Feast SDK integration for historical feature retrieval using Spark #1054
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I'm not 100% follow what is this for? I'd expect this to be within the local launcher as it assumes that you have Spark env setup.
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This function is useful for cases where, the user has their own SparkSession, in a jupyter notebook for example. In such case, it might be more convenient to return a Spark dataframe, rather than the actual output.
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Signed-off-by: Khor Shu Heng <[email protected]>
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: khorshuheng, pyalex The full list of commands accepted by this bot can be found here. The pull request process is described here
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What this PR does / why we need it:
Add historical feature retrieval job back to the Feast client again.
Which issue(s) this PR fixes:
Fixes #
Does this PR introduce a user-facing change?: