stackabletech / stackabletech/spark-k8s-operator
Deploy Spark application artifacts from Git repositories
Open
Nobody has claimed this yet.
- Dominant language
- Rust
- Stars
- 72
- Forks
- 4
- Avg merge
- 2d 15h
- Merged PRs (30d)
- 15
Description
In addition to custom images and app volumes, users should be able to easily deploy applications from remote Git repositories similarly to the Airflow operator. For Spark, no Git syncing is necessary.
Things to consider:
- Authentication
- Dependency handling
- Integration with Spark Connect
Contributor guide
No contributing guide indexed for this repository
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 reviewing how custom images and app volumes are handled, then compare the Airflow operator's remote Git deployment approach. Clarify the design for authentication, dependency handling, and Spark Connect integration; done means Spark applications can be deployed from remote Git repositories without Git syncing.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- kubernetes, rust, spark
- Domain
- cloud, data-engineering, distributed-systems
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100