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feat: CLI interface for validation of logged features #2718
feat: CLI interface for validation of logged features #2718
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Codecov Report
@@ 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
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Continue to review full report at Codecov.
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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]>
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Signed-off-by: Oleksii Moskalenko <[email protected]>
Signed-off-by: Oleksii Moskalenko <[email protected]>
Signed-off-by: Oleksii Moskalenko <[email protected]>
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@@ -54,7 +54,6 @@ message FeatureServiceMeta { | |||
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message LoggingConfig { | |||
float sample_rate = 1; | |||
google.protobuf.Duration partition_interval = 2; |
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Do we need to reserve #2 or does it it not matter since it's never been used by anyone?
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It's never been used.
protos/feast/core/Registry.proto
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@@ -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"; | |||
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// Next id: 13 |
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Update 13 -> 14
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Fixed
# keep only the code and drop context for now | ||
# ToDo (pyalex): include some context, but not all (dill tries to pull too much) |
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Curious what this means?
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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.
sdk/python/feast/saved_dataset.py
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_profile: Optional[Profile] = None | ||
_dataset: Optional[SavedDataset] = None | ||
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def __init__(self, name: str, dataset_name: str, profiler: Profiler): |
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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", |
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What do we need this for? Should it be unpinned?
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this is for coloring the output in CLI
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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]>
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/lgtm
[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 |
# [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))
# [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))
# [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))
# [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))
# [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))
# [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)
# [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)
# [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)
What this PR does / why we need it:
Validation of logged features can be called via CLI interface:
This PR also includes storing / retrieving of validation reference to / from the registry.
Which issue(s) this PR fixes:
Fixes #