mosche opened a new issue, #24861: URL: https://github.com/apache/beam/issues/24861
### What happened? The most common way to submit jobs to a Spark cluster is to use `spark-submit`. The `SparkSessionFactory` of the experimental Spark Dataset runner doesn't handle that well: - Despite `spark.master` being set by `spark-submit`, it's overwritten by the respective PipelineOption which is `local[*]` by default. - Staging of classpath artifacts is broken as it's done after the session is already created. However, this is necessary when running on a cluster using a local driver. ### Issue Priority Priority: 2 (default / most bugs should be filed as P2) ### Issue Components - [ ] Component: Python SDK - [ ] Component: Java SDK - [ ] Component: Go SDK - [ ] Component: Typescript SDK - [ ] Component: IO connector - [ ] Component: Beam examples - [ ] Component: Beam playground - [ ] Component: Beam katas - [ ] Component: Website - [X] Component: Spark Runner - [ ] Component: Flink Runner - [ ] Component: Samza Runner - [ ] Component: Twister2 Runner - [ ] Component: Hazelcast Jet Runner - [ ] Component: Google Cloud Dataflow Runner -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
