Re: Redundant file server for postgres
От | Craig Ringer |
---|---|
Тема | Re: Redundant file server for postgres |
Дата | |
Msg-id | 47DD67FF.5070005@postnewspapers.com.au обсуждение исходный текст |
Ответ на | Redundant file server for postgres ("Robert Powell" <bob@hotchkiss.org>) |
Ответы |
Re: Redundant file server for postgres
|
Список | pgsql-general |
Robert Powell wrote: > To whom it may concern, > > > > I'm looking for a file server that will give me a high level of > redundancy and high performance for a postgres database. For strong redundancy and availability you may need a secondary server and some sort of replication setup (be it a WAL-following warm spare, slony-I, or whatever). It depends on what you mean by "high". As for performance - I'm still learning on this myself, so treat the following as being of questionable accuracy. As far as I know the general rule for databases is "if in doubt, add more fast disks". A fast CPU (or depending on type of workload several almost-as-fast CPUs) will be nice, but if your database is big enough not to fit mostly in RAM you'll mostly be limited by disk I/O. To increase disk I/O performance, in general you want more disks. Faster disks will help, but probably not as much as just having more of them. More RAM is of course also nice, but might make a huge difference for some workloads and database types and relatively little for others. If doubling your RAM lets the server cache most of the database in RAM it'll probably speed things up a lot. If doubling the RAM is the difference between 2% and 4% of the DB in RAM ... it might not make such a difference (unless, of course, your queries mostly operate on a subset of your data that's fairly similar to your RAM size, you do lots of big joins, etc). Various RAID types also have implications for disk I/O. For example, RAID-5 tends to have miserable write performance. In the end, though, it depends a huge amount on your workload. Will you have huge numbers of simpler concurrent transactions, or relatively few heavy and complex ones? Will the database be read-mostly, or will it be written to very heavily? Vaguely how large is your expected dataset? Is all the data likely to be accessed with equal frequency or are most queries likely to concentrate on a small subset of the data? And so on... -- Craig Ringer
В списке pgsql-general по дате отправления: