kinolaev commented on PR #16956:
URL: https://github.com/apache/iceberg/pull/16956#issuecomment-6794874568

   Hi @laskoviymishka, could you please take a look at this PR when you get a 
chance? It aims to prevent the loading amplification problem between data files 
and equality deletes by introducing a shared equality delete structure that can 
be used by multiple data files within a task. This makes Spark viable even for 
fast-changing CDC tables. Trino generally performs better here, but because it 
caches equality deletes per job rather than per task, it risks OOMs when 
job-level memory is tight. With this change, Spark can finish these jobs 
reliably.


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