Re: [jopr-dev] reducing purge times
RT data could be a risk, but I'm not sure that as much about the
duration of storage as it is about how many apps its safe to watch.
I could see triming down defaults on that if it's show to help a
typical environment.
I really would not want trait or avail data to default to under 1 year.
These are both RLE and should not have huge amounts of data. Also,
with our recent enhancement to the current avail attachement I think
a large availability table will be less of a concern to UI performance.
Why are there 4.5M rows in our test infrastructure? Perhaps because
we bounce the heck out of it (unlike a typical real world environment)?
Avail information is important for historical analysis... don't purge
until necessary. (i'd like to see an alternative to purging it at all)
- Greg
----- "Joseph Marques" <jmarques(a)redhat.com> wrote:
I think the system should should function irrespective of what the
default purge intervals are and irrespective of how long the database
and/or all servers have been down (and thus how much backlog there is
to
purge / compress). it's nice to give users reasonable out-of-the-box
defaults for this things, but IMO the more pressing concern is really
http://jira.rhq-project.org/browse/RHQ-1355
to answer your question specifically, i would, as a user of a sys mgmt
tool, like to keep data forever (so that i can correlate changes to
data
over long periods of time to understand how my business is growing,
estimate future hardware needs, analyze the utilization of the virts
in
my enterprise, etc etc). 2nd to that, i'd like to keep data for as
long
as possible such that the monitoring tool still performs.
but without RHQ-1355 in place i think the following are reasonable
defaults:
RT data - on the one hand, i could see the benefit of mimicing
whatever
our purge intervals for measurements are (1 yr, i believe?) so that
the
monitor tab has consistency of data - i.e., i don't want to click on
one
tab and see data and click over to another tab and see missing data.
RT
data is very similar metric data in that way. however, RT differs
from
it because it's not gracefully compressed over time like measurement
data is. so, i'd probably want the RT purge interval to be equal to
however long we keep raw measurement data before compressing it - i
think that's 14 days?
Trait data - we could easily extend this to 1 year. traits change
very
infrequently, and many resources don't have any traits. so, we can
easily bump this way up without impacting the system.
Availability data - since this is run-length encoded, we *should* be
able to keep this data for a long time. i wouldn't think that we need
to set this to anything smaller than 31 days in order to keep the
system
performing.
John Mazzitelli wrote:
> [I've been neglecting to send my dev comments to this list, will try
> to remember to use this mailing list]
>
> Can I ask people to review this:
>
> http://jira.rhq-project.org/browse/RHQ-1119
> <mailto:jopr-dev@lists.jboss.org>
> I think we need to reduce our purge times.
> _______________________________________________
> jopr-dev mailing list
> jopr-dev(a)lists.jboss.org
> https://lists.jboss.org/mailman/listinfo/jopr-dev
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