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more obvious In C++ and C#, however, it is less obvious Imagine, for sake of discussion, that we have an existing B a z API in a VI library that may throw F oo E x c eption or B a r E xc e p t i o n Callers of B a z know that it can throw and have written code that wraps calls to it in try / catch blocks that deal with these particular exception types Then in V2 we decide to parallelize B a z If the two different exceptions are thrown from different parallel units of work inside of it, Ba z's contract with users has suddenly changed dramatically Now B a z might throw an Aggregate E xc eption containing one F ooExcept ion, one B a r E xc e pt ion, or both This is a breaking change and could cause com patibility issues When we release the new and improved B a z implementa tion, existing code now may not correctly deal with exceptions This is unfortunate One possible solution is to offer a new API, such as P a r a l l e l B a z or another overload of B a z This issue is yet another factor that drives people towards the solution to throw only the "first" exception that occurs
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Opportunities for Collapsing Homogeneous Exceptions Often-particu larly in data parallel problems in which homogeneous operations are being performed in parallel-it's possible to turn many failures into one, preserving the original sequential exception model For instance, imagine we are doing a division operation on an aggregate data structure; further imagine that certain elements in the input could occasionally lead to a divide by 0 exception, that is, the BCL type D i v i d e ByZe ro E x c e pt io n If there are many Os in the input, it may be acceptable to collapse many exceptions into one It is worth noting right away that this clearly isn' t always true; for instance, the individual exceptions might carry unique information, such as the ordinal index of the element that triggered the exception The criteria used to determine what is "homogenous" is usually very program dependent, especially since it deeply impacts the way exceptions are propagated and caught And so, if you want to take this approach, you'll need to build it yourself Here are some examples of information that can be used to determine homogeneity: the type of exception; the individ ual fields of the exception objects; the Ta rget S i t e of the exception objects, which contains a reflection handle to the exact method that threw the exception; and so on
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To illustrate, pretend we wanted to collapse D i v i d e ByZe r o E x c e p t i o n objects, a s explained above A t a certain point, w e will have aggregated all instances of the exceptions, and we can apply our criteria for eliminating duplicates
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Exc eption [ ] GetUniq u e ( E x c e pt ion [ ] exception s )
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L i s t < E x c eption > u n i q ueExceptions = new L i s t < E x c e pt i on > ( ) j for ( int i = 0 j i < exception s Lengt h j i++ )
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E x c eption c u r rent = e x c e p t i on s [ i ] j if ( c u rrent GetType ( ) == typeof ( DivideByZero E x c eption
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for ( i nt j = 0 j j < u n i q u e E x c e pt i o n s Count j j + + ) { E x c eption compare = u n i q u e E x c e p t i on s [ j ] j if ( compare GetType ( ) ==typeof ( DivideByZero E x c eption ) && compare Ta rgetSite == c u rrent Ta rget S it e ) { brea k j } e l s e if ( j == u n i q u e E x c e pt i on s Count 1)
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} } } }
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