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feat: Kubernetes materialization engine written based on bytewax #4087

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merged 3 commits into from
Apr 11, 2024

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sudohainguyen
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@sudohainguyen sudohainguyen commented Apr 9, 2024

What this PR does / why we need it:

As our efforts to prune bytewax dependencies to support python 3.11, in this PR I've rewritten bytewax engine as a new one called kubernetes engine.
Most of the code is unchanged, genuinely modify image entrypoint to process paths from remote storage

Which issue(s) this PR fixes:

Relates to #4046

Additional notes

Docs will be provided in a separate PR and also bytewax removal

@sudohainguyen sudohainguyen changed the title feat: kubernetes materialization engine written based on bytewax feat: Kubernetes materialization engine written based on bytewax Apr 9, 2024
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tokoko commented Apr 9, 2024

Thanks, this looks really cool, especially as a transition path for people who use bytewax engine today. @alex-vinnik-sp

I'm all for merging this, but I would still like to note that I was actually talking with @lokeshrangineni about this the other day and I'm not sure it will be a good idea to keep this engine around if/when we will have good alternatives based on spark, dask or something similar, for example a spark engine that's not limited to working with just spark offline store and also has an adequate performance. The maintenance burden of a homegrown simple distributed engine will be too much then. I may be wrong of course... maybe people will still prefer to use this just to avoid spark overhead.

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@tokoko yep spark overhead sometimes frustrates user cause I was in that situation before 😃
I believe users need an engine somewhere between local and spark.

And IIRC spark engine only available to spark offline store 🤔

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tokoko commented Apr 10, 2024

@sudohainguyen only from a functionality perspective, you're probably right, materialization isn't so complicated after all. But if you consider that users will also want to have better monitoring, resilience and so on, using some other off-the-shelf engine makes more sense imho.

yup, spark only works with spark offline store, but there's nothing stopping us from adding a first step in spark engine as well similar to the one in here that exports offline store output to some storage first and only then spark would kick in to parallelize reading and writing.

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LGTM

@lokeshrangineni
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Thank you for submitting this @sudohainguyen. This will unblock the PR for now. I do agree with all the feedback on this PR.

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@sudohainguyen - We have an existing PR to remove bytewax dependencies and upgrading to 3.11 here. Just making sure you are aware of it so that we can avoid duplicate of work. Once this PR merged then we can merge the other PR.

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I don't think combining 3.11 works and bytewax pruning is a good move.
let's do one by one 😄

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@sudohainguyen LGTM. left comments and I think can serve as future work.

I like this feature. it feels both powerful and lightweight. 👍

"labels": {**pod_labels, **self.batch_engine_config.labels},
},
"spec": {
"restartPolicy": "Never",
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"restartPolicy": "Never", This can be also a config i think


job_labels = {"feast-materializer": "job"}
pod_labels = {"feast-materializer": "pod"}
job_definition = {
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Can take this out as a template file, also make it a config option for the user to override the template

@HaoXuAI HaoXuAI merged commit 7617bdb into feast-dev:master Apr 11, 2024
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@sudohainguyen sudohainguyen deleted the k8s-materialization branch April 12, 2024 02:59
franciscojavierarceo pushed a commit that referenced this pull request Apr 16, 2024
# [0.36.0](v0.35.0...v0.36.0) (2024-04-16)

### Bug Fixes

* Add __eq__, __hash__ to SparkSource for correct comparison ([#4028](#4028)) ([e703b40](e703b40))
* Add conn.commit() to Postgresonline_write_batch.online_write_batch ([#3904](#3904)) ([7d75fc5](7d75fc5))
* Add missing __init__.py to embedded_go ([#4051](#4051)) ([6bb4c73](6bb4c73))
* Add missing init files in infra utils ([#4067](#4067)) ([54910a1](54910a1))
* Added registryPath parameter documentation in WebUI reference ([#3983](#3983)) ([5e0af8f](5e0af8f)), closes [#3974](#3974) [#3974](#3974)
* Adding missing init files in materialization modules ([#4052](#4052)) ([df05253](df05253))
* Allow trancated timestamps when converting ([#3861](#3861)) ([bdd7dfb](bdd7dfb))
* Azure blob storage support in Java feature server ([#2319](#2319)) ([#4014](#4014)) ([b9aabbd](b9aabbd))
* Bugfix for grabbing historical data from Snowflake with array type features. ([#3964](#3964)) ([1cc94f2](1cc94f2))
* Bytewax materialization engine fails when loading feature_store.yaml ([#3912](#3912)) ([987f0fd](987f0fd))
* CI unittest warnings ([#4006](#4006)) ([0441b8b](0441b8b))
* Correct the returning class proto type of StreamFeatureView to StreamFeatureViewProto instead of FeatureViewProto. ([#3843](#3843)) ([86d6221](86d6221))
* Create index only if not exists during MySQL online store update ([#3905](#3905)) ([2f99a61](2f99a61))
* Disable minio tests in workflows on master and nightly ([#4072](#4072)) ([c06dda8](c06dda8))
* Disable the Feast Usage feature by default. ([#4090](#4090)) ([b5a7013](b5a7013))
* Dump repo_config by alias ([#4063](#4063)) ([e4bef67](e4bef67))
* Extend SQL registry config with a sqlalchemy_config_kwargs key ([#3997](#3997)) ([21931d5](21931d5))
* Feature Server image startup in OpenShift clusters ([#4096](#4096)) ([9efb243](9efb243))
* Fix copy method for StreamFeatureView ([#3951](#3951)) ([cf06704](cf06704))
* Fix for materializing entityless feature views in Snowflake ([#3961](#3961)) ([1e64c77](1e64c77))
* Fix type mapping spark ([#4071](#4071)) ([3afa78e](3afa78e))
* Fix typo as the cli does not support shortcut-f option. ([#3954](#3954)) ([dd79dbb](dd79dbb))
* Get container host addresses from testcontainers ([#3946](#3946)) ([2cf1a0f](2cf1a0f))
* Handle ComplexFeastType to None comparison ([#3876](#3876)) ([fa8492d](fa8492d))
* Hashlib md5 errors in FIPS for python 3.9+ ([#4019](#4019)) ([6d9156b](6d9156b))
* Making the query_timeout variable as optional int because upstream is considered to be optional ([#4092](#4092)) ([fd5b620](fd5b620))
* Move gRPC dependencies to an extra ([#3900](#3900)) ([f93c5fd](f93c5fd))
* Prevent spamming pull busybox from dockerhub ([#3923](#3923)) ([7153cad](7153cad))
* Quickstart notebook example ([#3976](#3976)) ([b023aa5](b023aa5))
* Raise error when not able read of file source spark source ([#4005](#4005)) ([34cabfb](34cabfb))
* remove not use input parameter in spark source ([#3980](#3980)) ([7c90882](7c90882))
* Remove parentheses in pull_latest_from_table_or_query ([#4026](#4026)) ([dc4671e](dc4671e))
* Remove proto-plus imports ([#4044](#4044)) ([ad8f572](ad8f572))
* Remove unnecessary dependency on mysqlclient ([#3925](#3925)) ([f494f02](f494f02))
* Restore label check for all actions using pull_request_target ([#3978](#3978)) ([591ba4e](591ba4e))
* Revert mypy config ([#3952](#3952)) ([6b8e96c](6b8e96c))
* Rewrite Spark materialization engine to use mapInPandas ([#3936](#3936)) ([dbb59ba](dbb59ba))
* Run feature server w/o gunicorn on windows ([#4024](#4024)) ([584e9b1](584e9b1))
* SqlRegistry _apply_object update statement ([#4042](#4042)) ([ef62def](ef62def))
* Substrait ODFVs for online ([#4064](#4064)) ([26391b0](26391b0))
* Swap security label check on the PR title validation job to explicit permissions instead ([#3987](#3987)) ([f604af9](f604af9))
* Transformation server doesn't generate files from proto ([#3902](#3902)) ([d3a2a45](d3a2a45))
* Trino as an OfflineStore Access Denied when BasicAuthenticaion ([#3898](#3898)) ([49d2988](49d2988))
* Trying to import pyspark lazily to avoid the dependency on the library ([#4091](#4091)) ([a05cdbc](a05cdbc))
* Typo Correction in Feast UI Readme ([#3939](#3939)) ([c16e5af](c16e5af))
* Update actions/setup-python from v3 to v4 ([#4003](#4003)) ([ee4c4f1](ee4c4f1))
* Update typeguard version to >=4.0.0 ([#3837](#3837)) ([dd96150](dd96150))
* Upgrade sqlalchemy from 1.x to 2.x regarding PVE-2022-51668. ([#4065](#4065)) ([ec4c15c](ec4c15c))
* Use CopyFrom() instead of __deepycopy__() for creating a copy of protobuf object. ([#3999](#3999)) ([5561b30](5561b30))
* Using version args to install the correct feast version ([#3953](#3953)) ([b83a702](b83a702))
* Verify the existence of Registry tables in snowflake before calling CREATE sql command. Allow read-only user to call feast apply. ([#3851](#3851)) ([9a3590e](9a3590e))

### Features

* Add duckdb offline store ([#3981](#3981)) ([161547b](161547b))
* Add Entity df in format of a Spark Dataframe instead of just pd.DataFrame or string for SparkOfflineStore ([#3988](#3988)) ([43b2c28](43b2c28))
* Add gRPC Registry Server ([#3924](#3924)) ([373e624](373e624))
* Add local tests for s3 registry using minio ([#4029](#4029)) ([d82d1ec](d82d1ec))
* Add python bytes to array type conversion support proto ([#3874](#3874)) ([8688acd](8688acd))
* Add python client for remote registry server ([#3941](#3941)) ([42a7b81](42a7b81))
* Add Substrait-based ODFV transformation ([#3969](#3969)) ([9e58bd4](9e58bd4))
* Add support for arrays in snowflake ([#3769](#3769)) ([8d6bec8](8d6bec8))
* Added delete_table to redis online store ([#3857](#3857)) ([03dae13](03dae13))
* Adding support for Native Python feature transformations for ODFVs ([#4045](#4045)) ([73bc853](73bc853))
* Bumping requirements ([#4079](#4079)) ([1943056](1943056))
* Decouple transformation types from ODFVs ([#3949](#3949)) ([0a9fae8](0a9fae8))
* Dropping Python 3.8 from local integration tests and integration tests ([#3994](#3994)) ([817995c](817995c))
* Dropping python 3.8 requirements files from the project. ([#4021](#4021)) ([f09c612](f09c612))
* Dropping the support for python 3.8 version from feast ([#4010](#4010)) ([a0f7472](a0f7472))
* Dropping unit tests for Python 3.8 ([#3989](#3989)) ([60f24f9](60f24f9))
* Enable Arrow-based columnar data transfers  ([#3996](#3996)) ([d8d7567](d8d7567))
* Enable Vector database and retrieve_online_documents API ([#4061](#4061)) ([ec19036](ec19036))
* Kubernetes materialization engine written based on bytewax ([#4087](#4087)) ([7617bdb](7617bdb))
* Lint with ruff ([#4043](#4043)) ([7f1557b](7f1557b))
* Make arrow primary interchange for offline ODFV execution ([#4083](#4083)) ([9ed0a09](9ed0a09))
* Pandas v2 compatibility ([#3957](#3957)) ([64459ad](64459ad))
* Pull duckdb from contribs, add to CI ([#4059](#4059)) ([318a2b8](318a2b8))
* Refactor ODFV schema inference ([#4076](#4076)) ([c50a9ff](c50a9ff))
* Refactor registry caching logic into a separate class ([#3943](#3943)) ([924f944](924f944))
* Rename OnDemandTransformations to Transformations ([#4038](#4038)) ([9b98eaf](9b98eaf))
* Revert updating dependencies so that feast can be run on 3.11. ([#3968](#3968)) ([d3c68fb](d3c68fb)), closes [#3958](#3958)
* Rewrite ibis point-in-time-join w/o feast abstractions ([#4023](#4023)) ([3980e0c](3980e0c))
* Support s3gov schema by snowflake offline store during materialization ([#3891](#3891)) ([ea8ad17](ea8ad17))
* Update odfv test ([#4054](#4054)) ([afd52b8](afd52b8))
* Update pyproject.toml to use Python 3.9 as default ([#4011](#4011)) ([277b891](277b891))
* Update the Pydantic from v1 to v2 ([#3948](#3948)) ([ec11a7c](ec11a7c))
* Updating dependencies so that feast can be run on 3.11. ([#3958](#3958)) ([59639db](59639db))
* Updating protos to separate transformation ([#4018](#4018)) ([c58ef74](c58ef74))

### Reverts

* Reverting bumping requirements ([#4081](#4081)) ([1ba65b4](1ba65b4)), closes [#4079](#4079)
* Verify the existence of Registry tables in snowflake… ([#3907](#3907)) ([c0d358a](c0d358a)), closes [#3851](#3851)
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