lance-format / lance-format/lance
FixedSizeBinary support with Spark
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enhancement
- Dominant language
- Rust
- Stars
- 7.1k
- Forks
- 852
- Avg merge
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- Merged PRs (30d)
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Description
I'm trying to read Lance tables with Spark that include FixedSizeBinary(N) columns. Is there a way to read these into a Spark supported data type? Alternatively is there a way to skip loading certain columns?
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 by reproducing the reported Spark read with a Lance table containing FixedSizeBinary(N) columns. Investigate the Spark integration and determine whether the work should provide a Spark-supported type mapping or a way to skip selected columns; done means one of those paths is supported and verified.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- spark
- Domain
- data-engineering
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100