[GitHub] [arrow] wjones127 commented on issue #12653: Conversion from one dataset to another that will not fit in memory?

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wjones127 commented on issue #12653:
URL: https://github.com/apache/arrow/issues/12653#issuecomment-1070973156


   Hi @eitsupi ,
   
   Depending on your memory restrictions, you may need to control the batch size (how many rows are loaded at once) on the scanner:
   
   ```python
   import pyarrow.dataset as ds
   
   input_dataset = ds.dataset("input")
   scanner = inpute_dataset.scanner(batch_size=100_000) # default is 1_000_000
   ds.write_dataset(scanner.to_reader(), "output", format="parquet")
   ```
   
   Does that help in your use case?


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