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

feat: CLI interface for validation of logged features #2718

Merged
merged 9 commits into from
May 20, 2022

Conversation

pyalex
Copy link
Collaborator

@pyalex pyalex commented May 19, 2022

What this PR does / why we need it:

Validation of logged features can be called via CLI interface:

feast validate --feature-service <service_name> --reference <reference_name> <start_ts> <end_ts>

This PR also includes storing / retrieving of validation reference to / from the registry.

Which issue(s) this PR fixes:

Fixes #

@codecov-commenter
Copy link

codecov-commenter commented May 19, 2022

Codecov Report

Merging #2718 (14ad6cd) into master (3347a57) will decrease coverage by 0.16%.
The diff coverage is 69.31%.

@@            Coverage Diff             @@
##           master    #2718      +/-   ##
==========================================
- Coverage   80.26%   80.09%   -0.17%     
==========================================
  Files         167      167              
  Lines       14154    14311     +157     
==========================================
+ Hits        11361    11463     +102     
- Misses       2793     2848      +55     
Flag Coverage Δ
integrationtests 70.33% <68.57%> (-0.39%) ⬇️
unittests 58.29% <30.11%> (-0.33%) ⬇️

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

Impacted Files Coverage Δ
sdk/python/feast/infra/passthrough_provider.py 100.00% <ø> (ø)
.../integration/online_store/test_universal_online.py 90.46% <ø> (-0.04%) ⬇️
setup.py 0.00% <ø> (ø)
sdk/python/feast/registry.py 80.90% <37.03%> (-3.07%) ⬇️
sdk/python/feast/cli.py 39.03% <40.00%> (+0.06%) ⬆️
sdk/python/feast/saved_dataset.py 77.07% <65.95%> (-5.99%) ⬇️
sdk/python/feast/errors.py 71.17% <66.66%> (-0.09%) ⬇️
sdk/python/feast/feature_store.py 87.18% <73.33%> (-0.16%) ⬇️
sdk/python/feast/dqm/profilers/profiler.py 80.76% <75.00%> (-0.49%) ⬇️
sdk/python/feast/diff/registry_diff.py 69.06% <100.00%> (+0.22%) ⬆️
... and 15 more

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 3347a57...14ad6cd. Read the comment docs.

Signed-off-by: Oleksii Moskalenko <[email protected]>
Signed-off-by: Oleksii Moskalenko <[email protected]>
Signed-off-by: Oleksii Moskalenko <[email protected]>
Signed-off-by: Oleksii Moskalenko <[email protected]>
Signed-off-by: Oleksii Moskalenko <[email protected]>
Signed-off-by: Oleksii Moskalenko <[email protected]>
Signed-off-by: Oleksii Moskalenko <[email protected]>
@pyalex pyalex force-pushed the persist-validation-object branch from 27a85eb to 301f61e Compare May 20, 2022 00:57
@pyalex pyalex changed the title [WIP] feat: CLI interface for validation of logged features feat: CLI interface for validation of logged features May 20, 2022
@@ -54,7 +54,6 @@ message FeatureServiceMeta {

message LoggingConfig {
float sample_rate = 1;
google.protobuf.Duration partition_interval = 2;
Copy link
Member

Choose a reason for hiding this comment

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

Do we need to reserve #2 or does it it not matter since it's never been used by anyone?

Copy link
Collaborator Author

Choose a reason for hiding this comment

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

It's never been used.

@@ -30,6 +30,7 @@ import "feast/core/OnDemandFeatureView.proto";
import "feast/core/RequestFeatureView.proto";
import "feast/core/DataSource.proto";
import "feast/core/SavedDataset.proto";
import "feast/core/ValidationProfile.proto";
import "google/protobuf/timestamp.proto";

// Next id: 13
Copy link
Member

Choose a reason for hiding this comment

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

Update 13 -> 14

Copy link
Collaborator Author

Choose a reason for hiding this comment

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

Fixed

Comment on lines +144 to +145
# keep only the code and drop context for now
# ToDo (pyalex): include some context, but not all (dill tries to pull too much)
Copy link
Member

Choose a reason for hiding this comment

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

Curious what this means?

Copy link
Collaborator Author

Choose a reason for hiding this comment

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

So right now for easier deserialization I drop the whole context of user defined function and keep only its code. The opposite of that (what dill does by default) is include all globals and refer the original module, which won't be available at the runtime. But maybe in future somebody would want to use at least function clojure, so we might want to support that.

_profile: Optional[Profile] = None
_dataset: Optional[SavedDataset] = None

def __init__(self, name: str, dataset_name: str, profiler: Profiler):
Copy link
Member

Choose a reason for hiding this comment

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

We should add description and tags here, since this is effectively a new top level object in feast?

@@ -64,6 +64,7 @@
"proto-plus<1.19.7",
"pyarrow>=4,<7",
"pydantic>=1,<2",
"pygments==2.12.0",
Copy link
Member

Choose a reason for hiding this comment

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

What do we need this for? Should it be unpinned?

Copy link
Collaborator Author

Choose a reason for hiding this comment

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

this is for coloring the output in CLI

Copy link
Collaborator Author

Choose a reason for hiding this comment

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

More specifically it highlights the code. Since we printing out some JSON (when validation failed), it makes it more readable.

Signed-off-by: Oleksii Moskalenko <[email protected]>
Copy link
Member

@achals achals 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, pyalex

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

@feast-ci-bot feast-ci-bot merged commit c8b11b3 into feast-dev:master May 20, 2022
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