Adrian Chadd wrote:
> 2009/8/4 Hery Setiawan <yellowhat89_at_gmail.com>:
>
>   
>> maybe in his mind (and my mind too actually), with big mem_cache the
>> file transfer will be transferred faster. But using that big for me
>> it's too much, since I only have 4GB of RAM and thousand workstation
>> connect with my squid.
>>     
>
> The squid memory cache doesn't work the way people seem to think it
> does. Once objects leave the memory cache pool they're out for good.
>
> The rule of thumb is quite simple - keep cache_mem large enough to
> handle in-transit objects and a few hot objects; leave the rest to be
> available for general operating system disk buffer caching. Only
> deviate from this if you absolutely, positively require it.
>
> This will occur when your workload has a lot of small objects which
> you frequently hit. Hack up or download something to generate a
> request size vs {hit rate, byte hit rate, service time, cumulative
> traffic} to see exactly how many tiny/small objects you're getting a
> hit off of.
>   
I recommend scalar.awk for this (http://scalar.risk.az/).  Sample report 
segment (which hopefully shows up in a fixed-width font...):
~~~ Objects Size Report 
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
---------|------ R E Q U E S T S  -------|----------- T R A F F I C 
-----------
  SIZE   |  total | misses |  hits  |hit%|   total  |  misses  |   
hits   |hit%
---------|--------|--------|--------|----|----------|----------|----------|----
  0-0.1KB  19.426K  18.505K     921    5% 249.893 KB 249.893 KB       0  
B   0%
0.1-1.0KB 248.507K 172.422K  76.085K  31% 123.209 MB  93.616 MB  29.593 
MB  24%
  1-5  KB 176.308K 156.113K  20.195K  11% 413.161 MB 364.980 MB  48.181 
MB  12%
  5-10 KB  51.447K  46.284K   5.163K  10% 352.742 MB 316.625 MB  36.117 
MB  10%
 10-50 KB  58.159K  49.855K   8.304K  14%   1.203 GB   1.032 GB 174.937 
MB  14%
 50-100KB   8.801K   7.656K   1.145K  13% 594.920 MB 516.522 MB  78.398 
MB  13%
100-500KB   6.747K   5.843K     904   13%   1.216 GB   1.066 GB 153.852 
MB  12%
0.5-1.0MB     710      654       56    8% 478.407 MB 440.962 MB  37.446 
MB   8%
  1-5  MB     558      498       60   11%   1.234 GB   1.105 GB 132.114 
MB  10%
  5-10 MB     137      126       11    8%   0.938 GB 883.506 MB  77.182 
MB   8%
 10-50 MB      96       73       23   24%   2.109 GB   1.417 GB 708.504 
MB  33%
 50-100MB      13        9        4   31% 813.873 MB 561.792 MB 252.082 
MB  31%
   >100MB      14       12        2   14%   4.650 GB   3.766 GB 905.610 
MB  19%
===============================================================================
> If you have a very small set of constantly "hot" traffic that will fit
> in memory, up cache_mem. But be aware of the performance repercussions
> if the "hot" traffic leaves cache_mem and stays on disk.. :)
>
> If you have a set of "hot" traffic that moves over time, upping
> cache_mem may not help.
>
> 2c,
>
>
>
> Adrian
>   
Chris
Received on Tue Aug 04 2009 - 22:16:37 MDT
This archive was generated by hypermail 2.2.0 : Wed Aug 05 2009 - 12:00:02 MDT