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to miss the fact that we have a fairly bad scaling issue on our hands Only by deeper investigation in the latching section of the Statspack report will we see the problem at hand Additionally, it is not normally possible to determine how much of the CPU time used by the system is due to this spinning all we know in looking at the two-user test is that we used 74 seconds of CPU time and that we missed getting a latch on the Shared pool 229,537 times We don t know how many times we spun trying to get the latch each time we missed, so we have no real way of gauging how much of the CPU time was spent spinning and how much was spent processing We need multiple data points to derive that information.

Under automatic SGA memory management, the primary parameter for sizing the auto-tuned components is SGA_TARGET, which may be dynamically sized while the database is up and running, up to the setting of the SGA_MAX_SIZE parameter. This defaults to be equal to the SGA_TARGET, so if you plan on increasing the SGA_TARGET, you must have set the SGA_MAX_SIZE larger before starting the database instance. The database will use the SGA_TARGET value, minus the size of any of the other manually sized components such as the db_keep_cache_size, db_recycle_cache_size, and so on, and use that amount of memory to size the default buffer pool, shared pool, large pool, and Java pool. Dynamically at runtime, the instance will allocate and reallocate memory among those four memory areas as needed. Instead of returning an ORA-04031 "Unable to allocate N bytes of shared memory" error to a user when the shared pool runs out of memory, the instance could instead choose to shrink the buffer cache by some number of megabytes (a granule size) and increase the shared pool by that amount. Over time, as the memory needs of the instance are ascertained, the size of the various SGA components would become more or less fixed in size. The database also remembers the sizes of these four components across database startup and shutdown so that it doesn't have to start all over again figuring out the right size for your instance each time. It does this via four double-underscore parameters: __db_cache_size, __java_pool_size, __large_pool_size, and __shared_pool_size. During a normal or immediate shutdown, the database will record these values to the stored parameter file and use them at startup to set the default sizes of each area.

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Note This last feature, of storing the recommended values for the pools, only works if you are using stored

In our tests, because we have the single-user example for comparison, we can conclude that about 22 CPU seconds was spent spinning on the latch, waiting for that resource With Bind Variables Now I d like to look at the same situation as presented in the previous section, but this time using a program that uses significantly less latches during its processing We ll take that Java program and code it using bind variables To accomplish this, we ll change the Statement into a PreparedStatement, parse a single INSERT statement, and then bind and execute that PreparedStatement repeatedly in the loop: import javasql*; public class instest { static public void main(String args[]) throws Exception { DriverManagerregisterDriver(new oraclejdbcdriverOracleDriver()); Connection conn = DriverManagergetConnection ("jdbc:oracle:thin:@dellpe:1521:ora10gr1", "scott","tiger"); connsetAutoCommit( false ); PreparedStatement pstmt = conn.

the source code can be an important issue during the development phase, when it is common to make a few modifications at a time and observe their effect. To reduce the compilation time with each modification, the AspectJ compiler offers incremental mode. With this option, ajc keeps track of the files that need to be recompiled, thus avoiding the recompilation of all the classes for each modification. When using incremental mode, ajc will first fully compile the files supplied and then wait for the user to press either Enter (to recompile), r (to rebuild), or q (to quit the process). The following command launches ajc in incremental mode. The compiler first compiles all the source files in the two directories: F:\aspectj-book\ appendixA\sectionA.8\shopping and F:\aspectj-book\appendixA\sectionA.8\tracing. Then it will monitor changes to those source files, compiling them as needed whenever the user presses Enter:

Additionally, if you know you want a certain minimum value to be used for one of the four areas, you may set that parameter in addition to setting the SGA_TARGET. The instance will use your setting as the lower bound, or the smallest size that particular area may be.

prepareStatement ("insert into "+ args[0] + " (x) values( )" ); for( int i = 0; i < 25000; i++ ) { pstmtsetInt( 1, i ); pstmtexecuteUpdate(); } conncommit(); connclose(); } } Let s look at the single and dual user Statspack reports, as we did for the no bind variable example We ll see dramatic differences here Here is the single-user report:.

> ajc -incremental -sourceroots F:\aspectj-book\appendixA\sectionA.8\shopping; F:\aspectj-book\appendixA\sectionA.8\tracing

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