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There are 12 possible months in the year. Dates of birth are (probably) evenly scattered through the year. One-twelfth of the audience will be born in any one month. The request was for one specific month. The requested month does actually exist in the calendar. There are 1,200 people in the audience. The answer is one twelfth of 1,200, which is 100. -- known reference -- assumption -- month s selectivity -- predicate -- boundary check -- base cardinality -- computed cardinality

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AtomicNumber = safe_cast<int>(element); // set called implicitly You can also use the compound assignment operator (+=, -=, etc) and the postfix or prefix operators with properties to simplify the syntax in some cases For example, consider the AlphaDecay method in the RadioactiveAtom class It could be written as shown in Listing 2-10..

Let s turn the question into an SQL statement, and rerun the steps from the optimizer s perspective. We ll have a table called audience, with a column called month_no that uses the

numbers 1 to 12 for the months of the year. Being good DBAs, we have generated statistics for the data. Our query reads like this: select from where ; count(*) audience month_no = 12

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Allowing for a little poetic license on my part, the optimizer will perform the following steps for the month_no column. Note how these steps follow the human line of thinking very closely, although they add in one check that human intuition allows us to forget. We examine figures from the view user_tab_col_statistics (or user_tab_columns) and check view user_tab_histograms to find the following details: user_tab_col_statistics.num_distinct is equal to 12. user_tab_histograms shows just the low (1) and high (12) values, so assume the values are evenly spread. user_tab_col_statistics.density is equal to 1/12; one month gives one twelfth of the data. month_no is equal to 12, single column, equality, so user_tab_col_statistics.density is usable. 12 is between the low_value and high_value of user_tab_col_statistics. user_tab_col_statistics.num_nulls is equal to 0 (everyone was born some time the computer has to consider it, even though it was intuitively obvious to you). user_tables.num_rows is equal to 1,200. The answer is one-twelfth of 1,200, which is 100. The audience is modeled in the script birth_month_01.sql in the online code suite, and the query for December birthdays produces the following execution plan: Execution Plan (9.2.0.6) ---------------------------------------------------------0 SELECT STATEMENT Optimizer=ALL_ROWS (Cost=2 Card=1 Bytes=3) 1 0 SORT (AGGREGATE) 2 1 TABLE ACCESS (FULL) OF 'AUDIENCE' (Cost=2 Card=100 Bytes=300) Line 2 is the one we are interested in this shows Card=100: Oracle has correctly inferred that there will be 100 rows in the base table that match our test. (The Card=1 in line 0 reflects the fact that the final output we get from counting those rows is, indeed, a one-line answer.) You might note a little oddity when you look at the statistics stored in the data dictionary. select column_name, num_distinct, density from user_tab_col_statistics

Listing 2-10. Using Compound Assignment Operators with Properties virtual void AlphaDecay() { AtomicNumber -= 2; IsotopeNumber -= 4; UpdateHalfLife(); }

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