Google BigQuery Time Travel Lets You Query Historical Table States Up to 7 Days Back

Google BigQuery's time travel feature allows users to query a table's data as it existed at any past point within a configurable window of two to seven days, defaulting to seven days. This is particularly useful in data pipeline environments where tables are frequently updated and a historical snapshot is needed for auditing or recovery. To fully restore lost data, users can copy the historical snapshot directly into a new table. For partial repairs, the recommended approach is to first copy the time-travel data into a temporary table, then use that as the source to update the current table. Attempting to read and write to the same table at different snapshot times in a single query will result in an error due to conflicting snapshot timestamps.