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Notebook sessions automatically shut down after a period of inactivity. By default, the timeout is 20 minutes. What to do: Rerun the notebook to restart the session. Adjust the session.
Notebook sessions automatically shut down after a period of inactivity. By default, the timeout is 20 minutes. What to do: Rerun the notebook to restart the session. Adjust the session.
Sessions have limits on runtime and resources, and are timed out after a set amount of time (20 minutes by default) in order to prevent hogging resources. The most annoying thing ever is.
When you return to your notebook, the Spark session has timed out and when you run a cell, you have to wait for the damn thing to restart again. The agony, waiting for 2-3 minutes for the.
Understanding the Context
In short: if (spark) is checking to see if spark is undefined (set to None). spark.stop() just stops the SparkSession, it does not un-assign the variable. Try this instead:
When I open the notebook again, it appears as if it the notebook resumes, but it does not continue executing. I'd like to keep the notebook running in the background at night or when I close.
When a custom configuration error occurs during a session start, the Athena for Spark console shows an error message banner. To troubleshoot session start errors, you can check session state change or.
Spark Session # The entry point to programming Spark with the Dataset and DataFrame API. To create a Spark session, you should use SparkSession.builder attribute. See also SparkSession.
Key Insights
No. Notebooks always have an active Spark session assigned to the variable spark.
At the time of writing this blog post in Jan 2024 there is no way to programmatically stop the Spark session within the notebook. I did try a few things but none of them worked.
Remember to only use a Spark session for as long as you need. Its good etiquette to use spark.stop() (for PySpark) or spark_disconnect(sc) (for sparklyr) in your scripts. Stopping the container or Jupyter.
