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Even after processes free up memory, the operating system may not take the memory back, indicating larger process sizes as a result.
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As a result of the problems you saw in the previous section, it s better to rely on Oracle itself for a true indication of its process memory usage. If you want to find out the total DATA or heap memory size (the biggest nonsharable process memory component), you can do so by using the following query: SQL> SELECT value, n.name|| '('||s.statistic#||')', sid FROM v$sesstat s, v$statname n WHERE s.statistic# = n.statistic# AND n.name like '%ga memory%' ORDER BY value; If you want to find out the total memory allocated to the PGA and UGA memory together, you can issue the command in the next example. The query reveals that a total of more than 367MB of memory is allocated to the processes. Note that this memory is in addition to the SGA memory allocation, so you need to make allowances for both types of memory to avoid paging and swapping issues.
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SQL> SELECT SUM(value) FROM V$SESSSTAT s, V$STATNAME n WHERE s.statistic# = n.statistic# AND n.name like '%ga memory%'; SUM(VALUE) --------------3674019536 1 row selected. SQL> If the query shows that the total session memory usage is growing abnormally over time, you might have a problem such as a memory leak. A telltale sign of a memory leak is when Oracle s memory usage is way outside the bounds of the memory you ve allocated to it through the initialization parameters. The Oracle processes are failing to return the memory to the operating system in this case. 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 whether you can quickly kill some of the processes that are using a heavy amount of virtual memory.
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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.
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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 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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