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RAID 5
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Striped set with parity Data is split evenly between multiple disks using striping However, an additional bit is added to the end of each written data block, called the parity bit The parity bit is used to rebuild any of the other data disks if they fail Data is split between a mirrored set of two or more striped disks
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RAID 0+1 Striped mirrored set
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Table 2-1 Common Server RAID Levels
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The RAID 5 level attempts to lessen the impact by writing a parity bit for each block of data striped across the disks The thing that slows RAID 5 down is that the parity bit must be computed for each data write, but it is still faster than RAID 1 RAID 0+1 attempts to take the best of both the RAID 0 and RAID 1 worlds By using the RAID 0 striping of data across multiple disks, read and write speeds are improved By using RAID 1 mirroring of the striped disks, if one disk goes bad, you still have the mirrored set to recover from The increased speed of the RAID 0 system helps offset the RAID 1 slowness RAID 5 is the most common fault-tolerance method implemented by server manufactures In RAID 5 systems having fewer than six disks, the overhead in writing the parity bit becomes a larger factor It has been shown that this overhead is lessened in systems that have six or more disks In most tests, the RAID 1+0 level has proven to be the most efficient method for database servers This level provides basic data security, while providing minimal delays in data reading and writing As a final warning, be careful about how the RAID technology is implemented on your server Most RAID configurations are built into the SCSI disk controllers themselves The RAID functions are performed at a hardware level, providing minimal overhead for disk operations Unfortunately, the Windows Disk Management tool allows you to emulate RAID technology within the operating system software itself, using standard
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hard drives (even using EIDE drives) Although Windows allows you to create RAID configurations on standard disks, this provides a huge overhead for accessing data on the disk Avoid this feature, especially for large servers where you expect lots of database traffic
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RAM Performance
PostgreSQL attempts to use as much memory as possible when processing data transactions PostgreSQL loads as much of a data table into memory as possible when processing transactions If you have your data divided into lots of small tables, PostgreSQL must swap tables in and out of memory for each transaction This requires fast memory speeds to keep up with the transactions If you have your data placed in large tables, PostgreSQL will attempt to load as much of the table into memory as possible to speed up transactions This is where having lots of RAM available helps out The bottom line is that the more data you expect to have in your tables, the more memory you should try to install on your server PostgreSQL will operate to the best of its ability with the amount of RAM you have installed on your system You can just help it along if possible
CPU Performance
PostgreSQL is not too picky about CPU speeds and types At the time of this writing, the only CPU requirements PostgreSQL has are that the processor must be at least a Pentium III or later Intel processor (or equivalent) and that the processor must be a 32-bit series bus PostgreSQL has not been fully tested on 64-bit CPUs That does not mean that it will not run on a 64-bit system, just that the PostgreSQL developers have not fully tested and certified it on 64-bit systems If you are running a standard 32-bit CPU Windows system, you should not have any trouble getting PostgreSQL to run on your system
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