keyed 0.1.1

Breaking Changes

• Operations that break key uniqueness now error instead of warning. Previously, keyed would warn and silently remove the key. Now it stops with an error, requiring explicit unkey() to proceed. This prevents silent data corruption.

Improvements

• Added Codecov integration for test coverage tracking
• Improved README with problem-solution framing and Row UUIDs section
• Added CONTRIBUTING.md with contribution guidelines
• Expanded test suite to 90%+ coverage
• Fixed find_duplicates() to work with keyed data that has duplicates

keyed 0.1.0

Initial Release

Key Definition

• key() / unkey(): Define and remove keys from data frames
• has_key() / get_key_cols() / key_is_valid(): Query key status
• Keys survive dplyr transformations (filter, mutate, arrange, etc.)

Assumption Checks

• lock_unique(): Verify column uniqueness
• lock_no_na(): Check for missing values
• lock_complete(): Ensure expected values are present
• lock_coverage(): Validate reference coverage
• lock_nrow(): Check row count bounds

Join Diagnostics

• diagnose_join(): Analyze join cardinality before executing
• Optional integration with joinspy for enhanced diagnostics

Row Identity

• add_id() / remove_id(): Add/remove stable UUIDs
• has_id() / get_id(): Query ID status
• extend_id(): Fill missing IDs after binding
• make_id(): Create composite IDs from columns
• bind_id(): Combine data with ID handling
• check_id() / check_id_disjoint(): Validate ID integrity
• compare_ids(): Detect lost/gained rows

Drift Detection

• commit_keyed(): Commit reference snapshot
• check_drift(): Detect changes from snapshot
• list_snapshots() / clear_snapshot() / clear_all_snapshots(): Manage snapshots

Diagnostics

• key_status(): Quick status summary
• summary.keyed_df(): Detailed summary method
• compare_structure(): Compare schema between data frames
• compare_keys(): Compare key values between datasets
• find_duplicates(): Locate duplicate key values