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ne of Web Intelligence s greatest strengths is the ability to create complex queries and answer complex business questions, easily The powerful semantic layer via the universe lets you create complex SQL statements, without your ever having to know or write SQL I use the term complex query to refer to any query that Generates SQL that is more than a straightforward SELECT and GROUP BY Leverages features that you may not necessarily use on a routine basis Potentially has an adverse effect on response time May lead you to incorrect results if you lack a clear understanding of the functionality or logic

You may not always realize when you generate a complex query; it s quite simple to add result objects to the query panel that, unbeknown to you, come from two different star schemas In other cases, you may struggle to define conditions in a way that gives you the desired results for example, you may be forced to use nested conditions or subqueries in which building the query with the attendant thought process and tasks feels complex

... using (mocks.Record()) { mockservice.LogError(new TraceMessage("", 0, "")); LastCall.Constraints( Is.Matching<ComplexTraceMessage>(verifyComplexMessage)); } ... } private bool verifyComplexMessage(ComplexTraceMessage msg) { if (msg.InnerMessage.Severity < 50 && msg.InnerMessage.Message.Contains("a")) { return false; } return true; }

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For certain business questions, you may need to issue multiple queries to arrive at your desired result Web Intelligence s ability to generate multiple SQL statements and present them to you as one report is referred to as multipass SQL In some cases, you as the query author may explicitly create two distinct queries In other cases, Web Intelligence will do this for you automatically if your universe contains contexts or derived tables Even when Web Intelligence creates multiple SELECT statements automatically, from the user perspective, there is only one data provider; it appears you are building one query Web Intelligence generates multiple SQL statements and dynamically stitches the results together, often unbeknown to you (unless you view the SQL) This capability is one of the features that allow you to use Web Intelligence against complex data models such as those in a transaction system or against data warehouses that contain multiple star schemas As long as your dimensions or GROUP BY clause for the two queries are exactly the same,

Part III:

Rhino Mocks has a simpler syntax if you re only testing a method that accepts a single parameter. Instead of using this syntax,

Web Intelligence will automatically display the result set in one table If, however, your dimension objects are unique to a particular star schema, your report may not appear as you intended Following are some sample business questions for which Web Intelligence may generate multiple SQL statements to answer Notice that most of these involve two different metrics that may reside in two different fact tables or be stored at different levels of granularity

Information Requirement Debits, Credits, Month End Balance Movements In/Out, Inventory Days Sales Inventory (DSI) Product Sales, Promotion Explanation Debits and credits are aggregated over a period of time, while balances are one point in time Material movements are aggregated over a period of time, while inventory is one point in time Sales are aggregated over a period of time, while inventory is one point in time Sales come from one fact table, while promotion costs come from another fact table

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