Update Rust toolchains to nightly-2026-09-26

[hash-dependencies]

This PR contains the following updates:

Package	Type	Update	Change
rust (source, changelog)		patch	nightly-2026-09-22 → nightly-2026-09-26
rust (source, changelog)	toolchain	patch	nightly-2026-09-22 → nightly-2026-09-26

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[vercel]

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[cursor]

PR Summary

Low Risk
Toolchain pin and unstable feature-flag renames only; no runtime or API behavior changes beyond staying compatible with the newer nightly.

Overview
Bumps the workspace Rust toolchain from nightly-2026-09-22 to nightly-2026-09-26 in rust-toolchain.toml, mise lockfile, and error-stack version badges.

Crates that depended on the nightly allocator_api feature gate now enable allocator_ext instead (graph API/atlas, HashQL ast/core/eval/mir/syntax-jexpr, orchestrator tests). allocator_api is dropped where it is no longer required (e.g. compiletest, HIR, MIR interpret bench).

Doc and doctest examples that only existed to enable allocator_api for allocator-aware snippets have those #![feature(...)] lines removed, since the examples no longer need that gate under the new nightly.

^{Reviewed by Cursor Bugbot for commit 8442381. Bugbot is set up for automated code reviews on this repo. Configure here.}

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 65.90%. Comparing base (48e1582) to head (8442381).
⚠️ Report is 6 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #9842      +/-   ##
==========================================
+ Coverage   65.56%   65.90%   +0.33%     
==========================================
  Files        1896     1905       +9     
  Lines      201506   209988    +8482     
  Branches     8028     8218     +190     
==========================================
+ Hits       132115   138386    +6271     
- Misses      67841    70053    +2212     
+ Partials     1550     1549       -1     

Flag	Coverage Δ
hash-graph	14.11% <ø> (+1.78%)	⬆️
hash-graph-api	33.18% <ø> (+0.98%)	⬆️
hash-graph-atlas	80.01% <ø> (-0.18%)	⬇️
hashql-ast	90.01% <ø> (+0.39%)	⬆️
hashql-compiletest	28.71% <ø> (+0.30%)	⬆️
hashql-core	81.41% <ø> (?)
hashql-eval	79.77% <ø> (-0.30%)	⬇️
hashql-hir	89.10% <ø> (+<0.01%)	⬆️
hashql-mir	87.22% <ø> (-0.40%)	⬇️
hashql-syntax-jexpr	94.77% <ø> (+0.73%)	⬆️

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[codspeed]

Merging this PR will regress 2 benchmarks

⚠️ 6 benchmarks measured no execution time

Nothing ran under measurement, usually because the compiler removed the code under test. These results are not comparable, so they count as unchanged.

Preventing compiler optimizations

⚠️ Different runtime environments detected

Some benchmarks with significant performance changes were compared across different runtime environments,
which may affect the accuracy of the results.

Open the report in CodSpeed to investigate

⚡ 7 improved benchmarks
❌ 2 regressed benchmarks
✅ 89 untouched benchmarks

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

	Benchmark	BASE	HEAD	Efficiency
❌	bit_matrix/dense/iter_row[64]	169.2 ns	195.6 ns	-13.49%
❌	bit_matrix/dense/iter_row[200]	206.7 ns	233.1 ns	-11.32%
⚡	runtime	89.2 ns	29.7 ns	×3
⚡	constant	88.6 ns	29.7 ns	×3
⚡	bit_matrix/dense/contains[1000]	5.6 ms	4.5 ms	+24.66%
⚡	bit_matrix/dense/contains[64]	23.4 µs	18.7 µs	+24.6%
⚡	bit_matrix/dense/contains[200]	225.8 µs	181.3 µs	+24.54%
⚡	runtime	433.1 ns	374.2 ns	+15.74%
👁	pattern_match_constant	180.6 ns	150.8 ns	+19.71%
⚠️	as_constant	< 1 ns	< 1 ns	N/A
⚠️	constant_equal	< 1 ns	< 1 ns	N/A
⚠️	constant_not_equal	< 1 ns	< 1 ns	N/A
⚠️	access	< 1 ns	< 1 ns	N/A
⚠️	runtime_equal	< 1 ns	< 1 ns	N/A
⚠️	runtime_not_equal	< 1 ns	< 1 ns	N/A

Tip

Investigate this regression by commenting @codspeedbot fix this regression on this PR, or directly use the CodSpeed MCP with your agent.

---

_{Comparing deps/rs/rust-toolchains (8442381) with main (f9b74c5)}

[github-actions]

Benchmark results

hash-graph-benches – Integrations

policy_resolution_large

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2002	$$28.9 \mathrm{ms} \pm 291 \mathrm{μs}\left({\color{gray}-1.898 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.78 \mathrm{ms} \pm 47.5 \mathrm{μs}\left({\color{red}6.91 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1002	$$14.6 \mathrm{ms} \pm 161 \mathrm{μs}\left({\color{red}7.56 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 3314	$$47.4 \mathrm{ms} \pm 688 \mathrm{μs}\left({\color{gray}3.08 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$15.5 \mathrm{ms} \pm 223 \mathrm{μs}\left({\color{gray}3.61 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 1527	$$26.4 \mathrm{ms} \pm 398 \mathrm{μs}\left({\color{gray}0.732 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 2078	$$30.1 \mathrm{ms} \pm 254 \mathrm{μs}\left({\color{gray}-2.028 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$4.13 \mathrm{ms} \pm 39.3 \mathrm{μs}\left({\color{red}6.77 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 1033	$$15.8 \mathrm{ms} \pm 149 \mathrm{μs}\left({\color{red}9.88 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_medium

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 102	$$3.91 \mathrm{ms} \pm 30.8 \mathrm{μs}\left({\color{gray}-1.231 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.14 \mathrm{ms} \pm 31.5 \mathrm{μs}\left({\color{gray}-0.392 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 52	$$3.48 \mathrm{ms} \pm 29.6 \mathrm{μs}\left({\color{gray}-4.877 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 269	$$5.36 \mathrm{ms} \pm 43.9 \mathrm{μs}\left({\color{gray}-1.140 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.67 \mathrm{ms} \pm 26.8 \mathrm{μs}\left({\color{gray}-0.120 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 108	$$4.28 \mathrm{ms} \pm 35.1 \mathrm{μs}\left({\color{gray}-0.213 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 133	$$4.59 \mathrm{ms} \pm 45.2 \mathrm{μs}\left({\color{gray}-1.895 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.57 \mathrm{ms} \pm 26.2 \mathrm{μs}\left({\color{gray}-2.036 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 63	$$4.29 \mathrm{ms} \pm 47.4 \mathrm{μs}\left({\color{lightgreen}-6.135 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_none

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2	$$2.82 \mathrm{ms} \pm 32.7 \mathrm{μs}\left({\color{gray}0.909 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.75 \mathrm{ms} \pm 23.3 \mathrm{μs}\left({\color{gray}-0.113 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 2	$$2.87 \mathrm{ms} \pm 19.6 \mathrm{μs}\left({\color{gray}0.078 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 8	$$3.24 \mathrm{ms} \pm 39.0 \mathrm{μs}\left({\color{gray}3.47 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.01 \mathrm{ms} \pm 32.6 \mathrm{μs}\left({\color{gray}1.10 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 3	$$3.29 \mathrm{ms} \pm 27.4 \mathrm{μs}\left({\color{gray}-0.693 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_small

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 52	$$3.17 \mathrm{ms} \pm 25.9 \mathrm{μs}\left({\color{gray}-1.959 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.85 \mathrm{ms} \pm 20.8 \mathrm{μs}\left({\color{gray}-0.734 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 26	$$3.03 \mathrm{ms} \pm 20.9 \mathrm{μs}\left({\color{gray}-0.222 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 94	$$3.62 \mathrm{ms} \pm 27.5 \mathrm{μs}\left({\color{gray}-1.434 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.15 \mathrm{ms} \pm 29.9 \mathrm{μs}\left({\color{gray}1.38 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 27	$$3.37 \mathrm{ms} \pm 29.0 \mathrm{μs}\left({\color{gray}-1.307 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 66	$$3.54 \mathrm{ms} \pm 29.4 \mathrm{μs}\left({\color{gray}-0.798 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.11 \mathrm{ms} \pm 23.0 \mathrm{μs}\left({\color{gray}-0.910 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 29	$$3.45 \mathrm{ms} \pm 38.7 \mathrm{μs}\left({\color{gray}0.141 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_complete

Function	Value	Mean	Flame graphs
entity_by_id;one_depth	1 entities	$$33.2 \mathrm{ms} \pm 307 \mathrm{μs}\left({\color{gray}2.20 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	10 entities	$$74.5 \mathrm{ms} \pm 512 \mathrm{μs}\left({\color{gray}2.71 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	25 entities	$$38.1 \mathrm{ms} \pm 256 \mathrm{μs}\left({\color{red}5.25 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	5 entities	$$41.9 \mathrm{ms} \pm 306 \mathrm{μs}\left({\color{red}6.08 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	50 entities	$$43.2 \mathrm{ms} \pm 340 \mathrm{μs}\left({\color{gray}1.15 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	1 entities	$$35.4 \mathrm{ms} \pm 275 \mathrm{μs}\left({\color{gray}3.01 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	10 entities	$$441 \mathrm{ms} \pm 1.78 \mathrm{ms}\left({\color{gray}2.55 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	25 entities	$$97.4 \mathrm{ms} \pm 828 \mathrm{μs}\left({\color{gray}4.86 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	5 entities	$$82.0 \mathrm{ms} \pm 583 \mathrm{μs}\left({\color{gray}-0.029 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	50 entities	$$319 \mathrm{ms} \pm 1.32 \mathrm{ms}\left({\color{red}12.1 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	1 entities	$$11.4 \mathrm{ms} \pm 85.8 \mathrm{μs}\left({\color{red}8.34 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	10 entities	$$11.2 \mathrm{ms} \pm 87.9 \mathrm{μs}\left({\color{gray}4.34 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	25 entities	$$11.6 \mathrm{ms} \pm 93.8 \mathrm{μs}\left({\color{red}7.60 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	5 entities	$$11.4 \mathrm{ms} \pm 87.2 \mathrm{μs}\left({\color{red}5.74 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	50 entities	$$11.5 \mathrm{ms} \pm 95.1 \mathrm{μs}\left({\color{gray}4.13 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_linkless

Function	Value	Mean	Flame graphs
entity_by_id	1 entities	$$11.9 \mathrm{ms} \pm 94.7 \mathrm{μs}\left({\color{red}11.3 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10 entities	$$11.3 \mathrm{ms} \pm 81.2 \mathrm{μs}\left({\color{red}6.68 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	100 entities	$$11.1 \mathrm{ms} \pm 98.1 \mathrm{μs}\left({\color{gray}3.54 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	1000 entities	$$11.8 \mathrm{ms} \pm 89.8 \mathrm{μs}\left({\color{red}9.17 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10000 entities	$$11.8 \mathrm{ms} \pm 107 \mathrm{μs}\left({\color{gray}4.09 \mathrm{\%}}\right) $$	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	$$11.0 \mathrm{ms} \pm 85.2 \mathrm{μs}\left({\color{lightgreen}-6.236 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/book/v/1	$$11.4 \mathrm{ms} \pm 94.8 \mathrm{μs}\left({\color{gray}2.16 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/building/v/1	$$11.1 \mathrm{ms} \pm 81.1 \mathrm{μs}\left({\color{gray}-3.993 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/organization/v/1	$$11.4 \mathrm{ms} \pm 84.3 \mathrm{μs}\left({\color{gray}0.442 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/page/v/2	$$11.0 \mathrm{ms} \pm 88.1 \mathrm{μs}\left({\color{gray}-0.620 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/person/v/1	$$11.4 \mathrm{ms} \pm 103 \mathrm{μs}\left({\color{gray}1.72 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/playlist/v/1	$$11.6 \mathrm{ms} \pm 105 \mathrm{μs}\left({\color{gray}2.76 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/song/v/1	$$11.0 \mathrm{ms} \pm 79.7 \mathrm{μs}\left({\color{gray}-2.734 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/uk-address/v/1	$$11.4 \mathrm{ms} \pm 92.5 \mathrm{μs}\left({\color{gray}0.232 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity_type

Function	Value	Mean	Flame graphs
get_entity_type_by_id	Account ID: bf5a9ef5-dc3b-43cf-a291-6210c0321eba	$$8.21 \mathrm{ms} \pm 56.3 \mathrm{μs}\left({\color{gray}1.31 \mathrm{\%}}\right) $$	Flame Graph

representative_read_multiple_entities

Function	Value	Mean	Flame graphs
entity_by_property	traversal_paths=0	0	$$60.2 \mathrm{ms} \pm 623 \mathrm{μs}\left({\color{gray}3.18 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$112 \mathrm{ms} \pm 758 \mathrm{μs}\left({\color{gray}-2.787 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$67.7 \mathrm{ms} \pm 559 \mathrm{μs}\left({\color{gray}4.90 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$75.6 \mathrm{ms} \pm 770 \mathrm{μs}\left({\color{gray}2.33 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$83.5 \mathrm{ms} \pm 782 \mathrm{μs}\left({\color{gray}-3.564 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$91.7 \mathrm{ms} \pm 666 \mathrm{μs}\left({\color{gray}0.059 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=0	0	$$47.8 \mathrm{ms} \pm 434 \mathrm{μs}\left({\color{gray}-2.430 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$76.6 \mathrm{ms} \pm 705 \mathrm{μs}\left({\color{gray}-1.764 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$54.2 \mathrm{ms} \pm 450 \mathrm{μs}\left({\color{gray}-3.279 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$62.5 \mathrm{ms} \pm 558 \mathrm{μs}\left({\color{gray}-4.650 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$65.2 \mathrm{ms} \pm 645 \mathrm{μs}\left({\color{gray}-3.142 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$65.4 \mathrm{ms} \pm 700 \mathrm{μs}\left({\color{gray}-3.035 \mathrm{\%}}\right) $$

scenarios

Function	Value	Mean	Flame graphs
full_test	query-limited	$$112 \mathrm{ms} \pm 818 \mathrm{μs}\left({\color{lightgreen}-9.305 \mathrm{\%}}\right) $$	Flame Graph
full_test	query-unlimited	$$126 \mathrm{ms} \pm 750 \mathrm{μs}\left({\color{lightgreen}-7.455 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-limited	$$22.7 \mathrm{ms} \pm 261 \mathrm{μs}\left({\color{lightgreen}-6.853 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-unlimited	$$508 \mathrm{ms} \pm 1.90 \mathrm{ms}\left({\color{gray}-4.031 \mathrm{\%}}\right) $$	Flame Graph