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Accepted answer
We saw the same issue, fixing the partition filter dropped runtime 60%.
Interview follow-up got me thinking, how do you actually implement this in production?
Context: Guaranteeing order per user_id across partitions
Happy to share schema snippets or metrics if useful.
Accepted answer
We saw the same issue, fixing the partition filter dropped runtime 60%.
This matches our runbook for skewed keys.
Careful with NULL in join keys, they'll drop rows in an inner join.
Careful with NULL in join keys, they'll drop rows in an inner join.
Consider DuckDB or Polars for this size before spinning up a cluster.
Start with the execution plan, numbers beat guesses.
We saw the same issue, fixing the partition filter dropped runtime 60%.
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