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Compression of FeatureRows collection in memory #798

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merged 1 commit into from
Jun 16, 2020

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pyalex
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@pyalex pyalex commented Jun 15, 2020

What this PR does / why we need it:

Recently we changed BigQuery writes to use BatchLoad method to be able to update table schema in-flight. In order to produce "successful inserts" output for metrics calculation we keep in memory all FeatureRows until BigQuery load job succeed.
To use memory more efficient this PR proposes to compress FeatureRows that awaiting for bq job to finish by converting them from row-orientation into column-orientation and using generic compression on those columns.

Which issue(s) this PR fixes:

Fixes #

Does this PR introduce a user-facing change?:


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pyalex commented Jun 16, 2020

/test test-end-to-end-batch

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pyalex commented Jun 16, 2020

/test test-end-to-end-batch-dataflow

@pyalex pyalex changed the title [WIP] Compression of FeatureRows collection in memory Compression of FeatureRows collection in memory Jun 16, 2020
make batch size parameter

simplify creating jobId
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woop commented Jun 16, 2020

/lgtm

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[APPROVALNOTIFIER] This PR is APPROVED

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

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@feast-ci-bot feast-ci-bot merged commit f56e5f2 into feast-dev:master Jun 16, 2020
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3 participants