aokolnychyi edited a comment on issue #2326:
URL: https://github.com/apache/iceberg/issues/2326#issuecomment-797711579


   Well, it was expected the partitions table would not perform that well when 
a lot of metadata is present. I had 
[this](https://github.com/apache/iceberg/pull/655#discussion_r347950984) 
comment on the original PR.
   
   Doing an aggregate on top of the files metadata table in Spark would be way 
faster but not instant. Have you tried that as a temp solution, @szehon-ho? I 
just wonder what's the difference in terms of performance. You can tune the 
input split size for metadata tables to have reasonable parallelism.
   
   There is also an interesting proposal in #2182. Can we potentially benefit 
from it here?


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