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# [0.22.0](v0.21.0...v0.22.0) (2022-06-23) ### Bug Fixes * Add columns for user metadata in the tables ([#2760](#2760)) ([269055e](269055e)) * Add project columns in the SQL Registry ([#2784](#2784)) ([336fdd1](336fdd1)) * Add S3FS dependency (which Dask depends on for S3 files) ([#2701](#2701)) ([5d6fa94](5d6fa94)) * Bugfixes for how registry is loaded ([#2768](#2768)) ([ecb8b2a](ecb8b2a)) * Conversion of null timestamp from proto to python ([#2814](#2814)) ([cb23648](cb23648)) * Correct feature statuses during feature logging test ([#2709](#2709)) ([cebf609](cebf609)) * Dynamodb drops missing entities when batching ([#2802](#2802)) ([a2e9209](a2e9209)) * Enable faulthandler and disable flaky tests ([#2815](#2815)) ([4934d84](4934d84)) * Explicitly translate errors when instantiating the go fs ([#2842](#2842)) ([7a2c4cd](7a2c4cd)) * Fix broken roadmap links ([#2690](#2690)) ([b3ba8aa](b3ba8aa)) * Fix bugs in applying stream feature view and retrieving online features ([#2754](#2754)) ([d024e5e](d024e5e)) * Fix Feast UI failure with new way of specifying entities ([#2773](#2773)) ([0d1ac01](0d1ac01)) * Fix feature view __getitem__ for feature services ([#2769](#2769)) ([88cc47d](88cc47d)) * Fix issue when user specifies a port for feast ui ([#2692](#2692)) ([1c621fe](1c621fe)) * Fix on demand feature view crash from inference when it uses df.apply ([#2713](#2713)) ([c5539fd](c5539fd)) * Fix SparkKafkaProcessor `query_timeout` parameter ([#2789](#2789)) ([a8d282d](a8d282d)) * Fixed custom S3 endpoint read fail ([#2786](#2786)) ([6fec431](6fec431)) * Hydrate infra object in the sql registry proto() method ([#2782](#2782)) ([452dcd3](452dcd3)) * Implement apply_materialization and infra methods in sql registry ([#2775](#2775)) ([4ed107c](4ed107c)) * Minor refactor to format exception message ([#2764](#2764)) ([da763c6](da763c6)) * Prefer installing gopy from feast's fork as opposed to upstream ([#2839](#2839)) ([34c997d](34c997d)) * Python server is not correctly starting in integration tests ([#2706](#2706)) ([7583a0b](7583a0b)) * Random port allocation for python server in tests ([#2710](#2710)) ([dee8090](dee8090)) * Refactor test to reuse LocalRegistryFile ([#2763](#2763)) ([4339c0a](4339c0a)) * Support push sources in stream feature views ([#2704](#2704)) ([0d60eaa](0d60eaa)) * Update roadmap with stream feature view rfc ([#2824](#2824)) ([fc8f890](fc8f890)) * Update udf tests and add base functions to streaming fcos and fix some nonetype errors ([#2776](#2776)) ([331a214](331a214)) ### Features * Add file write_to_offline_store functionality ([#2808](#2808)) ([c0e2ad7](c0e2ad7)) * Add http endpoint to the Go feature server ([#2658](#2658)) ([3347a57](3347a57)) * Add StreamProcessor and SparkKafkaProcessor as contrib ([#2777](#2777)) ([83ab682](83ab682)) * Added Spark support for Delta and Avro ([#2757](#2757)) ([7d16516](7d16516)) * CLI interface for validation of logged features ([#2718](#2718)) ([c8b11b3](c8b11b3)) * Enable stream feature view materialization ([#2798](#2798)) ([a06700d](a06700d)) * Enable stream feature view materialization ([#2807](#2807)) ([7d57724](7d57724)) * Implement `offline_write_batch` for BigQuery and Snowflake ([#2840](#2840)) ([97444e4](97444e4)) * Offline push endpoint for pushing to offline stores ([#2837](#2837)) ([a88cd30](a88cd30)) * Push to Redshift batch source offline store directly ([#2819](#2819)) ([5748a8b](5748a8b)) * Scaffold for unified push api ([#2796](#2796)) ([1bd0930](1bd0930)) * SQLAlchemy Registry Support ([#2734](#2734)) ([b3fe39c](b3fe39c)) * Stream Feature View FCOS ([#2750](#2750)) ([0cf3c92](0cf3c92)) * Update stream fcos to have watermark and sliding interval ([#2765](#2765)) ([3256952](3256952)) * Validating logged features via Python SDK ([#2640](#2640)) ([2874fc5](2874fc5))
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