replacefieldvaluerecord

Replacefieldvaluerecord is a data construct used in data processing and integration workflows to specify substitutions for field values within records. It acts as a mapping that associates a field identifier, such as a field name or position, with a replacement value or a rule that yields a replacement. The concept is employed to implement field-level transformations without altering the original data until the replacement is applied.

A replacefieldvaluerecord typically includes elements such as fieldName or fieldId to identify the target field, replacementValue to define the substitute, and optional metadata or rules. Common supporting elements may include dataType, originSystem, timestamp, priority, and conditional expressions that determine whether the replacement should be applied. In practice, these records may be created programmatically, loaded from configuration stores, or generated as part of a transformation pipeline.

Purpose and use cases include data cleansing, masking and anonymization, localization, normalization, and error correction. By centralizing substitutions in replacefieldvaluerecords, systems can apply consistent transformations across numerous records and pipelines, support rollback or auditing, and facilitate dynamic changes without modifying core processing logic.

Operational behavior generally involves applying the replacement to a source record when a match is found and any conditions are satisfied, potentially in a layered or prioritized order if multiple records affect the same field. Serialization formats for replacefieldvaluerecords frequently include JSON, XML, or other structured representations, enabling easy storage, retrieval, and transport within ETL, data integration, or data quality platforms.

Related concepts include value maps, field mappings, transformation rules, and data masking policies. The term is used in various data processing contexts, but there is no single universal standard governing its structure.