Zabbix Documentation 4.0

3.04.04.4 (current)| In development:5.0 (devel)| Unsupported:1.82.02.22.43.23.44.2Guidelines

User Tools

Site Tools


manual:config:items:history_and_trends

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
manual:config:items:history_and_trends [2019/11/14 12:51]
viktors.tjarve [Keeping history] rephrased information according to changes in UI
manual:config:items:history_and_trends [2019/11/14 12:55] (current)
viktors.tjarve [Keeping trends] rephrased information according to changes in UI
Line 31: Line 31:
 Trends is a built-in historical data reduction mechanism which stores minimum, maximum, average and the total number of values per every hour for numeric data types. ​ Trends is a built-in historical data reduction mechanism which stores minimum, maximum, average and the total number of values per every hour for numeric data types. ​
  
-You can set for how many days trends will be kept: +You can set the storage period ​for how long the trends will be kept:
   * in the item properties [[:​manual/​config/​items/​item|form]]   * in the item properties [[:​manual/​config/​items/​item|form]]
   * when mass-updating items   * when mass-updating items
Line 49: Line 49:
 History tables do not participate in trend generation in any way. History tables do not participate in trend generation in any way.
  
-<note important>​If ​trends are set to '0', Zabbix server does not calculate or store trends at all.</​note>​+<note important>​If ​trend storage period is set to 'Do not keep trends', Zabbix server does not calculate or store trends at all.</​note>​
  
 <​note>​The trends are calculated and stored with the same data type as the original values. As a result the average value calculations of unsigned data type values are rounded and the less the value interval is the less precise the result will be. For example if item has values 0 and 1, the average value will be 0, not 0.5. <​note>​The trends are calculated and stored with the same data type as the original values. As a result the average value calculations of unsigned data type values are rounded and the less the value interval is the less precise the result will be. For example if item has values 0 and 1, the average value will be 0, not 0.5.