ddsr-ops commented on issue #2447:
URL: https://github.com/apache/iceberg/issues/2447#issuecomment-817312243


   > Spark uses a caching catalog to prevent the client from using the same 
table multiple times in the same query and getting different results. The 
catalog only updates the pointer when Spark is the framework that modifies the 
table. If you want the latest data as changed by another framework you can use 
'refresh table' to update the table reference.
   
   @RussellSpitzer it works, thank you.


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