Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

fix: Implement apply_materialization and infra methods in sql registry #2775

Merged
merged 1 commit into from
Jun 9, 2022

Conversation

achals
Copy link
Member

@achals achals commented Jun 9, 2022

Signed-off-by: Achal Shah [email protected]

What this PR does / why we need it:

Which issue(s) this PR fixes:

Fixes #

@codecov-commenter
Copy link

codecov-commenter commented Jun 9, 2022

Codecov Report

Merging #2775 (31e3bc4) into master (ecb8b2a) will decrease coverage by 0.07%.
The diff coverage is 38.70%.

@@            Coverage Diff             @@
##           master    #2775      +/-   ##
==========================================
- Coverage   80.58%   80.50%   -0.08%     
==========================================
  Files         173      173              
  Lines       15140    15146       +6     
==========================================
- Hits        12201    12194       -7     
- Misses       2939     2952      +13     
Flag Coverage Δ
integrationtests 70.41% <32.25%> (-0.34%) ⬇️
unittests 59.69% <38.70%> (-0.03%) ⬇️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files Coverage Δ
sdk/python/feast/infra/registry_stores/sql.py 74.88% <38.70%> (-2.08%) ⬇️
sdk/python/tests/utils/online_read_write_test.py 93.54% <0.00%> (-6.46%) ⬇️
...ion/registration/test_stream_feature_view_apply.py 92.85% <0.00%> (-3.58%) ⬇️
.../integration/online_store/test_online_retrieval.py 96.84% <0.00%> (-3.16%) ⬇️
...ython/feast/embedded_go/online_features_service.py 89.14% <0.00%> (-0.78%) ⬇️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update ecb8b2a...31e3bc4. Read the comment docs.

Copy link
Collaborator

@kevjumba kevjumba left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

/lgtm

@feast-ci-bot
Copy link
Collaborator

[APPROVALNOTIFIER] This PR is APPROVED

This pull-request has been approved by: achals, kevjumba

The full list of commands accepted by this bot can be found here.

The pull request process is described here

Needs approval from an approver in each of these files:

Approvers can indicate their approval by writing /approve in a comment
Approvers can cancel approval by writing /approve cancel in a comment

@kevjumba kevjumba added lgtm and removed lgtm labels Jun 9, 2022
@feast-ci-bot feast-ci-bot merged commit 4ed107c into feast-dev:master Jun 9, 2022
@achals achals deleted the achal/fs-fixes branch June 10, 2022 04:40
achals pushed a commit that referenced this pull request Jun 21, 2022
# [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))
kevjumba pushed a commit that referenced this pull request Jun 23, 2022
# [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))
kevjumba pushed a commit that referenced this pull request Jun 24, 2022
# [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))
felixwang9817 pushed a commit that referenced this pull request Jun 24, 2022
# [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))
felixwang9817 pushed a commit that referenced this pull request Jun 25, 2022
# [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))
kevjumba pushed a commit that referenced this pull request 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 this pull request 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 this pull request 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)
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

Successfully merging this pull request may close these issues.

4 participants