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C++/CLI allows you to also define a function that gets called when the garbage collector actually frees your object. This special function is called the finalizer. If you don t deal with unmanaged resources (e.g., native classes, native file handles, window handles, device contexts, and the like), you don t need finalizers, and you can skim this section. Just use destructors for your usual cleanup operations. If you do use these resources, you need to read and understand this section closely. The runtime is allowed to call the finalizer at any time after the object is no longer being used. There is no guaranteed order in which objects finalizers are called. The practical result of this is that an object s members (if they are also managed objects) may have already been finalized by the time the finalizer runs on your object. Thus, you should use the destructor for explicit cleanup of managed objects, or just allow the garbage collector to handle it. The finalizer is indicated by a function preceded by an exclamation mark (!), as in this example: !R() { Console::WriteLine("R finalizer"); } Try an experiment with the code in Listing 6-15 to see when the destructor and finalizer get called.

At this point, Oracle has a complete map showing where all the data is and how many rows there are in each partition, so it picks a matched pair of dumped partitions (one build, one probe), and performs a hash join between them As an extra optimization detail, Oracle can choose to swap the roles of the two partitions at this point because it knows exactly how much data there is in each partition, and there may be some benefit in using whichever is the smaller one to build the new in-memory hash So, in the case of a high-volume hash join, the hash table can spill to disk, with the probe table following it The cost of the join ought to allow for the I/O performed in dumping the excess to disk and reloading it for the second phase of the join.

5. 6.

This type of hash join is recorded as a onepass workarea execution because the probe dataset is reread from disk just once To generate a reasonable calculation of the cost of the join, we need to know the extra volume of I/O, the form it takes (ie, typical I/O size), and how the optimizer decides to cost each I/O For example, in the worst possible case, Oracle might have to read the data sets from both tables, dump most of the data to disk, and then reread it So the cost ought, perhaps, to go up by a factor of about three (corresponding to the fact that we have read, written, and reread virtually the entire volume of data).

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Listing 6-15. Using a Destructor and Finalizer // finalizer.cpp using namespace System; ref class R { int ID; public: R(int id) : ID(id) { Console::WriteLine("R constructor {0}", ID); } ~R() { Console::WriteLine("R destructor {0}", ID); } !R() { Console::WriteLine("R finalizer {0}", ID); } }; void MakeObjects() { R^ r; R r1(0); for (int i = 1; i < 7; i++) { r = gcnew R(i); } } int main() { MakeObjects(); // Normally, you should avoid calling GC::Collect and forcing garbage // collection rather than letting the garbage collection thread determine // the best time to collect; I do it here to illustrate a point. GC::Collect(); } Here is the output of Listing 6-15: R R R R R R R R R R constructor 0 constructor 1 constructor 2 constructor 3 constructor 4 constructor 5 constructor 6 destructor 0 finalizer 5 finalizer 6

Of course, we have to allow for the fact that when we are dumping and rereading the partitions, we may be able to use more efficient I/O than we did when we first collected the data We also have to allow for the fact that we won t dump every row of our data, as some rows will be joined and reported on the initial acquisition from the probe table If we check the execution plan for the sample query, we can see the following data sizes:.

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Size (bytes) of build data: Size (bytes) of probe data:

2,060,000 10,270,000

4 3 2 1