Improve Ordering reuse for groupby and join - #23927
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WalkthroughStreaming ordering metadata now uses ChangesStreaming ordering behavior
Estimated code review effort: 3 (Moderate) | ~20 minutes Merge Risk: ⚪ Minimal · up to This change reuses streaming ordering metadata to avoid unnecessary sorting and alignment work. No current merge-blocking correctness or runtime risk is identified. Suggested reviewers: 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✨ Finishing Touches🧪 Generate unit tests (beta)
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Inline comments:
In `@python/cudf_polars/cudf_polars/streaming/actor_graph/join.py`:
- Around line 788-797: The already_aligned fast path must also validate the
input’s per-rank chunk layout before calling replay_buffered_channel. Only
replay when the chunk sequence/count matches the output layout; otherwise route
through adjust_ordering so _join_chunks receives aligned messages and avoids
mismatched chunk counts.
In `@python/cudf_polars/tests/streaming/test_groupby.py`:
- Line 153: Update the DateTime test data in the groupby fixture to use
sub-microsecond increments that produce repeated 1us buckets and repeated
(ts_bucket, RIC) groups. Replace metadata-only validation with
assert_gpu_result_equal so the full query result verifies correct handling of
truncated partial groups.
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python/cudf_polars/cudf_polars/streaming/actor_graph/groupby.pypython/cudf_polars/cudf_polars/streaming/actor_graph/join.pypython/cudf_polars/cudf_polars/streaming/actor_graph/utils.pypython/cudf_polars/tests/streaming/test_groupby.pypython/cudf_polars/tests/streaming/test_join.py
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Inline comments:
In `@python/cudf_polars/cudf_polars/streaming/actor_graph/groupby.py`:
- Line 894: Add actor-level regression tests and focused unit benchmarks for the
changed GroupBy and Sort strategy decisions. In
python/cudf_polars/cudf_polars/streaming/actor_graph/groupby.py:894-894, cover
non-strict-prefix ordered adjustment with null-containing input, verifying
grouped results and output order. In
python/cudf_polars/cudf_polars/streaming/actor_graph/collectives/sort.py:835-839,
cover full-key and strict-prefix fast paths, reject non-strict prefixes, and
verify duplicated input selects local ordering.
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python/cudf_polars/cudf_polars/streaming/actor_graph/collectives/sort.pypython/cudf_polars/cudf_polars/streaming/actor_graph/groupby.pypython/cudf_polars/cudf_polars/streaming/actor_graph/utils.pypython/cudf_polars/tests/streaming/test_metadata.py
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| def _can_sort_chunkwise( | ||
| ordering: Ordering | None, order_keys: Sequence[OrderKey] | ||
| ) -> bool: | ||
| """Return true when ordering avoids a global sort.""" |
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It looks like the code doesn't care about the contents of the OrderKeys from ordering.key or order_keys, just that their length matches.
Should we verify things like matching column_index / order / null _order, or at least document that requirement for this to be used safely? Or does it not matter?
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good catch! I updated _can_sort_chunkwise to require the ordering keys to match the requested sort prefix, not just the key count.
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Description
Improves cudf-polars streaming actors so existing
Orderingmetadata can be reused more effectively.is_orderedmethod with a more-generalget_orderingmethod. It is really up to the consumer/actor to decide if/how an existingOrderingshould be used to avoid unnecessary work.adjust_orderingfor order-partitioned input even when the input is not already strictly partitioned on the full grouping keys. Formaintain_order=True, this avoids forcing tree reduction when ordered adjustment can preserve the necessary semantics.adjust_orderingwork in ordered joins when an input side is already aligned with the target ordering.Part of #22128.