limatakamaidotcom-github opened a new issue, #14436:
URL: https://github.com/apache/iceberg/issues/14436

   ### Query engine
   
   Spark
   
   ### Question
   
   I have an inquiry about the proper use of SparkTable’s refreshEagerly.
   When SparkTable is instantiated, it derives Spark Schema from the wrapped 
icebergTable object’s current snapshot. If refreshEagerly=true (when catalog 
cache is enabled), by the time of newScanBuilder is called,
   icebergTable.refresh is invoked. In case Iceberg table schema has evolved 
in-between, won’t a newer schema be passed to SparkScanBuilder to build the 
scan? Won’t this has potential schema mismatch issue?


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