[GitHub] [beam] JozoVilcek opened a new issue, #26692: [Task]: FilesToStage breaks Spark on YARN

["JozoVilcek (via GitHub)" <gi...@apache.org>]

JozoVilcek opened a new issue, #26692:
URL: https://github.com/apache/beam/issues/26692

   ### What needs to happen?
   
   When I tried to execute Beam pipeline over Spark structured streaming runner on YARN it failed. I did identify to problems:
   
   1. When FilesToStage kicks in it tries to zip classpath directories and uses pipeline's temp directory. In my case it is HDFS and since `PipelineResources.prepareFilesForStaging()` uses Java IO it will not work as it does not speak HDFS
   2. Since worker are provided with necessary classes beforehand, it would make sense to me to be able to bypass FilesToStage instead to always had to stage something even when not necessary. 
   
   ### Issue Priority
   
   Priority: 2 (default / most normal work should be filed as P2)
   
   ### Issue Components
   
   - [ ] Component: Python SDK
   - [X] 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


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