BE-847: atlas: store hydration and the generation runtime by indietyp · Pull Request #9711 · hashintel/hash

indietyp · 2026-09-14T13:40:55Z

🌟 What is the purpose of this PR?

Add the store boundary and the generation runtime. Hydration is the one place the serving layer asks Postgres for anything, and it sits behind resolver traits with the SQL statements pinned as snapshots, so the tree states what the process asks the store. The runtime is what makes more than one generation servable per process: a manager opens, promotes, retires and unlinks generations on a poll loop the host runs as its own task, and a registry answers a request with the present generation and the requested one together.

The module stays dead code under the lib.rs attribute until the read API consumes it (BE-815).

For review, the properties this stands on:

A request sees one coherent pair of generation and delta publication for its whole life, taken under a single read lock at admission (UniverseRegistry::observe returns an Observation).
Promotion never loses the last good publication. An opening failure or a feed that ends keeps what stood in service and retries at the poll cadence.
Admission enforces retention on its own, independent of cleanup: the registry refuses a request for an expired generation even when its directory still exists, with retention timed from the replacement's promotion.
Shutdown stops every feed before joining any, and removal never waits on a request that still holds a world.
The tree pins what the process asks Postgres: the statements are snapshots under serve/hydrate/snapshots/.

🔍 What does this change?

serve/hydrate/: GraphDatabaseClient, the LocateResolver and TypeUrlResolver traits with a cached type-URL resolver, the locate and visibility queries, the scalar and column readers, and the statement snapshots.
serve/runtime/manager/: GenerationManager with ManagerOptions and FeedOptions; open, promote, retire, unlink and shutdown on the poll loop.
serve/runtime/registry/: UniverseRegistry, Universe (a World with the Epoch captured for the request) and Observation.
serve/runtime/: Runtime, RuntimeSource and its handle, which the host holds.

❓ How to test this?

cargo nextest run -p hash-graph-atlas --all-features serve::runtime:: runs the manager and registry tests.
cargo nextest run -p hash-graph-atlas --all-features serve::hydrate:: runs the statement snapshot tests, where a changed statement shows as a snapshot diff.

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

vercel · 2026-09-14T13:40:59Z

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codecov · 2026-09-14T13:49:04Z

Codecov Report

❌ Patch coverage is 76.63477% with 293 lines in your changes missing coverage. Please review.
✅ Project coverage is 66.19%. Comparing base (658466c) to head (3ce9378).

Files with missing lines	Patch %	Lines
...ibs/@local/graph/atlas/src/serve/hydrate/client.rs	60.64%	84 Missing and 1 partial ⚠️
...@local/graph/atlas/src/serve/hydrate/statements.rs	76.96%	41 Missing ⚠️
...ibs/@local/graph/atlas/src/serve/hydrate/scalar.rs	64.89%	31 Missing and 2 partials ⚠️
...@local/graph/atlas/src/serve/hydrate/visibility.rs	65.38%	26 Missing and 1 partial ⚠️
...local/graph/atlas/src/serve/runtime/manager/mod.rs	84.02%	18 Missing and 9 partials ⚠️
...ocal/graph/atlas/src/serve/runtime/manager/slot.rs	83.33%	15 Missing and 4 partials ⚠️
...ibs/@local/graph/atlas/src/serve/hydrate/locate.rs	0.00%	18 Missing ⚠️
...cal/graph/atlas/src/serve/runtime/manager/error.rs	0.00%	9 Missing ⚠️
...al/graph/atlas/src/serve/runtime/manager/source.rs	84.31%	8 Missing ⚠️
libs/@local/graph/atlas/src/serve/runtime/mod.rs	89.47%	8 Missing ⚠️
... and 3 more

Additional details and impacted files

@@                                  Coverage Diff                                   @@
##           bm/be-846-atlas-delta-feed-placement-and-projector    #9711      +/-   ##
======================================================================================
+ Coverage                                               65.67%   66.19%   +0.52%     
======================================================================================
  Files                                                    1719     1775      +56     
  Lines                                                  181922   188651    +6729     
  Branches                                                 7501     7798     +297     
======================================================================================
+ Hits                                                   119475   124880    +5405     
- Misses                                                  61038    62275    +1237     
- Partials                                                 1409     1496      +87

Flag	Coverage Δ
apps.hash-graph	`13.62% <ø> (ø)`
rust.hash-graph-atlas	`80.86% <76.63%> (-0.09%)`	⬇️

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cursor · 2026-09-14T15:58:21Z

PR Summary

Medium Risk
Adds security-sensitive store reads (property masking, visibility policy queries) and generation admission logic that controls which world/epoch requests see; mitigated by trait boundaries, snapshot SQL tests, and extensive manager/registry tests.

Overview
Introduces the Postgres boundary for request-time graph detail and a multi-generation runtime so one process can open, promote, retain, and retire fitted generations while serving coherent publications.

Hydration (serve/hydrate/) fills locate and edges trailers from the live store: direct-type URLs, capped scalar properties, and actor-masked reads via PropertyProtectionFilter / VisibilityActor. GraphDatabaseClient implements LocateResolver and TypeUrlResolver (with optional caching), compiles reads through SelectCompiler, and runs async I/O from blocking callers via runtime.block_on. visibility_proof resolves which layout/topology rows an actor may see under merged ViewEntity policies before scene assembly. Compiled SQL is snapshot-tested (bare vs masked property subqueries).

Runtime (serve/runtime/) adds Runtime (world + DeltaReader, optional delta feed with graceful shutdown), GenerationManager (poll loop: current pointer, slot state machine, promotion, retention expiry, optional unlink), and UniverseRegistry so admission returns an Observation pairing present and requested generations under one read lock, with time-bounded access to retired generations.

Module docs in serve/mod.rs are updated to describe observation-based reads and retained-generation admission. The tree remains internal until the read API wires it in (BE-815).

^{Reviewed by Cursor Bugbot for commit 3ce9378. Bugbot is set up for automated code reviews on this repo. Configure here.}

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github-actions · 2026-09-15T15:57:35Z

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	$$25.7 \mathrm{ms} \pm 174 \mathrm{μs}\left({\color{gray}-0.364 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.43 \mathrm{ms} \pm 20.0 \mathrm{μs}\left({\color{gray}0.223 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 1002	$$12.4 \mathrm{ms} \pm 123 \mathrm{μs}\left({\color{gray}1.28 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 3314	$$42.5 \mathrm{ms} \pm 375 \mathrm{μs}\left({\color{gray}-0.780 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$14.4 \mathrm{ms} \pm 103 \mathrm{μs}\left({\color{gray}-0.005 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 1527	$$23.8 \mathrm{ms} \pm 203 \mathrm{μs}\left({\color{gray}0.104 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 2078	$$26.4 \mathrm{ms} \pm 211 \mathrm{μs}\left({\color{gray}-1.209 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.75 \mathrm{ms} \pm 25.0 \mathrm{μs}\left({\color{gray}0.779 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 1033	$$13.3 \mathrm{ms} \pm 119 \mathrm{μs}\left({\color{gray}0.183 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_medium

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 102	$$3.74 \mathrm{ms} \pm 24.2 \mathrm{μs}\left({\color{gray}0.382 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$3.05 \mathrm{ms} \pm 16.6 \mathrm{μs}\left({\color{gray}1.24 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 52	$$3.40 \mathrm{ms} \pm 20.8 \mathrm{μs}\left({\color{gray}1.76 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 269	$$5.17 \mathrm{ms} \pm 29.7 \mathrm{μs}\left({\color{gray}1.05 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.66 \mathrm{ms} \pm 31.2 \mathrm{μs}\left({\color{gray}3.03 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 108	$$4.19 \mathrm{ms} \pm 22.7 \mathrm{μs}\left({\color{gray}1.64 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 133	$$4.41 \mathrm{ms} \pm 31.5 \mathrm{μs}\left({\color{gray}0.730 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.42 \mathrm{ms} \pm 19.4 \mathrm{μs}\left({\color{gray}-0.678 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 63	$$4.17 \mathrm{ms} \pm 27.7 \mathrm{μs}\left({\color{gray}1.77 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_none

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 2	$$2.74 \mathrm{ms} \pm 15.9 \mathrm{μs}\left({\color{gray}0.574 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.68 \mathrm{ms} \pm 16.2 \mathrm{μs}\left({\color{gray}0.002 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 2	$$2.80 \mathrm{ms} \pm 13.6 \mathrm{μs}\left({\color{gray}-0.379 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 8	$$3.07 \mathrm{ms} \pm 22.1 \mathrm{μs}\left({\color{gray}1.01 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$2.85 \mathrm{ms} \pm 17.5 \mathrm{μs}\left({\color{gray}-2.233 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 3	$$3.18 \mathrm{ms} \pm 17.5 \mathrm{μs}\left({\color{gray}0.802 \mathrm{\%}}\right) $$	Flame Graph

policy_resolution_small

Function	Value	Mean	Flame graphs
resolve_policies_for_actor	user: empty, selectivity: high, policies: 52	$$3.10 \mathrm{ms} \pm 23.4 \mathrm{μs}\left({\color{gray}0.824 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: low, policies: 1	$$2.79 \mathrm{ms} \pm 15.0 \mathrm{μs}\left({\color{gray}1.50 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: empty, selectivity: medium, policies: 26	$$2.97 \mathrm{ms} \pm 22.7 \mathrm{μs}\left({\color{gray}1.34 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: high, policies: 94	$$3.47 \mathrm{ms} \pm 17.1 \mathrm{μs}\left({\color{gray}0.967 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: low, policies: 1	$$3.08 \mathrm{ms} \pm 20.5 \mathrm{μs}\left({\color{gray}0.630 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: seeded, selectivity: medium, policies: 27	$$3.31 \mathrm{ms} \pm 20.5 \mathrm{μs}\left({\color{gray}0.194 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: high, policies: 66	$$3.45 \mathrm{ms} \pm 23.3 \mathrm{μs}\left({\color{gray}1.45 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: low, policies: 1	$$3.06 \mathrm{ms} \pm 13.5 \mathrm{μs}\left({\color{gray}0.554 \mathrm{\%}}\right) $$	Flame Graph
resolve_policies_for_actor	user: system, selectivity: medium, policies: 29	$$3.36 \mathrm{ms} \pm 23.8 \mathrm{μs}\left({\color{gray}1.23 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_complete

Function	Value	Mean	Flame graphs
entity_by_id;one_depth	1 entities	$$31.3 \mathrm{ms} \pm 169 \mathrm{μs}\left({\color{gray}-0.365 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	10 entities	$$67.9 \mathrm{ms} \pm 411 \mathrm{μs}\left({\color{gray}0.911 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	25 entities	$$35.6 \mathrm{ms} \pm 259 \mathrm{μs}\left({\color{gray}3.18 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	5 entities	$$37.4 \mathrm{ms} \pm 197 \mathrm{μs}\left({\color{gray}-0.880 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;one_depth	50 entities	$$41.7 \mathrm{ms} \pm 242 \mathrm{μs}\left({\color{gray}0.291 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	1 entities	$$32.9 \mathrm{ms} \pm 162 \mathrm{μs}\left({\color{gray}-0.719 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	10 entities	$$394 \mathrm{ms} \pm 1.04 \mathrm{ms}\left({\color{gray}1.35 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	25 entities	$$90.4 \mathrm{ms} \pm 552 \mathrm{μs}\left({\color{gray}4.15 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	5 entities	$$70.0 \mathrm{ms} \pm 375 \mathrm{μs}\left({\color{gray}0.756 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;two_depth	50 entities	$$275 \mathrm{ms} \pm 946 \mathrm{μs}\left({\color{gray}3.19 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	1 entities	$$10.4 \mathrm{ms} \pm 73.6 \mathrm{μs}\left({\color{gray}2.34 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	10 entities	$$10.6 \mathrm{ms} \pm 73.9 \mathrm{μs}\left({\color{gray}3.47 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	25 entities	$$10.6 \mathrm{ms} \pm 61.5 \mathrm{μs}\left({\color{gray}0.924 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	5 entities	$$10.5 \mathrm{ms} \pm 60.1 \mathrm{μs}\left({\color{gray}2.42 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id;zero_depth	50 entities	$$10.5 \mathrm{ms} \pm 59.9 \mathrm{μs}\left({\color{gray}2.00 \mathrm{\%}}\right) $$	Flame Graph

read_scaling_linkless

Function	Value	Mean	Flame graphs
entity_by_id	1 entities	$$10.5 \mathrm{ms} \pm 74.0 \mathrm{μs}\left({\color{gray}3.83 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10 entities	$$10.2 \mathrm{ms} \pm 72.4 \mathrm{μs}\left({\color{gray}0.289 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	100 entities	$$10.3 \mathrm{ms} \pm 66.0 \mathrm{μs}\left({\color{gray}0.027 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	1000 entities	$$10.5 \mathrm{ms} \pm 99.0 \mathrm{μs}\left({\color{gray}3.41 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	10000 entities	$$10.8 \mathrm{ms} \pm 71.2 \mathrm{μs}\left({\color{gray}1.85 \mathrm{\%}}\right) $$	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`	$$10.7 \mathrm{ms} \pm 59.1 \mathrm{μs}\left({\color{gray}1.88 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/book/v/1`	$$11.0 \mathrm{ms} \pm 109 \mathrm{μs}\left({\color{gray}3.07 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/building/v/1`	$$10.6 \mathrm{ms} \pm 68.9 \mathrm{μs}\left({\color{gray}0.929 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/organization/v/1`	$$10.7 \mathrm{ms} \pm 66.8 \mathrm{μs}\left({\color{gray}2.39 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/page/v/2`	$$10.6 \mathrm{ms} \pm 60.8 \mathrm{μs}\left({\color{gray}0.158 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/person/v/1`	$$11.0 \mathrm{ms} \pm 105 \mathrm{μs}\left({\color{gray}3.48 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/playlist/v/1`	$$10.7 \mathrm{ms} \pm 84.0 \mathrm{μs}\left({\color{gray}1.98 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/song/v/1`	$$10.6 \mathrm{ms} \pm 57.1 \mathrm{μs}\left({\color{gray}-1.082 \mathrm{\%}}\right) $$	Flame Graph
entity_by_id	entity type ID: `https://blockprotocol.org/@alice/types/entity-type/uk-address/v/1`	$$10.7 \mathrm{ms} \pm 56.4 \mathrm{μs}\left({\color{gray}1.10 \mathrm{\%}}\right) $$	Flame Graph

representative_read_entity_type

Function	Value	Mean	Flame graphs
get_entity_type_by_id	Account ID: `bf5a9ef5-dc3b-43cf-a291-6210c0321eba`	$$7.89 \mathrm{ms} \pm 50.6 \mathrm{μs}\left({\color{gray}0.956 \mathrm{\%}}\right) $$	Flame Graph

representative_read_multiple_entities

Function	Value	Mean	Flame graphs
entity_by_property	traversal_paths=0	0	$$55.5 \mathrm{ms} \pm 465 \mathrm{μs}\left({\color{gray}-0.381 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$107 \mathrm{ms} \pm 579 \mathrm{μs}\left({\color{gray}1.36 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$62.6 \mathrm{ms} \pm 382 \mathrm{μs}\left({\color{gray}1.22 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$71.7 \mathrm{ms} \pm 507 \mathrm{μs}\left({\color{gray}2.36 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$80.8 \mathrm{ms} \pm 457 \mathrm{μs}\left({\color{gray}2.26 \mathrm{\%}}\right) $$
entity_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$87.1 \mathrm{ms} \pm 547 \mathrm{μs}\left({\color{gray}1.51 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=0	0	$$45.4 \mathrm{ms} \pm 396 \mathrm{μs}\left({\color{gray}2.38 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=255	1,resolve_depths=inherit:1;values:255;properties:255;links:127;link_dests:126;type:true	$$71.1 \mathrm{ms} \pm 431 \mathrm{μs}\left({\color{gray}0.035 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:0;link_dests:0;type:false	$$51.6 \mathrm{ms} \pm 403 \mathrm{μs}\left({\color{gray}2.28 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:0;links:1;link_dests:0;type:true	$$60.7 \mathrm{ms} \pm 440 \mathrm{μs}\left({\color{gray}3.40 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:0;properties:2;links:1;link_dests:0;type:true	$$61.8 \mathrm{ms} \pm 458 \mathrm{μs}\left({\color{gray}0.905 \mathrm{\%}}\right) $$
link_by_source_by_property	traversal_paths=2	1,resolve_depths=inherit:0;values:2;properties:2;links:1;link_dests:0;type:true	$$61.1 \mathrm{ms} \pm 538 \mathrm{μs}\left({\color{gray}-0.897 \mathrm{\%}}\right) $$

scenarios

Function	Value	Mean	Flame graphs
full_test	query-limited	$$118 \mathrm{ms} \pm 554 \mathrm{μs}\left({\color{gray}2.74 \mathrm{\%}}\right) $$	Flame Graph
full_test	query-unlimited	$$130 \mathrm{ms} \pm 532 \mathrm{μs}\left({\color{gray}4.27 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-limited	$$18.2 \mathrm{ms} \pm 251 \mathrm{μs}\left({\color{lightgreen}-20.002 \mathrm{\%}}\right) $$	Flame Graph
linked_queries	query-unlimited	$$521 \mathrm{ms} \pm 1.02 \mathrm{ms}\left({\color{gray}2.75 \mathrm{\%}}\right) $$	Flame Graph

libs/@local/graph/atlas/src/serve/hydrate/client.rs: Move repeated trait-method docs to the struct, clarify execution model and panic conditions. libs/@local/graph/atlas/src/serve/hydrate/locate.rs: Clarify error handling semantics—partial population and reset requirements.

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indietyp changed the title ~~feat: add atlas store hydration and the generation runtime~~ BE-847: atlas: store hydration and the generation runtime Sep 14, 2026

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indietyp added 3 commits September 16, 2026 15:45

feat: add atlas store hydration and the generation runtime

ef6d04b

chore: remove empty ontology hydration file

bc30e71

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TimDiekmann approved these changes Sep 16, 2026

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indietyp commented Sep 14, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

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🌟 What is the purpose of this PR?

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github-actions Bot commented Sep 15, 2026

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