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feat(flow): add eval_batch for ScalarExpr #4551

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merged 17 commits into from
Aug 14, 2024

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discord9
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@discord9 discord9 commented Aug 13, 2024

I hereby agree to the terms of the GreptimeDB CLA.

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What's changed and what's your intention?

add eval_batch for flow's ScalarExpr, which can be use later to optimize performance for flow and reduce small object alloc/dealloc(which is found to be a very large cost on cpu time when profiling flow tasks).

The major change of logic happens in the following files:

  • src/flow/src/expr/func.rs include three eval_batch function
  • src/flow/src/expr/scalar.rs 's ScalarExpr::eval_batch function
  • src/flow/src/expr/df_func.rs's eval_batch function

and other changes are just moving file around and remove unused imports

Checklist

  • I have written the necessary rustdoc comments.
  • I have added the necessary unit tests and integration tests.
  • This PR requires documentation updates.

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@github-actions github-actions bot added the docs-not-required This change does not impact docs. label Aug 13, 2024
@discord9 discord9 changed the title feat(flow): add eval_batch for ScalarExpr feat(flow): add eval_batch for ScalarExpr Aug 13, 2024
@discord9 discord9 marked this pull request as ready for review August 13, 2024 08:39
@discord9 discord9 requested review from zhongzc, waynexia and a team as code owners August 13, 2024 08:39
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codecov bot commented Aug 13, 2024

Codecov Report

Attention: Patch coverage is 26.80180% with 325 lines in your changes missing coverage. Please review.

Project coverage is 84.50%. Comparing base (5aa4c70) to head (80a27b1).
Report is 6 commits behind head on main.

Additional details and impacted files
@@            Coverage Diff             @@
##             main    #4551      +/-   ##
==========================================
- Coverage   84.94%   84.50%   -0.44%     
==========================================
  Files        1090     1093       +3     
  Lines      194325   195994    +1669     
==========================================
+ Hits       165069   165625     +556     
- Misses      29256    30369    +1113     

@fengjiachun
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@discord9 Good job, could you show us the performance analysis comparison before and after this PR to clearly see the optimization effect?

@discord9
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@discord9 Good job, could you show us the performance analysis comparison before and after this PR to clearly see the optimization effect?

It would still require some more change of code to make MapFilterProject Operator to use batching process, which I'm working on adding it, will include performance analysis in later PR

src/flow/src/expr/scalar.rs Outdated Show resolved Hide resolved
src/flow/src/expr/scalar.rs Outdated Show resolved Hide resolved
src/flow/src/expr/scalar.rs Outdated Show resolved Hide resolved
src/flow/src/expr/func.rs Outdated Show resolved Hide resolved
src/flow/src/expr/func.rs Outdated Show resolved Hide resolved
@fengjiachun
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error: unused import: `common_telemetry::debug`
  --> src/flow/src/expr/func.rs:22:5
   |
22 | use common_telemetry::debug;
   |     ^^^^^^^^^^^^^^^^^^^^^^^
   |
   = note: `-D unused-imports` implied by `-D warnings`
   = help: to override `-D warnings` add `#[allow(unused_imports)]`

CI failed, cc @discord9

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LGTM

@discord9 discord9 added this pull request to the merge queue Aug 14, 2024
Merged via the queue into GreptimeTeam:main with commit 2c3fccb Aug 14, 2024
31 checks passed
@discord9 discord9 deleted the flow_eval_batch branch August 14, 2024 11:49
CookiePieWw pushed a commit to CookiePieWw/greptimedb that referenced this pull request Sep 17, 2024
* refactor: better perf flow

* feat(WIP): batching proc

* feat: UnaryFunc::eval_batch untested

* feat: BinaryFunc::eval_batch untested

* feat: VariadicFunc::eval_batch un tested

* feat: literal eval_batch

* refactor: move DfScalarFunc to separate file

* chore: remove unused imports

* feat: eval_batch df func&ifthen

* chore: remove unused file

* refactor: use Batch type

* chore: remove unused

* chore: remove a done TODO

* refactor: per review

* chore: import

* refactor: eval_batch if then

* chore: typo
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3 participants