Once you gather the file I/O performance data, you can use it to adjust the system configuration to make the most efficient use of system resources.
If your database is using one file system on a striped volume, you may only need to pay attention to the file I/O activity statistics. If you have more than one file system, you may need to monitor volume I/O activity as well.
First, use the qiostat -r command to clear all existing statistics. After clearing the statistics, let the database run for a while during a typical database workload period. For example, if you are monitoring a database with many users, let the statistics accumulate for a few hours during prime working time before displaying the accumulated I/O statistics.
To display active file I/O statistics, use the qiostat command and specify an interval (using -i) for displaying the statistics for a period of time. This command displays a list of statistics such as:
OPERATIONS FILE BLOCKS AVG TIME(ms)
FILENAME READ WRITE READ WRITE READ WRITE
/db01/cust1 218 36 872 144 22.8 55.6
/db01/hist1 0 10 4 0.0 10.0
/db01/nord1 10 14 40 56 21.0 75.0
/db01/ord1 19 16 76 64 17.4 56.2
/db01/ordl1 189 41 756 164 21.1 50.0
/db01/roll1 0 50 0 200 0.0 49.0
/db01/stk1 1614 238 6456 952 19.3 46.5
/db01/sys1 0 00 0 0.0 0.0
/db01/temp1 0 00 0 0.0 0.0
/db01/ware1 3 14 12 56 23.3 44.3
/logs/log1 0 00 0 0.0 0.0
/logs/log2 0 217 0 2255 0.0 6.8
File I/O statistics help identify files with an unusually large number of operations or excessive read or write times. When this happens, try moving the "hot" files or busy file systems to different disks or changing the layout to balance the I/O load.
Mon May 11 16:21:20 2015
/db/dbfile01 813 0 813 0 0.3 0.0
/db/dbfile02 0 813 0 813 0.0 5.5
Mon May 11 16:21:25 2015
/db/dbfile01 816 0 816 0 0.3 0.0
/db/dbfile02 0 816 0 816 0.0 5.3
Mon May 11 16:21:30 2015
/db/dbfile01 0 0 0 0 0.0 0.0
/db/dbfile02 0 0 0 0 0.0 0.0