R package for working with .rrd files. Uses librrd to import the binary data directly into R without exporting it to an intermediate format first.

#Installation In order to build the package from source you need librrd.
Installing rrdtool from your package manager will usually also install the library.

In the parent directory of Rrd:

R CMD build Rrd
R CMD check Rrd
sudo R CMD INSTALL Rrd

#Usage

In R:

library(Rrd)

##importRRD(filename, consolidation function, start, end, step) Finds the RRA that best matches the consolidation function and the step and imports all values (from all data stores) in that RRA that are between timestamp start and end. start is not included in the result.

rra = importRRD("filename.rrd", "AVERAGE", 1402144275, 1402144410, 15)

Returns a data.frame object having the timestamp and the data stores as columns. The data store names are retrieved from the RRD file and set as the corresponding column names. The timestamps are also used as row names.

head(rra)

            timestamp sum num
1402144275 1402144275   0   0
1402144290 1402144290   0   0
1402144305 1402144305   0   0
1402144320 1402144320   0   0
1402144335 1402144335   0   0
1402144350 1402144350   0   0

##importRRD(filename) Retrieves the metadata from the RRD file and imports all values from this file - each RRA, each data store, from the first to the last timestamp.

rrd = importRRD("filename.rrd")

Returns a list of data.frames (as above) with labels constructed as "consolidation function" + "step" - e.g. "AVERAGE15".

head(rrd$AVERAGE15)

            timestamp sum num
1402144275 1402144275   0   0
1402144290 1402144290   0   0
1402144305 1402144305   0   0
1402144320 1402144320   0   0
1402144335 1402144335   0   0
1402144350 1402144350   0   0

##getVal(filename, consolidation function, step, timestamp)

Returns a data.frame row associated with a certain timestamp. Reads small "chunks" of the RRA (see the rrd.cacheBlock constant in source code) and uses a package-wide read-ahead cache implemented as an environment object. The timestamp and step arguments are also used to calculate the row index in the cache to ensure fast indexing (as opposed to looking up by row name, which is known to be much slower in R).

getVal("filename", "AVERAGE", 15, 1402231740)

            timestamp sum num
1402231740 1402231740   0   0


rrd.cache$`filenameAVERAGE15`

For more information on rrdtool and the rrd format please refer to the official rrdtool documentation and tutorials.