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Looking at the rounding, you might notice that after about the first six or seven characters of a string, the rest of the letters don t have any impact on the numeric representation used by the optimizer which is why the numeric values for 'Apple' are the only ones that vary when comparing the char(10) with the varchar2(10) versions We don t really need to go into any more detail but you could imagine that the optimizer might have trouble coping with data consisting (for example) of URLs, when lots of them start with http:// (A problem ameliorated, but not solved, by the fact that the first 32 characters of the URL would be stored as the endpoint_actual_value) The problem can be much worse, in fact, because of the increasing popularity of national language support.

Now, you will be on a new screen (see Figure 2-23). Locate the problem database in the right-hand window (BlackBerry) and click the Clear button at the bottom. In the image below, get ready to clear out the Address Book and Address BookAll from the BlackBerry. (Press the Ctrl key to click and select more than one.) Both are selected in the right-hand window Device Databases. Press and click the Clear button.

If you pick a multibyte character set for your database character set, then Oracle will be using the first 15 bytes of the string, not the first 15 characters So the precision gets even worse (Of course, if you switch to a fixed-width multibyte character set, all your character data gets longer, so this introduces a whole new area of performance testing anyway) See script nchar_typessql in the online code suite Character strings can cause massive problems with range-based queries, but the problems show up most commonly when you aren t really thinking about strings as you will see in the next section..

6. 7.

ref class R { public: event EventHandler^ E1; // trivial event EventHandler^ evt; event EventHandler^ E2 { void add(EventHandler^ e) { evt += e; } void remove(EventHandler^ e) { evt -= e; } void raise(Object^ o, EventArgs^ args) { evt(o, args); } } void F(Object^ o, EventArgs^ args) { /* event handler body */ } void f() { E1 += gcnew EventHandler(r, &R::F); } };

One of the first examples in this chapter examined the predicate date_col between 30th Dec 2002 and 5th Jan 2003 on a table holding data from 1 January 2000 to 31 December 2004, and we saw how the optimizer could work out the selectivity of such a predicate. But let s see how things can go wrong in popular implementations of storing dates. We create and populate a table with one row per date over a five-year date range (see script date_oddity.sql in the online code suite).

Once they have been cleared out, click the Back button. Try to Sync again. This will hopefully correct the sync problem.

create table t1 ( d1 n1 v1 ) ;

If the problem has not been corrected, you can restore the Address Book by following these steps: 8. 9. Return to the Advanced Backup and Restore window shown above. In the upper-right corner, click File and click Open to open the full backup file you just created (see Figure 2-24).

ref class R { // member operator: R^ operator+(int i) { /* body */ } // static operator: static R^ operator+(int i, R^ r) { return r + i; // Call member operator + (above). } };

date, number(8), varchar2(8)

Now you can highlight the correct databases from the Full Backup in the left-hand window (Computer databases). In this example we have clicked the Address Book-All database (see Figure 2-25). To restore the selected database to your BlackBerry, click the screen. button in the middle of the

insert into t1 select d1, to_number(to_char(d1,'yyyymmdd')), to_char(d1,'yyyymmdd') from ( select to_date('31-Dec-1999') + rownum from all_objects where rownum <= 1827 ) ;

In this example, I have stored the same information in three different ways. The first column is a proper Oracle date. The second and third columns are popular options for the database-independent applications that tend to store the date as a character string in the format YYYYMMDD (year/month/day) or its numeric equivalent. How does this affect the way the optimizer copes with the following simple queries select from where ; select from where ; select from where ; * t1 n1 between 20021230 and 20030105 * t1 d1 between to_date('30-Dec-2002','dd-mon-yyyy') and to_date('05-Jan-2003','dd-mon-yyyy')