GeezerVison is showing github.com — feat: Add feast apply init container to automate registry population on pod start by ntkathole · Pull Request #6106 · feast-dev/feast
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ntkathole
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Mar 14, 2026
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What this PR does / why we need it:
When deploying Feast via the Feast Operator, users must manually run feast apply
after every CRD creation to populate the feature store registry. This is an extra
operational step that is easy to forget and creates a poor user experience.
- This PR adds a
feast-apply init container to the Feast deployment that runs feast apply
automatically before the main server containers start. This ensures the registry is
always populated on every pod start. The init container inherits env vars, envFrom, and volume mounts from all configured server containers (registry, online, offline) to ensure DB/store connectivity.
Users can set spec.services.runFeastApplyOnInit to false to disable the automatic apply behavior. The feature can also be disabled globally via the existing spec.services.disableInitContainers: true field.
-
Surface container failure details in CRD status when the deployment is unavailable. Instead of the generic "Deployment is not available", the controller now inspects pod init/container statuses and reports the specific failure (e.g., Init container 'feast-apply' failed with exit code 1).
-
Fix _apply_object race condition in SqlRegistry by wrapping the insert in a savepoint and catching IntegrityError, so concurrent feast apply calls from multiple pods don't crash on duplicate key conflicts. This was done to fix intermittent failures on rest-api tests.
-
Make replicas field optional in the FeatureStore CRD spec (json:"replicas,omitempty"), removing it from the required list so it defaults to 1 without requiring explicit specification.
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✅ Devin Review: No Issues Found
Devin Review analyzed this PR and found no potential bugs to report.
View in Devin Review to see 4 additional findings.
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Devin Review found 1 new potential issue.
View 10 additional findings in Devin Review.
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franciscojavierarceo
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Apr 7, 2026
# [0.61.0](v0.60.0...v0.61.0) (2026-04-07)
### Bug Fixes
* Add grpcio dependency group to transformation server Dockerfile ([2c2150a](2c2150a))
* Add https readiness check for rest-registry tests ([ea85e63](ea85e63))
* Add website build check for PRs and fix blog frontmatter YAML error ([#6079](#6079)) ([30a3a43](30a3a43))
* Added missing jackc/pgx/v5 entries ([94ad0e7](94ad0e7))
* Added MLflow metric charts across feature selection ([#6080](#6080)) ([a403361](a403361))
* Check duplicate names for feature view across types ([#5999](#5999)) ([95b9af8](95b9af8))
* Fix integration tests ([#6046](#6046)) ([02d5548](02d5548))
* Fix missing error handling for resource_counts endpoint ([d9706ce](d9706ce))
* Fix non-specific label selector on metrics service ([a1a160d](a1a160d))
* fix path feature_definitions.py ([7d7df68](7d7df68))
* Fix regstry Rest API tests intermittent failure ([d53a339](d53a339))
* Fixed IntegrityError on SqlRegistry ([#6047](#6047)) ([325e148](325e148))
* Fixed intermittent failures in get_historical_features ([c335ec7](c335ec7))
* Fixed pre-commit check ([114b7db](114b7db))
* Fixed the intermittent FeatureViewNotFoundException ([661ecc7](661ecc7))
* Fixed uv cache permission error for docker build on mac ([ad807be](ad807be))
* Fixes a `PydanticDeprecatedSince20` warning for trino_offline_store ([#5991](#5991)) ([abfd18a](abfd18a))
* Handle existing RBAC role gracefully in namespace registry ([b46a62b](b46a62b))
* Ignore ipynb files during apply ([#6151](#6151)) ([4ea123d](4ea123d))
* Integration test failures ([#6040](#6040)) ([9165870](9165870))
* Mount TLS volumes for init container ([080a9b5](080a9b5))
* **postgres:** Use end_date in synthetic entity_df for non-entity retrieval ([#6110](#6110)) ([088a802](088a802)), closes [#6066](#6066)
* Ray offline store tests are duplicated across 3 workflows ([54f705a](54f705a))
* Reenable tests ([#6036](#6036)) ([82ee7f8](82ee7f8))
* SSL/TLS mode by default for postgres connection ([4844488](4844488))
* Use commitlint pre-commit hook instead of a separate action ([35a81e7](35a81e7))
### Features
* Add Claude Code agent skills for Feast ([#6081](#6081)) ([1e5b60f](1e5b60f)), closes [#5976](#5976) [#6007](#6007)
* Add complex type support (Map, JSON, Struct) with schema validation ([#5974](#5974)) ([1200dbf](1200dbf))
* Add decimal to supported feature types ([#6029](#6029)) ([#6226](#6226)) ([cff6fbf](cff6fbf))
* Add feast apply init container to automate registry population on pod start ([#6106](#6106)) ([6b31a43](6b31a43))
* Add feature view versioning support to PostgreSQL and MySQL online stores ([#6193](#6193)) ([940e0f0](940e0f0)), closes [#6168](#6168) [#6169](#6169) [#2728](#2728)
* Add materialization, feature freshness, request latency, and push metrics to feature server ([2c6be18](2c6be18))
* Add metadata statistics to registry api ([ef1d4fc](ef1d4fc))
* Add non-entity retrieval support for ClickHouse offline store ([4d08ddc](4d08ddc)), closes [#5835](#5835)
* Add OnlineStore for MongoDB ([#6025](#6025)) ([bf4e3fa](bf4e3fa)), closes [golang/go#74462](golang/go#74462)
* Add Oracle DB as Offline store in python sdk & operator ([#6017](#6017)) ([9d35368](9d35368))
* Add RBAC aggregation labels to FeatureStore ClusterRoles ([daf77c6](daf77c6))
* Add ServiceMonitor auto-generation for Prometheus discovery ([#6126](#6126)) ([56e6d21](56e6d21))
* Add typed_features field to grpc write request (([#6117](#6117)) ([#6118](#6118)) ([eeaa6db](eeaa6db)), closes [#6116](#6116)
* Add UUID and TIME_UUID as feature types ([#5885](#5885)) ([#5951](#5951)) ([5d6e311](5d6e311))
* Add version indicators to lineage graph nodes ([#6187](#6187)) ([73805d3](73805d3))
* Add version tracking to FeatureView ([#6101](#6101)) ([ed4a4f2](ed4a4f2))
* Added Agent skills for AI Agents ([#6007](#6007)) ([99008c8](99008c8))
* Added CodeQL SAST scanning and detect-secrets pre-commit hook ([547b516](547b516))
* Added odfv transformations metrics ([8b5a526](8b5a526))
* Adding optional name to Aggregation (feast-dev[#5994](#5994)) ([#6083](#6083)) ([56469f7](56469f7))
* Created DocEmbedder class ([#5973](#5973)) ([0719c06](0719c06))
* Extended OIDC support to extract groups & namespaces and token injection with multiple methods ([#6089](#6089)) ([7c04026](7c04026))
* Feature Server High-Availability on Kubernetes ([#6028](#6028)) ([9c07b4c](9c07b4c)), closes [Hi#Availability](https://github.com/Hi/issues/Availability) [Hi#Availability](https://github.com/Hi/issues/Availability)
* **go:** Implement metrics and tracing for http and grpc servers ([#5925](#5925)) ([2b4ec9a](2b4ec9a))
* Horizontal scaling support to the Feast operator ([#6000](#6000)) ([3ec13e6](3ec13e6))
* Making feature view source optional (feast-dev[#6074](#6074)) ([#6075](#6075)) ([76917b7](76917b7))
* Replace ORJSONResponse with Pydantic response models for faster JSON serialization ([65cf03c](65cf03c))
* Support arm docker build ([#6061](#6061)) ([1e1f5d9](1e1f5d9))
* Support distinct count aggregation [[#6116](#6116)] ([3639570](3639570))
* Support HTTP in MCP ([#6109](#6109)) ([e72b983](e72b983))
* Support nested collection types (Array/Set of Array/Set) ([#5947](#5947)) ([#6132](#6132)) ([ab61642](ab61642))
* Support podAnnotations on Deployment pod template ([1b3cdc1](1b3cdc1))
* Use orjson for faster JSON serialization in feature server ([6f5203a](6f5203a))
* Utilize date partition column in BigQuery ([#6076](#6076)) ([4ea9b32](4ea9b32))
### Performance Improvements
* Online feature response construction in a single pass over read rows ([113fb04](113fb04))
* Optimize protobuf parsing in Redis online store ([#6023](#6023)) ([59dfdb8](59dfdb8))
* Optimize timestamp conversion in _convert_rows_to_protobuf ([33a2e95](33a2e95))
* Parallelize DynamoDB batch reads in sync online_read ([#6024](#6024)) ([9699944](9699944))
* Remove redundant entity key serialization in online_read ([d87283f](d87283f))
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