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Execution Plan (9206 Autotrace) ---------------------------------------------------------0 SELECT STATEMENT Optimizer=ALL_ROWS (Cost=927 Card=1 Bytes=38) 1 0 SORT (AGGREGATE) 2 1 HASH JOIN (Cost=927 Card=343000 Bytes=13034000) 3 2 TABLE ACCESS (FULL) OF 'T3' (Cost=2 Card=70 Bytes=420) 4 2 HASH JOIN (Cost=923 Card=343000 Bytes=10976000) 5 4 TABLE ACCESS (FULL) OF 'T2' (Cost=2 Card=70 Bytes=420) 6 4 HASH JOIN (Cost=919 Card=343000 Bytes=8918000) 7 6 TABLE ACCESS (FULL) OF 'T1' (Cost=2 Card=70 Bytes=420) 8 6 TABLE ACCESS (FULL) OF 'T4' (Cost=915 Card=343000 Bytes=6860000) The hints aren t really necessary, but I ve put in the complete set to demonstrate the swap_join_inputs() hint that you can use with hash joins The hints also highlight the fact that sometimes the order that tables appear in the execution plan is a little counterintuitive.

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ref class PeriodicTable { private: Hashtable^ table; public: PeriodicTable() { table = gcnew Hashtable(); ElementType element("Hydrogen", "H", 1.0079, 1); // Add to the Hashtable using the key and value. table->Add(element.Name, element); // Add the other elements... } property ElementType default[String^] { ElementType get(String^ key) { return safe_cast<ElementType>( table[key] ); } } }; int main() { PeriodicTable^ table = gcnew PeriodicTable(); // Get the element using the indexed property and print it. Console::WriteLine( table["Hydrogen"] ); } The output of Listing 7-8 is shown here:

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In this example, Oracle will hash table t3 (line 3) into memory, then hash table t2 (line 5) into memory, then hash table t1 (line 7) into memory Then the scan of table t4 will begin Oracle will pick a row from t4 and probe t1; if the row survives, Oracle will probe t2; if the row survives, Oracle will probe t3; if the row survives, then it will be passed to the sort (aggregate) operation A multi-table hash join can produce results extremely quickly it is not (always) necessary for the first hash join to complete before the second one can start Despite my description of Oracle hashing t3, then t2, then t1, and then probing with t4, Oracle has obeyed my ordered hint Look carefully at the order of the tables in the from clause (t1, t4, t2, t3) Oracle really has obeyed that hint.

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It goes like this: Join order [1]: t1, t4, t2, t3 Now joining t4: (t1, t4) Now joining t2: ((t1, t4) , t2) But we use swap_join-inputs(t2), which means when we see t2 as the second table of a hash join, we reverse the join order: (t2, ( t1, t4 )) Now joining t3: ((t2, ( t1, t4 ) ), t3) But we swap_join_inputs(t3), which means when we see t3 as the second table of a hash join, we reverse the join order: (t3, (t2, (t1, t4 ))), as we got in the execution plan The purpose of this section, though, was to describe the benefits of using the automatic workarea_size_policy.

Now suppose we want to implement a table of the isotopes, as envisioned in 2. Isotopes are different versions of the same element, so there is a many-to-one relationship between isotopes and elements. Isotopes are distinguished by a number, the isotope number, which is equal to the number of protons plus the number of neutrons. The number of protons determines the type of element, and the different isotopes of an element just vary by the number

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So let s run the query twice: once with a hash_area_size of 10MB, and once with a pga_aggregate_target of 200MB (which is the equivalent of 10MB hash_area_size according to the manuals, though the optimizer may use 20MB as the baseline figure in the calculations according to my observations)..

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