2.15.2 When the chunk archiving function is to be used

We recommend that you use the chunk archiving function when all of the following conditions are met:

A large amount of chronological data, such as sensor data and sales data, is imported every day.
The preceding chronological data must be stored for a long term.
Recent data is frequently referenced and old data is infrequently referenced for analysis.

The following figure shows an example of using the chunk archiving function.

Figure 2‒53: Example of using the chunk archiving function

Explanation: In this example, the data stored in the last six months is not archived because the data is frequently referenced. The other, older, data is archived to compact the data size because it is infrequently referenced.

A search in archived data takes more time than a search in non-archived data.

Important

The data to be archived by the chunk archiving function must include datetime information.
Archived data cannot be updated or deleted. Before you can update or delete archived data, you must expand and restore it in the DB area. Therefore, we recommend that you do not use the chunk archiving function for data that might be updated or deleted in the future.