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Hi All, Juts Learning The Ropes Of Clearml Atm. And Am Doing A Really Simple Etl Pipeline: Raw Data -> Clean Data My Current Approach Is In One Script, I Add The Raw Data File To A Dataset In The Project: # Register_Raw.Ipynb


Hi @<1523701070390366208:profile|CostlyOstrich36> - Cheers for your time

I thought about that, but I think the lineage feature is really valuable.

I've opted for this as a go to pattern now to achieve what I wanted. I literally just remove all files in the new dataset before finalizing it

with TemporaryDirectory() as tmp:
    out = Path(tmp) / "df_clean.parquet"
    result.to_parquet(out, index=False)

    clean = Dataset.create(
        dataset_name="clean-data",
        dataset_project="example",
        parent_datasets=[parent],
        use_current_task=True
    )

    for file in clean.list_files():
        clean.remove_files(file)

    clean.add_files(out)
    
    clean.finalize(auto_upload=True)
  
  
Posted 4 months ago
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0 Answers
4 months ago
4 months ago