← 输入框|github.com|刷新
Skip to content

feat: Support table format: Iceberg, Delta, and Hudi - #5650

Merged
haoxu0 merged 17 commits into
masterfrom
support-table-format
Nov 6, 2025
Merged

haoxu0 merged 17 commits into
masterfrom
support-table-format

Conversation

@haoxu0

@haoxu0 haoxu0 commented Oct 5, 2025 •

Copy link
Copy Markdown
Collaborator

What this PR does / why we need it:

examples:

  from feast.table_format import IcebergFormat
  from feast.infra.offline_stores.contrib.spark_offline_store.spark_source import SparkSource

  # Create Iceberg format with snapshot option
  iceberg_format = IcebergFormat()
  iceberg_format.set_property("snapshot-id", "your_snapshot_id")

  spark_source = SparkSource(
      name="iceberg_features",
      path="my_catalog.my_database.my_table",  # Catalog table name
      table_format=iceberg_format
  )

  Generated Spark code:
  spark.read.format("iceberg").option("snapshot-id", "your_snapshot_id").load("my_catalog.my_database.my_table")

  ✅ Delta Example:

  from feast.table_format import DeltaFormat

  delta_format = DeltaFormat()
  delta_format.set_property("versionAsOf", "1")

  spark_source = SparkSource(
      name="delta_features",
      path="s3://bucket/delta-table",
      table_format=delta_format
  )

  Generated Spark code:
  spark.read.format("delta").option("versionAsOf", "1").load("s3://bucket/delta-table")

  ✅ Hudi Example:

  from feast.table_format import HudiFormat

  hudi_format = HudiFormat()
  hudi_format.set_property("hoodie.datasource.query.type", "snapshot")
  hudi_format.set_property("as.of.instant", "20231010120000")

  spark_source = SparkSource(
      name="hudi_features",
      path="s3://bucket/hudi-table",
      table_format=hudi_format
  )

  Generated Spark code:
  spark.read.format("hudi")\
    .option("hoodie.datasource.query.type", "snapshot")\
    .option("as.of.instant", "20231010120000")\
    .load("s3://bucket/hudi-table")

Which issue(s) this PR fixes:

Misc

haoxu0 added 3 commits October 5, 2025 14:42
Signed-off-by: HaoXuAI <sduxuhao@gmail.com>
Signed-off-by: HaoXuAI <sduxuhao@gmail.com>
Signed-off-by: HaoXuAI <sduxuhao@gmail.com>
@haoxu0
haoxu0 requested a review from a team as a code owner October 5, 2025 21:47
@haoxu0 haoxu0 changed the title feat: Support table format feat: Support table format: Iceberg, Delta, and Hudi Oct 5, 2025
haoxu0 added 2 commits October 5, 2025 15:08
Signed-off-by: HaoXuAI <sduxuhao@gmail.com>
Signed-off-by: HaoXuAI <sduxuhao@gmail.com>
Comment thread protos/feast/core/DataSource.proto Outdated
string date_partition_column_format = 5;

// Table Format (e.g. iceberg, delta, etc)
string table_format = 6;

Copy link
Copy Markdown
Collaborator Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

TODO, create TableFormat proto, consolidate with FileFormat proto

@tokoko

tokoko commented Oct 6, 2025

Copy link
Copy Markdown
Collaborator

+1 on the inclusion of all 3 formats. Still I think we might be able to better design data-source side such that data source definitions don't tie the sources to specific offline stores. For example right now FileSource already supports specifying delta as a format... I don't like that design either because delta and especially iceberg might require more configuration that plain files, but the upside in that design was that Source class wasn't tied to a single offline store and it is actually usable from both dask and duckdb offline stores. Hiding formats behind SparkSource will mean that when a user stores a data source instance in the registry only spark offline store can be used to retrieve the data.

I think we can have best of both worlds if we instead go for adding all these formats as separate independent data sources (DeltaSource, IcebergSource, HudiSource) and then simply teach spark engine (and in the future others) how to read it.

query: The query to be executed in Spark.
path: The path to file data.
file_format: The format of the file data.
file_format: The underlying file format (parquet, avro, csv, json).

Copy link
Copy Markdown
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

why not consolidate now?

@franciscojavierarceo

Copy link
Copy Markdown
Member

I think we can have best of both worlds if we instead go for adding all these formats as separate independent data sources (DeltaSource, IcebergSource, HudiSource) and then simply teach spark engine (and in the future others) how to read it.

+1

@haoxu0

haoxu0 commented Oct 6, 2025

Copy link
Copy Markdown
Collaborator Author

@franciscojavierarceo @tokoko consolidation with FilleFormat and new data sources could break the backward compatibility, so I want to do it pace by pace.

@franciscojavierarceo

Copy link
Copy Markdown
Member

That makes sense

@tokoko

tokoko commented Oct 7, 2025

Copy link
Copy Markdown
Collaborator

@HaoXuAI Why would new data sources break backwards compatibility though?

@haoxu0

haoxu0 commented Oct 9, 2025

Copy link
Copy Markdown
Collaborator Author

@HaoXuAI Why would new data sources break backwards compatibility though?

There will be some proto changes, no 100% sure if there will be API changes exposed to users but I think might be the case

haoxu0 added 3 commits October 8, 2025 23:01
Signed-off-by: HaoXuAI <sduxuhao@gmail.com>
Signed-off-by: HaoXuAI <sduxuhao@gmail.com>
@haoxu0

haoxu0 commented Oct 10, 2025

Copy link
Copy Markdown
Collaborator Author

@franciscojavierarceo @ntkathole mind take a look

@franciscojavierarceo franciscojavierarceo left a comment

Copy link
Copy Markdown
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

@HaoXuAI i don't see use actually using or testing Spark Table, Iceberg, or Hudi format's outside of our definitions, can you add that?

Can you also add documentation that these formats are now supported?

Otherwise lgtm.

@haoxu0

haoxu0 commented Oct 14, 2025

Copy link
Copy Markdown
Collaborator Author

@HaoXuAI i don't see use actually using or testing Spark Table, Iceberg, or Hudi format's outside of our definitions, can you add that?

Can you also add documentation that these formats are now supported?

Otherwise lgtm.

@haoxu0 haoxu0 closed this Oct 14, 2025
@haoxu0 haoxu0 reopened this Oct 14, 2025
@haoxu0

haoxu0 commented Oct 14, 2025

Copy link
Copy Markdown
Collaborator Author

@HaoXuAI i don't see use actually using or testing Spark Table, Iceberg, or Hudi format's outside of our definitions, can you add that?
Can you also add documentation that these formats are now supported?
Otherwise lgtm.

Gonna update to add the TableFormat proto in the next PR, after that I'll add the docs. And I think the test will need to be changed as well.

haoxu0 and others added 7 commits October 29, 2025 21:36
Signed-off-by: hao-xu5 <hxu44@apple.com>
Signed-off-by: hao-xu5 <hxu44@apple.com>
Signed-off-by: hao-xu5 <hxu44@apple.com>
Signed-off-by: hao-xu5 <hxu44@apple.com>
Signed-off-by: hao-xu5 <hxu44@apple.com>
@haoxu0

haoxu0 commented Nov 6, 2025

Copy link
Copy Markdown
Collaborator Author

@franciscojavierarceo mind take another look?

@franciscojavierarceo franciscojavierarceo left a comment

Copy link
Copy Markdown
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Lgtm

@haoxu0
haoxu0 merged commit 2915ad1 into master Nov 6, 2025
19 of 20 checks passed
haoxu0 added a commit that referenced this pull request Nov 12, 2025
* add support for table format such as Iceberg, Delta, Hudi etc.

Signed-off-by: HaoXuAI <sduxuhao@gmail.com>

* linting

Signed-off-by: HaoXuAI <sduxuhao@gmail.com>

* linting

Signed-off-by: HaoXuAI <sduxuhao@gmail.com>

* add tests

Signed-off-by: HaoXuAI <sduxuhao@gmail.com>

* fix tests

Signed-off-by: HaoXuAI <sduxuhao@gmail.com>

* fix tests

Signed-off-by: HaoXuAI <sduxuhao@gmail.com>

* linting

Signed-off-by: HaoXuAI <sduxuhao@gmail.com>

* add tableformat proto

Signed-off-by: hao-xu5 <hxu44@apple.com>

* update

Signed-off-by: hao-xu5 <hxu44@apple.com>

* update doc

Signed-off-by: hao-xu5 <hxu44@apple.com>

* fix linting

Signed-off-by: hao-xu5 <hxu44@apple.com>

* fix test

Signed-off-by: hao-xu5 <hxu44@apple.com>

---------

Signed-off-by: HaoXuAI <sduxuhao@gmail.com>
Signed-off-by: hao-xu5 <hxu44@apple.com>
Co-authored-by: hao-xu5 <hxu44@apple.com>
franciscojavierarceo pushed a commit that referenced this pull request Nov 13, 2025
# [0.57.0](v0.56.0...v0.57.0) (2025-11-13)

### Bug Fixes

* Improve trino to feast type mapping with (real,varchar,timestamp,decimal) ([#5691](#5691)) ([f855ad2](f855ad2))
* Materialize API - ODFV views not looked-up (thinks views non existant)  - crashes materialize ([#5716](#5716)) ([1b050b3](1b050b3))
* Support historical feature retrieval with start_date/end_date in RemoteOfflineStore ([#5703](#5703)) ([ad32756](ad32756))
* Thread safe Clickhouse offline store ([#5710](#5710)) ([5f446ed](5f446ed))

### Features

* Add annotations to cronjob CRDs ([#5701](#5701)) ([be6e6c2](be6e6c2))
* Add batch commit mode for MySQL OnlineStore ([#5699](#5699)) ([3cfe4eb](3cfe4eb))
* Add possibility to materialize only latest values, to increase performance ([#5713](#5713)) ([8d77b72](8d77b72))
* Support table format: Iceberg, Delta, and Hudi ([#5650](#5650)) ([2915ad1](2915ad1))
ntkathole pushed a commit to haoxu0/feast that referenced this pull request Oct 4, 2026
Extends the existing TableFormat abstraction (feast-dev#5650) with Lance rather than
introducing a separate data source, so Lance is addressed the same way Iceberg,
Delta and Hudi already are. Closes part of feast-dev#6899.

LanceFormat carries catalog/namespace addressing plus an optional pin to a
dataset version or tag. Because SparkSource already drives its reader
generically from table_format.format_type.value and table_format.properties,
this works with SparkSource with no changes to it: format_type.value is
"lance", and the pin is mirrored into properties as lance.version / lance.tag.

version is validated as >= 1 so the Python and proto semantics agree. Lance
dataset versions start at 1 and the proto treats 0 as unset, so without that
guard version=0 would not round-trip, since to_proto/from_proto read 0 as
absent. version and tag are mutually exclusive, because a tag already resolves
to a version.

Only DataFormat_pb2 is regenerated, using grpcio-tools 1.62.3 so the emitted
gencode stays at the 4.25.1 level the other checked-in protos use. Regenerating
with the pinned grpcio-tools 1.84.0 instead emits gencode that calls
ValidateProtobufRuntimeVersion for protobuf 7.35.1, which would break the
declared protobuf>=4.24.0 floor for that one module.

DataSource_pb2 is deliberately left untouched. It is already stale against
DataSource.proto on master, missing ConnectionRef entries, and regenerating it
produces ~125 lines of churn unrelated to this change.

Signed-off-by: hao-xu5 <hxu44@apple.com>
ntkathole pushed a commit that referenced this pull request Oct 4, 2026
Extends the existing TableFormat abstraction (#5650) with Lance rather than
introducing a separate data source, so Lance is addressed the same way Iceberg,
Delta and Hudi already are. Closes part of #6899.

LanceFormat carries catalog/namespace addressing plus an optional pin to a
dataset version or tag. Because SparkSource already drives its reader
generically from table_format.format_type.value and table_format.properties,
this works with SparkSource with no changes to it: format_type.value is
"lance", and the pin is mirrored into properties as lance.version / lance.tag.

version is validated as >= 1 so the Python and proto semantics agree. Lance
dataset versions start at 1 and the proto treats 0 as unset, so without that
guard version=0 would not round-trip, since to_proto/from_proto read 0 as
absent. version and tag are mutually exclusive, because a tag already resolves
to a version.

Only DataFormat_pb2 is regenerated, using grpcio-tools 1.62.3 so the emitted
gencode stays at the 4.25.1 level the other checked-in protos use. Regenerating
with the pinned grpcio-tools 1.84.0 instead emits gencode that calls
ValidateProtobufRuntimeVersion for protobuf 7.35.1, which would break the
declared protobuf>=4.24.0 floor for that one module.

DataSource_pb2 is deliberately left untouched. It is already stale against
DataSource.proto on master, missing ConnectionRef entries, and regenerating it
produces ~125 lines of churn unrelated to this change.

Signed-off-by: hao-xu5 <hxu44@apple.com>
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>
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Projects

None yet

Development

Successfully merging this pull request may close these issues.

3 participants