Data source cache method
Open
Nobody has claimed this yet.
new feature
- Dominant language
- Java
- Stars
- 134
- Forks
- 24
- Avg merge
- 1d 15h
- Merged PRs (30d)
- 8
Description
It would be great if there was a cache() method on a DataSource object within the library API.
This would go through each of the datasets within the data source and invoke Dataset.cache() on it.
This would be desirable in some situations where multiple queries need to be run over the same data source.
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 at the DataSource API and review how it exposes its datasets, then consult the linked Spark Dataset.cache() documentation. Done means DataSource provides a cache() method that invokes Dataset.cache() for each dataset so repeated queries can reuse cached data.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- java, spark
- Domain
- data
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100