that consistent ordering is ensured. Then, each output, which represents one level in the hierarchical structure, is joined to the output representing the next level down in the hierarchy. Most of the levels have a ColumnPatternProfile_ID, which can be used in the Merge Join transformation to join the levels, but there is some special handling required for the level representing the patterns, as they need to be joined on the TopRegexPatterns_ID instead of the ColumnPatternProfile_ID. This data flow is included in the sample package for this chapter, so you can review the logic if you wish.
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