stackabletech / stackabletech/demos

Document how to update spark jobs that are called from Airflow DAGs

Open
#17 1 comment 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Jupyter Notebook
Stars
3
Forks
13
Avg merge
2d 20h
Merged PRs (30d)
2

Description

When upgrading the airflow demo from 23.7 to 23.11 the spark job wrapped by an existing DAG is not updated if the config map containing its definition is changed. This should be investigated and documented as to how to do this.

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reproducing the airflow demo upgrade from 23.7 to 23.11, then inspect the existing DAG, its wrapped Spark job, and the config map containing the job definition. Document the procedure needed to update the Spark job when that config map changes, including how to verify that the DAG uses the new definition.

Written by the indexing model from the issue text.

Assessment

Tech stack
kubernetes, spark
Domain
data-engineering, devops, documentation
Issue type
Documentation
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
42/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.