github feast-dev/feast v0.62.0

8 hours ago

0.62.0 (2026-04-08)

Bug Fixes

  • Added missing jackc/pgx/v5 entries (94ad0e7)
  • Fix missing error handling for resource_counts endpoint (d9706ce)
  • fix path feature_definitions.py (7d7df68)
  • Fix regstry Rest API tests intermittent failure (d53a339)
  • Fixed intermittent failures in get_historical_features (c335ec7)
  • Fixed the intermittent FeatureViewNotFoundException (661ecc7)
  • Handle existing RBAC role gracefully in namespace registry (b46a62b)
  • Ignore ipynb files during apply (#6151) (4ea123d)
  • Mount TLS volumes for init container (080a9b5)
  • postgres: Use end_date in synthetic entity_df for non-entity retrieval (#6110) (088a802), closes #6066
  • SSL/TLS mode by default for postgres connection (4844488)
  • Sync v0.61-branch so v0.61.0 tag is reachable from master (af66878)

Features

  • Add Claude Code agent skills for Feast (#6081) (1e5b60f), closes #5976 #6007
  • Add decimal to supported feature types (#6029) (#6226) (cff6fbf)
  • Add feast apply init container to automate registry population on pod start (#6106) (6b31a43)
  • Add feature view versioning support to PostgreSQL and MySQL online stores (#6193) (940e0f0), closes #6168 #6169 #2728
  • Add metadata statistics to registry api (ef1d4fc)
  • Add Oracle DB as Offline store in python sdk & operator (#6017) (9d35368)
  • Add RBAC aggregation labels to FeatureStore ClusterRoles (daf77c6)
  • Add ServiceMonitor auto-generation for Prometheus discovery (#6126) (56e6d21)
  • Add typed_features field to grpc write request ((#6117) (#6118) (eeaa6db), closes #6116
  • Add UUID and TIME_UUID as feature types (#5885) (#5951) (5d6e311)
  • Add version indicators to lineage graph nodes (#6187) (73805d3)
  • Add version tracking to FeatureView (#6101) (ed4a4f2)
  • Added Agent skills for AI Agents (#6007) (99008c8)
  • Added odfv transformations metrics (8b5a526)
  • Created DocEmbedder class (#5973) (0719c06)
  • Extended OIDC support to extract groups & namespaces and token injection with multiple methods (#6089) (7c04026)
  • Replace ORJSONResponse with Pydantic response models for faster JSON serialization (65cf03c)
  • Support distinct count aggregation [#6116] (3639570)
  • Support HTTP in MCP (#6109) (e72b983)
  • Support nested collection types (Array/Set of Array/Set) (#5947) (#6132) (ab61642)
  • Support podAnnotations on Deployment pod template (1b3cdc1)
  • Utilize date partition column in BigQuery (#6076) (4ea9b32)

Performance Improvements

  • Online feature response construction in a single pass over read rows (113fb04)

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