housekeeping-and-deletion

To manually trigger garbage collection and free disk space, you must first remove references to unwanted objects from collections and nullify fields, then execute housekeeping tasks to reclaim storage and optimize disk usage.

Effective data cleanup requires removing references from collections, nullifying specific fields, and clearing lazy-loaded data to ensure objects are fully dereferenced before triggering housekeeping tasks.

You should run file compaction to optimize disk usage after performing bulk data removals or deleting large datasets, ensuring that the reclaimed storage is properly consolidated and managed.

Deleting references and clearing lazy-loaded data does not automatically reclaim storage; you must manually trigger housekeeping tasks like garbage collection and file compaction to actively free disk space.

The best way to manage storage cleanup for large data sets is to systematically remove object references, clear lazy-loaded data, and then manually trigger garbage collection and file compaction to optimize disk usage.