Re: New Linux xfs/reiser file systems - Mailing list pgsql-hackers
From | Joe Conway |
---|---|
Subject | Re: New Linux xfs/reiser file systems |
Date | |
Msg-id | 00af01c0d784$9e905d50$0205a8c0@jecw2k1 Whole thread Raw |
In response to | New Linux xfs/reiser file systems (Bruce Momjian <pgman@candle.pha.pa.us>) |
List | pgsql-hackers |
> I don't mind contributing the script and schema that I used, but one thing I > failed to mention in my first post is that the first thing the script does > is open connections to 256 databases (all on this same machine), and the > transactions are relatively evenly dispersed among the 256 connections. The > test was originally written to try out an idea to allow scalability by > partitioning the data into seperate databases (which could eventually each > live on its own server). If you are interested I can modify the test to use > only one database and rerun the same tests this weekend. > I modified my test script to use just one (instead of 256) databases to be more representative of a common installation. Then I ran more tests under both ext2 and reiserfs. The summary follows. Short answer is that the differences are much smaller than under the first test, but ext2 is still faster. -- Joe case rfs_fdatasync ext_fdatasync rfs_fdatasync ext_fdatasync rfs_fdatasync ext_fdatasync fstab sync,noatime sync,noatime noatime noatime defaults defaults starting # tup 70k 70k 70k 70k 70k 70k total time (min) 12.10 11.77 11.83 11.43 11.88 11.42 cpu util % 90-94% 95-98% 90-95% 95-99% 90-95% 95-99% ram - stable cpu 42M 42M 42M 42M 42M 42M ram - final 52M 52M 52M 52M 52M 52M avg trans/sec 10000 tup 13.77 14.16 14.08 14.58 14.03 14.60 5000 tup 13.70 14.08 13.97 14.71 13.93 14.75 1000 tup 11.36 11.63 11.63 13.33 11.63 13.51 Notes: 1. rfs_fdatasync: data and wal on rieserfs with wal_sync_method = fdatasync 2. ext_fdatasync: data and wal on ext2 with wal_sync_method = fdatasync 3. starting # tup: the database was pre-seeded with 70k tuples. I made a tarball of the starting database and refreshed the pgsql/data filestructure before each test to ensure a good comparison. 4. cpu utilization + ram - stable cpu + ram - final: I eyeballed top while the test was running. In general cpu % increased steadily through the first 1500 or so transactions, along with ram usage. At the point when cpu utilization stabilized, ram was pretty consistently at 42M. From there, cpu util % varied in the ranges noted, while ram usage slowly increased to 52M. It seemed pretty linear in that I could estimate the number of transactions already processes based on ram usage. 5. avg trans/sec: These represent the total transactions/total elapsed time at the given number of transactions (as opposed to some instantaneous value at that point in time).
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