Move conversion of FIRST/LAST Aggregate function to independent physical optimizer rule #10061

jayzhan211 · 2024-04-12T13:08:39Z

Which issue does this PR close?

Closes #9972.

Rationale for this change

We plan to make FIRST / LAST UDAF. This rule does the conversion between FIRST/LAST, it will eventually be moved to aggregate-functions crate. The first step is to move it out to an independent rule.

What changes are included in this PR?

Are these changes tested?

Are there any user-facing changes?

Signed-off-by: jayzhan211 <jayzhan211@gmail.com>

jayzhan211 · 2024-04-12T13:31:49Z

datafusion/core/src/physical_optimizer/convert_first_last.rs

+            &input_order_mode,
+        );
+
+        let aggr_exec = aggr_exec.new_with_aggr_expr_and_ordering_info(


keep the logic similar to AggregateExec::try_new_with_schema

Ok(AggregateExec { mode, group_by, aggr_expr, filter_expr, input, schema, input_schema, metrics: ExecutionPlanMetricsSet::new(), required_input_ordering, limit: None, input_order_mode, cache, })

datafusion/core/src/physical_optimizer/convert_first_last.rs

ozankabak · 2024-04-12T14:19:40Z

We will review and comment on this next week. @mustafasrepo

Signed-off-by: jayzhan211 <jayzhan211@gmail.com>

jayzhan211 · 2024-04-13T07:26:20Z

datafusion/core/src/physical_optimizer/convert_first_last.rs

+///
+/// Similar to the one in datafusion/physical-plan/src/aggregates/mod.rs, but this
+/// function care only the possible conversion between FIRST_VALUE and LAST_VALUE
+fn get_aggregate_exprs_requirement(


only first/last rule is moved to here.

Signed-off-by: jayzhan211 <jayzhan211@gmail.com>

alamb

Thank you @jayzhan211 -- this is a very nice contribution towards extracting aggregate functions out of the core. I think we should fix the double recursion but otherwise this code looks (really) nice to me.

cc @mustafasrepo and @ozankabak FYI

alamb · 2024-04-13T13:25:27Z

datafusion/core/src/physical_optimizer/convert_first_last.rs

+/// so we can convert the aggregate expression to FirstValue(c1 order by asc),
+/// since the current ordering is already satisfied, it saves our time!
+#[derive(Default)]
+pub struct ConvertFirstLast {}


I wonder if we could call this something more general, like OptimizeAggregateOrder so it could potentially be used for aggregates other than FIRST_VALUE and LAST_VALUE 🤔

alamb · 2024-04-13T13:25:31Z

datafusion/core/src/physical_optimizer/convert_first_last.rs

+    }
+
+    fn name(&self) -> &str {
+        "SimpleOrdering"


I think this name should match the name of the structure -- that is "ConvertFirstLast" in this case

alamb · 2024-04-13T13:26:36Z

datafusion/core/src/physical_optimizer/convert_first_last.rs

+fn get_common_requirement_of_aggregate_input(
+    plan: Arc<dyn ExecutionPlan>,
+) -> Result<Transformed<Arc<dyn ExecutionPlan>>> {
+    // Optimize children


since this rule already calls transform_up which handles the recursion up the tree of ExecutionPlan and managine the transformedflag, I don't think you also need to recursively walk down the children here again. I think you can probably just call optimize_internal directly

Recursing back down the tree is also like N^2 (or worse) in the number of plan nodes so I think we should avoid it for performance reasons (in addition to making the code simpler)

Amazing, it works! I think I have no idea what is going on in transform_up 😞

/// Convenience utility for writing optimizer rules: Recursively apply the /// given function `f` to all children of a node, and then to the node itself /// (post-order traversal). When `f` does not apply to a given node, it is /// left unchanged.

I didn't notice that the children is updated to parent too, so I do it manually.

$SELF.map_children($F_CHILD)?.transform_parent(|n| $F_UP(n))

I think transform_parent here is actually doing transform_self 🤔

alamb · 2024-04-13T13:31:34Z

datafusion/core/src/physical_optimizer/convert_first_last.rs

+    }
+}
+
+/// In `create_initial_plan` for LogicalPlan::Aggregate, we have a nested AggregateExec where the first layer


thank you for this comment. It makes things much clearer

alamb · 2024-04-13T13:33:21Z

datafusion/core/src/physical_optimizer/convert_first_last.rs

+        let reverse_aggr_req =
+            PhysicalSortRequirement::from_sort_exprs(&reverse_aggr_req);
+
+        if let Some(first_value) = aggr_expr.as_any().downcast_ref::<FirstValue>() {


Eventually (some other PR) it would be amazing if we can move this code into FirstValue somehow. As it is now, there is a coupling between the optimizer rule and the actual PhysicalExpr -- which means among other things this same optimization can't be used by user defined aggregates

Yes, this should be similar to FunctionRewrite, registerable optimize rule.

Signed-off-by: jayzhan211 <jayzhan211@gmail.com>

ozankabak · 2024-04-13T14:18:33Z

Thank you @jayzhan211 -- this is a very nice contribution towards extracting aggregate functions out of the core. I think we should fix the double recursion but otherwise this code looks (really) nice to me.

cc @mustafasrepo and @ozankabak FYI

We will review this Monday

alamb · 2024-04-13T20:11:11Z

Sounds good -- thank you @ozankabak -- let's wait for that review prior to merging this PR

mustafasrepo · 2024-04-15T11:58:00Z

datafusion/core/src/physical_optimizer/optimizer.rs

            // Applying the rule early means only directly-connected AggregateExecs must be examined.
            Arc::new(LimitedDistinctAggregation::new()),
+            // Run once before PartialFinalAggregation is rewritten to ensure the rule is applied correctly
+            Arc::new(OptimizeAggregateOrder::new()),


I think we can remove this rule from here. Using it only in below place should be enough.

mustafasrepo

Thanks @jayzhan211 for this PR. I have left some minor comment. Please note that, applying my suggestion changes couple of tests. However, I have verified that those changes are both valid, not harmful for the execution. We can merge this PR as is also.

Signed-off-by: jayzhan211 <jayzhan211@gmail.com>

jayzhan211 · 2024-04-15T12:23:31Z

Arc::new(OptimizeAggregateOrder::new()),

Let me apply your suggestion! Thanks for your review @mustafasrepo and @alamb

Signed-off-by: jayzhan211 <jayzhan211@gmail.com>

jayzhan211 added 23 commits April 10, 2024 14:55

move out the ordering ruel

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introduce rule

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revert test result

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pass mulit order test

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cleanup

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with new childes

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revert slt

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revert back

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rm rewrite in new child

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backup

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only move conversion to optimizer

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find test that do reverse

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add test for first and last

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pass all test

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upd test

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upd test

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cleanup

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cleanup

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add aggregate test

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final draft

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github-actions bot added core Core DataFusion crate sqllogictest SQL Logic Tests (.slt) labels Apr 12, 2024

jayzhan211 commented Apr 12, 2024

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datafusion/core/src/physical_optimizer/convert_first_last.rs Outdated Show resolved Hide resolved

jayzhan211 commented Apr 12, 2024

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datafusion/core/src/physical_optimizer/convert_first_last.rs Show resolved Hide resolved

pull out finer ordering code and reuse

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jayzhan211 added 2 commits April 13, 2024 09:22

clippy

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remove finer in optimize rule

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jayzhan211 commented Apr 13, 2024

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jayzhan211 added 4 commits April 13, 2024 15:28

add comments and clenaup

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rename fun

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rename fun

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fmt

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alamb reviewed Apr 13, 2024

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avoid unnecessary recursion and rename

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mustafasrepo reviewed Apr 15, 2024

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mustafasrepo approved these changes Apr 15, 2024

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remove unnecessary rule

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jayzhan211 added 3 commits April 15, 2024 20:23

Merge remote-tracking branch 'upstream/main' into aggr-rule

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Merge remote-tracking branch 'upstream/main' into aggr-rule

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jayzhan211 merged commit 4e9f2d5 into apache:main Apr 15, 2024

mustafasrepo mentioned this pull request Apr 15, 2024

Simplify Rule synnada-ai/datafusion-upstream#17

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Move conversion of FIRST/LAST Aggregate function to independent physical optimizer rule #10061

Move conversion of FIRST/LAST Aggregate function to independent physical optimizer rule #10061

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jayzhan211 commented Apr 12, 2024 • edited Loading Uh oh! There was an error while loading. Please reload this page.

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ozankabak commented Apr 13, 2024

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