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feat: reduce object sizes up to 88% #687

Merged
merged 3 commits into from
Apr 14, 2023
Merged

feat: reduce object sizes up to 88% #687

merged 3 commits into from
Apr 14, 2023

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laresbernardo
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Based on demo data, 1 trial and 1000 iterations, reduced OutputModels from 40Mb to 5.3Mb (87% size reduction) by not storing the xDecompVec data.frame which contained all transformed values for all models, including carryover and immediate effects. Now we re-calculate when exporting the objects (OutputCollect) with little to no performance tradeoff, and reducing it's size substantially too.

@laresbernardo laresbernardo added the enhancement New feature or request label Apr 13, 2023
@facebook-github-bot facebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Apr 13, 2023
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laresbernardo commented Apr 13, 2023 •
edited

Ran one more test in my local computer, with 5 trials and 2000 iterations, and the size for OutputModels was:

  • main: 391.9Mb
  • PR: 48.8Mb

IMPROVEMENT: OutputModels is now 87.55% lighter!!

Note: OutputCollect object also reduced size but hard to compare given a randomness factor. Nevertheless, for the mentioned OutputModels we can generate a 125Mb-ish OutputCollect R object for 10K models (which is manageable-scalable). Also, note than OutputModels is also stored within OutputCollect.

@laresbernardo laresbernardo self-assigned this Apr 13, 2023
gufengzhou
gufengzhou approved these changes Apr 14, 2023
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LGTM

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Can confirm the %size reduction of OutputModels is reproducible. Good job!
For OutputCollect it'd probably need further reduction because its size is more related to the stored plotting objects.

@laresbernardo laresbernardo merged commit 8a05070 into main Apr 14, 2023
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@laresbernardo laresbernardo deleted the size_reduction branch April 14, 2023 14:06
@laresbernardo laresbernardo changed the title feat: reduce object sizes up to 87% feat: reduce object sizes up to 88% Apr 14, 2023
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