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The Shared pool becomes something that inhibits performance A common but misguided technique that many use to try to solve this issue is adding more space to the Shared pool, which typically only makes things worse than before As the Shared pool inevitably fills up once again, it gets to be even more of an overhead than the smaller Shared pool, for the simple reason that managing a big, full Shared pool takes more work than managing a smaller, full Shared pool The only true solution to this problem is to use shared SQL to reuse queries Earlier, in 1, we briefly looked at the parameter CURSOR_SHARING, which can work as a short-term.

When high-frequency events are detected, the associated code can be optimized on the fly through event-coalescing and other source code changes The changes can then be compiled just-in-time and subsequently used4 A number of experimental dynamic optimization systems have been proposed, including Tempo,5 Dynamo,6 and DynamoRIO7.

Unlike the SGA, the PGA memory allocation isn t immediately and permanently allocated to the Oracle database. Oracle is allowed to use PGA memory up to the limit specified by the PGA_TARGET parameter. Once a user s job finishes executing, the PGA memory used by the job is released back to the operating system. Therefore, you shouldn t hesitate to use a high value for the PGA_TARGET initialization parameter. There s absolutely no downside to using a high number, and it guarantees that your instance won t suffer unnecessary disk sorting and hashing.

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See if you can terminate a few of the top sessions that seem to be consuming inordinate amounts of memory. It s quite possible that some of these processes are orphan or runaway processes.

crutch in this area The only real way to solve this issue, however, is to use reusable SQL in the first place Even on the largest of large systems, I find that there are typically at most 10,000 to 20,000 unique SQL statements Most systems execute only a few hundred unique queries The following real-world example demonstrates just how bad things can get if you use the Shared pool poorly I was asked to work on a system where the standard operating procedure was to shut down the database each and every night, to wipe out the SGA and restart it clean The reason for doing this was that the system was having issues during the day whereby it was totally CPU-bound and, if the database were left to run for more than a day, performance would really start to decline.

If the redo logs are too few or if they are too small relative to the DML activity in the database, the archiver process will have to work extra hard to archive the filled redo log files. This may cause a slowdown in the instance. It s easy to resize the redo logs or add more redo log groups. When you use the FAST_START_MTTR_TARGET parameter to impose a ceiling on instance recovery time, Oracle will checkpoint as frequently as necessary to ensure the instance can recover from a crash within the MTTR setting. You must ensure that the redo logs are sized large enough to avoid additional checkpointing. You can get the optimal redo log size from the OPTIMAL_LOGFILE_SIZE column from the V$INSTANCE_RECOVERY view. You can also use the Database Control s Redo Log Groups page to get advice on sized redo logs. As a rule of thumb, Oracle recommends that you size the log files so they switch every 20 minutes.

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