BE-306: HashQL: PostgreSQL translation by indietyp · Pull Request #8526 · hashintel/hash

indietyp · 2026-03-08T15:55:00Z

🌟 What is the purpose of this PR?

Implements the postgres compilation backend for HashQL. Takes the MIR control flow graph (after execution analysis has assigned basic blocks to backends and partitioned them into islands) and compiles the Postgres-assigned islands into SQL SELECT statements.

🔍 What does this change?

Postgres compiler (eval/src/postgres/mod.rs):
Top-level entry point. Compiles a GraphRead body island-by-island into a PreparedQuery (a SelectStatement + deduplicated Parameters list). Each Postgres island becomes a CROSS JOIN LATERAL subquery returning a continuation composite value. The continuation carries filter (keep/reject/passthrough), block (next basic block), and locals/values (live-out data for the interpreter to resume from).

Filter compiler (eval/src/postgres/filter/):
Walks the MIR basic blocks within an island and compiles each statement into SQL expressions. Uses an explicit frame stack (not recursion) to handle SwitchInt terminators: each branch becomes a CASE WHEN arm, with the discriminant cast to ::int to avoid boolean/integer type mismatches in PostgreSQL. Out-of-island branches produce continuation values that encode which block to resume and what locals to carry.

Projections (eval/src/postgres/projections.rs):
Maps EntityPath variants to SQL column references or JSONB extraction expressions. Tracks which table joins are needed and only requests them when a path is actually referenced. Handles the split between "column-backed" paths (entity_uuid, web_id, etc.) and "JSONB-backed" paths (properties, type IDs).

Parameters (eval/src/postgres/parameters.rs):
Builds the $1, $2, ... parameter list for the prepared statement. Deduplicates by identity. Each Parameter variant represents a different source: Input (user-provided values), Symbol/Primitive/Int (query literals), Env (closure captures), TemporalAxis (execution context). The CompiledQuery return type exposes which indices correspond to which sources so the interpreter can bind them.

Continuation (eval/src/postgres/continuation.rs):
Builds the ROW(filter, block, locals, values)::continuation composite values that encode island exit state. Handles the three exit cases: passthrough (NULL continuation), filter-only (just a boolean), and full exit (block + live-out locals serialized as parallel int[]/jsonb[] arrays).

Traverse (eval/src/postgres/traverse.rs):
Compiles graph traversal requirements into SQL joins. Reads the island's provides set to determine which entity paths need table joins, then requests them from the database context layer.

Error infrastructure (eval/src/postgres/error.rs):
Diagnostic types for compilation errors (unsupported operations, type mismatches, missing paths) with span-accurate source locations.

Context (eval/src/context.rs):
DatabaseContext trait and implementation that the compiler uses to request table aliases, register joins, and access the schema. Bridges between the HashQL type system and the graph-store query builder.

Compiletest suite (compiletest/src/suite/eval_postgres.rs):
New compiletest suite that runs the full pipeline (parse, type-check, lower to MIR, run execution analysis, compile to SQL) and compares the output against blessed .stdout files. Also emits .aux.mir secondary outputs showing the MIR after execution analysis for debugging.

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

OFFSET 0 on lateral subqueries is a workaround for PostgreSQL inlining composites; see continuation.rs doc comments for details.

🛡 What tests cover this?

Filter compiler unit tests (filter/tests.rs, ~1000 lines) using insta snapshots covering: straight-line blocks, branching CFGs, diamond merges, island exits, projections, property access, parameter deduplication, lateral subquery generation
30+ compiletest cases under eval/tests/ui/postgres/ covering end-to-end compilation: comparison operators, entity field access, input parameters, let bindings, if-expressions, nested branching, environment captures, list/dict/struct/tuple construction, multiple filters, mixed-source filters

❓ How to test this?

cargo nextest run -p hashql-eval
cargo run --package hashql-compiletest -- run

feat: checkpoint (II) feat: checkpoint (III) feat: snapshot vec feat: add dedicated filter feat: checkpoint feat: filter implementation feat: filter implementation (mostly) done chore: environment capture note chore: always postgres bigint feat: target clone feat: simplify lookup feat: move storage up feat: eval entity path chore: checkpoint chore: checkpoint chore: find entrypoint feat: eval context feat: eval cleanup chore: cleanup feat: track index feat: wire up filter feat: add error reporting chore: checkpoint feat: add traverse, and first postgres compiler outline feat: traverse bitmap feat: move traversal out feat: projections feat: projections fix: clippy feat: subquery projection for lateral feat: checkpoint feat: test plan feat: checkpoint feat: checkpoint – failing tests ;-; feat: checkpoint – failing tests ;-; feat: checkpoint — passing tests fix: import fix: entity type feat: checkpoint feat: attribute a cost to terminator placement switches fix: import feat: checkpoint feat: checkpoint chore: lint

cursor · 2026-03-08T15:55:05Z

PR Summary

High Risk
Introduces a new MIR→SQL compilation backend and changes query/type infrastructure, which can affect correctness and performance of database queries. Although parameterized and well-tested, it touches compiler invariants, liveness/island execution analysis integration, and SQL generation paths.

Overview
Adds a PostgreSQL compilation backend for HashQL by lowering GraphRead filter bodies (post-execution-analysis “islands”) into parameterized SQL SELECT statements, using CROSS JOIN LATERAL continuation subqueries to encode filter decisions and island exits (next block + live-out locals/values).

Extends hashql-eval with a new EvalContext (incl. traversal liveness/live-out computation), SQL parameter deduplication, lazy join/projection planning, entity-path→column mapping, and Postgres-specific diagnostics. Adds extensive snapshot coverage: a new eval/postgres compiletest suite plus insta-based unit tests and UI fixtures for generated SQL/MIR.

Also updates the Postgres query AST to support boolean types and adjusts workspace dependencies/diagrams to include the new Postgres/MIR integration.

^{Written by Cursor Bugbot for commit 5037fe8. This will update automatically on new commits. Configure here.}

vercel · 2026-03-08T15:55:05Z

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indietyp · 2026-03-08T15:55:21Z

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This pull request is not mergeable via GitHub because a downstack PR is open. Once all requirements are satisfied, merge this PR as a stack on Graphite.
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augmentcode · 2026-03-08T15:58:15Z

🤖 Augment PR Summary

Summary: Adds a PostgreSQL compilation backend for HashQL by lowering MIR execution islands into SQL SELECT statements with continuation-based control flow.

Key changes:

Introduces eval/src/postgres/ with a top-level PostgresCompiler that compiles GraphRead filters island-by-island into lateral subqueries returning a typed continuation composite.
Adds a CFG-to-SQL filter compiler (postgres/filter) that builds CASE WHEN trees iteratively (explicit frame stack) and emits island-exit continuations carrying live-out locals.
Implements parameter deduplication (postgres/parameters.rs) and lazy join planning/projection mapping (postgres/projections.rs, postgres/traverse.rs).
Adds new eval-level EvalContext + live-out dataflow computation used by the Postgres backend.
Extends diagnostics to include Postgres backend categories (postgres/error.rs + eval/src/error.rs integration).
Adds a new compiletest suite (compiletest/src/suite/eval_postgres.rs) and a sizable set of end-to-end UI test fixtures under eval/tests/ui/postgres/, plus MIR snapshot tests for hard-to-produce MIR shapes.

Technical notes: Compiled filter islands are materialized with CROSS JOIN LATERAL and OFFSET 0 to prevent Postgres from inlining/duplicating CASE trees; selected entity paths are driven by the island provides set and only trigger joins when referenced.

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Review completed. 2 suggestions posted.

Comment augment review to trigger a new review at any time.

libs/@local/hashql/eval/src/postgres/mod.rs

libs/@local/hashql/eval/src/postgres/traverse.rs

codspeed-hq · 2026-03-08T15:59:34Z

Merging this PR will not alter performance

✅ 80 untouched benchmarks

_{Comparing bm/be-306-hashql-postgres-translation (5037fe8) with bm/be-457-hashql-mir-execution-pipeline-extensions-for-postgres (db87959)}

libs/@local/hashql/eval/src/postgres/continuation.rs

libs/@local/hashql/eval/src/postgres/filter/mod.rs

libs/@local/hashql/eval/src/postgres/mod.rs

libs/@local/hashql/eval/src/postgres/parameters.rs

libs/@local/hashql/eval/src/postgres/projections.rs

libs/@local/hashql/eval/src/postgres/traverse.rs

codecov · 2026-03-08T16:20:48Z

Codecov Report

❌ Patch coverage is 94.61182% with 93 lines in your changes missing coverage. Please review.
✅ Project coverage is 63.23%. Comparing base (db87959) to head (5037fe8).

Files with missing lines	Patch %	Lines
libs/@local/hashql/eval/src/postgres/filter/mod.rs	89.30%	43 Missing and 5 partials ⚠️
libs/@local/hashql/eval/src/postgres/error.rs	0.00%	22 Missing ⚠️
...bs/@local/hashql/eval/src/postgres/filter/tests.rs	98.22%	5 Missing and 3 partials ⚠️
libs/@local/hashql/eval/src/postgres/mod.rs	96.95%	4 Missing and 1 partial ⚠️
libs/@local/hashql/eval/src/postgres/traverse.rs	96.00%	5 Missing ⚠️
libs/@local/hashql/eval/src/context.rs	95.55%	1 Missing and 1 partial ⚠️
libs/@local/hashql/eval/src/postgres/parameters.rs	98.26%	2 Missing ⚠️
libs/@local/hashql/eval/src/error.rs	0.00%	1 Missing ⚠️

Additional details and impacted files

@@                                         Coverage Diff                                         @@
##           bm/be-457-hashql-mir-execution-pipeline-extensions-for-postgres    #8526      +/-   ##
===================================================================================================
+ Coverage                                                            62.89%   63.23%   +0.34%     
===================================================================================================
  Files                                                                 1320     1329       +9     
  Lines                                                               135182   137063    +1881     
  Branches                                                              5514     5540      +26     
===================================================================================================
+ Hits                                                                 85025    86678    +1653     
- Misses                                                               49242    49460     +218     
- Partials                                                               915      925      +10

Flag	Coverage Δ
apps.hash-ai-worker-ts	`1.40% <ø> (ø)`
apps.hash-api	`0.00% <ø> (ø)`
local.hash-graph-sdk	`7.73% <ø> (ø)`
local.hash-isomorphic-utils	`0.00% <ø> (ø)`
rust.hash-graph-api	`2.64% <ø> (ø)`
rust.hashql-compiletest	`29.69% <ø> (ø)`
rust.hashql-eval	`80.88% <94.61%> (+11.25%)`	⬆️

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libs/@local/hashql/eval/src/postgres/filter/mod.rs

libs/@local/hashql/eval/src/postgres/filter/tests.rs

libs/@local/hashql/eval/src/postgres/parameters.rs

libs/@local/hashql/eval/src/postgres/mod.rs

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.}

libs/@local/hashql/eval/src/postgres/traverse.rs

github-actions · 2026-03-08T19:47:39Z

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	$$29.0 \mathrm{ms} \pm 167 \mathrm{μs}\left({\color{gray}3.35 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.65 \mathrm{ms} \pm 17.3 \mathrm{μs}\left({\color{gray}3.50 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1001	$$13.0 \mathrm{ms} \pm 89.1 \mathrm{μs}\left({\color{gray}-1.835 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 3314	$$44.8 \mathrm{ms} \pm 316 \mathrm{μs}\left({\color{gray}0.985 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$15.6 \mathrm{ms} \pm 95.6 \mathrm{μs}\left({\color{gray}2.64 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 1526	$$25.3 \mathrm{ms} \pm 191 \mathrm{μs}\left({\color{gray}1.32 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 2078	$$29.9 \mathrm{ms} \pm 169 \mathrm{μs}\left({\color{gray}3.89 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.99 \mathrm{ms} \pm 21.0 \mathrm{μs}\left({\color{gray}3.91 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 1033	$$14.1 \mathrm{ms} \pm 122 \mathrm{μs}\left({\color{gray}2.33 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_medium

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 102	$$3.95 \mathrm{ms} \pm 19.9 \mathrm{μs}\left({\color{gray}1.01 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.14 \mathrm{ms} \pm 13.0 \mathrm{μs}\left({\color{gray}0.727 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 51	$$3.49 \mathrm{ms} \pm 16.2 \mathrm{μs}\left({\color{gray}0.720 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 269	$$5.43 \mathrm{ms} \pm 31.9 \mathrm{μs}\left({\color{gray}1.36 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.78 \mathrm{ms} \pm 22.8 \mathrm{μs}\left({\color{gray}1.53 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 107	$$4.36 \mathrm{ms} \pm 26.7 \mathrm{μs}\left({\color{gray}0.673 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 133	$$4.71 \mathrm{ms} \pm 40.8 \mathrm{μs}\left({\color{gray}1.82 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.58 \mathrm{ms} \pm 15.2 \mathrm{μs}\left({\color{gray}0.330 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 63	$$4.27 \mathrm{ms} \pm 26.3 \mathrm{μs}\left({\color{gray}1.40 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_none

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2	$$2.86 \mathrm{ms} \pm 13.4 \mathrm{μs}\left({\color{gray}0.040 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.80 \mathrm{ms} \pm 12.7 \mathrm{μs}\left({\color{gray}-0.224 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1	$$2.92 \mathrm{ms} \pm 12.3 \mathrm{μs}\left({\color{gray}0.412 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 8	$$3.19 \mathrm{ms} \pm 16.0 \mathrm{μs}\left({\color{gray}-0.077 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$2.99 \mathrm{ms} \pm 13.3 \mathrm{μs}\left({\color{gray}0.145 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 3	$$3.29 \mathrm{ms} \pm 16.3 \mathrm{μs}\left({\color{gray}-0.136 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_small

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 52	$$3.23 \mathrm{ms} \pm 15.4 \mathrm{μs}\left({\color{gray}0.800 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.92 \mathrm{ms} \pm 12.1 \mathrm{μs}\left({\color{gray}0.627 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 25	$$3.11 \mathrm{ms} \pm 16.6 \mathrm{μs}\left({\color{gray}0.643 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 94	$$3.73 \mathrm{ms} \pm 21.5 \mathrm{μs}\left({\color{gray}1.45 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.20 \mathrm{ms} \pm 18.2 \mathrm{μs}\left({\color{gray}0.189 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 26	$$3.44 \mathrm{ms} \pm 17.5 \mathrm{μs}\left({\color{gray}0.110 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 66	$$3.61 \mathrm{ms} \pm 15.0 \mathrm{μs}\left({\color{gray}0.394 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.19 \mathrm{ms} \pm 13.9 \mathrm{μs}\left({\color{gray}0.499 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 29	$$3.50 \mathrm{ms} \pm 17.2 \mathrm{μs}\left({\color{gray}1.06 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_complete

Function	Value	Mean	Flame graphs
entity_by_id;one_depth	1 entities	$$42.8 \mathrm{ms} \pm 216 \mathrm{μs}\left({\color{gray}2.27 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	10 entities	$$80.3 \mathrm{ms} \pm 472 \mathrm{μs}\left({\color{gray}0.838 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	25 entities	$$46.8 \mathrm{ms} \pm 241 \mathrm{μs}\left({\color{gray}-2.816 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	5 entities	$$50.4 \mathrm{ms} \pm 336 \mathrm{μs}\left({\color{gray}3.70 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	50 entities	$$58.6 \mathrm{ms} \pm 268 \mathrm{μs}\left({\color{gray}3.54 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	1 entities	$$44.0 \mathrm{ms} \pm 192 \mathrm{μs}\left({\color{gray}0.161 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	10 entities	$$427 \mathrm{ms} \pm 765 \mathrm{μs}\left({\color{gray}2.39 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	25 entities	$$101 \mathrm{ms} \pm 437 \mathrm{μs}\left({\color{gray}1.80 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	5 entities	$$88.6 \mathrm{ms} \pm 462 \mathrm{μs}\left({\color{gray}1.61 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	50 entities	$$329 \mathrm{ms} \pm 961 \mathrm{μs}\left({\color{red}9.74 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	1 entities	$$16.2 \mathrm{ms} \pm 61.2 \mathrm{μs}\left({\color{gray}-1.657 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	10 entities	$$16.1 \mathrm{ms} \pm 78.6 \mathrm{μs}\left({\color{gray}-0.761 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	25 entities	$$16.4 \mathrm{ms} \pm 78.9 \mathrm{μs}\left({\color{gray}-0.501 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	5 entities	$$15.9 \mathrm{ms} \pm 81.8 \mathrm{μs}\left({\color{gray}-1.069 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	50 entities	$$19.3 \mathrm{ms} \pm 121 \mathrm{μs}\left({\color{gray}-0.596 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_linkless

Function	Value	Mean	Flame graphs
entity_by_id	1 entities	$$16.0 \mathrm{ms} \pm 79.7 \mathrm{μs}\left({\color{gray}-1.884 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10 entities	$$15.9 \mathrm{ms} \pm 71.5 \mathrm{μs}\left({\color{gray}-0.806 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	100 entities	$$16.0 \mathrm{ms} \pm 74.7 \mathrm{μs}\left({\color{gray}-0.047 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	1000 entities	$$16.6 \mathrm{ms} \pm 85.0 \mathrm{μs}\left({\color{gray}-0.733 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10000 entities	$$24.8 \mathrm{ms} \pm 161 \mathrm{μs}\left({\color{gray}3.96 \mathrm{\%}}\right) $$	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`	$$31.3 \mathrm{ms} \pm 246 \mathrm{μs}\left({\color{gray}-2.804 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/book/v/1`	$$31.3 \mathrm{ms} \pm 286 \mathrm{μs}\left({\color{gray}-2.397 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/building/v/1`	$$31.3 \mathrm{ms} \pm 248 \mathrm{μs}\left({\color{gray}-4.782 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/organization/v/1`	$$31.4 \mathrm{ms} \pm 329 \mathrm{μs}\left({\color{gray}-4.220 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/page/v/2`	$$31.4 \mathrm{ms} \pm 264 \mathrm{μs}\left({\color{gray}-1.583 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/person/v/1`	$$30.6 \mathrm{ms} \pm 274 \mathrm{μs}\left({\color{lightgreen}-6.819 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/playlist/v/1`	$$30.3 \mathrm{ms} \pm 344 \mathrm{μs}\left({\color{lightgreen}-5.167 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/song/v/1`	$$32.9 \mathrm{ms} \pm 273 \mathrm{μs}\left({\color{gray}1.25 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/uk-address/v/1`	$$31.6 \mathrm{ms} \pm 276 \mathrm{μs}\left({\color{lightgreen}-6.171 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity_type

Function	Value	Mean	Flame graphs
get_entity_type_by_id	Account ID: `bf5a9ef5-dc3b-43cf-a291-6210c0321eba`	$$8.75 \mathrm{ms} \pm 41.5 \mathrm{μs}\left({\color{gray}-2.182 \mathrm{\%}}\right) $$	Flame Graph

representative_read_multiple_entities

Function	Value	Mean	Flame graphs
entity_by_property	traversal_paths=0	0	$$90.1 \mathrm{ms} \pm 488 \mathrm{μs}\left({\color{gray}-3.027 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$143 \mathrm{ms} \pm 590 \mathrm{μs}\left({\color{gray}-2.711 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$97.7 \mathrm{ms} \pm 537 \mathrm{μs}\left({\color{gray}-2.485 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$105 \mathrm{ms} \pm 505 \mathrm{μs}\left({\color{gray}-2.938 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$114 \mathrm{ms} \pm 504 \mathrm{μs}\left({\color{gray}-3.879 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$122 \mathrm{ms} \pm 531 \mathrm{μs}\left({\color{gray}-2.977 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=0	0	$$89.1 \mathrm{ms} \pm 386 \mathrm{μs}\left({\color{gray}-1.635 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$119 \mathrm{ms} \pm 594 \mathrm{μs}\left({\color{gray}0.652 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$96.1 \mathrm{ms} \pm 437 \mathrm{μs}\left({\color{gray}-0.337 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$105 \mathrm{ms} \pm 559 \mathrm{μs}\left({\color{gray}0.220 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$107 \mathrm{ms} \pm 464 \mathrm{μs}\left({\color{gray}-1.361 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$107 \mathrm{ms} \pm 483 \mathrm{μs}\left({\color{gray}-0.424 \mathrm{\%}}\right) $$

scenarios

Function	Value	Mean	Flame graphs
full_test	query-limited	$$131 \mathrm{ms} \pm 564 \mathrm{μs}\left({\color{gray}2.85 \mathrm{\%}}\right) $$	Flame Graph
full_test	query-unlimited	$$134 \mathrm{ms} \pm 525 \mathrm{μs}\left({\color{gray}4.94 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-limited	$$105 \mathrm{ms} \pm 469 \mathrm{μs}\left({\color{gray}-2.621 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-unlimited	$$573 \mathrm{ms} \pm 2.47 \mathrm{ms}\left({\color{lightgreen}-6.468 \mathrm{\%}}\right) $$	Flame Graph

TimDiekmann · 2026-03-12T10:13:09Z

libs/@local/hashql/eval/tests/ui/postgres/filter/binary_bitand_bigint_cast.snap

@@ -0,0 +1,7 @@
+---
+source: libs/@local/hashql/eval/src/postgres/filter/tests.rs
+expression: report.to_string()


Could we please change this expression to the actual query? Then it's far easier to review the tests.

indietyp added 2 commits March 8, 2026 16:17

feat: move hunk up

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BE-456: HashQL: Entity type model enrichment and graph store query extensions #8524

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indietyp commented Mar 8, 2026

🌟 What is the purpose of this PR?

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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

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