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Checking the trace file for the unhinted query in 10g, you would find the following four general plans sections. And in this trace, you can see that the optimizer has calculated the cost of both options, and then selected the cheaper one. In fact, there were two sets of calculations for joining the two base tables. The only difference between the last two sets of calculations seemed to be the absence of a cost for carrying the join column and I haven t been able to work out the significance of what that represents. Join order[1]: Join order[1]: Join order[2]: Join order[1]: Join order[2]: Join order[1]: Join order[2]: T2[T2]#0 T1[T1]#0 AVG_VAL_VIEW[AVG_VAL_VIEW]#1 AVG_VAL_VIEW[AVG_VAL_VIEW]#1 T1[T1]#0 T1[T1]#0 T2[T2]#1 T1[T1]#0 T2[T2]#1 T2[T2]#1 T1[T1]#0 T2[T2]#1 T1[T1]#0

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You might try implementing an isotope table as a sparse array a data structure that can be used like an array but is a hashtable underneath so as to avoid storing space for unused elements The implementation of such a collection type would probably be a template in classic C++ In C++/CLI, it could be a template or it could be another type of parameterized type, a generic type, which the next section describes..

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Some restrictions exist on view merging, and these vary from version to version of Oracle. However, even when the optimizer is not allowed to merge a view into the main body of a query, there are cases in some nested loop joins where the optimizer can push a join predicate into a view. This results in many small view instantiations, rather than one large view instantiation. Although I have seen pushed predicates being reported in execution plans from time to time, I found it quite hard to create a realistic example when I needed one, so I ve fallen back on a limitation in the optimizer to demonstrate the feature (see push_pred.sql in the online code suite). The most likely case where pushing predicates will occur is when you do outer joins into multitable views: create or replace view v1 as select t2.id1, t2.id2, t3.small_vc, t3.padding from t2, t3 where t3.id1 = t2.id1

TIP: You can even search notes added to calendar events Remember to add notes to your calendar events and the notes field at the bottom of your contacts You can do this right on your BlackBerry or on your computer and sync them Use the Search app to find key notes on your BlackBerry right when you need them Try to be consistent in the way you type someone s name; for example, always use Martin instead of Marty or M or any other variation This way, the Search will always find what you need Occasionally, check your address book for doubles of contact information It is easy to wind up with two or three entries for one contact if you add an e-mail one time, a phone number another, and an address another try to keep one entry per contact.

The execution plan for this query shows the predicate pushing in action. In this case, I have used the 9i dbms_xplan package to show the plan, as the filter_predicates and access_predicates columns of the plan_table are important. ------------------------------------------------------------------------------| Id | Operation | Name | Rows | Bytes | Cost | ------------------------------------------------------------------------------| 0 | SELECT STATEMENT | | 1 | 240 | 5 | | 1 | NESTED LOOPS OUTER | | 1 | 240 | 5 | |* 2 | TABLE ACCESS BY INDEX ROWID | T1 | 1 | 119 | 3 | |* 3 | INDEX RANGE SCAN | T1_PK | 42 | | 2 | | 4 | VIEW PUSHED PREDICATE | V1 | 1 | 121 | 2 | |* 5 | FILTER | | | | | | 6 | NESTED LOOPS | | 1 | 129 | 3 | |* 7 | INDEX RANGE SCAN | T2_PK | 1 | 9 | 2 | | 8 | TABLE ACCESS BY INDEX ROWID| T3 | 1 | 120 | 1 | |* 9 | INDEX UNIQUE SCAN | T3_PK | 1 | | | ------------------------------------------------------------------------------Predicate Information (identified by operation id): --------------------------------------------------2 - filter("T1"."N1"=5) 3 - access("T1"."ID1">=10 AND "T1"."ID1"<=50) 5 - filter("T1"."ID1"<=50 AND "T1"."ID1">=10) 7 - access("T2"."ID1"="T1"."ID1") filter("T2"."ID1">=10 AND "T2"."ID1"<=50) 9 - access("T3"."ID1"="T2"."ID1" AND "T3"."ID2"="T2"."ID2") filter("T3"."ID1">=10 AND "T3"."ID1"<=50)

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