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Yes, it is also possible to include a managed type in a native class To do it, you use the gcroot template in the native type, with the managed type as a template parameter (see Listing 6-14) A root is a handle that tracks a garbage-collected object When roots exist, the object is still alive The idea behind the name gcroot is that the pointer designates the root of a garbage-collected object on the managed heap The gcroot template does not call the destructor on the managed object when it goes out of scope, but there is a variant, auto_gcroot, that does Both templates are defined in the msclr namespace and require the inclusion of the appropriate header file Listing 6-14 illustrates the basic syntax Listing 6-14 Using a Managed Type in a Native Type // gcroot_and_auto_gcrootcpp #include <msclr/gcrooth> #include <msclr/auto_gcroot.

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Figure 12-1 Optimal hash join The steps are as follows: 1 Oracle reads the first data set and builds an array of hash buckets in memory A hash bucket is little more than a location that acts as the starting point for a linked list of rows from the build table A row belongs to a hash bucket if the bucket number matches the result that Oracle gets by applying an internal hashing function to the join column(s) of the row The number of buckets in the hash table always seems to be an even power of two (common values for small hash joins are 1,024 or 4,096 buckets).

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Although the entire structure is really a complex collection of fixed arrays and linked lists, it is convenient to think of the hash table as a square array of cells with the rows from the first (build) table scattered randomly around the square 2 Oracle starts to read the second table, using whatever access mechanism is most appropriate for acquiring the rows, and uses the same hash function on the join column(s) to calculate the number of the relevant hash bucket Oracle then checks to see if there are any rows in that bucket this is known as probing the hash table 3 If there are no rows in the relevant bucket, Oracle can immediately discard the row from the probe table If there are some rows in the relevant bucket, Oracle does an exact check on the join column(s) to see if there is a proper match.

h> using namespace System; using namespace msclr; // managed class R ref class R { public: void f() { Console::WriteLine("managed member function"); }.

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You will recall from 9 that it is always possible for two different input values to a hashing function to collide on the same output value Since it is possible for rows with different values in the join column(s) to be in the same hash bucket, we have to do the exact check Any rows that survive the exact check can immediately be reported (or passed on to the next step in the execution plan)..

There is an important difference between Oracle s approach to acquiring memory for hashing compared to its approach for sorting. As you might guess from the comments about hash collisions in step 3, the hash join works most efficiently (as far as CPU is concerned) if there is at most one row in any hash bucket, so Oracle demands a huge fraction of the hash_area_size as soon as the hash join starts so that it can create a large number of buckets, as this helps to minimize hash collisions.

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