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Using Designer to Build a Basic Universe
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Understanding Multiple SQL Statements for Each Measure
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The option Multiple SQL Statements For Each Measure has some nuances that are important to understand First, even if this box is enabled, if the measures come from the same fact table, the query engine will issue only one SQL statement This is a good thing, as it avoids tying up the database unnecessarily Second, the query engine will issue only two SQL statements if the object is a measure (as discussed further in 9) and it contains an aggregate function (sum, count, and so on) When SQL joins two tables together, it will repeat each row for each combination in the GROUP BY section Figure 7-2 illustrates how this happens The ARTICLE_LOOKUP table has only one row and shows a price of 11455 The SHOP_FACTS table has six rows showing that this style blazer sold six times during week 8 of year 2000 When SQL joins ARTICLE_ LOOKUP with SHOP_FACTS, the 11455 unit price will get repeated six times and summed to 68730 an incorrect result Business Objects will refer to this problem as a fan trap, but SQL experts and DBAs will generically refer to it as a Cartesian product BusinessObjects XI will prevent Cartesian products and this overstatement of results by issuing a SELECT statement for each measure coming from different tables This is seamless to users
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NOTE This example uses the object Extended Price object, which includes a SUM As discussed in
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9, unit prices should never be summed If anything, they can be averaged or recalculated with revenue/quantity sold If you wish to see another example of a fan trap, disable the option Multiple SQL Statements For Each Measure and include the two measures from two different tables, such as Store Details \ Extended sales floor size and Sales revenue These measures must contain aggregate functions such as SUM or COUNT
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A Better Universe
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FIGURE 7-2 Queries produce incorrect results when aggregates are used on multiple tables Split the SQL statements to prevent this
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The reports in Figure 7-3 show how the results depend on which option is set in the SQL universe parameters The top report shows the correct results as the SQL is split for each measure and each table As a control, I have added an object to the universe that does not contain the SUM on price Notice that both the Extended Price object that contains the SUM and the Unit Price that does not contain the SUM yield the same correct results: 11455 For the middle report, only one SQL statement is generated, as the parameter Multiple SQL Statements for Each Measure was not selected in the universe Notice how the Extended Price returns grossly incorrect results, 68730 The results have been overstated by however many rows there are in the SHOP_FACTS table
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7:
Using Designer to Build a Basic Universe
PART II
FIGURE 7-3
Splitting the SQL ensures correct results for reports with multiple measures
Unfortunately, even with this setting to split the SQL, you cannot guarantee users will always get correct results as shown in the bottom report Although there are two SQL statements for this report, the query contains an additional result object Year that forces a join to SHOP_FACTS and again overstates the results Therefore, while splitting the SQL can help in many cases, it will not resolve all problems of having measures in multiple tables The best way to prevent such problems is to have all measures in one fact table per context Measures that contain counts are an exception and can be resolved differently as discussed in 11
Links Tab
The Links tab of the Universe Parameters dialog box allows an administrator to create a master universe that is then linked to other universes As this is an architecture and maintenance issue, links are described more fully in 15 By default, leave this tab blank
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