XiaoHongbo-Hope opened a new pull request, #8738: URL: https://github.com/apache/paimon/pull/8738
## Purpose `ray.data.join` shuffles both sides. When two tables are sorted/clustered by the join key, that shuffle is avoidable: cut the key space into ranges from per-file min/max stats in the manifest, then read and join each range in its own Ray task — no global shuffle. Complements `bucket_join` (which needs co-bucketed tables) for the sorted-but-not-co-bucketed case. Half-open ranges plus an in-memory clip keep every matching pair produced exactly once regardless of range count; splits with no usable stats fall back to joining every range. Supports `on=` or `left_on`/`right_on`, inner join. Shared driver/worker helpers are factored into `join_common` and reused by `bucket_join`. ## Tests `ray_range_join_test.py`; flake8 clean. The exactly-once planning invariant was additionally verified over randomized range/skew/null trials. -- 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]
