namesByid

namesByid is a data structure pattern that stores a mapping from unique identifiers to human-readable names. It is commonly implemented as a dictionary, map, or associative array, depending on the programming language. The main purpose is to enable fast lookup of a name given its id for display, logging, or indexing tasks.

In practice, entries consist of a key (the id) and a value (the name). The collection may be static, embedded at compile time, or dynamic, loaded from a database or API. Keys are usually integers or strings, and values are strings intended for presentation in user interfaces or reports.

Typical operations include adding or updating an entry, removing an entry, and looking up a name by id. Iteration over entries and batch loading are common in initialization routines. Performance is typically O(1) average for lookups, with memory usage proportional to the number of entries. Consider data integrity, id normalization, and thread-safety in concurrent applications.

Common use cases include displaying user names from session ids, showing product names for codes, or translating resource ids to readable labels in localization files. Examples appear in many languages as maps or dictionaries, such as a JavaScript object, a Python dict, or a database lookup table.

Related concepts include reverse mappings and normalization of identifiers. namesByid is a descriptive convention used in codebases to emphasize the id-to-name relationship.