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perf: Avoid pandas copy in Spark reads - #6878
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@ntkathole could you take a look when you have a chance? This covers the Spark part of #6863, with the memory comparison in the description. |
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## master #6878 +/- ##
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| ) | ||
| else: | ||
| spark_df = self.spark_session.createDataFrame(arrow_table.to_pandas()) | ||
| spark_df = self.spark_session.createDataFrame(arrow_table) |
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spark.py:1255 still has createDataFrame(arrow_table.to_pandas()) — please either update it here or track a follow-up TODO/issue so it isn't forgotten.
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Updated the Iceberg registration path too in 4f1fcf9, with coverage for chunked, nullable and empty Arrow inputs.
| @@ -198,7 +198,7 @@ def execute(self, context: ExecutionContext) -> DAGValue: | |||
| self.spark_session.sparkContext.emptyRDD(), schema=spark_schema | |||
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With native Arrow ingestion, createDataFrame(arrow_table) works for zero-row tables too — this num_rows == 0 branch could be collapsed into the single direct path (or add a comment explaining why it's kept).
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Collapsed this into one direct Arrow path in 4f1fcf9. Empty-table cases pass on Spark 4.0 and 4.2.
| spark_session.conf.set(config_key, str(arrow_enabled).lower()) | ||
| try: | ||
| with patch( | ||
| "feast.infra.compute_engines.spark.nodes.create_offline_store_retrieval_job", |
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Spark collects TimestampType as naive datetime in the session timezone — .astimezone(timezone.utc) on a naive datetime assumes the system TZ is correct. Consider setting spark.sql.session.timeZone to UTC in this test for deterministic CI results.
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Set the session timezone to UTC and compare Arrow rows, so the check avoids naive datetime conversion. Confirmed with TZ=UTC and TZ=Pacific/Honolulu in 4f1fcf9.
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Signed-off-by: Pranjul Gupta <pranjulgupta0203@gmail.com>
Signed-off-by: Pranjul Gupta <pranjulgupta0203@gmail.com>
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# [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))
* 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>
What this PR does
Pass the retrieved Arrow table directly to Spark, removing the full pandas intermediate in
SparkReadNodeand Iceberg temp-view registration. Feast already requires PySpark >= 4.0, which supports native Arrow table ingestion.Adds coverage for multiple chunks, nulls, column types, UTC timestamps, empty tables, Iceberg temp views, and native Spark retrieval jobs, with Arrow optimization enabled and disabled.
Related issue
Addresses the Spark part of #6863. The Flight and Trino work is separate.
Testing
TZ=UTCandTZ=Pacific/Honolulu.TZ=Pacific/Honolulu.git diff --checkpass.Local runs used Python 3.12.14, PyArrow 25.0.1, Java 17, and
spark.python.use.daemon=false. Three existing worker-based tests crash in this runner on Spark 4.0; the full node suite passes on 4.2. A broadertest_spark.pyrun also hit two staging mock assertions (filesystem=None) and missing optionalboto3, outside the changed paths.Memory comparison
500,000 rows x 16 float64 columns, 8 Arrow chunks, 10% nulls: a 62 MiB table. Median of 3 fresh processes per path, Spark 4.2.0 in
local[2], pandas 2.3.3. Arrow optimization enabled and fallback disabled for both paths; each DataFrame was materialized withcount().RSS was sampled every 5 ms during conversion and count. These figures exclude JVM memory and are specific to this synthetic input.
Release note
Spark materialization uses native Arrow ingestion to avoid the pandas copy and preserve Arrow column types.