Hi,
so we are developing a system that computes profile of things that it observes.
The observation comes in form of events. Each thing that it observe has an id
and each thing has a set of subthings in it which has measurement of some kind.
Roughly there are about 500 subthings within each th
e.org/jira/browse/CASSANDRA-10270>,
> which was fixed in 2.2.2.
>
> Additionally, you may want to look into using leveled compaction
> (http://www.datastax.com/dev/blog/when-to-use-leveled-compaction
> <http://www.datastax.com/dev/blog/when-to-use-leveled-compaction>).
Compaction did not help too.
> On Oct 9, 2015, at 1:01 PM, Nazario Parsacala wrote:
>
> So I upgraded to 2.2.2 and change the compaction strategy from
> DateTieredCompactionStrategy to LeveledCompactionStrategy. But the problem
> still exists.
> At the start we were
Read 468 live and 0 tombstone cells [SharedPool-Worker-2] | 2015-10-09
16:44:11.329000 | 172.31.17.129 | 987011
RA
> <https://issues.apache.org/jira/browse/CASSANDRA>) with your schema, details
> on your data layout, and these traces?
>
> On Fri, Oct 9, 2015 at 3:47 PM, Nazario Parsacala <mailto:dodongj...@gmail.com>> wrote:
>
>
> So the trace is varying a lot. And does not
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So I have setup some test with Cassandra (with OCM). Though not very
impressed with the single read speeds , I have observed that it does scale
very well even with numerous number of concurrent readers .. However I have
observed that no matter what I do , I am somehow limitted to around 4 ms of
rea
