fix: Fix on demand feature view output in feast plan + Web UI crash #3057
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@@ Coverage Diff @@
## master #3057 +/- ##
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+ Coverage 67.23% 75.68% +8.45%
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Files 169 202 +33
Lines 14920 16859 +1939
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+ Hits 10031 12760 +2729
+ Misses 4889 4099 -790
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: achals, adchia The full list of commands accepted by this bot can be found here. The pull request process is described here
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franciscojavierarceo
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Aug 13, 2022
…east-dev#3057) * fix: Fix on demand feature view output in feast plan + Web UI crash with ODFV Signed-off-by: Danny Chiao <danny@tecton.ai> * lint Signed-off-by: Danny Chiao <danny@tecton.ai> * fix tests Signed-off-by: Danny Chiao <danny@tecton.ai> Signed-off-by: Danny Chiao <danny@tecton.ai> Signed-off-by: Francisco Javier Arceo <arceofrancisco@gmail.com>
adchia
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Aug 15, 2022
…3057) * fix: Fix on demand feature view output in feast plan + Web UI crash with ODFV Signed-off-by: Danny Chiao <danny@tecton.ai> * lint Signed-off-by: Danny Chiao <danny@tecton.ai> * fix tests Signed-off-by: Danny Chiao <danny@tecton.ai> Signed-off-by: Danny Chiao <danny@tecton.ai>
adchia
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Aug 15, 2022
## [0.22.4](v0.22.3...v0.22.4) (2022-08-15) ### Bug Fixes * Fix field mapping logic during feature inference ([#3067](#3067)) ([3668702](3668702)) * Fix incorrect on demand feature view diffing and improve Java tests ([#3074](#3074)) ([dd46d45](dd46d45)) * Fix on demand feature view output in feast plan + Web UI crash ([#3057](#3057)) ([a44fe66](a44fe66)) * Fix Spark offline store type conversion to arrow ([#3071](#3071)) ([8e6a6b1](8e6a6b1))
adchia
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Aug 15, 2022
…3057) * fix: Fix on demand feature view output in feast plan + Web UI crash with ODFV Signed-off-by: Danny Chiao <danny@tecton.ai> * lint Signed-off-by: Danny Chiao <danny@tecton.ai> * fix tests Signed-off-by: Danny Chiao <danny@tecton.ai> Signed-off-by: Danny Chiao <danny@tecton.ai>
adchia
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Aug 15, 2022
## [0.23.2](v0.23.1...v0.23.2) (2022-08-15) ### Bug Fixes * Fix field mapping logic during feature inference ([#3067](#3067)) ([eb885b1](eb885b1)) * Fix incorrect on demand feature view diffing and improve Java tests ([#3074](#3074)) ([0ff0ec4](0ff0ec4)) * Fix on demand feature view output in feast plan + Web UI crash ([#3057](#3057)) ([a32d247](a32d247)) * Fix Spark offline store type conversion to arrow ([#3071](#3071)) ([a49f70c](a49f70c))
kevjumba
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Aug 25, 2022
# [0.24.0](v0.23.0...v0.24.0) (2022-08-25) ### Bug Fixes * Check if on_demand_feature_views is an empty list rather than None for snowflake provider ([#3046](#3046)) ([9b05e65](9b05e65)) * FeatureStore.apply applies BatchFeatureView correctly ([#3098](#3098)) ([41be511](41be511)) * Fix Feast Java inconsistency with int64 serialization vs python ([#3031](#3031)) ([4bba787](4bba787)) * Fix feature service inference logic ([#3089](#3089)) ([4310ed7](4310ed7)) * Fix field mapping logic during feature inference ([#3067](#3067)) ([cdfa761](cdfa761)) * Fix incorrect on demand feature view diffing and improve Java tests ([#3074](#3074)) ([0702310](0702310)) * Fix Java helm charts to work with refactored logic. Fix FTS image ([#3105](#3105)) ([2b493e0](2b493e0)) * Fix on demand feature view output in feast plan + Web UI crash ([#3057](#3057)) ([bfae6ac](bfae6ac)) * Fix release workflow to release 0.24.0 ([#3138](#3138)) ([a69aaae](a69aaae)) * Fix Spark offline store type conversion to arrow ([#3071](#3071)) ([b26566d](b26566d)) * Fixing Web UI, which fails for the SQL registry ([#3028](#3028)) ([64603b6](64603b6)) * Force Snowflake Session to Timezone UTC ([#3083](#3083)) ([9f221e6](9f221e6)) * Make infer dummy entity join key idempotent ([#3115](#3115)) ([1f5b1e0](1f5b1e0)) * More explicit error messages ([#2708](#2708)) ([e4d7afd](e4d7afd)) * Parse inline data sources ([#3036](#3036)) ([c7ba370](c7ba370)) * Prevent overwriting existing file during `persist` ([#3088](#3088)) ([69af21f](69af21f)) * Register BatchFeatureView in feature repos correctly ([#3092](#3092)) ([b8e39ea](b8e39ea)) * Return an empty infra object from sql registry when it doesn't exist ([#3022](#3022)) ([8ba87d1](8ba87d1)) * Teardown tables for Snowflake Materialization testing ([#3106](#3106)) ([0a0c974](0a0c974)) * UI error when saved dataset is present in registry. ([#3124](#3124)) ([83cf753](83cf753)) * Update sql.py ([#3096](#3096)) ([2646a86](2646a86)) * Updated snowflake template ([#3130](#3130)) ([f0594e1](f0594e1)) ### Features * Add authentication option for snowflake connector ([#3039](#3039)) ([74c75f1](74c75f1)) * Add Cassandra/AstraDB online store contribution ([#2873](#2873)) ([feb6cb8](feb6cb8)) * Add Snowflake materialization engine ([#2948](#2948)) ([f3b522b](f3b522b)) * Adding saved dataset capabilities for Postgres ([#3070](#3070)) ([d3253c3](d3253c3)) * Allow passing repo config path via flag ([#3077](#3077)) ([0d2d951](0d2d951)) * Contrib azure provider with synapse/mssql offline store and Azure registry store ([#3072](#3072)) ([9f7e557](9f7e557)) * Custom Docker image for Bytewax batch materialization ([#3099](#3099)) ([cdd1b07](cdd1b07)) * Feast AWS Athena offline store (again) ([#3044](#3044)) ([989ce08](989ce08)) * Implement spark offline store `offline_write_batch` method ([#3076](#3076)) ([5b0cc87](5b0cc87)) * Initial Bytewax materialization engine ([#2974](#2974)) ([55c61f9](55c61f9)) * Refactor feature server helm charts to allow passing feature_store.yaml in environment variables ([#3113](#3113)) ([85ee789](85ee789))
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What this PR does / why we need it:
Before,
feast planwould always show a change in on demand feature views because the serialization isn't deterministic. Now we store the actual source code (which also can be used to display in the Web UI).Which issue(s) this PR fixes: