Performance of archive logging in a PITR restore

First of all, I did pose this question first on the pgsql - admin mailing
list.

And I know it is not appreciated to post across multiple mailing lists so I

Apologize in advance. I do not make it a practice to do so but, this being

A performance issue I think I should have inquired on this list first. Rest

Assured I won't double post again.

The issue is that during a restore on a remote site, (Postgres 8.2.5)

archived logs are taking an average of 35 - 40 seconds apiece to restore.

This is roughly the same speed that they are being archived on the
production

Site. I compress the logs when I copy them over, then uncompress them

During the restore using a cat | gzip -dc command. I don't think

The bottleneck is in that command - a log typically is uncompressed and
copied

In less than 2 seconds when I do this manually. Also when I pass a log

That is already uncompressed the performance improves by only about 10
percent.

A log compresses (using) gzip down to between 5.5 and 6.5 MB.

I have attempted Increases in shared_buffers (250MB to 1500MB).

Other relevant (I think) config parameters include:

Maintenance_work_mem (300MB)

Work_mem (75MB)

Wal_buffers (48)

Checkpoint_segments (32)

Autovacuum (off)

ipcs -l

------ Shared Memory Limits --------

max number of segments = 4096

max seg size (kbytes) = 4194303

max total shared memory (kbytes) = 1073741824

min seg size (bytes) = 1

------ Semaphore Limits --------

max number of arrays = 128

max semaphores per array = 250

max semaphores system wide = 32000

max ops per semop call = 32

semaphore max value = 32767

------ Messages: Limits --------

max queues system wide = 16

max size of message (bytes) = 65536

default max size of queue (bytes) = 65536

Our database size is about 130 GB. We use tar

To backup the file structure. Takes roughly about

An hour to xtract the tarball before PITR log recovery

Begins. The tarball itself 31GB compressed.

Again I apologize for the annoying double posting but

I am pretty much out of ideas to make this work.

Mark Steben│Database Administrator│

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