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Consistent gets: This is a read of the buffer cache, to retrieve a block in consistent mode This may include a read of undo segments to maintain the read consistency principle (see 8 for more information about read consistency) If Oracle finds that another session has updated the data in that block since the read began, then it will apply the new information from the undo segments Logical reads: Every time Oracle is able to satisfy a request for data by reading it from the database buffer cache, you get a logical read Thus logical reads include both DB block gets and consistent gets Buffer gets: This term refers to the number of database cache buffers retrieved This value is the same as the logical reads described earlier.

The following formula gives you the buffer cache hit ratio: 1 - ('physical reads cache') / ('consistent gets from cache' + 'db block gets from cache') You can use the following query to get the current values for all three necessary buffer cache statistics: SQL> SELECT name, value FROM v$sysstat WHERE where name IN ('physical reads cache', 'consistent gets from cache', 'db block gets from cache');.

This new diagram type was introduced with UML 2 and represents a specialization of Activity diagrams. An Interaction Overview is essentially an Activity diagram that also includes Sequence diagrams and Communication diagrams. The idea is to embed interaction occurrences in an Activity diagram, as shown in Figure 6-14.

NAME --------------------------db block gets from cache consistent gets from cache physical reads cache 3 rows selected. SQL>

VALUE ----------103264732 5924585423 50572618

The following calculation, based on the statistics I derived in the preceding code from the V$SYSSTAT view, show that the buffer cache hit ratio for my database is a little over 91 percent: 1 - (505726180)/(103264732 + 5924585494) = 916101734 As you can see from the formula for the buffer cache hit ratio, the lower the ratio of physical reads to the total logical reads, the higher the buffer cache hit ratio You can use the V$BUFFER_POOL_STATISTICS view, which lists all buffer pools for the instance, to derive the hit ratio for the buffer cache: SQL> SELECT NAME, PHYSICAL_READS, DB_BLOCK_GETS, CONSISTENT_GETS, 1 - (PHYSICAL_READS/(DB_BLOCK_GETS + CONSISTENT_GETS)) "HitRatio" FROM V$BUFFER_POOL_STATISTICS; NAME ------DEFAULT SQL> In addition, you can use the Database Control s Memory Advisor to get advice regarding the optimal buffer cache size.

Figure 6-14. An Interaction Overview diagram The diagram is similar to the one shown in Figure 6-9, with the Bill Customer and Ship Order activities replaced by two interaction occurrences that reference separate frames containing Sequence and Communication diagram fragments. The frame details are shown in Figure 6-15.

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.

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.

CustomerInfo Add Customer() Add Order()