PyFink Application Mode Dependency Resolution

When submitting PyFink jobs via Application Mode: ./bin/flink run-application -t yarn-application \ -Djobmanager.memory.process.size=1024m \ -Dtaskmanager.memory.process.size=1024m \ -Dyarn.application.name=test_applicationmode \ -pyclientexec /usr/bin/python \ -pyexe

Re: Too long jobs recover after JobManager fail with Kubernetes HA

Hi, Can you help please with previous questions? Thanks in advance! ср, 26 мар. 2025 г., 12:06 Vladislav Keda : > Hi, > > We have identified the cause of the problem: ConfigMaps on the Kubernetes > cluster were taking increasingly longer to update as the number of jobs > grew (due to the expand