v0.23.2

0.23.2 (2022-08-15)

Bug Fixes

• Fix field mapping logic during feature inference (#3067) (eb885b1)
• Fix incorrect on demand feature view diffing and improve Java tests (#3074) (0ff0ec4)
• Fix on demand feature view output in feast plan + Web UI crash (#3057) (a32d247)
• Fix Spark offline store type conversion to arrow (#3071) (a49f70c)

v0.22.4

0.22.4 (2022-08-15)

Bug Fixes

• Fix field mapping logic during feature inference (#3067) (3668702)
• Fix incorrect on demand feature view diffing and improve Java tests (#3074) (dd46d45)
• Fix on demand feature view output in feast plan + Web UI crash (#3057) (a44fe66)
• Fix Spark offline store type conversion to arrow (#3071) (8e6a6b1)

v0.23.1

0.23.1 (2022-08-10)

Bug Fixes

• Check if on_demand_feature_views is an empty list rather than None for snowflake provider (#3046) (6af401f)
• Fix Feast Java inconsistency with int64 serialization vs python (#3031) (f340aeb)
• Fixing Web UI, which fails for the SQL registry (#3028) (d584ecd)
• More explicit error messages (#2708) (ca48963)
• Return an empty infra object from sql registry when it doesn't exist (#3022) (9a64e77)

v0.22.3

0.22.3 (2022-08-10)

Bug Fixes

• Check if on_demand_feature_views is an empty list rather than None for snowflake provider (#3046) (67af727)
• Fixing Web UI, which fails for the SQL registry (#3028) (56d645c)
• More explicit error messages (#2708) (93c1c15)
• Move gcp back to 1.47.0 since grpcio-tools 1.48.0 got yanked from pypi (#2990) (f7e44da)
• Return an empty infra object from sql registry when it doesn't exist (#3022) (329bc47)

v0.23.0

0.23.0 (2022-08-02)

This release adds many bug fixes as well as new functionality:

• Support for a Snowflake online store
• A batch materialization engine interface, which now makes materialization a pluggable component. There are two reference implementations already (local, which was the former default, and an AWS Lambda engine which scales up materialization with Lambda)
• A to_remote_storage method in RetrievalJob (the output of get_historical_features). This makes methods that were already implemented (e.g. to_gcs or to_s3) now visible at the interface level. The Lambda materialization engine implementations use these methods to unload data to a bucket before scalably loading this data into the online store.
• Improvements to Feast Web UI + SavedDatasets

Features

• Add an experimental lambda-based materialization engine (#2923) (6f79069)
• Add column reordering to write_to_offline_store (#2876) (8abc2ef)
• Add custom JSON table tab w/ formatting (#2851) (0159f38)
• Add CustomSourceOptions to SavedDatasetStorage (#2958) (23c09c8)
• Add Go option to feast serve command (#2966) (a36a695)
• Add interfaces for batch materialization engine (#2901) (38b28ca)
• Add pages for individual Features to the Feast UI (#2850) (9b97fca)
• Add snowflake online store (#2902) (f758f9e), closes #2903
• Add Snowflake online store (again) (#2922) (2ef71fc), closes #2903
• Add to_remote_storage method to RetrievalJob (#2916) (109ee9c)
• Support retrieval from multiple feature views with different join keys (#2835) (056cfa1)

Bug Fixes

• Add dummy alias to pull_all_from_table_or_query (#2956) (5e45228)
• Bump version of Guava to mitigate cve (#2896) (51df8be)
• Change numpy version on setup.py and upgrade it to resolve dependabot warning (#2887) (80ea7a9)
• Change the feature store plan method to public modifier (#2904) (0ec7d1a)
• Deprecate 3.7 wheels and fix verification workflow (#2934) (040c910)
• Do not allow same column to be reused in data sources (#2965) (661c053)
• Fix build wheels workflow to install apache-arrow correctly (#2932) (bdeb4ae)
• Fix file offline store logic for feature views without ttl (#2971) (26f6b69)
• Fix grpc and update protobuf (#2894) (86e9efd)
• Fix night ci syntax error and update readme (#2935) (b917540)
• Fix nightly ci again (#2939) (1603c9e)
• Fix the go build and use CgoArrowAllocator to prevent incorrect garbage collection (#2919) (130746e)
• Fix typo in CONTRIBUTING.md (#2955) (8534f69)
• Fixing broken links to feast documentation on java readme and contribution (#2892) (d044588)
• Fixing Spark min / max entity df event timestamps range return order (#2735) (ac55ce2)
• Move gcp back to 1.47.0 since grpcio-tools 1.48.0 got yanked from pypi (#2990) (fc447eb)
• Refactor testing and sort out unit and integration tests (#2975) (2680f7b)
• Remove hard-coded integration test setup for AWS & GCP (#2970) (e4507ac)
• Resolve small typo in README file (#2930) (16ae902)
• Revert "feat: Add snowflake online store (#2902)" (#2909) (38fd001)
• Snowflake_online_read fix (#2988) (651ce34)
• Spark source support table with pattern "db.table" (#2606) (3ce5139), closes #2605
• Switch mysql log string to use regex (#2976) (5edf4b0)
• Update gopy to point to fork to resolve github annotation errors. (#2940) (ba2dcf1)
• Version entity serialization mechanism and fix issue with int64 vals (#2944) (d0d27a3)

v0.22.2

0.22.2 (2022-07-29)

This patch release reverts an accidental removal of Python 3.7 support in 0.22.1.

Reverts

• ci: "Fix night ci syntax error and update readme (#2935)" (31f54c8)
• ci: fix: Fix nightly ci again (#2939). This reverts commit c363619. (33cbaeb)
• ci: Revert "ci: Add a nightly CI job for integration tests (#2652)" (d4bb394)
• ci: Revert "fix: Deprecate 3.7 wheels and fix verification workflow (#2934)" (efadb22)
• Revert "fix: Change numpy version on setup.py and upgrade it to resolve dependabot warning (#2887)" (87190cb)

v0.22.1

0.22.1 (2022-07-19)

Bug Fixes

• Change numpy version on setup.py and upgrade it to resolve dependabot warning (#2887) (b9190b9)
• Change the feature store plan method to public modifier (#2904) (568058a)
• Deprecate 3.7 wheels and fix verification workflow (#2934) (146e36d)
• Fix build wheels workflow to install apache-arrow correctly (#2932) (4b69e0e)
• Fix grpc and update protobuf (#2894) (f726c96)
• Fix night ci syntax error and update readme (#2935) (b35553b)
• Fix nightly ci again (#2939) (c363619)
• Fix the go build and use CgoArrowAllocator to prevent incorrect garbage collection (#2919) (f4f4894)
• Fixing broken links to feast documentation on java readme and contribution (#2892) (a45e10a)
• Resolve small typo in README file (#2930) (9840c1b)
• Update gopy to point to fork to resolve github annotation errors. (#2940) (9b9fbbe)

v0.22.0

0.22.0 (2022-06-29)

Overview

This release adds many bug fixes, as well as some new functionality to help with realtime use cases:

• SQLAlchemy backed registry (as an alternative to a file registry) (documentation)
• A universal push API so users can push (streaming) feature values to both offline / online stores (documentation)
• [Alpha] High level objects to define stream transformations. There are contrib components to help pull registered stream transformations, execute them, and push transformed feature values to the online store. (tutorial)
• [Alpha] Logging served feature values (from the Go feature server) to the offline store and validating against Great Expectations suite using feast validate (tutorial)

Features

• Add feast repo-upgrade for automated repo upgrades (#2733) (a3304d4)
• Add file write_to_offline_store functionality (#2808) (c0e2ad7)
• Add http endpoint to the Go feature server (#2658) (3347a57)
• Add simple TLS support in Go RedisOnlineStore (#2860) (521488d)
• Add StreamProcessor and SparkKafkaProcessor as contrib (#2777) (83ab682)
• Added Spark support for Delta and Avro (#2757) (7d16516)
• CLI interface for validation of logged features (#2718) (c8b11b3)
• Enable stream feature view materialization (#2798) (a06700d)
• Enable stream feature view materialization (#2807) (7d57724)
• Implement offline_write_batch for BigQuery and Snowflake (#2840) (97444e4)
• Offline push endpoint for pushing to offline stores (#2837) (a88cd30)
• Push to Redshift batch source offline store directly (#2819) (5748a8b)
• Scaffold for unified push api (#2796) (1bd0930)
• SQLAlchemy Registry Support (#2734) (b3fe39c)
• Stream Feature View FCOS (#2750) (0cf3c92)
• Update stream fcos to have watermark and sliding interval (#2765) (3256952)
• Validating logged features via Python SDK (#2640) (2874fc5)

Bug Fixes

• Add columns for user metadata in the tables (#2760) (269055e)
• Add project columns in the SQL Registry (#2784) (336fdd1)
• Add S3FS dependency (which Dask depends on for S3 files) (#2701) (5d6fa94)
• Bugfixes for how registry is loaded (#2768) (ecb8b2a)
• Conversion of null timestamp from proto to python (#2814) (cb23648)
• Correct feature statuses during feature logging test (#2709) (cebf609)
• Correctly generate projects-list.json when calling feast ui and using postgres as a source (#2845) (bee8076)
• Dynamodb drops missing entities when batching (#2802) (a2e9209)
• Enable faulthandler and disable flaky tests (#2815) (4934d84)
• Explicitly translate errors when instantiating the go fs (#2842) (7a2c4cd)
• Fix broken roadmap links (#2690) (b3ba8aa)
• Fix bugs in applying stream feature view and retrieving online features (#2754) (d024e5e)
• Fix Feast UI failure with new way of specifying entities (#2773) (0d1ac01)
• Fix feature view getitem for feature services (#2769) (88cc47d)
• Fix issue when user specifies a port for feast ui (#2692) (1c621fe)
• Fix macos wheel version for 310 and also checkout edited go files (#2890) (bdf170f)
• Fix on demand feature view crash from inference when it uses df.apply (#2713) (c5539fd)
• Fix SparkKafkaProcessor query_timeout parameter (#2789) (a8d282d)
• Fix workflow syntax error (#2869) (fae45a1)
• Fixed custom S3 endpoint read fail (#2786) (6fec431)
• Go install gopy instead using go mod tidy (#2863) (2f2b519)
• Hydrate infra object in the sql registry proto() method (#2782) (452dcd3)
• Implement apply_materialization and infra methods in sql registry (#2775) (4ed107c)
• Minor refactor to format exception message (#2764) (da763c6)
• Prefer installing gopy from feast's fork as opposed to upstream (#2839) (34c997d)
• Python server is not correctly starting in integration tests (#2706) ([7583a0b](7583a0b...

v0.21.3

0.21.3 (2022-06-13)

Bug Fixes

• Change online UI schema field to be optional (#2766) (e6edb58), closes #2719
• Made URL to registry relative, fixes #2731 (#2753) (a66aea8)

v0.21.2

0.21.2 (2022-05-17)

Bug Fixes

• Correct feature statuses during feature logging test (#2709) (c529d58)
• Fix on demand feature view crash from inference when it uses df.apply (#2713) (0f6da6c)
• Random port allocation for python server in tests (#2710) (e714b16)