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Oracle maintains a least recently used (LRU) list of all free, pinned, and dirty buffers in memory It s the database writer process s job to write the dirty buffers back to disk to make sure there are free buffers available in the database buffer cache at all times To determine which dirty blocks get written to disk, Oracle uses a modified LRU algorithm, which ensures that only the most recently accessed data is retained in the buffer cache Writing data that isn t being currently requested to disk enhances the performance of the database The larger the buffer cache, the fewer the disk reads and writes needed and the better the performance of the database Therefore, properly sizing the buffer cache is very important for the proper performance of your database.

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Of course, simply assigning an extremely large buffer cache can hurt performance, because you may end up taking more memory than necessary and causing paging and swapping on your server..

set `cat /proc/loadavg` one_min=$1 five_min=$2 fifteen_min=$3 echo -n "Load Average:" for ave in $one_min $five_min $fifteen_min do int_ave=`echo $ave | cut -d. -f1` if [ $int_ave -lt 1 ] then echo -en " $green$ave$normal" elif [ $int_ave -ge 1 -a $int_ave -lt 5 ] then echo -en " $yellow$ave$normal" else echo -en " $red$ave$normal" fi done echo

Generally, a single default buffer cache is sufficient to serve the instance s memory needs Assigning the same database buffer cache for all the database objects may not be very efficient at times, because different objects and various types of data may have different requirements as to how long they should be retained in the data cache For example, table A may be accessed a hundred thousand times during a day, whereas table B may be accessed only twice during the same day Clearly, it makes sense here to retain table A in the buffer cache throughout the day, so as to increase the speed of access, while table B can be removed after each use, to conserve space in the cache Oracle gives you flexibility in the use of the buffer cache by allowing you to configure the database buffer cache into multiple buffer pools.

#pragma managed (push, off) int f() { int i = 1; return 1 / --i; } #pragma managed (pop) int main() { __try { f(); } __except(GetExceptionCode() == EXCEPTION_INT_DIVIDE_BY_ZERO EXCEPTION_EXECUTE_HANDLER : EXCEPTION_CONTINUE_SEARCH) { System::Console::WriteLine("Divide by zero exception"); } return 0; } This code shows the three parts of Win32 SEH: a try block, an exception filter, and an exception handler. When an exception is thrown in the try block, the exception filter is evaluated. This exception filter is an expression that is used to determine how the exception handling proceeds. If it returns EXCEPTION_EXECUTE_HANDLER, then the handler is executed. EXCEPTION_CONTINUE_SEARCH means that the exception is not handled and other filters on the call stack are checked. The IL code generated from the preceding C++/CLI code shows how main is separated into the try block, exception filter, and exception handler. .method assembly static int32 modopt([mscorlib]System.Runtime.CompilerServices.CallConvCdecl) main() cil managed { .maxstack 2 .locals (int32 filterResult) begin_: call int32 modopt([mscorlib]System.Runtime.CompilerServices.CallConvCdecl) f() pop leave return_ theFilter_: pop // GetExceptionCode() == EXCEPTION_INT_DIVIDE_BY_ZERO // EXCEPTION_EXECUTE_HANDLER :

A buffer pool in this context is simply a part of the total buffer cache that is subject to different retention criteria for database objects like tables For example, you can take a total buffer cache of 500MB and divide it into three pools, with 200MB in the first two pools and 100MB in the third Once you have created separate buffer pools, you can assign a table exclusively to that buffer pool when you create that table You can also use the ALTER TABLE or ALTER INDEX command to modify the type of buffer pool that a table or index should use Table 4-2 lists the main types of buffer pools that you can configure.