BE-271: HashQL: Implement `PostInline` pass by indietyp · Pull Request #8240 · hashintel/hash

indietyp · 2026-01-03T21:18:29Z

🌟 What is the purpose of this PR?

Implements the PostInline pass for HashQL MIR, which runs canonicalization optimizations after inlining to exploit newly exposed optimization opportunities such as constant propagation, dead code elimination, and branch simplification. Additionally, adds is_leaf recomputation after inlining to expose more bonuses and adjusts the config slightly.

🔍 What does this change?

Adds PostInline pass as a thin wrapper around Canonicalization with a higher iteration limit (16 vs 8 for PreInline) since inlining can expose more optimization opportunities
Ensures is_leaf status properly propagates through the call graph analysis during inlining
Adds IdVec::fill_to method for efficiently extending vectors to a specific length
Adds comprehensive UI tests covering:
- Cascading simplification after inlining
- Closure environment cleanup
- Constant propagation after inlining
- Dead code elimination from inlined functions
- Nested branch elimination
- Full showcase demonstrating complex nested conditionals collapsing to a single return value
Adds benchmark pipeline for post-inline pass

Pre-Merge Checklist 🚀

🚢 Has this modified a publishable library?

This PR:

does not modify any publishable blocks or libraries, or modifications do not need publishing

📜 Does this require a change to the docs?

The changes in this PR:

are internal and do not require a docs change

🕸️ Does this require a change to the Turbo Graph?

The changes in this PR:

do not affect the execution graph

cursor · 2026-01-03T21:18:34Z

PR Summary

Introduces a post-inlining optimization stage and aligns inlining analysis to better exploit newly exposed opportunities.

Adds transform::PostInline (canonicalization tuned for post-inline, 16 iterations) and exposes it via transform::mod; integrates into compiletest suite (mir_pass_transform_post_inline) and benchmark pipeline (PreInline → Inline → PostInline)
Refines inlining analysis/heuristics: BodyProperties now carries source; recomputes is_leaf after inlining via new FindApplyCall; CallGraph::{is_leaf,is_single_caller,unique_caller} now filter to Apply edges; tweak InlineHeuristicsConfig defaults (e.g., always_inline=16, size_penalty_factor=0.9)
Extends IdVec with from_domain_derive{,_in} helpers for allocator-aware domain-derived vectors
Bench updates to return body arrays and add an inlining scenario; numerous new UI tests validating post-inline effects (cascading simplification, constant propagation, dead code and branch elimination, closure env cleanup)

^{Written by Cursor Bugbot for commit c9fa861. This will update automatically on new commits. Configure here.}

indietyp · 2026-01-03T21:19:27Z

This stack of pull requests is managed by Graphite. Learn more about stacking.

augmentcode · 2026-01-03T21:21:56Z

🤖 Augment PR Summary

Summary: Introduces a new post-inlining optimization stage for HashQL MIR to better capitalize on optimization opportunities exposed by inlining.

Changes:

Adds PostInline as a thin wrapper over Canonicalization with a higher iteration cap (16) and wires it into the MIR pass pipeline.
Extends the compiletest harness with a dedicated mir/pass/transform/post-inline suite (plus D2 rendering support) and adds multiple UI fixtures showcasing post-inline simplifications.
Updates MIR bench pipeline to run PreInline → Inline → PostInline and reuses a single GlobalTransformState across stages.
Refactors inlining analysis data: BodyProperties now carries source, and cost/loop metadata is grouped in CostEstimationResidual.
Recomputes is_leaf after inlining to unlock additional heuristic bonuses on newly simplified bodies.
Tweaks inlining heuristic defaults (always_inline and size_penalty_factor).
Adds a small IdVec helper (from_domain_derive*) to build property vectors from an existing domain.

Technical Notes: The PR also adjusts call-graph “single/unique caller” logic to consider only Apply edges and adds tracing as a dependency for MIR instrumentation.

_{🤖 Was this summary useful? React with 👍 or 👎}

augmentcode

Review completed. 2 suggestions posted.

Comment augment review to trigger a new review at any time.

libs/@local/hashql/mir/src/pass/transform/inline/mod.rs

libs/@local/hashql/mir/src/pass/transform/inline/find.rs

codspeed-hq · 2026-01-03T21:25:22Z

CodSpeed Performance Report

Merging this PR will degrade performance by 23.94%

_{Comparing bm/be-271-hashql-implement-postinline-pass (c9fa861) with main (7b09441)}

Summary

❌ 3 (👁 3) regressed benchmarks
✅ 14 untouched benchmarks
🆕 1 new benchmark
🗄️ 12 archived benchmarks run¹

Performance Changes

	Benchmark	`BASE`	`HEAD`	Efficiency
👁	`linear`	38.2 µs	50.3 µs	-23.94%
🆕	`inline`	N/A	232.3 µs	N/A
👁	`diamond`	68.9 µs	84.5 µs	-18.48%
👁	`complex`	100.2 µs	119.3 µs	-16.03%

12 benchmarks were run, but are now archived. If they were deleted in another branch, consider rebasing to remove them from the report. Instead if they were added back, click here to restore them. ↩

graphite-app · 2026-01-19T10:16:25Z

Merge activity

Jan 19, 10:16 AM UTC: Graphite rebased this pull request, because this pull request is set to merge when ready.

cursor

Cursor Bugbot has reviewed your changes and found 2 potential issues.

^{Bugbot Autofix is OFF. To automatically fix reported issues with Cloud Agents, enable Autofix in the Cursor dashboard.}

libs/@local/hashql/mir/src/pass/transform/inline/find.rs

cursor · 2026-01-19T10:23:32Z

libs/@local/hashql/mir/src/pass/transform/inline/find.rs

+        let target_source = self.properties[ptr].source;
+        if matches!(target_source, Source::Intrinsic(_)) {
+            return ControlFlow::Continue(());
+        }


Unbounded array access in FindApplyCall may panic

Medium Severity

FindApplyCall::visit_rvalue_apply accesses self.properties[ptr] directly without bounds checking. The properties slice contains entries for user-defined bodies with sequential small DefIds (0 to N-1), but intrinsic DefIds are in the 0xFFFF_FE00 range. If a body after inlining contains an Apply call to an intrinsic, accessing properties[intrinsic_def_id] causes an out-of-bounds panic. Using self.properties.get(ptr) and treating None as "target not in domain" (continue searching) would fix this.

github-actions · 2026-01-19T11:51:56Z

Benchmark results

@rust/hash-graph-benches – Integrations

policy_resolution_large

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2002	$$28.8 \mathrm{ms} \pm 272 \mathrm{μs}\left({\color{gray}-3.134 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.24 \mathrm{ms} \pm 17.1 \mathrm{μs}\left({\color{gray}-2.191 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1001	$$12.5 \mathrm{ms} \pm 89.6 \mathrm{μs}\left({\color{gray}0.053 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 3314	$$42.8 \mathrm{ms} \pm 316 \mathrm{μs}\left({\color{gray}0.489 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$14.5 \mathrm{ms} \pm 108 \mathrm{μs}\left({\color{gray}-3.694 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 1526	$$23.8 \mathrm{ms} \pm 168 \mathrm{μs}\left({\color{gray}-0.861 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 2078	$$30.8 \mathrm{ms} \pm 196 \mathrm{μs}\left({\color{lightgreen}-28.617 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.62 \mathrm{ms} \pm 19.8 \mathrm{μs}\left({\color{lightgreen}-82.550 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 1033	$$14.6 \mathrm{ms} \pm 122 \mathrm{μs}\left({\color{lightgreen}-49.488 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_medium

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 102	$$3.64 \mathrm{ms} \pm 19.2 \mathrm{μs}\left({\color{gray}-0.384 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.86 \mathrm{ms} \pm 13.3 \mathrm{μs}\left({\color{gray}0.022 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 51	$$3.22 \mathrm{ms} \pm 15.7 \mathrm{μs}\left({\color{gray}-1.973 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 269	$$5.00 \mathrm{ms} \pm 23.3 \mathrm{μs}\left({\color{gray}-0.814 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.42 \mathrm{ms} \pm 15.7 \mathrm{μs}\left({\color{gray}-0.383 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 107	$$3.98 \mathrm{ms} \pm 28.7 \mathrm{μs}\left({\color{gray}-0.095 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 133	$$4.27 \mathrm{ms} \pm 23.5 \mathrm{μs}\left({\color{gray}-0.779 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.32 \mathrm{ms} \pm 16.2 \mathrm{μs}\left({\color{gray}0.830 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 63	$$3.86 \mathrm{ms} \pm 22.0 \mathrm{μs}\left({\color{gray}-1.169 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_none

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2	$$2.62 \mathrm{ms} \pm 14.1 \mathrm{μs}\left({\color{red}6.88 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.54 \mathrm{ms} \pm 14.4 \mathrm{μs}\left({\color{red}7.54 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1	$$2.65 \mathrm{ms} \pm 14.1 \mathrm{μs}\left({\color{red}9.52 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 8	$$2.87 \mathrm{ms} \pm 24.6 \mathrm{μs}\left({\color{red}8.26 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$2.76 \mathrm{ms} \pm 13.0 \mathrm{μs}\left({\color{red}8.50 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 3	$$2.95 \mathrm{ms} \pm 21.6 \mathrm{μs}\left({\color{red}7.76 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_small

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 52	$$2.91 \mathrm{ms} \pm 17.2 \mathrm{μs}\left({\color{gray}4.24 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.61 \mathrm{ms} \pm 13.1 \mathrm{μs}\left({\color{red}6.30 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 25	$$2.78 \mathrm{ms} \pm 17.1 \mathrm{μs}\left({\color{red}5.77 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 94	$$3.29 \mathrm{ms} \pm 17.3 \mathrm{μs}\left({\color{gray}4.31 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$2.95 \mathrm{ms} \pm 19.6 \mathrm{μs}\left({\color{red}8.64 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 26	$$3.07 \mathrm{ms} \pm 15.7 \mathrm{μs}\left({\color{gray}5.00 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 66	$$3.16 \mathrm{ms} \pm 14.8 \mathrm{μs}\left({\color{gray}4.81 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$2.82 \mathrm{ms} \pm 18.6 \mathrm{μs}\left({\color{red}5.61 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 29	$$3.06 \mathrm{ms} \pm 19.1 \mathrm{μs}\left({\color{gray}4.95 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_complete

Function	Value	Mean	Flame graphs
entity_by_id;one_depth	1 entities	$$39.4 \mathrm{ms} \pm 141 \mathrm{μs}\left({\color{gray}1.19 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	10 entities	$$79.4 \mathrm{ms} \pm 515 \mathrm{μs}\left({\color{red}5.14 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	25 entities	$$44.3 \mathrm{ms} \pm 172 \mathrm{μs}\left({\color{gray}0.383 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	5 entities	$$45.7 \mathrm{ms} \pm 241 \mathrm{μs}\left({\color{gray}-0.160 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	50 entities	$$55.0 \mathrm{ms} \pm 283 \mathrm{μs}\left({\color{gray}2.94 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	1 entities	$$40.1 \mathrm{ms} \pm 170 \mathrm{μs}\left({\color{gray}-2.204 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	10 entities	$$419 \mathrm{ms} \pm 887 \mathrm{μs}\left({\color{gray}1.94 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	25 entities	$$91.1 \mathrm{ms} \pm 383 \mathrm{μs}\left({\color{gray}-4.681 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	5 entities	$$86.8 \mathrm{ms} \pm 433 \mathrm{μs}\left({\color{gray}1.93 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	50 entities	$$283 \mathrm{ms} \pm 587 \mathrm{μs}\left({\color{gray}1.11 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	1 entities	$$14.7 \mathrm{ms} \pm 76.1 \mathrm{μs}\left({\color{gray}-2.190 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	10 entities	$$15.2 \mathrm{ms} \pm 68.6 \mathrm{μs}\left({\color{gray}2.50 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	25 entities	$$15.3 \mathrm{ms} \pm 78.7 \mathrm{μs}\left({\color{gray}0.987 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	5 entities	$$15.0 \mathrm{ms} \pm 79.0 \mathrm{μs}\left({\color{gray}-0.146 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	50 entities	$$18.5 \mathrm{ms} \pm 96.9 \mathrm{μs}\left({\color{gray}2.26 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_linkless

Function	Value	Mean	Flame graphs
entity_by_id	1 entities	$$14.6 \mathrm{ms} \pm 85.8 \mathrm{μs}\left({\color{gray}0.037 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10 entities	$$14.9 \mathrm{ms} \pm 85.2 \mathrm{μs}\left({\color{gray}1.42 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	100 entities	$$14.9 \mathrm{ms} \pm 83.5 \mathrm{μs}\left({\color{gray}1.22 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	1000 entities	$$15.5 \mathrm{ms} \pm 90.2 \mathrm{μs}\left({\color{gray}-1.157 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10000 entities	$$23.5 \mathrm{ms} \pm 191 \mathrm{μs}\left({\color{gray}2.84 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity

Function	Value	Mean	Flame graphs
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/block/v/1`	$$30.6 \mathrm{ms} \pm 292 \mathrm{μs}\left({\color{gray}-0.493 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/book/v/1`	$$30.0 \mathrm{ms} \pm 290 \mathrm{μs}\left({\color{gray}-0.805 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/building/v/1`	$$28.9 \mathrm{ms} \pm 275 \mathrm{μs}\left({\color{lightgreen}-5.257 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/organization/v/1`	$$30.6 \mathrm{ms} \pm 302 \mathrm{μs}\left({\color{gray}1.10 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/page/v/2`	$$30.1 \mathrm{ms} \pm 295 \mathrm{μs}\left({\color{gray}-1.723 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/person/v/1`	$$30.5 \mathrm{ms} \pm 338 \mathrm{μs}\left({\color{gray}-1.212 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/playlist/v/1`	$$30.2 \mathrm{ms} \pm 273 \mathrm{μs}\left({\color{lightgreen}-6.050 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/song/v/1`	$$29.8 \mathrm{ms} \pm 340 \mathrm{μs}\left({\color{lightgreen}-5.227 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/uk-address/v/1`	$$29.7 \mathrm{ms} \pm 283 \mathrm{μs}\left({\color{gray}-1.949 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity_type

Function	Value	Mean	Flame graphs
get_entity_type_by_id	Account ID: `bf5a9ef5-dc3b-43cf-a291-6210c0321eba`	$$8.11 \mathrm{ms} \pm 40.8 \mathrm{μs}\left({\color{gray}-0.873 \mathrm{\%}}\right) $$	Flame Graph

representative_read_multiple_entities

Function	Value	Mean	Flame graphs
entity_by_property	traversal_paths=0	0	$$47.6 \mathrm{ms} \pm 181 \mathrm{μs}\left({\color{gray}0.629 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$95.2 \mathrm{ms} \pm 388 \mathrm{μs}\left({\color{gray}-0.168 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$53.6 \mathrm{ms} \pm 291 \mathrm{μs}\left({\color{gray}-0.685 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$61.4 \mathrm{ms} \pm 299 \mathrm{μs}\left({\color{gray}0.578 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$69.9 \mathrm{ms} \pm 393 \mathrm{μs}\left({\color{gray}-0.331 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$75.8 \mathrm{ms} \pm 366 \mathrm{μs}\left({\color{gray}-0.937 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=0	0	$$51.1 \mathrm{ms} \pm 303 \mathrm{μs}\left({\color{gray}1.34 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$78.8 \mathrm{ms} \pm 381 \mathrm{μs}\left({\color{gray}1.30 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$58.5 \mathrm{ms} \pm 392 \mathrm{μs}\left({\color{gray}1.39 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$67.7 \mathrm{ms} \pm 558 \mathrm{μs}\left({\color{gray}4.46 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$67.9 \mathrm{ms} \pm 281 \mathrm{μs}\left({\color{gray}-1.418 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$67.8 \mathrm{ms} \pm 270 \mathrm{μs}\left({\color{gray}-0.901 \mathrm{\%}}\right) $$

scenarios

Function	Value	Mean	Flame graphs
full_test	query-limited	$$145 \mathrm{ms} \pm 391 \mathrm{μs}\left({\color{red}5.32 \mathrm{\%}}\right) $$	Flame Graph
full_test	query-unlimited	$$143 \mathrm{ms} \pm 531 \mathrm{μs}\left({\color{gray}3.62 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-limited	$$41.2 \mathrm{ms} \pm 231 \mathrm{μs}\left({\color{lightgreen}-60.192 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-unlimited	$$591 \mathrm{ms} \pm 1.04 \mathrm{ms}\left({\color{gray}-0.325 \mathrm{\%}}\right) $$	Flame Graph

graphite-app bot assigned indietyp Jan 3, 2026

github-actions bot added area/deps Relates to third-party dependencies (area) area/libs Relates to first-party libraries/crates/packages (area) type/eng > backend Owned by the @backend team area/tests New or updated tests labels Jan 3, 2026

indietyp mentioned this pull request Jan 3, 2026

BE-269: HashQL: Move PreInline out into Canonicalization pass #8239

Merged

3 tasks

github-actions bot removed the area/deps Relates to third-party dependencies (area) label Jan 3, 2026

augmentcode bot reviewed Jan 3, 2026

View reviewed changes

libs/@local/hashql/mir/src/pass/transform/inline/mod.rs Outdated Show resolved Hide resolved

libs/@local/hashql/mir/src/pass/transform/inline/find.rs Show resolved Hide resolved

vercel bot deployed to Preview – petrinaut January 3, 2026 21:25 View deployment

vercel bot deployed to Preview – petrinaut January 17, 2026 18:00 View deployment

vercel bot deployed to Preview – hash January 17, 2026 18:03 View deployment

graphite-app bot changed the base branch from bm/be-269-hashql-move-out-most-of-preinline-into-a-canonicalization to graphite-base/8240 January 19, 2026 09:55

indietyp added 7 commits January 19, 2026 10:15

feat: tests

aeb780f

feat: ensure that is_leaf propagates

4af76ae

feat: add pipeline to benchmark

f85e06b

chore: remove tracing dep

ac77bdc

chore: remove tracing mention

ec6d120

feat: create new inlineable cfg benchmark

4595565

chore: format

c9fa861

indietyp force-pushed the graphite-base/8240 branch from 1ac5573 to 7b09441 Compare January 19, 2026 10:15

indietyp force-pushed the bm/be-271-hashql-implement-postinline-pass branch from 4ce88ba to c9fa861 Compare January 19, 2026 10:15

vercel bot temporarily deployed to Preview – petrinaut January 19, 2026 10:15 Inactive

graphite-app bot changed the base branch from graphite-base/8240 to main January 19, 2026 10:16

cursor bot reviewed Jan 19, 2026

View reviewed changes

vercel bot deployed to Preview – hash January 19, 2026 10:24 View deployment

indietyp added this pull request to the merge queue Jan 19, 2026

Merged via the queue into main with commit b51cad9 Jan 19, 2026
168 of 196 checks passed

indietyp deleted the bm/be-271-hashql-implement-postinline-pass branch January 19, 2026 11:01

This was referenced Jan 20, 2026

BE-301: HashQL: Implement size estimation analysis for MIR #8278

Open

BE-315: HashQL: Add GraphReadFilter source variant to MIR #8323

Open

BE-317: HashQL: Implement TraversalExtraction pass #8331

Open

Conversation

indietyp commented Jan 3, 2026

🌟 What is the purpose of this PR?

🔍 What does this change?

Pre-Merge Checklist 🚀

🚢 Has this modified a publishable library?

📜 Does this require a change to the docs?

🕸️ Does this require a change to the Turbo Graph?

Uh oh!

cursor bot commented Jan 3, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

PR Summary

Uh oh!

indietyp commented Jan 3, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Uh oh!

augmentcode bot commented Jan 3, 2026

Uh oh!

augmentcode bot left a comment

Choose a reason for hiding this comment

Uh oh!

Uh oh!

Uh oh!

codspeed-hq bot commented Jan 3, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

CodSpeed Performance Report

Merging this PR will degrade performance by 23.94%

Summary

Performance Changes

Footnotes

Uh oh!

graphite-app bot commented Jan 19, 2026

Merge activity

Uh oh!

cursor bot left a comment

Choose a reason for hiding this comment

Uh oh!

Uh oh!

cursor bot Jan 19, 2026

Choose a reason for hiding this comment

Unbounded array access in FindApplyCall may panic

Uh oh!

Uh oh!

github-actions bot commented Jan 19, 2026

Benchmark results

@rust/hash-graph-benches – Integrations

policy_resolution_large

policy_resolution_medium

policy_resolution_none

policy_resolution_small

read_scaling_complete

read_scaling_linkless

representative_read_entity

representative_read_entity_type

representative_read_multiple_entities

scenarios

Uh oh!

Reviewers

Assignees

Labels

Milestone

Development

Uh oh!

2 participants

cursor bot commented Jan 3, 2026 •

edited

Loading

indietyp commented Jan 3, 2026 •

edited

Loading

codspeed-hq bot commented Jan 3, 2026 •

edited

Loading

Unbounded array access in `FindApplyCall` may panic