rdblue commented on pull request #19:
URL: https://github.com/apache/iceberg-docs/pull/19#issuecomment-1022430192


   I have the same reaction as @RussellSpitzer. I like the visualization of 
snapshots, but I don't consider rollback to be time travel. Rollback alters the 
state of the table, while time travel actually reads older versions.
   
   The trouble here is that there isn't a good SQL demonstration of time travel 
yet. We've added table names for time travel in 3.2, but we're waiting for 
Spark 3.3 to get the `AS OF TIMESTAMP` and `AS OF VERSION` syntax. Maybe we 
should use those anyway? Or maybe we should use Spark's dataframe syntax to 
demo time travel right now.


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