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And the same type of strategy appears with subpartitions of a single partition In many cases, you may find that the only way to get the optimizer to produce sensible plans is to refresh the table-level statistics as you do partition maintenance This may prove to be a resourceintensive approach..
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) Each of these methods has the same seven arguments (though Insert() has some overloads that allow you to specify fewer than all seven) Using them is so similar that we ll only show you some examples of the Add() method now You ll see how to use the Insert() method when we apply some data-caching techniques to the Friends Reunion application in the next Try It Out section Dependencies and Priorities To appreciate what you can do with Insert() and Add(), you need to know a little about dependencies and priorities By specifying a dependency for an item when you insert it into the cache, you re telling ASP NET that the item should remain cached until a certain event occurs.
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The net.sf.jasperreports.engine.JRRewindableDataSource is an extension of the basic net.sf.jasperreports.engine.JRDataSource interface, to which it adds the possibility of moving the record pointer back before the first virtual record. It adds only one method, called moveFirst(), to the interface. Rewindable data sources are useful when working with subreports. If a subreport is placed inside a band that is not allowed to split due to the isSplitAllowed="false" setting and there is not enough space on the current page for the subreport to be rendered, then the engine has to give up rendering the current band, introduce a page break, and restart the band and the subreport on the next page. But since the subreport has already consumed some of the supplied data source records when trying to render the band on the previous page, it needs to move the record pointer of the data source back before the first data source for the subreport to restart properly. All built-in data source implementations are rewindable except for the net.sf. jasperreports.engine.JRResultSetDataSource, which does not support moving the record pointer back. This is a problem only if this data source is used to manually wrap a java.sql. ResultSet before passing it to the subreport. It is not a problem if the SQL query resides in the subreport template because the engine will reexecute it when restarting the subreport on the next page.
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plan_run81.sql plan_run92.sql tablescan_01.sql calc_mbrc.sql tablescan_01a.sql tablescan_01b.sql set_system_stats.sql tablescan_02.sql tablescan_03.sql tablescan_04.sql cpu_costing.sql parallel.sql parallel_2.sql index_ffs.sql hack_stats.sql partition.sql setenv.sql
The Add() and Insert() methods allow you to specify the dependency of a cached item at the time the item is cached, using these values: CacheDependency allows you to specify a file or cache key If the file changes, your object is removed If the cache key changes or becomes invalidated, the object is also removed DateTime is a DateTime value that dictates the time at which the cached data expires (as we said earlier in the chapter, we use the term absolute expiration for this type of expiration)..
Script to report all columns of the plan_table in 8.1 Script to report all columns of the plan_table in 9.2 Builds simple test data set for tablescan costs Script to generate adjusted dbf_mbrc values Impact of block size on cost for a table fixed at 10,000 blocks Impact of multiple block sizes on cost for a table fixed at 80MB Sample of code to set system statistics Original test case modified to investigate normal CPU costing Original test case modified to investigate noworkload CPU costing Effects of noworkload CPU costing with multiple block sizes Basic demonstration of predicates moving Reuses the first tablescan example for parallel testing Version of parallel.sql with system statistics enabled Simple demonstration of fast full scan costs on an index General-purpose script for modifying statistics on an object Demonstration of how partitioned tablescans are costed Sets the standardized test environment for SQL*Plus
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