BE-844: atlas: typed artifact files, atomic generation publication and validated fit options

[indietyp]

🌟 What is the purpose of this PR?

Type the atlas file layer, publish a generation atomically, and validate fit options once at the boundary. Depth, tile zoom and artifact identity travel as untyped integers and strings through the file layer, so every reader re-derives the same facts and a mismatch shows up at runtime. Each artifact format opens through its own function with its own error shape. A generation assembles in place, so a reader can open a half-written one, and activation and removal race each other. Fit and policy parameters arrive as loose values that each consumer validates on use.

For review, the properties this stands on:

• A generation is visible under the root only once it is complete: it assembles in a staging directory and publishes atomically when sealed.
• Activation and removal serialize through a root lock, so a removal cannot delete the generation an activation is about to name. Readers hold no lock.
• One open contract covers every artifact format, typed per artifact, with one error type per format.
• Options and their validated configurations are separate types, and the conversion happens once.

🔍 What does this change?

• file/: depth and zoom as newtypes that serialize, and a Morton tile that carries its zoom. One open contract covers every artifact format, typed per artifact, with one error type per format.
• file/generation/: the staging, seal, activate and remove root under its lock.
• salt/fit, salt/policy, salt/projector/train: fit, solver, training-schedule and policy options separate from their validated configurations, converting once at the boundary.
• An offload handle for blocking computation that is a future.
• libs/@local/hashql/core/src/id/: IdSlice's raw views read a field instead of casting through a pointer, so they are usable in const; IdVec gains drain, and the boxed clone paths get tests.
• Cargo.toml: hashbrown and tokio-util added, tokio gains time, serde_json gains raw_value, and the workspace pins move schemars to 1.2.2 and serde to 1.0.229.
• README.md and docs/wire.md follow the typed file layer.

❓ How to test this?

1. cargo nextest run -p hash-graph-atlas --all-features file:: runs the file-layer tests, including the staging and lock tests under file/generation.
2. Run a fit; the generation directory exists under the root only after the seal, and never as a partial tree.

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

[vercel]

The latest updates on your projects. Learn more about Vercel for GitHub.

Project	Deployment	Actions	Updated
hash	Ready	Preview	Sep 15, 2026 2:50pm UTC
petrinaut	Ready	Preview	Sep 15, 2026 2:50pm UTC
petrinaut-docs	Ready	Preview	Sep 15, 2026 2:50pm UTC

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[codecov]

Codecov Report

❌ Patch coverage is 65.24865% with 580 lines in your changes missing coverage. Please review.
✅ Project coverage is 67.58%. Comparing base (4e692d0) to head (0b46e48).

Files with missing lines	Patch %	Lines
...bs/@local/graph/atlas/src/file/generation/error.rs	17.50%	66 Missing ⚠️
...@local/graph/atlas/src/salt/runner/operator/mod.rs	0.00%	65 Missing ⚠️
libs/@local/graph/atlas/src/morton/mod.rs	58.38%	62 Missing ⚠️
...local/graph/atlas/src/salt/fit/prepare/identity.rs	44.44%	35 Missing ⚠️
libs/@local/graph/atlas/src/cli/shell.rs	2.85%	34 Missing ⚠️
libs/@local/graph/atlas/src/file/array/read.rs	36.36%	27 Missing and 1 partial ⚠️
...al/graph/atlas/src/salt/projector/train/refresh.rs	0.00%	28 Missing ⚠️
libs/@local/graph/atlas/src/identity/column.rs	0.00%	27 Missing ⚠️
...s/@local/graph/atlas/src/salt/postings/artifact.rs	0.00%	22 Missing ⚠️
.../@local/graph/atlas/src/salt/adjacency/artifact.rs	0.00%	21 Missing ⚠️
... and 36 more

Additional details and impacted files

@@                                     Coverage Diff                                     @@
##           bm/be-857-atlas-take-validated-scalars-as-math-operands    #9708      +/-   ##
===========================================================================================
- Coverage                                                    74.70%   67.58%   -7.12%     
===========================================================================================
  Files                                                          782     1576     +794     
  Lines                                                        86834   177558   +90724     
  Branches                                                      3627     6318    +2691     
===========================================================================================
+ Hits                                                         64869   120005   +55136     
- Misses                                                       21283    56157   +34874     
- Partials                                                       682     1396     +714     

Flag	Coverage Δ
apps.hash-ai-worker-ts	?
apps.hash-api	15.35% <ø> (?)
apps.hash-graph	13.62% <ø> (ø)
blockprotocol.type-system	38.15% <ø> (?)
local.claude-hooks	0.00% <ø> (?)
local.harpc-client	51.49% <ø> (?)
local.hash-backend-utils	3.27% <ø> (?)
local.hash-graph-sdk	10.02% <ø> (ø)
local.hash-isomorphic-utils	12.22% <ø> (?)
rust.antsi	2.36% <ø> (?)
rust.error-stack	90.81% <ø> (?)
rust.harpc-codec	84.70% <ø> (?)
rust.harpc-net	96.24% <ø> (?)
rust.harpc-tower	67.03% <ø> (?)
rust.harpc-types	0.00% <ø> (?)
rust.harpc-wire-protocol	92.23% <ø> (?)
rust.hash-codec	72.76% <ø> (?)
rust.hash-config	81.14% <ø> (?)
rust.hash-graph-api	19.71% <ø> (?)
rust.hash-graph-atlas	80.60% <63.63%> (-0.62%)	⬇️
rust.hash-graph-authentication	96.02% <ø> (?)
rust.hash-graph-authorization	63.14% <ø> (?)
rust.hash-graph-embeddings	91.88% <ø> (?)
rust.hash-graph-postgres-store	32.15% <ø> (?)
rust.hash-graph-store	48.41% <ø> (?)
rust.hash-graph-temporal-versioning	50.18% <ø> (?)
rust.hash-graph-types	0.00% <ø> (?)
rust.hash-graph-validation	84.71% <ø> (?)
rust.hash-middleware	90.92% <ø> (?)
rust.hashql-ast	89.63% <ø> (ø)
rust.hashql-compiletest	28.39% <ø> (ø)
rust.hashql-core	79.03% <100.00%> (+0.11%)	⬆️
rust.hashql-diagnostics	72.51% <ø> (?)
rust.hashql-eval	79.82% <ø> (?)
rust.hashql-hir	89.09% <ø> (ø)
rust.hashql-mir	87.92% <ø> (?)
rust.hashql-syntax-jexpr	94.04% <ø> (ø)

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[github-advanced-security]

clippy found more than 20 potential problems in the proposed changes. Check the Files changed tab for more details.

[codspeed-hq]

Merging this PR will not alter performance

⚠️ 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

✅ 98 untouched benchmarks

Performance Changes

	Benchmark	BASE	HEAD	Efficiency
⚠️	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

---

_{Comparing bm/be-844-atlas-typed-artifact-files-atomic-generation-publication-and (5316321) with main (ead965d)¹}

Footnotes

1. No successful run was found on bm/be-857-atlas-take-validated-scalars-as-math-operands (1cddf83) during the generation of this report, so main (ead965d) was used instead as the comparison base. There might be some changes unrelated to this pull request in this report. ↩

[cursor]

Stale Bugbot comment from a previous run.

[cursor]

Cursor Bugbot has reviewed your changes and found 1 potential issue.

^{❌ Bugbot Autofix is OFF. To automatically fix reported issues with cloud agents, enable autofix in the Cursor dashboard.}

^{Reviewed by Cursor Bugbot for commit 5fae1ae. Configure here.}

[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	$$27.8 \mathrm{ms} \pm 223 \mathrm{μs}\left({\color{gray}-2.004 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.48 \mathrm{ms} \pm 25.0 \mathrm{μs}\left({\color{gray}0.853 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1002	$$13.6 \mathrm{ms} \pm 103 \mathrm{μs}\left({\color{gray}1.59 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 3314	$$44.5 \mathrm{ms} \pm 426 \mathrm{μs}\left({\color{gray}0.970 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$15.1 \mathrm{ms} \pm 137 \mathrm{μs}\left({\color{gray}0.036 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 1527	$$24.8 \mathrm{ms} \pm 189 \mathrm{μs}\left({\color{gray}-1.280 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 2078	$$29.1 \mathrm{ms} \pm 238 \mathrm{μs}\left({\color{gray}0.633 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.84 \mathrm{ms} \pm 26.0 \mathrm{μs}\left({\color{gray}2.50 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 1033	$$15.2 \mathrm{ms} \pm 124 \mathrm{μs}\left({\color{gray}3.31 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_medium

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 102	$$3.78 \mathrm{ms} \pm 26.9 \mathrm{μs}\left({\color{gray}-1.410 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.00 \mathrm{ms} \pm 19.2 \mathrm{μs}\left({\color{gray}-0.614 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 52	$$3.37 \mathrm{ms} \pm 20.5 \mathrm{μs}\left({\color{gray}-1.447 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 269	$$5.28 \mathrm{ms} \pm 39.2 \mathrm{μs}\left({\color{gray}-1.423 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.56 \mathrm{ms} \pm 19.9 \mathrm{μs}\left({\color{gray}-3.270 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 108	$$4.27 \mathrm{ms} \pm 42.6 \mathrm{μs}\left({\color{gray}0.137 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 133	$$4.46 \mathrm{ms} \pm 36.1 \mathrm{μs}\left({\color{gray}-0.618 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.43 \mathrm{ms} \pm 22.3 \mathrm{μs}\left({\color{gray}-1.005 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 63	$$4.24 \mathrm{ms} \pm 30.8 \mathrm{μs}\left({\color{gray}-0.525 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_none

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2	$$2.72 \mathrm{ms} \pm 17.0 \mathrm{μs}\left({\color{gray}-0.037 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.65 \mathrm{ms} \pm 15.7 \mathrm{μs}\left({\color{gray}-0.839 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 2	$$2.78 \mathrm{ms} \pm 17.3 \mathrm{μs}\left({\color{gray}-1.322 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 8	$$3.07 \mathrm{ms} \pm 20.2 \mathrm{μs}\left({\color{gray}0.234 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$2.87 \mathrm{ms} \pm 18.0 \mathrm{μs}\left({\color{gray}-0.092 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 3	$$3.16 \mathrm{ms} \pm 18.3 \mathrm{μs}\left({\color{gray}0.484 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_small

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 52	$$3.17 \mathrm{ms} \pm 24.9 \mathrm{μs}\left({\color{gray}1.67 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.82 \mathrm{ms} \pm 15.7 \mathrm{μs}\left({\color{gray}1.50 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 26	$$3.03 \mathrm{ms} \pm 21.3 \mathrm{μs}\left({\color{gray}0.919 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 94	$$3.60 \mathrm{ms} \pm 24.0 \mathrm{μs}\left({\color{gray}1.66 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.07 \mathrm{ms} \pm 21.1 \mathrm{μs}\left({\color{gray}0.391 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 27	$$3.37 \mathrm{ms} \pm 24.3 \mathrm{μs}\left({\color{gray}2.10 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 66	$$3.48 \mathrm{ms} \pm 24.1 \mathrm{μs}\left({\color{gray}-0.391 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.12 \mathrm{ms} \pm 17.4 \mathrm{μs}\left({\color{gray}1.36 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 29	$$3.45 \mathrm{ms} \pm 34.4 \mathrm{μs}\left({\color{gray}3.32 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_complete

Function	Value	Mean	Flame graphs
entity_by_id;one_depth	1 entities	$$32.1 \mathrm{ms} \pm 186 \mathrm{μs}\left({\color{gray}-2.849 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	10 entities	$$70.5 \mathrm{ms} \pm 512 \mathrm{μs}\left({\color{red}29.6 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	25 entities	$$35.3 \mathrm{ms} \pm 280 \mathrm{μs}\left({\color{gray}-4.490 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	5 entities	$$39.0 \mathrm{ms} \pm 236 \mathrm{μs}\left({\color{lightgreen}-6.980 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	50 entities	$$43.4 \mathrm{ms} \pm 299 \mathrm{μs}\left({\color{gray}1.04 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	1 entities	$$33.7 \mathrm{ms} \pm 232 \mathrm{μs}\left({\color{gray}-2.578 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	10 entities	$$414 \mathrm{ms} \pm 1.75 \mathrm{ms}\left({\color{red}64.6 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	25 entities	$$85.9 \mathrm{ms} \pm 608 \mathrm{μs}\left({\color{lightgreen}-6.646 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	5 entities	$$78.8 \mathrm{ms} \pm 441 \mathrm{μs}\left({\color{lightgreen}-10.796 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	50 entities	$$274 \mathrm{ms} \pm 1.15 \mathrm{ms}\left({\color{lightgreen}-10.700 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	1 entities	$$10.2 \mathrm{ms} \pm 67.9 \mathrm{μs}\left({\color{gray}-1.649 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	10 entities	$$10.4 \mathrm{ms} \pm 89.8 \mathrm{μs}\left({\color{gray}0.152 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	25 entities	$$10.5 \mathrm{ms} \pm 83.1 \mathrm{μs}\left({\color{gray}-0.666 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	5 entities	$$10.5 \mathrm{ms} \pm 85.7 \mathrm{μs}\left({\color{gray}0.139 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	50 entities	$$10.7 \mathrm{ms} \pm 84.9 \mathrm{μs}\left({\color{gray}0.928 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_linkless

Function	Value	Mean	Flame graphs
entity_by_id	1 entities	$$10.5 \mathrm{ms} \pm 89.6 \mathrm{μs}\left({\color{gray}0.548 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10 entities	$$10.4 \mathrm{ms} \pm 73.1 \mathrm{μs}\left({\color{lightgreen}-7.461 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	100 entities	$$10.7 \mathrm{ms} \pm 82.6 \mathrm{μs}\left({\color{gray}-0.507 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	1000 entities	$$10.6 \mathrm{ms} \pm 71.4 \mathrm{μs}\left({\color{gray}-0.664 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10000 entities	$$11.1 \mathrm{ms} \pm 88.3 \mathrm{μs}\left({\color{gray}0.289 \mathrm{\%}}\right) $$	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	$$10.8 \mathrm{ms} \pm 73.4 \mathrm{μs}\left({\color{gray}-0.956 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/book/v/1	$$11.1 \mathrm{ms} \pm 63.3 \mathrm{μs}\left({\color{gray}-1.157 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/building/v/1	$$10.7 \mathrm{ms} \pm 87.9 \mathrm{μs}\left({\color{gray}-2.088 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/organization/v/1	$$11.0 \mathrm{ms} \pm 87.1 \mathrm{μs}\left({\color{lightgreen}-5.121 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/page/v/2	$$10.8 \mathrm{ms} \pm 73.9 \mathrm{μs}\left({\color{gray}-0.952 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/person/v/1	$$10.8 \mathrm{ms} \pm 72.7 \mathrm{μs}\left({\color{gray}-2.361 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/playlist/v/1	$$11.0 \mathrm{ms} \pm 82.3 \mathrm{μs}\left({\color{gray}0.993 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/song/v/1	$$10.6 \mathrm{ms} \pm 80.8 \mathrm{μs}\left({\color{gray}-3.473 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/uk-address/v/1	$$10.9 \mathrm{ms} \pm 81.1 \mathrm{μs}\left({\color{gray}-2.997 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity_type

Function	Value	Mean	Flame graphs
get_entity_type_by_id	Account ID: bf5a9ef5-dc3b-43cf-a291-6210c0321eba	$$7.90 \mathrm{ms} \pm 49.9 \mathrm{μs}\left({\color{gray}-2.034 \mathrm{\%}}\right) $$	Flame Graph

representative_read_multiple_entities

Function	Value	Mean	Flame graphs
entity_by_property	traversal_paths=0	0	$$58.1 \mathrm{ms} \pm 456 \mathrm{μs}\left({\color{gray}-1.391 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$109 \mathrm{ms} \pm 618 \mathrm{μs}\left({\color{gray}-0.805 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$64.3 \mathrm{ms} \pm 403 \mathrm{μs}\left({\color{gray}-1.221 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$73.5 \mathrm{ms} \pm 551 \mathrm{μs}\left({\color{gray}0.284 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$81.0 \mathrm{ms} \pm 465 \mathrm{μs}\left({\color{gray}-2.060 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$88.3 \mathrm{ms} \pm 555 \mathrm{μs}\left({\color{gray}-1.935 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=0	0	$$46.6 \mathrm{ms} \pm 281 \mathrm{μs}\left({\color{gray}-1.470 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$74.9 \mathrm{ms} \pm 461 \mathrm{μs}\left({\color{gray}-1.955 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$53.0 \mathrm{ms} \pm 340 \mathrm{μs}\left({\color{gray}-2.279 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$61.5 \mathrm{ms} \pm 445 \mathrm{μs}\left({\color{gray}-3.004 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$63.7 \mathrm{ms} \pm 401 \mathrm{μs}\left({\color{gray}-3.995 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$63.8 \mathrm{ms} \pm 426 \mathrm{μs}\left({\color{gray}-3.816 \mathrm{\%}}\right) $$

scenarios

Function	Value	Mean	Flame graphs
full_test	query-limited	$$112 \mathrm{ms} \pm 505 \mathrm{μs}\left({\color{gray}1.17 \mathrm{\%}}\right) $$	Flame Graph
full_test	query-unlimited	$$124 \mathrm{ms} \pm 650 \mathrm{μs}\left({\color{gray}0.341 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-limited	$$18.0 \mathrm{ms} \pm 134 \mathrm{μs}\left({\color{lightgreen}-17.591 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-unlimited	$$526 \mathrm{ms} \pm 1.38 \mathrm{ms}\left({\color{red}5.85 \mathrm{\%}}\right) $$	Flame Graph