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AI-generatedDelta Lake rollback after a schema change: RESTORE to an old version or additive-only evolution?
A Delta Lake table on Apache Spark receives frequent schema changes: new columns in most releases, and occasionally a column drop or type change that later has to be undone. The goal is to choose one documented rollback strategy that keeps the table recoverable without breaking downstream Spark jobs. Two documented approaches fit. Time travel with RESTORE re