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BE-364: Rework symbol representation for speed and size#8343

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BE-364: Rework symbol representation for speed and size#8343
indietyp wants to merge 21 commits intobm/be-360-hashql-rework-compiletestfrom
bm/be-364-hashql-rework-symbol-to-be-faster-and-smaller

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@indietyp indietyp commented Feb 2, 2026

🌟 What is the purpose of this PR?

Reworks the HashQL symbol infrastructure to be faster and smaller by using a tagged pointer representation that distinguishes between compile-time constant symbols and runtime-interned symbols.

🔍 What does this change?

  • Introduces Repr, a tagged pointer representation for symbols:
    • Constant symbols: Index encoded in pointer bits, pointing into static SYMBOLS array ('static lifetime)
    • Runtime symbols: Pointer to bump-allocated RuntimeRepr with inline length + string data
  • Reworks SymbolTable from a generic ID→Symbol mapping to a string-interning hash table
  • Adds ConstantSymbol type for compile-time pattern matching against predefined symbols
  • Rewrites symbols! macro to generate:
    • SYMBOLS: Static slice for interner pre-population
    • Symbol constants with companion modules containing CONST: ConstantSymbol
    • LOOKUP: String→Repr mapping for fast runtime lookup
  • Adds SymbolLookup type for O(1) constant symbol detection during interning
  • Adds comprehensive benchmarks for symbol interning and lookup operations
  • Updates all symbol usages across HIR, MIR, and eval crates

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

None.

🛡 What tests cover this?

  • Unit tests in symbol/repr.rs, symbol/table.rs, symbol/sym.rs
  • Existing HIR/MIR tests exercise the updated symbol infrastructure

❓ How to test this?

  1. cargo nextest run --package hashql-core
  2. cargo bench --package hashql-core -- symbol to verify performance

📊 Benchmarks

Operation Improvement
Intern unique -12–30% (-34% with local lock)
Intern repeated +2–4% (-32% with local lock)
Mixed workload within noise
Constant access -40%
Equality (constant + runtime) -20%
Hashing (constant + runtime) -50%
Constant as_str +100%
Runtime as_str +40%
Type checker simulation -64%

Type system benchmarks: -10–0% speedup

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PR Summary

High Risk
Touches core interning/memory-lifetime invariants and renames many sym::* constants across multiple crates, so subtle correctness or UB issues could surface if reset/priming assumptions are violated.

Overview
Reworks HashQL symbol infrastructure around a single-word tagged representation. Symbol now wraps a tagged-pointer Repr that encodes either a predefined constant symbol (index into a static table) or a runtime bump-allocated symbol, with ConstantSymbol enabling efficient pattern matching via Symbol::as_constant().

Replaces and splits symbol storage responsibilities. Heap interning moves from a HashSet<&'static str> guarded by a Mutex to a LocalLock<SymbolTable> string interner that is primed/reset (must reset table before arena reset). The old ID→symbol SymbolTable is replaced by SymbolLookup for identifier→symbol mappings.

Updates the static symbol definitions and call sites. The symbols! macro and sym constants are regenerated (new SYMBOLS/LOOKUP, renamed punctuation like eq/eqeq, etc.), and uses across AST lowering, pretty-printers, HIR/MIR, and eval are updated to match—including converting many string/field checks to constant-symbol matches.

Adds extensive unit tests for the new repr/interner behavior, tweaks some literal APIs to take self by value, and introduces a new hashql-core symbol benchmark plus Miri coverage for symbol-related tests.

Written by Cursor Bugbot for commit d01e6d2. This will update automatically on new commits. Configure here.

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@github-actions github-actions bot added area/infra Relates to version control, CI, CD or IaC (area) area/libs Relates to first-party libraries/crates/packages (area) type/eng > backend Owned by the @backend team labels Feb 2, 2026
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indietyp commented Feb 2, 2026 •
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Codecov Report

❌ Patch coverage is 88.50000% with 69 lines in your changes missing coverage. Please review.
✅ Project coverage is 66.28%. Comparing base (864f436) to head (d01e6d2).

Files with missing lines Patch % Lines
libs/@local/hashql/core/src/heap/mod.rs 34.61% 17 Missing ⚠️
libs/@local/hashql/core/src/symbol/mod.rs 82.50% 14 Missing ⚠️
libs/@local/hashql/eval/src/graph/read/path.rs 33.33% 12 Missing ⚠️
libs/@local/hashql/core/src/symbol/lookup.rs 85.00% 6 Missing ⚠️
libs/@local/hashql/mir/src/body/rvalue/binary.rs 0.00% 6 Missing ⚠️
libs/@local/hashql/core/src/symbol/repr.rs 96.77% 4 Missing and 1 partial ⚠️
...lysis/execution/statement_placement/lookup/trie.rs 20.00% 4 Missing ⚠️
libs/@local/hashql/core/src/symbol/table.rs 98.95% 2 Missing ⚠️
libs/@local/hashql/hir/src/node/operation/unary.rs 0.00% 2 Missing ⚠️
libs/@local/hashql/hir/src/pretty.rs 92.85% 0 Missing and 1 partial ⚠️
Additional details and impacted files 
@@                           Coverage Diff                            @@
##           bm/be-360-hashql-rework-compiletest    #8343       +/-   ##
========================================================================
- Coverage                                90.04%   66.28%   -23.77%     
========================================================================
  Files                                       37      793      +756     
  Lines                                     6709    71044    +64335     
  Branches                                   137     3867     +3730     
========================================================================
+ Hits                                      6041    47090    +41049     
- Misses                                     601    23413    +22812     
- Partials                                    67      541      +474
Flag Coverage Δ
apps.hash-ai-worker-ts 1.41% <ø> (?)
apps.hash-api 0.00% <ø> (?)
local.hash-graph-sdk 10.88% <ø> (?)
local.hash-isomorphic-utils 0.00% <ø> (?)
rust.harpc-net ?
rust.hash-graph-api 2.88% <ø> (?)
rust.hash-graph-types ?
rust.hashql-ast 87.25% <100.00%> (?)
rust.hashql-compiletest 29.69% <ø> (?)
rust.hashql-core 81.53% <91.66%> (?)
rust.hashql-eval 69.13% <33.33%> (?)
rust.hashql-hir 89.11% <88.00%> (?)
rust.hashql-mir 90.19% <64.28%> (?)
rust.hashql-syntax-jexpr 94.05% <ø> (?)

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codspeed-hq bot commented Feb 2, 2026 •
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Merging this PR will improve performance by 15.93%

⚡ 3 improved benchmarks
✅ 18 untouched benchmarks
🆕 20 new benchmarks
🗄️ 12 archived benchmarks run1

Performance Changes

Benchmark BASE HEAD Efficiency
⚡ diamond 12.4 µs 10.7 µs +15.93%
⚡ linear 7.7 µs 7 µs +10.23%
⚡ complex 18.3 µs 16.2 µs +13.47%
🆕 type_checker_simulation N/A 480.8 ns N/A
🆕 constant_not_equal N/A < 1 ns N/A
🆕 constant N/A 29.7 ns N/A
🆕 constant_equal N/A < 1 ns N/A
🆕 as_constant N/A < 1 ns N/A
🆕 runtime N/A 29.7 ns N/A
🆕 runtime_not_equal N/A < 1 ns N/A
🆕 unique[10000] N/A 1.1 ms N/A
🆕 repeated[10000] N/A 22 ms N/A
🆕 unique[1000] N/A 119 µs N/A
🆕 repeated[100] N/A 232.4 µs N/A
🆕 lexer_simulation N/A 73.4 µs N/A
🆕 unique[100] N/A 20.1 µs N/A
🆕 mixed_workload N/A 80.4 µs N/A
🆕 repeated[1000] N/A 2.2 ms N/A
🆕 access N/A < 1 ns N/A
🆕 runtime N/A 375.6 ns N/A
... ... ... ... ...

ℹ️ Only the first 20 benchmarks are displayed. Go to the app to view all benchmarks.

Comparing bm/be-364-hashql-rework-symbol-to-be-faster-and-smaller (d01e6d2) with bm/be-360-hashql-rework-compiletest (864f436)

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Footnotes

  1. 12 benchmarks were run, but are now archived. If they were deleted in another branch, consider rebasing to remove them from the report. Instead if they were added back, click here to restore them. ↩

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🤖 Augment PR Summary

Summary: Reworks HashQL symbol infrastructure to a compact tagged-pointer representation, improving speed and memory footprint while enabling efficient matching against predefined symbols.

Changes:

  • Introduces `Repr` (tagged pointer) for symbols: constants encode an index into a static table; runtime symbols point to bump-allocated `RuntimeRepr` with inline bytes.
  • Replaces heap string storage with a dedicated `SymbolTable` string interner that is primed from generated `sym::LOOKUP` entries.
  • Adds `ConstantSymbol` plus `Symbol::as_constant()` to support const-pattern matching via `sym::NAME::CONST`.
  • Rewrites the `symbols!` macro to generate `SYMBOLS`, symbol constants, and a runtime lookup table; adds a uniqueness test for predefined strings.
  • Adds `SymbolLookup` (dense/gapped/sparse) for ID→Symbol mappings and updates HIR to use it.
  • Updates symbol usages across AST/HIR/MIR/eval (including operator and path symbol renames) to work with the new representation.
  • Adds a `symbol` benchmark suite and wires it into Cargo/package scripts (including Miri coverage).

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@indietyp indietyp force-pushed the bm/be-360-hashql-rework-compiletest branch from d7d7b06 to 864f436 Compare February 2, 2026 16:36
@indietyp indietyp force-pushed the bm/be-364-hashql-rework-symbol-to-be-faster-and-smaller branch from 237d423 to 1068059 Compare February 2, 2026 16:36
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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 $$26.7 \mathrm{ms} \pm 281 \mathrm{μs}\left({\color{gray}1.13 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: low, policies: 1 $$3.21 \mathrm{ms} \pm 21.3 \mathrm{μs}\left({\color{gray}0.338 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: medium, policies: 1001 $$12.3 \mathrm{ms} \pm 106 \mathrm{μs}\left({\color{gray}4.16 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: high, policies: 3314 $$42.5 \mathrm{ms} \pm 364 \mathrm{μs}\left({\color{gray}2.43 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: low, policies: 1 $$14.7 \mathrm{ms} \pm 102 \mathrm{μs}\left({\color{red}8.48 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: medium, policies: 1526 $$24.1 \mathrm{ms} \pm 127 \mathrm{μs}\left({\color{red}7.39 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: high, policies: 2078 $$43.1 \mathrm{ms} \pm 269 \mathrm{μs}\left({\color{gray}1.50 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: low, policies: 1 $$19.9 \mathrm{ms} \pm 174 \mathrm{μs}\left({\color{gray}2.04 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: medium, policies: 1033 $$28.8 \mathrm{ms} \pm 236 \mathrm{μs}\left({\color{gray}3.52 \mathrm{\%}}\right) $$ Flame Graph

policy_resolution_medium

Function Value Mean Flame graphs
resolve_policies_for_actor user: empty, selectivity: high, policies: 102 $$3.82 \mathrm{ms} \pm 23.3 \mathrm{μs}\left({\color{red}5.64 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: low, policies: 1 $$2.88 \mathrm{ms} \pm 14.2 \mathrm{μs}\left({\color{gray}3.03 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: medium, policies: 51 $$3.36 \mathrm{ms} \pm 20.8 \mathrm{μs}\left({\color{red}5.92 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: high, policies: 269 $$5.44 \mathrm{ms} \pm 33.1 \mathrm{μs}\left({\color{red}9.60 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: low, policies: 1 $$3.63 \mathrm{ms} \pm 27.1 \mathrm{μs}\left({\color{red}8.58 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: medium, policies: 107 $$4.14 \mathrm{ms} \pm 26.0 \mathrm{μs}\left({\color{red}6.36 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: high, policies: 133 $$4.58 \mathrm{ms} \pm 37.3 \mathrm{μs}\left({\color{red}7.22 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: low, policies: 1 $$3.41 \mathrm{ms} \pm 20.3 \mathrm{μs}\left({\color{red}6.26 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: medium, policies: 63 $$4.36 \mathrm{ms} \pm 30.4 \mathrm{μs}\left({\color{red}14.5 \mathrm{\%}}\right) $$ Flame Graph

policy_resolution_none

Function Value Mean Flame graphs
resolve_policies_for_actor user: empty, selectivity: high, policies: 2 $$2.37 \mathrm{ms} \pm 10.4 \mathrm{μs}\left({\color{gray}1.26 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: low, policies: 1 $$2.31 \mathrm{ms} \pm 10.1 \mathrm{μs}\left({\color{gray}-0.153 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: medium, policies: 1 $$2.39 \mathrm{ms} \pm 9.48 \mathrm{μs}\left({\color{gray}-0.337 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: high, policies: 8 $$2.62 \mathrm{ms} \pm 12.1 \mathrm{μs}\left({\color{gray}1.41 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: low, policies: 1 $$2.51 \mathrm{ms} \pm 12.8 \mathrm{μs}\left({\color{gray}0.891 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: medium, policies: 3 $$2.74 \mathrm{ms} \pm 18.4 \mathrm{μs}\left({\color{gray}3.14 \mathrm{\%}}\right) $$ Flame Graph

policy_resolution_small

Function Value Mean Flame graphs
resolve_policies_for_actor user: empty, selectivity: high, policies: 52 $$2.76 \mathrm{ms} \pm 15.8 \mathrm{μs}\left({\color{gray}-0.212 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: low, policies: 1 $$2.40 \mathrm{ms} \pm 11.1 \mathrm{μs}\left({\color{gray}0.330 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: empty, selectivity: medium, policies: 25 $$2.58 \mathrm{ms} \pm 15.6 \mathrm{μs}\left({\color{gray}1.58 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: high, policies: 94 $$3.09 \mathrm{ms} \pm 18.6 \mathrm{μs}\left({\color{gray}0.923 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: low, policies: 1 $$2.72 \mathrm{ms} \pm 16.7 \mathrm{μs}\left({\color{gray}4.13 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: seeded, selectivity: medium, policies: 26 $$2.93 \mathrm{ms} \pm 20.2 \mathrm{μs}\left({\color{gray}3.41 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: high, policies: 66 $$2.99 \mathrm{ms} \pm 15.8 \mathrm{μs}\left({\color{gray}-0.084 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: low, policies: 1 $$2.63 \mathrm{ms} \pm 12.0 \mathrm{μs}\left({\color{gray}0.627 \mathrm{\%}}\right) $$ Flame Graph
resolve_policies_for_actor user: system, selectivity: medium, policies: 29 $$2.86 \mathrm{ms} \pm 11.8 \mathrm{μs}\left({\color{gray}0.279 \mathrm{\%}}\right) $$ Flame Graph

read_scaling_complete

Function Value Mean Flame graphs
entity_by_id;one_depth 1 entities $$39.0 \mathrm{ms} \pm 178 \mathrm{μs}\left({\color{gray}2.02 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;one_depth 10 entities $$76.7 \mathrm{ms} \pm 446 \mathrm{μs}\left({\color{gray}2.91 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;one_depth 25 entities $$43.4 \mathrm{ms} \pm 207 \mathrm{μs}\left({\color{gray}4.12 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;one_depth 5 entities $$45.6 \mathrm{ms} \pm 285 \mathrm{μs}\left({\color{gray}2.05 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;one_depth 50 entities $$54.2 \mathrm{ms} \pm 349 \mathrm{μs}\left({\color{gray}3.01 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;two_depth 1 entities $$40.5 \mathrm{ms} \pm 171 \mathrm{μs}\left({\color{gray}1.62 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;two_depth 10 entities $$420 \mathrm{ms} \pm 1.08 \mathrm{ms}\left({\color{gray}0.253 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;two_depth 25 entities $$97.9 \mathrm{ms} \pm 389 \mathrm{μs}\left({\color{red}8.42 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;two_depth 5 entities $$85.2 \mathrm{ms} \pm 270 \mathrm{μs}\left({\color{gray}-0.015 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;two_depth 50 entities $$289 \mathrm{ms} \pm 811 \mathrm{μs}\left({\color{gray}3.09 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;zero_depth 1 entities $$15.1 \mathrm{ms} \pm 62.5 \mathrm{μs}\left({\color{gray}3.25 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;zero_depth 10 entities $$14.9 \mathrm{ms} \pm 75.1 \mathrm{μs}\left({\color{gray}0.969 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;zero_depth 25 entities $$15.4 \mathrm{ms} \pm 80.7 \mathrm{μs}\left({\color{gray}-3.390 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;zero_depth 5 entities $$14.9 \mathrm{ms} \pm 69.7 \mathrm{μs}\left({\color{gray}1.33 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id;zero_depth 50 entities $$18.1 \mathrm{ms} \pm 135 \mathrm{μs}\left({\color{gray}0.998 \mathrm{\%}}\right) $$ Flame Graph

read_scaling_linkless

Function Value Mean Flame graphs
entity_by_id 1 entities $$14.6 \mathrm{ms} \pm 71.4 \mathrm{μs}\left({\color{gray}-1.361 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id 10 entities $$14.9 \mathrm{ms} \pm 67.3 \mathrm{μs}\left({\color{gray}-1.293 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id 100 entities $$15.1 \mathrm{ms} \pm 112 \mathrm{μs}\left({\color{gray}-0.408 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id 1000 entities $$15.1 \mathrm{ms} \pm 60.9 \mathrm{μs}\left({\color{gray}-4.534 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id 10000 entities $$22.6 \mathrm{ms} \pm 133 \mathrm{μs}\left({\color{gray}-0.865 \mathrm{\%}}\right) $$ 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 $$29.9 \mathrm{ms} \pm 309 \mathrm{μs}\left({\color{gray}-2.825 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/book/v/1 $$31.2 \mathrm{ms} \pm 335 \mathrm{μs}\left({\color{gray}1.73 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/building/v/1 $$30.8 \mathrm{ms} \pm 309 \mathrm{μs}\left({\color{gray}-3.973 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/organization/v/1 $$29.1 \mathrm{ms} \pm 272 \mathrm{μs}\left({\color{gray}-4.906 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/page/v/2 $$30.9 \mathrm{ms} \pm 336 \mathrm{μs}\left({\color{gray}-0.030 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/person/v/1 $$30.1 \mathrm{ms} \pm 238 \mathrm{μs}\left({\color{gray}-2.461 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/playlist/v/1 $$30.4 \mathrm{ms} \pm 300 \mathrm{μs}\left({\color{gray}-1.518 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/song/v/1 $$30.2 \mathrm{ms} \pm 311 \mathrm{μs}\left({\color{gray}-2.460 \mathrm{\%}}\right) $$ Flame Graph
entity_by_id entity type ID: https://blockprotocol.org/@alice/types/entity-type/uk-address/v/1 $$31.3 \mathrm{ms} \pm 272 \mathrm{μs}\left({\color{gray}0.985 \mathrm{\%}}\right) $$ Flame Graph

representative_read_entity_type

Function Value Mean Flame graphs
get_entity_type_by_id Account ID: bf5a9ef5-dc3b-43cf-a291-6210c0321eba $$8.19 \mathrm{ms} \pm 61.5 \mathrm{μs}\left({\color{gray}-2.894 \mathrm{\%}}\right) $$ Flame Graph

representative_read_multiple_entities

Function Value Mean Flame graphs
entity_by_property traversal_paths=0 0 $$47.2 \mathrm{ms} \pm 223 \mathrm{μs}\left({\color{gray}-3.047 \mathrm{\%}}\right) $$
entity_by_property traversal_paths=255 1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true $$92.0 \mathrm{ms} \pm 402 \mathrm{μs}\left({\color{gray}-3.068 \mathrm{\%}}\right) $$
entity_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false $$53.4 \mathrm{ms} \pm 280 \mathrm{μs}\left({\color{gray}-3.435 \mathrm{\%}}\right) $$
entity_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true $$58.9 \mathrm{ms} \pm 261 \mathrm{μs}\left({\color{lightgreen}-6.827 \mathrm{\%}}\right) $$
entity_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true $$67.8 \mathrm{ms} \pm 328 \mathrm{μs}\left({\color{lightgreen}-6.341 \mathrm{\%}}\right) $$
entity_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true $$74.2 \mathrm{ms} \pm 330 \mathrm{μs}\left({\color{gray}-3.677 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=0 0 $$47.5 \mathrm{ms} \pm 256 \mathrm{μs}\left({\color{lightgreen}-8.034 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=255 1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true $$76.0 \mathrm{ms} \pm 366 \mathrm{μs}\left({\color{gray}-0.351 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false $$54.5 \mathrm{ms} \pm 433 \mathrm{μs}\left({\color{lightgreen}-8.479 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true $$61.8 \mathrm{ms} \pm 396 \mathrm{μs}\left({\color{lightgreen}-6.061 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true $$64.9 \mathrm{ms} \pm 488 \mathrm{μs}\left({\color{lightgreen}-5.323 \mathrm{\%}}\right) $$
link_by_source_by_property traversal_paths=2 1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true $$66.0 \mathrm{ms} \pm 355 \mathrm{μs}\left({\color{gray}-2.168 \mathrm{\%}}\right) $$

scenarios

Function Value Mean Flame graphs
full_test query-limited $$142 \mathrm{ms} \pm 729 \mathrm{μs}\left({\color{gray}3.21 \mathrm{\%}}\right) $$ Flame Graph
full_test query-unlimited $$140 \mathrm{ms} \pm 643 \mathrm{μs}\left({\color{gray}2.15 \mathrm{\%}}\right) $$ Flame Graph
linked_queries query-limited $$104 \mathrm{ms} \pm 422 \mathrm{μs}\left({\color{gray}-0.876 \mathrm{\%}}\right) $$ Flame Graph
linked_queries query-unlimited $$600 \mathrm{ms} \pm 3.55 \mathrm{ms}\left({\color{gray}0.149 \mathrm{\%}}\right) $$ Flame Graph

@indietyp indietyp mentioned this pull request Feb 3, 2026
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