[FEATURE] Support SparkSQL on Standalone cluster
- Dominant language
- Scala
- Stars
- 2.4k
- Forks
- 1k
- PR merge metrics
- No merged PRs in 30d
Description
### Code of Conduct
- [X] I agree to follow this project's [Code of Conduct](https://www.apache.org/foundation/policies/conduct)
### Search before asking
- [X] I have searched in the [issues](https://github.com/apache/kyuubi/issues?q=is%3Aissue) and found no similar issues.
### Describe the feature
Kyuubi currently provides an excellent interface for running Spark SQL on distributed Spark environments. However, it lacks official support for running SparkSQL on a standalone Spark cluster. This feature request proposes adding support for SparkSQL execution on Spark Standalone clusters, allowing users to deploy Kyuubi with more flexibility in Spark cluster configurations.
### Motivation
_No response_
### Describe the solution
_No response_
### Additional context
_No response_
### Are you willing to submit PR?
- [ ] Yes. I would be willing to submit a PR with guidance from the Kyuubi community to improve.
- [X] No. I cannot submit a PR at this time.
Contributor guide
Research direction
Start by reviewing Kyuubi's existing Spark SQL execution support and the entry points used for distributed Spark environments. Determine how Spark Standalone clusters would be configured and exercised, then verify that SparkSQL execution works on a Standalone cluster through the relevant integration coverage.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- scala, spark
- Domain
- distributed-systems
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100