fix(datasets): fix dtype backend by fmind · Pull Request #44 · fmind/mlops-python-package

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Summary of Changes

This pull request addresses an issue related to the dtype_backend in the ParquetReader class within the bikes project. The primary change involves modifying the read method of the ParquetReader to utilize the self.backend attribute instead of hardcoding pyarrow as the dtype_backend when reading a parquet file. Additionally, the pull request includes updates to the python_env.yaml and requirements.txt files, which seem to be related to dependency management and environment configuration.

Highlights

  • Bug Fix: The dtype_backend in ParquetReader was hardcoded to pyarrow. This PR fixes it to use self.backend.
  • Dependency Updates: The python_env.yaml and requirements.txt files have been updated, likely to reflect changes in project dependencies.

Changelog

  • python_env.yaml
    • Added/updated dependencies in the python environment.
  • requirements.txt
    • Added/updated dependencies in the requirements file.
  • src/bikes/io/datasets.py
    • Modified the read method in ParquetReader to use self.backend for dtype_backend when reading parquet files. Line 77 was changed.
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Trivia time!

What is Apache Parquet's primary design goal?

Click here for the answer
Apache Parquet is designed for efficient data storage and retrieval. It excels at columnar storage, which allows for optimized query performance, especially when dealing with large datasets.

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