BE-248, BE-252: HashQL: Implement Dead Local Elimination (DLE) and use bump allocator throughout passes

[indietyp]

🌟 What is the purpose of this PR?

This PR introduces a BumpAllocator trait to standardize arena-style memory management across the codebase. It also adds a new DeadLocalElimination pass to remove unused local variables from MIR bodies, and integrates it with the existing DeadStoreElimination pass.

Using the new BumpAllocator throughout, instead of managing their own memory results in a speedup of roughly ~5-15%.

🔍 What does this change?

• Adds a new BumpAllocator trait in core/src/heap/bump.rs that provides a common interface for arena allocators
• Implements BumpAllocator for both Heap and Scratch allocators
• Adds a new DeadLocalElimination pass that physically removes unused locals from MIR bodies
• Modifies transform passes to accept a BumpAllocator parameter for better memory reuse
• Updates CfgSimplify, DeadStoreElimination, and Sroa passes to use the new allocator pattern
• Integrates DeadLocalElimination into DeadStoreElimination to compact local declarations after removing dead stores

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

🛡 What tests cover this?

• Added comprehensive test suite for the new DeadLocalElimination pass
• Existing tests for transform passes have been updated to use the new allocator pattern
• Snapshot tests verify the correct behavior of dead local elimination

[cursor]

PR Summary

Introduce a generic BumpAllocator and integrate per-pass scratch allocation across MIR transforms, add a new Dead Local Elimination pass, refactor CfgSimplify/SROA/DSE/SsaRepair, and update tests/benchmarks accordingly.

• feat(core): Bump-style allocation
  • Introduce BumpAllocator trait with allocate_slice_copy and reset.
  • Implement BumpAllocator for heap::Allocator, Heap, and Scratch; move slice/string allocation via allocate_slice_copy; add fast_hash_map_in/fast_hash_set_in and FastHasher alias.
• refactor(mir passes)
  • Generalize CfgSimplify, Sroa, DeadStoreElimination, and SsaRepair to accept a BumpAllocator (new new_in constructors) and use per-run Scratch for temp state.
  • Simplify CfgSimplify internals (no persistent RPO set; compute per run) and call DeadBlockElimination::new_in(...).run(...); make DeadBlockElimination generic over allocator and allocate transient sets via *_in helpers.
  • Update transfer.rs to use allocator-agnostic BumpAllocator methods; remove direct try_alloc_str path.
• feat(mir): Dead Local Elimination
  • Add pass/transform/dle with DeadLocalElimination that finds unused locals (via DenseBitSet/visitors) and compacts locals; integrate into DeadStoreElimination via .with_dead(...) and run after DSE.
  • Update tests and golden snapshots to reflect removed dead locals and simplified block params; add dedicated DLE tests.
• Tooling & benches
  • compiletest helpers now thread a Scratch allocator and return it; use new_in(...) when constructing passes.
  • Add SROA benchmarks; update pipeline bench to use per-pass scratch; minor SVG class/id changes in generated diagrams.

^{Written by Cursor Bugbot for commit d241e3e. This will update automatically on new commits. Configure here.}

[indietyp]

• BE-253: HashQL: Optimize away special casing for logical operators in MIR #8199
• BE-248, BE-252: HashQL: Implement Dead Local Elimination (DLE) and use bump allocator throughout passes #8198 👈 (View in Graphite)
• H-5877: Add MIR builder testing framework to HashQL skill documentation #8197
• BE-251: HashQL: Add benchmarks for MIR transformation passes #8196
• Update Rust toolchains to nightly-2025-12-15 #8172
• BE-249: Remove dependence on nightly allocator api in dependencies and modularize heap #8193
• H-5880: Adopt open Agent Skills standard #8201
• main

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

[graphite-app]

Merge activity

• Dec 19, 4:35 PM UTC: Graphite rebased this pull request, because this pull request is set to merge when ready.

[codecov]

Codecov Report

❌ Patch coverage is 95.66396% with 16 lines in your changes missing coverage. Please review.
✅ Project coverage is 58.90%. Comparing base (ec0c785) to head (d241e3e).
⚠️ Report is 2 commits behind head on main.

Files with missing lines	Patch %	Lines
libs/@local/hashql/core/src/heap/bump.rs	50.00%	6 Missing ⚠️
libs/@local/hashql/core/src/heap/allocator.rs	40.00%	3 Missing ⚠️
libs/@local/hashql/core/src/heap/scratch.rs	50.00%	3 Missing ⚠️
...al/hashql/mir/src/pass/transform/ssa_repair/mod.rs	87.50%	3 Missing ⚠️
libs/@local/hashql/mir/src/pass/transform/sroa.rs	83.33%	1 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #8198      +/-   ##
==========================================
+ Coverage   58.77%   58.90%   +0.13%     
==========================================
  Files        1189     1192       +3     
  Lines      112425   112690     +265     
  Branches     5010     5013       +3     
==========================================
+ Hits        66074    66378     +304     
+ Misses      45593    45554      -39     
  Partials      758      758              

Flag	Coverage Δ
apps.hash-ai-worker-ts	1.32% <ø> (ø)
apps.hash-api	0.00% <ø> (ø)
local.hash-graph-sdk	10.88% <ø> (ø)
local.hash-isomorphic-utils	0.00% <ø> (ø)
rust.hash-graph-api	2.89% <ø> (ø)
rust.hashql-ast	87.25% <ø> (ø)
rust.hashql-compiletest	46.65% <ø> (ø)
rust.hashql-core	82.36% <70.00%> (+0.02%)	⬆️
rust.hashql-eval	68.54% <ø> (ø)
rust.hashql-hir	89.10% <ø> (ø)
rust.hashql-mir	88.35% <98.78%> (+0.82%)	⬆️
rust.hashql-syntax-jexpr	94.05% <ø> (ø)

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[github-actions]

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	$$25.4 \mathrm{ms} \pm 166 \mathrm{μs}\left({\color{lightgreen}-5.714 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.18 \mathrm{ms} \pm 13.1 \mathrm{μs}\left({\color{gray}-0.375 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1001	$$11.5 \mathrm{ms} \pm 60.9 \mathrm{μs}\left({\color{gray}-0.331 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 3314	$$40.5 \mathrm{ms} \pm 276 \mathrm{μs}\left({\color{gray}-1.166 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$13.6 \mathrm{ms} \pm 74.9 \mathrm{μs}\left({\color{gray}0.766 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 1526	$$22.1 \mathrm{ms} \pm 140 \mathrm{μs}\left({\color{gray}-0.783 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 2078	$$25.1 \mathrm{ms} \pm 126 \mathrm{μs}\left({\color{lightgreen}-39.325 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.56 \mathrm{ms} \pm 14.3 \mathrm{μs}\left({\color{lightgreen}-81.713 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 1033	$$10.8 \mathrm{ms} \pm 67.7 \mathrm{μs}\left({\color{lightgreen}-59.357 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_medium

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 102	$$3.59 \mathrm{ms} \pm 13.9 \mathrm{μs}\left({\color{gray}-0.109 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.76 \mathrm{ms} \pm 8.85 \mathrm{μs}\left({\color{gray}-0.882 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 51	$$3.14 \mathrm{ms} \pm 13.1 \mathrm{μs}\left({\color{gray}0.319 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 269	$$4.91 \mathrm{ms} \pm 21.1 \mathrm{μs}\left({\color{gray}-0.418 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.32 \mathrm{ms} \pm 15.3 \mathrm{μs}\left({\color{gray}-0.465 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 107	$$3.91 \mathrm{ms} \pm 17.0 \mathrm{μs}\left({\color{gray}1.27 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 133	$$4.16 \mathrm{ms} \pm 22.4 \mathrm{μs}\left({\color{gray}-0.755 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.24 \mathrm{ms} \pm 15.1 \mathrm{μs}\left({\color{gray}1.75 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 63	$$3.76 \mathrm{ms} \pm 20.3 \mathrm{μs}\left({\color{gray}-0.654 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_none

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2	$$2.52 \mathrm{ms} \pm 10.7 \mathrm{μs}\left({\color{red}5.72 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.45 \mathrm{ms} \pm 9.83 \mathrm{μs}\left({\color{red}7.37 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1	$$2.53 \mathrm{ms} \pm 9.75 \mathrm{μs}\left({\color{red}6.27 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 8	$$2.72 \mathrm{ms} \pm 11.0 \mathrm{μs}\left({\color{red}5.71 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$2.63 \mathrm{ms} \pm 9.43 \mathrm{μs}\left({\color{red}6.00 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 3	$$2.86 \mathrm{ms} \pm 14.5 \mathrm{μs}\left({\color{red}8.13 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_small

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 52	$$2.87 \mathrm{ms} \pm 11.6 \mathrm{μs}\left({\color{red}5.28 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.57 \mathrm{ms} \pm 10.4 \mathrm{μs}\left({\color{red}5.87 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 25	$$2.75 \mathrm{ms} \pm 10.4 \mathrm{μs}\left({\color{red}7.50 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 94	$$3.21 \mathrm{ms} \pm 16.4 \mathrm{μs}\left({\color{red}5.23 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$2.79 \mathrm{ms} \pm 11.3 \mathrm{μs}\left({\color{red}5.93 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 26	$$2.99 \mathrm{ms} \pm 12.0 \mathrm{μs}\left({\color{red}5.39 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 66	$$3.12 \mathrm{ms} \pm 14.2 \mathrm{μs}\left({\color{gray}3.96 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$2.77 \mathrm{ms} \pm 12.2 \mathrm{μs}\left({\color{red}6.38 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 29	$$3.00 \mathrm{ms} \pm 11.8 \mathrm{μs}\left({\color{red}5.73 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_complete

Function	Value	Mean	Flame graphs
entity_by_id;one_depth	1 entities	$$38.1 \mathrm{ms} \pm 164 \mathrm{μs}\left({\color{gray}-0.425 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	10 entities	$$74.9 \mathrm{ms} \pm 357 \mathrm{μs}\left({\color{gray}-0.722 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	25 entities	$$42.3 \mathrm{ms} \pm 198 \mathrm{μs}\left({\color{gray}2.90 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	5 entities	$$45.2 \mathrm{ms} \pm 248 \mathrm{μs}\left({\color{gray}2.83 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	50 entities	$$52.8 \mathrm{ms} \pm 395 \mathrm{μs}\left({\color{gray}2.54 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	1 entities	$$39.4 \mathrm{ms} \pm 150 \mathrm{μs}\left({\color{gray}0.019 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	10 entities	$$410 \mathrm{ms} \pm 895 \mathrm{μs}\left({\color{gray}-1.992 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	25 entities	$$87.4 \mathrm{ms} \pm 430 \mathrm{μs}\left({\color{gray}0.349 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	5 entities	$$83.4 \mathrm{ms} \pm 346 \mathrm{μs}\left({\color{gray}1.95 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	50 entities	$$303 \mathrm{ms} \pm 728 \mathrm{μs}\left({\color{red}10.7 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	1 entities	$$14.5 \mathrm{ms} \pm 66.4 \mathrm{μs}\left({\color{gray}1.21 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	10 entities	$$14.7 \mathrm{ms} \pm 42.9 \mathrm{μs}\left({\color{gray}2.31 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	25 entities	$$14.8 \mathrm{ms} \pm 54.2 \mathrm{μs}\left({\color{gray}2.29 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	5 entities	$$14.5 \mathrm{ms} \pm 53.0 \mathrm{μs}\left({\color{gray}1.31 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	50 entities	$$17.6 \mathrm{ms} \pm 92.0 \mathrm{μs}\left({\color{gray}2.02 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_linkless

Function	Value	Mean	Flame graphs
entity_by_id	1 entities	$$14.2 \mathrm{ms} \pm 63.0 \mathrm{μs}\left({\color{gray}2.40 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10 entities	$$14.5 \mathrm{ms} \pm 60.7 \mathrm{μs}\left({\color{gray}3.33 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	100 entities	$$14.4 \mathrm{ms} \pm 46.7 \mathrm{μs}\left({\color{gray}1.03 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	1000 entities	$$14.9 \mathrm{ms} \pm 66.8 \mathrm{μs}\left({\color{gray}0.766 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10000 entities	$$22.0 \mathrm{ms} \pm 152 \mathrm{μs}\left({\color{gray}1.07 \mathrm{\%}}\right) $$	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	$$28.8 \mathrm{ms} \pm 213 \mathrm{μs}\left({\color{gray}-0.560 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/book/v/1	$$29.5 \mathrm{ms} \pm 291 \mathrm{μs}\left({\color{gray}2.44 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/building/v/1	$$29.5 \mathrm{ms} \pm 253 \mathrm{μs}\left({\color{gray}0.068 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/organization/v/1	$$28.7 \mathrm{ms} \pm 249 \mathrm{μs}\left({\color{gray}-0.970 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/page/v/2	$$29.0 \mathrm{ms} \pm 309 \mathrm{μs}\left({\color{gray}0.441 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/person/v/1	$$29.5 \mathrm{ms} \pm 218 \mathrm{μs}\left({\color{gray}1.99 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/playlist/v/1	$$28.0 \mathrm{ms} \pm 236 \mathrm{μs}\left({\color{gray}-2.932 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/song/v/1	$$28.8 \mathrm{ms} \pm 261 \mathrm{μs}\left({\color{gray}-1.453 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/uk-address/v/1	$$28.2 \mathrm{ms} \pm 267 \mathrm{μs}\left({\color{gray}0.167 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity_type

Function	Value	Mean	Flame graphs
get_entity_type_by_id	Account ID: bf5a9ef5-dc3b-43cf-a291-6210c0321eba	$$7.87 \mathrm{ms} \pm 31.8 \mathrm{μs}\left({\color{gray}0.156 \mathrm{\%}}\right) $$	Flame Graph

representative_read_multiple_entities

Function	Value	Mean	Flame graphs
entity_by_property	traversal_paths=0	0	$$44.0 \mathrm{ms} \pm 270 \mathrm{μs}\left({\color{gray}-0.040 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$91.4 \mathrm{ms} \pm 495 \mathrm{μs}\left({\color{gray}0.250 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$49.7 \mathrm{ms} \pm 375 \mathrm{μs}\left({\color{gray}-0.201 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$57.5 \mathrm{ms} \pm 330 \mathrm{μs}\left({\color{gray}-0.851 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$66.1 \mathrm{ms} \pm 436 \mathrm{μs}\left({\color{gray}-0.301 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$72.2 \mathrm{ms} \pm 401 \mathrm{μs}\left({\color{gray}-0.137 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=0	0	$$47.3 \mathrm{ms} \pm 259 \mathrm{μs}\left({\color{gray}0.081 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$74.0 \mathrm{ms} \pm 335 \mathrm{μs}\left({\color{gray}0.514 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$54.5 \mathrm{ms} \pm 408 \mathrm{μs}\left({\color{gray}0.277 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$61.4 \mathrm{ms} \pm 345 \mathrm{μs}\left({\color{gray}-0.292 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$63.3 \mathrm{ms} \pm 306 \mathrm{μs}\left({\color{gray}-0.587 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$63.7 \mathrm{ms} \pm 350 \mathrm{μs}\left({\color{gray}0.211 \mathrm{\%}}\right) $$

scenarios

Function	Value	Mean	Flame graphs
full_test	query-limited	$$133 \mathrm{ms} \pm 487 \mathrm{μs}\left({\color{red}5.28 \mathrm{\%}}\right) $$	Flame Graph
full_test	query-unlimited	$$131 \mathrm{ms} \pm 455 \mathrm{μs}\left({\color{gray}1.30 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-limited	$$39.1 \mathrm{ms} \pm 217 \mathrm{μs}\left({\color{lightgreen}-61.612 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-unlimited	$$558 \mathrm{ms} \pm 985 \mathrm{μs}\left({\color{lightgreen}-7.122 \mathrm{\%}}\right) $$	Flame Graph