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SRE-913: Update pinned housekeeping-dependencies.yml SHA - #9157

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SRE-913: Update pinned housekeeping-dependencies.yml SHA#9157
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@claude claude Bot commented Aug 4, 2026

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Requested by Ciaran Morinan · Slack thread

🌟 What is the purpose of this PR?

Re-pins the shared Renovate housekeeping reusable workflow to the hardened revision.

Follow-up to today's incident, where a compromised action reached CI through Renovate. The previously pinned revision of hashintel/.github/.github/workflows/housekeeping-dependencies.yml installed Renovate with npm install --global and install scripts enabled, so a package published after the fact could enter the dependency tree at runtime.

The new ref installs from the lockfile committed in hashintel/.github using npm ci --ignore-scripts, which resolves nothing at runtime and never executes install scripts.

🔗 Related links

🚫 Blocked by

  • Nothing — but do not merge without Ciaran's go-ahead.

🔍 What does this change?

  • .github/workflows/housekeeping.yml — the pinned SHA for hashintel/.github/.github/workflows/housekeeping-dependencies.yml moves from d76c8393 to 9957be5b132761d8b54dea2eb3166f417ebacaf9. One line, no other changes.
  • Callers were not all pinned to the same ref — this repo was on d76c8393, while most others were on b52c1578. That drift is why the compromised run installed an older Renovate. This PR is one of eight putting every caller back on a single ref.

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

⚠️ Known issues

Actions were disabled org-wide when this branch was first pushed, so the initial push ran nothing. They have since been re-enabled and CI has been re-triggered.

🐾 Next steps

  • The remaining seven callers are covered by sibling PRs under SRE-913.
  • hashintel/simulation is listed as a caller in SRE-901 but was not reachable from this tooling, so it has not been verified or updated.
  • Removing secrets: inherit from the callers is tracked separately in SRE-901 and is deliberately not in this PR.

🛡 What tests cover this?

None directly. The reusable workflow is exercised by the scheduled housekeeping run and by its own pull_request trigger in hashintel/.github.

❓ How to test this?

  1. Confirm the workflow file resolves: hashintel/.github at 9957be5b132761d8b54dea2eb3166f417ebacaf9 contains .github/workflows/housekeeping-dependencies.yml.
  2. Confirm that revision installs Renovate with npm ci --ignore-scripts --no-audit --no-fund and not npm install --global.
  3. Optionally dispatch housekeeping.yml from this branch with dryRun: extract once Actions are stable.

📹 Demo

n/a — one-line SHA change.


Generated by Claude Code

Re-pin the hashintel/.github Renovate housekeeping reusable workflow to
9957be5b132761d8b54dea2eb3166f417ebacaf9, which installs Renovate from the
committed lockfile with `npm ci --ignore-scripts` instead of
`npm install --global`.
@claude claude Bot assigned CiaranMn Aug 4, 2026
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Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 59.57%. Comparing base (ac5ec9c) to head (20c7682).
⚠️ Report is 5 commits behind head on main.

Additional details and impacted files
@@           Coverage Diff           @@
##             main    #9157   +/-   ##
=======================================
  Coverage   59.57%   59.57%           
=======================================
  Files        1413     1413           
  Lines      138053   138053           
  Branches     6510     6510           
=======================================
+ Hits        82240    82243    +3     
+ Misses      54771    54768    -3     
  Partials     1042     1042           
Flag Coverage Δ
apps.hash-ai-worker-ts 1.99% <ø> (ø)
apps.hash-api 12.56% <ø> (ø)
blockprotocol.type-system 40.84% <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 12.25% <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 96.24% <ø> (+0.04%) ⬆️
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-graph-api 7.36% <ø> (ø)
rust.hash-graph-authorization 62.59% <ø> (ø)
rust.hash-graph-embeddings 91.88% <ø> (ø)
rust.hash-graph-postgres-store 29.66% <ø> (ø)
rust.hash-graph-store 42.16% <ø> (ø)
rust.hash-graph-temporal-versioning 47.95% <ø> (ø)
rust.hash-graph-types 0.00% <ø> (ø)
rust.hash-graph-validation 84.71% <ø> (ø)
rust.hashql-ast 89.63% <ø> (ø)
rust.hashql-compiletest 28.39% <ø> (ø)
rust.hashql-core 78.98% <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)

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Merging this PR will degrade performance by 15.38%

❌ 2 regressed benchmarks
✅ 96 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] 140.8 ns 170 ns -17.16%
bit_matrix/dense/iter_row[200] 185.8 ns 215 ns -13.57%

Tip

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


Comparing claude/sre-913-bump-housekeeping-workflow-sha (20c7682) with main (ac5ec9c)1

Open in CodSpeed

Footnotes

  1. No successful run was found on main (2b68e02) during the generation of this report, so ac5ec9c was used instead as the comparison base. There might be some changes unrelated to this pull request in this report.

@CiaranMn
CiaranMn marked this pull request as ready for review August 4, 2026 16:17
Copilot AI balanced review requested due to automatic review settings August 4, 2026 16:17
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PR Summary

Low Risk
Single-line SHA pin for an existing reusable workflow; reduces CI supply-chain risk rather than changing application or runtime behavior.

Overview
Re-pins the shared Renovate housekeeping reusable workflow in .github/workflows/housekeeping.yml from d76c8393 to 9957be5b132761d8b54dea2eb3166f417ebacaf9, aligning this repo with the hardened revision that installs Renovate via lockfile npm ci --ignore-scripts instead of runtime npm install --global.

No other workflow inputs or jobs change; this is part of rolling the same ref across all callers after a CI supply-chain incident.

Reviewed by Cursor Bugbot for commit 20c7682. Bugbot is set up for automated code reviews on this repo. Configure here.

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Pull request overview

Updates the pinned Renovate housekeeping workflow to its hardened revision.

Changes:

  • Re-pins the reusable dependency workflow to SHA 9957be5b....

@claude
claude Bot requested a review from CiaranMn August 4, 2026 16:24
@CiaranMn
CiaranMn added this pull request to the merge queue Aug 4, 2026
Merged via the queue into main with commit 5aa2a09 Aug 4, 2026
279 of 281 checks passed
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CiaranMn deleted the claude/sre-913-bump-housekeeping-workflow-sha branch August 4, 2026 16:47
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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 $$26.7 \mathrm{ms} \pm 249 \mathrm{μs}\left({\color{gray}2.92 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: low, policies: 1 $$3.73 \mathrm{ms} \pm 31.3 \mathrm{μs}\left({\color{gray}3.96 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: medium, policies: 1002 $$13.6 \mathrm{ms} \pm 117 \mathrm{μs}\left({\color{gray}2.78 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: high, policies: 3314 $$44.1 \mathrm{ms} \pm 334 \mathrm{μs}\left({\color{gray}-0.560 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: low, policies: 1 $$16.5 \mathrm{ms} \pm 134 \mathrm{μs}\left({\color{red}7.16 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: medium, policies: 1527 $$25.3 \mathrm{ms} \pm 165 \mathrm{μs}\left({\color{gray}0.565 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: high, policies: 2078 $$27.5 \mathrm{ms} \pm 176 \mathrm{μs}\left({\color{gray}1.18 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: low, policies: 1 $$4.19 \mathrm{ms} \pm 33.5 \mathrm{μs}\left({\color{red}9.32 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: medium, policies: 1033 $$15.1 \mathrm{ms} \pm 141 \mathrm{μs}\left({\color{gray}3.36 \mathrm{\%}}\right) $$ Flame Graph

policy_resolution_medium

Function Value Mean Flame graphs
resolve_policies_for_actor user: empty, selectivity: high, policies: 102 $$3.72 \mathrm{ms} \pm 22.9 \mathrm{μs}\left({\color{lightgreen}-7.345 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: low, policies: 1 $$2.99 \mathrm{ms} \pm 16.0 \mathrm{μs}\left({\color{gray}-1.300 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: medium, policies: 52 $$3.45 \mathrm{ms} \pm 33.4 \mathrm{μs}\left({\color{gray}1.58 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: high, policies: 269 $$5.47 \mathrm{ms} \pm 73.1 \mathrm{μs}\left({\color{gray}1.61 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: low, policies: 1 $$3.59 \mathrm{ms} \pm 24.6 \mathrm{μs}\left({\color{gray}-1.125 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: medium, policies: 108 $$4.20 \mathrm{ms} \pm 35.8 \mathrm{μs}\left({\color{gray}2.61 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: high, policies: 133 $$4.36 \mathrm{ms} \pm 28.2 \mathrm{μs}\left({\color{gray}0.526 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: low, policies: 1 $$3.46 \mathrm{ms} \pm 20.7 \mathrm{μs}\left({\color{gray}2.51 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: medium, policies: 63 $$4.09 \mathrm{ms} \pm 25.4 \mathrm{μs}\left({\color{gray}-2.576 \mathrm{\%}}\right) $$ Flame Graph

policy_resolution_none

Function Value Mean Flame graphs
resolve_policies_for_actor user: empty, selectivity: high, policies: 2 $$2.69 \mathrm{ms} \pm 17.5 \mathrm{μs}\left({\color{gray}0.783 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: low, policies: 1 $$2.52 \mathrm{ms} \pm 17.0 \mathrm{μs}\left({\color{gray}-0.193 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: medium, policies: 2 $$2.65 \mathrm{ms} \pm 14.2 \mathrm{μs}\left({\color{gray}-2.699 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: high, policies: 8 $$2.96 \mathrm{ms} \pm 21.5 \mathrm{μs}\left({\color{gray}1.19 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: low, policies: 1 $$2.81 \mathrm{ms} \pm 20.7 \mathrm{μs}\left({\color{gray}4.13 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: medium, policies: 3 $$2.92 \mathrm{ms} \pm 16.1 \mathrm{μs}\left({\color{gray}-0.981 \mathrm{\%}}\right) $$ Flame Graph

policy_resolution_small

Function Value Mean Flame graphs
resolve_policies_for_actor user: empty, selectivity: high, policies: 52 $$3.04 \mathrm{ms} \pm 22.6 \mathrm{μs}\left({\color{gray}0.742 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: low, policies: 1 $$2.79 \mathrm{ms} \pm 16.3 \mathrm{μs}\left({\color{gray}2.94 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: medium, policies: 26 $$2.99 \mathrm{ms} \pm 21.6 \mathrm{μs}\left({\color{gray}-0.847 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: high, policies: 94 $$3.43 \mathrm{ms} \pm 21.8 \mathrm{μs}\left({\color{gray}0.251 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: low, policies: 1 $$3.13 \mathrm{ms} \pm 24.3 \mathrm{μs}\left({\color{gray}4.49 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: medium, policies: 27 $$3.33 \mathrm{ms} \pm 22.7 \mathrm{μs}\left({\color{gray}0.991 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: high, policies: 66 $$3.39 \mathrm{ms} \pm 28.7 \mathrm{μs}\left({\color{gray}1.97 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: low, policies: 1 $$2.95 \mathrm{ms} \pm 14.0 \mathrm{μs}\left({\color{gray}-3.250 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: medium, policies: 29 $$3.39 \mathrm{ms} \pm 27.4 \mathrm{μs}\left({\color{gray}1.82 \mathrm{\%}}\right) $$ Flame Graph

read_scaling_complete

Function Value Mean Flame graphs
entity_by_id;one_depth 1 entities $$44.2 \mathrm{ms} \pm 260 \mathrm{μs}\left({\color{gray}2.20 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;one_depth 10 entities $$34.1 \mathrm{ms} \pm 193 \mathrm{μs}\left({\color{gray}0.171 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;one_depth 25 entities $$37.4 \mathrm{ms} \pm 272 \mathrm{μs}\left({\color{gray}2.84 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;one_depth 5 entities $$34.2 \mathrm{ms} \pm 217 \mathrm{μs}\left({\color{gray}4.20 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;one_depth 50 entities $$43.6 \mathrm{ms} \pm 281 \mathrm{μs}\left({\color{gray}1.73 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;two_depth 1 entities $$50.6 \mathrm{ms} \pm 278 \mathrm{μs}\left({\color{gray}-3.758 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;two_depth 10 entities $$40.7 \mathrm{ms} \pm 205 \mathrm{μs}\left({\color{gray}-0.218 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;two_depth 25 entities $$86.8 \mathrm{ms} \pm 353 \mathrm{μs}\left({\color{lightgreen}-5.433 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;two_depth 5 entities $$35.6 \mathrm{ms} \pm 228 \mathrm{μs}\left({\color{red}5.02 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;two_depth 50 entities $$301 \mathrm{ms} \pm 1.23 \mathrm{ms}\left({\color{gray}-1.271 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;zero_depth 1 entities $$11.1 \mathrm{ms} \pm 78.0 \mathrm{μs}\left({\color{gray}2.17 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;zero_depth 10 entities $$11.4 \mathrm{ms} \pm 83.4 \mathrm{μs}\left({\color{gray}4.36 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;zero_depth 25 entities $$11.0 \mathrm{ms} \pm 66.0 \mathrm{μs}\left({\color{gray}-1.151 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;zero_depth 5 entities $$11.5 \mathrm{ms} \pm 73.9 \mathrm{μs}\left({\color{gray}1.94 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;zero_depth 50 entities $$11.3 \mathrm{ms} \pm 79.7 \mathrm{μs}\left({\color{gray}1.32 \mathrm{\%}}\right) $$ Flame Graph

read_scaling_linkless

Function Value Mean Flame graphs
entity_by_id 1 entities $$11.3 \mathrm{ms} \pm 116 \mathrm{μs}\left({\color{gray}-0.533 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id 10 entities $$11.4 \mathrm{ms} \pm 73.9 \mathrm{μs}\left({\color{gray}3.78 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id 100 entities $$11.2 \mathrm{ms} \pm 57.2 \mathrm{μs}\left({\color{gray}0.217 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id 1000 entities $$13.0 \mathrm{ms} \pm 147 \mathrm{μs}\left({\color{red}13.4 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id 10000 entities $$13.6 \mathrm{ms} \pm 133 \mathrm{μs}\left({\color{red}14.3 \mathrm{\%}}\right) $$ 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 $$12.1 \mathrm{ms} \pm 81.1 \mathrm{μs}\left({\color{red}6.74 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/book/v/1 $$12.8 \mathrm{ms} \pm 109 \mathrm{μs}\left({\color{red}12.6 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/building/v/1 $$11.9 \mathrm{ms} \pm 100 \mathrm{μs}\left({\color{gray}1.82 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/organization/v/1 $$12.0 \mathrm{ms} \pm 109 \mathrm{μs}\left({\color{red}6.95 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/page/v/2 $$12.8 \mathrm{ms} \pm 122 \mathrm{μs}\left({\color{red}11.5 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/person/v/1 $$12.4 \mathrm{ms} \pm 92.6 \mathrm{μs}\left({\color{red}9.71 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/playlist/v/1 $$12.5 \mathrm{ms} \pm 100.0 \mathrm{μs}\left({\color{red}10.1 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/song/v/1 $$11.7 \mathrm{ms} \pm 73.9 \mathrm{μs}\left({\color{gray}1.13 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/uk-address/v/1 $$12.0 \mathrm{ms} \pm 95.9 \mathrm{μs}\left({\color{gray}4.59 \mathrm{\%}}\right) $$ Flame Graph

representative_read_entity_type

Function Value Mean Flame graphs
get_entity_type_by_id Account ID: bf5a9ef5-dc3b-43cf-a291-6210c0321eba $$8.91 \mathrm{ms} \pm 74.0 \mathrm{μs}\left({\color{red}5.63 \mathrm{\%}}\right) $$ Flame Graph

representative_read_multiple_entities

Function Value Mean Flame graphs
entity_by_property traversal_paths=0 0 $$64.2 \mathrm{ms} \pm 542 \mathrm{μs}\left({\color{gray}4.65 \mathrm{\%}}\right) $$
entity_by_property traversal_paths=255 1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true $$114 \mathrm{ms} \pm 553 \mathrm{μs}\left({\color{gray}-2.796 \mathrm{\%}}\right) $$
entity_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false $$70.2 \mathrm{ms} \pm 653 \mathrm{μs}\left({\color{gray}-0.082 \mathrm{\%}}\right) $$
entity_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true $$79.0 \mathrm{ms} \pm 523 \mathrm{μs}\left({\color{gray}-0.383 \mathrm{\%}}\right) $$
entity_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true $$86.8 \mathrm{ms} \pm 518 \mathrm{μs}\left({\color{gray}-2.101 \mathrm{\%}}\right) $$
entity_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true $$92.7 \mathrm{ms} \pm 517 \mathrm{μs}\left({\color{gray}-2.918 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=0 0 $$44.5 \mathrm{ms} \pm 228 \mathrm{μs}\left({\color{gray}-1.473 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=255 1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true $$72.6 \mathrm{ms} \pm 367 \mathrm{μs}\left({\color{gray}-1.811 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false $$51.8 \mathrm{ms} \pm 404 \mathrm{μs}\left({\color{gray}2.10 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true $$59.8 \mathrm{ms} \pm 445 \mathrm{μs}\left({\color{gray}-2.695 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true $$63.7 \mathrm{ms} \pm 783 \mathrm{μs}\left({\color{gray}-2.296 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true $$64.4 \mathrm{ms} \pm 412 \mathrm{μs}\left({\color{gray}2.19 \mathrm{\%}}\right) $$

scenarios

Function Value Mean Flame graphs
full_test query-limited $$123 \mathrm{ms} \pm 586 \mathrm{μs}\left({\color{gray}-0.081 \mathrm{\%}}\right) $$ Flame Graph
full_test query-unlimited $$135 \mathrm{ms} \pm 475 \mathrm{μs}\left({\color{gray}-0.523 \mathrm{\%}}\right) $$ Flame Graph
linked_queries query-limited $$18.9 \mathrm{ms} \pm 136 \mathrm{μs}\left({\color{gray}-4.456 \mathrm{\%}}\right) $$ Flame Graph
linked_queries query-unlimited $$563 \mathrm{ms} \pm 1.04 \mathrm{ms}\left({\color{gray}2.56 \mathrm{\%}}\right) $$ Flame Graph

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