stackabletech / stackabletech/spark-k8s-operator
Implement integration with hdfs
Open
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customer-request
type/feature-new
- Dominant language
- Rust
- Stars
- 72
- Forks
- 4
- Avg merge
- 2d 15h
- Merged PRs (30d)
- 15
Description
As a user of the spark-k8s-operator I want to be able to upload job dependencies to a hdfs path
- include namenode in CRD, making this conditional
- include necessary jars in the job image, so that the are available for each executor
Contributor guide
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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 locating the Spark application CRD and the job image configuration. Trace how job dependencies are uploaded and how executor images are built, then determine where the conditional namenode setting belongs. Done means the CRD can configure a namenode and the required HDFS jars are available to every executor.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- kubernetes, rust, spark
- Domain
- data-engineering, devops
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100