Yes, that makes sense.  If you never have a warm cache then it's
probably disk seek time creating that latency, in which case there
isn't a whole lot you can do about it short of adding more capacity
(so at least it's cached at the OS level).

iostat -x could substantiate this guess.

On Thu, May 6, 2010 at 12:56 PM, Ran Tavory <ran...@gmail.com> wrote:
> Jonathan, I think it's the case of large values in the columns. The
> problematic CF is a key-value store, so it has only one column per row,
> however the value of that column can be large. It's a java serialized object
> (uncompressed) which, may be 100s of bytes, maybe even a few megs. This CF
> also suffers from zero cache hits since each time a read is for a unique
> key.
> I ran stress.py and I see much better results (reads are < 1ms) so I assume
> my cluster is healthy, so I need to fix the app. Would 1meg bytes object
> explain a 30ms (sometimes even more) read latency? The boxes aren't fancy,
> not sure exactly what hardware we have there but it's "commodity"...
> Thanks!
>
> On Thu, May 6, 2010 at 5:22 PM, Jonathan Ellis <jbel...@gmail.com> wrote:
>>
>> columns, not CFs.
>>
>> put another way, how wide are the rows in the slow CF?
>>
>> On Wed, May 5, 2010 at 11:30 PM, Ran Tavory <ran...@gmail.com> wrote:
>> > I have a few CFs but the one I'm seeing slowness in, which is the one
>> > with
>> > plenty of cache misses has only one column per key.
>> > Latency varies b/w 10m and 60ms but I'd say average is 30ms.
>> >
>> > On Thu, May 6, 2010 at 4:25 AM, Jonathan Ellis <jbel...@gmail.com>
>> > wrote:
>> >>
>> >> How many columns are in the rows you are reading from?
>> >>
>> >> 30ms is quite high, so I suspect you have relatively large rows, in
>> >> which case decreasing the column index threshold may help.
>>
>> --
>> Jonathan Ellis
>> Project Chair, Apache Cassandra
>> co-founder of Riptano, the source for professional Cassandra support
>> http://riptano.com
>
>



-- 
Jonathan Ellis
Project Chair, Apache Cassandra
co-founder of Riptano, the source for professional Cassandra support
http://riptano.com

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