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Logical volume stripe sizes: Stripe size (or stripe width) is a function of the stripe depth and the number of drives in the striped set. If you stripe across multiple disks, your database s I/O performance will be higher and its load balancing will be enhanced. Make sure that the stripe size is larger than the average I/O request; otherwise, you ll be making multiple I/Os for a single I/O request by Oracle. If you have multiple concurrent I/O requests, your stripe size should be much larger than the I/O size. Most modern LVMs can dynamically reconfigure the stripe size. Number of controllers and disks: The number of spindles and the number of controllers are both important variables in determining disk performance. Even if you have a large number of spindles, you could conceivably run into contention at the controller level. Distribution of I/O: Your goal should be to avoid a lopsided distribution of I/O in your disk system. If you re using an LVM or using striping at the hardware level, you don t have a whole lot to worry about in this area. However, if you aren t using an LVM or using striping at the hardware level, you should manually arrange your datafiles on the disks such that the I/O rate is fairly even across the system. Note that your tables and indexes are usually required to be in different tablespaces, but there is no rule that they have to be placed on different disks. Because the index is read before the table, they can coexist on the same disk.

You have a choice of several excellent tools to measure I/O performance. Several operating system utilities are easy to use and give you information about how busy your disks are. Iostat and sar are two of the popular operating system utilities that measure disk performance. I explained how to use both these tools in 3.

3 4 5 6 7 8 9 10

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From the sar output, you can figure out whether you re using the storage subsystem heavily. If the number of waits is higher than the number of CPUs, or if the service times are high (say, greater than 20 milliseconds), then your system is facing contention at the I/O level. One of the most useful pieces of information you can get is by using the sar d command to find out if you re using any of your disks excessively compared to other disks in the system. Once you identify such hot spots, you can move the datafiles to less busy drives, thereby spreading the load more evenly. The following is the output of a sar d command that shows extremely high queue values. Even at peak levels, the avque column value should be less than 2. Here, it is 61.4. Obviously, something is happening on the file system named c2t6d0 that s showing up as a high queue value: $ sar -d 10 5 HP-UX finance1 B.11.00 A 9000/800 17:27:13 device %busy avque 17:27:23 c2t6d0 100 61.40 c5t6d0 20.38 0.50 c2t6d0 100 61.40 c5t6d0 18.28 0.50 c0t1d0 0.10 0.50 . . . $ 07/03/08 r+w/s blks/s 37 245 28 208 38 273 27 233 4 33

You can obtain an idea about the I/O distribution in your system by using the query in Listing 20-13.

procedure get_item( p_item in out item is begin select value(i) into p_item from item_table i where rownum <= 1; end get_item;

Listing 20-13. Determining I/O Distribution in the Database SQL> 2 3 4 5 6 7 8 9 10 11 12* SELECT d.name, f.phyrds reads, f.phywrts wrts, (f.readtim / decode(f.phyrds,0,-1,f.phyrds)) readtime, (f.writetim / decode(f.phywrts,0,-1,phywrts)) writetime FROM v$datafile d, v$filestat f WHERE d.file# = f.file# ORDER BY d.name; WRTS ---9 7 READTIME ---------.608695652 .277777778 WRITETIME ---------.222222222 0

NAME READS ----------------------------- ----/pa01/oradata/pa/lol_i_17.dbf 23 /pa01/oradata/pa/lol_i_18.dbf 18 . . . SQL>

Excessive reads and writes on some disks indicate that there might be disk contention in your I/O system.

The procedure get_items() simply returns a ref cursor to all rows in the object table item_table. This form of procedure that returns a ref cursor works with the CallableStatement and Struct interfaces. Note that since the only column of the object table is an object, we need to use the in-built function value() to extract the object from the row: 11 12 13 14 15 16 17 procedure get_items( p_items out sys_refcursor is begin open p_items for select value(c) from item_table c; end get_items; )

If there s severe I/O contention in your system, you can undertake some of the following steps, depending on your present database configuration: Increase the number of disks in the storage system. Separate the database and the redo log files. For a large table, use partitions to reduce I/O. Stripe the data either manually or by using a RAID disk-striping system. Invest in cutting-edge technology, such as file caching, to avoid I/O bottlenecks. Consider using the new Automatic Storage Management system, which is discussed in 17.

Oracle provides you with the Stripe and Mirror Everything (SAME) guidelines for optimal disk usage. This methodology advocates striping all files across all disks and mirroring all data to achieve a simple, efficient, and highly available disk configuration. Striping across all the available disks aims to spread the load evenly and avoid hot spots. The SAME methodology also recommends placing frequently accessed data on the outer half of the disks. The goal of the SAME disk storage strategy is to eliminate I/O hot spots and maximize I/O bandwidth.

commands, one per line. End with CNTL/Z. authentication-key 22 md5 Apress_key authenticate trusted-key 22 source serial0 server 172.16.21.1 key 22

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