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Like SQL queries, HQL queries can embed two types of parameters: Query parameters are embedded using the $P{..} syntax. These parameters are used as named parameters of the Hibernate query. The correspondence between Java parameter types and Hibernate types is resolved according to Table 8-1. Table 8-1. Parameter Type Mapping

Caution Be careful to use an uppercase letter O when setting the value, because it is case-sensitive!

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As you can see from this listing, for small numbers of tables, the optimizer will cycle through all the possible permutations in a very straightforward fashion. But it will simply skip some permutations that cannot possibly be any good, because a similar permutation with the same starting order of tables is known to be a bad choice. In fact, with a potential 24 join orders, Oracle only ran the calculations to completion on six of the possibilities (marked with ***). For larger numbers of tables, things can be different. In the first place, the optimizer may decide that after testing a few join orders the cost of executing the query is so small that it might as well go ahead without checking any more join orders. Essentially, as soon as the time spent in checking join orders exceeds the predicted run time, Oracle runs with the best its got so far. This does mean that if the optimizer happens to pick an unsuitable starting table because it got the cardinality wrong the standard permutation cycle can cause a problem. In a ten-table join, it would take a long time to cycle the first table out of pole position. So the optimizer has an algorithm that comes into play with larger numbers of tables, and the modified algorithm starts switching the leading tables around if too many join orders have been tested without a reasonable cost appearing.

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Finally, be aware that in State Service and SQL State session modes, session data must be serialized and deserialized to get it in and out of storage, and the cost of this processing will directly depend on the complexity of your objects.

Note For users of Oracle 8, I understand that changing the parameter optimizer_max_permutations from its default of 80,000 to any other value will make Oracle 8 switch to the new algorithm. For users of Oracle 10, you might note that there is a new parameter called _optimizer_join_order_control, which takes the value 3 so Oracle Corp. may have come up with yet another, better algorithm for permuting through the join orders.

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The web application can tailor the content it generates according to the most recent information available. For example, plenty of sites include a display of the number of users currently using the site. That display is generated using up-to-the-minute information taken at exactly the moment the request is received by the web server. The main disadvantage of dynamic content is that it takes processor power to generate it. If you have a web server that serves web pages to many consecutive users, and your dynamic pages depend on server-side processing, your web server must be able to support all those users. If you have content that rarely changes, it s better to store it statically and save your server s resources. We ll talk about performance issues in much more detail in 12, but suffice it to say that static content does have its place in web application development, and dynamic, server-side processed pages are not for free.

Parameter Type (Java)

Another of the special cases comes into play with large numbers of tables where large means at least seven. As it works through possible join orders, the optimizer simply ignores, and doesn t even list, any that would require too many Cartesian joins (other than single-row Cartesian joins). The parameter _optimizer_search_limit seems to be the parameter that controls the limit on the number of Cartesian joins allowed, and has a default value of 5. Of course, it is instructive to see what happens if you give Oracle a query that joins seven tables, with no scope for anything other than Cartesian joins all the way. There is a lot more to investigate in the 10053 trace in particular the information it gives you with more complex SQL statements that require the optimizer to evaluate subplans for several transformations of your query, and then consider various optional execution mechanisms such as star joins. And I haven t even mentioned what goes on when you use the first_rows(N) optimization hint. But I have to leave something for volumes 2 and 3.

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