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Example of forcing a filter subquery path Example of pushing subqueries (8.1 only) Demonstration of the ordered_predicates hint Subquery filter going faster with sorted driving table How bad luck can affect the performance of a filtered subquery Uses an inline scalar subquery instead of a traditional correlated subquery Uses a scalar subquery to fake determinism in function calls Uses a scalar subquery to investigate the hash table Simple example of scalar subqueries used to generate large data sets More complex example of using scalar subqueries to simplify problems. Demonstration of changes due to complex_view_merging Demonstration of pushing join predicates The first filter example, with the SQL written with a manual unnest A filter that looks as if it should take place (in 10g) but doesn t As unnest_cost_01.sql, with modifications in which averages are required Examples leading up to the semi-join Examples leading up to the anti-join Example of an anomaly where not in does something that not exists cannot Highlights the problem of nulls and not in subqueries Example of how the ordered hint can cause problems on upgrade Example of a star transformation Simple demonstration of a star join (not star transformation) Demonstration of how 10g can convert a set operation to a join (or anti-join) Sets a standardized environment for SQL*Plus

There may be some situations where you want a combination of options that one profile alone cannot satisfy. The BlackBerry is highly customizable so that you can adjust your profile options for virtually any potential situation. The easiest way to accomplish this is to choose a profile that is closest to what you need and edit it, as shown here.

hat is the maximum number of tables that Oracle can join at once You may be surprised to learn that the answer is two. It doesn t matter how many tables you have in your query, Oracle will only work on two objects at a time in a join. In fact, you could even argue that the optimizer doesn t have a long-term strategy for joins, it simply takes what it s got at any one point and joins on the next available table to see what happens. Of course, this description is a little fanciful but it s not far from the truth. To perform a five-table join, the optimizer picks a starting table and joins on one table; it takes the intermediate result and joins on one more table; it takes the intermediate result ... and so on, until all five tables have been used; so it is perfectly true that Oracle can only join two tables. But there is a strategy which is to make a sensible first guess at a good join order, and then work methodically through a series of permutations of that join order in a way that tries to minimize the risk of wasting time on really bad join orders while maximizing the chance of finding a better join order. There are three things to consider with joins: how the optimizer calculates the join cardinality, how the optimizer calculates the join cost, and how the execution of each type of join is actually done. In this chapter, we will focus only on the calculation of cardinality.

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A managed array is an object with properties and methods. Rank, not size. Arrays are created on the managed heap. Managed types, primitive types, or native pointers.

Oracle Corp. published a pair of formulae for join cardinality in MetaLink note 68992.1 dated March 1999 and last updated (as of time of writing) in April 2004. The latest incarnation of the formula for the selectivity of a join is as follows: Sel = 1 / max[(NDV(t1.c1), NDV(t2.c2)] * ((card t1 - # t1.c1 NULLS) / card t1) * ((card t2 - # t2.c2 NULLS) / card t2)) with the join cardinality then given as Card (Pj) = card(t1) * card(t1) * sel(Pj) These formulae aren t completely consistent in style and need a little translation in particular, the expression card t1 that appears in the selectivity formula does not mean the same thing as the card(t1) that appears in the cardinality formula. To clarify the meaning, I have rewritten the formulae as follows: