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Templates support nontype template parameters; generics don t Templates support specialization and partial specialization; generics don t Templates work better with mathematical operations; unconstrained generics don t allow the use of mathematical operators on the unknown type parameter, and there are no viable constraints for families of primitive types (eg, int, double, etc) Generic types cannot inherit from the type parameter, as is possible with templates Generics have no equivalent of template metaprogramming, that is, using template expansion by the compiler to perform operations Templates are compiled at the time of instantiation; generics are compiled at the point of definition The last point bears some further explanation, since it has far-reaching implications in terms of what code is allowed in a generic class The basic rule is that a generic class may not include any code that is not ensured to compile with any type argument.

10053 trace) and the parallel cost at full parallelism (the Resp figures in a 10053 trace), and then picks the point along the line from serial to parallel that represents your required percentage (The same interpolation mechanism applies to sorting and to some aspects of hash joins, but the simple tablescan is the best way to demonstrate the arithmetic) For example, from the table of 9i results, the cost of parallel degree 4 is 380, and the cost of a serial scan is 1519 If we set _optimizer_percent_parallel to 75, then the final cost would be calculated as 25% of 1519 plus 75% of 380, which comes to 66475 You might note from the table of results that running parallel 4 at 75% does not give you the same cost as running parallel 3 at 100%.

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Yet another consideration comes into play in 9i and 10g if you set the parameter parallel_adaptive_multi_user to true (and this is the default value for 10g) When this is set, only a limited number of users are allowed to run at the default degree of parallelism and on my test systems, this limit was one in 9i, and two in 10g So the optimizer is effectively costing parallel execution on the basis that no more than one or two parallel queries are going to be running at any one moment The limit is set by the hidden parameter _parallel_ adaptive_max_users, but don t fiddle with it as it s one of the parameter values used by Oracle at startup time to calculate the value of parallel_max_servers, so it will have side effects Other oddities occur with the costing of parallel tablescans.

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Think about the fact that the compiler will not even know what types might eventually be used as type arguments You could compile G<T> today and deploy it somewhere, and years later someone could instantiate it with a type that never even existed when G<T> was compiled This would not be possible if just any code were allowed to compile That s the reason why constraints are so important in generic classes In order to call a method on a type parameter, the compiler must be certain that that method is in fact available for every allowable type argument that may be used The runtime must also be equally forceful in insisting that only types that meet the constraints are allowed to be used as type arguments.

When you have not enabled system statistics (CPU costing), the calculation uses the same adjusted dbf_mbrc as the serial scan But parallel scans are direct path reads in other words, reads that bypass the data buffer so they don t have to worry about the side effects of catering to blocks that are already in the cache, and therefore it is almost inevitable that they will be the full db_file_multiblock_read_count size The calculation does not cater to this different mechanism..

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