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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;

The advice is presented in a graphical format, showing the trade-off between increasing the SGA and the reduction in DB time You can use the V$DB_CACHE_ADVICE view (use V$SGA_TARGET_ADVICE to size the SGA_TARGET size) to see how much you need to increase the buffer cache to lower the physical I/O by a certain amount Essentially, the output of the V$DB_CACHE_ADVICE view shows you how much you can increase your buffer cache memory before the gains in terms of a reduction in the amount of physical reads (estimated) are insignificant The Memory Advisor simulates the miss rates in the buffer cache for caches of different sizes In this sense, the Memory Advisor can keep you from throwing excess memory in a vain attempt at lowering the amount of physical reads in your system.

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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.

Oracle blocks used during a full table scan involving a large table are aged out of the buffer cache faster than Oracle blocks from small-table full scans or indexed access Oracle may decide to keep only part of the large table in the buffer cache to avoid having to flush out its entire buffer cache Thus, your buffer cache hit ratio would be artificially low if you were using several large-table full scans If your application involves many full table scans for some reason, increasing the buffer cache size isn t going to improve performance Some DBAs are obsessed about achieving a high cache hit ratio, such as 99 percent or so A high buffer cache hit ratio is no guarantee that your application response time and throughput will also be high.

number, while the secret key can be an alphanumeric string. Multiples of the ntp authentication-key and ntp trusted-key commands are allowed in Cisco configurations to facilitate redundant authenticated servers and/or peers. Listing 5-13 demonstrates the configuration of authentication on Cisco routers. Router1 is a client of Router4. The show ntp associations detail command at the end of the example illustrates that the synchronization exchanges between Router1 (client) and Router4 (NTP server that s configured as the local master ) are authenticated.

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.

If you have a large number of full table scans or if your database is more of a data warehouse than an OLTP system, your buffer cache may be well below 100 percent, and that s not a bad thing If your database consists of inefficient SQL, there will be an inordinately high number of logical reads, making the buffer cache hit ratio look good (say 9999 percent), but this may not mean your database is performing efficiently Please read the interesting article by Cary Millsap titled Why a 99%+ Database Buffer Cache Hit Ratio Is Not Ok (http:// wwwhotsoscom/e-library/abstractphp id=6) PHYSICAL_READS DB_BLOCK_GETS CONSISTENT_GETS HitRatio --------------- -------------- ----------------- ---------50587859 103275634 5924671178 991607779.

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