tgravescs commented on pull request #28412:
URL: https://github.com/apache/spark/pull/28412#issuecomment-624070783


   concept seems good, a couple of high level questions without me having 
looked at the detailed code.
   I assume the number of threads to read is still 
spark.history.fs.numReplayThreads?
   It looks like you only have one thread to write to levelDB. Is this enough 
for it to not be backed up?  Lets say we have a very active history server and 
user loading a lot of large files, does the memory balloon before it can be 
flushed to levelDB?


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