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feat: Version-pinning for FeatureService (online + offline) - #6718

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ntkathole merged 11 commits into
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HSarwat:feat/feature-service-version-pinning
Sep 16, 2026
Merged

ntkathole merged 11 commits into
feast-dev:masterfrom
HSarwat:feat/feature-service-version-pinning

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@HSarwat

@HSarwat HSarwat commented Aug 9, 2026

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Closes #6717.
Related to #6389 (feature versioning in offline retrieval).

What

Lets a FeatureService pin a specific historical FeatureView / OnDemandFeatureView version, honored by both get_online_features and get_historical_features. Feast's docs currently list this as a known limitation ("Feature services always resolve to the active (promoted) version"); this closes that gap.

Commits

  1. fix: Pin FeatureView version in FeatureService projections — stamp projection.version_tag from the source view's version in FeatureService.__init__; read projection.version_tag (instead of None) in utils._get_feature_views_to_use. version="latest" is unaffected.
  2. feat: Support string feature references in FeatureService — features accepts "<fv>[@<version>][:<feature>]" strings, resolved once in FeatureStore.apply via FeatureService.resolve_pending_refs. Factors _parse_feature_or_view_ref out of _parse_feature_ref (optional :feature).
  3. fix: Resolve version-pinned OnDemandFeatureViews in offline retrieval — shared utils._get_requested_on_demand_feature_views used by all three unversioned ODFV call sites; pinned ODFV refs now resolve to the pinned snapshot offline. This is the offline-retrieval versioning gap tracked in Proposal: Version-qualified feature refs in get_historical_features (offline store versioning) #6389.
  4. docs: Document FeatureService version pinning — alpha versioning page + enable_online_feature_view_versioning docstring clarified to note it gates offline too; Known Limitations updated.

Problem

Building a service from a version-pinned FeatureView silently falls back to the promoted version:

fv  = FeatureView(name="driver_stats", version="v2", ...)
svc = FeatureService(name="model_v1", features=[fv[["conv_rate"]]])
svc.feature_view_projections[0].version_tag    # -> None   (should be 2)
svc.feature_view_projections[0].name_to_use()  # -> "driver_stats"  (should be "driver_stats@v2")

Two bugs cause this: FeatureService.__init__ never translates the view's version string into projection.version_tag, and utils._get_feature_views_to_use hard-codes the version as None for the FeatureService branch. A related pre-existing bug (#6389) breaks offline retrieval of version-pinned OnDemandFeatureViews: offline stores re-fetch ODFVs via an unversioned registry.list_on_demand_feature_views, so a pinned ODFV ref raises ValueError: Could not find feature view from reference ... or silently drops features across every offline backend.

Design notes for reviewers

  • Priority ordering (commit 2): a pinned string ref always resolves from registry.get_feature_view_by_version, never from fvs_to_update (the apply batch only ever holds "latest" objects and would substitute the wrong schema). Covered by test_pinned_ref_ignores_fvs_to_update.
  • Backward compatible: unversioned refs / version="latest" behave exactly as before; every existing (unversioned) FeatureService is unaffected.
  • Flag name: enable_online_feature_view_versioning is misleadingly scoped to "online" — it gates both paths. Clarified in the docstring/docs here rather than renamed (rename would be a breaking config change; happy to follow up if maintainers prefer).

Tests

New unit tests: test_feature_service_versioning.py (object + string-ref pinning, proto round-trip, backward compat, error guards, priority ordering) and test_odfv_offline_versioning.py (version-aware ODFV resolution, v0 fallback, non-ODFV skip, dedup). All pass; ruff (0.16.0) + mypy clean on changed files.

@HSarwat
HSarwat requested review from a team as code owners August 9, 2026 20:51
@HSarwat
HSarwat requested review from ejscribner, robhowley and tokoko and removed request for a team August 9, 2026 20:51
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codecov-commenter commented Aug 10, 2026 •

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⚠️ Please install the 'codecov app svg image' to ensure uploads and comments are reliably processed by Codecov.

Codecov Report

❌ Patch coverage is 87.75510% with 12 lines in your changes missing coverage. Please review.
✅ Project coverage is 47.18%. Comparing base (922db5c) to head (fd9959d).

Files with missing lines Patch % Lines
sdk/python/feast/feature_service.py 87.23% 2 Missing and 4 partials ⚠️
sdk/python/feast/utils.py 86.66% 2 Missing and 4 partials ⚠️
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@@            Coverage Diff             @@
##           master    #6718      +/-   ##
==========================================
+ Coverage   47.11%   47.18%   +0.06%     
==========================================
  Files         419      419              
  Lines       51886    51964      +78     
  Branches     7528     7548      +20     
==========================================
+ Hits        24448    24521      +73     
- Misses      25688    25689       +1     
- Partials     1750     1754       +4     
Flag Coverage Δ
go-feature-server 30.58% <ø> (ø)
python-unit 48.50% <87.75%> (+0.07%) ⬆️
Files with missing lines Coverage Δ
sdk/python/feast/feature_store.py 43.51% <100.00%> (+0.06%) ⬆️
sdk/python/feast/infra/offline_stores/dask.py 52.38% <ø> (ø)
...python/feast/infra/offline_stores/offline_utils.py 67.52% <100.00%> (ø)
sdk/python/feast/on_demand_feature_view.py 71.27% <100.00%> (-0.31%) ⬇️
sdk/python/feast/repo_config.py 79.03% <100.00%> (ø)
sdk/python/feast/feature_service.py 83.50% <87.23%> (+1.22%) ⬆️
sdk/python/feast/utils.py 78.38% <86.66%> (+0.50%) ⬆️

... and 2 files with indirect coverage changes


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@ntkathole

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@HSarwat Please fix CI

@HSarwat
HSarwat force-pushed the feat/feature-service-version-pinning branch from bc41ab7 to 6083f35 Compare August 12, 2026 04:11
@HSarwat

HSarwat commented Aug 12, 2026 •

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@ntkathole This PR doesnt introduce any dependency change, yet the CI is failing because it cant resolve greenlet 3.5.5 . I am not really sure where the error is coming from.

Rebased my PR with the latest changed from main in case this error was resolved in a later commit and to trigger the CI again

@ntkathole
ntkathole force-pushed the feat/feature-service-version-pinning branch from 6083f35 to 573931b Compare August 14, 2026 05:14

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String refs introduce an unresolved lifecycle state that retrieval and serialization do not handle. A freshly constructed FeatureService(name="svc", features=["driver_stats@v2:conv_rate"]) has no projections until apply/plan. Passing that object directly to get_online_features or get_historical_features is a supported Feast pattern, but _get_features() consults the registered service while _get_feature_views_to_use() consumes the unresolved passed object, producing inconsistent resolution; to_proto() before apply also silently serializes an empty service.

Please either resolve the passed service from the registry in all retrieval paths, or reject unresolved services with a clear error. Add an integration-style test that reconstructs the string-based FeatureService in a fresh process after apply and passes that object to both online and historical retrieval.

@HSarwat

HSarwat commented Aug 16, 2026

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@HaoXuAI

I resolved the passed FeatureService from the registry in _get_feature_views_to_use when it has unresolved string refs, so it matches what _get_features already does and both retrieval paths agree instead of one seeing empty projections.

Also added an integration test in test_versioning.py that reconstructs the string-ref service in a fresh store after apply and passes it to both online and historical retrieval.

@haoxu0
haoxu0 self-requested a review August 16, 2026 22:17

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LGTM

@ntkathole ntkathole left a comment

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Thanks for the follow-up on the unresolved string-ref retrieval path — that looks correct.

A few remaining issues that I think should land before merge:

  1. Object-based pinning mutates the source FeatureView's projection (string-ref path already copies).
  2. Recommended string refs cannot resolve an ODFV created in the same apply (fvs_to_update_map only includes odfvs_to_write).
  3. prepare_for_apply / to_proto() still treat an unresolved string-ref service as a valid empty service (all([]) is True).

Inline comments have details. Would also like one integration test that actually pins v0 vs a later v1 and asserts retrieval, not only the unversioned reconstructed-service path.

if projection.version_tag is None and fv_version:
is_latest, version_num = parse_version(fv_version)
if not is_latest:
projection.version_tag = version_num

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This mutates the source FeatureView's own projection. FeatureView(version="v2") does not set projection.version_tag itself, so after FeatureService(features=[fv]) the caller's fv.projection.version_tag becomes 2.

Online table naming (compute_versioned_name) reads that field, so a later materialize/get on the same object can unexpectedly hit *_v2. The string-ref path already copy.copys for this reason — please copy here too before stamping version_tag.

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Copied

for feature_service in feature_services_to_update:
# Resolve string feature refs (e.g. "driver_stats@v2") before
# inference. No-op for object-only services.
feature_service.resolve_pending_refs(

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fvs_to_update_map only includes odfvs_to_write (write_to_online_store=True). A normal ODFV is absent, and _make_inferences runs before apply_feature_view, so the registry lookup fails too.

The docs recommend string refs, but this fails:

odfv = on_demand_feature_view(...)(src_fv)
svc = FeatureService(name="svc", features=["my_odfv"])
store.apply([src_fv, odfv, svc])  # FeatureViewNotFound

Object form features=[odfv] still works. Please pass odfvs_to_update (not just odfvs_to_write) into resolve_pending_refs.

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Built a second map, fvs_to_resolve_map, that includes the full odfvs_to_update list (all ODFVs in the apply, write-enabled or not), and passed that to resolve_pending_refs. I left infer_features on the original fvs_to_update_map so inference/online-write behavior is untouched.

) -> None:
"""Resolve string feature refs (see ``__init__``) into projections.

Called automatically by ``FeatureStore.apply``/``plan`` so the pin is

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Docstring says apply/plan resolve these refs, but prepare_for_apply does not call resolve_pending_refs, and its early return is if self._features and all(p.features for p in self.feature_view_projections).

all([]) is True, so a service with only string refs and empty projections returns immediately. to_proto() then serializes zero features.

FeatureStore.apply happens to call this first, so the happy path is OK. Direct registry.apply_feature_service(...) or any proto round-trip before apply will persist an empty service with no error.

Please reject (or resolve) unresolved _pending_feature_refs in prepare_for_apply and to_proto().

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Resolved during prepare_for_apply, raised error for to_proto

@HSarwat

HSarwat commented Aug 19, 2026

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@ntkathole Made 4 new commits, each for the three changes you requested + the integration test.

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ntkathole commented Aug 20, 2026 •

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@HSarwat Please sign the commit and handle the CI failure, the object-path copy introduced a regression for schema-less FeatureViews used as a feature subset in a FeatureService

@HSarwat

HSarwat commented Aug 20, 2026

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@ntkathole Can you check the CI now? I ran the unit and integration tests, at least the ones that I could, locally, and should be working

@HSarwat
HSarwat force-pushed the feat/feature-service-version-pinning branch 2 times, most recently from 1ce3a6d to d252f8a Compare August 22, 2026 10:25
@HSarwat
HSarwat force-pushed the feat/feature-service-version-pinning branch from b5b36f7 to f9db482 Compare August 31, 2026 17:04
@HSarwat

HSarwat commented Aug 31, 2026

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@ntkathole I've signed off on the commits, fixed branch history to be rebased with main, tested latest changes from main locally, both unit and integration, and everything passed. Can you do one final check, and if everything is working we can merge this PR

A FeatureService built from a version-pinned FeatureView (e.g.
FeatureView(version="v2")) silently served the promoted version instead
of the pinned one, defeating the guarantee a FeatureService is meant to
provide. Two bugs caused this:

1. FeatureService.__init__ appended the source view's projection without
   translating its `version` string into `projection.version_tag` (the
   field name_to_use() checks to render "fv@v2").
2. utils._get_feature_views_to_use hard-coded the version as None for the
   FeatureService branch, so retrieval always fell through to the
   promoted snapshot.

Stamp version_tag from the source view's version in __init__, and read
projection.version_tag (instead of None) during retrieval. The default
version ("latest") leaves version_tag as None, so every existing
unversioned FeatureService is unaffected. Covers both online and offline
retrieval, which share _get_feature_views_to_use.

Signed-off-by: h-sarwat <hussein_sarwat@yahoo.com>
FeatureService.features now accepts string refs using the same
'<feature_view>[@<version>][:<feature>]' syntax as
get_historical_features/get_online_features, e.g. "driver_stats@v2" or
"driver_stats@v2:trips_today". This lets a service pin a historical
FeatureView version without importing or reconstructing the underlying
object.

String entries are stashed at construction (no registry is available
then) and resolved once, in FeatureStore.apply/plan, via a new
FeatureService.resolve_pending_refs. A pinned ref always resolves from
the registry snapshot for that version; an unversioned ref prefers the
apply batch, then the promoted version. utils._parse_feature_ref is
refactored onto a new _parse_feature_or_view_ref that makes the
':<feature>' suffix optional (whole-view refs); _parse_feature_ref is
unchanged for existing callers.

Signed-off-by: h-sarwat <hussein_sarwat@yahoo.com>
Offline stores re-fetch OnDemandFeatureViews from the registry
independently of the version-aware online path, using an unversioned
registry.list_on_demand_feature_views. A version-pinned ODFV (e.g. from
a FeatureService pinning a specific ODFV version) therefore either raised
"Could not find feature view from reference odfv@v1:feat" or silently
served the promoted version during get_historical_features.

Add a shared utils._get_requested_on_demand_feature_views that resolves
each ref version-aware — pinned refs via get_feature_view_by_version
(stamping projection.version_tag so name_to_use() matches downstream),
unversioned refs via the promoted list as before. Route the three
unversioned call sites through it: OnDemandFeatureView.get_requested_odfvs,
offline_utils.get_feature_view_query_context, and dask.py's inline
duplicate. This covers every offline backend, which all funnel through
one of those. Unversioned refs are unchanged.

Signed-off-by: h-sarwat <hussein_sarwat@yahoo.com>
Document pinning a historical feature view version inside a
FeatureService, via both string feature refs
("driver_stats@v2:trips_today") and version-pinned FeatureView objects,
on the alpha feature-view-versioning page. Clarify that
enable_online_feature_view_versioning gates both online and offline
versioned resolution (they share one code path), both in the page and in
the RegistryConfig field docstring. Update Known Limitations: offline
version-qualified retrieval and version-pinned feature services are now
supported.

Signed-off-by: h-sarwat <hussein_sarwat@yahoo.com>
Signed-off-by: h-sarwat <hussein_sarwat@yahoo.com>
Signed-off-by: h-sarwat <hussein_sarwat@yahoo.com>
Signed-off-by: h-sarwat <hussein_sarwat@yahoo.com>
Signed-off-by: h-sarwat <hussein_sarwat@yahoo.com>
Signed-off-by: h-sarwat <hussein_sarwat@yahoo.com>
Signed-off-by: h-sarwat <hussein_sarwat@yahoo.com>
infer_features mutated feature_grouping.projection, but __init__ now stores
a decoupled copy in feature_view_projections (the serialized object). This
broke schema-less FeatureViews used as a feature subset in a FeatureService.
Mutate the stored projection instead.

Signed-off-by: h-sarwat <hussein_sarwat@yahoo.com>
@ntkathole
ntkathole force-pushed the feat/feature-service-version-pinning branch from f9db482 to fd9959d Compare September 16, 2026 09:09
@ntkathole
ntkathole merged commit 787845a into feast-dev:master Sep 16, 2026
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ntkathole pushed a commit that referenced this pull request Oct 13, 2026
# [0.67.0](v0.66.0...v0.67.0) (2026-10-13)

### Bug Fixes

* Allow dill 0.4 so UDF serialization works on Python 3.14 ([#6858](#6858)) ([139704f](139704f))
* Allow serving features while a feature view is MATERIALIZING ([#6789](#6789)) ([e2d7fe2](e2d7fe2)), closes [#6780](#6780)
* Allowlist the pinned commit SHA flagged by detect-secrets ([4b81d18](4b81d18))
* Apply point-in-time filter correctly with the Polars backend ([#6992](#6992)) ([01224d0](01224d0))
* Authorize registry server writes before deserializing UDFs ([e0ef16e](e0ef16e))
* Automate versioned documentation publication ([#6763](#6763)) ([5ad5592](5ad5592)), closes [#6762](#6762)
* Avoid NumPy generic-unit deprecation when importing feast.type_map ([5fea698](5fea698))
* Bind metrics, REST registry, ui, and lineage servers dual-stack ([#6886](#6886)) ([8d2773c](8d2773c))
* Bound Arrow Flight batch size in the offline server ([#6896](#6896)) ([d169238](d169238))
* Compute std and var correctly for tiled aggregations ([213a130](213a130))
* Convert PdfBytes values to protos like ImageBytes ([#6968](#6968)) ([af20fe4](af20fe4))
* Decode fixed_size_list as the matching Feast list value type ([#6944](#6944)) ([8cfe891](8cfe891))
* Do not log /metrics requests from the pre-fork metrics server thread ([7087f1f](7087f1f)), closes [#6928](#6928)
* Don't return from finally blocks in REST registry helpers ([d7cb4d0](d7cb4d0))
* Encode non-finite floats in feature server JSON responses ([#6930](#6930)) ([211ecb8](211ecb8))
* Feature freshness logic updated ([#6765](#6765)) ([f0bc070](f0bc070))
* Fix monitoring auth ([015cc84](015cc84))
* Handle non-nanosecond timestamps in tiled aggregations ([b8989cb](b8989cb))
* Improve feature list column sizing ([#6793](#6793)) ([2573693](2573693))
* Include vector attributes in Field equality ([#6934](#6934)) ([298c3f6](298c3f6))
* Increase feast container probe timeouts to avoid false restarts ([e8dbd50](e8dbd50))
* Infer the tensor type from retrieved values in to_tensor ([a03e323](a03e323))
* Infer timestamps for datetime columns in any unit or timezone ([810391f](810391f))
* Infer vector width when vector_length is undeclared ([0056565](0056565)), closes [#6907](#6907)
* Initialize auth managers in standalone lineage server ([#6873](#6873)) ([ecd0d38](ecd0d38))
* Keep a zero watermark delay threshold on a Kafka source ([e2e28c7](e2e28c7))
* Keep entity rows apart in the ibis point-in-time join ([a87c070](a87c070))
* Keep the BatchFeatureView type and settings when copying it ([#6989](#6989)) ([013fc57](013fc57))
* Keep tiling, offline and stream engine settings when copying a StreamFeatureView ([fac0f88](fac0f88))
* Limit tiled max and min aggregations to the window ([2583c45](2583c45))
* Load Milvus collections once instead of on every query ([#6882](#6882)) ([f9e91fa](f9e91fa))
* Make vector length validation reachable, schema-driven and vectorized ([#6909](#6909)) ([29af8c0](29af8c0)), closes [#6907](#6907)
* Map INT32_LIST, PDF_BYTES and IMAGE_BYTES type names to their ValueType ([8c1e825](8c1e825))
* Map narrow and unsigned Arrow integer types to Feast value types ([#6960](#6960)) ([ae74360](ae74360))
* Map Spark smallint and tinyint columns to INT32 ([9d42729](9d42729))
* Map SQL Server bigint to INT64 and float to DOUBLE ([6d15533](6d15533))
* Map Trino DECIMAL columns to pyarrow decimal128 ([155bc24](155bc24))
* Normalize Arrow-backed dtypes from Ray Dataset.to_pandas() for pyarrow >=25 compatibility ([#6916](#6916)) ([374f1d7](374f1d7))
* **operator:** Set grpc appProtocol on the offline Service port ([f9dcfb5](f9dcfb5))
* Pin expected tensor to same device in online retrieval test ([#6777](#6777)) ([1f2584d](1f2584d))
* Preserve an unset aggregation time window across a proto round-trip ([2000379](2000379))
* Preserve entity row order in precomputed reads ([ce37029](ce37029))
* Pull the MinIO test image from pgsty/minio ([fe27230](fe27230))
* Pull the MinIO test image from quay ([#6838](#6838)) ([367001b](367001b))
* Raise Trino monitoring query errors other than a missing table ([6161766](6161766))
* Read Kafka and Kinesis sources without a batch source from proto ([a620f5c](a620f5c))
* Read naive datetimes as UTC in UnixTimestamp values ([bc703d9](bc703d9))
* Record which storage class wrote a custom_storage payload ([#6988](#6988)) ([c0545f7](c0545f7))
* Refresh the SQL registry cache after deleting a data source ([66c55e3](66c55e3))
* Refresh the SQL registry cache after deleting a permission ([6b212f5](6b212f5))
* Reject unknown resource types and actions in the REST permission API ([a5eaa36](a5eaa36))
* Remove pip install command from Redis GLIDE docstring ([66ff990](66ff990))
* Remove runtime pip install hints from mlflow errors ([dd9f099](dd9f099))
* Remove unsupported vector_len from PostgreSQL tutorial config ([fcc9a85](fcc9a85))
* Repair Chronon operator validation and Pixi CI setup ([#6947](#6947)) ([3710f78](3710f78))
* Report Dask monitoring read errors instead of no data ([81673d9](81673d9))
* Resolve feature view batch source name against registry ([f8883d0](f8883d0))
* Restrict UI server CORS to trusted origins ([#6986](#6986)) ([5e7ef3e](5e7ef3e))
* Return feature_view_metadata from the REST feature server ([#6927](#6927)) ([bc5aeef](bc5aeef))
* Serve aliased on demand feature views in feature services ([823b92e](823b92e))
* Snapshot tag filters in registry cache keys ([81e1546](81e1546))
* Stabilize materialization checks across hour boundaries ([#6948](#6948)) ([acadb17](acadb17))
* Stop the Couchbase online store reporting failed writes as written ([b3f3c98](b3f3c98))
* Support SQL registry dump ([b60f9c7](b60f9c7))
* Treat datetimes with a None utcoffset as naive ([687bee8](687bee8))
* Unwrap SecretStr tokens when building Trino auth objects ([#6771](#6771)) ([922db5c](922db5c))
* Use a valid ShuffleStrategy for the Ray DatasetContext ([6259f5c](6259f5c))
* Use do_exchange for offline server reads to support HPA ([bae07fc](bae07fc))
* Use group_by in Polars backend aggregation ([#6965](#6965)) ([7b9fad2](7b9fad2))
* Use upstream kubectl image as feast-operator CronJob default ([d6cc1dc](d6cc1dc))
* Use UTC end bound and correct docs for disable_event_timestamp ([#6956](#6956)) ([cc07c82](cc07c82)), closes [#6936](#6936)

### Features

* Add a non-JVM read path for Lance data sources ([#6943](#6943)) ([e2a53bb](e2a53bb)), closes [#6925](#6925) [#5782](#5782) [#6909](#6909)
* Add a non-JVM write path for Lance data sources ([#6945](#6945)) ([f754323](f754323)), closes [#6943](#6943) [#6909](#6909)
* Add Chronon online and offline store integrations ([#6188](#6188)) ([dd059c6](dd059c6))
* Add consistency_level to the Milvus online store config ([97296c1](97296c1))
* Add dualStack server option to the Feast operator ([#6887](#6887)) ([725a147](725a147)), closes [#6977](#6977)
* Add Lance optional dependencies ([#6958](#6958)) ([20bc993](20bc993))
* Add LanceFormat table format with version/tag pinning ([1196e22](1196e22)), closes [#5650](#5650)
* Add MLflow as a first-class offline DataSource for Feast ([#6702](#6702)) ([3667772](3667772))
* Add optional GLIDE client for Redis online reads ([#6870](#6870)) ([6e9a532](6e9a532))
* Add quality monitoring features for Trino offline store ([#6779](#6779)) ([9340545](9340545))
* Add SavedDatasetLanceStorage ([1118d3e](1118d3e))
* Add standalone MCP server as a first-class component ([0efab5c](0efab5c)), closes [python-keycloak#623](https://github.com/python-keycloak/issues/623)
* Add structured audit logging for MCP feature server ([#6456](#6456)) ([640ac70](640ac70))
* Add Trino compute engine for batch retrieval and materialization ([#6898](#6898)) ([11a47b4](11a47b4))
* Batch Postgres online reads across feature views ([#6832](#6832)) ([514bee7](514bee7)), closes [#3259](#3259)
* **bigtable:** Make write batch size and concurrency configurable ([#6847](#6847)) ([5388522](5388522))
* Bucket feature count labels in latency metrics ([#6811](#6811)) ([d9ea120](d9ea120))
* Expose runtime version in Feast UI ([#6843](#6843)) ([fa8f06b](fa8f06b))
* Make Milvus index and search params configurable ([ef743ff](ef743ff))
* Offline write batch for IcebergSource ([5be5ed0](5be5ed0))
* OpenLineage consumer improvements - dataset versioning, column lineage, ownership ([69f294e](69f294e))
* **operator:** Add tolerations and nodeSelector to the FeatureStore CR ([#6741](#6741)) ([03dac6f](03dac6f))
* Serve the MCP server dual-stack on --host :: ([4fc9726](4fc9726))
* Support Milvus partition keys in the Milvus online store ([0ed3285](0ed3285))
* Support token, uri and db_name in the Milvus online store ([c5efecd](c5efecd))
* Version-pinning for FeatureService (online + offline) ([#6718](#6718)) ([787845a](787845a))

### Performance Improvements

* Avoid pandas copy in Spark reads ([#6878](#6878)) ([4771156](4771156))
* Decouple metrics HTTP server into a dedicated child process ([#6855](#6855)) ([0b621de](0b621de))
* Reduce online serving hot-path overhead from metrics and audit logging ([5ee7ee3](5ee7ee3))
ntkathole added a commit to opendatahub-io/feast that referenced this pull request Oct 14, 2026
* fix: Increase feast container probe timeouts to avoid false restarts

Signed-off-by: Srihari <svenkata@redhat.com>

* chore: Remove unused hermeto offline tree and sdist requirement locks (feast-dev#6987)

* chore: Remove unused multicloud hermeto offline build tree

Drop sdk/python/feast/infra/feature_servers/multicloud/offline/, which only
supported local hermeto/arrow-from-source and RPM lock offline image builds
and is unused by Makefile CI, GitHub Actions, or the standard feature-server
Dockerfiles. Also clear related .secrets.baseline entries.

Signed-off-by: ntkathole <nikhilkathole2683@gmail.com>
Co-authored-by: Cursor <cursoragent@cursor.com>

* chore: Drop unused minimal-sdist requirement locks

Remove py3.10–3.12 minimal-sdist(-build) lockfiles, stop generating them
in lock-python-dependencies-all, and delete the minimal-sdist-build extra.
They only supported hermeto build-from-sdist offline image builds.

Signed-off-by: ntkathole <nikhilkathole2683@gmail.com>
Co-authored-by: Cursor <cursoragent@cursor.com>

* chore: Refresh pixi.lock after removing minimal-sdist-build

Keep pixi install --locked in sync with the pyproject.toml optional
dependency change so ray/duckdb CI environments can install.

Signed-off-by: ntkathole <nikhilkathole2683@gmail.com>
Co-authored-by: Cursor <cursoragent@cursor.com>

---------

Signed-off-by: ntkathole <nikhilkathole2683@gmail.com>
Co-authored-by: Cursor <cursoragent@cursor.com>

* chore(release): release 0.67.0

# [0.67.0](feast-dev/feast@v0.66.0...v0.67.0) (2026-10-13)

### Bug Fixes

* Allow dill 0.4 so UDF serialization works on Python 3.14 ([feast-dev#6858](feast-dev#6858)) ([139704f](feast-dev@139704f))
* Allow serving features while a feature view is MATERIALIZING ([feast-dev#6789](feast-dev#6789)) ([e2d7fe2](feast-dev@e2d7fe2)), closes [feast-dev#6780](feast-dev#6780)
* Allowlist the pinned commit SHA flagged by detect-secrets ([4b81d18](feast-dev@4b81d18))
* Apply point-in-time filter correctly with the Polars backend ([feast-dev#6992](feast-dev#6992)) ([01224d0](feast-dev@01224d0))
* Authorize registry server writes before deserializing UDFs ([e0ef16e](feast-dev@e0ef16e))
* Automate versioned documentation publication ([feast-dev#6763](feast-dev#6763)) ([5ad5592](feast-dev@5ad5592)), closes [feast-dev#6762](feast-dev#6762)
* Avoid NumPy generic-unit deprecation when importing feast.type_map ([5fea698](feast-dev@5fea698))
* Bind metrics, REST registry, ui, and lineage servers dual-stack ([feast-dev#6886](feast-dev#6886)) ([8d2773c](feast-dev@8d2773c))
* Bound Arrow Flight batch size in the offline server ([feast-dev#6896](feast-dev#6896)) ([d169238](feast-dev@d169238))
* Compute std and var correctly for tiled aggregations ([213a130](feast-dev@213a130))
* Convert PdfBytes values to protos like ImageBytes ([feast-dev#6968](feast-dev#6968)) ([af20fe4](feast-dev@af20fe4))
* Decode fixed_size_list as the matching Feast list value type ([feast-dev#6944](feast-dev#6944)) ([8cfe891](feast-dev@8cfe891))
* Do not log /metrics requests from the pre-fork metrics server thread ([7087f1f](feast-dev@7087f1f)), closes [feast-dev#6928](feast-dev#6928)
* Don't return from finally blocks in REST registry helpers ([d7cb4d0](feast-dev@d7cb4d0))
* Encode non-finite floats in feature server JSON responses ([feast-dev#6930](feast-dev#6930)) ([211ecb8](feast-dev@211ecb8))
* Feature freshness logic updated ([feast-dev#6765](feast-dev#6765)) ([f0bc070](feast-dev@f0bc070))
* Fix monitoring auth ([015cc84](feast-dev@015cc84))
* Handle non-nanosecond timestamps in tiled aggregations ([b8989cb](feast-dev@b8989cb))
* Improve feature list column sizing ([feast-dev#6793](feast-dev#6793)) ([2573693](feast-dev@2573693))
* Include vector attributes in Field equality ([feast-dev#6934](feast-dev#6934)) ([298c3f6](feast-dev@298c3f6))
* Increase feast container probe timeouts to avoid false restarts ([e8dbd50](feast-dev@e8dbd50))
* Infer the tensor type from retrieved values in to_tensor ([a03e323](feast-dev@a03e323))
* Infer timestamps for datetime columns in any unit or timezone ([810391f](feast-dev@810391f))
* Infer vector width when vector_length is undeclared ([0056565](feast-dev@0056565)), closes [feast-dev#6907](feast-dev#6907)
* Initialize auth managers in standalone lineage server ([feast-dev#6873](feast-dev#6873)) ([ecd0d38](feast-dev@ecd0d38))
* Keep a zero watermark delay threshold on a Kafka source ([e2e28c7](feast-dev@e2e28c7))
* Keep entity rows apart in the ibis point-in-time join ([a87c070](feast-dev@a87c070))
* Keep the BatchFeatureView type and settings when copying it ([feast-dev#6989](feast-dev#6989)) ([013fc57](feast-dev@013fc57))
* Keep tiling, offline and stream engine settings when copying a StreamFeatureView ([fac0f88](feast-dev@fac0f88))
* Limit tiled max and min aggregations to the window ([2583c45](feast-dev@2583c45))
* Load Milvus collections once instead of on every query ([feast-dev#6882](feast-dev#6882)) ([f9e91fa](feast-dev@f9e91fa))
* Make vector length validation reachable, schema-driven and vectorized ([feast-dev#6909](feast-dev#6909)) ([29af8c0](feast-dev@29af8c0)), closes [feast-dev#6907](feast-dev#6907)
* Map INT32_LIST, PDF_BYTES and IMAGE_BYTES type names to their ValueType ([8c1e825](feast-dev@8c1e825))
* Map narrow and unsigned Arrow integer types to Feast value types ([feast-dev#6960](feast-dev#6960)) ([ae74360](feast-dev@ae74360))
* Map Spark smallint and tinyint columns to INT32 ([9d42729](feast-dev@9d42729))
* Map SQL Server bigint to INT64 and float to DOUBLE ([6d15533](feast-dev@6d15533))
* Map Trino DECIMAL columns to pyarrow decimal128 ([155bc24](feast-dev@155bc24))
* Normalize Arrow-backed dtypes from Ray Dataset.to_pandas() for pyarrow >=25 compatibility ([feast-dev#6916](feast-dev#6916)) ([374f1d7](feast-dev@374f1d7))
* **operator:** Set grpc appProtocol on the offline Service port ([f9dcfb5](feast-dev@f9dcfb5))
* Pin expected tensor to same device in online retrieval test ([feast-dev#6777](feast-dev#6777)) ([1f2584d](feast-dev@1f2584d))
* Preserve an unset aggregation time window across a proto round-trip ([2000379](feast-dev@2000379))
* Preserve entity row order in precomputed reads ([ce37029](feast-dev@ce37029))
* Pull the MinIO test image from pgsty/minio ([fe27230](feast-dev@fe27230))
* Pull the MinIO test image from quay ([feast-dev#6838](feast-dev#6838)) ([367001b](feast-dev@367001b))
* Raise Trino monitoring query errors other than a missing table ([6161766](feast-dev@6161766))
* Read Kafka and Kinesis sources without a batch source from proto ([a620f5c](feast-dev@a620f5c))
* Read naive datetimes as UTC in UnixTimestamp values ([bc703d9](feast-dev@bc703d9))
* Record which storage class wrote a custom_storage payload ([feast-dev#6988](feast-dev#6988)) ([c0545f7](feast-dev@c0545f7))
* Refresh the SQL registry cache after deleting a data source ([66c55e3](feast-dev@66c55e3))
* Refresh the SQL registry cache after deleting a permission ([6b212f5](feast-dev@6b212f5))
* Reject unknown resource types and actions in the REST permission API ([a5eaa36](feast-dev@a5eaa36))
* Remove pip install command from Redis GLIDE docstring ([66ff990](feast-dev@66ff990))
* Remove runtime pip install hints from mlflow errors ([dd9f099](feast-dev@dd9f099))
* Remove unsupported vector_len from PostgreSQL tutorial config ([fcc9a85](feast-dev@fcc9a85))
* Repair Chronon operator validation and Pixi CI setup ([feast-dev#6947](feast-dev#6947)) ([3710f78](feast-dev@3710f78))
* Report Dask monitoring read errors instead of no data ([81673d9](feast-dev@81673d9))
* Resolve feature view batch source name against registry ([f8883d0](feast-dev@f8883d0))
* Restrict UI server CORS to trusted origins ([feast-dev#6986](feast-dev#6986)) ([5e7ef3e](feast-dev@5e7ef3e))
* Return feature_view_metadata from the REST feature server ([feast-dev#6927](feast-dev#6927)) ([bc5aeef](feast-dev@bc5aeef))
* Serve aliased on demand feature views in feature services ([823b92e](feast-dev@823b92e))
* Snapshot tag filters in registry cache keys ([81e1546](feast-dev@81e1546))
* Stabilize materialization checks across hour boundaries ([feast-dev#6948](feast-dev#6948)) ([acadb17](feast-dev@acadb17))
* Stop the Couchbase online store reporting failed writes as written ([b3f3c98](feast-dev@b3f3c98))
* Support SQL registry dump ([b60f9c7](feast-dev@b60f9c7))
* Treat datetimes with a None utcoffset as naive ([687bee8](feast-dev@687bee8))
* Unwrap SecretStr tokens when building Trino auth objects ([feast-dev#6771](feast-dev#6771)) ([922db5c](feast-dev@922db5c))
* Use a valid ShuffleStrategy for the Ray DatasetContext ([6259f5c](feast-dev@6259f5c))
* Use do_exchange for offline server reads to support HPA ([bae07fc](feast-dev@bae07fc))
* Use group_by in Polars backend aggregation ([feast-dev#6965](feast-dev#6965)) ([7b9fad2](feast-dev@7b9fad2))
* Use upstream kubectl image as feast-operator CronJob default ([d6cc1dc](feast-dev@d6cc1dc))
* Use UTC end bound and correct docs for disable_event_timestamp ([feast-dev#6956](feast-dev#6956)) ([cc07c82](feast-dev@cc07c82)), closes [feast-dev#6936](feast-dev#6936)

### Features

* Add a non-JVM read path for Lance data sources ([feast-dev#6943](feast-dev#6943)) ([e2a53bb](feast-dev@e2a53bb)), closes [feast-dev#6925](feast-dev#6925) [feast-dev#5782](feast-dev#5782) [feast-dev#6909](feast-dev#6909)
* Add a non-JVM write path for Lance data sources ([feast-dev#6945](feast-dev#6945)) ([f754323](feast-dev@f754323)), closes [feast-dev#6943](feast-dev#6943) [feast-dev#6909](feast-dev#6909)
* Add Chronon online and offline store integrations ([feast-dev#6188](feast-dev#6188)) ([dd059c6](feast-dev@dd059c6))
* Add consistency_level to the Milvus online store config ([97296c1](feast-dev@97296c1))
* Add dualStack server option to the Feast operator ([feast-dev#6887](feast-dev#6887)) ([725a147](feast-dev@725a147)), closes [feast-dev#6977](feast-dev#6977)
* Add Lance optional dependencies ([feast-dev#6958](feast-dev#6958)) ([20bc993](feast-dev@20bc993))
* Add LanceFormat table format with version/tag pinning ([1196e22](feast-dev@1196e22)), closes [feast-dev#5650](feast-dev#5650)
* Add MLflow as a first-class offline DataSource for Feast ([feast-dev#6702](feast-dev#6702)) ([3667772](feast-dev@3667772))
* Add optional GLIDE client for Redis online reads ([feast-dev#6870](feast-dev#6870)) ([6e9a532](feast-dev@6e9a532))
* Add quality monitoring features for Trino offline store ([feast-dev#6779](feast-dev#6779)) ([9340545](feast-dev@9340545))
* Add SavedDatasetLanceStorage ([1118d3e](feast-dev@1118d3e))
* Add standalone MCP server as a first-class component ([0efab5c](feast-dev@0efab5c)), closes [python-keycloak#623](https://github.com/python-keycloak/issues/623)
* Add structured audit logging for MCP feature server ([feast-dev#6456](feast-dev#6456)) ([640ac70](feast-dev@640ac70))
* Add Trino compute engine for batch retrieval and materialization ([feast-dev#6898](feast-dev#6898)) ([11a47b4](feast-dev@11a47b4))
* Batch Postgres online reads across feature views ([feast-dev#6832](feast-dev#6832)) ([514bee7](feast-dev@514bee7)), closes [feast-dev#3259](feast-dev#3259)
* **bigtable:** Make write batch size and concurrency configurable ([feast-dev#6847](feast-dev#6847)) ([5388522](feast-dev@5388522))
* Bucket feature count labels in latency metrics ([feast-dev#6811](feast-dev#6811)) ([d9ea120](feast-dev@d9ea120))
* Expose runtime version in Feast UI ([feast-dev#6843](feast-dev#6843)) ([fa8f06b](feast-dev@fa8f06b))
* Make Milvus index and search params configurable ([ef743ff](feast-dev@ef743ff))
* Offline write batch for IcebergSource ([5be5ed0](feast-dev@5be5ed0))
* OpenLineage consumer improvements - dataset versioning, column lineage, ownership ([69f294e](feast-dev@69f294e))
* **operator:** Add tolerations and nodeSelector to the FeatureStore CR ([feast-dev#6741](feast-dev#6741)) ([03dac6f](feast-dev@03dac6f))
* Serve the MCP server dual-stack on --host :: ([4fc9726](feast-dev@4fc9726))
* Support Milvus partition keys in the Milvus online store ([0ed3285](feast-dev@0ed3285))
* Support token, uri and db_name in the Milvus online store ([c5efecd](feast-dev@c5efecd))
* Version-pinning for FeatureService (online + offline) ([feast-dev#6718](feast-dev#6718)) ([787845a](feast-dev@787845a))

### Performance Improvements

* Avoid pandas copy in Spark reads ([feast-dev#6878](feast-dev#6878)) ([4771156](feast-dev@4771156))
* Decouple metrics HTTP server into a dedicated child process ([feast-dev#6855](feast-dev#6855)) ([0b621de](feast-dev@0b621de))
* Reduce online serving hot-path overhead from metrics and audit logging ([5ee7ee3](feast-dev@5ee7ee3))

---------

Signed-off-by: Srihari <svenkata@redhat.com>
Signed-off-by: ntkathole <nikhilkathole2683@gmail.com>
Co-authored-by: Srihari <svenkata@redhat.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: feast-ci-bot <feast-ci-bot@willem.co>
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FeatureService cannot pin a specific FeatureView/OnDemandFeatureView version

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