parameters in pg_conf

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От Ram Ravichandran
Тема parameters in pg_conf
Дата
Msg-id c8cd6fbb0807081245u216a17ebja85049c933d7f6f@mail.gmail.com
обсуждение исходный текст
Список pgsql-novice
Hi,

I was going through the various performance tweaking documents pointed out by various people on this mailing list last month. I was hoping I could do a quick spot-check, and get your expert opinion.

SPECS

This is for a new web application. Currently I have one  quad-core 2.5Ghz xeon 5420, 8GB RAM with 2x 73GB 15K SCSI drives in a battery-backed RAID 1.  My target DB size will be around 10GB. The server hosts postgresql + application server (Rails) + web server (NGinx) + MemcacheD . I expect to see really high usage for about 5 - 7 hours a day (same time every day).

From benchmarking with test data (that I am not sure will reflect real life scenario), the application server + nginx demands about 2GB of memory. So I think I will have about 4 - 5 GB of working memory for Postgresql + OS. My FS is ext3 with noatime and writeback cache enabled. My understanding is that writeback is okay since I have a battery-backed raid controller.

CONF Settings

Looking through [1 - 4], I set the following non-default parameters in my conf file:

---------------
max_connections = 50
shared_buffers = 1GB                   # 25% of 4GB remaining memory 
work_mem = 2MB
maintenance_work_mem = 128MB
checkpoint_segments = 8              
wal_buffers = 1MB 
effective_cache_size = 2GB
random_page_cost = 2.5    
----------------

Questions:

1. Should I turn autovacuum off and run them nightly since I have a peak usage for a few hours a day?
2. Since I have a battery-backed raid controller, is it safe to turn fsync off? Is this done in practice? What is the average increase in performance?
3. [1] says "
cpu_* = multiply all by .2" I am not sure what that means. Does that mean that I should set them to 0.2 or multiply the defaults by 0.2?
Any suggestions given my current setup?
4. Does the random_page_cost of 2.5 seem reasonable for my setup?


Thanks a lot.

Ram


References

[1] "Performance Whack-a-Mole" Tutorial PGCon 2007. Presentation
[2] http://www.powerpostgresql.com/PerfList
[3] http://www.westnet.com/~gsmith/content/postgresql/pg-5minute.htm
[4] http://www.revsys.com/writings/postgresql-performance.html





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