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v0.62.0
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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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