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CHAPTER 22 PERFORMANCE TUNING: TUNING THE INSTANCE
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Improving SQL statements is something that can t happen right away, so you need to do other things to help matters in this case. This means you need to increase the I/O bandwidth by doing either or both of the following: Make sure that the key database objects that are used heavily are spread evenly on the disks. Increase the number of disks. Storage disks are getting larger and larger, but the I/O rates aren t quite keeping up with the increased disk sizes. Thus, servers are frequently I/O bound in environments with large databases. Innovative techniques such as file caching might be one solution to a serious I/O bottleneck. On average, about 50 percent of I/O activity involves less than 5 percent of the total data files in your database, so caching this limited number of hot files should be a win. Caching gives you the benefit of read/write operations at memory speeds, which could be 200 times faster than disk speed. You can include your temp, redo log, and undo tablespace files, as well as the most frequently used table and index data files on file cache accelerators. It s possible for large segments to waste a lot of disk space due to fragmentation caused by update and delete operations over time. This space fragmentation could cause severe performance degradation. You can use the Segment Advisor to find out which objects are candidates for a space reclamation exercise due to excessive fragmentation within the segment.
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If you have baseline numbers for the database load, you can see if the current load on the database is relatively too high. Pay attention to the following data, which you can obtain from the V$SYSSTAT view: physical reads and writes, redo size, hard and soft parse counts, and user calls. You can also check the Load Profile section of the AWR report for load data that s normalized over transactions and over time.
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As you saw earlier in this chapter, high buffer cache and shared pool hit ratios aren t guarantees of efficient instance performance. Sometimes, an excessive preoccupation with hit ratios can lead you to allocate too much memory to Oracle, which opens the door to serious problems such as paging and swapping at the operating-system level. Make sure that the paging and swapping indicators don t show anything abnormal. High amounts of paging and swapping slow down everything, including the databases on the server. Due to the virtual memory system used by most operating systems, a certain amount of paging is normal and to be expected. If physical memory isn t enough to process the demand for memory, the operating system will go to the disk to use its virtual memory, and this results in a page fault. Processes that result in high page faults are going to run slowly. When it comes to Oracle memory allocation, don t forget to pay proper attention to PGA memory allocation, especially if you re dealing with a DSS-type environment. Databases that perform a large number of heavy sorting and hashing activities need a high amount of PGA memory allocation. The database self-tunes the PGA, but you still have to ensure that the pga_aggregate_target value is high enough for Oracle to perform its magic.
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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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