I have a beast of a Dell server with the following specifications:

   - 4x Xeon E5-4657LV2 (48 cores total)
   - 196GB RAM
   - 2x SCSI 900GB in RAID1 (for the OS)
   - 8x Intel S3500 SSD 240GB in RAID10
   - H710p RAID controller, 1GB cache

Centos 6.6, RAID10 SSDs uses XFS (mkfs.xfs -i size=512 /dev/sdb).

Here are some relevant postgresql.conf settings:
shared_buffers = 8GB
work_mem = 64MB
maintenance_work_mem = 1GB
synchronous_commit = off
checkpoint_segments = 256
checkpoint_timeout = 10min
checkpoint_completion_target = 0.9
seq_page_cost = 1.0
effective_cache_size = 100GB

I ran some "fast" pgbench tests with 4, 6 and 8 drives in RAID10 and here
are the results:

time /usr/pgsql-9.1/bin/pgbench -U postgres -i -s 12000 pgbench # 292GB DB

4 drives6 drives8 drives105 min98 min94 min

/usr/pgsql-9.1/bin/pgbench -U postgres -c 96 -T 600 -N pgbench   # Write
test

4 drives6 drives8 drives656774278073

/usr/pgsql-9.1/bin/pgbench -U postgres -c 96 -T 600 pgbench  # Read/Write
test

4 drives6 drives8 drives365154747203

/usr/pgsql-9.1/bin/pgbench -U postgres -c 96 -T 600 -S pgbench  # Read test

4 drives6 drives8 drives176282548228698


A few notes:

   - I ran these tests only once, so take these number with reserve. I
   didn't have the time to run them more times, because I had to test how the
   server works with our app and it takes a considerable amount of time to run
   them all.
   - I wanted to use a bigger scale factor, but there is a bug in pgbench
   with big scale factors.
   - Postgres 9.1 was chosen, since the app which will run on this server
   uses 9.1.
   - These tests are with the H710p controller set to write-back (WB) and
   with adaptive read ahead (ADRA). I ran a few tests with write-through (WT)
   and no read ahead (NORA), but the results were worse.
   - All tests were run using 96 clients as recommended on the pgbench wiki
   page, but I'm sure I would get better results if I used 48 clients (1 for
   each core), which I tried with the R/W test and got 7986 on 8 drives, which
   is almost 800TPS better than with 96 clients.


Since our app is tied to the Postgres performance a lot, I'm currently
trying to optimize it. Do you have any suggestions what Postgres/system
settings I could try to tweak to increase performance? I have a feeling I
could get more performance out of this system.


Regards,
Strahinja

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