Compression of FeatureRows collection in memory#798
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pyalex
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/test test-end-to-end-batch |
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/test test-end-to-end-batch-dataflow |
pyalex
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woop
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Jun 16, 2020
woop
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Jun 16, 2020
make batch size parameter simplify creating jobId
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/lgtm |
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: pyalex, woop 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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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?: