[Core feature] Reuse same literals in the dynamic task - #3307
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Signed-off-by: Barry Wu <a0987818905@gmail.com>
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August 2, 2025 07:23
…ache Signed-off-by: Barry Wu <a0987818905@gmail.com>
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## master #3307 +/- ##
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- Coverage 85.26% 44.97% -40.29%
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Files 386 319 -67
Lines 30276 26812 -3464
Branches 2969 2953 -16
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Signed-off-by: Barry Wu <a0987818905@gmail.com>
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Signed-off-by: Barry Wu <a0987818905@gmail.com>
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Signed-off-by: Barry Wu <a0987818905@gmail.com>
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Overall LGTM! Thank you!
Just some nit
Signed-off-by: Barry Wu <a0987818905@gmail.com>
Signed-off-by: Barry Wu <a0987818905@gmail.com>
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Signed-off-by: Barry Wu <a0987818905@gmail.com>
Co-authored-by: Nary Yeh <60069744+machichima@users.noreply.github.com>
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Aug 27, 2025
Signed-off-by: Barry Wu <a0987818905@gmail.com>
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Signed-off-by: Barry Wu <a0987818905@gmail.com> Co-authored-by: Kevin Su <pingsutw@gmail.com> Co-authored-by: Nary Yeh <60069744+machichima@users.noreply.github.com> Signed-off-by: Atharva <atharvakulkarni172003@gmail.com>
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Tracking issue
Closes flyteorg/flyte#6032
Why are the changes needed?
We should only serialize the variable and upload it once to reuse the same input.
To make the same Python value reuse the literal.
What changes were proposed in this pull request?
Add a local cache to store the literal that has been serialized.
How was this patch tested?
Unit test
Check all the applicable boxes
Summary by Bito
This pull request enhances the Flyte framework by implementing a local caching mechanism using an LRU cache for serialized literals, replacing the previous cache. This improvement boosts efficiency by reducing redundant serialization and uploads of identical Python values. A new unit test has been added to verify caching behavior when pandas is unavailable, and existing unit tests have been updated to ensure the new caching behavior is validated.