pallevam opened a new pull request, #14825:
URL: https://github.com/apache/iceberg/pull/14825

   This PR adds a concrete example to the "Schema selection in time travel 
queries"
   section in the Spark queries documentation.
   
   The example demonstrates how schema selection behaves when:
   
   - time traveling by `TIMESTAMP AS OF` and `VERSION AS OF <snapshot_id>` 
(uses the snapshot's schema)
   - time traveling by `VERSION AS OF 'branch-name'` and 
`table.\`branch_<branch-name>\`` (uses the table's current schema)
   - time traveling by `VERSION AS OF 'tag-name'` and 
`table.\`tag_<tag-name>\`` (uses the referenced snapshot's schema)
   
   The scenario uses a simple `orders` table that evolves its schema (adding a 
new
   column) and shows which columns are visible in each kind of time travel 
query.
   
   Closes #13065.
   


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