=head1 NAME rrdtool - round robin database tool =for html
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=head1 SYNOPSIS B B<-> | I =head1 DESCRIPTION =head2 OVERVIEW It is pretty easy to gather status information from all sorts of things, ranging from the temperature in your office to the number of octets which have passed through the FDDI interface of your router. But it is not so trivial to store this data in a efficient and systematic manner. This is where B kicks in. It lets you I the data you gather from all kinds of data-sources (B). The data analysis part of RRDTool is based on the ability to quickly generate graphical representations of the data values collected over a definable time period. In this man page you will find general information on the design and functionality of the Round Robin Database Tool (RRDTool). For a more detailed description of how to use the individual functions of the B check the corresponding man page. For an introduction to the usage of RRDTool make sure you check L. =head2 FUNCTIONS While the man pages talk of command line switches you have to set in order to make B work it is important to note that the B can be 'remote controlled' through a set of pipes. This saves a considerable amount of startup time when you plan to make B do a lot of things quickly. Check the section on L<"Remote Control"> further down. There is also a number of language bindings for RRDTool which allow you to use it directly from Perl, Python, Tcl, Php, ... =over 8 =item B Set up a new Round Robin Database (RRD). Check L. =item B Store new data values into an RRD. Check L. =item B Create a graph from data stored in one or several RRD. Apart from generating graphs, data can also be extracted to stdout. Check L. =item B Dump the contents of an RRD in plain ASCII. In connection with restore you can use it to transport an RRD from one architecture to another. Check L. =item B Restore an RRD in XML format to a binary RRD ... Check L =item B Get data for a certain time period from a RRD. The graph function uses fetch to retrieve its data from an RRD. Check L. =item B Alter setup of an RRD. Check L. =item B Find last update time of an RRD. Check L. =item B Display information about an RRD ... Check L =item B Change the size of individual RRAs ... Dangerous! Check L. =item B Export data retrieved from one or several RRD. Check L =item B This is a standalone tool for producing RRD graphs on the fly. Check L. =back =head2 HOW DOES RRDTOOL WORK? =over 8 =item Data acquisition When monitoring the state of a system, it is convenient to have the data available at a constant interval. Unfortunately you may not always be able to fetch data at exactly the time you want to. Therefore B lets you update the logfile at any time you want. It will automatically interpolate the value of the data-source (B) at the latest official time-slot and write this value to the log. The value you have supplied is stored as well and is also taken into account when interpolating the next log entry. =item Consolidation You may log data at a 1 minute interval, but you are also be interested to know the development of the data over the last year. You could do this by simply storing the data in 1 minute interval, for one year. While this would take considerable disk space it would also take a lot of time to analyze the data when you wanted to create a graph covering the whole year. B offers a solution to this problem through its data consolidation feature. When setting up an Round Robin Database (B), you can define at which interval this consolidation should occur, and what consolidation function (B) (average, minimum, maximum, last) should be used to build the consolidated values (see L). You can define any number of different consolidation setups within one B. They will all be maintained on the fly when new data is loaded into the B. =item Round Robin Archives Data values of the same consolidation setup are stored into Round Robin Archives (B). This is a very efficient manner to store data for a certain amount of time, while using a known amount of storage space. It works like this: If you want to store 1000 values in 5 minute interval, B will allocate space for 1000 data values and a header area. In the header it will store a pointer telling which one of the values in the storage area was last written to. New values are written to the Round Robin Archive in a ... you guess it ... round robin manner. This automatically limits the history to the last 1000 values. Because you can define several Bs within a single B, you can setup another one, storing 750 data values at a 2 hour interval and thus keeping a log for the last two months although at a lower resolution. The use of Bs guarantees that the B does not grow over time and that old data is automatically eliminated. By using the consolidation feature, you can still keep data for a very long time, while gradually reducing the resolution of the data along the time axis. Using different consolidation functions (B) allows you to store exactly the type of information that actually interests you. (Maximum one minute traffic on the LAN, minimum temperature of the wine cellar, total minutes down time ...) =item Unknown Data As mentioned earlier, the B stores data at a constant interval. Now it may happen that no new data is available when a value has to be written to the B. Data acquisition may not be possible for one reason or an other. The B handles these situations by storing an I<*UNKNOWN*> value into the database. The value 'I<*UNKNOWN*>' is supported through all the functions of the database. When consolidating the amount of I<*UNKNOWN*> data is accumulated and when a new consolidated value is ready to be written to its Round Robin Archive (B) a validity check is performed to make sure that the percentage of unknown data in the new value is below a configurable level. If so, an I<*UNKNOWN*> value will be written to the B. =item Graphing The B also allows one to generate reports in numerical and graphical form based on the data stored in one or several Bs. The graphing feature is fully configurable. Size, color and contents of the graph can be defined freely. Check L for more information on this. =back =head2 REMOTE CONTROL When you start B with the command line option 'B<->', it waits for input via standard in. With this feature you can improve performance by attaching B to another process (MRTG is one example) through a set of pipes. Over the pipes B accepts the same arguments as on the command line. When a command is completed, RRDTool will print the string 'C', followed by timing information of the form BI BI both values are running totals of seconds since RRDTool was started. If an error occurs, a line of the form 'C I' will be printed. B will not abort if possible, but follow the ERROR line with an OK line. =head1 SEE ALSO rrdcreate, rrdupdate, rrdgraph, rrddump, rrdfetch, rrdtune, rrdlast, rrdxport =head1 BUGS Bugs ? Features ! =head1 AUTHOR Tobias Oetiker