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Names should be descriptive and unambiguous, clearly communicating their purpose and intent. Avoid abbreviations and ambiguous terms that could confuse readers about the actual functionality or data being represented.

Key principles:

• Expand abbreviated names for clarity (e.g., additional_authenticated_data instead of aad)
• Use semantic names that reflect actual purpose (e.g., MISSING instead of INVALID when data is absent, HivePartitioningExecutor instead of HivePartitioning for execution logic)
• Follow established naming conventions consistently (PascalCase for methods like GetProgress(), snake_case for variables like ordinality_data)
• Choose names that indicate data structure (e.g., extension_directories when storing multiple values)
• Use descriptive method names (e.g., MicrosLength() instead of generic Length())

Example of good descriptive naming:

// Bad: abbreviated and unclear
bool aad = false;
string extension_directory;
static idx_t Length(int32_t time[], char micro_buffer[]);

// Good: descriptive and clear
bool additional_authenticated_data = false;
vector<string> extension_directories;
static idx_t MicrosLength(int32_t micros, char micro_buffer[]);

Names should make code self-documenting and reduce the need for additional comments to understand functionality.