Repository navigation
feat: Add Trino compute engine for batch retrieval and materialization - #6898
Conversation
|
@ntkathole hopefully this helps! |
|
Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## master #6898 +/- ##
=======================================
Coverage 49.92% 49.92%
=======================================
Files 443 443
Lines 55511 55503 -8
Branches 8096 8096
=======================================
- Hits 27714 27711 -3
+ Misses 25874 25869 -5
Partials 1923 1923
*This pull request uses carry forward flags. Click here to find out more.
Continue to review full report in Codecov by Harness.
🚀 New features to boost your workflow:
|
6854b37 to
2a0b1c8
Compare
| logger = logging.getLogger(__name__) | ||
|
|
||
|
|
||
| class TrinoFeatureBuilder(FeatureBuilder): |
There was a problem hiding this comment.
Blocker: entity_df is silently ignored for historical retrieval.
This class inherits the base _build() which only creates a JoinNode when there are upstream input_nodes (multi-FeatureView DAGs). For the common single-FeatureView case, the DAG is:
ReadNode -> FilterNode -> Agg/Dedup -> WriteNode — no JoinNode is ever created.
This means get_historical_features(entity_df=..., features=[...]) returns the full feature table instead of the PIT-correct subset matching the entity_df.
How Flink solves this: FlinkFeatureBuilder overrides _build() and adds:
if self._should_join_entity_df():
last_node = self.build_join_node(view, [last_node])How Spark solves this: SparkReadNode delegates to create_offline_store_retrieval_job() which handles entity_df at the offline store level.
Trino does neither. Please override _build() here (like Flink) to inject the entity_df join step for HistoricalRetrievalTask.
Note: the component test test_trino_compute_engine_get_historical_features hides this because mock_client.execute_query returns canned data — it never validates the generated SQL includes entity_df columns.
|
|
||
| cte_name = f"_dedup_{self.name.replace(':', '_')}" | ||
| query = ( | ||
| f"SELECT * FROM (\n" |
There was a problem hiding this comment.
Regression: _feast_rn column leaks into output.
This outer SELECT * includes the _feast_rn ROW_NUMBER column in the CTE output. Downstream nodes and the final result schema will contain this spurious column.
How peer engines handle this:
- Spark
SparkDedupNode:.drop("row_num")— explicitly removes the internal column - Flink
FlinkDedupNode: UsesSELECT {explicit_column_list}(excludesDEDUP_ROW_NUMBER) +_drop_internal_columns()in the output node
Fix: Either wrap in an outer CTE that lists all columns except _feast_rn, or track the upstream column list in TrinoQueryPlan.columns and use it here.
| try: | ||
| self.client.execute_query(create_sql) | ||
| # Step 2: Atomic swap | ||
| self.client.execute_query(f"DROP TABLE IF EXISTS {target_table}") |
There was a problem hiding this comment.
Data loss risk: non-atomic swap + destructive offline write.
Two issues here:
1. Non-atomic swap loses data if RENAME fails:
This line DROPs the target table before the RENAME. If the RENAME on line 617 fails (e.g., permission error, catalog issue), the original target is already gone. The except block then also drops the staging table — all data is permanently lost.
Fix: Reverse the order: RENAME target to backup first, then RENAME staging to target, then DROP backup.
2. Regression vs peers: offline write replaces entire table instead of appending:
- Spark uses
write.mode("append").save(path)— preserves existing data - Flink uses
offline_store.offline_write_batch()— delegates to store's append logic - Trino uses DROP + CREATE TABLE AS — destroys ALL existing offline data
Every materialize() call for a feature view with offline=True wipes all previously materialized data.
Fix: Use INSERT INTO target_table (SELECT ... FROM ...) for appending, or implement a time-partitioned merge. At minimum, document this as a destructive operation.
| f"{quote_identifier(ts_col)} >= {quote_identifier(ENTITY_TS_ALIAS)} - INTERVAL '{ttl_seconds}' SECOND" | ||
| ) | ||
| if self.filter_condition: | ||
| conditions.append(f"({self.filter_condition})") |
There was a problem hiding this comment.
SQL injection surface: filter_condition is injected directly into SQL with f"({self.filter_condition})" — no sanitization or parameterization. While typically developer-provided, a malformed string will execute arbitrary Trino SQL.
At minimum, add a docstring noting that filter_condition must be trusted input.
| try: | ||
| builder = TrinoFeatureBuilder( | ||
| registry=registry, | ||
| client=self.client, # type: ignore[arg-type] |
There was a problem hiding this comment.
self.client can be None here (if host/catalog/user aren't configured and offline store isn't TrinoOfflineStoreConfig). The # type: ignore suppresses the type error but None will cause a confusing runtime crash inside TrinoFeatureBuilder.
Please add an explicit guard:
if self.client is None:
raise RuntimeError(
"Trino client is not configured. Set host, catalog, and user "
"in batch_engine config or use a TrinoOfflineStoreConfig."
)| @@ -0,0 +1,236 @@ | |||
| from datetime import datetime, timedelta, timezone | |||
There was a problem hiding this comment.
Missing: integration tests against a real Trino cluster.
The component and unit tests use mocked Trino clients throughout, which is good for unit-level coverage but misses:
- SQL compilation correctness — generated CTEs are never executed against a Trino parser/planner
- entity_df upload + PIT join —
upload_pandas_dataframe_to_trinois mocked - Streaming batch correctness —
stream_trino_arrow_batchesusescursor._query(private API), never tested against the real client - Offline staging swap atomicity — the DROP/RENAME sequence is never tested for failure modes
- Type mapping round-trips —
from_feast_to_trino_typeandtrino_to_pa_value_typeend-to-end
Other engines have integration suites under tests/integration/compute_engines/. Consider adding a Trino integration test (e.g., using Testcontainers with trinodb/trino Docker image) that validates at least:
- Historical retrieval with entity_df produces PIT-correct results
- Materialization writes correct data to online + offline stores
- Streaming batch size respects the config
Also: test_trino_compute_engine_get_historical_features doesn't verify the generated SQL includes entity_df join conditions — it should assert entity columns appear in the compiled query.
| return True | ||
| if isinstance(value, (list, tuple, np.ndarray)): | ||
| return False | ||
| try: |
There was a problem hiding this comment.
stream_trino_arrow_batches uses private APIs: client._get_cursor() and cursor._query. These are internal to trino-python-client and can break on library upgrades.
Consider using cursor.description (public API) for column metadata instead of cursor._query.columns, and adding a version pin on the trino dependency.
|
|
||
| cte_name = f"_pit_join_{self.name.replace(':', '_')}" | ||
| query = ( | ||
| f"SELECT _entity.*, {latest_cte}.*\n" |
There was a problem hiding this comment.
Minor: SELECT _entity.*, {latest_cte}.* will produce duplicate columns when entity_df and the feature table share join key columns (e.g., driver_id). Downstream Arrow/Pandas conversion may fail or silently rename them.
Consider qualifying the feature-side SELECT to exclude join keys already present from _entity.*.
| def _execute_offline_write( | ||
| self, plan: TrinoQueryPlan, context: ExecutionContext | ||
| ) -> None: | ||
| """Execute materialization to an offline table. |
There was a problem hiding this comment.
@ntkathole I implemented 3 methods here, append, merge & overwrite
|
@ntkathole ready for review! |
Signed-off-by: Marcus Rosti <rostimarcus@gmail.com>
Signed-off-by: Marcus Rosti <rostimarcus@gmail.com>
Signed-off-by: Marcus Rosti <rostimarcus@gmail.com>
Signed-off-by: Marcus Rosti <rostimarcus@gmail.com>
Signed-off-by: Marcus Rosti <rostimarcus@gmail.com>
Signed-off-by: Marcus Rosti <rostimarcus@gmail.com>
Signed-off-by: Marcus Rosti <rostimarcus@gmail.com>
Signed-off-by: Marcus Rosti <rostimarcus@gmail.com>
Signed-off-by: Marcus Rosti <rostimarcus@gmail.com>
Signed-off-by: Marcus Rosti <rostimarcus@gmail.com>
fa6d4e2 to
ecb671a
Compare
|
Thank you @Marcus-Rosti |
# [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 / why we need it:
Adds Trino as a native Feast compute engine (
type: trino.engineortype: trino), enabling DAG-based historical feature retrieval and materialization directly via Trino SQL without requiring Spark or Ray:TrinoTransformationsupporting SQL templates ({}) and callable UDFs.Which issue(s) this PR fixes:
Checks
git commit -s)Testing Strategy