fix: Spark Materialization Engine Cannot Infer Schema #5806
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…east-dev#5594) Signed-off-by: Jacob Weinhold <[email protected]>
…east-dev#5594) Signed-off-by: Jacob Weinhold <[email protected]>
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# [0.59.0](v0.58.0...v0.59.0) (2026-01-16) ### Bug Fixes * Add get_table_query_string_with_alias() for PostgreSQL subquery aliasing ([#5811](#5811)) ([11122ce](11122ce)) * Add hybrid online store to ONLINE_STORE_CLASS_FOR_TYPE mapping ([#5810](#5810)) ([678589b](678589b)) * Add possibility to overwrite send_receive_timeout for clickhouse offline store ([#5792](#5792)) ([59dbb33](59dbb33)) * Denial by default to all resources when no permissions set ([#5663](#5663)) ([1524f1c](1524f1c)) * Make operator include full OIDC secret in repo config ([#5676](#5676)) ([#5809](#5809)) ([a536bc2](a536bc2)) * Populate Postgres `registry.path` during `feast init` ([#5785](#5785)) ([f293ae8](f293ae8)) * **redis:** Preserve millisecond timestamp precision for Redis online store ([#5807](#5807)) ([9e3f213](9e3f213)) * Search API to return all matching tags in matched_tags field ([#5843](#5843)) ([de37f66](de37f66)) * Spark Materialization Engine Cannot Infer Schema ([#5806](#5806)) ([58d0325](58d0325)), closes [#5594](#5594) [#5594](#5594) * Support arro3 table schema with newer deltalake packages ([#5799](#5799)) ([103c5e9](103c5e9)) * Timestamp formatting and lakehouse-type connector for trino_offline_store. ([#5846](#5846)) ([c2ea7e9](c2ea7e9)) * Update model_validator to use instance method signature (Pydantic v2.12 deprecation) ([#5825](#5825)) ([3c10b6e](3c10b6e)) ### Features * Add dbt integration for importing models as FeatureViews ([#5827](#5827)) ([b997361](b997361)), closes [#3335](#3335) [#3335](#3335) [#3335](#3335) * Add GCS registry store in Go feature server ([#5818](#5818)) ([1dc2be5](1dc2be5)) * Add progress bar to CLI from feast apply ([#5867](#5867)) ([ab3562b](ab3562b)) * Add RBAC blog post to website ([#5861](#5861)) ([b1844a3](b1844a3)) * Add skip_feature_view_validation parameter to FeatureStore.apply() and plan() ([#5859](#5859)) ([5482a0e](5482a0e)) * Added batching to feature server /push to offline store ([#5683](#5683)) ([#5729](#5729)) ([ce35ce6](ce35ce6)) * Enable static artifacts for feature server that can be used in Feature Transformations ([#5787](#5787)) ([edefc3f](edefc3f)) * Improve lambda materialization engine ([#5829](#5829)) ([f6116f9](f6116f9)) * Offline Store historical features retrieval based on datetime range in Ray ([#5738](#5738)) ([e484c12](e484c12)) * Read, Save docs and chat fixes ([#5865](#5865)) ([2081b55](2081b55)) * Resolve pyarrow >21 installation with ibis-framework ([#5847](#5847)) ([8b9bb50](8b9bb50)) * Support staging for spark materialization ([#5671](#5671)) ([#5797](#5797)) ([5b787af](5b787af))
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What this PR does / why we need it:
Handle Arrow-to-Spark conversion without schema inference errors by deriving schema from Arrow and creating an empty Spark DataFrame when no rows are returned.
Which issue(s) this PR fixes: