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Database / LanceDB Interview questions

Explain the lifecycle of a write operation in LanceDB (versioning)?

Every write to a LanceDB table — whether it's adding rows, updating them, deleting them, or altering the schema — goes through the same fundamental lifecycle: new data files are written, and a new manifest describing the table's state is committed atomically, advancing the table to a new version.

flowchart TD A[Write operation requested: add/update/delete/schema change] --> B[New Lance data file(s) written to storage] B --> C[New manifest created describing the resulting table state] C --> D{Commit succeeds atomically?} D -- Yes --> E[Table version number increments; new version becomes latest] D -- No, conflict detected --> F[Write rejected or retried per conflict resolution] E --> G[Old version's data files remain on storage, not deleted]

Critically, existing data files from previous versions aren't deleted or overwritten during a normal write — even an update or delete works by writing new files (containing the updated data, or deletion markers for removed rows) and committing a new manifest that reflects the net effect, rather than mutating anything in place.

This append-oriented, immutable-file design is what makes time travel and checkout possible: because old files are still physically present until an explicit cleanup operation removes them, checking out an old version is simply a matter of reading the manifest for that version and following the files it references, rather than needing to reconstruct historical state from a separate change log.

What happens to data files from previous versions during a normal write?
What makes time travel/checkout possible in LanceDB's design?

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