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policies that limit query evaluation For example, the preceding query might return the following values in the limits_applied parameter:
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search_card match_card return_card
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Unfortunately, the limits_applied parameter is not very useful because it contains only a list of policy names Therefore, by looking at this parameter, you can learn only that a trader applied a limit and cannot learn what the value of the limit was or which trader applied it
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Choosing Policies and Preferences
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Policy values have performance implications Traders are typically tuned to perform best if no overriding policy values are supplied by the importer, so you should not change the default policies (except for return_card) unless you have a good reason Also, policy values are advisory only A trader is free to ignore one or more policy values for example, because database limits prevent the policy value from being used as specified Preferences can also lower performance For example, if you submit a query that returns a large number of offers and also requires ordering or randomizing of the results, the trader is forced to allocate sufficient buffer space to hold the complete query result, and that has implications for performance and memory consumption It is possible to specify combinations of policy values that make little sense, such as match_card > search_card and return_card > match_card The specification does not define how a trader should deal with such policy combinations: a trader may ignore a meaningless combination, may apply the most restrictive policy, or may follow the policies blindly (something that will likely reduce performance) Even with sensible policy values, a particular query result may cause problems For example, for sorting of offers, the match_card policy limits the number of service offers that will be sorted However, because service offers can vary in size, the amount of buffer space required for sorting may be too large for a particular result set In this case, the trader returns however many service offers it can fit into memory in sorted order and returns the remaining offers in unsorted order Here are a few policy combinations that are commonly used The most common use of a trader is for a simple import, in which the importer is interested only in a single matching service offer and does not have a notion of "best" or "cheapest" In this case, set return_card and match_card to 1 and use the default preference of first (an empty preference string is the same as specifying first explicitly) These settings permit the trader to do the minimum amount of work to retrieve a matching service offer In addition, most traders are optimized for this case
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If you know that a query is likely to return a large result and you require sorting, set match_card to the same value as search_card These settings ensure that you will get the best possible sort for the offers that match If you limit search_card, you reduce the amount of data the trader must search, thereby improving performance However, be aware that this practice may lead to incomplete answers In the worst case, you will get no matching offers from the trader even though there are matching offers This happens if no match is found with the first search_card offers examined by the trader If you use randomization and require only a single offer, set return_card to 1 and set both search_card and match_card to the largest permissible values These settings give the best possible randomization On the other hand, setting match_card < search_card results in better performance but in poorer randomization Ensure that the following relation holds for all queries:
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return_card <= match_card <= search_card
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This is simply common sense There is no point in asking for more offers to be returned or sorted than the number of offers searched Unfortunately, the specification is silent about how cardinality limits should be treated for federated traders (see Section 19166) To learn about the behavior of your implementation, you must ask your trader vendor
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