What is the likely result of reaching max raw data size during index growth?

When the maximum raw data size limit is reached during index growth, the behavior of the indexing process plays a crucial role in maintaining the performance and reliability of the system. In this scenario, the correct outcome is that new incoming data is rejected.

This situation arises because Splunk is designed to manage its resources effectively. Upon reaching the maximum allowed size for raw data, the system prioritizes maintaining operational stability over accepting additional data. By rejecting new incoming data, Splunk prevents potential issues such as slowing down the indexing process or risking data corruption.

The processes that may be in place when this limit is reached do not include queuing data for processing, as queuing implies that the incoming data could be processed later, which is not feasible when the index has hit its maximum capacity. Similarly, automatic archiving of data does not happen simply due to reaching size limits; archiving requires explicit configurations for data retention that are separate from the immediate concerns of data ingestion. Although retention policies may need to be adjusted in the long term to manage storage more effectively, this does not occur automatically just because the maximum size limit is reached. The focus at that critical moment is on rejecting new data to safeguard the current indexing operation.