What is the effect of mapping a unique field in Relativity?

Mapping a unique field in Relativity serves the purpose of ensuring that each record or item within a dataset can be distinctly identified. When a unique field is mapped, it assigns distinct identifiers to each item based on the values in that field, which helps maintain the integrity of the data and facilitates more accurate data retrieval and processing.

This unique identification is crucial in various scenarios, such as when managing large volumes of documents or evidence, as it prevents any confusion or mix-up between items. By assigning a unique field, users can easily track, analyze, and reference specific records without the risk of overlapping or duplicating data entries.

In contrast, creating a duplicate field, removing existing fields, or encountering an error does not characterize the mapping of a unique field. These actions do not align with the primary function of unique fields, which is focused on identification and organization of records. Thus, the mapping of a unique field effectively supports data management practices within Relativity by enabling clearer and more efficient resource tracking.