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feat: Implement spark offline store offline_write_batch method #3076

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merged 6 commits into from Aug 18, 2022

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niklasvm
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What this PR does / why we need it:

  • Create offline_write_batch method for spark offline store
  • Replace spark testing data sets with a file-based parquet format instead of a temporary view

This PR resolves a further set of failing integration tests.

Which issue(s) this PR fixes:

None

@niklasvm niklasvm changed the title Add offline write batch feat: add spark offline store offline_write_batch method Aug 12, 2022
@niklasvm niklasvm changed the title feat: add spark offline store offline_write_batch method feat: Implement spark offline store offline_write_batch method Aug 12, 2022
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codecov-commenter commented Aug 12, 2022

Codecov Report

Merging #3076 (5ed0cf0) into master (4b1476f) will decrease coverage by 9.24%.
The diff coverage is 16.27%.

@@            Coverage Diff             @@
##           master    #3076      +/-   ##
==========================================
- Coverage   67.27%   58.03%   -9.25%     
==========================================
  Files         169      203      +34     
  Lines       14859    16879    +2020     
==========================================
- Hits         9997     9796     -201     
- Misses       4862     7083    +2221     
Flag Coverage Δ
integrationtests ?
unittests 58.03% <16.27%> (?)

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

Impacted Files Coverage Δ
...ffline_stores/contrib/spark_offline_store/spark.py 32.98% <11.76%> (ø)
...s/contrib/spark_offline_store/tests/data_source.py 40.74% <33.33%> (ø)
...sts/integration/registration/test_universal_cli.py 20.20% <0.00%> (-79.80%) ⬇️
...ts/integration/offline_store/test_offline_write.py 26.08% <0.00%> (-73.92%) ⬇️
...fline_store/test_universal_historical_retrieval.py 28.75% <0.00%> (-71.25%) ⬇️
...ests/integration/e2e/test_python_feature_server.py 29.50% <0.00%> (-70.50%) ⬇️
...dk/python/tests/integration/e2e/test_validation.py 27.55% <0.00%> (-69.30%) ⬇️
...s/integration/registration/test_universal_types.py 32.25% <0.00%> (-67.75%) ⬇️
sdk/python/feast/infra/online_stores/redis.py 28.39% <0.00%> (-66.58%) ⬇️
sdk/python/tests/integration/e2e/test_usage_e2e.py 33.87% <0.00%> (-66.13%) ⬇️
... and 158 more

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@niklasvm niklasvm marked this pull request as ready for review August 12, 2022 15:57
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/ok-to-test

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@niklasvm: Cannot trigger testing until a trusted user reviews the PR and leaves an /ok-to-test message.

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/ok-to-test

Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes/test-infra repository.

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/assign @kevjumba

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achals commented Aug 17, 2022

@niklasvm can you rebase? I think we've fixed the lingering issues with the go unit tests.

Signed-off-by: niklasvm <niklasvm@gmail.com>
Signed-off-by: niklasvm <niklasvm@gmail.com>
Signed-off-by: niklasvm <niklasvm@gmail.com>
Signed-off-by: niklasvm <niklasvm@gmail.com>
Signed-off-by: niklasvm <niklasvm@gmail.com>
Signed-off-by: niklasvm <niklasvm@gmail.com>
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@niklasvm can you rebase? I think we've fixed the lingering issues with the go unit tests.

Thank you. I've rebased. Waiting for tests now

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@achals looks like tests ran successfully. There are still 2 pending ones. I am not sure if you need to approve before they run

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/lgtm

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[APPROVALNOTIFIER] This PR is APPROVED

This pull-request has been approved by: adchia, niklasvm

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@feast-ci-bot feast-ci-bot merged commit 5b0cc87 into feast-dev:master Aug 18, 2022
kevjumba pushed a commit that referenced this pull request 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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