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There are other problems with outlying values. The use of an extreme value to replace a null is not the only reason for a slightly odd data distribution that ends up causing bad execution plans. The same effect can also appear because people sometimes use an unusual value to represent special events. Consider, for example, an accounting system that has a period column storing data for periods 1 to 12 plus a period (for adjustments) that is given a number of 99. The script discrete_01.sql in the online code suite emulates this (and also includes a second option, where the special period is number 13): create table t1 as with generator as ( select --+ materialize rownum id from all_objects where rownum <= 1000 ) select /*+ ordered use_nl(v2) */ mod(rownum-1,13) period_01, mod(rownum-1,13) period_02 from generator v1, generator v2 where rownum <= 13000 ; update t1 set period_01 = 99, period_02 = 13 where period_01 = 0; ; commit; As you can see, I have set up a table with two period columns. Both of these columns hold 13 distinct values, with 1,000 rows for each value. But one column uses 13 (the next possible integer) as its adjustments period, the other uses the far-out value of 99.

NOTE: We showed how to erase only your Address Book and restore it to help with troubleshooting the Desktop Manager sync in the Fixing Specific Errors section on page 86. Connect your BlackBerry to your computer. If you are not already in the Backup and Restore menu, from the main Desktop Manager screen click the Backup and Restore icon. Click the Advanced button in the right portion of the screen (see Figure 2-41).

When we query the table for all the data in the second quarter (periods 4 to 6, say), we know that we really want to see 3,000 rows. We can work out from the standard formula that Oracle will predict the wrong cardinality because the formula is num_rows * ( (our_high - our_low) / (table_high - table_low) + 2 / num_distinct) ) For the column period_01, using special value 99, this gives 13,000 * (2 / 98 + 2 / 13) = 2,265.306. For the column period_02, using special value 13, this gives 13,000 * (2 / 12 + 2 / 13) = 4,166.667. But when we test the query against period_01, we get the following: select from where ; count(*) t1 period_01 between 4 and 6

1. 2.

property List<Isotope^>^ Isotopes; }; Using this generic type is as easy as using the managed array type The code in Listing 2-16 uses a for each statement to iterate through the generic List collection to look up an isotope by its number Assume an Isotope class with an IsotopeNumber property..

Execution Plan (9.2.0.6) ---------------------------------------------------------0 SELECT STATEMENT Optimizer=ALL_ROWS (Cost=5 Card=1 Bytes=3) 1 0 SORT (AGGREGATE) 2 1 TABLE ACCESS (FULL) OF 'T1' (Cost=5 Card=1663 Bytes=4989) The cardinality predicted by Oracle for the column with period 99 is 1,663, not the 2,266 we expect from the standard formula. (The cardinality predicted by Oracle for the column with period 13 does, however, match the 4,167 given by the formula.) It gets worse, because look what happens with the four different quarters of the year in which we might be interested:

4. 5. 6.

Period_01 between 1 and 3 Period_01 between 4 and 6 Period_01 between 7 and 9 Period_01 between 10 and 12 Cardinality = 1,265 Cardinality = 1,663 Cardinality = 1,929 Cardinality = 2,265 ----- finally, one that s right!

The left side of the screen shows a backup file from your computer. If the left side is blank, open a backup file to use. Select File and Open (see Figure 2-41). Navigate to a specific folder and backup file to open and click Open. When the file is open, you will see the left-hand window fill up with the contents of that backup file (see Figure 2-42).

Listing 2-16. Iterating Through a Generic Collection ref class ElementType { // omitting other members of the class // Find an isotope by number. If not found, return a // null handle (nullptr). Isotope^ FindIsotope(int isotope_number) { for each (Isotope^ isotope in Isotopes) { if (isotope->IsotopeNumber == isotope_number) return isotope; } return nullptr; } }; A more complete discussion of generics and managed templates is the subject of 11. In the meantime, we will use the generic List class in examples throughout this book. You ll see in 11 how to define generic classes and functions.

It is possible that this change in cardinality could make our execution plans change, for no reason beyond the time of year we are running the query! (Assuming all other related data distributions stay the same, of course.) You might try a cunning trick to work around this problem. What happens if you change the predicate to something that is equally valid at least, from the perspective of your superior knowledge of the data (See script discrete_02.sql in the inline code source.) select from where ; count(*) t1 period_01 > 3 and period_01 < 7

Now, you can selectively backup, erase, or restore individual databases on your BlackBerry by following the steps in the next section.

Execution Plan (9.2.0.6) ---------------------------------------------------------0 SELECT STATEMENT Optimizer=ALL_ROWS (Cost=5 Card=1 Bytes=3) 1 0 SORT (AGGREGATE) 2 1 TABLE ACCESS (FULL) OF 'T1' (Cost=5 Card=735 Bytes=2205)