i'm planning on launching several jobs using hourly partitions. one thing i noticed is that if you attempt to re-fill a partition, all of the job nodes aren't cleared from the first run. 1. run partitioned job. everything compeltes successfully (all green) 2. re-run partitioned job, it fails. (one node red, rest are green) i believe in airflow, re-triggering a partition is basically the same as marking all of those tagged runs as "cleared". not sure if there's a simple way to do this in dagster, but it makes for a nicer/more comprehensible visual in my opinion.

cc @prha

Hi Stephen. Just want to confirm what is confusing here: Some of the steps are retaining their “success” status from previous runs, when really you’d want to see the entire column just contain the status from the last run?

that's right. my intuition is that at any given time, a partition should only have state from a single run (the latest). i don't expect this is a common problem in practice, because people wont be randomly kicking off a bunch of new backfills most of the time, but just wanted to share

Yeah, that matches my intuition too… It’s a bug that it smushes them together.

Created issue at: https://github.com/dagster-io/dagster/issues/7932