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Feast SDK integration for historical feature retrieval using Spark #1054

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merged 3 commits into from
Oct 15, 2020

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khorshuheng
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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?:


sdk/python/feast/pyspark/launcher.py Outdated Show resolved Hide resolved
}


def start_historical_feature_retrieval_spark_session(
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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.

Signed-off-by: Khor Shu Heng <khor.heng@gojek.com>
@khorshuheng khorshuheng force-pushed the sdk-historical-retrieval branch 3 times, most recently from 8df72d2 to 9c4f1cc Compare October 15, 2020 08:27
Signed-off-by: Khor Shu Heng <khor.heng@gojek.com>
Signed-off-by: Khor Shu Heng <khor.heng@gojek.com>
@khorshuheng khorshuheng changed the title (WIP) Feast SDK integration for historical feature retrieval using Spark Feast SDK integration for historical feature retrieval using Spark Oct 15, 2020
@khorshuheng khorshuheng added the kind/feature New feature or request label Oct 15, 2020
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[APPROVALNOTIFIER] This PR is APPROVED

This pull-request has been approved by: khorshuheng, pyalex

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pyalex commented Oct 15, 2020

/lgtm

@feast-ci-bot feast-ci-bot merged commit e8b24bb into feast-dev:master Oct 15, 2020
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4 participants