79555405

Date: 2025-04-04 13:14:08
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Turns out that is that this is essentially a flaw of Spark, and the correct solution is to use Iceberg to partition data to use storage-partitioned joins: https://medium.com/expedia-group-tech/turbocharge-efficiency-slash-costs-mastering-spark-iceberg-joins-with-storage-partitioned-join-03fdc1ff75c0.

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Posted by: as2bbgFt