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I can also confirm we're having a similar issue, once in a while a job gets stuck on "executing" and never completes, only remedy is to restart the harness server
Normal time will
Successfully stopped SparkContext
Error Time no show this message
Therefore, next time during data training, Spark calculations will not be able to be performed normally...
I have tried to delete jobs, but it seems that they cannot be deleted normally.
I have to restart ActionML Harness to resume normal training data..
Is there any way to ensure that each training data is successful and will not affect the next time
Sometimes an exception will occur after 10-20 training are performed, and an exception may occur after performing 3-5 times.
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