[GitHub] [iceberg] rdblue commented on issue #6956: Spark: Data file rewriting spark job fails with oom

["rdblue (via GitHub)" <gi...@apache.org>]

rdblue commented on issue #6956:
URL: https://github.com/apache/iceberg/issues/6956#issuecomment-1448500702

   @ldwnt, if the upstream table is completely refreshed every day, then why use a stream to move the data over to analytic storage? Seems like using a one-time copy after the refresh makes more sense.
   
   I also think that, in general, directly updating an analytic table from Flink is a bad idea. It's usually much more efficient to write the changes directly into a table and periodically compact to materialize the latest table state.


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