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The underlying problem is that the call to dbms_stats.gather_table_stats(), with the cascade option set to true, sometimes fails to update the index statistics. Counterintuitively, when dbms_stats gets it wrong, the execution plan comes up with the right cost (because the value of user_indexes.num_rows stays the same as user_tables.num_rows), and when dbms_stats gets it right, the execution plan comes up with the wrong costs because user_indexes.num_rows is (correctly) recorded as being less than user_tables.num_rows. For the moment, I am assuming that this is a bug, so I haven t experimented further with the issue, as it may be fixed by the time this book is in print. But bear in mind that on an upgrade from 9i to 10g, this bug means that some very simple queries could change from tablescans to indexed accesses because the cost of the indexed access path has suddenly become unrealistically low and it seems that this could happen more or less randomly.

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When you get to 9i, you have the option of enabling system statistics, and this makes a difference to execution plans. We examined how the new costing mechanisms work in 2,

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Every time a report group changes, the engine adds the corresponding group footer section before starting the new group or when the report ends. Check the provided samples like jasper, datasource or query, placed inside the /demo/samples directory of the project to see how report groups can be used.

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but we can now consider the impact the feature can have even on very simple index-based execution plans. As far as indexes are concerned, the arithmetic is basically unchanged. As we saw in the earlier chapter, the critical features of CPU costing are the time component for multiblock I/Os and the CPU utilization. But typical indexed access is done in single-block I/Os so the time component is irrelevant, and the CPU utilization walking an index to locate and acquire a few rows from a table is usually relatively small. The big difference that appears when you enable CPU costing is that tablescans suddenly become more expensive. I ll demonstrate this with an example. To start, here s some code to create some system statistics (the code was specifically designed for 9i, but is valid on 10g, where there are a couple of other statistics): alter session set "_optimizer_cost_model" = cpu; begin dbms_stats.set_system_stats('CPUSPEED',350); dbms_stats.set_system_stats('MREADTIM',20); dbms_stats.set_system_stats('MBRC',8); dbms_stats.set_system_stats('SREADTIM',10); end; /

If you re familiar with the process of building Windows forms in VS .NET or in Visual Basic 6.0 (VB6), you re probably already comfortable with the way in which these IDEs allow you to work with the interface:

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In this code fragment, we are telling the optimizer to assume that our CPU speed is 350MHz (or probably 350 million Oracle operations per second), that a multiblock I/O will take 20 milliseconds and will typically be fetching 8 blocks, whereas a single block I/O takes 10 milliseconds. The deliberate setting of the optimizer cost model to use CPU costing is to standardize the effect between 9i and 10g. The default value for this parameter is choose, and 9i will choose to use CPU costing only if the system statistics exist, but 10g will always choose to use CPU costing and then synthesize some statistics if there aren t any in place (and I can t get the delete_ system_stats call to drop the system statistics in 10g). If we then run the following query against our base data set, we can see the effects of CPU costing (see script btree_cost_05.sql in the online code suite): select small_vc from t1 where and and ; n1 = 2 ind_pad = rpad('x',40) n2 in (5,6,7)

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