MIT-LCP / MIT-LCP/wfdb-python

Feature: Parquet Support

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Description

Extend WFDB-python to include support for Apache Parquet:

https://arrow.apache.org/docs/cpp/parquet.html

Given it's binary and there are c++ libraries out there, I thought it might be easy to at least support some subset of Parquet (or in fact, just generate a header for parquet files that makes a subset of parquet files WFDB compatible).

Benefit: Facilitate compute in AWS and Spark for large datasets

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with the linked Apache Parquet C++ documentation and review how WFDB-python currently represents its data formats; the issue names no files, entry points, or tests. Before implementation, define the supported Parquet subset or header behavior and how AWS and Spark interoperability will be verified.

Written by the indexing model from the issue text.

Assessment

Tech stack
aws, python, spark
Domain
data-engineering
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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