The relevant parameter is the Backfill range . It determines how far backward Splunk should build accelerated summary information when establishing or updating the accelerated CIM data model. The value is expressed using a relative-time specification, allowing administrators to define how much historical data should be represented in the accelerated column-store structures.
Backfilling is important because enabling acceleration today does not automatically imply that unlimited historical data should be summarized. A cyber defense team may require enough historical coverage to support detection baselines, investigations, dashboards, and retrospective searches while also controlling computational and storage cost.
For example, increasing the backfill interval gives tstats-based searches access to a larger historical period of summarized data but requires Splunk to perform more summarization work. An interval that is too short may prevent analysts from efficiently reviewing older events through accelerated searches.
Max summarization search time controls summarization execution behavior rather than the historical horizon. “Accelerate until maximum time” is not the requested setting. Although summary-range terminology is conceptually related to accelerated coverage, the question specifically describes the relative-time parameter controlling how far backward the column stores are initially generated: Backfill range .
Study Guide topics: CIM acceleration, backfill range, accelerated summaries, column stores, tstats, data-model performance.
