Yes my KeysCachedFraction is already 0.3 but it doesn't relief the disk i/o. I compacted the data to be a 60GB (took quite a while to finish and it increased latency as expected) one but doesn't help much either.
If I set KCF to 1 (meaning to cache all sstable index), how much memory will it take for 50mil keys? Is the index a straight key-offset map? I guess key is 16 bytes and offset is 8 bytes. Will KCF=1 help to reduce disk i/o?
Have you tried increasing KeysCachedFraction?
On Tue, Feb 16, 2010 at 6:15 PM, Weijun Li <email@example.com> wrote:
> Still have high read latency with 50mil records in the 2-node cluster
> (replica 2). I restarted both nodes but read latency is still above 60ms and
> disk i/o saturation is high. Tried compact and repair but doesn't help much.
> When I reduced the client threads from 15 to 5 it looks a lot better but
> throughput is kind of low. I changed using flushing thread of 16 instead the
> defaulted 8, could that cause the disk saturation issue?
> For benchmark with decent throughput and latency, how many client threads do
> they use? Can anyone share your storage-conf.xml in well-tuned high volume
> On Tue, Feb 16, 2010 at 10:31 AM, Stu Hood <firstname.lastname@example.org> wrote:
>> > After I ran "nodeprobe compact" on node B its read latency went up to
>> > 150ms.
>> The compaction process can take a while to finish... in 0.5 you need to
>> watch the logs to figure out when it has actually finished, and then you
>> should start seeing the improvement in read latency.
>> > Is there any way to utilize all of the heap space to decrease the read
>> > latency?
>> In 0.5 you can adjust the number of keys that are cached by changing the
>> 'KeysCachedFraction' parameter in your config file. In 0.6 you can
>> additionally cache rows. You don't want to use up all of the memory on your
>> box for those caches though: you'll want to leave at least 50% for your OS's
>> disk cache, which will store the full row content.
>> -----Original Message-----
>> From: "Weijun Li" <email@example.com>
>> Sent: Tuesday, February 16, 2010 12:16pm
>> To: firstname.lastname@example.org
>> Subject: Re: Cassandra benchmark shows OK throughput but high read latency
>> (> 100ms)?
>> Thanks for for DataFileDirectory trick and I'll give a try.
>> Just noticed the impact of number of data files: node A has 13 data files
>> with read latency of 20ms and node B has 27 files with read latency of
>> After I ran "nodeprobe compact" on node B its read latency went up to
>> The read latency of node A became as low as 10ms. Is this normal behavior?
>> I'm using random partitioner and the hardware/JVM settings are exactly the
>> same for these two nodes.
>> Another problem is that Java heap usage is always 900mb out of 6GB? Is
>> any way to utilize all of the heap space to decrease the read latency?
>> On Tue, Feb 16, 2010 at 10:01 AM, Brandon Williams <email@example.com>
>> > On Tue, Feb 16, 2010 at 11:56 AM, Weijun Li <firstname.lastname@example.org> wrote:
>> >> One more thoughts about Martin's suggestion: is it possible to put the
>> >> data files into multiple directories that are located in different
>> >> physical
>> >> disks? This should help to improve the i/o bottleneck issue.
>> > Yes, you can already do this, just add more <DataFileDirectory>
>> > directives
>> > pointed at multiple drives.
>> >> Has anybody tested the row-caching feature in trunk (shoot for 0.6?)?
>> > Row cache and key cache both help tremendously if your read pattern has
>> > a
>> > decent repeat rate. Completely random io can only be so fast, however.
>> > -Brandon