Optimize memory footprint for Spark Ingestion Job

[pyalex]

Signed-off-by: Oleksii Moskalenko moskalenko.alexey@gmail.com

What this PR does / why we need it:

1. Avoid expensive partition materialization in metrics calculation
2. Checkpoint data in case of repartitioning (trigger materialization)

Which issue(s) this PR fixes:

Fixes #

Does this PR introduce a user-facing change?:

NONE

[khorshuheng]

/lgtm

[feast-ci-bot]

[APPROVALNOTIFIER] This PR is APPROVED

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

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[khorshuheng]

/test test-end-to-end-aws

[feast-ci-bot]

@pyalex: The following tests failed, say /retest to rerun all failed tests:

Test name	Commit	Details	Rerun command
test-end-to-end-azure	2020234	link	/test test-end-to-end-azure
test-end-to-end-aws	2020234	link	/test test-end-to-end-aws

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