Set MaxConcurrentRuns and MaxRetries in Jupyter Notebook Job

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We have a Jupyter Notebook Glue Job and We're calling start_job_run from a Lambda with Python with boto3, we would like to change the default MaxConcurrentRuns (1) and MaxRetries (3) of the Job, as a Notebook we need to use magics, we already tried with magics and also we tried using Arguments in the Lambda that runs the Job, nothing seems to work, how should we set those settings to guarantee the Jupyter Notebook never will retry and will have a concurrency of 5, for example, we would like to have max 5 Jobs running at the same time.

jarvy
asked a year ago189 views
1 Answer
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You need to change the concurrency/retries on the job that you are triggering configuration (on the console or using boto3).
That job is independent from your notebook session configuration.

profile pictureAWS
EXPERT
answered a year ago

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