It also turns out that a WAL isn't the ideal data model, because writes to S3 are heavily parallelizable (and as we'll see in a second, should be batched), so we wanted to grab huge chunks of data where we could. In addition, we realized that update and delete operations in the WAL don't matter in any practical sense; for updates, we could simply rewrite a payload inline, and deletes would be reclaimed by S3 lifecycle policies with data consistency as long as the supertoast reference row was deleted properly.
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