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Abstract:
This presentation outlines JJ's novel approach to tracking file copies and renames within a version control system. The speaker, Josh from Google, begins by reviewing the historical evolution of this feature, contrasting the explicit-but-flawed tracking in systems like Subversion with Git's reliance on expensive, un-cached runtime heuristics. The core of JJ's proposed solution is a backend-agnostic "copy history graph" that exists independently of the commit history. Each file is assigned a Copy ID based on its path and its parent files' Copy IDs. This graph is not directly persisted in the underlying backend (e.g., as part of a Git commit object). Instead, it is generated heuristically and cached locally in the user's repository upon clone or fetch. This "local-first" design allows for fast, cached lookups for operations like diff, log, and blame, while avoiding the need to alter backend data structures. This makes the solution resilient and performant, offering a significant improvement over Git's repeated heuristic calculations, and allows backends with native support (like Piper) to provide an exactly shared graph.
JJ's Novel Approach to Copy Tracking: A Backend-Agnostic, Locally Cached Graph
log and blame) and ensures that merges and rebases correctly apply changes to moved files.diff and merge. This is flexible but can be slow and is not cached between commands.Copy ID Data Structure: Every file is assigned a Copy ID, which is a hash of its copy history. This history contains the file's current path and a list of its parent files' Copy IDs, creating a directed acyclic graph (DAG) of file ancestry.diff, JJ's algorithm traverses the small, efficient copy history graph to find a file's true ancestor. This allows it to correctly identify a file as modified, copied, or renamed, independent of the number of commits between the two states.diff command. Future work will include implementing copy-aware merging, blame, and logs, as well as adding CLI commands for users to manually annotate copies.