feat: Relax aws extras requirements#3585
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feast-ci-bot merged 2 commits intofeast-dev:masterfrom Apr 21, 2023
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boto3 1.20.23 was released in late 2021. There have been many releases since that downstream projects would reasonably want to use. s3fs is a particularly thorny dependency because each version of s3fs depends on a very narrow range of aiobotocore versions. s3fs (as opposed to pyarrow._s3fs) does not appear to be used directly for AWS related code. If users want to avail themself of pandas<-->s3 integration with s3fs they can still install it directly. Signed-off-by: Chris Burroughs <[email protected]>
achals
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/ok-to-test
Can you regen the requirements file as well?
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: achals, cburroughs The full list of commands accepted by this bot can be found here. The pull request process is described here DetailsNeeds approval from an approver in each of these files:
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Is that |
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Yes, that's the one |
Signed-off-by: Chris Burroughs <[email protected]>
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Anything else I can do here? |
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/lgtm |
felixwang9817
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# [0.31.0](v0.30.0...v0.31.0) (2023-04-21) ### Bug Fixes * Add Stream Feature Views to helper that collect Feature View names ([#3582](#3582)) ([7854f63](7854f63)) * Add StreamFeatureViewSpec to FeastObjectSpecProto convenience type ([#3550](#3550)) ([3cefd6c](3cefd6c)) * Batch Snowflake materialization queries to obey Snowpark 100 fea… ([#3406](#3406)) ([f9862b5](f9862b5)) * Bytewax materializer security context ([#3573](#3573)) ([6794338](6794338)) * **cI:** Install coreutils in mac github workers for smoke test ([#3563](#3563)) ([e7421c1](e7421c1)) * Fix bug with no SqlRegistryConfig class ([#3586](#3586)) ([6dc1368](6dc1368)) * Fix Snowflake template ([#3584](#3584)) ([6c09c39](6c09c39)) * Make snowflake to remote tables temporary ([#3588](#3588)) ([ad48146](ad48146)) * Remove snowflake source warehouse tech debt ([#3422](#3422)) ([7da0580](7da0580)) * Snowflake remote storage ([#3574](#3574)) ([f8d3890](f8d3890)) * Support param timeout when persisting ([#3593](#3593)) ([01a98f0](01a98f0)) * Use pyarrow in a way that works across versions ([#3562](#3562)) ([1289f3f](1289f3f)) * Wrap the bigquery table name with backtick. ([#3577](#3577)) ([09f0e7e](09f0e7e)) ### Features * Add AWS Redshift Serverless support ([#3595](#3595)) ([58ce148](58ce148)) * Add Hazelcast as an online store ([#3523](#3523)) ([b05d50b](b05d50b)) * Cache Bigtable client ([#3602](#3602)) ([b27472f](b27472f)) * Relax aws extras requirements ([#3585](#3585)) ([7e77382](7e77382)) * Show bigquery datasource table and query on UI ([#3600](#3600)) ([58d63f7](58d63f7)) * Update snowflake offline store job output formats -- added arrow ([#3589](#3589)) ([be3e349](be3e349))
zerafachris
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* relax aws extras requirements boto3 1.20.23 was released in late 2021. There have been many releases since that downstream projects would reasonably want to use. s3fs is a particularly thorny dependency because each version of s3fs depends on a very narrow range of aiobotocore versions. s3fs (as opposed to pyarrow._s3fs) does not appear to be used directly for AWS related code. If users want to avail themself of pandas<-->s3 integration with s3fs they can still install it directly. Signed-off-by: Chris Burroughs <[email protected]> * fixup: regen requirements Signed-off-by: Chris Burroughs <[email protected]> --------- Signed-off-by: Chris Burroughs <[email protected]> Signed-off-by: zerafachris PERSONAL <[email protected]>
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# [0.31.0](feast-dev/feast@v0.30.0...v0.31.0) (2023-04-21) ### Bug Fixes * Add Stream Feature Views to helper that collect Feature View names ([feast-dev#3582](feast-dev#3582)) ([7854f63](feast-dev@7854f63)) * Add StreamFeatureViewSpec to FeastObjectSpecProto convenience type ([feast-dev#3550](feast-dev#3550)) ([3cefd6c](feast-dev@3cefd6c)) * Batch Snowflake materialization queries to obey Snowpark 100 fea… ([feast-dev#3406](feast-dev#3406)) ([f9862b5](feast-dev@f9862b5)) * Bytewax materializer security context ([feast-dev#3573](feast-dev#3573)) ([6794338](feast-dev@6794338)) * **cI:** Install coreutils in mac github workers for smoke test ([feast-dev#3563](feast-dev#3563)) ([e7421c1](feast-dev@e7421c1)) * Fix bug with no SqlRegistryConfig class ([feast-dev#3586](feast-dev#3586)) ([6dc1368](feast-dev@6dc1368)) * Fix Snowflake template ([feast-dev#3584](feast-dev#3584)) ([6c09c39](feast-dev@6c09c39)) * Make snowflake to remote tables temporary ([feast-dev#3588](feast-dev#3588)) ([ad48146](feast-dev@ad48146)) * Remove snowflake source warehouse tech debt ([feast-dev#3422](feast-dev#3422)) ([7da0580](feast-dev@7da0580)) * Snowflake remote storage ([feast-dev#3574](feast-dev#3574)) ([f8d3890](feast-dev@f8d3890)) * Support param timeout when persisting ([feast-dev#3593](feast-dev#3593)) ([01a98f0](feast-dev@01a98f0)) * Use pyarrow in a way that works across versions ([feast-dev#3562](feast-dev#3562)) ([1289f3f](feast-dev@1289f3f)) * Wrap the bigquery table name with backtick. ([feast-dev#3577](feast-dev#3577)) ([09f0e7e](feast-dev@09f0e7e)) ### Features * Add AWS Redshift Serverless support ([feast-dev#3595](feast-dev#3595)) ([58ce148](feast-dev@58ce148)) * Add Hazelcast as an online store ([feast-dev#3523](feast-dev#3523)) ([b05d50b](feast-dev@b05d50b)) * Cache Bigtable client ([feast-dev#3602](feast-dev#3602)) ([b27472f](feast-dev@b27472f)) * Relax aws extras requirements ([feast-dev#3585](feast-dev#3585)) ([7e77382](feast-dev@7e77382)) * Show bigquery datasource table and query on UI ([feast-dev#3600](feast-dev#3600)) ([58d63f7](feast-dev@58d63f7)) * Update snowflake offline store job output formats -- added arrow ([feast-dev#3589](feast-dev#3589)) ([be3e349](feast-dev@be3e349)) Signed-off-by: zerafachris PERSONAL <[email protected]>
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boto3 1.20.23 was released in late 2021. There have been many releases since that downstream projects would reasonably want to use.
s3fs is a particularly thorny dependency because each version of s3fs depends on a very narrow range of aiobotocore versions. s3fs (as opposed to pyarrow._s3fs) does not appear to be used directly for AWS related code. If users want to avail themself of pandas<-->s3 integration with s3fs they can still install it directly.