meta-pytorch / meta-pytorch/data
Read Parquet Files Directly from S3?
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- Dominant language
- Python
- Stars
- 1.3k
- Forks
- 179
- Avg merge
- 6d 1h
- Merged PRs (30d)
- 2
Description
🚀 The feature
The ParquetDataFrameLoader allows us to read parquet files from the local file system, but I don't think it supports reading parquet files from (for example) an S3 bucket.
Make this possible.
Motivation, pitch
I would like to train my models on parquet files stored in an S3 bucket.
Alternatives
You could probably download the parquet file locally and then use the ParquetDataFrameLoader?
Additional context
No response
Contributor guide
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
Start with the ParquetDataFrameLoader entry point and trace how it currently accepts local files. Identify the repository's relevant loader tests or add focused coverage for an S3-backed parquet path. Done means the loader can read parquet data directly from an S3 bucket while preserving its existing local-file behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, python
- Domain
- cloud, data
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 38/100