Cacti/core — Latvian @ Cacti Translations: The maximum amount of memory for the Cacti Poller and …

	English	Latvian
	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?
	Number of RRDfile Check Processes	DSStats procesu skaits

	Component	Translation
	This translation Propagated Translated Cacti/core	Maksimālais atmiņas apjoms Cacti un Datu avota statistikas aptaujātajam
The following string has the same context and source.
	Propagated Translated Cacti/core (v1.2.x)	Maksimālais atmiņas apjoms Cacti un Datu avota statistikas aptaujātajam