Posts tagged computers

well this is slightly surprising, but in a very good way, and does lead to some interesting suggestions on how to best to improve matters, but look at the following graph of FAST ESP query latency:

Notice that the average latency drops as we use the server more . . . but WHY?
Well that’s just because we’re running the FAST indexes on a ZFS based file system and the L2 ARC cache is making it’s presence felt


# arcstat.pl
Time read miss miss% dmis dm% pmis pm% mmis mm% arcsz cur
11:25:52 13G 263M 1 158M 1 104M 15 44M 11 2G 2G
11:25:53 29K 103 0 97 0 6 2 2 15 2G 2G
11:25:54 10K 161 1 156 1 5 13 1 9 2G 2G
11:25:55 10K 197 1 174 1 23 18 3 50 2G 2G


Of course, I’d really like to try playing with a few Enterprise grade SSDs to supplement the L2 ARC – should be able to soak most of the “hot” data from SSD without going back to the spinning rust (admittedly the full index data set is only 80GB)

*patiently waits for Sun to get their fingers out*

Update
Using Ben Rockwood’s arc_summary.pl tool we get the following view into the ARC cache:

ARC Size:
         Current Size:             4659 MB (arcsize)
         Target Size (Adaptive):   4659 MB (c)
         Min Size (Hard Limit):    1023 MB (zfs_arc_min)
         Max Size (Hard Limit):    31735 MB (zfs_arc_max)

ARC Size Breakdown:
         Most Recently Used Cache Size:          29%    1393 MB (p)
         Most Frequently Used Cache Size:        70%    3266 MB (c-p)

ARC Efficency:
         Cache Access Total:             1464939081
         Cache Hit Ratio:      91%       1342983472     [Defined State for buffer]
         Cache Miss Ratio:      8%       121955609      [Undefined State for Buffer]
         REAL Hit Ratio:       78%       1146170142     [MRU/MFU Hits Only]

         Data Demand   Efficiency:    91%
         Data Prefetch Efficiency:    86%

        CACHE HITS BY CACHE LIST:
          Anon:                       10%        142482495              [ New Customer, First Cache Hit ]
          Most Recently Used:          5%        74249410 (mru)         [ Return Customer ]
          Most Frequently Used:       79%        1071920732 (mfu)       [ Frequent Customer ]
          Most Recently Used Ghost:    1%        19996413 (mru_ghost)   [ Return Customer Evicted, Now Back ]
          Most Frequently Used Ghost:  2%        34334422 (mfu_ghost)   [ Frequent Customer Evicted, Now Back ]
        CACHE HITS BY DATA TYPE:
          Demand Data:                53%        712758575
          Prefetch Data:              17%        241164086
          Demand Metadata:            20%        280805976
          Prefetch Metadata:           8%        108254835
        CACHE MISSES BY DATA TYPE:
          Demand Data:                52%        64233340
          Prefetch Data:              30%        36667246
          Demand Metadata:            15%        19272211
          Prefetch Metadata:           1%        1782812