feat: Enable stream feature view materialization #2798
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Signed-off-by: Felix Wang <wangfelix98@gmail.com>
Signed-off-by: Felix Wang <wangfelix98@gmail.com>
Signed-off-by: Felix Wang <wangfelix98@gmail.com>
… SFV Signed-off-by: Felix Wang <wangfelix98@gmail.com>
Signed-off-by: Felix Wang <wangfelix98@gmail.com>
kevjumba
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Jun 15, 2022
sdk/python/feast/inference.py
Outdated
| @@ -99,6 +99,10 @@ def update_feature_views_with_inferred_features_and_entities( | |||
| other columns except designated timestamp columns are considered to be feature columns. If | |||
| the feature view already has features, feature inference is skipped. | |||
|
|
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| Note that this inference logic currently does not take transformations into account. For | |||
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Probably clarify transformations and aggregations.
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Like clarify that stream feature views doesn't take into account udf or aggregations(transformations is a little ambiguous)
| @@ -490,7 +490,7 @@ def test_online_retrieval( | |||
| ) | |||
|
|
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| entity_sample = datasets.orders_df.sample(10)[ | |||
| ["customer_id", "driver_id", "order_id", "event_timestamp"] | |||
| ["customer_id", "driver_id", "order_id", "origin_id", "event_timestamp"] | |||
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is this relevant to this pr or is it just a datasource that we forgot to include in the test.
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this is relevant since we now want to retrieve features from the pushable_location_stats SFV, which requires a new join key (specifically a location_id), so when we sample, we also need to pull a location_id (in this case the column has been renamed to origin_id, so we pull that column)
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: felixwang9817, kevjumba The full list of commands accepted by this bot can be found here. The pull request process is described here
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Signed-off-by: Felix Wang <wangfelix98@gmail.com>
Codecov Report
@@ Coverage Diff @@
## master #2798 +/- ##
===========================================
- Coverage 80.45% 59.67% -20.79%
===========================================
Files 173 172 -1
Lines 15254 15311 +57
===========================================
- Hits 12273 9137 -3136
- Misses 2981 6174 +3193
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Continue to review full report at Codecov.
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Signed-off-by: Felix Wang <wangfelix98@gmail.com>
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)" This reverts commit a06700d. Signed-off-by: Felix Wang <wangfelix98@gmail.com>
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# [0.22.0](v0.21.0...v0.22.0) (2022-06-21) ### 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)) * 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)) * 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 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)) * 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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# [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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# [0.22.0](v0.21.0...v0.22.0) (2022-06-24) ### 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)) * Revert "chore(release): release 0.22.0" ([#2852](#2852)) ([e6a4636](e6a4636)) * 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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# [0.22.0](v0.21.0...v0.22.0) (2022-06-24) ### 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)) * Correctly generate projects-list.json when calling feast ui and using postgres as a source ([#2845](#2845)) ([bee8076](bee8076)) * 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)) * Revert "chore(release): release 0.22.0" ([#2852](#2852)) ([e6a4636](e6a4636)) * 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 feast repo-upgrade for automated repo upgrades ([#2733](#2733)) ([a3304d4](a3304d4)) * 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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# [0.22.0](v0.21.0...v0.22.0) (2022-06-25) ### 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)) * Correctly generate projects-list.json when calling feast ui and using postgres as a source ([#2845](#2845)) ([bee8076](bee8076)) * 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)) * Revert "chore(release): release 0.22.0" ([#2852](#2852)) ([e6a4636](e6a4636)) * 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 feast repo-upgrade for automated repo upgrades ([#2733](#2733)) ([a3304d4](a3304d4)) * 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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Jun 28, 2022
# [0.22.0](v0.21.0...v0.22.0) (2022-06-28) ### 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)) * Correctly generate projects-list.json when calling feast ui and using postgres as a source ([#2845](#2845)) ([bee8076](bee8076)) * 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)) * Go install gopy instead using go mod tidy ([#2863](#2863)) ([2f2b519](2f2b519)) * 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)) * Revert "chore(release): release 0.22.0" ([#2852](#2852)) ([e6a4636](e6a4636)) * 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 feast repo-upgrade for automated repo upgrades ([#2733](#2733)) ([a3304d4](a3304d4)) * 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)) ### Reverts * Revert "Create main.yml" (#2867) ([47922a4](47922a4)), closes [#2867](#2867)
kevjumba
pushed a commit
that referenced
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Jun 28, 2022
# [0.22.0](v0.21.0...v0.22.0) (2022-06-28) ### 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)) * Correctly generate projects-list.json when calling feast ui and using postgres as a source ([#2845](#2845)) ([bee8076](bee8076)) * 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)) * Fix workflow syntax error ([#2869](#2869)) ([fae45a1](fae45a1)) * Fixed custom S3 endpoint read fail ([#2786](#2786)) ([6fec431](6fec431)) * Go install gopy instead using go mod tidy ([#2863](#2863)) ([2f2b519](2f2b519)) * 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)) * Revert "chore(release): release 0.22.0" ([#2852](#2852)) ([e6a4636](e6a4636)) * Support push sources in stream feature views ([#2704](#2704)) ([0d60eaa](0d60eaa)) * Sync publish and build_wheels workflow to fix verify wheel error. ([#2871](#2871)) ([b0f050a](b0f050a)) * 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 feast repo-upgrade for automated repo upgrades ([#2733](#2733)) ([a3304d4](a3304d4)) * 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)) ### Reverts * Revert "chore(release): release 0.22.0" (#2870) ([ffb0892](ffb0892)), closes [#2870](#2870) * Revert "Create main.yml" (#2867) ([47922a4](47922a4)), closes [#2867](#2867)
kevjumba
pushed a commit
that referenced
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Jun 29, 2022
# [0.22.0](v0.21.0...v0.22.0) (2022-06-29) ### 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)) * Correctly generate projects-list.json when calling feast ui and using postgres as a source ([#2845](#2845)) ([bee8076](bee8076)) * 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 macos wheel version for 310 and also checkout edited go files ([#2890](#2890)) ([bdf170f](bdf170f)) * 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)) * Fix workflow syntax error ([#2869](#2869)) ([fae45a1](fae45a1)) * Fixed custom S3 endpoint read fail ([#2786](#2786)) ([6fec431](6fec431)) * Go install gopy instead using go mod tidy ([#2863](#2863)) ([2f2b519](2f2b519)) * 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)) * Revert "chore(release): release 0.22.0" ([#2852](#2852)) ([e6a4636](e6a4636)) * Stop running go mod tidy in setup.py ([#2877](#2877)) ([676ecbb](676ecbb)), closes [/github.com/pypa/cibuildwheel/issues/189#issuecomment-549933912](https://github.com//github.com/pypa/cibuildwheel/issues/189/issues/issuecomment-549933912) * Support push sources in stream feature views ([#2704](#2704)) ([0d60eaa](0d60eaa)) * Sync publish and build_wheels workflow to fix verify wheel error. ([#2871](#2871)) ([b0f050a](b0f050a)) * 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 feast repo-upgrade for automated repo upgrades ([#2733](#2733)) ([a3304d4](a3304d4)) * Add file write_to_offline_store functionality ([#2808](#2808)) ([c0e2ad7](c0e2ad7)) * Add http endpoint to the Go feature server ([#2658](#2658)) ([3347a57](3347a57)) * Add simple TLS support in Go RedisOnlineStore ([#2860](#2860)) ([521488d](521488d)) * 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)) ### Reverts * Revert "chore(release): release 0.22.0" (#2891) ([e5abf58](e5abf58)), closes [#2891](#2891) * Revert "chore(release): release 0.22.0" (#2870) ([ffb0892](ffb0892)), closes [#2870](#2870) * Revert "Create main.yml" (#2867) ([47922a4](47922a4)), closes [#2867](#2867)
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What this PR does / why we need it: This PR enables materialization for stream feature views.
Which issue(s) this PR fixes:
Fixes #