RRDTUNE man page on RedHat

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RRDTUNE(1)			    rrdtool			    RRDTUNE(1)

NAME
       rrdtune - Modify some basic properties of a Round Robin Database

SYNOPSIS
       rrdtool tune filename [--heartbeat|-h ds-name:heartbeat]
       [--minimum|-i ds-name:min] [--maximum|-a ds-name:max]
       [--data-source-type|-d ds-name:DST] [--data-source-rename|-r old-
       name:new-name] [--deltapos scale-value] [--deltaneg scale-value]
       [--failure-threshold failure-threshold] [--window-length window-length]
       [--alpha adaption-parameter] [--beta adaption-parameter]
       [--gamma adaption-parameter] [--gamma-deviation adaption-parameter]
       [--smoothing-window fraction-of-season]
       [--smoothing-window-deviation fraction-of-season] [--aberrant-reset ds-
       name]

DESCRIPTION
       The tune option allows you to alter some of the basic configuration
       values stored in the header area of a Round Robin Database (RRD).

       One application of the tune function is to relax the validation rules
       on an RRD. This allows to fill a new RRD with data available in larger
       intervals than what you would normally want to permit. Be very careful
       with tune operations for COMPUTE data sources.  Setting the min, max,
       and  heartbeat for a COMPUTE data source without changing the data
       source type to a non-COMPUTE DST WILL corrupt the data source header in
       the RRD.

       A second application of the tune function is to set or alter parameters
       used by the specialized function RRAs for aberrant behavior detection.

       filename
	       The name of the RRD you want to tune.

       --heartbeat|-h ds-name:heartbeat
	       modify the heartbeat of a data source. By setting this to a
	       high value the RRD will accept things like one value per day.

       --minimum|-i ds-name:min
	       alter the minimum value acceptable as input from the data
	       source.	Setting min to 'U' will disable this limit.

       --maximum|-a ds-name:max
	       alter the maximum value acceptable as input from the data
	       source.	Setting max to 'U' will disable this limit.

       --data-source-type|-d ds-name:DST
	       alter the type DST of a data source.

       --data-source-rename|-r old-name:new-name
	       rename a data source.

       --deltapos scale-value
	       Alter the deviation scaling factor for the upper bound of the
	       confidence band used internally to calculate violations for the
	       FAILURES RRA. The default value is 2. Note that this parameter
	       is not related to graphing confidence bounds which must be
	       specified as a CDEF argument to generate a graph with
	       confidence bounds. The graph scale factor need not to agree
	       with the value used internally by the FAILURES RRA.

       --deltaneg scale-value
	       Alter the deviation scaling factor for the lower bound of the
	       confidence band used internally to calculate violations for the
	       FAILURES RRA. The default value is 2. As with --deltapos, this
	       argument is unrelated to the scale factor chosen when graphing
	       confidence bounds.

       --failure-threshold failure-threshold
	       Alter the number of confidence bound violations that constitute
	       a failure for purposes of the FAILURES RRA. This must be an
	       integer less than or equal to the window length of the FAILURES
	       RRA. This restriction is not verified by the tune option, so
	       one can reset failure-threshold and window-length
	       simultaneously. Setting this option will reset the count of
	       violations to 0.

       --window-length window-length
	       Alter the number of time points in the temporal window for
	       determining failures. This must be an integer greater than or
	       equal to the window length of the FAILURES RRA and less than or
	       equal to 28. Setting this option will reset the count of
	       violations to 0.

       --alpha adaption-parameter
	       Alter the intercept adaptation parameter for the Holt-Winters
	       forecasting algorithm. This parameter must be between 0 and 1.

       --beta adaption-parameter
	       Alter the slope adaptation parameter for the Holt-Winters
	       forecasting algorithm. This parameter must be between 0 and 1.

       --gamma adaption-parameter
	       Alter the seasonal coefficient adaptation parameter for the
	       SEASONAL RRA. This parameter must be between 0 and 1.

       --gamma-deviation adaption-parameter
	       Alter the seasonal deviation adaptation parameter for the
	       DEVSEASONAL RRA. This parameter must be between 0 and 1.

       --smoothing-window fraction-of-season
	       Alter the size of the smoothing window for the SEASONAL RRA.
	       This must be between 0 and 1.

       --smoothing-window-deviation fraction-of-season
	       Alter the size of the smoothing window for the DEVSEASONAL RRA.
	       This must be between 0 and 1.

       --aberrant-reset ds-name
	       This option causes the aberrant behavior detection algorithm to
	       reset for the specified data source; that is, forget all it is
	       has learnt so far.  Specifically, for the HWPREDICT or
	       MHWPREDICT RRA, it sets the intercept and slope coefficients to
	       unknown. For the SEASONAL RRA, it sets all seasonal
	       coefficients to unknown. For the DEVSEASONAL RRA, it sets all
	       seasonal deviation coefficients to unknown. For the FAILURES
	       RRA, it erases the violation history. Note that reset does not
	       erase past predictions (the values of the HWPREDICT or
	       MHWPREDICT RRA), predicted deviations (the values of the
	       DEVPREDICT RRA), or failure history (the values of the FAILURES
	       RRA).  This option will function even if not all the listed
	       RRAs are present.

	       Due to the implementation of this option, there is an indirect
	       impact on other data sources in the RRD. A smoothing algorithm
	       is applied to SEASONAL and DEVSEASONAL values on a periodic
	       basis. During bootstrap initialization this smoothing is
	       deferred. For efficiency, the implementation of smoothing is
	       not data source specific. This means that utilizing reset for
	       one data source will delay running the smoothing algorithm for
	       all data sources in the file. This is unlikely to have serious
	       consequences, unless the data being collected for the non-reset
	       data sources is unusually volatile during the reinitialization
	       period of the reset data source.

	       Use of this tuning option is advised when the behavior of the
	       data source time series changes in a drastic and permanent
	       manner.

EXAMPLE 1
       "rrdtool tune data.rrd -h in:100000 -h out:100000 -h through:100000"

       Set the minimum required heartbeat for data sources 'in', 'out' and
       'through' to 10'000 seconds which is a little over one day in data.rrd.
       This would allow to feed old data from MRTG-2.0 right into RRDtool
       without generating *UNKNOWN* entries.

EXAMPLE 2
       "rrdtool tune monitor.rrd --window-length 5 --failure-threshold 3"

       If the FAILURES RRA is implicitly created, the default window-length is
       9 and the default failure-threshold is 7. This command now defines a
       failure as 3 or more violations in a temporal window of 5 time points.

AUTHOR
       Tobias Oetiker <tobi@oetiker.ch>

1.4.8				  2013-05-23			    RRDTUNE(1)
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