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Calculate Peaks Stats in Addition to Average Stats
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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.
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Number of DSStats Processes
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Boost進程數
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The number of concurrent DSStats processes to use to use to process all of the Data Sources.
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用於處理boost表中所有RRD的並發boost進程數。
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Daily Update Frequency
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每日更新頻率
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How frequent should Daily Stats be updated?
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Daily Stats應該多久更新一次?
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Hourly Average Window
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每小時平均窗口
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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
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表示每小時平均值的連續小時數。請記住,設置太高會導致內存表非常大
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Maintenance Time
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維護時間
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What time of day should Weekly, Monthly, and Yearly Data be updated? Format is HH:MM [am/pm]
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什麼時候應該更新每週,每月和每年的數據?格式為HH:MM [am / pm]
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Memory Limit for Data Source Statistics Data Collector
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數據源統計數據收集器的內存限制
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The maximum amount of memory for the Cacti Poller and Data Source Statistics Poller
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Cacti Poller和數據源統計輪詢器的最大內存量
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Data Source Retention Settings
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數據存儲設置
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Save Historical Data in Database Tables
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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.
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Daily Partition Retention
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數據保留
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The number of Days, Weeks, Months, or Years to keep daily statistics.
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Weekly Partition Retention
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數據保留
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The number of Days, Weeks, Months, or Years to keep weekly statistics.
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Monthly Partition Retention
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