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we are facing an issue where spark job server start serving the old jars for job execution. for example i have below jars at my filedao directory for Test
test-1.jar
test-2.jar
test-3.jar
and test-3.jar is the latest one, which should be picked by spark job-server for job execution. but sometimes it start picking up the test-2.jar or test-1.jar for job execution.
to fix this we manually remove the older jars from filedao path and restart the spark job server.
looking forward for suggestions/comments to deep dive into the issue and have the permanent fix.
The text was updated successfully, but these errors were encountered:
Used Spark version: v1.6.2
Used Spark Job Server version: v0.6.2
Deployed mode: Yarn
we are facing an issue where spark job server start serving the old jars for job execution. for example i have below jars at my filedao directory for Test
test-1.jar
test-2.jar
test-3.jar
and test-3.jar is the latest one, which should be picked by spark job-server for job execution. but sometimes it start picking up the test-2.jar or test-1.jar for job execution.
to fix this we manually remove the older jars from filedao path and restart the spark job server.
looking forward for suggestions/comments to deep dive into the issue and have the permanent fix.
The text was updated successfully, but these errors were encountered: