holdenk commented on issue #8010: URL: https://github.com/apache/iceberg/issues/8010#issuecomment-1633304657
Ok! So I did some more digging and I _think_ the fix could go in the Iceberg side. Spark's `RequiredDistributionAndOrdering` has an option `distributionStrictlyRequired()` which when true (which is the default) will force a repartition to match the desired dist to the T (see `DistributionAndOrderingUtils.scala`). I _think_ we might want instead to set it to false so we get `RebalancePartitions` which would allow `OptimizeSkewInRebalancePartitions` to maybe address the skew issue that we are seeing. WDYT @RussellSpitzer ? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
