BE-474: HashQL: Take into account terminator target eligibility in execution backend placement by indietyp · Pull Request #8587 · hashintel/hash

indietyp · 2026-03-26T08:16:39Z

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🚢 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

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vercel · 2026-03-26T08:16:43Z

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indietyp · 2026-03-26T08:17:03Z

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codecov · 2026-03-26T08:21:00Z

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codspeed-hq · 2026-03-26T08:25:08Z

Merging this PR will not alter performance

✅ 56 untouched benchmarks
⏩ 24 skipped benchmarks¹

_{Comparing bm/be-474-hashql-take-into-account-terminators-eligibility-when (53b27a5) with bm/be-455-hashql-create-evaluation-target-coordinator (8218a99)²}

24 benchmarks were skipped, so the baseline results were used instead. If they were deleted from the codebase, click here and archive them to remove them from the performance reports. ↩
No successful run was found on bm/be-455-hashql-create-evaluation-target-coordinator (fb8c612) during the generation of this report, so 8fa5b73 was used instead as the comparison base. There might be some changes unrelated to this pull request in this report. ↩

github-actions · 2026-03-26T09:41:14Z

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	$$27.8 \mathrm{ms} \pm 136 \mathrm{μs}\left({\color{gray}-3.901 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.62 \mathrm{ms} \pm 25.6 \mathrm{μs}\left({\color{gray}-1.700 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1001	$$13.4 \mathrm{ms} \pm 103 \mathrm{μs}\left({\color{gray}-1.260 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 3314	$$44.8 \mathrm{ms} \pm 324 \mathrm{μs}\left({\color{gray}0.081 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$16.1 \mathrm{ms} \pm 190 \mathrm{μs}\left({\color{gray}2.07 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 1526	$$25.5 \mathrm{ms} \pm 172 \mathrm{μs}\left({\color{gray}-2.757 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 2078	$$29.6 \mathrm{ms} \pm 217 \mathrm{μs}\left({\color{gray}-3.797 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.87 \mathrm{ms} \pm 18.0 \mathrm{μs}\left({\color{gray}-1.648 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 1033	$$14.5 \mathrm{ms} \pm 106 \mathrm{μs}\left({\color{gray}0.078 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_medium

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 102	$$4.00 \mathrm{ms} \pm 33.0 \mathrm{μs}\left({\color{gray}0.065 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.21 \mathrm{ms} \pm 30.7 \mathrm{μs}\left({\color{gray}0.543 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 51	$$3.56 \mathrm{ms} \pm 26.8 \mathrm{μs}\left({\color{gray}1.03 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 269	$$5.39 \mathrm{ms} \pm 25.8 \mathrm{μs}\left({\color{gray}-2.828 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.78 \mathrm{ms} \pm 26.9 \mathrm{μs}\left({\color{gray}-0.259 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 107	$$4.34 \mathrm{ms} \pm 26.0 \mathrm{μs}\left({\color{gray}-3.130 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 133	$$4.73 \mathrm{ms} \pm 35.4 \mathrm{μs}\left({\color{gray}0.652 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.62 \mathrm{ms} \pm 20.6 \mathrm{μs}\left({\color{gray}-0.402 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 63	$$4.33 \mathrm{ms} \pm 28.9 \mathrm{μs}\left({\color{gray}0.790 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_none

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2	$$2.90 \mathrm{ms} \pm 19.0 \mathrm{μs}\left({\color{gray}-0.291 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.92 \mathrm{ms} \pm 30.9 \mathrm{μs}\left({\color{gray}0.977 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1	$$2.97 \mathrm{ms} \pm 15.8 \mathrm{μs}\left({\color{gray}0.719 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 8	$$3.25 \mathrm{ms} \pm 23.0 \mathrm{μs}\left({\color{gray}-0.161 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.02 \mathrm{ms} \pm 12.5 \mathrm{μs}\left({\color{gray}-0.278 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 3	$$3.36 \mathrm{ms} \pm 28.5 \mathrm{μs}\left({\color{gray}0.242 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_small

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 52	$$3.26 \mathrm{ms} \pm 23.9 \mathrm{μs}\left({\color{gray}-0.203 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.98 \mathrm{ms} \pm 18.8 \mathrm{μs}\left({\color{gray}-1.244 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 25	$$3.14 \mathrm{ms} \pm 19.1 \mathrm{μs}\left({\color{gray}-1.640 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 94	$$3.73 \mathrm{ms} \pm 19.9 \mathrm{μs}\left({\color{gray}-2.972 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.29 \mathrm{ms} \pm 16.8 \mathrm{μs}\left({\color{gray}1.57 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 26	$$3.48 \mathrm{ms} \pm 18.2 \mathrm{μs}\left({\color{gray}-0.790 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 66	$$3.69 \mathrm{ms} \pm 36.7 \mathrm{μs}\left({\color{gray}1.62 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.30 \mathrm{ms} \pm 19.8 \mathrm{μs}\left({\color{gray}0.908 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 29	$$3.60 \mathrm{ms} \pm 31.2 \mathrm{μs}\left({\color{gray}1.61 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_complete

Function	Value	Mean	Flame graphs
entity_by_id;one_depth	1 entities	$$47.7 \mathrm{ms} \pm 288 \mathrm{μs}\left({\color{gray}1.93 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	10 entities	$$84.9 \mathrm{ms} \pm 455 \mathrm{μs}\left({\color{gray}-1.485 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	25 entities	$$51.7 \mathrm{ms} \pm 464 \mathrm{μs}\left({\color{gray}1.55 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	5 entities	$$54.4 \mathrm{ms} \pm 351 \mathrm{μs}\left({\color{gray}-2.555 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	50 entities	$$65.0 \mathrm{ms} \pm 508 \mathrm{μs}\left({\color{gray}1.26 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	1 entities	$$49.2 \mathrm{ms} \pm 380 \mathrm{μs}\left({\color{gray}-1.111 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	10 entities	$$421 \mathrm{ms} \pm 1.28 \mathrm{ms}\left({\color{gray}-0.152 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	25 entities	$$107 \mathrm{ms} \pm 593 \mathrm{μs}\left({\color{gray}1.15 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	5 entities	$$94.2 \mathrm{ms} \pm 483 \mathrm{μs}\left({\color{gray}-0.753 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	50 entities	$$300 \mathrm{ms} \pm 1.11 \mathrm{ms}\left({\color{lightgreen}-9.506 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	1 entities	$$20.7 \mathrm{ms} \pm 125 \mathrm{μs}\left({\color{gray}0.654 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	10 entities	$$21.4 \mathrm{ms} \pm 175 \mathrm{μs}\left({\color{gray}1.40 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	25 entities	$$21.3 \mathrm{ms} \pm 117 \mathrm{μs}\left({\color{gray}0.468 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	5 entities	$$21.5 \mathrm{ms} \pm 133 \mathrm{μs}\left({\color{gray}1.17 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	50 entities	$$25.3 \mathrm{ms} \pm 140 \mathrm{μs}\left({\color{gray}-1.958 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_linkless

Function	Value	Mean	Flame graphs
entity_by_id	1 entities	$$21.2 \mathrm{ms} \pm 150 \mathrm{μs}\left({\color{gray}3.42 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10 entities	$$20.4 \mathrm{ms} \pm 118 \mathrm{μs}\left({\color{gray}-3.548 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	100 entities	$$20.5 \mathrm{ms} \pm 170 \mathrm{μs}\left({\color{gray}-0.883 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	1000 entities	$$21.4 \mathrm{ms} \pm 208 \mathrm{μs}\left({\color{gray}2.00 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10000 entities	$$27.7 \mathrm{ms} \pm 262 \mathrm{μs}\left({\color{gray}-0.719 \mathrm{\%}}\right) $$	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`	$$37.0 \mathrm{ms} \pm 405 \mathrm{μs}\left({\color{gray}2.99 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/book/v/1`	$$37.8 \mathrm{ms} \pm 370 \mathrm{μs}\left({\color{gray}2.18 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/building/v/1`	$$36.4 \mathrm{ms} \pm 366 \mathrm{μs}\left({\color{gray}-1.189 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/organization/v/1`	$$34.8 \mathrm{ms} \pm 333 \mathrm{μs}\left({\color{gray}0.090 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/page/v/2`	$$35.6 \mathrm{ms} \pm 330 \mathrm{μs}\left({\color{gray}-0.308 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/person/v/1`	$$36.0 \mathrm{ms} \pm 323 \mathrm{μs}\left({\color{gray}-0.903 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/playlist/v/1`	$$35.2 \mathrm{ms} \pm 319 \mathrm{μs}\left({\color{gray}-0.922 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/song/v/1`	$$35.8 \mathrm{ms} \pm 372 \mathrm{μs}\left({\color{gray}-1.825 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/uk-address/v/1`	$$35.1 \mathrm{ms} \pm 386 \mathrm{μs}\left({\color{gray}-1.985 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity_type

Function	Value	Mean	Flame graphs
get_entity_type_by_id	Account ID: `bf5a9ef5-dc3b-43cf-a291-6210c0321eba`	$$8.92 \mathrm{ms} \pm 51.3 \mathrm{μs}\left({\color{gray}-0.900 \mathrm{\%}}\right) $$	Flame Graph

representative_read_multiple_entities

Function	Value	Mean	Flame graphs
entity_by_property	traversal_paths=0	0	$$97.9 \mathrm{ms} \pm 781 \mathrm{μs}\left({\color{gray}-2.317 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$151 \mathrm{ms} \pm 659 \mathrm{μs}\left({\color{gray}-0.213 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$105 \mathrm{ms} \pm 684 \mathrm{μs}\left({\color{gray}-1.201 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$115 \mathrm{ms} \pm 933 \mathrm{μs}\left({\color{gray}1.04 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$124 \mathrm{ms} \pm 851 \mathrm{μs}\left({\color{gray}-0.325 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$132 \mathrm{ms} \pm 1.08 \mathrm{ms}\left({\color{gray}-0.386 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=0	0	$$105 \mathrm{ms} \pm 702 \mathrm{μs}\left({\color{gray}-2.290 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$135 \mathrm{ms} \pm 634 \mathrm{μs}\left({\color{gray}-0.320 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$112 \mathrm{ms} \pm 658 \mathrm{μs}\left({\color{gray}-0.420 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$122 \mathrm{ms} \pm 691 \mathrm{μs}\left({\color{gray}0.684 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$125 \mathrm{ms} \pm 730 \mathrm{μs}\left({\color{gray}1.48 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$126 \mathrm{ms} \pm 801 \mathrm{μs}\left({\color{gray}1.70 \mathrm{\%}}\right) $$

scenarios

Function	Value	Mean	Flame graphs
full_test	query-limited	$$133 \mathrm{ms} \pm 657 \mathrm{μs}\left({\color{gray}1.50 \mathrm{\%}}\right) $$	Flame Graph
full_test	query-unlimited	$$142 \mathrm{ms} \pm 589 \mathrm{μs}\left({\color{gray}0.748 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-limited	$$106 \mathrm{ms} \pm 582 \mathrm{μs}\left({\color{gray}-0.316 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-unlimited	$$545 \mathrm{ms} \pm 1.43 \mathrm{ms}\left({\color{gray}-2.774 \mathrm{\%}}\right) $$	Flame Graph

vercel · 2026-03-31T20:56:59Z

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augmentcode · 2026-04-29T17:36:06Z

🤖 Augment PR Summary

Summary: Updates HashQL execution planning so backend placement accounts for whether a block’s terminator can run on a target (and what it costs), not just the block’s statements.

Changes:

Adds `FiniteBitSet::is_superset` / `is_subset` helpers (with tests) to compare target domains.
Introduces per-block TerminatorCostVec and threads terminator costs through statement placement, block splitting, and cost aggregation.
Extends basic-block splitting to optionally peel off a dedicated “terminator region” when terminator support is narrower/incomparable vs the last statement region.
Ensures synthesized split-chain Goto terminators get zero terminator cost via TerminatorCostVec::remap tests.
Renames/clarifies transition-matrix costs to TerminatorTransitionCostVec for the solver/AC-3 path, separating “transition costs” from “terminator execution costs”.
Updates MIR text formatting to support terminator annotations, and refreshes UI/snapshot expectations accordingly.
Adjusts eval UI postgres outputs to reflect updated planning/continuation SQL generation.

Notes: This touches core placement/solver inputs (domains, splitting, cost aggregation), so correctness hinges on terminator eligibility being represented consistently across targets and after splitting.

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indietyp added 6 commits March 22, 2026 18:24

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BE-306: HashQL: PostgreSQL translation #8526

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BE-455: HashQL: Introduce evaluation orchestrator #8586

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BE-482: HashQL: Remove logical not from MIR and fix postgres boolean lowering #8595

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BE-494: HashQL: Loop-breaker selection for recursive inlining #8600

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Comment thread libs/@local/hashql/mir/src/pass/execution/statement_placement/postgres/mod.rs

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indietyp commented Mar 26, 2026

🌟 What is the purpose of this PR?

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🔍 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?

⚠️ Known issues

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❓ How to test this?

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Codecov Report

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Merging this PR will not alter performance

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github-actions Bot commented Mar 26, 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

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vercel Bot commented Mar 26, 2026 •

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indietyp commented Mar 26, 2026 •

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