SRE-1061: Move the crates' package.json scripts into turbo.json commands

[TimDiekmann]

🌟 What is the purpose of this PR?

The crates' package.json files carried hand-maintained scripts that turbo ran through a shell. With experimentalTaskCommand, each crate's turbo.json now declares the argv turbo runs for every task, and the package.json keeps only the identity and dependency wiring sync:turborepo generates. That is the shape the crates keep once they become native Cargo workspace members (SRE-984), and it is what the command criterion in affected-packages.sh (#9754) prepares for.

🔗 Related links

• SRE-1061
• Upstream: vercel/turborepo#13313 (the command field), vercel/turborepo#13504 (turborepo's own migration)

🚫 Blocked by

• SRE-1060: Let turbo's task graph drive pruning and CI selection #9754

🔍 What does this change?

• Enables experimentalTaskCommand in the root turbo.json
• Every crate gets a turbo.json with a command per task; the twelve crates that already had one keep their dependsOn, outputs and cache settings alongside
• The scripts sections leave the crates' package.json files
• Chained scripts become task edges: test:unit of hash-codegen and type-system-rs depends on a new test:unit:doc; hash-graph-api#test:unit depends on lint:openapi, which diffs the checked-in spec after build:openapi
• Environment prefixes run through env; build:wasm passes --no-pack instead of deleting the generated package.json afterwards
• Tasks no turbo.json declared before (build:docker:dev, test:unit:bless, the manual bench and test tasks) enter the task graph and the task documents
• AGENTS.md describes the crate wiring accordingly

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:

• require changes to docs which are made as part of this PR

🕸️ Does this require a change to the Turbo Graph?

The changes in this PR:

• affected the execution graph, and the turbo.json's have been updated to reflect this

⚠️ Known issues

• turbo query's packages { tasks } does not list command-only tasks, so prune.py's own closure no longer sees the crates' task edges. turbo prune follows them itself under affectedUsingTaskInputs (SRE-1060: Let turbo's task graph drive pruning and CI selection #9754), so the pruned trees are unchanged; the extra rules in prune.py work on the package graph, which is unaffected.
• lint:openapi runs before hash-graph-api#test:unit rather than after it, so a stale spec fails the task before the tests run. Both fail the same CI job as before.

🐾 Next steps

• SRE-984: native Cargo workspaces, after which the crates' package.json files go away entirely

🛡 What tests cover this?

• None automated. Verified locally: a dry run of every crate task before and after resolves the same commands except for the chained, env-prefixed and --no-pack cases; @rust/antsi#test:unit and @rust/error-stack-macros#lint:clippy run through the new definitions; sync:turborepo and fix:package-json leave the manifests unchanged; build:wasm --no-pack produces the four files the TypeScript package reads.

❓ How to test this?

1. Checkout the branch, mise install --locked npm:turbo
2. turbo run lint:clippy --filter @rust/error-stack-macros runs just clippy from the crate's turbo.json
3. turbo query 'query { affectedTasks(base: "HEAD^", tasks: ["lint:clippy"]) { items { fullName command } } }' reports command for the crates' tasks

[vercel]

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

Project	Deployment	Actions	Updated
hash	Building	Preview	Sep 19, 2026 5:45pm UTC
hashdotdesign-tokens	Building	Preview	Sep 19, 2026 5:45pm UTC
petrinaut	Building	Preview	Sep 19, 2026 5:45pm UTC
petrinaut-docs	Building	Preview	Sep 19, 2026 5:45pm UTC

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 66.51%. Comparing base (6a37855) to head (2bf5e1a).

Additional details and impacted files

@@                                         Coverage Diff                                         @@
##           t/sre-1060-let-turbos-task-graph-drive-pruning-and-ci-selection    #9755      +/-   ##
===================================================================================================
- Coverage                                                            66.51%   66.51%   -0.01%     
===================================================================================================
  Files                                                                 1848     1848              
  Lines                                                               195665   195665              
  Branches                                                              7963     7963              
===================================================================================================
- Hits                                                                130143   130140       -3     
- Misses                                                               63998    63999       +1     
- Partials                                                              1524     1526       +2     

Flag	Coverage Δ
apps.hash-ai-worker-ts	1.99% <ø> (ø)
apps.hash-api	15.35% <ø> (ø)
apps.hash-graph	12.27% <ø> (ø)
blockprotocol.type-system	38.15% <ø> (ø)
local.claude-hooks	0.00% <ø> (ø)
local.harpc-client	51.49% <ø> (ø)
local.hash-backend-utils	3.27% <ø> (ø)
local.hash-graph-sdk	10.02% <ø> (ø)
local.hash-isomorphic-utils	12.22% <ø> (ø)
rust.antsi	2.36% <ø> (ø)
rust.error-stack	90.81% <ø> (ø)
rust.harpc-codec	84.70% <ø> (ø)
rust.harpc-net	96.21% <ø> (ø)
rust.harpc-tower	67.03% <ø> (ø)
rust.harpc-types	0.00% <ø> (ø)
rust.harpc-wire-protocol	92.23% <ø> (ø)
rust.hash-codec	72.76% <ø> (ø)
rust.hash-config	81.14% <ø> (ø)
rust.hash-graph-api	19.09% <ø> (ø)
rust.hash-graph-atlas	80.11% <ø> (-0.01%)	⬇️
rust.hash-graph-authentication	96.04% <ø> (ø)
rust.hash-graph-authorization	63.14% <ø> (ø)
rust.hash-graph-embeddings	91.88% <ø> (ø)
rust.hash-graph-postgres-store	32.15% <ø> (ø)
rust.hash-graph-store	48.41% <ø> (ø)
rust.hash-graph-temporal-versioning	50.18% <ø> (ø)
rust.hash-graph-types	0.00% <ø> (ø)
rust.hash-graph-validation	84.71% <ø> (ø)
rust.hash-middleware	92.09% <ø> (ø)
rust.hashql-ast	89.63% <ø> (ø)
rust.hashql-compiletest	28.39% <ø> (ø)
rust.hashql-core	79.03% <ø> (ø)
rust.hashql-diagnostics	72.51% <ø> (ø)
rust.hashql-eval	79.82% <ø> (ø)
rust.hashql-hir	89.09% <ø> (ø)
rust.hashql-mir	87.92% <ø> (ø)
rust.hashql-syntax-jexpr	94.04% <ø> (ø)
rust.problematic	77.80% <ø> (ø)

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[codspeed]

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 t/sre-1061-move-the-crates-packagejson-scripts-into-turbojson-commands (2bf5e1a) with t/sre-1060-let-turbos-task-graph-drive-pruning-and-ci-selection (76a7648)¹}

Footnotes

1. No successful run was found on t/sre-1060-let-turbos-task-graph-drive-pruning-and-ci-selection (6a37855) during the generation of this report, so 938640d was used instead as the comparison base. There might be some changes unrelated to this pull request in this report. ↩

[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	$$27.3 \mathrm{ms} \pm 261 \mathrm{μs}\left({\color{gray}3.13 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.53 \mathrm{ms} \pm 22.7 \mathrm{μs}\left({\color{gray}2.57 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1002	$$14.0 \mathrm{ms} \pm 89.7 \mathrm{μs}\left({\color{red}12.4 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 3314	$$44.6 \mathrm{ms} \pm 342 \mathrm{μs}\left({\color{gray}2.87 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$16.5 \mathrm{ms} \pm 297 \mathrm{μs}\left({\color{red}10.7 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 1527	$$25.8 \mathrm{ms} \pm 233 \mathrm{μs}\left({\color{gray}4.24 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 2078	$$28.4 \mathrm{ms} \pm 248 \mathrm{μs}\left({\color{gray}3.80 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.95 \mathrm{ms} \pm 30.5 \mathrm{μs}\left({\color{gray}4.41 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 1033	$$15.6 \mathrm{ms} \pm 167 \mathrm{μs}\left({\color{red}9.78 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_medium

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 102	$$3.93 \mathrm{ms} \pm 28.5 \mathrm{μs}\left({\color{gray}4.93 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.14 \mathrm{ms} \pm 18.9 \mathrm{μs}\left({\color{gray}3.75 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 52	$$3.50 \mathrm{ms} \pm 24.9 \mathrm{μs}\left({\color{gray}2.36 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 269	$$5.37 \mathrm{ms} \pm 35.0 \mathrm{μs}\left({\color{red}5.31 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.78 \mathrm{ms} \pm 23.9 \mathrm{μs}\left({\color{gray}3.18 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 108	$$4.35 \mathrm{ms} \pm 38.0 \mathrm{μs}\left({\color{gray}2.93 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 133	$$4.59 \mathrm{ms} \pm 30.5 \mathrm{μs}\left({\color{gray}3.10 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.57 \mathrm{ms} \pm 16.1 \mathrm{μs}\left({\color{gray}2.63 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 63	$$4.37 \mathrm{ms} \pm 30.1 \mathrm{μs}\left({\color{gray}2.61 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_none

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2	$$2.81 \mathrm{ms} \pm 18.1 \mathrm{μs}\left({\color{gray}1.79 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.81 \mathrm{ms} \pm 17.0 \mathrm{μs}\left({\color{gray}4.59 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 2	$$2.95 \mathrm{ms} \pm 26.5 \mathrm{μs}\left({\color{gray}4.65 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 8	$$3.18 \mathrm{ms} \pm 22.3 \mathrm{μs}\left({\color{gray}3.55 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.00 \mathrm{ms} \pm 22.7 \mathrm{μs}\left({\color{gray}3.44 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 3	$$3.34 \mathrm{ms} \pm 21.4 \mathrm{μs}\left({\color{gray}3.17 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_small

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 52	$$3.13 \mathrm{ms} \pm 21.2 \mathrm{μs}\left({\color{gray}1.01 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.78 \mathrm{ms} \pm 11.7 \mathrm{μs}\left({\color{gray}0.289 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 26	$$2.99 \mathrm{ms} \pm 15.9 \mathrm{μs}\left({\color{gray}1.47 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 94	$$3.58 \mathrm{ms} \pm 27.7 \mathrm{μs}\left({\color{gray}1.36 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.16 \mathrm{ms} \pm 19.7 \mathrm{μs}\left({\color{gray}1.86 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 27	$$3.38 \mathrm{ms} \pm 22.1 \mathrm{μs}\left({\color{gray}-0.070 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 66	$$3.44 \mathrm{ms} \pm 27.7 \mathrm{μs}\left({\color{gray}-0.824 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.13 \mathrm{ms} \pm 16.5 \mathrm{μs}\left({\color{gray}1.77 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 29	$$3.40 \mathrm{ms} \pm 31.2 \mathrm{μs}\left({\color{gray}2.31 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_complete

Function	Value	Mean	Flame graphs
entity_by_id;one_depth	1 entities	$$33.5 \mathrm{ms} \pm 185 \mathrm{μs}\left({\color{red}6.72 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	10 entities	$$71.0 \mathrm{ms} \pm 530 \mathrm{μs}\left({\color{red}5.07 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	25 entities	$$37.2 \mathrm{ms} \pm 247 \mathrm{μs}\left({\color{gray}4.29 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	5 entities	$$40.4 \mathrm{ms} \pm 235 \mathrm{μs}\left({\color{red}7.48 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	50 entities	$$44.7 \mathrm{ms} \pm 252 \mathrm{μs}\left({\color{red}5.81 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	1 entities	$$34.9 \mathrm{ms} \pm 187 \mathrm{μs}\left({\color{red}5.34 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	10 entities	$$396 \mathrm{ms} \pm 1.27 \mathrm{ms}\left({\color{gray}1.21 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	25 entities	$$92.4 \mathrm{ms} \pm 641 \mathrm{μs}\left({\color{red}7.05 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	5 entities	$$74.2 \mathrm{ms} \pm 524 \mathrm{μs}\left({\color{gray}3.90 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	50 entities	$$280 \mathrm{ms} \pm 1.13 \mathrm{ms}\left({\color{gray}1.95 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	1 entities	$$10.4 \mathrm{ms} \pm 60.4 \mathrm{μs}\left({\color{gray}-1.151 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	10 entities	$$10.7 \mathrm{ms} \pm 69.9 \mathrm{μs}\left({\color{gray}2.42 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	25 entities	$$10.9 \mathrm{ms} \pm 65.8 \mathrm{μs}\left({\color{gray}2.17 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	5 entities	$$10.7 \mathrm{ms} \pm 80.8 \mathrm{μs}\left({\color{gray}-0.318 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	50 entities	$$10.6 \mathrm{ms} \pm 76.0 \mathrm{μs}\left({\color{gray}0.865 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_linkless

Function	Value	Mean	Flame graphs
entity_by_id	1 entities	$$10.4 \mathrm{ms} \pm 61.0 \mathrm{μs}\left({\color{gray}0.547 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10 entities	$$10.3 \mathrm{ms} \pm 74.8 \mathrm{μs}\left({\color{gray}-0.247 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	100 entities	$$10.5 \mathrm{ms} \pm 82.7 \mathrm{μs}\left({\color{gray}1.86 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	1000 entities	$$10.7 \mathrm{ms} \pm 62.8 \mathrm{μs}\left({\color{gray}3.22 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10000 entities	$$11.0 \mathrm{ms} \pm 85.1 \mathrm{μs}\left({\color{gray}1.86 \mathrm{\%}}\right) $$	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	$$11.5 \mathrm{ms} \pm 85.2 \mathrm{μs}\left({\color{gray}2.47 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/book/v/1	$$11.4 \mathrm{ms} \pm 91.6 \mathrm{μs}\left({\color{gray}1.41 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/building/v/1	$$11.5 \mathrm{ms} \pm 77.9 \mathrm{μs}\left({\color{red}5.80 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/organization/v/1	$$11.3 \mathrm{ms} \pm 60.1 \mathrm{μs}\left({\color{gray}3.73 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/page/v/2	$$11.6 \mathrm{ms} \pm 96.2 \mathrm{μs}\left({\color{gray}2.10 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/person/v/1	$$11.6 \mathrm{ms} \pm 117 \mathrm{μs}\left({\color{gray}2.41 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/playlist/v/1	$$11.0 \mathrm{ms} \pm 84.6 \mathrm{μs}\left({\color{gray}1.48 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/song/v/1	$$11.6 \mathrm{ms} \pm 115 \mathrm{μs}\left({\color{red}5.28 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: https://blockprotocol.org/@alice/types/entity-type/uk-address/v/1	$$11.5 \mathrm{ms} \pm 61.6 \mathrm{μs}\left({\color{gray}0.676 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity_type

Function	Value	Mean	Flame graphs
get_entity_type_by_id	Account ID: bf5a9ef5-dc3b-43cf-a291-6210c0321eba	$$8.40 \mathrm{ms} \pm 58.9 \mathrm{μs}\left({\color{red}5.55 \mathrm{\%}}\right) $$	Flame Graph

representative_read_multiple_entities

Function	Value	Mean	Flame graphs
entity_by_property	traversal_paths=0	0	$$61.7 \mathrm{ms} \pm 459 \mathrm{μs}\left({\color{red}5.42 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$112 \mathrm{ms} \pm 623 \mathrm{μs}\left({\color{gray}1.40 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$69.0 \mathrm{ms} \pm 481 \mathrm{μs}\left({\color{red}6.39 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$79.0 \mathrm{ms} \pm 564 \mathrm{μs}\left({\color{red}7.25 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$85.2 \mathrm{ms} \pm 556 \mathrm{μs}\left({\color{gray}1.62 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$91.0 \mathrm{ms} \pm 499 \mathrm{μs}\left({\color{gray}2.06 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=0	0	$$48.0 \mathrm{ms} \pm 283 \mathrm{μs}\left({\color{gray}-0.623 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$73.9 \mathrm{ms} \pm 453 \mathrm{μs}\left({\color{gray}0.706 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$54.0 \mathrm{ms} \pm 338 \mathrm{μs}\left({\color{gray}-0.591 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$61.2 \mathrm{ms} \pm 423 \mathrm{μs}\left({\color{gray}-1.045 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$63.1 \mathrm{ms} \pm 314 \mathrm{μs}\left({\color{gray}0.680 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$64.3 \mathrm{ms} \pm 432 \mathrm{μs}\left({\color{gray}2.45 \mathrm{\%}}\right) $$

scenarios

Function	Value	Mean	Flame graphs
full_test	query-limited	$$118 \mathrm{ms} \pm 536 \mathrm{μs}\left({\color{gray}2.61 \mathrm{\%}}\right) $$	Flame Graph
full_test	query-unlimited	$$128 \mathrm{ms} \pm 465 \mathrm{μs}\left({\color{gray}-0.163 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-limited	$$23.8 \mathrm{ms} \pm 169 \mathrm{μs}\left({\color{red}28.9 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-unlimited	$$529 \mathrm{ms} \pm 1.24 \mathrm{ms}\left({\color{gray}-0.990 \mathrm{\%}}\right) $$	Flame Graph