[SeriesDFilter] Redundant execution of filter_pipe for each fields_group causes slow data loading
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- Python
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Description
Description
During data loading, I noticed that filter_pipe is executed repeatedly for each fields_group instead of being applied once or cached. This causes significant slowdowns in data preparation, especially when multiple field groups are configured.
Steps to Reproduce / Observation
- Added logging/print statements inside the
_getFilterSeriesmethod. - Ran the data loading pipeline with multiple
fields_groups (e.g., 3 groups in my setup). - Observed that the filter pipeline was called exactly 3 times, once per
fields_group, rather than sharing the filtered result across groups.
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Locate the _getFilterSeries method and trace how filter_pipe is invoked for each fields_group. Reproduce the behavior with multiple groups and confirm the filter result is reused or cached rather than recomputed; done means the redundant executions are removed without changing data-loading results.
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Assessment
- Tech stack
- python
- Domain
- data-engineering, performance
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100