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CHAPTER 22 PERFORMANCE TUNING: TUNING THE INSTANCE
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indicate that if you use AUM instead of traditional rollback segments, then two types of buffer busy waits, undo block and undo header, will go away. However, that s not the case in practice, as the following example from a database with AUM shows: CLASS COUNT ------------------ ---------undo header 29891 data block 52 segment header 1 Occasionally, you may have a situation where the buffer busy waits spike suddenly, seemingly for no reason. The sar utility (use the sar d option) might indicate high request queues and service times. This often happens when the disk controllers get saturated by a high amount of I/O. Usually, you see excessive core dumps during this time, and if core dumps are choking your I/O subsystem, do the following: Move your core dump directory to a less busy file system, where it resides by itself. Use the following init.ora or SPFILE parameters to control core dumps in your system. Setting these parameters values could reduce the size of a core dump to a few megabytes from a gigabyte or more: SHADOW_CORE_DUMP = PARTIAL /* or NONE */ BACKGROUND_CORE_DUMP = PARTIAL /* or NONE */ Investigate the core dumps and see if you can fix them by applying necessary Oracle and operating-system patch sets.
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The CHECKPOINT COMPLETED wait event means that a session is waiting for a checkpoint to complete. This could happen when you re shutting the database down or during normal checkpoints.
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Db File Scattered Read
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The db file scattered read wait event indicates that full table scans (or index fast full scans) are occurring in the database. The initialization parameter DB_FILE_MULTIBLOCK_READ_COUNT sets the number of blocks read at one time by Oracle. The database will automatically tune this parameter if you don t set any value for it in your parameter file. Although Oracle reads data in multiblock chunks, it scatters the data into noncontiguous cache buffers. If you don t have many full table scans and if they mainly consist of smaller tables, don t worry about it. However, if this event is showing up as an important wait event, you need to look at it as an I/O-related problem the database isn t able to cope with an excessive request for physical I/Os. There are two possible solutions. You can either reduce the demand for physical I/Os or increase the capacity of the system to handle more I/Os. You can reduce the demand for physical I/O by drilling down further to see if one of the following solutions will work. Raising the buffer cache component of the SGA would normally contribute to lowering physical I/Os. However, I m assuming that you re using automatic shared memory management by setting the SGA_TARGET initialization parameter, in which case your buffer cache is already optimally set by the database: Add missing indexes on key tables (unlikely in a production system). Optimize SQL statements if they aren t following an efficient execution plan. If you don t see any potential for reducing the demand for physical I/O, you re left with no choice but to increase the number of disks on your system. You also need to make sure you re reducing the hot spots in your system by carefully distributing the heavily hit tables and indexes
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CHAPTER 22 PERFORMANCE TUNING: TUNING THE INSTANCE
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across the available disks. You can identify the data files where the full table or index fast full scans are occurring with the help of a query using the V$FILESTAT view. In this view, two columns are of great use: Phyrds: The number of physical reads done Phyblkrd: The number of physical blocks read Obviously, the number of phyrds is equal to or close to the number of phyblkrds because almost all reads are single block reads. If the column phyrds shows a much smaller value than the phyblkrds column, Oracle is reading multiple blocks in one read a full table scan or an index fast full scan, for example. Here s a sample query on the V$FILESTAT view: SQL> SELECT file#, phyrds,phyblkrd 2 FROMV$FILESTAT 3* WHERE phyrds != phyblkrd; FILE# PHYRDS PHYBLKRD ---------- ---------- ---------1 4458 36533 7 67923 494433 15 28794 378676 16 53849 408981 SQL>
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