Sample collection

You can customize the sample collection process to configure historical data collection for individual attribute groups and specify the managed systems, frequency, and storage location.

Set the following intervals for data collection.

Table 1. Data collection sample interval settings
Type of interval	Duration in minutes
Real-time data collection	5
Short-term historical data collection	15
Long-term warehousing	60

The real-time data collection is based on the intervals that you set.

Table 2. Real-time data sample collection schedule
Time	Real-time data collection
1:57	First row of data, 798 bytes, collected.
2:02	Second row of data collected (replaces first row of data, which is discarded).
2:07	Third row of data collected (replaces second row of data, which is discarded).
2:12	Fourth row of data collected (replaces third row of data, which is discarded).
2:17	Fifth row of data collected (replaces fourth row of data, which is discarded).
2:22	Sixth row of data collected (replaces fifth row of data, which is discarded).
2:27	Seventh row of data collected (replaces sixth row of data, which is discarded).
2:32	Eighth row of data collected (replaces seventh row of data, which is discarded).
2:37	Ninth row of data collected (replaces eight row of data, which is discarded).
2:42	Tenth row of data collected (replaces ninth row of data, which is discarded).
2:47	Eleventh row of data collected (replaces tenth row of data, which is discarded).
2:52	Twelfth row of data collected (replaces eleventh row of data, which is discarded).
2:57	Start of next cycle of real-time data collection.

The short-term historical data collection is based on the intervals that you set.

Table 3. Short-term historical data sample collection schedule
Time	Short-term historical data collection
1:58	Start collection.
2:00	Use the most recent real-time collection to store the first row of data (816 bytes).
2:15	Use the most recent real-time collection to store the second row of data (816 bytes).
2:30	Use the most recent real-time collection to store the third row of data (816 bytes).
2:45	Use the most recent real-time collection to store the fourth row of data (816 bytes).
3:00	Use the most recent real-time collection to store the fifth row of data (816 bytes).

Every hour, the Warehouse Proxy Agent transfers all rows of data to the database as long-term historical data that Tivoli® Data Warehouse maintains. You can use the following formula to calculate the volume of data, in bytes, that is collected: 4 x 816 x n. In the formula, n stands for the total number of datasets in all dataset groups.