The following statistic types are included in the
Statistics and Counters Reference
spreadsheet published after
release 20.0 to replace the original user document:
•
Incremental:
An incremental data type records incremental data cumulatively and rolls over when the
counter limit is reached.
•
All incremental statistics are cumulative and reset only by one of the following methods: roll-over
when the limit is reached, after a system restart, or after a clear command is performed.
•
The limit depends upon the data type.
•
Gauge:
A gauge statistic indicates a single value; a snapshot representation of a single point in time
within a defined time frame. The gauge changes to a new value with each snapshot though a value may
repeat from one period to the next. The limit depends upon the data type.
•
Primary-key:
This type of statistic provides information, often intended to differentiate sets of statistics;
for example, a VPN name or IP address. The type of information provided depends upon the data type.
Data Types
The data type defines the format of the data for the value provided by the statistic. The following data types
appear in the
Statistics and Counters Reference
and the output of the Exec mode
show bulkstats variables
command:
•
Int32:
A 32-bit integer; the roll-over to zero limit is 4,294,967,295.
•
Int64:
A 64-bit integer; the roll-over to zero limit is 18,446,744,073,709,551,615.
•
Float:
A numeric value that includes decimal points; for example, 1.345.
•
String:
A series of ASCII alphanumeric characters in a single grouping, usually pre-configured.
Key Variables
Every schema has some variables which are typically referred to as "key variables". These key variables
provide index markers to identify to which object the statistics apply. For example, in the card schema the
card number (variable %card%) uniquely identifies a card. For an HA service, the keys would be "%vpnname%"
plus "%servname%', as the combination uniquely identifies an HA service. So, in a given measurement interval,
one row of statistics will be generated per unique key.
There are also a number of common variables shared across schema that identify time, date, place, etc. These
common variables are identified in the table below.
Table 9: Common Variables Across Schema
Data Type
Statistic Type
Description
Variables
String
Information
Contains complete version information that can be used in the
header of the bulkstats file
version-no
Int32
Information
The total uptime (in seconds) of the system that created the file.
uptime
ASR 5000 System Administration Guide, StarOS Release 21.1
162
Bulk Statistics
Data Types
Summary of Contents for ASR 5000
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