Ok - so I guess that between 1400 and 3500 inserts per second is reasonably
good results -- we are going to continue working on our custom code but it
seems like we need a design that uses lots of row-keys and fewer column
family keys and is heavily threaded.
Thanks for your help in pointing out t
Right, that's what I meant, thanks for the correction.
On Fri, Mar 26, 2010 at 1:11 PM, Brandon Williams wrote:
> On Fri, Mar 26, 2010 at 3:08 PM, Scott White wrote:
>
>> Yep I believe those are inserts per second. Take the last line:
>>
>> "811653,1666,250"
>>
>> I believe that's telling you t
On Fri, Mar 26, 2010 at 3:08 PM, Scott White wrote:
> Yep I believe those are inserts per second. Take the last line:
>
> "811653,1666,250"
>
> I believe that's telling you that during that 10 second interval you did
> 1666 inserts but your overall insert rate is 811653/250 = 3246.612
> inserts/s
Yep I believe those are inserts per second. Take the last line:
"811653,1666,250"
I believe that's telling you that during that 10 second interval you did
1666 inserts but your overall insert rate is 811653/250 = 3246.612
inserts/sec.
Timeouts may be due to your machine(s) being fully saturated?
Ok I ran the stress test with out of box settings -- 50 threads and 1M row
inserts. It seems to get as high as 4400 ops per second and as low as 968.
Am I reading these correctly as inserts per second?
These are results below. But is also generates timeouts and failures in the
python code like
On Fri, Mar 26, 2010 at 10:45 AM, malcolm smith <
malsm...@treehousesystems.com> wrote:
> I've been getting a feel for the performance elements of Cassandra using
> version 0.51. I've done similar tests on HBase before, but Cassandra has
> some very appealing aspects that I would like to pursue.
I've been getting a feel for the performance elements of Cassandra using
version 0.51. I've done similar tests on HBase before, but Cassandra has
some very appealing aspects that I would like to pursue.
However I'm not seeing the what seems like the common level of performance
others are seeing.
