PostgreSQL In Memory Database

I want to run my PostgreSQL database server from memory. The reason is that on my new server, I have 24 GB of memory, and hardly any of it is used.

I know I can run this command to make a ramdisk:

mdmfs -s 1024m md2 /mnt

And I could theoretically have PostgreSQL store its data there. But the problem with this is that if the server crashes or reboots, the data will be gone.

Basically, I want the database to be loaded in memory at all times so that it does not have to go to the hard disk drive to read every record, since I have TONS of memory and since memory is faster than hard disk drives.

Is there a way to do this while also having PostgreSQL write to disk so I don't lose any data in case the server goes down? Or is there a way to 开发者_StackOverflowcache all data in memory?

I'm now using streaming replication which is async. This means my MASTER could be running all in memory, with the separate SLAVE instance using traditional disk.

A machine restart would involve stopping the SLAVE, copying the postgresql data back into ramdisk and then restarting the MASTER followed by the SLAVE. This would be an interesting possibility which compares well with something like REDIS, but with the advantage of redundancy / hotstandby / backup / sql / rich toolset etc.

have you seen the Server Configuration manual chapter? check it out, then google postgresql memory tuning.

I have to believe that Postgres is written in such a way as to take full advantage of available RAM in the server. As you may have guessed by now, there's no reliable way to do this outside of Postgres.

Within Postgres, transactions assure that all operations are atomic, so if the power goes down while you are writing to a Postgres database, you will only lose that particular operation, and not the entire database.

The answer is caching. Look into adding memory to the server, then tuning PostgreSQL to maximize memory usage. Also, the file system cache will help with this, doing some of it automatically. You will be able to speed up performance, almost as if it were in memory except for the first hit, while not having to manage it yourself, and being able to have a database larger than the physical memory.