Github user zsxwing commented on the issue:
https://github.com/apache/spark/pull/16573
Since the log level is not stored in Spark, we cannot recover the correct
level if the user just uses
`org.apache.log4j.Logger.getRootLogger().setLevel(l)` to set. In addition, if I
use `org.apache.log4j.Logger.getRootLogger().setLevel(l)` to set the level in
my code, but Spark will change it after recovery, I would be very surprised.
Hence, I suggest to not fix this one.
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