Hi Vasily, Unfortunately no, I don't think there is such an option in your case. With per job mode, you could try to use the Distributed Cache, it should be working in streaming as well [1], but this doesn't work in the application mode, as in that case no code is executed on the JobMaster [2]
Two workarounds that I could propose, that I know are not perfect is to: - bundle the configuration file in the jar - pass the entire configuration as a parameter to the job though some json, or base64 encoded parameter. Best, Piotrek [1] https://nightlies.apache.org/flink/flink-docs-release-1.13/docs/dev/dataset/overview/#distributed-cache [2] https://ci.apache.org/projects/flink/flink-docs-master/docs/deployment/overview/#overview-and-reference-architecture wt., 9 lis 2021 o 14:14 Vasily Melnik <vasily.mel...@glowbyteconsulting.com> napisał(a): > Hi all. > > While running Flink jobs in application mode on YARN and Kuber, we need to > provide some configuration files to main class. Is there any option on > Flink CLI to copy local files on cluster without manually copying on DFS > or in docker image, something like *--files* option in spark-submit? > > >
