.NET/Java PDF, Tiff, Barcode SDK Library

SELECT name, /* name of pool - recycle, keep, or default */ current_size, /* size in megabytes */ buffers /* number of buffers */ FROM V$BUFFER_POOL;

NAME CURRENT_SIZE BUFFERS -------------------- ------------ ---------DEFAULT 24 3000 SQL> The V$BUFFER_POOL_STATISTICS view shows details about all the buffer pools in a database instance.

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One other feature of this process monitor is that it can be configured not only to warn you of impending peril from processes whose operational values are out of bounds, but also to take action in the form of killing the aberrant process when necessary The monitor could be modified easily to perform other actions besides killing a process Using historical data, you can sometimes predict when a specific application will start to consume too many resources It was one such application I was working with that prompted me to write this monitor The monitor helped in characterizing exactly when the application ran out of control and in finding the cause of the behavior Both were very helpful in fixing the problem The syntax for monitor configuration is fairly straightforward, with five colonseparated fields as shown in the following example.

If you have set the initialization parameter DB_CACHE_ADVICE, the Memory Advisor is turned on. The Memory Advisor is also automatically turned on if you set the initialization parameter STATISTICS_LEVEL to TYPICAL or ALL. In either case, the V$DB_CACHE_ADVICE view enables the prediction of behavior with different database cache sizes. Listing 23-26 shows how to use the V$DB_CACHE_ADVICE view to get estimates of the buffer size. Listing 23-26. Using the V$DB_CACHE_ADVICE View SQL> SQL> SQL> SQL> SQL> SQL> SQL> 2 3 4 5 COL name FORMAT a10 col size_for_estimate format 99999 col size_factor format 99.9999 col buffers_for_estimate format 99999 col estd_physical_read_factor format 99.9999 col estd_physical_reads format 999999 SELECT name, /*buffer pool name*/ size_for_estimate, /*cache size for prediction*/ size_factor, buffers_for_estimate, /*cache_size for prediction*/ estd_physical_read_factor,/*ratio of estimated physical reads to number of reads*/ 6 estd_physical_reads /*estimated number of physical reads for this cache size*/ 7* FROM V$DB_CACHE_ADVICE;

virtual void Dispose(bool disposing) { if (disposing) ~SampleClass (); // call destructor else !SampleClass(); // call the finalization function } private: ~SampleClass () { /* destructor code provided by the programmer*/ } !SampleClass () { /* finalization function provided by the programmer*/ } // other members not relevant here }

NAME SIZE_FOR_EST SIZE BUFF_FOR_EST PHYS_READ_FACT PHYS_READS -----------------------------------------------------------------DEFAULT 4 .1667 500 2.4000 4486 DEFAULT 8 .3333 1000 1.0696 1999 DEFAULT 12 .5000 1500 1.0435 1950 DEFAULT 16 .6667 2000 1.0000 1869 DEFAULT 20 .8333 2500 1.0000 1869 DEFAULT 24 1.000 3000 1.0000 1869 SQL> The V$SHARED_POOL_ADVICE view is similar to the V$DB_CACHE_ADVICE view, and it presents the estimated savings in parse time (in seconds) for a specified increase in the shared pool size. Thus, you can see the estimated impact of calibrating the size of the shared pool without having to change it. You can also use the V$SGA_TARGET_ADVICE view to estimate the SGA_TARGET size.

You ll probably find the V$LIBRARYCACHE view most useful when you have to deal with contention in the shared pool. The dictionary or the row cache usually doesn t give you any problems it s the library cache where most of the critical shared-memory problems occur. 22 shows you how to compute library-cache hit ratios using data from the V$LIBRARYCACHE view.

You saw the V$ROWCACHE view in 22 as part of the discussion of the data dictionary cache. The row cache, also known as the dictionary cache, captures all data dictionary activity. 22 also includes a formula for computing the data-dictionary hit ratio, which indicates if the sizing of the row cache is appropriate for your instance.

The fields are as follows: the process command, the indicator to track, a lower threshold, an upper threshold, and the kill option You can configure multiple processes by including several records in the configuration string..