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https://docs.aws.amazon.com/emr/latest/EMR-Serverless-UserGuide/jobs.html
If your job is still running even though you have received the results, it could be due to several reasons:
Long-running Spark Context: If you've set up a long-running Spark context or Spark session, the job might continue to run even after the specific computation is complete.
Delayed Shutdown: There might be a delay in shutting down the job or the underlying infrastructure, causing the job to appear as still running.
Status Update Delay: There might be a delay in updating the job's status in the EMR Console, causing it to show as still running even though it has been completed.
https://docs.aws.amazon.com/emr/latest/EMR-Serverless-UserGuide/jobs-spark.html
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