Translation

English
Memory Limit for Data Source Statistics Data Collector
59/540 · 54
English Latvian
Should Data Source Statistics be collected for this Cacti system? Vai par šo kaktusu sistēmu ir jāapkopo datu avotu statistika?
Data Collection Method Datu apkopošana
Data Source Statistics can use a legacy method where it will determine peak and average values, or an advanced mode which will calculated several additional statistical values in addition to peak and average. Using All Statistical Metrics can place additional CPU and IO load on the system.
Peak/Average Only
All Statistical Metrics Notīrīt statistiku
Calculate Peaks Stats in Addition to Average Stats
This option will double the data collection time. If will use the MAX consolidation function and calculate statistics from the max values in each of the respective time ranges.
Number of DSStats Processes DSStats procesu skaits
The number of concurrent DSStats processes to use to use to process all of the Data Sources. Vienlaicīgu DSStats procesu skaits, kas jāizmanto visu datu avotu apstrādei.
Daily Update Frequency Ikdienas atjaunināšanas biežums
How frequent should Daily Stats be updated? Cik bieži ir jāatjaunina ikdienas statistika?
Hourly Average Window Stundas vidējais logs
The number of consecutive hours that represent the hourly average. Keep in mind that a setting too high can result in very large memory tables Secīgo stundu skaits, kas atspoguļo stundas vidējo rādītāju. Ņemiet vērā, ka pārāk augsts iestatījums var radīt ļoti lielas atmiņas tabulas
Maintenance Time Apkopes laiks
What time of day should Weekly, Monthly, and Yearly Data be updated? Format is HH:MM [am/pm] Kurā diennakts laikā būtu jāatjaunina nedēļas, mēneša un gada dati? Formāts ir HH:MM [am/pm]
Memory Limit for Data Source Statistics Data Collector Datu avota statistikas datu apkopotāja atmiņas ierobežojums
The maximum amount of memory for the Cacti Poller and Data Source Statistics Poller Maksimālais atmiņas apjoms Cacti un Datu avota statistikas aptaujātajam
Data Source Retention Settings Datu krātuves iestatījumi
Save Historical Data in Database Tables
Check this setting in order to keep a table for each day, week, month, and year data. The times that these tables will be created will be based upon the following formula: Daily - One partition per day, Weekly - One Partition per Week, Monthly - One partition per Month, Yearly - One Partition per Year. All tables will have the following suffixes by type Daily: YYYYDDD, Weekly: YYYYWW, Monthly: YYYYMM, and Yearly: YYYY suffixes.
Daily Partition Retention Datu saglabāšana
The number of Days, Weeks, Months, or Years to keep daily statistics.
Weekly Partition Retention Datu saglabāšana
The number of Days, Weeks, Months, or Years to keep weekly statistics.
Monthly Partition Retention
The number of Days, Weeks, Months, or Years to keep monthly statistics.
Yearly Partition Retention Datu saglabāšana
The number of Days, Weeks, Months, or Years to keep yearly statistics.
RRDfile Check RRDfile tīrītājs
Enable RRDfile Check Iespējot kārtulu
Should RRDfile Check be enabled for this Cacti system? Vai par šo kaktusu sistēmu ir jāapkopo datu avotu statistika?
Component Translation Difference to current string
This translation Propagated Translated Cacti/core
The following string has the same context and source.
Propagated Translated Cacti/core (v1.2.x)

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Glossary

English Latvian
Data Collector Datu apkopotājs Cacti

String information

Source string location
include/global_settings.php:2287
String age
2 years ago
Source string age
3 years ago
Translation file
locales/po/lv-LV.po, string 2891