BE-522: HashQL: Expand stdlib type system with temporal types by indietyp · Pull Request #8674 · hashintel/hash

indietyp · 2026-04-29T14:05:41Z

🌟 What is the purpose of this PR?

This PR expands the HashQL standard library's temporal type system and refactors how standard library types are defined and exposed. The QueryTemporalAxes type, previously a stub in the graph module, is replaced with a fully-specified temporal module containing a rich set of temporal bound and interval types (Timestamp, TemporalBound, Interval, LeftClosedTemporalInterval, RightBoundedTemporalInterval, PinnedTransactionTimeTemporalAxes, PinnedDecisionTimeTemporalAxes, QueryTemporalAxes, etc.). Entity types in the knowledge graph are updated to use real temporal metadata (using LeftClosedTemporalInterval) instead of opaque Unknown wrappers.

Alongside this, type construction logic is extracted into public types submodules for each standard library module, enabling external consumers to construct monomorphized type instances without going through the full module registration machinery. Several modules are made pub to support this. The ScratchPool allocator is introduced for multi-threaded bump allocation, and FromIn<&str, A> for Rc<str, A> is implemented. The RuntimeRepr symbol representation is refactored to use extern "C" unsized types and raw pointer field access to avoid provenance issues.

🔗 Related links

🔍 What does this change?

Introduces graph::temporal as a new standard library module with a full set of temporal types: Timestamp, DecisionTime, TransactionTime, UnboundedTemporalBound, InclusiveTemporalBound, ExclusiveTemporalBound, TemporalBound, FiniteTemporalBound, OpenTemporalBound, Interval, LeftClosedTemporalInterval, RightBoundedTemporalInterval, PinnedTransactionTimeTemporalAxes, PinnedDecisionTimeTemporalAxes, and QueryTemporalAxes.
Removes the stub QueryTemporalAxes (previously an empty opaque struct) from graph::Graph and moves it to the new temporal module.
Updates entity knowledge types to depend on graph::temporal::Temporal and use LeftClosedTemporalInterval for TemporalMetadata instead of an opaque Unknown wrapper.
Extracts type construction into public types submodules for core::option, core::url, core::uuid, graph::temporal, graph::types::ontology, graph::types::principal::actor_group, graph::types::principal::actor_group::web, and graph::types::knowledge::entity, each accepting optional dependency structs for injection.
Makes std_lib, std_lib::core, std_lib::graph, graph::types, graph::types::knowledge, graph::types::ontology, graph::types::principal, graph::types::principal::actor_group, graph::types::principal::actor_group::web, graph::temporal, module::std_lib, and module::std_lib::core::option/url/uuid public.
Adds ScratchPool and ScratchPoolGuard to the heap module, providing a Sync-capable pool of bump allocators backed by bump_scope::BumpPool.
Implements FromIn<&str, A> for Rc<str, A> with tests covering unicode, empty strings, and clone sharing.
Refactors RuntimeRepr to use an extern "C" unsized Unsize type and raw pointer field access (&raw const/mut) to avoid provenance narrowing issues, replacing str_from_raw_parts with str::from_utf8_unchecked and get_mut_unchecked/extern_types nightly features.
Migrates string literals used as symbol names and type paths to sym:: constants throughout, eliminating most heap.intern_symbol("...") calls.
Adds many new entries to the sym symbol table, including type names, field names, and fully-qualified path symbols for all new and existing types.

🛡 What tests cover this?

New unit tests for FromIn<&str, A> for Rc<str, A>: basic conversion, unicode, empty string, and clone pointer equality.
Existing standard library module integration tests cover the updated type definitions.

❓ How to test this?

Run cargo test -p hashql-core and confirm all tests pass.
Verify that the temporal module types are accessible and correctly structured via the standard library manifest.

vercel · 2026-04-29T14:05:50Z

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Project	Deployment	Actions	Updated (UTC)
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cursor · 2026-04-29T14:05:51Z

PR Summary

Medium Risk
Touches core type definitions and symbol memory representation, including new unsafe pointer/provenance handling, so regressions could affect type checking and symbol interning. Changes are well-scoped but impact foundational libraries used broadly across HashQL.

Overview
Expands HashQL’s stdlib type surface, introducing a new ::graph::temporal module that replaces the old stub QueryTemporalAxes and defines concrete timestamp/bound/interval/axes types used throughout graph queries.

Refactors stdlib type construction by extracting reusable types helper modules (e.g. core::option/url/uuid, graph::types::*, graph::temporal) and making several stdlib modules public, enabling external callers to build monomorphized types without full module registration.

Updates graph/entity types and tests to use the new temporal metadata structures (e.g. RecordId, TemporalMetadata, LeftClosedTemporalInterval) and adjusts many UI snapshot expectations accordingly.

Heap/runtime improvements add a thread-shareable bump allocator pool (ScratchPool) and allocator-aware Rc<str> conversion, while tightening symbol runtime representation (RuntimeRepr) to avoid provenance UB via a new layout and raw-pointer access patterns.

^{Reviewed by Cursor Bugbot for commit 5d01d1e. Bugbot is set up for automated code reviews on this repo. Configure here.}

indietyp · 2026-04-29T14:06:30Z

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codspeed-hq · 2026-04-29T14:11:49Z

Merging this PR will degrade performance by 16.09%

❌ 2 (👁 2) regressed benchmarks
✅ 78 untouched benchmarks

Performance Changes

	Benchmark	`BASE`	`HEAD`	Efficiency
👁	`pattern_match_constant`	180 ns	209.2 ns	-13.94%
👁	`unique[100]`	20.1 µs	24.6 µs	-18.18%

_{Comparing bm/be-522-hashql-expand-stdlib-type-definitions (5d01d1e) with main (56860d0)}

feat: make Int size aware feat: postgres serialization feat: checkpoint feat: checkpoint feat: checkpoint feat: errors feat: psql codec feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: move bridge -> orchestrator feat: move bridge -> orchestrator feat: organize the runtime a bit more feat: organize the runtime a bit more feat: checkpoint feat: checkpoint feat: checkpoint feat: checkpoint feat: organize the runtime a bit more feat: finish orchestrator first version feat: finish orchestrator first version feat: feat: move out suspension requests to own module chore: clippy feat: split out into more manageable functions feat: split out into more manageable functions chore: orchestrator docs feat: organize the runtime a bit more feat: test orchestrator feat: better symbol repr feat: orchestrator test harness feat: orchestrator test harness feat: orchestrator test harness feat: orchestrator test harness feat: orchestrator test harness feat: test orchestrator feat: pipeline feat: bless snapshots chore: tests chore: masking chore: tests fix: SSA repair chiore: ssa repair snapshots feat: orchestrator test harness chore: remove spec fix: library features chore: update snapshots chore: update docs

Latest approval commit 9047680 is not an ancestor of 5d01d1e, indicating rewritten history after approval

graphite-app · 2026-05-18T08:45:39Z

Merge activity

May 18, 8:45 AM UTC: Graphite rebased this pull request, because this pull request is set to merge when ready.

github-actions · 2026-05-18T10:19:28Z

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	$$26.1 \mathrm{ms} \pm 128 \mathrm{μs}\left({\color{gray}1.75 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.44 \mathrm{ms} \pm 18.5 \mathrm{μs}\left({\color{gray}0.945 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1001	$$12.4 \mathrm{ms} \pm 64.0 \mathrm{μs}\left({\color{gray}1.70 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 3314	$$43.5 \mathrm{ms} \pm 279 \mathrm{μs}\left({\color{gray}2.19 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$14.7 \mathrm{ms} \pm 89.6 \mathrm{μs}\left({\color{gray}0.426 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 1526	$$24.3 \mathrm{ms} \pm 128 \mathrm{μs}\left({\color{gray}2.41 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 2078	$$26.7 \mathrm{ms} \pm 155 \mathrm{μs}\left({\color{gray}0.481 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.76 \mathrm{ms} \pm 15.5 \mathrm{μs}\left({\color{gray}1.68 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 1033	$$13.8 \mathrm{ms} \pm 96.0 \mathrm{μs}\left({\color{gray}4.63 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_medium

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 102	$$3.72 \mathrm{ms} \pm 17.8 \mathrm{μs}\left({\color{gray}-0.087 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.99 \mathrm{ms} \pm 12.6 \mathrm{μs}\left({\color{gray}-0.446 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 51	$$3.39 \mathrm{ms} \pm 23.2 \mathrm{μs}\left({\color{gray}1.61 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 269	$$5.13 \mathrm{ms} \pm 27.9 \mathrm{μs}\left({\color{gray}1.32 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.58 \mathrm{ms} \pm 16.2 \mathrm{μs}\left({\color{gray}0.394 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 107	$$4.16 \mathrm{ms} \pm 24.0 \mathrm{μs}\left({\color{gray}2.31 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 133	$$4.45 \mathrm{ms} \pm 29.5 \mathrm{μs}\left({\color{gray}0.866 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.50 \mathrm{ms} \pm 21.7 \mathrm{μs}\left({\color{gray}1.96 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 63	$$4.18 \mathrm{ms} \pm 21.3 \mathrm{μs}\left({\color{gray}4.09 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_none

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2	$$2.73 \mathrm{ms} \pm 12.6 \mathrm{μs}\left({\color{gray}-0.661 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.76 \mathrm{ms} \pm 15.2 \mathrm{μs}\left({\color{gray}1.76 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1	$$2.87 \mathrm{ms} \pm 17.9 \mathrm{μs}\left({\color{gray}1.29 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 8	$$3.10 \mathrm{ms} \pm 18.6 \mathrm{μs}\left({\color{gray}1.01 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$2.89 \mathrm{ms} \pm 9.58 \mathrm{μs}\left({\color{gray}0.247 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 3	$$3.21 \mathrm{ms} \pm 14.3 \mathrm{μs}\left({\color{gray}1.72 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_small

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 52	$$3.09 \mathrm{ms} \pm 17.1 \mathrm{μs}\left({\color{gray}0.176 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.79 \mathrm{ms} \pm 11.5 \mathrm{μs}\left({\color{gray}-1.258 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 25	$$2.97 \mathrm{ms} \pm 13.6 \mathrm{μs}\left({\color{gray}-0.711 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 94	$$3.50 \mathrm{ms} \pm 17.1 \mathrm{μs}\left({\color{gray}-0.318 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.08 \mathrm{ms} \pm 16.3 \mathrm{μs}\left({\color{gray}0.499 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 26	$$3.31 \mathrm{ms} \pm 17.7 \mathrm{μs}\left({\color{gray}-0.371 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 66	$$3.43 \mathrm{ms} \pm 16.2 \mathrm{μs}\left({\color{gray}-0.624 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.09 \mathrm{ms} \pm 20.8 \mathrm{μs}\left({\color{gray}0.133 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 29	$$3.35 \mathrm{ms} \pm 19.9 \mathrm{μs}\left({\color{gray}0.365 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_complete

Function	Value	Mean	Flame graphs
entity_by_id;one_depth	1 entities	$$44.9 \mathrm{ms} \pm 176 \mathrm{μs}\left({\color{gray}-0.422 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	10 entities	$$82.8 \mathrm{ms} \pm 440 \mathrm{μs}\left({\color{gray}1.92 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	25 entities	$$51.0 \mathrm{ms} \pm 255 \mathrm{μs}\left({\color{gray}-0.268 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	5 entities	$$50.7 \mathrm{ms} \pm 266 \mathrm{μs}\left({\color{gray}-0.937 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	50 entities	$$63.5 \mathrm{ms} \pm 295 \mathrm{μs}\left({\color{gray}2.51 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	1 entities	$$46.8 \mathrm{ms} \pm 209 \mathrm{μs}\left({\color{gray}1.37 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	10 entities	$$420 \mathrm{ms} \pm 999 \mathrm{μs}\left({\color{gray}4.07 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	25 entities	$$102 \mathrm{ms} \pm 404 \mathrm{μs}\left({\color{gray}-1.318 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	5 entities	$$84.8 \mathrm{ms} \pm 392 \mathrm{μs}\left({\color{gray}0.311 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	50 entities	$$325 \mathrm{ms} \pm 1.28 \mathrm{ms}\left({\color{gray}0.729 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	1 entities	$$20.9 \mathrm{ms} \pm 133 \mathrm{μs}\left({\color{red}5.18 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	10 entities	$$20.6 \mathrm{ms} \pm 127 \mathrm{μs}\left({\color{gray}-0.756 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	25 entities	$$20.2 \mathrm{ms} \pm 127 \mathrm{μs}\left({\color{gray}-4.102 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	5 entities	$$20.8 \mathrm{ms} \pm 135 \mathrm{μs}\left({\color{gray}1.71 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	50 entities	$$24.9 \mathrm{ms} \pm 131 \mathrm{μs}\left({\color{gray}-1.400 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_linkless

Function	Value	Mean	Flame graphs
entity_by_id	1 entities	$$19.8 \mathrm{ms} \pm 114 \mathrm{μs}\left({\color{gray}-0.517 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10 entities	$$19.9 \mathrm{ms} \pm 137 \mathrm{μs}\left({\color{gray}-0.251 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	100 entities	$$19.7 \mathrm{ms} \pm 92.8 \mathrm{μs}\left({\color{gray}-1.457 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	1000 entities	$$20.1 \mathrm{ms} \pm 115 \mathrm{μs}\left({\color{gray}-3.330 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10000 entities	$$26.0 \mathrm{ms} \pm 203 \mathrm{μs}\left({\color{gray}-1.277 \mathrm{\%}}\right) $$	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`	$$35.8 \mathrm{ms} \pm 267 \mathrm{μs}\left({\color{gray}2.24 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/book/v/1`	$$34.4 \mathrm{ms} \pm 308 \mathrm{μs}\left({\color{gray}-1.349 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/building/v/1`	$$36.7 \mathrm{ms} \pm 320 \mathrm{μs}\left({\color{red}8.15 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/organization/v/1`	$$34.2 \mathrm{ms} \pm 288 \mathrm{μs}\left({\color{gray}-0.997 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/page/v/2`	$$34.8 \mathrm{ms} \pm 307 \mathrm{μs}\left({\color{gray}-1.167 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/person/v/1`	$$33.6 \mathrm{ms} \pm 266 \mathrm{μs}\left({\color{gray}-1.183 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/playlist/v/1`	$$33.8 \mathrm{ms} \pm 252 \mathrm{μs}\left({\color{gray}-1.968 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/song/v/1`	$$34.6 \mathrm{ms} \pm 226 \mathrm{μs}\left({\color{gray}-1.300 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/uk-address/v/1`	$$34.1 \mathrm{ms} \pm 381 \mathrm{μs}\left({\color{gray}-3.220 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity_type

Function	Value	Mean	Flame graphs
get_entity_type_by_id	Account ID: `bf5a9ef5-dc3b-43cf-a291-6210c0321eba`	$$8.32 \mathrm{ms} \pm 32.1 \mathrm{μs}\left({\color{gray}-3.960 \mathrm{\%}}\right) $$	Flame Graph

representative_read_multiple_entities

Function	Value	Mean	Flame graphs
entity_by_property	traversal_paths=0	0	$$93.8 \mathrm{ms} \pm 527 \mathrm{μs}\left({\color{gray}-0.574 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$149 \mathrm{ms} \pm 494 \mathrm{μs}\left({\color{gray}-2.004 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$102 \mathrm{ms} \pm 481 \mathrm{μs}\left({\color{gray}-0.470 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$110 \mathrm{ms} \pm 751 \mathrm{μs}\left({\color{gray}0.448 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$119 \mathrm{ms} \pm 517 \mathrm{μs}\left({\color{gray}-1.893 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$128 \mathrm{ms} \pm 625 \mathrm{μs}\left({\color{gray}-1.304 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=0	0	$$104 \mathrm{ms} \pm 440 \mathrm{μs}\left({\color{gray}-2.162 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$131 \mathrm{ms} \pm 517 \mathrm{μs}\left({\color{gray}-3.187 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$111 \mathrm{ms} \pm 441 \mathrm{μs}\left({\color{gray}-2.087 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$117 \mathrm{ms} \pm 449 \mathrm{μs}\left({\color{gray}-3.864 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$119 \mathrm{ms} \pm 407 \mathrm{μs}\left({\color{gray}-4.096 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$121 \mathrm{ms} \pm 394 \mathrm{μs}\left({\color{gray}-0.300 \mathrm{\%}}\right) $$

scenarios

Function	Value	Mean	Flame graphs
full_test	query-limited	$$132 \mathrm{ms} \pm 626 \mathrm{μs}\left({\color{gray}-3.930 \mathrm{\%}}\right) $$	Flame Graph
full_test	query-unlimited	$$141 \mathrm{ms} \pm 580 \mathrm{μs}\left({\color{lightgreen}-5.318 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-limited	$$110 \mathrm{ms} \pm 460 \mathrm{μs}\left({\color{gray}1.17 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-unlimited	$$583 \mathrm{ms} \pm 3.26 \mathrm{ms}\left({\color{gray}2.09 \mathrm{\%}}\right) $$	Flame Graph

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Comment thread libs/@local/hashql/core/src/symbol/sym.rs

indietyp mentioned this pull request Apr 29, 2026

BE-523: HashQL: Suspendable interpreter with structured values and input system #8675

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indietyp changed the title ~~BE-435: HashQL: Expand stdlib type system with temporal types~~ BE-522: HashQL: Expand stdlib type system with temporal types Apr 29, 2026

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chore: update snapshots

baf4f7d

fix: formatting

0c8da91

chore: dependency diagrams

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indietyp added this pull request to the merge queue May 19, 2026

Merged via the queue into main with commit a474018 May 19, 2026
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indietyp deleted the bm/be-522-hashql-expand-stdlib-type-definitions branch May 19, 2026 11:59

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BE-522: HashQL: Expand stdlib type system with temporal types#8674

BE-522: HashQL: Expand stdlib type system with temporal types#8674
indietyp merged 4 commits into
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bm/be-522-hashql-expand-stdlib-type-definitions

indietyp commented Apr 29, 2026

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github-actions Bot commented May 18, 2026

@rust/hash-graph-benches – Integrations

policy_resolution_large

policy_resolution_medium

policy_resolution_none

policy_resolution_small

read_scaling_complete

read_scaling_linkless

representative_read_entity

representative_read_entity_type

representative_read_multiple_entities

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indietyp commented Apr 29, 2026

🌟 What is the purpose of this PR?

🔗 Related links

🔍 What does this change?

🛡 What tests cover this?

❓ How to test this?

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PR Summary

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Merging this PR will degrade performance by 16.09%

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graphite-app Bot commented May 18, 2026

Merge activity

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github-actions Bot commented May 18, 2026

Benchmark results

@rust/hash-graph-benches – Integrations

policy_resolution_large

policy_resolution_medium

policy_resolution_none

policy_resolution_small

read_scaling_complete

read_scaling_linkless

representative_read_entity

representative_read_entity_type

representative_read_multiple_entities

scenarios

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Uh oh!

Reviewers

Assignees

Labels

Milestone

Development

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2 participants

vercel Bot commented Apr 29, 2026 •

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indietyp commented Apr 29, 2026 •

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codspeed-hq Bot commented Apr 29, 2026 •

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