[Orca-users] working with mixed-column data sources...

[Cockcroft, Adrian]

The original idea for the file format was to have collated performance
metrics using a single timestamp, rather than trying to merge lots of
unsynchronized **stat tools output. The original name was percolator,
before Blair made it into orcallator and built the display components.
See

http://www.itworld.com/AppDev/1609/UIR960301perf/ for the original
description and
http://perfcap.blogspot.com/2005/10/sunworld-columns-at-itworld.html for
a list of info on similar topics.

So the ideal way to include a new metric is to add a column for it and
report it at the same frequency as everything else. You can convert
another logfile by counting its event rate, the same way as http access
logs are summarized into orca.

Adrian

-----Original Message-----
From: orca-users-bounces+acockcroft=ebay.com at orcaware.com
[mailto:orca-users-bounces+acockcroft=ebay.com at orcaware.com] On Behalf
Of Attila Mezei-Horvati
Sent: Tuesday, February 07, 2006 12:41 PM
To: David Michaels; Steven McPhillips
Cc: orca-users at orcaware.com
Subject: Re: [Orca-users] working with mixed-column data sources...

> However, if each recType has a new timestamp, it
> gets a bit more 
> complicated.  Orca (and, ultimately, RRD?) wants a
> full set of data for 
> each timestamp.  It will complain if some data is
> missing (unless you 
> substitute a default/baseline value for such gaps). 
> If some of your 
> timestamps are 'missing' data, or in other words, if
> your data sampling 
> for one period is scattered across multiple
> timestamps, the converter 
> would have to account for this somehow, such as by
> consolidating data 
> from neighboring timestamps into one until a full
> set is obtained, 
> throwing an exception if the timestamp discrepancy
> gets too big (e.g., 
> greater than the period specified).

Do you mean the log has to have consistent data
through all the interval periods?

For ex. having the interval set to 5 minutes, and
having in the log only 4 entries per hour (lets say
minutes: 5 10 35 55) the graph will be incorrect or
not built at all? Lets say I get a log entry like this
and with only 2-3 hours a day of activity.

If so, is there anybody who would know of a package
that could handle that?

thanks,
Attila

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