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~DBConnection() { // Close the connection // .. } }; ref class PlantData { public: static Recordset^ PlantQuery(String^ search) { DBConnection^ connection = gcnew DBConnection(); return connection->Query( search ); } }; If you were to use this code in production, you would run into a problem in that the large botany database with the limited number of connections frequently runs out of available connections, so people have trouble accessing the database Depending on the database and data access implementation, this could mean connections are refused, or a significant delay enters the system as data access code is blocked awaiting a connection And all this because the destruction of managed objects happens not when the function exits, but only when the garbage collector feels like cleaning them up.

In this example, I have created a loopback database link to help me emulate a distributed query, and then joined a table to itself The column skew that appears with the predicate skew = 5 has a very skewed data distribution, and has had a histogram built on it When I generate an execution plan for the query: select count(*) from t1 where skew = 5; Oracle estimates a cardinality of 22 if I have the histogram, and 41 if I don t In fact, whatever I do with local queries, or remote (ie, single-site) queries, Oracle always manages to come up with a cardinality of 22 if I have a histogram in place As soon as I write a distributed query, though, Oracle loses track of the histogram for whichever copy of the table is not at the driving site.

After your BlackBerry is connected and is in Mass Storage mode, open your computer s file management software. Start your Finder. Look for another hard disk or BlackBerry (model number) that has been added.

In my test case, regardless of which site was driving the query, the execution plan was as follows: Execution Plan (9206) ---------------------------------------------------------0 SELECT STATEMENT Optimizer=ALL_ROWS (Cost=33 Card=28 Bytes=9296) 1 0 HASH JOIN (Cost=33 Card=28 Bytes=9296) 2 1 TABLE ACCESS (FULL) OF 'T1' (Cost=16 Card=22 Bytes=4488) 3 1 REMOTE* (Cost=16 Card=41 Bytes=5248) D920JLCOMPCOUK@LOOPBACK We are querying t1 in two different disguises, but with the same predicate.

Note how the cardinality for the local query is different from the cardinality for the remote version, which (depending on driving site) gets reported in the other column of the plan_table as one of the following: SELECT "SKEW","SKEW2","PADDING" FROM "T1" "AWAY" WHERE "SKEW"=5 SELECT "SKEW","SKEW2","PADDING" FROM "T1" "A2" WHERE "SKEW"=5 Of course, if you check the v$sql_plan view at the remote site after running the query, you find that the remote site actually has used the histogram to work out the cardinality of the incoming query But it s too late by then; the overall plan has already been fixed, and the site that created it may have selected the wrong join order or join method because it didn t have the right information about the remote table s cardinality..

In fact, you will find that the destructor never gets called at all in the preceding code even when the object is finally cleaned up Instead, something called the finalizer gets called by the garbage collector to take care of the cleanup, if one exists You ll learn more about that in 6 The ability to control when a variable goes out of scope and is destroyed is clearly necessary Objects that open database connections or block a communication channel such as a socket should free up these resources as soon as they re no longer needed For native C++ programmers, the solution to this problem might be to create the variable on the stack and be assured that its destructor, which frees up the resources, would be called at the end of the function.

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I mentioned earlier on that there are two different types of histogram, referred to by Oracle as the frequency histogram and the height balanced histogram. We will examine the frequency histogram first, as it is much simpler to deal with. The script c_skew_freq.sql in the online

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