emkornfield commented on PR #11039:
URL: https://github.com/apache/iceberg/pull/11039#issuecomment-2623021449

   > > @hesham-medhat @rdblue - could you pls give an update on this PR? It 
seems it would massively simplify the Iceberg table management in GCP for 
non-spark usecases.
   > > thanks!
   > 
   > Just a curious question - Currently how are you supporting non-spark 
usecases at all? scheduling a metadata copy in iceberg metadata format, and 
then pointing other engines to that from that? However, even with this PR 
merge, the non spark usecases must have integrations with BigQuery metastore 
for the simplification to happen right? what am I missing
   
   @vrishin-bolt This change should support anything using Iceberg's Catalog 
interface.  So Spark, Beam and Flink I believe should be able to use it.  Trino 
uses its own interface and  there is an [open 
issue](https://github.com/trinodb/trino/issues/20031) to support BQMS.  For 
non-JVM systems you are correct, those are not supported initially and GCP will 
need to work either contribute/collaborate on other clients.  If there are 
critical use-cases for BQMS that you would like to see covered please contact 
BQ (I think you might have done so already).


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