Feature Request / Improvement

SparkCatalog supports "REPLACE TABLE ... AS SELECT" as an atomic operation when using a SparkCatalog.

Similarly, we should introduce support for an atomic RTAS operation in PyIceberg.

Atomic table replacement creates a new snapshot with the results of the SELECT query, but keeps table history.

https://iceberg.apache.org/docs/latest/spark-ddl/#replace-table--as-select