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If the processes continue to grow in size, eventually they may hit some system memory barriers and fail with the ora 4030 error: $ oerr ora 4030 04030, 00000, "out of process memory when trying to allocate %s bytes (%s,%s)" // *Cause: Operating system process private memory has been exhausted $ Note that Oracle tech support may request that you collect a heap dump of the affected Oracle processes (using the oradebug tool) to fix the memory leak problem If your system runs out of swap space, the operating system can t continue to allocate any more virtual memory Processes fail when this happens, and the best way to get out of this mess is to see if you can quickly kill some of the processes that are using a heavy amount of virtual memory..

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0, we had three places to store cached blocks from individual segments in the SGA: Default pool: The location where all segment blocks are normally cached This is the original and previously only buffer pool Keep pool: An alternate buffer pool where by convention you would assign segments that were accessed fairly frequently, but still got aged out of the default buffer pool due to other segments needing space Recycle pool: An alternate buffer pool where by convention you would assign large segments that you access very randomly, and which would therefore cause excessive buffer flushing but would offer no benefit, because by the time you wanted the block again it would have been aged out of the cache You would separate these segments out from the segments in the Default and Keep pools so that they would not cause those blocks to age out of the cache.

Sometimes, database performance deteriorates dramatically because of inadequate shared pool memory. Low shared pool memory relative to the number of stored procedures and packages in your database could lead to objects constantly aging out of the shared pool and having to be executed repeatedly.

As you know by now, the Oracle cost-based optimizer (CBO) needs up-to-date statistics so it can pick the most efficient method of processing queries. If you re using the Automatic Optimizer Statistics Collection feature, Oracle will naturally keep optimizer statistics up to date for you without any

Figure 6-10. A simple Sequence diagram Interactions are between objects, not classes. The object names appear at the top of the diagram in a rectangle called the top box. The messages exchanged use arrows, and the shape of the arrowhead indicates how the message is delivered. Messages can be synchronous or asynchronous. Return values are shown using dashed lines. A solid arrowhead indicates a synchronous message, typically delivered as a method call. The return values also use a solid arrowhead and dashed line.

Note that in the Keep and Recycle pool descriptions I used the phrase by convention There is nothing in place to ensure that you use neither the Keep pool nor the Recycle pool in the fashion described In fact, the three pools manage blocks in a mostly identical fashion; they do not have radically different algorithms for aging or caching blocks The goal here was to give the DBA the ability to segregate segments to hot, warm, and do not care to cache areas The theory was that objects in the Default pool would be hot enough (ie, used enough) to warrant staying in the cache all by themselves The cache would keep them in memory since they were very popular blocks You might have had some segments that were fairly popular, but not really hot; these would be considered the warm blocks.

effort on your part. However, if you have deactivated the automatic statistics collection process, you could run the risk of not providing representative statistics to the CBO. If you don t collect statistics regularly while lots of new data is being inserted into tables, your old statistics will soon be out of date, and the performance of critical SQL queries could head south. DBAs are under time constraints to collect statistics overnight or over a weekend. Sometimes, they may be tempted to use a small sample size while using the DBMS_STATS package to collect statistics. This could lead to unreliable statistics, resulting in the slowing down of query processing.

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